Study Guide

Objective

After completing the course the student can:
Implement a desktop or a web application for an assigned task.
Program efficiently in a team using professional tools.
Reuse code, utilize libraries, and/or application platforms and application frameworks.
Write code from UML diagrams or implement user stories.
Understand some common design patterns.

Content

An assignment for a desktop or a web application.
Elaborating on programming language and features suitable for the application.
Learning and utilising one or more design patterns.
Using professional coding and version control tools.
Re-using code and utilising libraries, frameworks and/or platforms.
Developing a desktop or a web application as a team work.

Materials

External course video material is used in the course. This causes some costs for the student.

Other material on the Internet.

Teaching methods

- watching the course video and reading other material
- participating in the lectures
- programming together with instructor
- programming alone
- using emulator and other tools; configuring
- participating in the teamwork

Exam schedules

No exam.

Completion alternatives

The student can complete the course by demonstrating his knowledge and skills of the subjects of the course, for example with the work samples they have made. However, this must be agreed with the instructor during the first 4 weeks of the course.

The student can include a corresponding course taken elsewhere at some educational institution that is acceptable by our educational institution. This happens via AHOT process. Also this matter should be initiated immediately at the beginning of the course.

Student workload

40 h videos, reading
26 h contact lessons
4 h Presenting the teamwork and following the presentations of other groups onsite
39 h teamwork
26 h personal exercises

Content scheduling

Programming mobile Apps with React Native

The contents:

What is React Native?
The basics of React Native
Debugging
Styles and layouts
Navigation
App-WIde State Management
Handling user input
Sending HTTP requests
Authentication
Publishing

Expo and other tools.

6 personal assignments.
Teamwork (not compulsory) : Implementing a native mobile app

Evaluation scale

H-5

Assessment methods and criteria

The maximum number of points available from the course is 120.

Of that maximum, 60 points comes from personal exercises, 40 points from teamwork, and 20 points from being present on the lectures.

The course evaluation scale is the following:

Min points -> Grade

0 -> 0
40 -> 1
56 -> 2
72 -> 3
88 -> 4
104 -> 5

Please note this additional condition: You must get at least 25 points from the personal exercises.

The points from being present are calculated using the following scale:

Percentage of being present on the normal lectures -> points

30% -> 5
45% ->10
60%->15
80%->20

Please also note that by being present you can earn some of the points available from the individual exercises working together with the instructor.

You must be present in demonstration. It does not accumulate your points of being present. If you are not present in the demonstrations, then there is a reduction of 50 % of the points of your returned exercises on these demos. There is also a reduction of 50 % for exercises that are returned late. No exercises are accepted after the end date of the course implementation. After the end date of the course, no substitute or supplementary assignments will be given either. The student must therefore make sure that they collect enough points from different performances during the time of the course.

Assessment criteria, fail (0)

The student has not managed to accumulate enough points to pass the course during the time of the course. Consequently, they have not been able to demonstrate the kind of competence on the basis of which an acceptable grade could be given.

Assessment criteria, satisfactory (1-2)

The student knows what the native mobile apps are and knows issues related to their development
The student knows the basics of React Native
The student can implement a simple React Native App
The student knows some of the key tools used in JavaScript programming
The student knows some main tools used in React Native development

Assessment criteria, good (3-4)

The student knows what the native mobile apps are and knows issues related to their development
The student masters the basics of React Native
The student can implement a React Native App and utilize some of the React Native libraries
The student can search information to develop their mobile application skills and to solve problems
The student can utilize some key tools used in React Native development
The student can work in a mobile app development project

Assessment criteria, excellent (5)

The student knows what the native mobile apps are and knows extensively issues related to their development
The student masters extensively the basics React Native
The student can efficiently implement a React Native App and utilize the React Native libraries
The student can implement modular React Native Apps
The student can efficiently search information to develop their mobile application skills and to solve problems
The student can utilize key tools used in React Native development
The student can show initiative and work efficiently in different roles in a mobile app development project from the requirement collection to publishing

Objective

After completing the course, the student can:
- work with advanced topics in data engineering and AI

Content

Advanced topics in Data Engineering, AI and data analytics such as
- application security
- data privacy
- legislation on data protection
- ethics of AI

Materials

Course materials are prepared by the lecturer from various sources including books, online material, etc.

Recommended books to study in this course are:
-- Practical Data Privacy: Enhancing Privacy and Security in Data 1st Edition by Katharine Jarmul
-- Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition
by Joe Reis and Matt Housley

Teaching methods

Weekly contact sessions with total of 3 hours of theory and practical exercises.

Exam schedules

Exams including retake will be in Week 48 or 49 (at the same day as we have the regular lectures).

International connections

The course includes about 11 theory sessions and personal practice tasks.

This learning method combines theoretical knowledge with practical applications and real-world examples. It emphasizes understanding data engineering fundamental and privacy AI concepts, studying relevant technologies and techniques, and exploring practical implementations and use cases. Hands-on exercises, case studies, and projects will be incorporated to reinforce the learning experience

Completion alternatives

The exercises are mainly performed using Jupyter Notebook or other types of code scripts. Students will use TensorFlow and/or PyTorch. Strong python programming skills are needed to complete the exercises in part II.

Student workload

11 sessions (2.9-29.11.24 ) each 3 hours (2h lecture, 1h practice)+ Exam

Contact hours:
- Weeks 36 - 47: Theory & practice (3h/week): 11 x 3h = 33h
- Week 48: Exam: 2h
- In addition, about 5 support and inquiry hours (biweekly): 5x 1h = 5h

Total contact hours: 40 hours
Independent study and homework: about 90 h

Content scheduling

The course will be provided in two parts covering the following concepts:
Part I:
-- data security (encryption)
-- data privacy
-- data warehouses and data lakes
-- legislation on data protection (GDPR, data act)
Part II:
-- Data Regulations and Ethics in AI
-- Synthetic data generation
-- Differential privacy techniques
-- Decentralized machine learning and federated learning

Evaluation scale

H-5

Assessment methods and criteria

This course comprises 100 points including:
-- 22 points (1+1p each contact class: Lecture and Practical Session)
-- 44points for exercises
-- 34points for the exam

-Participation and exercises (50% of total to pass): Students must achieve at least 50% of the points to pass the course. Participation points can only be gained by being present in class during the Lecture and Practical sessions.

- Exam (50% of total points to pass): Students must achieve at least 50% of the points in order to pass the course.

The course is graded on a scale of 0-5.

Grading will be according to the total points collected by the student during the course as well as the exam.
1: 50% (minimum to pass the course)
2: 60-69%
3: 70-79%
4: 80-89%
5: 90-100%

Assessment criteria, fail (0)

<50% of total points or failed exam, exercise or participation points total.

Assessment criteria, satisfactory (1-2)

50-69% of the total points with passed exam, exercise and participation.

Assessment criteria, good (3-4)

70-89% of the total points with passed exam, exercise and participation.

Assessment criteria, excellent (5)

90-100% of the total points with passed exam, exercise and participation.

Objective

After completing the course a student can:
- find him/herself a work place in the field of his/her education
- complete work assignments together with workmates
- apply the knowledge and skills obtained during studies in work assignments
- describe the employer organization’s business idea, factors of profitability and elements of entrepreneurship
- evaluate the results of the work placement period.

Content

Getting familiar with the profession in the own field of technology.
The minimum total extent of practice included in the B.Eng. degree is 30 cr.

Evaluation scale

Hyväksytty/Hylätty

Qualifications

Basic Practice

Objective

After completing the course a student can:

find him/herself a work place in his/her competence area
complete work assignments connected to his/her competence area alone and as a member of a group
prearrange his/her workload and assignments
describe the employer organization’s leadership, external and internal communication and development of personnel
evaluate the results of the work placement period.

Content

Getting familiar with profession and work assignments in the student’s own competence area.

The minimum total extent of practice included in the B.Eng. degree is 30 cr.

Evaluation scale

H-5

Qualifications

Basic Practice, Field-Specific Practice

Objective

After completing the course the student can:
Knows the main alternatives technologies on the server-side in developing web applications.
Masters one server-side scripting language and can use some important libraries.
Understands the basics of web application architectures.
Can use a content management system or an application framework in implementing a web application.
Can use efficient tools in server-side scripting.

Content

Learning a server-side scripting language.
Introduction to web application architectures.
Integrating a database server to a web application.
Using a content management system or an application framework in implementing a web application.
Tools for server-side scripting.
Implementing a small scale web application.

Materials

* Coursebook:
Get Programming with Node.js
Jon Wexler
Manning Publications
1 edition (March 15, 2019)

* The book is 480 pages, but the reading area of the course is less than 300 pages.

* Unfortunately, the book is not available in electronic form through the library of our educational institution.

Teaching methods

- Programming By doing learning
- Interaction with teacher and classmates
- Teamwork project

International connections

The course includes approximately 12 theory sessions and practice sessions where students work with practical tasks.

Additionally, there are 5 x 1h online Q&A sessions for extra support.

Furthermore, exercises for home work that will be partly demonstrated in during contact sessions.

A teamwork project will be introduced in the second month, requiring students to apply their teamwork skills and knowledge gained from the course to implement their final project

We may also utilize a flipped-classroom model for some lectures, where students will study the theoretical part at home and engage in practical implementation and discussions during class.

Student workload

- 12 times 3h theory and practice: 12 x 3h = 36h
- 5 times 1h online Q&A sessions = 5h
- Home and independent work: approximately 70h
- Teamwork final project: approximately 24h

Total: approximately 135 hours

Content scheduling

The course includes approximately 12 supervised work and theory sessions.
Additionally, 10 personal exercises for homework that will be partly demonstrate in during contact session.
Furthermore, the course has a teamwork project that must be done in a group of 4 students.

* Exercise work is done individually outside the instructional sessions. The topic of the assignment is specified during the first month of the course.

* Planned course progress: (preplan)
Content and topic of lectures. We proceed according to the some chapters in the coursebook.
Note: students will also have some independent study or self-study tasks from the book chapters.

1: Chapters 0-2 of the Course Start Theory and Development Environment Creation Book
2: Modules and a simple web server - chapters 3-4 of the book
3. Chapters 5 and 6 of the Request Processing and Routing Book
4: Chapters 8 and 9 of the Express and MVC book
5: Outlook and Error Handling - Chapters 10 and 11
6: MongoDB Database Connection and Mongoose Schemas and Templates - Chapters 13 and 14 of the book
7: Controllers and Models - Chapter 16 of the book
8: Working with Data Models - Chapters 17 and 18 of the book
9: Working with Data Models - Chapters 19 and 21
10: Sessions and User Authentication - Book Chapters 22-24

* Two lectures will be used for demo and other as yet undefined purposes.

* Each group must set aside 15 minutes for the last week of the course to demonstrate the assignment. Individual teamwork must also be able to demonstrate on this occasion.

* The study plan may change as the course progresses.

Further information

** Prerequisites for Back- End Development Course:
1- JavaScript: Basic Syntax and Control Structures, Functions and Scope, Asynchronous Programming

2- Databases

** Recommendations (Optional but Beneficial):
1- Basic Understanding of RESTful APIs: Knowledge of HTTP methods (GET, POST, PUT, DELETE) and status codes.

2- Experience with JSON: Understanding of JSON format for data interchange.

3- Basic Knowledge of Git: Familiarity with version control using Git.

Evaluation scale

H-5

Assessment methods and criteria

- The course is graded on a scale of 0-5.
*
- In order to pass the course, the student must earn at least 50% of the points of personal assignments and 50% of the points of Teamwork project.
*
- You can get a maximum of 10 points for each practice task. You can therefore get a maximum of 100 points for all practice tasks, which affect the evaluation by 3 units.
- Participation in group work: 0.0 - 2.0 units.
*
-Students can earn one extra unit (ECTS) if they participate on at least 9 sessions (2-3h per each session) of the course.
Note: Grades will be rounded down if they include decimals less than 0.5; otherwise, they will be rounded up. (e.g., 3.4 is rounded down to 3.0, but 3.5 or higher is rounded up to 4.0)

Assessment criteria, fail (0)

The student does NOT get at least 50% of the points in project OR did not get at least 50% of the points in the course exercises.

Assessment criteria, satisfactory (1-2)

The student got 40-59% of the points for the exercises in the course AND got a grade of 1 - 3 for the project work.

Assessment criteria, good (3-4)

The student got 40-59% of the points for the exercises in the course AND got a grade of 1 - 3 for the project work.

Assessment criteria, excellent (5)

The student got at least 85% of the points for the exercises in the course AND got a grade 5 for the project work.

Objective

After completing the course the student can:
- Describe how data can be managed and processed
- Describe how data can be stored in various places and formats
- Manage and analyze data with suitable tools
- Utilize data management tools to process data
- Understand and describe how mathematics can be used for data management

Content

Introduction to data management
Data storage formats
Data storage
Introduction to data processing
Linear algebra
Data management tools

Materials

Material available via the learning environment (ITS).

Teaching methods

Weekly contact sessions when 3 hours for theory and practical exercises.

Exam schedules

Exam in Week 49.
Retake exam in January 2025.

International connections

The course includes approximately 12 theory sessions and guided exercises sessions where students work with practical tasks.
Around half of the exercises are done during the contact hours.
Additionally, exercises for home work that will be partly demonstrated in during contact sessions.

Student workload

Contact hours
- 12 times 1h theory: 12 x 1h = 12 hours (groups together)
- 12 times 2h practice: 12 x 2h = 24 hours (in own group)
- Exam: 2 hours
- 1h Q&A sessions 5-6 times = 5 hours
TOTAL: 43 hours

Home and independent work: approximately 90 hours

Total: approximately: 130 hours

Content scheduling

Weeks 36 - 48:
Introduction to data management
Introduction to Jupyter Notebook
Data storage formats
Basics of linear algebra (vectors, matrices, linear equations)
Data processing and visualization with Python
Basics of virtualization and Linux shell commands
Introduction to databases
Recap
Week 49: Exam
Week 49: Exam

Further information

Additional information is share via ITS

Evaluation scale

H-5

Assessment methods and criteria

You can achieve points from participation, exercises, participation and exam:
- 20% points from participation
- 50% points from practical exercises in class room and home work
- 30% points from the exam

Assessment:
- Participation and exercise (50% of total to pass): Students must achieve at least 50% of the points to pass the course.
- Exam (50% of total points to pass): Students must achieve at least 50% of the points in order to pass the course.

The course is graded on a scale of 0-5.
Grading will be according to the total points collected by the student during the course as well as the exam.
1: 50% (minimum to pass the course)
2: 60-70%
3: 70-80%
4: 80-90%
5: 90- 100%

Assessment criteria, fail (0)

Less than 50% points

Assessment criteria, satisfactory (1-2)

50 - 69% points

Assessment criteria, good (3-4)

70 - 89% points

Assessment criteria, excellent (5)

At least 90% points

Objective

After completing the course, the student can:
- Describe what Cloud Services are, how they affect business and which new opportunities it may enable.
- Describe use cases and benefits of cloud services,
- Describe SAAS, PAAS, IAAS.
- Develop a solution that utilizes cloud services.

Content

Introduction to cloud services
Software as a service (SAAS)
Platform as a service (PAAS)
Infrastructure as a service (IAAS)
Virtual machines and containers
Security of cloud services
Project work

Materials

Task-specific material to be announced separately in Its Learning and in AWS academy.

Teaching methods

- Weekly face-to-face meetings with lecture teaching and small group work
- Learning by doing and experimenting (exercise tasks, project work, information search)
- Small group work and peer learning
- Self-study material
- Teacher guidance and examples

Exam schedules

No exam, and retake not possible after evaluation grade is published.

International connections

FLIP classrooms and learning by doing

Completion alternatives

Not possible

Student workload

Contact hours
- Course introduction: 3 hours
- 12 times 3h theory and AWS support: 12 x 3h = 36 hours
- 16 times AWS Academy self paced sessions: 16 x 1h = 16 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 135 hours

Content scheduling

The course content is divided into four learning objectives(CLOs):

CLO1 Analyze classic data centers and cloud data center solutions.

Introduction to Cloud Computing
1.1 Understand the limitations of traditional computing and evolution of cloud computing
1.2 Understand the concepts of Cluster, Grid and Cloud Computing, its benefits and challenges

Cloud Computing Models and Services
1.3 Explore the standard cloud model, cloud deployment and service delivery models
1.4 Understand service abstraction

Resource Virtualization and Pooling
1.5 Implement physical computing resources virtualization
1.6 Implement machine, server level and operating system virtualization
1.7 Understand resource pooling, sharing and resource provisioning

CLO2 Design a cloud data center based on specific technical requirements.

Resource Virtualization and Pooling
2.1 Implement physical computing resources virtualization
2.2 Implement machine, server level and operating system virtualization

Scaling and Capacity Planning
2.3 Understand the foundation of cloud scaling
2.4 Explore scaling strategies and implement scalable applications
2.5 Explore approaches for capacity planning

Load Balancing
2.6 Explore the goals and categories of load balancing. Explore parameters for consideration.

File System and Storage
2.7 Understand the need for high performance processing and Big Data
2.8 Explore storage deployment models and differentiate various storage types

CLO3 Discuss the need for security, reliability and legal compliance of a cloud data center.
Database Technologies
3.1 Explore database models
3.2 Implement relational and non-relational database as a service

Cloud Computing Security
3.3 Understand the threats to cloud security
3.5 Explore and develop a cloud security model
3.6 Understand Trusted Cloud Computing

Privacy and Compliance
3.7 Explore key privacy concerns in the cloud
3.8 Differentiate security vs. privacy
3.9 Develop a privacy policy

CLO4 Design strategies for the implementation of effective cloud solutions to support business requirements.

