Study Guide

Objective

After completing the module, the student is able:
- to understand the technical asset pipeline for 2D game graphics
- to create 2D content for video games and other digital media
- to use various software for content creation
- to understand the roles and tasks for 2D graphics in the game industry

Content

- 2D tools
- 2D asset creation
- 2D animation tools and techniques
- UI graphics and tools
- Modern approaches for 2D content creation for game engines

Materials

Lecturer's material and live sessions. Software manufacturer specific online references and materials
Additional material and reading material shared through Itslearning for each week's theme.
We will be using Adobe Photoshop and Illustrator. You can utilize the lab classroom each day from 4:00 pm until 8:00 pm or you can buy student licence from Adobe. Read more about the Adobe TUAS Student licence in Messi intranet.

Teaching methods

The course will be delivered through close contact sessions and the core learning will take place in a tutorial fashion with laboratory assignments and homework.

Although peer-assisted learning is encouraged, students are expected to produce individual deliverable (in other words, no group work).

The students are expected to give peer feedback on specified laboratory assignments and homework.

The course will be using Itslearning as the learning platform

Exam schedules

No exam dates;
This course does not have any retake possibilities. Failing the course means that students will have to repeat it the following year.

International connections

This course leans on CDIO principles and takes a project-based learning approach.

Completion alternatives

Competence demonstration, if you have experience from industry or experience that is compatible with the course content. Discuss with the instructor when the course starts for demonstration

Student workload

This course requires students to work 135 hours and is divided as follows:
- Contact sessions and Instructed laboratory work 48 hours
- Individual work with assignments and material review 86 hours
All the course work is individual

Content scheduling

Course starts on 2.9.2024 and ends 24.10.2024. The course is held onsite at campus with close contact. Mandatory participation for 70% of the close contact and laboratory sessions.

Each week Monday and Thursday will be contact session at laboratory C3031. The laboratory assignments and home works is related to the topic of the week.
The Schedule:
Week 36 Course Introduction, 2D Graphics in Games, intro to Adobe Photoshop
Week 37 Tools For 2D Graphics: Photoshop continues
Week 38 Tools For 2D Graphics: Vector graphics Adobe Photoshop&Illustrator
Week 39 Tools For 2D Graphics: Illustrator continues
Week 40 Unity 2D: tools & techniques
Week 41 Unity 2D: tools & techniques
Week 42 WORK ON YOUR OWN - 2D Game Art
Week 43 Unity 2D: tools & techniques


Assignments changes every week and assignments needs to returned before next weeks live session. No feedback available for late submission. Last assignment must be returned before 31.10.2024

Further information

Mandatory participation for 70% of the close contact and laboratory sessions.
Participation is mandatory due: laboratory oriented approach, software licence requirements, peer assisted learning, immediate support and feedback, engagement and motivation, consistency and discipline.

Evaluation scale

H-5

Assessment methods and criteria

The assessment will be based on the individual assignments submitted in the Itslearning workspace. Mandatory participation for 70% of the close contact and laboratory sessions.

The lecturer evaluates each assignments from 0-5. To pass the course, students are expected to submit at least 70 % of the assignments. Final grade will be average of assignment grades multiplied by return percent (non-returned assignments are counted as 0) and participation percentage. Active participation to the course, discussion and assignments will affect positively.

The students are expected to give peer feedback on specified laboratory assignments and homework. Failing to participate to the peer feedback will result -1 grade to the final evaluation.
Late submission will affect negatively to the evaluation. Last assignment must be returned before 30.10.2024

Assessment criteria, fail (0)

Participation for the close contact and laboratory sessions is less than 70%.
Student submits less than 70% of the assignments.

Assessment criteria, satisfactory (1-2)

Participation for the close contact and laboratory sessions is more than 70%.
The average is of the submitted assignments and the submission percentage equals 1-2
The quality of the submitted assignments are poor and it is visible that the student has not spent the required time with the assignment.

Assessment criteria, good (3-4)

Participation for the close contact and laboratory sessions is more than 80%.
The average is of the submitted assignments and the submission percentage equals 3-4
The quality of the submitted assignments are good and it is visible that the student has spent the required time with the assignment but the student has not challenged his/her skills or the assignment lacks the final effort to improve it.

Assessment criteria, excellent (5)

Participation for the close contact and laboratory sessions is more than 90%.
The average is of the submitted assignments and the submission percentage equals 5
The quality of the submitted assignments are excellent and it is visible that the student has spent the required time or more with the assignment. The student has challenged his/her skills and researched more about the topic to improve the end result and his/her skills.

Objective

After completing the module, the student is able:
- to understand the technical asset pipeline for 3D game graphics
- to create 3D content for video games other digital media
- to use various software for content creation
- to understand the roles and tasks for 3D graphics in the game industry

Content

- 3D modelling and animation for game engines
- 3D asset creation
- Character modelling
- Modular design
- Lighting and texturing techniques and tools in game engines
- Modern approaches for 3D content creation for game engines

Materials

Lecturer's material and live sessions. Software manufacturer specific online references and materials
Group chat on Discord. Additional material and reading material shared through Itslearning for each week's theme.

Teaching methods

The course will be delivered through contact sessions and the core learning will take place in a tutorial fashion with laboratory assignments and homework.

Although peer-assisted learning is encouraged, students are expected to produce individual deliverables (in other words, no group work).

The students are expected to give peer feedback on specified laboratory assignments and homework.

The course will be using Itslearning as the learning platform.

Exam schedules

There are no exams for this course.

This course does not have any retake possibilities. Failing the course means that students will have to repeat it the following year.

International connections

This course leans on CDIO principles and takes a project-based learning approach.

Completion alternatives

Competence demonstration, if you have experience from industry or experience that is compatible with the course content contact the lecturer.

Student workload

This course requires students to work 135 hours and is divided as follows:
- Contact sessions and instructed laboratory work 49 hours
- Individual homework 86 hours
All the course work is individual.
Mandatory participation for 70% of the sessions.

Content scheduling

Course starts on 28.10.2024 and ends 12.12.2024. The course will be held onsite at game laboratory. Tasks and guidance are given at the laboratory classroom. Mandatory participation for 70% of the sessions.

Each Monday and Thursday contact session in the laboratory C3031. The laboratory assignments and homework are related to the topic of the week.

Week 44 Course Introduction, 3D Graphics in Games, Game engines & tools, content creation inside game engine.
Week 45 Unity: Render pipelines, asset preparation, shader & VFX graph
Week 46 Unity: Lighting in Unity, post process etc
Week 47 Substance Sampler, Authoring PBR materials & Substance in Game Engines
Week 48 Substance Painter & game asset pipeline
Week 49 Substance Painter & game asset pipeline
Week 50 Substance Designer
Week 51 Personal work on assignments.

Assignment changes each week and assignment needs to be returned before next week’s live session. Late submission will affect negatively to the evaluation. Last assignment must be returned before 19.12.2023.

Further information

All communication trough Itslearning.
This course is prioritized for Game and Interactive Technology Students. Additional students can join only if there are available seats in the game lab.
Recommended Prerequisites:
Game Development Essentials
Introduction to Game Development Tools
Project Course in Game Development
Strong recommendation for basics of 3D Modeling

Mandatory participation for 70% of the sessions.
Participation is mandatory due: laboratory oriented approach, software licence requirements, peer assisted learning, immediate support and feedback, engagement and motivation, consistency and discipline.

Evaluation scale

H-5

Assessment methods and criteria

The assessment will be based on the individual assignments submitted in the Itslearning workspace.
The lecturer evaluates each assignments from 0-5. To pass the course, students are expected to submit at least 70 % of the assignments. Final grade will be average of assignment grades multiplied by return percent (non-returned assignments are counted as 0). Active participation to the course, discussion and assignments will affect positively.

The students are expected to give peer feedback on specified laboratory assignments and homework. Failing to participate to the peer feedback will result -1 grade to the final evaluation.