Content Delivery Model
4.1 Understand and explore content delivery network models in the cloud

Portability and Interoperability
4.2 Explore portability and interoperability scenarios
4.3 Understand machine imaging
4.4 Differentiate virtual machine and virtual appliance

Cloud Management
4.5 Understand cloud service life cycle
4.6 Understand asset management in the cloud
4.7 Explore cloud service management
4.8 Develop disaster recovery strategies

SELF PACED / FLIP CLASSROOM
In addition to the above theoretical content the students will learn and practice the cloud concepts in AWS academy. The AWS academy online course covers the following modules.

Module 1 - Global Infrastructure
Module 2 - Structures of the Cloud
Module 3 - AWS Console
Module 4 - Virtual Servers
Module 5 - Content Delivery
Module 6 - Virtual Storage
Module 7 - Security 1
Module 8 - Security 2
Module 9 - Monitoring the Cloud
Module 10: Databases
Module 11 - Load Balancers and Caching
Module 12 - Elastic Beanstalk and Cloud Formation
Module 13 - Emerging Technologies in the Cloud
Module 14 - Billing and Support
Module 15 - Other Cloud Features
Module 16 - Optimizing the Cloud with the AWS CDK

Further information

Course material and assignments in Its Learning and AWS academy.

Evaluation scale

H-5

Assessment methods and criteria

Personal assignments: 50 points
AWS Academy Course labs: 30 points
Project: 20 points

The assignments must be returned by the deadline to get the points. The assignments returned after the deadline will give you only half of the points.
Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.

The grading scale (points -> grade):

50 points -> 1
60 points -> 2
70 points -> 3
80 points -> 4
90 points -> 5

Assessment criteria, fail (0)

Fail < 50 points

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5

Objective

After completing the course, the student can:
- Describe what Cloud Services are, how they affect business and which new opportunities it may enable.
- Describe use cases and benefits of cloud services,
- Describe SAAS, PAAS, IAAS.
- Develop a solution that utilizes cloud services.

Content

Introduction to cloud services
Software as a service (SAAS)
Platform as a service (PAAS)
Infrastructure as a service (IAAS)
Virtual machines and containers
Security of cloud services
Project work

Materials

Task-specific material to be announced separately in Its Learning and in AWS academy.

Teaching methods

- Weekly face-to-face meetings with lecture teaching and small group work
- Learning by doing and experimenting (exercise tasks, project work, information search)
- Small group work and peer learning
- Self-study material
- Teacher guidance and examples

Exam schedules

No exam, and retake not possible after evaluation grade is published.

International connections

FLIP classrooms and learning by doing

Completion alternatives

Not possible

Student workload

Contact hours
- Course introduction: 3 hours
- 12 times 2h theory: 12 x 2h = 24 hours
- 12 times 1h AWS Support: 12 x 1h = 12 hours
- 16 times AWS Academy self paced sessions: 16 x 1h = 16 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 135 hours

Content scheduling

The course content is divided into four learning objectives(CLOs):

CLO1 Analyze classic data centers and cloud data center solutions.

Introduction to Cloud Computing
1.1 Understand the limitations of traditional computing and evolution of cloud computing
1.2 Understand the concepts of Cluster, Grid and Cloud Computing, its benefits and challenges

Cloud Computing Models and Services
1.3 Explore the standard cloud model, cloud deployment and service delivery models
1.4 Understand service abstraction

Resource Virtualization and Pooling
1.5 Implement physical computing resources virtualization
1.6 Implement machine, server level and operating system virtualization
1.7 Understand resource pooling, sharing and resource provisioning

CLO2 Design a cloud data center based on specific technical requirements.

Resource Virtualization and Pooling
2.1 Implement physical computing resources virtualization
2.2 Implement machine, server level and operating system virtualization

Scaling and Capacity Planning
2.3 Understand the foundation of cloud scaling
2.4 Explore scaling strategies and implement scalable applications
2.5 Explore approaches for capacity planning

Load Balancing
2.6 Explore the goals and categories of load balancing. Explore parameters for consideration.

File System and Storage
2.7 Understand the need for high performance processing and Big Data
2.8 Explore storage deployment models and differentiate various storage types

CLO3 Discuss the need for security, reliability and legal compliance of a cloud data center.
Database Technologies
3.1 Explore database models
3.2 Implement relational and non-relational database as a service

Cloud Computing Security
3.3 Understand the threats to cloud security
3.5 Explore and develop a cloud security model
3.6 Understand Trusted Cloud Computing

Privacy and Compliance
3.7 Explore key privacy concerns in the cloud
3.8 Differentiate security vs. privacy
3.9 Develop a privacy policy

CLO4 Design strategies for the implementation of effective cloud solutions to support business requirements.

Content Delivery Model
4.1 Understand and explore content delivery network models in the cloud

Portability and Interoperability
4.2 Explore portability and interoperability scenarios
4.3 Understand machine imaging
4.4 Differentiate virtual machine and virtual appliance

Cloud Management
4.5 Understand cloud service life cycle
4.6 Understand asset management in the cloud
4.7 Explore cloud service management
4.8 Develop disaster recovery strategies

SELF PACED / FLIP CLASSROOM
In addition to the above theoretical content the students will learn and practice the cloud concepts in AWS academy. The AWS academy online course covers the following modules.

Module 1 - Global Infrastructure
Module 2 - Structures of the Cloud
Module 3 - AWS Console
Module 4 - Virtual Servers
Module 5 - Content Delivery
Module 6 - Virtual Storage
Module 7 - Security 1
Module 8 - Security 2
Module 9 - Monitoring the Cloud
Module 10: Databases
Module 11 - Load Balancers and Caching
Module 12 - Elastic Beanstalk and Cloud Formation
Module 13 - Emerging Technologies in the Cloud
Module 14 - Billing and Support
Module 15 - Other Cloud Features
Module 16 - Optimizing the Cloud with the AWS CDK

Further information

Course material and assignments in Its Learning and AWS academy.

Evaluation scale

H-5

Assessment methods and criteria

Personal assignments: 50 points
AWS Academy Course labs: 30 points
Project: 20 points

The assignments must be returned by the deadline to get the points. The assignments returned after the deadline will give you only half of the points.
Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.

The grading scale (points -> grade):

50 points -> 1
60 points -> 2
70 points -> 3
80 points -> 4
90 points -> 5

Assessment criteria, fail (0)

Fail < 50 points

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5

Objective

After completing the course the student can:
- explain the most common data structures
- apply the most common data structures and algorithms connected to the use of these structures
- evaluate the efficiency of algorithms.

Content

- lists, stacks, queues, trees, graphs and hash tables
- analysing and evaluating algorithms
- designing algorithms
- sorting methods
- search algorithms

Materials

Material available via the learning environment (ITS).

Teaching methods

Weekly contact 3 hours sessions for theory and practical exercises.
Additionally, if needed weekly 1h sessions for questions and support in exercises.

Exam schedules

No exam, and retake not possible after evaluation grade is published.

International connections

The course has 12 three-hour contact sessions where teacher present theory and examples and students work with practical tasks.
Additionally, students are able to receive extra guidance for exercises.

Electronic materials are used in the course. In addition, guidance is also organized online in order to reduce the carbon footprint caused by movement.

Completion alternatives

Not possible

Student workload

Contact hours
- Course introduction: 3 hours
- 13 times 2h theory: 13 x 2h = 26 hours
- 13 times 1h demo 13 x 1h = 13 hours - Group 1
- 13 times 1h demo 13 x 1h = 13 hours - - Group 2
- FLIP Classroom 10 X 1h = 10h
Home work:
- Working with assignments: approximately 80 hours


Total: approximately 130 hours

Content scheduling

Week 36: Course introduction

Session from Weeks 36 - 48
- Algorithms and algorithmic thinking
- Data structures
- Search algorithms
- Sorting algorithms

Contact hours according to lukkari.turkuamk.fi.

Further information

ITS and Teams.

Evaluation scale

H-5

Assessment methods and criteria

The course is graded on a scale of 0-5.

You can achieve 80 points from practical exercises in class room and home work exercises.
Around half of the exercises are done during the contact hours.

Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.


Additionally, there is a group project of 20 points, passing group project is mandatory to pass the course.

Lastly, to pass the course the student need to get at least 40 marks in the exercises and at least 10 marks in the project.

Assessment criteria, fail (0)

Less than 50% points in the exercises OR Student does not passed the group project.

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5

Qualifications

Introduction to Programming, or equivalent programming skills

Objective

The aim of the course is to activate and develop the students’ field-relevant English language and communication skills. The students will gain professional skills in various spoken and written communicative situations encountered in working life and society. In addition, they will learn to utilize tools and techniques to further develop their skills in authentic, field-specific contexts. More specifically, students will focus on developing their language and communication skills in.
Upon completing the course, the students should have acquired skills to communicate at level B2 according to European Framework of Reference for Languages, which states that at B2-level students should be able to produce clear, coherent and well-structured texts, present detailed descriptions related to one’s field of interest, express and exchange opinions using fluent language, follow complex arguments, and read longer articles and reports.

Content

- writing professional, field-specific texts
- presenting and discussing field-specific topics in a professional manner
- reading field-specific texts and utilizing the information in professional contexts
- learning and using key terminology of the field
- becoming professional, autonomous language users in working life

Materials

The course material is available in Its.

International connections

The course topics include sustainability with study on the key vocabulary, and discussion on the main aspects of sustainability.

Student workload

The students will work on contact meeting tasks, self-study tasks and be tested on their skills with spoken and written assignments on the course topics. The meeting tasks and assignments are completed during the contact meetings only. The self-study tasks are homework.

Content scheduling

The course will run from 2 September to 13 December.

The course consists of contact meetings (12x2h = 24h) and individual/group work in Its.

The course topics are professional emailing and reporting, meetings at work, and professional presentation. The topics include aspects of sustainability and/or digitalization, and field-specific vocabulary.

The aim of the course is to activate and develop the students’ field-relevant English language and communication skills. The students gain professional skills in various spoken and written communicative situations encountered in working life and society.

Learning objectives:

Spoken communication

The student
- presents topics in a structured way
- discusses topics using related terminology
- uses functional language e.g. signposting
- participates actively in discussions by commenting, asking, and reacting
- expresses themselves in a spontaneous way
- expresses themselves in a clear and logical way
- expresses themselves in their own words

Written communication

The student
- follows the structure and language of professional email and reporting
- recognizes and applies the appropriate style for the situation e.g. in terms of the vocabulary
- expresses themselves in a clear and logical way
- writes in their own words using sources correctly

Further information

The channel of communication during the course is Its.

Note that no general attendance is required but the assignments and meeting tasks are completed in contact meetings only (see evaluation).

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on

1) four assignments

- email message, mini-report, meeting and presentation
- the evaluation scale for the assignments is 1-5
- specific evaluation criteria is given in connection with the instructions
- the average of individual assignment evaluations forms the final evaluation
- the assignments are completed in contact meetings only

2) meeting tasks and self-study tasks

- 8 tasks
- the evaluation scale is passed/failed
- if you return less than 6 tasks, the final evaluation will drop by one grade
- the meeting tasks are completed in contact meetings only

Points to be noted:

- For full final evaluation complete ALL course work within the given deadlines.
- Note that course work cannot be done again or replaced by other work, or an exam.
- With problems of completing course work, contact the teacher BEFORE the deadlines.
- Assignments are not accepted after 15 December 2024.

Objective

The aim of the course is to activate and develop the students’ field-relevant English language and communication skills. The students will gain professional skills in various spoken and written communicative situations encountered in working life and society. In addition, they will learn to utilize tools and techniques to further develop their skills in authentic, field-specific contexts. More specifically, students will focus on developing their language and communication skills in.
Upon completing the course, the students should have acquired skills to communicate at level B2 according to European Framework of Reference for Languages, which states that at B2-level students should be able to produce clear, coherent and well-structured texts, present detailed descriptions related to one’s field of interest, express and exchange opinions using fluent language, follow complex arguments, and read longer articles and reports.

Content

- writing professional, field-specific texts
- presenting and discussing field-specific topics in a professional manner
- reading field-specific texts and utilizing the information in professional contexts
- learning and using key terminology of the field
- becoming professional, autonomous language users in working life

Materials

The course material is available in Its.

International connections

The course topics include sustainability with study on the key vocabulary, and discussion on the main aspects of sustainability.

Student workload

The students will work on contact meeting tasks, self-study tasks and be tested on their skills with spoken and written assignments on the course topics. The meeting tasks and assignments are completed during the contact meetings only. The self-study tasks are homework.

Content scheduling

The course will run from 2 September to 13 December.

The course consists of contact meetings (12x2h = 24h) and individual/group work in Its.

The course topics are professional emailing and reporting, meetings at work, and professional presentation. The topics include aspects of sustainability and/or digitalization, and field-specific vocabulary.

The aim of the course is to activate and develop the students’ field-relevant English language and communication skills. The students gain professional skills in various spoken and written communicative situations encountered in working life and society.

Learning objectives:

Spoken communication

The student
- presents topics in a structured way
- discusses topics using related terminology
- uses functional language e.g. signposting
- participates actively in discussions by commenting, asking, and reacting
- expresses themselves in a spontaneous way
- expresses themselves in a clear and logical way
- expresses themselves in their own words

Written communication

The student
- follows the structure and language of professional email and reporting
- recognizes and applies the appropriate style for the situation e.g. in terms of the vocabulary
- expresses themselves in a clear and logical way
- writes in their own words using sources correctly

Further information

The channel of communication during the course is Its.

Note that no general attendance is required but the assignments and meeting tasks are completed in contact meetings only (see evaluation).

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on

1) four assignments

- email message, mini-report, meeting and presentation
- the evaluation scale for the assignments is 1-5
- specific evaluation criteria is given in connection with the instructions
- the average of individual assignment evaluations forms the final evaluation
- the assignments are completed in contact meetings only

2) meeting tasks and self-study tasks

- 8 tasks
- the evaluation scale is passed/failed
- if you return less than 6 tasks, the final evaluation will drop by one grade
- the meeting tasks are completed in contact meetings only

Points to be noted:

- For full final evaluation complete ALL course work within the given deadlines.
- Note that course work cannot be done again or replaced by other work, or an exam.
- With problems of completing course work, contact the teacher BEFORE the deadlines.
- Assignments are not accepted after 15 December 2024.

Objective

By the end of this course, students will be able:

· Configure single-area OSPFv2 in both point-to-point and multiaccess networks.
· Explain how to mitigate threats and enhance network security using access control lists and security best practices.
· Implement standard IPv4 ACLs to filter traffic and secure administrative access.
· Configure NAT services on the edge router to provide IPv4 address scalability.
· Explain techniques to provide address scalability and secure remote access for WANs.
· Explain how to optimize, monitor, and troubleshoot scalable network architectures.
· Explain how networking devices implement QoS.
· Implement protocols to manage the network.
· Explain how technologies such as virtualization, software defined networking, and automation affect evolving networks.

Content

Enterprise Networking, Security, and Automation (ENSA) describes the architecture, components, operations, and security to scale for large, complex networks, including wide area network (WAN) technologies. The course emphasizes network security concepts and introduces network virtualization and automation. Students learn how to configure, troubleshoot, and secure enterprise network devices and understand how application programming interfaces (API) and configuration management tools enable network automation. The course includes activities using Packet Tracer, hands-on lab work, and a wide array of assessment types and tools.

Materials

All needed material will be available online in https://www.netacad.com
Further course enrollment instructions are provided by instructor.
Please register to the site using school email.

Exam schedules

Theory final exam and Packet Tracer exam will held in course.
You can do one re-exam within course deadline.
NOTE: Course ending time shown in academy system is not real, please check the course plan for end date!

Student workload

Lecturing and laboratory work each week
Independent studying, including:

- Studying the course material
- Completing exercises
- Preparation for finals exam(s)

Content scheduling

Course describes the architecture, components, operations, and security to scale for large, complex networks, including wide area network (WAN) technologies. The course emphasizes network security concepts and introduces network virtualization and automation. Students learn how to configure, troubleshoot, and secure enterprise network devices and understand how application programming interfaces (API) and configuration management tools enable network automation.

By the end of this course, students will be able:

- Configure single-area OSPFv2 in both point-to-point and multiaccess networks.
- Explain how to mitigate threats and enhance network security using access control lists and security best practices.
- Implement standard IPv4 ACLs to filter traffic and secure administrative access.
- Configure NAT services on the edge router to provide IPv4 address scalability.
- Explain techniques to provide address scalability and secure remote access for WANs.
- Explain how to optimize, monitor, and troubleshoot scalable network architectures.
- Explain how networking devices implement QoS.
- Implement protocols to manage the network.
- Explain how technologies such as virtualization, software defined networking, and automation affect evolving networks.

Evaluation scale

H-5

Assessment methods and criteria

Laboratory assignments in laboratory room
Packet tracer assignments done at home
Module exams
Practice final exams
Theory final exam and Packet Tracer final exam.


The overall result is the sum of the all results of the assignments and exams, passing limit is 60%.
Detailed grading limits will be provided in course plan when course starts but past grading limits have been the following:

Less than 60% Fail
60-67.4% Grade 1
68-75.4% Grade 2
76-83.4% Grade 3
84-91.4% Grade 4
91.5% or higher Grade 5

Qualifications

Courses Internet Networks and Security (5051215) and Introduction to Networks (TE00BU42) ,or equivalent skills.

Objective

By the end of this course, the student will:

understand the basics of the CDIO concept.
obtain foundational ideas of problem-solving skills and design thinking.
familiarize with usual ICT project management ideologies.
familiarize with basic concepts in software development.
familiarize with the curriculum contents and structure of their degree programme.
know the opportunities for accreditation of studies and recognition of competence, as well as for cross-institutional studying.
understands the importance of study skills and can assess their own areas for improvement.

Content

This course introduces the CDIO (Conceive-Design-Implement-Operate) framework with a specific focus on the 'Conceive and Design' aspects. Students will learn the principles of the CDIO model and its application in engineering and technological disciplines. Students gain practical experience in conceptualizing and designing solutions for real-world challenges. The student receives information about the curriculum, study and support opportunities, and the necessary study skills.

Completion alternatives

-

Content scheduling

This course is instructed in Finnish. Choose 'Finnish' in the language setting to see detailed course information.

Evaluation scale

Hyväksytty/Hylätty

Qualifications

None.

Objective

After completing the course the student can:
Work as a team member and/or project manager in an ICT project.
Customer communication.
Substance knowledge on ICT field.
Work-life skills and soft skills including team work, communication, communication in English, time management, professional attitude and self-management skills.

Content

Project work in an international project team in ICT projects.
Substance knowledge of different ICT field -related topics.
Working life skills (team working, communication, time management, professional attitude and taking responsibility) and problem-solving skills.

Materials

- Various internet sources, links & descriptions online
- Lecture slides
- theFIRMA's and course's itslearning

Teaching methods

Theory part consists of lectures, independent work, and group work.
In project, the student works together with the project team mainly onsite.

Exam schedules

No exam

To successfully pass the course, students must achieve passing grade in both the assignments and the project work components.

If a student does not pass the course, they are required to re-enroll and participate in the course during the next available offering, typically the following academic year.

International connections

Practical assignments and reports
Project work
Self-study

Completion alternatives

Project work part can be done in a company, if student has a ICT-related job. This has to be agreed separately with responsible teacher.

Student workload

This course is in total 10 ECTS: 10 x 27h = 270 hours of work.
The course will run during the autumn semester 2024.

To pass the course, the student must submit the required assignments on time. Moreover, there are also assignments that are done together during the lecture.

The theory part of the course consists of lectures and activities during the lecture(13x3h), assignments and self-study (136 hours), small group meetings (in total of 5 hours), and theFirma information sessions (in total of 9 hours).
Additionally the student is expected to participate in 4 guest lectures and write a report about them (27 hours)

The practical part of the course consists of 81 hours of project work
Majority of project work is done on-site.
For the project managers working in theFirma projects, there is obligatory weekly meeting that they are expected to participate. For other project members, the weekly meeting is voluntary.

Weekly working hours are 20.8 hours/week.

Content scheduling

This course provides students with an understanding how to be a team member in customer projects in ICT field as well as substance knowledge of different ICT field -related topics.

Students will collaborate in teams to undertake ICT field project work on customer projects.

Engaging in the customer projects develop students’ working life skills (for example, such as team working, communication, time management, professional attitude and taking responsibility) and problem solving skills.

Project teams are usually international and the official communication language is usually English. This develops students’ ability to multicultural communication and collaboration.

Further information

the course's and theFIRMA itslearning and Microsoft Teams

Evaluation scale

H-5

Assessment methods and criteria

The course consists of two parts, the theory part and the project work part.

The theory part includes 6 assignments:
- Two of the assignments are assessed by pass/fail scale, meaning that a pass equals 10 points and a fail equals 0 points.
- Four of the assignments the assessments is evaluated with 0-30 points.
Thus, the maximum number of points from the assignments are 140.
Late submission for the assignments will reduce the points by 50%.

In addition, the course includes guest lectures of which the student is required to write a report. The report is evaluated with the scale 0 – 30 points.

The presence in the theory lectures and small group meetings are marked down. The first and last lectures give the student 2 points, other lectures, small group meetings and theFirma information sessions are worth 1 point. In total, there are 30 points from presence.

Altogether these will give the students the maximum of 200 points. These points are evaluated in the following way:
Fail: 0-59 points — Fail
grade 1: 60 – 89 points
grade 2: 90 – 119 points
grade 3: 120 – 149 points
grade 4: 150 – 179 points
grade 5: 180 – 200 points.

Project work:
The students are required to work in the project a total of 81 hours.
- One working hour equals 1 point.
- Participating in one Tech Club session equals 2 points.
- Hosting one Tech Club session equals 5 points (this includes the time spent on planning the content and presenting).

The formative assessment of students' performance in the projects is based on self and peer assessment, customer’s feedback (if available) and project manager’s feedback.
All the required hours done equals to 81 points, every missing 15 hours means one grade point reduction of the grade student has received from the evaluation.

The final grade of the course is weighted average:
- Assignments, presence and the guest lecture report 70%
- Project work (evaluation based on self- and peer assessment) and project hours 30%

Accepted grade cannot be raised.

Assessment criteria, fail (0)

Less than 60 points from the theory part and project working hours not completed.

No show, not carrying out responsibilities, disappearing from team work, lack of communication with other team members.

Student has to pass assignments and project work to complete the course.

Assessment criteria, satisfactory (1-2)

Grade 1: under 90 points from the theory part and completing project work hours.
Grade 2: under 120 points from the theory part and completing project work hours.

Poor, but satisfactory performance both in independent work and team work. Low participation on lectures and other activities.

Student has to pass assignments and project work to complete the course.

Assessment criteria, good (3-4)

Grade 3: under 150 points from the theory part and completing project work hours.
Grade 4: under 180 points from the theory part and completing project work hours.

Good performance both in team work and independent work. Active participation on lectures and other activities.

Student has to pass assignments and project work to complete the course.

Assessment criteria, excellent (5)

Grade 5: 180 - 200 points from from the theory part and completing project work hours.

Excellent performance both in team work and independent work. Active participation on lectures and other activities.

Student has to pass assignments and project work to complete the course.

Objective

By the end of this course, students can:

understand the role of no-code and low-code tools in design processes.
design basic solutions in NCLC platforms.
collaborate in teams on an NCLC project.
consider NCLC implementation constraints and opportunities.
evaluate their NCLC-implemented projects.
reflect on the entire process.

Content

This course delves into the "Implement" and "Operate" stages of the CDIO framework using low-code/no-code tools. The students will complete a NCLC project including the following steps:
*Introduction to Software Development and No-Code/Low-Code Platforms
*Implementation with No-Code/Low-Code Platform
*Testing, Feedback, and Iteration

Materials

Material provided by the teacher and shared in learning environment (ITS).

Teaching methods

This course consists of:
- lectures: theoretical background and demonstrating the use of various low code/ no-code frameworks and environments that can be used for example in software / game / web development.
- practice sessions: practicing the use of NCLC tools introduced in lecture
- group work: students will complete a NCLC project where they use the tools and skills learned in lectures and practice

Exam schedules

-

International connections

In the course, skills are learned through exercises and practical project work.

Only electronic materials are used in the implementation.

Completion alternatives

-

Student workload

The student completes tasks related to the course, with an estimated workload:
- Theory lessons: 8 x 2h = 16h
- Practical lessons: 10 x 2h = 20h
- Group work: 2 x 2h = 4h
- Final event: 4h
- Other independent/group work: approximately 90h
TOTAL: approximately 135h

Content scheduling

This course delves into the "Implement" and "Operate" stages of the CDIO framework using No-Code/Low-Code (NCLC) tools. The students will complete a NCLC project including the following steps:
- Introduction to Software Development and No-Code/Low-Code Platforms
- Implementation with No-Code/Low-Code Platform
- Testing, Feedback, and Iteration

The course is implemented during weeks 39 - 50 as follows:
- Theory, weeks 39 - 47: 2h contact session for 8 weeks
- Practice, weeks 39 - 49: 2h contact session with your own tutor
- Group work, weeks 48-49: 2h independent working
- Final event, week 50

Further information

Available in ITS.

Evaluation scale

H-5

Assessment methods and criteria

The course is assessed by
- active participation and timely submission of practice tasks
- the final NCLC project outcome

Additional information about the assessment is provided in the first lecture.

Assessment criteria, fail (0)

The student fails the course if he/she fails
- to attend enough contact sessions (lecture, practice, group work)
- to complete enough practice tasks (less than 50%)

LCNC-project contribution and result: No active participation in the LCNC project or there is no product to present in the final session.

Assessment criteria, satisfactory (1-2)

Participation: Lectures and practice sessions are mostly attended at the rate greater than 75%
Weekly practice tasks: 50% - 70% are submitted in time

LCNC-project contribution and result: Based on peer-reviews, the student is contributing less than other group members AND the project was presented in the final session.

Assessment criteria, good (3-4)

Participation: Lectures and practice sessions are attended at the rate greater than 85%
Weekly practice tasks: 70% - 95% are submitted in time

LCNC-project contribution and result:
Active contribution in project work and is at least at average level based on peer-reviews AND the project result was presented in the final session.

Assessment criteria, excellent (5)

Participation: Lectures and practice sessions are attended at the rate greater than 90%
Weekly practice tasks: at least 95% of the tasks are submitted in time

LCNC-project contribution and result:
Active contribution in project work and is above average level based on peer-reviews AND
The project was presented in the final session AND
The student showed innovative ways of using LCNC tools, in addition to technical and project management skills.

Objective

After completing the course the student can:
- explain the different phases and main methods of the development of a software product
- explain the concepts class hierarchy, inheritance, and polymorphism, and utilize these in software development
- discuss the possibilities of parallel programming
- apply exception handling mechanisms
- design, implement and document a simple user interface application.

Content

- object-oriented structures
- error handling with exceptions
- threads
- database connection
- software development process and methods
- UML diagrams

Materials

Opintojakson työtilassa itslearningissa.

Teaching methods

Materiaalin lukeminen ja ohjelmointiharjoitusten tekeminen ohjatusti sekä itsenäisesti.

Harjoitustyö opettaa soveltamaan opittuja asioita laajemman sovelluksen näkökulmasta.

Materiaali pitää sisällään olio-ohjelmoinnin teoriaa sekä teoriaa valaisevia kuvia ja esimerkkikoodeja.

Exam schedules

Opintojaksolla ei ole tenttiä.

International connections

Itsearviointi
Opiskelijan tulee kiinnittää säännöllisesti huomiota omaan opiskeluunsa ja oppimiseensa.
Opiskelijaa pyydetään tekemään muistiinpanoja jokaisen viikkotehtäväsarjan kohdalla pohtien ainakin seuraavia asioita
* Tehtävän teema: Mitä tiesin teemasta etukäteen? Mitä ajatuksia teema herätti?
* Tehtävää tehdessä: Esiin nousseet ajatukset kohdistuen tehtävien vaativuustasoon ja mielenkiintoon
* Tehtävän jälkeen: Mitä opin?
sekä antamaan itselleen arvosana työskentelystään jokaisen viikkotehtäväsarjan kohdalla asteikolla: Erinomainen - Hyvä - Tyydyttävä.

Toteutuksella noudatetaan jatkuvan tekemisen ja arvioinnin mallia siten, että opiskelijan tulee tehdä, palauttaa ja demota kurssin tehtäviä säännöllisesti noudattaen kurssin tehtäville annettuja aikatauluja. Tällä tähdätään opiskelijan mahdollisuuteen seurata itsenäisesti omaa edistymistään ja oppimistaan kurssin aikana.

Jatkuva aktiivinen työskentely ja oppiminen tukevat ohjelmoinnissa esiintyvää spiraalioppimisen mallia.

Completion alternatives

1) Antamalla näytön esim. tekemästään työelämän projektista, jolla opiskelija osoittaa hallitsevansa opintojakson sisällön.
2) Sivustolla mooc.fi kuvataan ohjelmoinnin MOOC, joka vastaa sisällöltään Helsingin yliopiston tietojenkäsittelytieteen laitoksen kursseja Ohjelmoinnin perusteet ja Ohjelmoinnin jatkokurssi. Kurssit vastaavat yhteensä kymmentä opintopistettä (5+5).
Olio-ohjelmoinnin voi suorittaa tekemällä ohjelmoinnin MOOCin Java-kielisen loppuosan.

Toteutuksen valinnaisista suoritustavoista pitää aina keskustella kurssin opettajan kanssa heti toteutuksen alkaessa.

Student workload

Opintojakson suoritus edellyttää hyväksytysti suoritettujen harjoitustehtäväsarjojen tekemistä ja palauttamista määräaikaan mennessä. Lisäksi opiskelijan tulee esitellä tekemänsä tehtäväsarjat kurssin demotuntien aikana.

5 opintopistettä: 27 * 5 = 135 tuntia

Opintojakso ajoittuu aikavälille 1.9.2024 - 16.12.2024

Viikkotyömäärä: 135 tuntia / 13 viikkoa = 10,4 tuntia viikossa

Kurssilla annetaan kontaktiopetusta 5h viikkotasolla. Tämä koostuu luento-osiosta (3 h) ja koodiklinikasta (2 h). Luento-osio koostuu uusien asioiden teoriaopetuksesta ja näihin liittyvistä koodiesimerkeistä. Koodiklinikalla tehdään ohjelmoinnin harjoituksia yhdessä ja opiskelijat demoavat itsenäisesti tekemiään tehtäviä.

Toteutuksella seurataan opiskelijan läsnäoloa.

Content scheduling

This course is held in Finnish

Opintojakson suoritettuaan opiskelija osaa:
- kuvailla ohjelmistotuotteen kehitystyön vaiheet ja keskeiset menetelmät
- selittää käsitteet luokkahierarkia, periytyvyys ja monimuotoisuus sekä soveltaa niitä ohjelmistokehityksessä
- havainnoida säännöllisten lausekkeiden ja funktionaalisen ohjelmoinnin käyttömahdollisuuksia
- soveltaa poikkeusrakenteita
- suunnitella, toteuttaa ja dokumentoida yksinkertaisen käyttöliittymäsovelluksen.
Sisältö
- keskeisimmät oliorakenteet
- virheiden käsittely poikkeuksilla
- tietokantayhteyden luominen
- ohjelmistotuotannon prosessi ja menetelmät
- UML kaavioiden ymmärtäminen ja niiden piirtäminen

Further information

Kurssin viestintäkanava on itslearning.

Avoimen AMK:n opiskelijoita otetaan mukaan opintojaksolle max 3.
Lue myös opintojakson edeltävyysehdot.

Evaluation scale

H-5

Assessment methods and criteria

Arvosanan muodostuminen

Opintojakso pitää sisällään 8 viikkotehtäväsarjaa, joihin sisältyy ohjelmoinnin teorian opiskelua sekä aiheeseen liittyviä ohjelmointitehtäviä. Opiskelija saa pisteitä opettajalle demoamistaan tehtävistä.
Jokaisen viikkotehtäväsarjan maksimipistemäärä on 10 pistettä.
Viikkotehtäväsarjojen maksimipistemäärä on 80 pistettä.

Kurssilla tehdään harjoitustyö, jossa opiskelija tekee laajemman sovelluksen. Harjoitustyössä opiskelija pääsee soveltamaan oppimiaan asioita ja osoittamaan osaamistaan. Harjoitustyön tuotos demotaan opiskelijaryhmälle.
Harjoitustyön maksimipistemäärä on 40 pistettä.

Jos kurssin edetessä näyttää siltä, että opiskelija ei saavuta kurssin läpäisyyn tarvittavaa pistemäärää, niin hänen kanssaan sovitaan puuttuvien tehtävien tekemisestä takautuvasti. Näistä tehtävistä hän voi saada maksimissaan puolet tarjolla olevasta pistemäärästä. Opiskelijan tulee kerätä läpäisyyn vaadittava pistemäärä ennen kurssin loppumispäivämäärää.

Koko kurssilla on siis jaossa 120 pistettä.

Pistemäärä 48 (40%) -> arvosana 1
Pistämäärä 66 (55%) -> arvosana 2
Pistemäärä 84 (70%) -> arvosana 3
Pistemäärä 96 (80%) -> arvosana 4
Pistemäärä 108 (90%) -> arvosana 5

Assessment criteria, fail (0)

Katso yllä arvioinnin kohteet:

Opintojakson arvosana muodostuu opiskelijan tekemien, palauttamien ja demoamien tehtävien lukumäärän ja laadun perusteella.

Opiskelijan arvosana on hylätty, mikäli pistemäärä on alle 40 % maksimipistemäärästä.

Assessment criteria, satisfactory (1-2)

Katso yllä arvioinnin kohteet:

Opintojakson arvosana muodostuu opiskelijan tekemien, palauttamien ja demoamien tehtävien lukumäärän ja laadun perusteella.

Opiskelijan arvosana on 1, mikäli pistemäärä on yli 40 % mutta alle 55% maksimipistemäärästä.
Opiskelijan arvosana on 2, mikäli pistemäärä on yli 55 % mutta alle 70% maksimipistemäärästä.

Assessment criteria, good (3-4)

Katso yllä arvioinnin kohteet:

Opintojakson arvosana muodostuu opiskelijan tekemien, palauttamien ja demoamien tehtävien lukumäärän ja laadun perusteella.

Opiskelijan arvosana on 3, mikäli pistemäärä on yli 70 % mutta alle 80% maksimipistemäärästä.
Opiskelijan arvosana on 4, mikäli pistemäärä on yli 80 % mutta alle 90% maksimipistemäärästä.

Assessment criteria, excellent (5)

Katso yllä arvioinnin kohteet:

Opintojakson arvosana muodostuu opiskelijan tekemien, palauttamien ja demoamien tehtävien lukumäärän ja laadun perusteella.

Opiskelijan arvosana on 5, mikäli pistemäärä on vähintään 90% maksimipistemäärästä.

Qualifications

Introduction to Programming or equivalent programming skills

Objective

After completing the course a student can:
- find him/herself a workplace in the field of technology
- enter into a contract with the employer
- act upon the contractual obligations and responsibilities
- be present at the work place on the agreed dates and at the agreed times
- complete work assignments, at least under supervision
- describe functions of an organization and social relationships there
- evaluate the results of the work placement period.

Content

Getting familiar with working life and the profession in the field of technology.
The minimum total extent of practice included in the B.Eng. degree is 30 cr.

Evaluation scale

Hyväksytty/Hylätty

Objective

After completing the course, the student can:

Describe what Cloud Services are, how they affect business and which new opportunities it may enable.
Describe use cases and benefits of cloud services,
Describe SAAS, PAAS, IAAS.
Use some cloud services platforms.
Develops a solution that utilizes cloud services.