Assignment changes each week and assignment needs to returned before next weeks live session.No feedback for late assignment submissions. Last assignment must be returned before 19.12.2024

Assessment criteria, fail (0)

Student submits less than 70% of the assignments and participation is less than 70% to the sessions.

Assessment criteria, satisfactory (1-2)

The student hast participated at least 70% to the sessions.
The average is of the submitted assignments and the submission percentage equals 1-2.
The quality of the submitted assignments are poor and it is visible that the student has not spent the required time with the assignment.

Assessment criteria, good (3-4)

The student hast participated at least 80% to the sessions.
The average is of the submitted assignments and the submission percentage equals 3-4.
The quality of the submitted assignments are good and it is visible that the student has spent the required time with the assignment but the student has not challenged his/her skills or the assignment lacks the final effort to improve it.

Assessment criteria, excellent (5)

The student hast participated at least 90% to the sessions.
The average is of the submitted assignments and the submission percentage equals 5.
The quality of the submitted assignments are excellent and it is visible that the student has spent the required time or more with the assignment. The student has challenged his/her skills and researched more about the topic to improve the end result.

Objective

After completing this course the student is able
- to create 3D models and understand 3D modeling workflow
- to craft textures and materials for the models
- to animate objects and characters

Content

- Fundamentals of 3D modeling techniques
- Introduction to texturing, materials and lighting for 3D content creation
- Basics in animating techniques

Materials

Contact sessions 3h per week. Group chat on Discord for those who are interested. Course material and information shared through itslearning.

Teaching methods

Weekly contact sessions and weekly assignments.

Exam schedules

There are no exams on this coure.

Completion alternatives

Competence demonstration, if you have experience from industry and/or experience that is compatible with the course content

Student workload

One contact session 3h. One prelab and one weekly assignment per week. Prelab is starter for the weekly assignment and it need to be done before contact session.

Estimated work time is 9 hours every week (3 hours in contact session and 6 hours independent work), 126 hours total.

Content scheduling

Content is separated in three main categories: Modeling, Materials and Animation. All work is done with Blender.

Course starts at week 3 and last contact session is at week 17 Totally 14 times. Assignments changes every week and assignments need to be returned before next weeks contact session.

Lesson 1: Blender GUI and primitives
Lesson 2: Modeling - "box modeling"
Lesson 3: Modeling - from scratch "polygon modeling"
Lesson 4: Modeling - Boolean modeling
Lesson 5: Modeling - retopology
Lesson 6: Modeling - Sculpting
Lesson 7: Modeling - Own modeling work
Lesson 8: Materials - Materials and Lightning (Cycles)
Lesson 9: Materials - UV map and textures
Lesson 10: Materials - Texture baking
Lesson 11: Animation - Animation tools
Lesson 12: Animation - Animation with bone parenting
Lesson 13: Animation - Character rigging
Lesson 14: Animation - Walk cycle

Further information

Course material and information shared through itslearning.

Evaluation scale

H-5

Assessment methods and criteria

Assessment will be based on the individual assignments submitted in the itslearning course platform.

Teacher evaluates the assignments. To pass the course, students are expected to turn in at least 75 % of the assignments. Final grade will be average of assignment grades multiplied by return percent (non-returned assignments are counted as 0).

Assessment criteria, fail (0)

Student submits less than 75% of the assignments

Assessment criteria, satisfactory (1-2)

The average is of the submitted assignments and the submission percentage equals 1-2
The quality of the submitted assignments are poor and it is visible that the student has not spent the required time with the assignment

Assessment criteria, good (3-4)

The average is of the submitted assignments and the submission percentage equals 3-4
The quality of the submitted assignments are good and it is visible that the student has spent the required time with the assignment but the student has not challenged his/her skills or the assignment lacks the final effort to improve it.