Content

Introduction to cloud services
Software as a service (SAAS)
Platform as a service (PAAS)
Infrastructure as a service (IAAS)
Virtual machines and containers
Security of cloud services
Project work

Materials

Task-specific material to be announced separately in Its Learning and in AWS academy.

Teaching methods

- Weekly face-to-face meetings with lecture teaching and small group work
- Learning by doing and experimenting (exercise tasks, project work, information search)
- Small group work and peer learning
- Self-study material
- Teacher guidance and examples

Exam schedules

No exam, and retake not possible after evaluation grade is published.

International connections

FLIP classrooms and learning by doing

Completion alternatives

Not possible

Student workload

Contact hours
- Course introduction: 3 hours
- 12 times 3h theory and AWS support: 12 x 3h = 36 hours
- 16 times AWS Academy self paced sessions: 16 x 1h = 16 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 135 hours

Content scheduling

The course content is divided into four learning objectives(CLOs):

CLO1 Analyze classic data centers and cloud data center solutions.

Introduction to Cloud Computing
1.1 Understand the limitations of traditional computing and evolution of cloud computing
1.2 Understand the concepts of Cluster, Grid and Cloud Computing, its benefits and challenges

Cloud Computing Models and Services
1.3 Explore the standard cloud model, cloud deployment and service delivery models
1.4 Understand service abstraction

Resource Virtualization and Pooling
1.5 Implement physical computing resources virtualization
1.6 Implement machine, server level and operating system virtualization
1.7 Understand resource pooling, sharing and resource provisioning

CLO2 Design a cloud data center based on specific technical requirements.

Resource Virtualization and Pooling
2.1 Implement physical computing resources virtualization
2.2 Implement machine, server level and operating system virtualization

Scaling and Capacity Planning
2.3 Understand the foundation of cloud scaling
2.4 Explore scaling strategies and implement scalable applications
2.5 Explore approaches for capacity planning

Load Balancing
2.6 Explore the goals and categories of load balancing. Explore parameters for consideration.

File System and Storage
2.7 Understand the need for high performance processing and Big Data
2.8 Explore storage deployment models and differentiate various storage types

CLO3 Discuss the need for security, reliability and legal compliance of a cloud data center.
Database Technologies
3.1 Explore database models
3.2 Implement relational and non-relational database as a service

Cloud Computing Security
3.3 Understand the threats to cloud security
3.5 Explore and develop a cloud security model
3.6 Understand Trusted Cloud Computing

Privacy and Compliance
3.7 Explore key privacy concerns in the cloud
3.8 Differentiate security vs. privacy
3.9 Develop a privacy policy

CLO4 Design strategies for the implementation of effective cloud solutions to support business requirements.

Content Delivery Model
4.1 Understand and explore content delivery network models in the cloud

Portability and Interoperability
4.2 Explore portability and interoperability scenarios
4.3 Understand machine imaging
4.4 Differentiate virtual machine and virtual appliance

Cloud Management
4.5 Understand cloud service life cycle
4.6 Understand asset management in the cloud
4.7 Explore cloud service management
4.8 Develop disaster recovery strategies

SELF PACED / FLIP CLASSROOM
In addition to the above theoretical content the students will learn and practice the cloud concepts in AWS academy. The AWS academy online course covers the following modules.

Module 1 - Global Infrastructure
Module 2 - Structures of the Cloud
Module 3 - AWS Console
Module 4 - Virtual Servers
Module 5 - Content Delivery
Module 6 - Virtual Storage
Module 7 - Security 1
Module 8 - Security 2
Module 9 - Monitoring the Cloud
Module 10: Databases
Module 11 - Load Balancers and Caching
Module 12 - Elastic Beanstalk and Cloud Formation
Module 13 - Emerging Technologies in the Cloud
Module 14 - Billing and Support
Module 15 - Other Cloud Features
Module 16 - Optimizing the Cloud with the AWS CDK

Further information

Course material and assignments in Its Learning and AWS academy.

Evaluation scale

H-5

Assessment methods and criteria

Personal assignments: 50 points
AWS Academy Course labs: 30 points
Project: 20 points

The assignments must be returned by the deadline to get the points. The assignments returned after the deadline will give you only half of the points.

Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.

The grading scale (points -> grade):

50 points -> 1
60 points -> 2
70 points -> 3
80 points -> 4
90 points -> 5

Assessment criteria, fail (0)

Fail < 50 points

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5

Objective

By the end of the course, students will be able to:

· Configure VLANs and Inter-VLAN routing applying security best practices.
· Troubleshoot inter-VLAN routing on Layer 3 devices.
· Configure redundancy on a switched network using STP and EtherChannel.
· Troubleshoot EtherChannel on switched networks.
· Explain how to support available and reliable networks using dynamic addressing and first-hop redundancy protocols.
· Configure dynamic address allocation in IPv6 networks.
· Configure WLANs using a WLC and L2 security best practices.
· Configure switch security to mitigate LAN attacks.
· Configure IPv4 and IPv6 static routing on routers.

Content

CCNAv7: Switching, Routing, and Wireless Essentials (SRWE) covers the architecture, components, and operations of routers and switches in small networks and introduces wireless local area networks (WLAN) and security concepts. Students learn how to configure and troubleshoot routers and switches for advanced functionality using security best practices and resolve common issues with protocols in both IPv4 and IPv6 networks. The course includes activities using Packet Tracer, hands-on lab work, and a wide array of assessment types and tools.

Materials

All needed material will be available online in https://www.netacad.com
Further course enrollment instructions are provided by instructor.
Please register to the site using school email.

Exam schedules

Theory final exam and Packet Tracer exam will held in course.
You can do one re-exam within course deadline.
NOTE: Course ending time shown in academy system is not real, please check the course plan for end date!

Student workload

Lecturing and laboratory work each week
Independent studying, including:

- Studying the course material
- Completing exercises
- Preparation for finals exam(s)

Content scheduling

Course covers the architecture, components, and operations of routers and switches in small networks and introduces wireless local area networks (WLAN) and security concepts. Students learn how to configure and troubleshoot routers and switches for advanced functionality using security best practices and resolve common issues with protocols in both IPv4 and IPv6 networks. The course includes activities using Packet Tracer, hands-on lab work, and a wide array of assessment types and tools. By the end of the course, students will be able to:

- Configure VLANs and Inter-VLAN routing applying security best practices.
- Troubleshoot inter-VLAN routing on Layer 3 devices.
- Configure redundancy on a switched network using STP and EtherChannel.
- Troubleshoot EtherChannel on switched networks.
- Explain how to support available and reliable networks using dynamic addressing and first-hop redundancy protocols.
- Configure dynamic address allocation in IPv6 networks.
- Configure WLANs using a WLC and L2 security best practices.
- Configure switch security to mitigate LAN attacks.
- Configure IPv4 and IPv6 static routing on routers.

Evaluation scale

H-5

Assessment methods and criteria

Laboratory assignments in laboratory room
Packet tracer assignments done at home
Module exams
Practice final exams
Theory final exam and Packet Tracer final exam.

The overall result is the sum of the all results of the assignments and exams, passing limit is 60%.
Detailed grading limits will be provided in course plan when course starts but past grading limits have been the following:

Less than 60% Fail
60-67.4% Grade 1
68-75.4% Grade 2
76-83.4% Grade 3
84-91.4% Grade 4
91.5% or higher Grade 5

Qualifications

Courses Internet Networks and Security (5051215) and Introduction to Networks (TE00BU11) or equivalent skills.

Objective

After completing the course the student:
- can program JavaScript programming language
- can use the React application framework
- is able to design modular front-end software
- knows the special features of front-end development
- is able to use efficient and modern programming tools

Content

- Basics of JavaScript
- Modern features of JavaScript
- The basics of the React library
- Front-end software design and modularization
- Front-end development features
- Development tools

Materials

The course material (Only selected parts from the books)
*
Eloquent JavaScript
Marijn Haverbeke
No Starch Press; 3 edition (December 4, 2018)
Available on the Net: http://eloquentjavascript.net
*
Professional JavaScript for Web Developers
5th Edition
Matt Frisbie
Published by Wrox
Available in ProQuest EBook Central
*
Selected project-based React-tutorial
*
Learning React : Modern Patterns for Developing React Apps
2nd edition
Alex Banks and Eve Porcello
Available in ProQuest EBook Central
*

Teaching methods

- reading the course books and other reading material, watching videos
- participating in the lectures
- programming together with instructor
- programming alone
- participating in the teamwork

Exam schedules

No exam

Completion alternatives

The student can complete the course by demonstrating his knowledge and skills of the subjects of the course, for example with the work samples they have made. However, this must be agreed with the instructor during the first 4 weeks of the course.

The student can include a corresponding course taken elsewhere at some educational institution that is acceptable by our educational institution. This happens via AHOT process. Also this matter should be initiated immediately at the beginning of the course.

Student workload

39 h contact lessons (Each 3h = 2h learning and 1h individual working with the presence of the instructor)
4 h presenting and following team works
40 h preparing teamwork
54 h doing personal exercises

Content scheduling

Contents

I. JavaScript (Lectures and personal exercises)

- Basics
- Strings
- Objects, destructuring
- Arrays, array operations
- Programming functions
- Error handling
- DOM, event handling
- Modules
- Asynchronous programming
- Tools

II. React (Lectures and a teamwork)

- Basics
- JSX
- Components
- Modularization
- Tools
- Managing state
- Hooks

III. Teamwork: A simple single page web application with React (without backend)

7 personal JavaScript exercises.
React-based Teamwork.

Further information

itsLearning and email

Evaluation scale

H-5

Assessment methods and criteria

The maximum number of points available from course is 120.

Of that maximum, 70 points comes from individual exercises, 30 points from teamwork, and 20 points from being present on the lectures.

The course evaluation scale is the following:

Min points -> Grade

0 -> 0
40 -> 1
56 -> 2
72 -> 3
88 -> 4
104 -> 5

Please note this additional condition: You must get at least 20 points from the exercises and 10 points from the teamwork to pass the course.

The points from being present are calculated using the following scale:

Percentage of being present on the normal lectures -> points

20% -> 5
40% ->10
60%->15
80%->20

Please also note that by being present you can earn some of the points available from the individual exercises working together with the instructor.

You must be present in demonstration. It does not accumulate your points of being present. If you are not present in the demonstrations, then there is a reduction of 50 % of the points of your returned exercises on these demos. There is also a reduction of 50 % for exercises that are returned late. No exercises are accepted after the end date of the course implementation. After the end date of the course, no substitute or supplementary assignments will be given either. The student must therefore make sure that he collects enough points from different performances during the time of the course.

Assessment criteria, fail (0)

The student has not managed to accumulate enough points to pass the course during the time of the course. Consequently, they have not been able to demonstrate the kind of competence on the basis of which an acceptable grade could be given.

Assessment criteria, satisfactory (1-2)

The student knows the application areas and the application environments of the JavaScript programming language
The student knows the basics of the modern JavaScript programming language
The student knows at least of the central front-end libraries of the JavaScript programming language
The student knows some of the key tools used in JavaScript programming
The student knows how to program simple applications with JavaScript or its library

Assessment criteria, good (3-4)

The student knows the application areas and the application environments of the JavaScript programming language
The student masters the basics of the modern JavaScript programming and some of the JavaScript's advanced features
The student can apply one of the central front-end libraries of the JavaScript programming language
The student knows how to search for information to develop his JavaScript and programming skills and to solve problems
The student knows how to use some key tools used in JavaScript programming
The student knows how to program applications with JavaScript and its libraries
The student knows how to work in a JavaScript programming project

Assessment criteria, excellent (5)

The student knows the application areas and the application environments of the JavaScript programming language
The student masters the of the modern JavaScript programming extensively and can utilize efficiently its libraries
The student knows how to efficiently search for information to develop his JavaScript and programming skills and to solve problems
The student knows how to effectively use and search for different tools used in JavaScript programming
The student knows how to design and program modularized applications with JavaScript and its libraries
The student knows how to work proactively and responsibly in a JavaScript programming project

Objective

After completing the course the student can:
Describe different software development methodologies and evaluate their feasibility to software projects
Describe software development project phases
Understand and draw UML diagrams
Understand the importance of specification and planning to software development
Work in different phases of a software project

Content

Software development project
Specification, planning, programming, testing, deployment, and maintenance of a software project
UML modelling

Materials

Lecture slides, material in Itslearning, linked web-based material and several local and remote applications

Teaching methods

Learning by doing: Attendance concerning the classes, doing assignments during the classes and homework and the sprint-based project work in small groups by applying Scrum

Exam schedules

There are no actual exams.

International connections

Using the existing devices, existing software and activity in the campus building in which the students already are with the high probability.

Completion alternatives

There is only one way of completion.

Student workload

Classes 40 hours, assignments during the classes and personal homework and studying (35 hours), project work in small groups (60 hours) with reporting in Itslearning, total 135 hours

Content scheduling

After the course, the student
- knows software project models and can estimate their suitability for the project at hand
- can operate at different stages of the software project
- understands the significance of planning, designing and testing in the software project
- is able to create software specifications (models with UML) and UI prototypes
- is able to apply version management (Git) in cooperation with others
- is able to apply Atlassian Jira Software tool for planning tasks, running Sprints and managing software requirements

Further information

An oral communication is used during the classes. For the written communication Itslearning and e-mail are applied.

Evaluation scale

H-5

Assessment methods and criteria

Grading with scale 0-5.

Group work is 60 % of the grade. To pass the course you need to pass the group work i.e. get at least half of the total points.
- Each sprint is evaluated with 0-2 points. There will be 6 Sprints in total. Passing the group work = min. 6 points.
- Sprint review, for example, 2 points (all tasks done in time, as requested, no weaknesses), 1 point (some shortcomings/omissions in answers), 0 point (not in time, some tasks missing, major faults).
- Points = Grade: 0-5 points = Failed; 6-8 points = 1; 9-10 points = 2; 11-12 points = 3 i.e. with the group work only, a student can get grade 3.

Active presence and/or returning exercises during the teaching session is 40 % of the grade.
- 1 point / session available, which is based on either presence or exercise returns during the session.
- With participating in sessions, a student can get 0-2 grades more on top of the group work grade
- Points = Grade: 0 points = 0 grade, half of the points = 1 grade, max points = 2 grades (and linearly between the lower and the upper bounds)

Assessment criteria, fail (0)

The student does not know how the knowledge or the methods or is not able to apply them on the level required in the criterion for grade of level 1-2.

Assessment criteria, satisfactory (1-2)

The student knows the basic concept of software engineering and knows some of the common design and planning methods of the discipline. The student is able to apply the knowledge and the methods in the simple given context. The student achieves the lower boundary of the points for the grade level concerning the course.

Assessment criteria, good (3-4)

The student knows the basic concept of software engineering with its fundamental properties and knows all the common design and planning methods of the discipline. The student is able to apply the knowledge and the methods in the given context. The student achieves the lower boundary of the points for the grade level concerning the course.

Assessment criteria, excellent (5)

The student knows the basic concept of software engineering with its fundamental properties and knows all the common design and planning methods of the discipline with the sovereign manners. The student is able to apply the knowledge and the methods in the any given context. The student achieves the lower boundary of the points for the grade level concerning the course.

Objective

After completing the course the student can:
* program efficiently in a team
* reuse code and utilize libraries
* understand and apply some design patterns
* use an IDE as a programming tool
* use a version control system

Content

* relevant programming libraries
* learning some common design patterns
* using IDE in programming
* using a version control system in application development
* project work: implementing an application in a team

Materials

The course book:

Microservice APIs: Using Python, Flask, FastAPI, OpenAPI and more
Jose Haro Peralta
Mar 7, 2023

The part 3 of the course book "Designing And Building GraphQL APIs" is going to be totally skipped.

A limited number of book licenses is going to be available via TUAS' electronic library.

Other learning material can be announced during the course.

Teaching methods

- reading the course books and other reading material, watching videos
- participating in the lectures
- programming together with instructor
- programming alone
- defining interactive documents
- participating in the teamwork

Completion alternatives

The student can complete the course by demonstrating his knowledge and skills of the subjects of the course, for example with the work samples they have made. However, this must be agreed with the instructor during the first 4 weeks of the course.

The student can include a corresponding course taken elsewhere at some educational institution that is acceptable by our educational institution. This happens via AHOT process. Also this matter should be initiated immediately at the beginning of the course.

Student workload

30 h contact lessons
4 h presenting and following team works onsite
47 h preparing teamworks
54 h doing personal exercises

Content scheduling

The contents.

REST API
Microservice Architecture
Designing and implementing a back-end service with a REST API
Documenting a REST API
Testing the REST API
Using professional tools

The programming language is Python.

6 personal assignments.
Two teamworks (not compulsory)

Evaluation scale

H-5

Assessment methods and criteria

The maximum number of points available from course is 120.

Of that maximum, 60 points comes from 6 individual exercises, 40 points from teamworks, and 20 points from being present on the lectures.

The course evaluation scale is the following:

Min points -> Grade

0 -> 0
40 -> 1
56 -> 2
72 -> 3
88 -> 4
104 -> 5

An additional condition: You must to get at least 25 points from the exercises to pass the course.

The points from being present are calculated in a following way:

Percentage of being present on the normal lectures -> points

20% -> 5
40% ->10
60%->15
80%->20

Please also note that by being present you can earn some of the points available from the individual exercises working together with the instructor.

You must be present in demonstration. It does not accumulate your points of being present. If you are not present in the demonstrations, then there is a reduction of 50 % of the points of your returned exercises on these demos. There is also a reduction of 50 % for exercises that are returned late. No exercises are accepted after the end date of the course implementation. After the end date of the course, no substitute or supplementary assignments will be given either. The student must therefore make sure that he collects enough points from different performances during the time of the course.

Assessment criteria, fail (0)

The student has not managed to accumulate enough points to pass the course during the time of the course. Consequently, they have not been able to demonstrate the kind of competence on the basis of which an acceptable grade could be given.

Assessment criteria, satisfactory (1-2)

The student understands the basic of the REST API
The student knows what microservice architecture and microservices are
The student can implement a simple REST API and call the services it offers
The student understands the importance of documenting the REST API in a modern way
The student is ready to use the programming, documentation and testing tools necessary for API development

Assessment criteria, good (3-4)

The student understands the basics of the REST API and related authentication
The student knows what microservice architecture and microservices are
The student can implement a simple REST API, the related authentication and call the services it offers
The student understands the importance of REST API documentation in a modern way and knows how to prepare these documents
The student can use the programming, documentation and testing tools necessary for API development
The student knows how to work in a project where a microservice that permanently stores data is implemented

Assessment criteria, excellent (5)

The student understands the basics of the REST API and related authentication
The student knows what microservice architecture and microservices are
The student knows how to implement a simple REST API, the related authentication and call the services it offers
The student understands the importance of REST API documentation in a modern way and knows how to prepare these documents
The student can test the REST API
The student can use efficiently the programming, documentation and testing tools necessary for interface development
The student can effectively search for information to develop their skills and solve problems
The student can work proactively and efficiently in various roles in API programming projects
The student knows how to work in a project where a microservice that permanently stores data is implemented

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

After completing the course the student is able to:
- Perform calculations in different numbering systems
- Make conversions between the numbering systems
- Represent logical expressions with Boolean algebra and use it for problem solving
- Utilize probability calculations in problem solving
- Analyse data with statistics
- Utilize tools when analysing data and performing mathematical calculations

Content

- Numbering systems and binary calculations
- Boolean algebra and logical operations
- Introduction to Probability Calculation
- Introduction to Business Mathematics
- Introduction to Statistics and Data Analysis

Evaluation scale

H-5

Objective

After completing the course the student:
- can name the devices and services used to support communications in data networks and the Internet
- is able to set up PC device connection to a network and solve common connection problems with relevant tools
- understands IP addressing and private addresses in LAN networks
- is familiar with network protocol stack model
- can use virtual machine on own computer
- can name and explain the basic principles of information security
- is familiar with information security risk management and vulnerabilities
- can understand the importance of information security for the Internet and operations in organizations and society
- understands privacy principles on personal level

Content

- network terminology and protocols
- IP-addressing and subnetting
- building Wireless and Wired Local Area Network
- building a Connected Network
- network devices hardware and software

- basic principles of information security
- use and importance of information security for operations in organization
- basic principles of privavy on personal level

Materials

Materials are distributed through ITSlearning platform.

Teaching methods

Lectures, demos, laboratory work, independent study.

Exam schedules

Tests at the end of both parts. Both tests have two separate time slots. There is no retake opportunity.

International connections

Contact teaching.
The teaching material is in English.

Completion alternatives

Demonstrating an equivalent amount of knowledge with previous trainings or certificates. Skills test.

Student workload

Lectures and demos 10x2h = 20h
Laboratory work 6x3h=18h
Homework and self-study = 68h
Test preparation = 20h
Tests 2 x 2h = 4h

A total of 130 hours

Content scheduling

Security starts in first period and Network in second period.

Further information

The student needs his own computer that can run Intel architecture virtual machines. In addition, it is recommended to get your own USB-ethernet adapter if the machine does not have a fixed ethernet connection.

Distribution of materials and other information about the course takes place through the Itslearning platform.

Evaluation scale

H-5

Assessment methods and criteria

At least 50% attendance at lectures.

Networks:
Weekly assignments: 10 p
Laboratory work: 20 p
Theory test: 20 p

Security:
Weekly assignments: 10 p
Laboratory work: 20 p
Theory test: 20 p

In total max 100p.

Assessment criteria, fail (0)

The student does not know the basic concepts of the field.
Less than 50 points in total score or lecture attendance less than 50%

Assessment criteria, satisfactory (1-2)

The student knows the basic concepts to some extent.
50-69 points in total score and lecture attendance more than 50%.

Assessment criteria, good (3-4)

The student knows the basic concepts quite well.
70-89 points in total score and lecture attendance more than 50%.

Assessment criteria, excellent (5)

The student knows the basic concepts very well and can apply knowledge to the basic needs of networks and information security.
Over 90 points in total score and lecture attendance more than 50%.

Objective

After completing the course the student:
- Knows different types of business information systems
- Understands the relationship between business and information systems
- Understands benefits and challenges related to information system integration
- Knows the main concepts and principles of ERP systems
- Can use an ERP system
- Can participate in ERP and IS procurement projects

Content

- Introduction to business information systems
- Introduction to ERP systems
- Using an ERP system in practise
- IS procurement process, tasks and documents

Materials

SAP UA:n SAP S/4HANA reading material and a case study. Available in digital form through the course environment.

The Odoo part uses a few chapters from the book:


Learn Odoo 12
Author: Greg Moss
Pages: 488 Size:
Publisher: Packt Publishing
Published: 31 October, 2019
eISBN-13: 9781789531480

The book is available in electronic form from our Ebook Central library.

Other material given by the instructors during the course, especially related to system procurement and development.

Teaching methods

Doing practical exercises and theory exercises in the classroom and at home.
Attending lectures
Working in groups
Reading literature and materials

Exam schedules

Exam in the last week of the course

International connections

The course introduces sustainable development related to the acquisition of an information system.

Completion alternatives

Not available

Student workload

Doing practical exercises and theory exercises in the classroom and at home 40 t
Attending lectures 40 t
Working in groups 40 t
Reading literature and materials 20 t

Content scheduling

Course contents in chronological order:
Basics of ERP systems 3 hours
Training of the use of the SAP ERP system 4h+2h
Purchasing an information system (preparing a tender request) 10h
Making an information system quotation 6h
Deploying and customizing Odoo ERP system 4h
Exam and presentation of exercises 4h

Further information

The teaching environment of the course with information and materials is itsLearning.
Applications such as Odoo and SAP are used during the course.

Teaching is carried out on site on campus. Practical ERP exercises (SAP and Odoo) require attendance in the classroom. The practice work is done in a small group and also requires attendance on the lessons on site.

Evaluation scale

H-5

Assessment methods and criteria

The course is graded as follows:

ERP: personal practice and theory exercises 30 p
Various information systems assignment 10 p
IT customer part of teamwork 20 p
IT supplier part of teamwork 20 p
Exam 20 p

A total of 100 p

Grade scale:

30 points -> grade 1; points 45 -> grade 2; points 60 -> grade 3; points 75 -> grade 4; 90 points -> grade 5.

Prerequisite: the student's points must be at least 10 points from Group work.

Assessment criteria, fail (0)

The student has not managed to accumulate enough points to pass the course during the time of the course. Consequently, they have not been able to demonstrate the kind of competence on the basis of which an acceptable grade could be given.

Assessment criteria, satisfactory (1-2)

The student knows what an enterprise resource planning system is and understands its importance in business
The student knows what a business process is
The student knows the concepts master data and a transaction
The student understands the stages of acquiring information systems and knows how to act in them.

Assessment criteria, good (3-4)

The student knows what an enterprise resource planning system is and understands its importance in business
The student knows the possible benefits and problems of enterprise resource planning systems
The student knows what a business process is and how an enterprise resource planning system can support its execution
The student knows the concepts master data, transaction, and their characteristics
The student knows the questions related to the selection and deployment of an enterprise resource planning system
The student has an understanding of why enterprise resource planning systems are often customized
The student has experience using an enterprise resource planning system
The student knows how to describe the operating environment and processes as required by the information system procurement, prepare prioritized system requirements and understand the evaluation criteria for tenders

Assessment criteria, excellent (5)

The student knows what an enterprise resource planning system is and understands its importance in business
The student knows the possible benefits and problems of enterprise resource planning systems
The student knows what a business process is and how an enterprise resource planning system can support its execution
The student knows the concepts master data, transaction, and their characteristics
The student knows the questions related to the selection and deployment of an enterprise resource planning system
The student has an understanding of why enterprise resource planning systems are often customized
The student has experience using an enterprise resource planning system
The student has experience in deploying and customizing an enterprise resource planning system in a small-scale
The student knows how to prepare comprehensive system requirements and justified tender comparison criteria, as well as utilize other quality-enhancing elements, such as sustainable development criteria, in the request for tenders.
The student knows how to communicate with the customer about the request for a quote and prepare a tender document and a demo implementation that meet the customer's requirements.

Objective

By the end of this course, students will be able:

· Configure single-area OSPFv2 in both point-to-point and multiaccess networks.
· Explain how to mitigate threats and enhance network security using access control lists and security best practices.
· Implement standard IPv4 ACLs to filter traffic and secure administrative access.
· Configure NAT services on the edge router to provide IPv4 address scalability.
· Explain techniques to provide address scalability and secure remote access for WANs.
· Explain how to optimize, monitor, and troubleshoot scalable network architectures.
· Explain how networking devices implement QoS.
· Implement protocols to manage the network.
· Explain how technologies such as virtualization, software defined networking, and automation affect evolving networks.

Content

Enterprise Networking, Security, and Automation (ENSA) describes the architecture, components, operations, and security to scale for large, complex networks, including wide area network (WAN) technologies. The course emphasizes network security concepts and introduces network virtualization and automation. Students learn how to configure, troubleshoot, and secure enterprise network devices and understand how application programming interfaces (API) and configuration management tools enable network automation. The course includes activities using Packet Tracer, hands-on lab work, and a wide array of assessment types and tools.

Materials

All needed material will be available online in https://www.netacad.com
Further course enrollment instructions are provided by instructor.
Please register to the site using school email.

Exam schedules

Theory final exam and Packet Tracer exam will held in course.
You can do one re-exam within course deadline.
NOTE: Course ending time shown in academy system is not real, please check the course plan for end date!

Student workload

Lecturing and laboratory work each week
Independent studying, including:

- Studying the course material
- Completing exercises
- Preparation for finals exam(s)

Content scheduling

Course describes the architecture, components, operations, and security to scale for large, complex networks, including wide area network (WAN) technologies. The course emphasizes network security concepts and introduces network virtualization and automation. Students learn how to configure, troubleshoot, and secure enterprise network devices and understand how application programming interfaces (API) and configuration management tools enable network automation.

By the end of this course, students will be able:

- Configure single-area OSPFv2 in both point-to-point and multiaccess networks.
- Explain how to mitigate threats and enhance network security using access control lists and security best practices.
- Implement standard IPv4 ACLs to filter traffic and secure administrative access.
- Configure NAT services on the edge router to provide IPv4 address scalability.
- Explain techniques to provide address scalability and secure remote access for WANs.
- Explain how to optimize, monitor, and troubleshoot scalable network architectures.
- Explain how networking devices implement QoS.
- Implement protocols to manage the network.
- Explain how technologies such as virtualization, software defined networking, and automation affect evolving networks.

Evaluation scale

H-5

Assessment methods and criteria

Laboratory assignments in laboratory room
Packet tracer assignments done at home
Module exams
Practice final exams
Theory final exam and Packet Tracer final exam.


The overall result is the sum of the all results of the assignments and exams, passing limit is 60%.
Detailed grading limits will be provided in course plan when course starts but past grading limits have been the following:

Less than 60% Fail
60-67.4% Grade 1
68-75.4% Grade 2
76-83.4% Grade 3
84-91.4% Grade 4
91.5% or higher Grade 5

Qualifications

Courses Internet Networks and Security (5051215) and Introduction to Networks (TE00BU42) ,or equivalent skills.

Objective

After completing the course, the student can:
- Describe what Cloud Services are, how they affect business and which new opportunities it may enable.
- Describe use cases and benefits of cloud services,
- Describe SAAS, PAAS, IAAS.
- Develop a solution that utilizes cloud services.

Content

Introduction to cloud services
Software as a service (SAAS)
Platform as a service (PAAS)
Infrastructure as a service (IAAS)
Virtual machines and containers
Security of cloud services
Project work

Materials

Task-specific material to be announced separately in Its Learning and in AWS academy.

Teaching methods

- Weekly face-to-face meetings with lecture teaching and small group work
- Learning by doing and experimenting (exercise tasks, project work, information search)
- Small group work and peer learning
- Self-study material
- Teacher guidance and examples

Exam schedules

No exam, and retake not possible after evaluation grade is published.

International connections

FLIP classrooms and learning by doing

Completion alternatives

Not possible

Student workload

Contact hours
- Course introduction: 3 hours
- 12 times 2h theory: 12 x 2h = 24 hours
- 12 times 1h AWS Support: 12 x 1h = 12 hours
- 16 times AWS Academy self paced sessions: 16 x 1h = 16 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 135 hours

Content scheduling

The course content is divided into four learning objectives(CLOs):

CLO1 Analyze classic data centers and cloud data center solutions.

Introduction to Cloud Computing
1.1 Understand the limitations of traditional computing and evolution of cloud computing
1.2 Understand the concepts of Cluster, Grid and Cloud Computing, its benefits and challenges

Cloud Computing Models and Services
1.3 Explore the standard cloud model, cloud deployment and service delivery models
1.4 Understand service abstraction

Resource Virtualization and Pooling
1.5 Implement physical computing resources virtualization
1.6 Implement machine, server level and operating system virtualization
1.7 Understand resource pooling, sharing and resource provisioning

CLO2 Design a cloud data center based on specific technical requirements.

Resource Virtualization and Pooling
2.1 Implement physical computing resources virtualization
2.2 Implement machine, server level and operating system virtualization

Scaling and Capacity Planning
2.3 Understand the foundation of cloud scaling
2.4 Explore scaling strategies and implement scalable applications
2.5 Explore approaches for capacity planning

Load Balancing
2.6 Explore the goals and categories of load balancing. Explore parameters for consideration.

File System and Storage
2.7 Understand the need for high performance processing and Big Data
2.8 Explore storage deployment models and differentiate various storage types

CLO3 Discuss the need for security, reliability and legal compliance of a cloud data center.
Database Technologies
3.1 Explore database models
3.2 Implement relational and non-relational database as a service

Cloud Computing Security
3.3 Understand the threats to cloud security
3.5 Explore and develop a cloud security model
3.6 Understand Trusted Cloud Computing

Privacy and Compliance
3.7 Explore key privacy concerns in the cloud
3.8 Differentiate security vs. privacy
3.9 Develop a privacy policy

CLO4 Design strategies for the implementation of effective cloud solutions to support business requirements.

Content Delivery Model
4.1 Understand and explore content delivery network models in the cloud

Portability and Interoperability
4.2 Explore portability and interoperability scenarios
4.3 Understand machine imaging
4.4 Differentiate virtual machine and virtual appliance

Cloud Management
4.5 Understand cloud service life cycle
4.6 Understand asset management in the cloud
4.7 Explore cloud service management
4.8 Develop disaster recovery strategies

SELF PACED / FLIP CLASSROOM
In addition to the above theoretical content the students will learn and practice the cloud concepts in AWS academy. The AWS academy online course covers the following modules.

Module 1 - Global Infrastructure
Module 2 - Structures of the Cloud
Module 3 - AWS Console
Module 4 - Virtual Servers
Module 5 - Content Delivery
Module 6 - Virtual Storage
Module 7 - Security 1
Module 8 - Security 2
Module 9 - Monitoring the Cloud
Module 10: Databases
Module 11 - Load Balancers and Caching
Module 12 - Elastic Beanstalk and Cloud Formation
Module 13 - Emerging Technologies in the Cloud
Module 14 - Billing and Support
Module 15 - Other Cloud Features
Module 16 - Optimizing the Cloud with the AWS CDK

Further information

Course material and assignments in Its Learning and AWS academy.

Evaluation scale

H-5

Assessment methods and criteria

Personal assignments: 50 points
AWS Academy Course labs: 30 points
Project: 20 points

The assignments must be returned by the deadline to get the points. The assignments returned after the deadline will give you only half of the points.
Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.

The grading scale (points -> grade):

50 points -> 1
60 points -> 2
70 points -> 3
80 points -> 4
90 points -> 5

Assessment criteria, fail (0)

Fail < 50 points

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5

Objective

By the end of the course, students will be able to:

· Configure VLANs and Inter-VLAN routing applying security best practices.
· Troubleshoot inter-VLAN routing on Layer 3 devices.
· Configure redundancy on a switched network using STP and EtherChannel.
· Troubleshoot EtherChannel on switched networks.
· Explain how to support available and reliable networks using dynamic addressing and first-hop redundancy protocols.
· Configure dynamic address allocation in IPv6 networks.
· Configure WLANs using a WLC and L2 security best practices.
· Configure switch security to mitigate LAN attacks.
· Configure IPv4 and IPv6 static routing on routers.

Content

CCNAv7: Switching, Routing, and Wireless Essentials (SRWE) covers the architecture, components, and operations of routers and switches in small networks and introduces wireless local area networks (WLAN) and security concepts. Students learn how to configure and troubleshoot routers and switches for advanced functionality using security best practices and resolve common issues with protocols in both IPv4 and IPv6 networks. The course includes activities using Packet Tracer, hands-on lab work, and a wide array of assessment types and tools.

Materials

All needed material will be available online in https://www.netacad.com
Further course enrollment instructions are provided by instructor.
Please register to the site using school email.

Exam schedules

Theory final exam and Packet Tracer exam will held in course.
You can do one re-exam within course deadline.
NOTE: Course ending time shown in academy system is not real, please check the course plan for end date!