Assessment criteria, excellent (5)

The average is of the submitted assignments and the submission percentage equals 5
The quality of the submitted assignments are excellent and it is visible that the student has spent the required time or more with the assignment. The student has challenged his/her skills and researched more about the topic to improve the end result

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

Text books: Course is based on:

"Spring Boot in Action" by Craig Walls:
This book provides a comprehensive guide to building web applications, including RESTful web services, using Spring Boot. It covers the fundamentals of Spring Boot and how to create RESTful APIs with it.

"Spring Microservices in Action" by John Carnell:
While this book focuses on microservices architecture, it extensively covers creating RESTful APIs with Spring Boot as a fundamental part of building microservices. It's a great choice if you're interested in microservices-based RESTful services.

"Mastering Spring Boot 2.0" by Dinesh Rajput:
This book covers advanced topics related to Spring Boot, including RESTful web services. It's suitable for those who have a basic understanding of Spring Boot and want to dive deeper into building RESTful APIs.

"Spring REST" by Balaji Varanasi and Sudha Belida:
This book, mentioned earlier in the context of RESTful web services in general, is also a good resource if you're specifically interested in using Spring for building RESTful APIs.

"Building RESTful Web Services with Spring 5" by Ludovic Dewailly and Alexandre Chapellon:
This book focuses on Spring 5 and covers building RESTful web services using the latest features of the Spring framework, making it a valuable resource for staying up-to-date with Spring technology.

"Spring Boot 2.0 Cookbook" by Alex Antonov:
This book provides practical recipes for building various types of applications with Spring Boot, including RESTful web services. It's a hands-on guide with real-world examples.

More course material and assignments implementation instructions will be provided during learning period.

Teaching methods

- Weekly face-to-face meetings with lectures and small group work
- Learning by doing and experimenting (Implementation assignments, project work)
- Small group work and peer learning
- Self-study material and FLIP classroom

Exam schedules

No exam

International connections

Learning by doing and FLIP classrooms

Completion alternatives

Ask the teacher about possible alternative methods of completion

Student workload

Contact hours
- Course introduction: 3 hours
- 13 times 3h theory and practice: 13 x 3h = 39 hours
- FLIP classroom 7 X 2h = 14

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 Develop applications interacting with cloud-based/regular SQL databases using the latest ORM frameworks:
Database Connectivity using JDBC
1.1 Create a database connection
1.2 Create Statement Objects
1.3 Perform SQL Commands
1.4 Manipulate databases

Database Connectivity using Spring Boot Data JPA
1.5 Implement Database connectivity using Spring Boot Data JPA
1.6 Manipulate persistent data using Spring Boot Data JPA

NoSQL Database Connectivity using ORM
1.7 Compare JSON with XML
1.8 Implement a NoSQL Database connectivity using Spring Boot Data JPA

CLO2 Apply services architecture to implement REST based web services and micro services:
Web services and SOA (Service Oriented Architecture) (optional)
2.1 Explain SOA advantages and Principles
2.2 Explain the limitations of software capabilities
2.3 Implement SOAP Web services

Backend web development RESTful web services
2.4 Introduce the Representational State Transfer (REST)
2.5 Use HTTP Methods for CRUD operations
2.6 Analyze HTTP Status Codes

RESTful web services
2.7 Configure Spring Boot Application
2.8 Create RESTful web services using Spring Boot Framework
2.9 Connect RESTful web services using Spring Boot Framework with a database
2.10 Implement entities, JPA Repository, and controllers
2.11 Build a Restful API
2.12 Test Restful API

CLO3 Analyze responsive web apps using latest UI frameworks to interact with web services:
Angular as Front-End framework
3.1 Introduce Angular Components
3.2 Implement Angular Services
3.3 Analyze an application that consumes the REST API Web service

CLO4 Deploy micro services using Dockers:
Service Virtualization Tools
4.1 Explain Service Virtualization
4.2 Introduce Docker
4.3 Create Docker Container
4.4 Deploy Application in Docker



We will use the following languages, protocols and tools:
Eclipse
MySQL
NodeJS
Spring boot
JPA
JSON
XML
REST
Angular (HTML, CSS, TS)
Docker

Further information

Course material and assignments during learning period.