Student workload

Lecturing and laboratory work each week
Independent studying, including:

- Studying the course material
- Completing exercises
- Preparation for finals exam(s)

Content scheduling

Course covers the architecture, components, and operations of routers and switches in small networks and introduces wireless local area networks (WLAN) and security concepts. Students learn how to configure and troubleshoot routers and switches for advanced functionality using security best practices and resolve common issues with protocols in both IPv4 and IPv6 networks. The course includes activities using Packet Tracer, hands-on lab work, and a wide array of assessment types and tools. By the end of the course, students will be able to:

- Configure VLANs and Inter-VLAN routing applying security best practices.
- Troubleshoot inter-VLAN routing on Layer 3 devices.
- Configure redundancy on a switched network using STP and EtherChannel.
- Troubleshoot EtherChannel on switched networks.
- Explain how to support available and reliable networks using dynamic addressing and first-hop redundancy protocols.
- Configure dynamic address allocation in IPv6 networks.
- Configure WLANs using a WLC and L2 security best practices.
- Configure switch security to mitigate LAN attacks.
- Configure IPv4 and IPv6 static routing on routers.

Evaluation scale

H-5

Assessment methods and criteria

Laboratory assignments in laboratory room
Packet tracer assignments done at home
Module exams
Practice final exams
Theory final exam and Packet Tracer final exam.

The overall result is the sum of the all results of the assignments and exams, passing limit is 60%.
Detailed grading limits will be provided in course plan when course starts but past grading limits have been the following:

Less than 60% Fail
60-67.4% Grade 1
68-75.4% Grade 2
76-83.4% Grade 3
84-91.4% Grade 4
91.5% or higher Grade 5

Qualifications

Courses Internet Networks and Security (5051215) and Introduction to Networks (TE00BU11) or equivalent skills.

Objective

By the end of this course, students can:

understand the role of no-code and low-code tools in design processes.
design basic solutions in NCLC platforms.
collaborate in teams on an NCLC project.
consider NCLC implementation constraints and opportunities.
evaluate their NCLC-implemented projects.
reflect on the entire process.

Content

This course delves into the "Implement" and "Operate" stages of the CDIO framework using low-code/no-code tools. The students will complete a NCLC project including the following steps:
*Introduction to Software Development and No-Code/Low-Code Platforms
*Implementation with No-Code/Low-Code Platform
*Testing, Feedback, and Iteration

Materials

Material provided by the teacher and shared in learning environment (ITS).

Teaching methods

This course consists of:
- lectures: theoretical background and demonstrating the use of various low code/ no-code frameworks and environments that can be used for example in software / game / web development.
- practice sessions: practicing the use of NCLC tools introduced in lecture
- group work: students will complete a NCLC project where they use the tools and skills learned in lectures and practice

Exam schedules

-

International connections

In the course, skills are learned through exercises and practical project work.

Only electronic materials are used in the implementation.

Completion alternatives

-

Student workload

The student completes tasks related to the course, with an estimated workload:
- Theory lessons: 8 x 2h = 16h
- Practical lessons: 10 x 2h = 20h
- Group work: 2 x 2h = 4h
- Final event: 4h
- Other independent/group work: approximately 90h
TOTAL: approximately 135h

Content scheduling

This course delves into the "Implement" and "Operate" stages of the CDIO framework using No-Code/Low-Code (NCLC) tools. The students will complete a NCLC project including the following steps:
- Introduction to Software Development and No-Code/Low-Code Platforms
- Implementation with No-Code/Low-Code Platform
- Testing, Feedback, and Iteration

The course is implemented during weeks 39 - 50 as follows:
- Theory, weeks 39 - 47: 2h contact session for 8 weeks
- Practice, weeks 39 - 49: 2h contact session with your own tutor
- Group work, weeks 48-49: 2h independent working
- Final event, week 50

Further information

Available in ITS.

Evaluation scale

H-5

Assessment methods and criteria

The course is assessed by
- active participation and timely submission of practice tasks
- the final NCLC project outcome

Additional information about the assessment is provided in the first lecture.

Assessment criteria, fail (0)

The student fails the course if he/she fails
- to attend enough contact sessions (lecture, practice, group work)
- to complete enough practice tasks (less than 50%)

LCNC-project contribution and result: No active participation in the LCNC project or there is no product to present in the final session.

Assessment criteria, satisfactory (1-2)

Participation: Lectures and practice sessions are mostly attended at the rate greater than 75%
Weekly practice tasks: 50% - 70% are submitted in time

LCNC-project contribution and result: Based on peer-reviews, the student is contributing less than other group members AND the project was presented in the final session.

Assessment criteria, good (3-4)

Participation: Lectures and practice sessions are attended at the rate greater than 85%
Weekly practice tasks: 70% - 95% are submitted in time

LCNC-project contribution and result:
Active contribution in project work and is at least at average level based on peer-reviews AND the project result was presented in the final session.

Assessment criteria, excellent (5)

Participation: Lectures and practice sessions are attended at the rate greater than 90%
Weekly practice tasks: at least 95% of the tasks are submitted in time

LCNC-project contribution and result:
Active contribution in project work and is above average level based on peer-reviews AND
The project was presented in the final session AND
The student showed innovative ways of using LCNC tools, in addition to technical and project management skills.

Objective

After completing the course the student can:
Implement a desktop or a web application for an assigned task.
Program efficiently in a team using professional tools.
Reuse code, utilize libraries, and/or application platforms and application frameworks.
Write code from UML diagrams or implement user stories.
Understand some common design patterns.

Content

An assignment for a desktop or a web application.
Elaborating on programming language and features suitable for the application.
Learning and utilising one or more design patterns.
Using professional coding and version control tools.
Re-using code and utilising libraries, frameworks and/or platforms.
Developing a desktop or a web application as a team work.

Materials

External course video material is used in the course. This causes some costs for the student.

Other material on the Internet.

Teaching methods

- watching the course video and reading other material
- participating in the lectures
- programming together with instructor
- programming alone
- using emulator and other tools; configuring
- participating in the teamwork

Exam schedules

No exam.

Completion alternatives

The student can complete the course by demonstrating his knowledge and skills of the subjects of the course, for example with the work samples they have made. However, this must be agreed with the instructor during the first 4 weeks of the course.

The student can include a corresponding course taken elsewhere at some educational institution that is acceptable by our educational institution. This happens via AHOT process. Also this matter should be initiated immediately at the beginning of the course.

Student workload

40 h videos, reading
26 h contact lessons
4 h Presenting the teamwork and following the presentations of other groups onsite
39 h teamwork
26 h personal exercises

Content scheduling

Programming mobile Apps with React Native

The contents:

What is React Native?
The basics of React Native
Debugging
Styles and layouts
Navigation
App-WIde State Management
Handling user input
Sending HTTP requests
Authentication
Publishing

Expo and other tools.

6 personal assignments.
Teamwork (not compulsory) : Implementing a native mobile app

Evaluation scale

H-5

Assessment methods and criteria

The maximum number of points available from the course is 120.

Of that maximum, 60 points comes from personal exercises, 40 points from teamwork, and 20 points from being present on the lectures.

The course evaluation scale is the following:

Min points -> Grade

0 -> 0
40 -> 1
56 -> 2
72 -> 3
88 -> 4
104 -> 5

Please note this additional condition: You must get at least 25 points from the personal exercises.

The points from being present are calculated using the following scale:

Percentage of being present on the normal lectures -> points

30% -> 5
45% ->10
60%->15
80%->20

Please also note that by being present you can earn some of the points available from the individual exercises working together with the instructor.

You must be present in demonstration. It does not accumulate your points of being present. If you are not present in the demonstrations, then there is a reduction of 50 % of the points of your returned exercises on these demos. There is also a reduction of 50 % for exercises that are returned late. No exercises are accepted after the end date of the course implementation. After the end date of the course, no substitute or supplementary assignments will be given either. The student must therefore make sure that they collect enough points from different performances during the time of the course.

Assessment criteria, fail (0)

The student has not managed to accumulate enough points to pass the course during the time of the course. Consequently, they have not been able to demonstrate the kind of competence on the basis of which an acceptable grade could be given.

Assessment criteria, satisfactory (1-2)

The student knows what the native mobile apps are and knows issues related to their development
The student knows the basics of React Native
The student can implement a simple React Native App
The student knows some of the key tools used in JavaScript programming
The student knows some main tools used in React Native development

Assessment criteria, good (3-4)

The student knows what the native mobile apps are and knows issues related to their development
The student masters the basics of React Native
The student can implement a React Native App and utilize some of the React Native libraries
The student can search information to develop their mobile application skills and to solve problems
The student can utilize some key tools used in React Native development
The student can work in a mobile app development project

Assessment criteria, excellent (5)

The student knows what the native mobile apps are and knows extensively issues related to their development
The student masters extensively the basics React Native
The student can efficiently implement a React Native App and utilize the React Native libraries
The student can implement modular React Native Apps
The student can efficiently search information to develop their mobile application skills and to solve problems
The student can utilize key tools used in React Native development
The student can show initiative and work efficiently in different roles in a mobile app development project from the requirement collection to publishing

Objective

After completing the course the student:
- can program JavaScript programming language
- can use the React application framework
- is able to design modular front-end software
- knows the special features of front-end development
- is able to use efficient and modern programming tools

Content

- Basics of JavaScript
- Modern features of JavaScript
- The basics of the React library
- Front-end software design and modularization
- Front-end development features
- Development tools

Materials

The course material (Only selected parts from the books)
*
Eloquent JavaScript
Marijn Haverbeke
No Starch Press; 3 edition (December 4, 2018)
Available on the Net: http://eloquentjavascript.net
*
Professional JavaScript for Web Developers
5th Edition
Matt Frisbie
Published by Wrox
Available in ProQuest EBook Central
*
Selected project-based React-tutorial
*
Learning React : Modern Patterns for Developing React Apps
2nd edition
Alex Banks and Eve Porcello
Available in ProQuest EBook Central
*

Teaching methods

- reading the course books and other reading material, watching videos
- participating in the lectures
- programming together with instructor
- programming alone
- participating in the teamwork

Exam schedules

No exam

Completion alternatives

The student can complete the course by demonstrating his knowledge and skills of the subjects of the course, for example with the work samples they have made. However, this must be agreed with the instructor during the first 4 weeks of the course.

The student can include a corresponding course taken elsewhere at some educational institution that is acceptable by our educational institution. This happens via AHOT process. Also this matter should be initiated immediately at the beginning of the course.

Student workload

39 h contact lessons (Each 3h = 2h learning and 1h individual working with the presence of the instructor)
4 h presenting and following team works
40 h preparing teamwork
54 h doing personal exercises

Content scheduling

Contents

I. JavaScript (Lectures and personal exercises)

- Basics
- Strings
- Objects, destructuring
- Arrays, array operations
- Programming functions
- Error handling
- DOM, event handling
- Modules
- Asynchronous programming
- Tools

II. React (Lectures and a teamwork)

- Basics
- JSX
- Components
- Modularization
- Tools
- Managing state
- Hooks

III. Teamwork: A simple single page web application with React (without backend)

7 personal JavaScript exercises.
React-based Teamwork.

Further information

itsLearning and email

Evaluation scale

H-5

Assessment methods and criteria

The maximum number of points available from course is 120.

Of that maximum, 70 points comes from individual exercises, 30 points from teamwork, and 20 points from being present on the lectures.

The course evaluation scale is the following:

Min points -> Grade

0 -> 0
40 -> 1
56 -> 2
72 -> 3
88 -> 4
104 -> 5

Please note this additional condition: You must get at least 20 points from the exercises and 10 points from the teamwork to pass the course.

The points from being present are calculated using the following scale:

Percentage of being present on the normal lectures -> points

20% -> 5
40% ->10
60%->15
80%->20

Please also note that by being present you can earn some of the points available from the individual exercises working together with the instructor.

You must be present in demonstration. It does not accumulate your points of being present. If you are not present in the demonstrations, then there is a reduction of 50 % of the points of your returned exercises on these demos. There is also a reduction of 50 % for exercises that are returned late. No exercises are accepted after the end date of the course implementation. After the end date of the course, no substitute or supplementary assignments will be given either. The student must therefore make sure that he collects enough points from different performances during the time of the course.

Assessment criteria, fail (0)

The student has not managed to accumulate enough points to pass the course during the time of the course. Consequently, they have not been able to demonstrate the kind of competence on the basis of which an acceptable grade could be given.

Assessment criteria, satisfactory (1-2)

The student knows the application areas and the application environments of the JavaScript programming language
The student knows the basics of the modern JavaScript programming language
The student knows at least of the central front-end libraries of the JavaScript programming language
The student knows some of the key tools used in JavaScript programming
The student knows how to program simple applications with JavaScript or its library

Assessment criteria, good (3-4)

The student knows the application areas and the application environments of the JavaScript programming language
The student masters the basics of the modern JavaScript programming and some of the JavaScript's advanced features
The student can apply one of the central front-end libraries of the JavaScript programming language
The student knows how to search for information to develop his JavaScript and programming skills and to solve problems
The student knows how to use some key tools used in JavaScript programming
The student knows how to program applications with JavaScript and its libraries
The student knows how to work in a JavaScript programming project

Assessment criteria, excellent (5)

The student knows the application areas and the application environments of the JavaScript programming language
The student masters the of the modern JavaScript programming extensively and can utilize efficiently its libraries
The student knows how to efficiently search for information to develop his JavaScript and programming skills and to solve problems
The student knows how to effectively use and search for different tools used in JavaScript programming
The student knows how to design and program modularized applications with JavaScript and its libraries
The student knows how to work proactively and responsibly in a JavaScript programming project

Objective

After completing the course the student can:
* program efficiently in a team
* reuse code and utilize libraries
* understand and apply some design patterns
* use an IDE as a programming tool
* use a version control system

Content

* relevant programming libraries
* learning some common design patterns
* using IDE in programming
* using a version control system in application development
* project work: implementing an application in a team

Materials

The course book:

Microservice APIs: Using Python, Flask, FastAPI, OpenAPI and more
Jose Haro Peralta
Mar 7, 2023

The part 3 of the course book "Designing And Building GraphQL APIs" is going to be totally skipped.

A limited number of book licenses is going to be available via TUAS' electronic library.

Other learning material can be announced during the course.

Teaching methods

- reading the course books and other reading material, watching videos
- participating in the lectures
- programming together with instructor
- programming alone
- defining interactive documents
- participating in the teamwork

Completion alternatives

The student can complete the course by demonstrating his knowledge and skills of the subjects of the course, for example with the work samples they have made. However, this must be agreed with the instructor during the first 4 weeks of the course.

The student can include a corresponding course taken elsewhere at some educational institution that is acceptable by our educational institution. This happens via AHOT process. Also this matter should be initiated immediately at the beginning of the course.

Student workload

30 h contact lessons
4 h presenting and following team works onsite
47 h preparing teamworks
54 h doing personal exercises

Content scheduling

The contents.

REST API
Microservice Architecture
Designing and implementing a back-end service with a REST API
Documenting a REST API
Testing the REST API
Using professional tools

The programming language is Python.

6 personal assignments.
Two teamworks (not compulsory)

Evaluation scale

H-5

Assessment methods and criteria

The maximum number of points available from course is 120.

Of that maximum, 60 points comes from 6 individual exercises, 40 points from teamworks, and 20 points from being present on the lectures.

The course evaluation scale is the following:

Min points -> Grade

0 -> 0
40 -> 1
56 -> 2
72 -> 3
88 -> 4
104 -> 5

An additional condition: You must to get at least 25 points from the exercises to pass the course.

The points from being present are calculated in a following way:

Percentage of being present on the normal lectures -> points

20% -> 5
40% ->10
60%->15
80%->20

Please also note that by being present you can earn some of the points available from the individual exercises working together with the instructor.

You must be present in demonstration. It does not accumulate your points of being present. If you are not present in the demonstrations, then there is a reduction of 50 % of the points of your returned exercises on these demos. There is also a reduction of 50 % for exercises that are returned late. No exercises are accepted after the end date of the course implementation. After the end date of the course, no substitute or supplementary assignments will be given either. The student must therefore make sure that he collects enough points from different performances during the time of the course.

Assessment criteria, fail (0)

The student has not managed to accumulate enough points to pass the course during the time of the course. Consequently, they have not been able to demonstrate the kind of competence on the basis of which an acceptable grade could be given.

Assessment criteria, satisfactory (1-2)

The student understands the basic of the REST API
The student knows what microservice architecture and microservices are
The student can implement a simple REST API and call the services it offers
The student understands the importance of documenting the REST API in a modern way
The student is ready to use the programming, documentation and testing tools necessary for API development

Assessment criteria, good (3-4)

The student understands the basics of the REST API and related authentication
The student knows what microservice architecture and microservices are
The student can implement a simple REST API, the related authentication and call the services it offers
The student understands the importance of REST API documentation in a modern way and knows how to prepare these documents
The student can use the programming, documentation and testing tools necessary for API development
The student knows how to work in a project where a microservice that permanently stores data is implemented

Assessment criteria, excellent (5)

The student understands the basics of the REST API and related authentication
The student knows what microservice architecture and microservices are
The student knows how to implement a simple REST API, the related authentication and call the services it offers
The student understands the importance of REST API documentation in a modern way and knows how to prepare these documents
The student can test the REST API
The student can use efficiently the programming, documentation and testing tools necessary for interface development
The student can effectively search for information to develop their skills and solve problems
The student can work proactively and efficiently in various roles in API programming projects
The student knows how to work in a project where a microservice that permanently stores data is implemented

Objective

After completing the course the student:
- Knows different types of business information systems
- Understands the relationship between business and information systems
- Understands benefits and challenges related to information system integration
- Knows the main concepts and principles of ERP systems
- Can use an ERP system
- Can participate in ERP and IS procurement projects

Content

- Introduction to business information systems
- Introduction to ERP systems
- Using an ERP system in practise
- IS procurement process, tasks and documents

Materials

SAP UA:n SAP S/4HANA reading material and a case study. Available in digital form through the course environment.

The Odoo part uses a few chapters from the book:


Learn Odoo 12
Author: Greg Moss
Pages: 488 Size:
Publisher: Packt Publishing
Published: 31 October, 2019
eISBN-13: 9781789531480

The book is available in electronic form from our Ebook Central library.

Other material given by the instructors during the course, especially related to system procurement and development.

Teaching methods

Doing practical exercises and theory exercises in the classroom and at home.
Attending lectures
Working in groups
Reading literature and materials

Exam schedules

Exam in the last week of the course

International connections

The course introduces sustainable development related to the acquisition of an information system.

Completion alternatives

Not available

Student workload

Doing practical exercises and theory exercises in the classroom and at home 40 t
Attending lectures 40 t
Working in groups 40 t
Reading literature and materials 20 t

Content scheduling

Course contents in chronological order:
Basics of ERP systems 3 hours
Training of the use of the SAP ERP system 4h+2h
Purchasing an information system (preparing a tender request) 10h
Making an information system quotation 6h
Deploying and customizing Odoo ERP system 4h
Exam and presentation of exercises 4h

Further information

The teaching environment of the course with information and materials is itsLearning.
Applications such as Odoo and SAP are used during the course.

Teaching is carried out on site on campus. Practical ERP exercises (SAP and Odoo) require attendance in the classroom. The practice work is done in a small group and also requires attendance on the lessons on site.

Evaluation scale

H-5

Assessment methods and criteria

The course is graded as follows:

ERP: personal practice and theory exercises 30 p
Various information systems assignment 10 p
IT customer part of teamwork 20 p
IT supplier part of teamwork 20 p
Exam 20 p

A total of 100 p

Grade scale:

30 points -> grade 1; points 45 -> grade 2; points 60 -> grade 3; points 75 -> grade 4; 90 points -> grade 5.

Prerequisite: the student's points must be at least 10 points from Group work.

Assessment criteria, fail (0)

The student has not managed to accumulate enough points to pass the course during the time of the course. Consequently, they have not been able to demonstrate the kind of competence on the basis of which an acceptable grade could be given.

Assessment criteria, satisfactory (1-2)

The student knows what an enterprise resource planning system is and understands its importance in business
The student knows what a business process is
The student knows the concepts master data and a transaction
The student understands the stages of acquiring information systems and knows how to act in them.

Assessment criteria, good (3-4)

The student knows what an enterprise resource planning system is and understands its importance in business
The student knows the possible benefits and problems of enterprise resource planning systems
The student knows what a business process is and how an enterprise resource planning system can support its execution
The student knows the concepts master data, transaction, and their characteristics
The student knows the questions related to the selection and deployment of an enterprise resource planning system
The student has an understanding of why enterprise resource planning systems are often customized
The student has experience using an enterprise resource planning system
The student knows how to describe the operating environment and processes as required by the information system procurement, prepare prioritized system requirements and understand the evaluation criteria for tenders

Assessment criteria, excellent (5)

The student knows what an enterprise resource planning system is and understands its importance in business
The student knows the possible benefits and problems of enterprise resource planning systems
The student knows what a business process is and how an enterprise resource planning system can support its execution
The student knows the concepts master data, transaction, and their characteristics
The student knows the questions related to the selection and deployment of an enterprise resource planning system
The student has an understanding of why enterprise resource planning systems are often customized
The student has experience using an enterprise resource planning system
The student has experience in deploying and customizing an enterprise resource planning system in a small-scale
The student knows how to prepare comprehensive system requirements and justified tender comparison criteria, as well as utilize other quality-enhancing elements, such as sustainable development criteria, in the request for tenders.
The student knows how to communicate with the customer about the request for a quote and prepare a tender document and a demo implementation that meet the customer's requirements.

Objective

By the end of this course, the student will:

understand the basics of the CDIO concept.
obtain foundational ideas of problem-solving skills and design thinking.
familiarize with usual ICT project management ideologies.
familiarize with basic concepts in software development.
familiarize with the curriculum contents and structure of their degree programme.
know the opportunities for accreditation of studies and recognition of competence, as well as for cross-institutional studying.
understands the importance of study skills and can assess their own areas for improvement.

Content

This course introduces the CDIO (Conceive-Design-Implement-Operate) framework with a specific focus on the 'Conceive and Design' aspects. Students will learn the principles of the CDIO model and its application in engineering and technological disciplines. Students gain practical experience in conceptualizing and designing solutions for real-world challenges. The student receives information about the curriculum, study and support opportunities, and the necessary study skills.

Completion alternatives

-

Content scheduling

This course is instructed in Finnish. Choose 'Finnish' in the language setting to see detailed course information.

Evaluation scale

Hyväksytty/Hylätty

Qualifications

None.

Objective

After completing the course the student can:
- Describe how data can be managed and processed
- Describe how data can be stored in various places and formats
- Manage and analyze data with suitable tools
- Utilize data management tools to process data
- Understand and describe how mathematics can be used for data management

Content

Introduction to data management
Data storage formats
Data storage
Introduction to data processing
Linear algebra
Data management tools

Materials

Material available via the learning environment (ITS).

Teaching methods

Weekly contact sessions when 3 hours for theory and practical exercises.

Exam schedules

Exam in Week 49.
Retake exam in January 2025.

International connections

The course includes approximately 12 theory sessions and guided exercises sessions where students work with practical tasks.
Around half of the exercises are done during the contact hours.
Additionally, exercises for home work that will be partly demonstrated in during contact sessions.

Student workload

Contact hours
- 12 times 1h theory: 12 x 1h = 12 hours (groups together)
- 12 times 2h practice: 12 x 2h = 24 hours (in own group)
- Exam: 2 hours
- 1h Q&A sessions 5-6 times = 5 hours
TOTAL: 43 hours

Home and independent work: approximately 90 hours

Total: approximately: 130 hours

Content scheduling

Weeks 36 - 48:
Introduction to data management
Introduction to Jupyter Notebook
Data storage formats
Basics of linear algebra (vectors, matrices, linear equations)
Data processing and visualization with Python
Basics of virtualization and Linux shell commands
Introduction to databases
Recap
Week 49: Exam
Week 49: Exam

Further information

Additional information is share via ITS

Evaluation scale

H-5

Assessment methods and criteria

You can achieve points from participation, exercises, participation and exam:
- 20% points from participation
- 50% points from practical exercises in class room and home work
- 30% points from the exam

Assessment:
- Participation and exercise (50% of total to pass): Students must achieve at least 50% of the points to pass the course.
- Exam (50% of total points to pass): Students must achieve at least 50% of the points in order to pass the course.

The course is graded on a scale of 0-5.
Grading will be according to the total points collected by the student during the course as well as the exam.
1: 50% (minimum to pass the course)
2: 60-70%
3: 70-80%
4: 80-90%
5: 90- 100%

Assessment criteria, fail (0)

Less than 50% points

Assessment criteria, satisfactory (1-2)

50 - 69% points

Assessment criteria, good (3-4)

70 - 89% points

Assessment criteria, excellent (5)

At least 90% points

Objective

After completing the course the student:
- can name the devices and services used to support communications in data networks and the Internet
- is able to set up PC device connection to a network and solve common connection problems with relevant tools
- understands IP addressing and private addresses in LAN networks
- is familiar with network protocol stack model
- can use virtual machine on own computer
- can name and explain the basic principles of information security
- is familiar with information security risk management and vulnerabilities
- can understand the importance of information security for the Internet and operations in organizations and society
- understands privacy principles on personal level

Content

- network terminology and protocols
- IP-addressing and subnetting
- building Wireless and Wired Local Area Network
- building a Connected Network
- network devices hardware and software

- basic principles of information security
- use and importance of information security for operations in organization
- basic principles of privavy on personal level

Materials

Materials are distributed through ITSlearning platform.

Teaching methods

Lectures, demos, laboratory work, independent study.

Exam schedules

Tests at the end of both parts. Both tests have two separate time slots. There is no retake opportunity.

International connections

Contact teaching.
The teaching material is in English.

Completion alternatives

Demonstrating an equivalent amount of knowledge with previous trainings or certificates. Skills test.

Student workload

Lectures and demos 10x2h = 20h
Laboratory work 6x3h=18h
Homework and self-study = 68h
Test preparation = 20h
Tests 2 x 2h = 4h

A total of 130 hours

Content scheduling

Security starts in first period and Network in second period.

Further information

The student needs his own computer that can run Intel architecture virtual machines. In addition, it is recommended to get your own USB-ethernet adapter if the machine does not have a fixed ethernet connection.

Distribution of materials and other information about the course takes place through the Itslearning platform.

Evaluation scale

H-5

Assessment methods and criteria

At least 50% attendance at lectures.

Networks:
Weekly assignments: 10 p
Laboratory work: 20 p
Theory test: 20 p

Security:
Weekly assignments: 10 p
Laboratory work: 20 p
Theory test: 20 p

In total max 100p.

Assessment criteria, fail (0)

The student does not know the basic concepts of the field.
Less than 50 points in total score or lecture attendance less than 50%

Assessment criteria, satisfactory (1-2)

The student knows the basic concepts to some extent.
50-69 points in total score and lecture attendance more than 50%.

Assessment criteria, good (3-4)

The student knows the basic concepts quite well.
70-89 points in total score and lecture attendance more than 50%.

Assessment criteria, excellent (5)

The student knows the basic concepts very well and can apply knowledge to the basic needs of networks and information security.
Over 90 points in total score and lecture attendance more than 50%.

Objective

After completing the course the student can:
- explain the most common data structures
- apply the most common data structures and algorithms connected to the use of these structures
- evaluate the efficiency of algorithms.

Content

- lists, stacks, queues, trees, graphs and hash tables
- analysing and evaluating algorithms
- designing algorithms
- sorting methods
- search algorithms

Materials

Material available via the learning environment (ITS).

Teaching methods

Weekly contact 3 hours sessions for theory and practical exercises.
Additionally, if needed weekly 1h sessions for questions and support in exercises.

Exam schedules

No exam, and retake not possible after evaluation grade is published.

International connections

The course has 12 three-hour contact sessions where teacher present theory and examples and students work with practical tasks.
Additionally, students are able to receive extra guidance for exercises.

Electronic materials are used in the course. In addition, guidance is also organized online in order to reduce the carbon footprint caused by movement.

Completion alternatives

Not possible

Student workload

Contact hours
- Course introduction: 3 hours
- 13 times 2h theory: 13 x 2h = 26 hours
- 13 times 1h demo 13 x 1h = 13 hours - Group 1
- 13 times 1h demo 13 x 1h = 13 hours - - Group 2
- FLIP Classroom 10 X 1h = 10h
Home work:
- Working with assignments: approximately 80 hours


Total: approximately 130 hours

Content scheduling

Week 36: Course introduction

Session from Weeks 36 - 48
- Algorithms and algorithmic thinking
- Data structures
- Search algorithms
- Sorting algorithms

Contact hours according to lukkari.turkuamk.fi.

Further information

ITS and Teams.

Evaluation scale

H-5

Assessment methods and criteria

The course is graded on a scale of 0-5.

You can achieve 80 points from practical exercises in class room and home work exercises.
Around half of the exercises are done during the contact hours.

Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.


Additionally, there is a group project of 20 points, passing group project is mandatory to pass the course.

Lastly, to pass the course the student need to get at least 40 marks in the exercises and at least 10 marks in the project.

Assessment criteria, fail (0)

Less than 50% points in the exercises OR Student does not passed the group project.

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5

Qualifications

Introduction to Programming, or equivalent programming skills

Objective

After completing the course, the student can:
- Describe what Cloud Services are, how they affect business and which new opportunities it may enable.
- Describe use cases and benefits of cloud services,
- Describe SAAS, PAAS, IAAS.
- Develop a solution that utilizes cloud services.

Content

Introduction to cloud services
Software as a service (SAAS)
Platform as a service (PAAS)
Infrastructure as a service (IAAS)
Virtual machines and containers
Security of cloud services
Project work

Materials

Task-specific material to be announced separately in Its Learning and in AWS academy.

Teaching methods

- Weekly face-to-face meetings with lecture teaching and small group work
- Learning by doing and experimenting (exercise tasks, project work, information search)
- Small group work and peer learning
- Self-study material
- Teacher guidance and examples

Exam schedules

No exam, and retake not possible after evaluation grade is published.

International connections

FLIP classrooms and learning by doing

Completion alternatives

Not possible

Student workload

Contact hours
- Course introduction: 3 hours
- 12 times 3h theory and AWS support: 12 x 3h = 36 hours
- 16 times AWS Academy self paced sessions: 16 x 1h = 16 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 135 hours

Content scheduling

The course content is divided into four learning objectives(CLOs):

CLO1 Analyze classic data centers and cloud data center solutions.

Introduction to Cloud Computing
1.1 Understand the limitations of traditional computing and evolution of cloud computing
1.2 Understand the concepts of Cluster, Grid and Cloud Computing, its benefits and challenges

Cloud Computing Models and Services
1.3 Explore the standard cloud model, cloud deployment and service delivery models
1.4 Understand service abstraction

Resource Virtualization and Pooling
1.5 Implement physical computing resources virtualization
1.6 Implement machine, server level and operating system virtualization
1.7 Understand resource pooling, sharing and resource provisioning

CLO2 Design a cloud data center based on specific technical requirements.

Resource Virtualization and Pooling
2.1 Implement physical computing resources virtualization
2.2 Implement machine, server level and operating system virtualization

Scaling and Capacity Planning
2.3 Understand the foundation of cloud scaling
2.4 Explore scaling strategies and implement scalable applications
2.5 Explore approaches for capacity planning

Load Balancing
2.6 Explore the goals and categories of load balancing. Explore parameters for consideration.

File System and Storage
2.7 Understand the need for high performance processing and Big Data
2.8 Explore storage deployment models and differentiate various storage types

CLO3 Discuss the need for security, reliability and legal compliance of a cloud data center.
Database Technologies
3.1 Explore database models
3.2 Implement relational and non-relational database as a service

Cloud Computing Security
3.3 Understand the threats to cloud security
3.5 Explore and develop a cloud security model
3.6 Understand Trusted Cloud Computing

Privacy and Compliance
3.7 Explore key privacy concerns in the cloud
3.8 Differentiate security vs. privacy
3.9 Develop a privacy policy

CLO4 Design strategies for the implementation of effective cloud solutions to support business requirements.

Content Delivery Model
4.1 Understand and explore content delivery network models in the cloud

Portability and Interoperability
4.2 Explore portability and interoperability scenarios
4.3 Understand machine imaging
4.4 Differentiate virtual machine and virtual appliance

Cloud Management
4.5 Understand cloud service life cycle
4.6 Understand asset management in the cloud
4.7 Explore cloud service management
4.8 Develop disaster recovery strategies

SELF PACED / FLIP CLASSROOM
In addition to the above theoretical content the students will learn and practice the cloud concepts in AWS academy. The AWS academy online course covers the following modules.

Module 1 - Global Infrastructure
Module 2 - Structures of the Cloud
Module 3 - AWS Console
Module 4 - Virtual Servers
Module 5 - Content Delivery
Module 6 - Virtual Storage
Module 7 - Security 1
Module 8 - Security 2
Module 9 - Monitoring the Cloud
Module 10: Databases
Module 11 - Load Balancers and Caching
Module 12 - Elastic Beanstalk and Cloud Formation
Module 13 - Emerging Technologies in the Cloud
Module 14 - Billing and Support
Module 15 - Other Cloud Features
Module 16 - Optimizing the Cloud with the AWS CDK

Further information

Course material and assignments in Its Learning and AWS academy.

Evaluation scale

H-5

Assessment methods and criteria

Personal assignments: 50 points
AWS Academy Course labs: 30 points
Project: 20 points

The assignments must be returned by the deadline to get the points. The assignments returned after the deadline will give you only half of the points.
Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.

The grading scale (points -> grade):

50 points -> 1
60 points -> 2
70 points -> 3
80 points -> 4
90 points -> 5

Assessment criteria, fail (0)

Fail < 50 points

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5

Objective

After completing the course, the student can:
- work with advanced topics in data engineering and AI

Content

Advanced topics in Data Engineering, AI and data analytics such as
- application security
- data privacy
- legislation on data protection
- ethics of AI

Materials

Course materials are prepared by the lecturer from various sources including books, online material, etc.

Recommended books to study in this course are:
-- Practical Data Privacy: Enhancing Privacy and Security in Data 1st Edition by Katharine Jarmul
-- Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition
by Joe Reis and Matt Housley

Teaching methods

Weekly contact sessions with total of 3 hours of theory and practical exercises.

Exam schedules

Exams including retake will be in Week 48 or 49 (at the same day as we have the regular lectures).

International connections

The course includes about 11 theory sessions and personal practice tasks.

This learning method combines theoretical knowledge with practical applications and real-world examples. It emphasizes understanding data engineering fundamental and privacy AI concepts, studying relevant technologies and techniques, and exploring practical implementations and use cases. Hands-on exercises, case studies, and projects will be incorporated to reinforce the learning experience

Completion alternatives

The exercises are mainly performed using Jupyter Notebook or other types of code scripts. Students will use TensorFlow and/or PyTorch. Strong python programming skills are needed to complete the exercises in part II.

Student workload

11 sessions (2.9-29.11.24 ) each 3 hours (2h lecture, 1h practice)+ Exam

Contact hours:
- Weeks 36 - 47: Theory & practice (3h/week): 11 x 3h = 33h
- Week 48: Exam: 2h
- In addition, about 5 support and inquiry hours (biweekly): 5x 1h = 5h

Total contact hours: 40 hours
Independent study and homework: about 90 h

Content scheduling

The course will be provided in two parts covering the following concepts:
Part I:
-- data security (encryption)
-- data privacy
-- data warehouses and data lakes
-- legislation on data protection (GDPR, data act)
Part II:
-- Data Regulations and Ethics in AI
-- Synthetic data generation
-- Differential privacy techniques
-- Decentralized machine learning and federated learning

Evaluation scale

H-5

Assessment methods and criteria

This course comprises 100 points including:
-- 22 points (1+1p each contact class: Lecture and Practical Session)
-- 44points for exercises
-- 34points for the exam

-Participation and exercises (50% of total to pass): Students must achieve at least 50% of the points to pass the course. Participation points can only be gained by being present in class during the Lecture and Practical sessions.

- Exam (50% of total points to pass): Students must achieve at least 50% of the points in order to pass the course.

The course is graded on a scale of 0-5.

Grading will be according to the total points collected by the student during the course as well as the exam.
1: 50% (minimum to pass the course)
2: 60-69%
3: 70-79%
4: 80-89%
5: 90-100%

Assessment criteria, fail (0)

<50% of total points or failed exam, exercise or participation points total.

Assessment criteria, satisfactory (1-2)

50-69% of the total points with passed exam, exercise and participation.

Assessment criteria, good (3-4)

70-89% of the total points with passed exam, exercise and participation.

Assessment criteria, excellent (5)

90-100% of the total points with passed exam, exercise and participation.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

In the studies of the Finnish language and communication, you will become familiar with expert and workplace communication. During this course, you will practice communication and interaction skills required in the professional world.

After completing the course, you will be able to:
• operate in communication and interaction situations in your own field
• develop your own communication skills
• consider the recipient, the situation, and the practices of your professional field.

Content

Course content:
- Characteristics of professional communication style
- Analysis and writing of field-specific texts
- Workplace oral communication situations
- Self-assessment of communication skills
- Giving and receiving feedback

Materials

Verkkomateriaali ja opettajan materiaali, jotka jaetaan ItsLearningin kautta.
Mahdollisesti Kauppinen, A.; Nummi, J. & Savola, T. (2012 tai uud.). Tekniikan viestintä. Kirjoittamisen ja puhumisen käsikirja. Helsinki: Edita.

Teaching methods

kontaktiopetus laboratoriotyyppisesti, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö
Suuri osa tehtävistä on mahdollista tehdä vain osallistumalla kontaktiopetukseen, joten läsnäolo tunneilla on tärkeää.

Exam schedules

Opintojaksolla ei ole tenttiä, vaan arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.

International connections

Opintojaksolla opiskellaan laboratoriomaisesti viestinnän ja vuorovaikutuksen perustaitoja, jotka harjaannuttavat oman alan työtehtävissä tarvittaviin vuorovaikutus- ja viestintätaitoihin. Opiskelija tutustuu ennen kontaktitunteja kontaktitunnin aiheisiin, joihin on annettu materiaaleja ja linkkejä Itslearningissa. Opintojaksolla tehtäviä ryhmäharjoituksia tehdään erikokoisissa ja vaihtuvissa pienryhmissä, joissa asiaosaamisen lisäksi harjoitellaan mm. vuorovaikutustaitoja, keskustelu- ja esiintymistaitoja, yhteiskirjoittamisen taitoja, vertaispalautteen antamista suullisesti ja kirjallisesti. Yksilötehtävissä kehitetään yksilöllisiä viestintävalmiuksia. Opintojaksolla käytetään monipuolisesti digitaalista opiskelumateriaalia ja sähköistä oppimisympäristöä videoiden ja tekstien palauttamiseen sekä materiaalin jakamiseen.

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

Opiskelijan työmäärä koostuu kontaktitunneista (n. 36 t), kotitehtävistä ja itsenäisestä opiskelusta, ennakkotehtävistä, itsenäisestä materiaaliin tutustumisesta ym. (n. 34 t), asiatyylisen tekstin laatimisesta (n. 20 t), puhe-esitykseen valmistautumisesta (n. 20 t) ja kielenhuollon testiin valmistautumisesta (n. 20 t).

Content scheduling

syys–joulukuu 2024
asiantuntija viestijänä, puhe-esityksen valmistautuminen, puhe-esityksiä, asiatyylinen kirjoittaminen ja harjoituksia

Opintojakson tavoitteet, tehtävät ja niiden arviointi, aikataulutus yms. käytännön asiat käydään läpi ensimmäisellä tapaamiskerralla, jolloin opiskelijan on syytä olla paikalla. Ellei opiskelija ole ensimmäisellä kerralla paikalla, on hänen selvitettävä itse opintojakson ensimmäisellä tunnilla käydyt asiat Itslearningin materiaaleista ja Pepistä.

Further information

Participating in the study course is required to have Finnish language skills from the mother tongue level, i.e. C skill level. It is the student's responsibility to check that the prerequisite conditions are met before registering. The teacher has grounds to reject the registration if the prerequisites are not met.

Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa. Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista. Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

Arviointi perustuu osatehtäviin ja jatkuvaan arviointiin.
Arvosana muodostuu seuraavasti:
asiatyylinen teksti 25 %
kielenhuollon testi 25 %
suullinen esitys 25 %
tunti- ja kotitehtävät 25 %

Kuhunkin tehtävään liittyvät arviointikriteerit kerrotaan tarkemmin tehtävänannon yhteydessä. Tehtävien palautusajat ovat ehdottomia, myöhästyneitä tehtäviä ei oteta vastaan.
Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, ellei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, fail (0)

The Finnish language skills of the student participating in the course do not meet the C skill level requirements.

Opiskelija on osallistunut ryhmän työskentelyyn vain vähän tai ei ollenkaan ja/tai ns. tunti-/kotitehtävistä saatu pistemäärä on kokonaisarvioinnissa alle 1 p.

Opiskelija ei ole suorittanut oppimistehtäviä hyväksytysti tai saavuttanut hyväksyttyyn arvosanaan oikeuttavaa pistemäärää oppimistehtävistä..

Opiskelijan ilmoittautuminen opintojaksolle poistetaan viimeistään kuukauden kuluttua, jos hänellä ei ole näyttöä aikomuksesta suorittaa opintojakso.

Assessment criteria, satisfactory (1-2)

Opiskelija pystyy kirjoittamaan asiatyylisen, ohjeiden mukaisen lähdemateriaaliin pohjautuvan raportin. Opiskelija tunnistaa kielenhuollon merkityksen asiatekstissä. Opiskelija pystyy pitämään suullisen esityksen. Hän osallistuu lähitapaamisiin ja keskusteluun osittain.

Assessment criteria, good (3-4)

Opiskelija tietää, mikä on viestinnän merkitys työyhteisössä. Hän pystyy kirjoittamaan ohjeiden mukaisen ja teoriakirjallisuutta hyvin hyödyntävän raportin. Opiskelija osoittaa kielenhuollon tuntemusta. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti. Opiskelija asennoituu viestintään positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun aktiivisesti.

Assessment criteria, excellent (5)

Opiskelija tietää ja ymmärtää, mikä on viestinnän merkitys työyhteisössä ja innostuu pohtimaan viestintää käytännössä esimerkiksi omassa työskentelyssään. Hän pystyy suunnittelemaan ja kirjoittamaan ohjeiden mukaisen ja erinomaisella tavalla teoriakirjallisuutta hyödyntävän raportin. Opiskelija osaa arvioida kielenhuollon osaamistaan ja käyttää tietoperustaa tekstinsä tarkistamisessa. Opiskelija pitää suullisen esityksen ohjeiden mukaisesti ja osaa soveltaa ohjeita ja kokemuksiaan esitykseensä. Opiskelija asennoituu viestintään erittäin positiivisesti sekä osallistuu lähitapaamisten työskentelyyn ja keskusteluun motivoituneena ja tavoitteellisesti.

Qualifications

Participation in the course requires a language proficiency level of C in Finnish.

Objective

The aim of the course is to activate and develop the students’ field-relevant English language and communication skills. The students will gain professional skills in various spoken and written communicative situations encountered in working life and society. In addition, they will learn to utilize tools and techniques to further develop their skills in authentic, field-specific contexts. More specifically, students will focus on developing their language and communication skills in.
Upon completing the course, the students should have acquired skills to communicate at level B2 according to European Framework of Reference for Languages, which states that at B2-level students should be able to produce clear, coherent and well-structured texts, present detailed descriptions related to one’s field of interest, express and exchange opinions using fluent language, follow complex arguments, and read longer articles and reports.

Content

- writing professional, field-specific texts
- presenting and discussing field-specific topics in a professional manner
- reading field-specific texts and utilizing the information in professional contexts
- learning and using key terminology of the field
- becoming professional, autonomous language users in working life

Materials

The course material is available in Its.

International connections

The course topics include sustainability with study on the key vocabulary, and discussion on the main aspects of sustainability.

Student workload

The students will work on contact meeting tasks, self-study tasks and be tested on their skills with spoken and written assignments on the course topics. The meeting tasks and assignments are completed during the contact meetings only. The self-study tasks are homework.

Content scheduling

The course will run from 2 September to 13 December.

The course consists of contact meetings (12x2h = 24h) and individual/group work in Its.

The course topics are professional emailing and reporting, meetings at work, and professional presentation. The topics include aspects of sustainability and/or digitalization, and field-specific vocabulary.

The aim of the course is to activate and develop the students’ field-relevant English language and communication skills. The students gain professional skills in various spoken and written communicative situations encountered in working life and society.

Learning objectives:

Spoken communication

The student
- presents topics in a structured way
- discusses topics using related terminology
- uses functional language e.g. signposting
- participates actively in discussions by commenting, asking, and reacting
- expresses themselves in a spontaneous way
- expresses themselves in a clear and logical way
- expresses themselves in their own words

Written communication

The student
- follows the structure and language of professional email and reporting
- recognizes and applies the appropriate style for the situation e.g. in terms of the vocabulary
- expresses themselves in a clear and logical way
- writes in their own words using sources correctly

Further information

The channel of communication during the course is Its.

Note that no general attendance is required but the assignments and meeting tasks are completed in contact meetings only (see evaluation).

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on

1) four assignments

- email message, mini-report, meeting and presentation
- the evaluation scale for the assignments is 1-5
- specific evaluation criteria is given in connection with the instructions
- the average of individual assignment evaluations forms the final evaluation
- the assignments are completed in contact meetings only

2) meeting tasks and self-study tasks

- 8 tasks
- the evaluation scale is passed/failed
- if you return less than 6 tasks, the final evaluation will drop by one grade
- the meeting tasks are completed in contact meetings only

Points to be noted:

- For full final evaluation complete ALL course work within the given deadlines.
- Note that course work cannot be done again or replaced by other work, or an exam.
- With problems of completing course work, contact the teacher BEFORE the deadlines.
- Assignments are not accepted after 15 December 2024.

Objective

The aim of the course is to activate and develop the students’ field-relevant English language and communication skills. The students will gain professional skills in various spoken and written communicative situations encountered in working life and society. In addition, they will learn to utilize tools and techniques to further develop their skills in authentic, field-specific contexts. More specifically, students will focus on developing their language and communication skills in.
Upon completing the course, the students should have acquired skills to communicate at level B2 according to European Framework of Reference for Languages, which states that at B2-level students should be able to produce clear, coherent and well-structured texts, present detailed descriptions related to one’s field of interest, express and exchange opinions using fluent language, follow complex arguments, and read longer articles and reports.

Content

- writing professional, field-specific texts
- presenting and discussing field-specific topics in a professional manner
- reading field-specific texts and utilizing the information in professional contexts
- learning and using key terminology of the field
- becoming professional, autonomous language users in working life

Materials

The course material is available in Its.

International connections

The course topics include sustainability with study on the key vocabulary, and discussion on the main aspects of sustainability.

Student workload

The students will work on contact meeting tasks, self-study tasks and be tested on their skills with spoken and written assignments on the course topics. The meeting tasks and assignments are completed during the contact meetings only. The self-study tasks are homework.

Content scheduling

The course will run from 2 September to 13 December.

The course consists of contact meetings (12x2h = 24h) and individual/group work in Its.

The course topics are professional emailing and reporting, meetings at work, and professional presentation. The topics include aspects of sustainability and/or digitalization, and field-specific vocabulary.

The aim of the course is to activate and develop the students’ field-relevant English language and communication skills. The students gain professional skills in various spoken and written communicative situations encountered in working life and society.

Learning objectives:

Spoken communication

The student
- presents topics in a structured way
- discusses topics using related terminology
- uses functional language e.g. signposting
- participates actively in discussions by commenting, asking, and reacting
- expresses themselves in a spontaneous way
- expresses themselves in a clear and logical way
- expresses themselves in their own words

Written communication

The student
- follows the structure and language of professional email and reporting
- recognizes and applies the appropriate style for the situation e.g. in terms of the vocabulary
- expresses themselves in a clear and logical way
- writes in their own words using sources correctly

Further information

The channel of communication during the course is Its.

Note that no general attendance is required but the assignments and meeting tasks are completed in contact meetings only (see evaluation).

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on

1) four assignments

- email message, mini-report, meeting and presentation
- the evaluation scale for the assignments is 1-5
- specific evaluation criteria is given in connection with the instructions
- the average of individual assignment evaluations forms the final evaluation
- the assignments are completed in contact meetings only

2) meeting tasks and self-study tasks

- 8 tasks
- the evaluation scale is passed/failed
- if you return less than 6 tasks, the final evaluation will drop by one grade
- the meeting tasks are completed in contact meetings only

Points to be noted:

- For full final evaluation complete ALL course work within the given deadlines.
- Note that course work cannot be done again or replaced by other work, or an exam.
- With problems of completing course work, contact the teacher BEFORE the deadlines.
- Assignments are not accepted after 15 December 2024.

Objective

After completing the course, the student can:

Describe what Cloud Services are, how they affect business and which new opportunities it may enable.
Describe use cases and benefits of cloud services,
Describe SAAS, PAAS, IAAS.
Use some cloud services platforms.
Develops a solution that utilizes cloud services.

Content

Introduction to cloud services
Software as a service (SAAS)
Platform as a service (PAAS)
Infrastructure as a service (IAAS)
Virtual machines and containers
Security of cloud services
Project work

Materials

Task-specific material to be announced separately in Its Learning and in AWS academy.

Teaching methods

- Weekly face-to-face meetings with lecture teaching and small group work
- Learning by doing and experimenting (exercise tasks, project work, information search)
- Small group work and peer learning
- Self-study material
- Teacher guidance and examples

Exam schedules

No exam, and retake not possible after evaluation grade is published.

International connections

FLIP classrooms and learning by doing

Completion alternatives

Not possible

Student workload

Contact hours
- Course introduction: 3 hours
- 12 times 3h theory and AWS support: 12 x 3h = 36 hours
- 16 times AWS Academy self paced sessions: 16 x 1h = 16 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 135 hours

Content scheduling

The course content is divided into four learning objectives(CLOs):

CLO1 Analyze classic data centers and cloud data center solutions.

Introduction to Cloud Computing
1.1 Understand the limitations of traditional computing and evolution of cloud computing
1.2 Understand the concepts of Cluster, Grid and Cloud Computing, its benefits and challenges

Cloud Computing Models and Services
1.3 Explore the standard cloud model, cloud deployment and service delivery models
1.4 Understand service abstraction

Resource Virtualization and Pooling
1.5 Implement physical computing resources virtualization
1.6 Implement machine, server level and operating system virtualization
1.7 Understand resource pooling, sharing and resource provisioning

CLO2 Design a cloud data center based on specific technical requirements.

Resource Virtualization and Pooling
2.1 Implement physical computing resources virtualization
2.2 Implement machine, server level and operating system virtualization

Scaling and Capacity Planning
2.3 Understand the foundation of cloud scaling
2.4 Explore scaling strategies and implement scalable applications
2.5 Explore approaches for capacity planning

Load Balancing
2.6 Explore the goals and categories of load balancing. Explore parameters for consideration.

File System and Storage
2.7 Understand the need for high performance processing and Big Data
2.8 Explore storage deployment models and differentiate various storage types

CLO3 Discuss the need for security, reliability and legal compliance of a cloud data center.
Database Technologies
3.1 Explore database models
3.2 Implement relational and non-relational database as a service

Cloud Computing Security
3.3 Understand the threats to cloud security
3.5 Explore and develop a cloud security model
3.6 Understand Trusted Cloud Computing

Privacy and Compliance
3.7 Explore key privacy concerns in the cloud
3.8 Differentiate security vs. privacy
3.9 Develop a privacy policy

CLO4 Design strategies for the implementation of effective cloud solutions to support business requirements.

Content Delivery Model
4.1 Understand and explore content delivery network models in the cloud

Portability and Interoperability
4.2 Explore portability and interoperability scenarios
4.3 Understand machine imaging
4.4 Differentiate virtual machine and virtual appliance

Cloud Management
4.5 Understand cloud service life cycle
4.6 Understand asset management in the cloud
4.7 Explore cloud service management
4.8 Develop disaster recovery strategies

SELF PACED / FLIP CLASSROOM
In addition to the above theoretical content the students will learn and practice the cloud concepts in AWS academy. The AWS academy online course covers the following modules.

Module 1 - Global Infrastructure
Module 2 - Structures of the Cloud
Module 3 - AWS Console
Module 4 - Virtual Servers
Module 5 - Content Delivery
Module 6 - Virtual Storage
Module 7 - Security 1
Module 8 - Security 2
Module 9 - Monitoring the Cloud
Module 10: Databases
Module 11 - Load Balancers and Caching
Module 12 - Elastic Beanstalk and Cloud Formation
Module 13 - Emerging Technologies in the Cloud
Module 14 - Billing and Support
Module 15 - Other Cloud Features
Module 16 - Optimizing the Cloud with the AWS CDK

Further information

Course material and assignments in Its Learning and AWS academy.

Evaluation scale

H-5

Assessment methods and criteria

Personal assignments: 50 points
AWS Academy Course labs: 30 points
Project: 20 points

The assignments must be returned by the deadline to get the points. The assignments returned after the deadline will give you only half of the points.

Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.

The grading scale (points -> grade):

50 points -> 1
60 points -> 2
70 points -> 3
80 points -> 4
90 points -> 5

Assessment criteria, fail (0)

Fail < 50 points

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5