Evaluation scale

H-5

Assessment methods and criteria

Assignments:
Individual assignments: 80 points
The group project work: 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.

Assessment criteria, fail (0)

0-49 (0)

Assessment criteria, satisfactory (1-2)

50-59 (1)
60-69 (2)

Assessment criteria, good (3-4)

70-79 (3)
80-89 (4)

Assessment criteria, excellent (5)

90-100 (5)

Objective

After completing the course, the student will be able to:
- Understand agile utilization of interactive technologies, known from the entertainment industry, in different field of operation
- Understand the values of an attractive user interface design and positive user experience when using interactive technologies – such as virtual reality headsets, augmented reality devices and similar
- Critically evaluate and correct UX designs to suit the needs of target users
- Integrate sound UX principals into the application development for various interactive technologies
- Make use of the latest standards and tools for evaluating interactive technology UIs
- Develop appealing user interfaces (UI) for specific interactive technology applications
- Apply subjective analysis techniques for immersive sound validation

Content

- User interface design standards from latest academic literature
- User experience design standards from latest academic literature
- Principles of user-centred design and quick prototyping by using interactive UX solutions with certain novelty value for new applications
- UI development tools and evaluation metrics
- UX measurement approaches and methods
- Room acoustics, sound source identification and hearing

Materials

Unity Create with VR online material and material by TUAS. All necessary documentation and other material toward the successful completion of the Advanced UX and UI course will be shared with students throughout the course via Itslearning

Teaching methods

The course will be delivered through practical Game Lab work. Peer-assisted learning is required throughout the course.

The course material, assignments and direct instructions will be shared through Itslearning. Students will be granted access to the Teams page based on an active course registration in the Peppi system.

Mandatory participation for 70% of the close contact and laboratory sessions due to practical nature of the course and the need of XR-equipment and support.

Exam schedules

There are no exams for this course.

This course does not have any retake possibilities. Failing the course means that students will have to repeat it the following year.

International connections

This course leans on CDIO principles and takes a project-based learning approach.

Completion alternatives

Competence demonstration, if you have experience from industry or experience that is compatible with the course content contact the lecturer.

Student workload

This course requires students to work 135 hours and is divided as follows:
-Instructed sessions 36h
-Partly supervised laboratory work: 48 h
-Homework: 61 h
Course has individual work and 1 group assignments.

Group assignment:

- Instructor will introduce the topic, present the learning material and define the assignment deliverable;
- Student groups will be required to conduct independent preliminary research on the assignment topic;
- Student groups must familiarize themselves with the assignment technology.
- Student groups must conduct the work to complete the assignment deliverable.
- Assignment submissions will be demo presentation for 15 minute of the group’s assignment deliverable.

Content scheduling

1st Session
Course, Technology and assignment introductions.
Individual assignments
2nd Session
Students starts working with Unity Create With VR Material
5th Session
Student groups are formed and they start working with Mixed Reality Workshop
7h or 8th Session
Student groups starts working with XR-Project and complete assignment’s instructions
12th Session
Student groups present their XR-projects and course ends.

Further information

The practical elements of the course will be supported with the assistance of FIT-research group engineer who will also act as industry expert for evaluating group performance in the assignments.

The course material, assignments and direct instructions will be shared through Itslearning. Students will be granted access to the Itslearning based on an active course registration in the Peppi system.

Passing this course is a prerequisite for continuing with Serious Game Project Course and 4th-year studies – no exceptions will be made.

Evaluation scale

H-5

Assessment methods and criteria

Mandatory participation for 70% of the close contact and laboratory sessions.
The course consists of 1 group assignments.
- Group Assignment : Create an XR-project based on the instructions

The class will be divided into groups of 4-5 students each. - Each group will complete the assignment.

Student groups must submit all individual assignments and 1 group assignment to be eligible to pass the course - failure to submit an assignment will cause the entire group to fail the course. The group work will be assessed as peer evaluation.

The course is evaluated as follows:
- Individual assignment: Lecturer overall impression of assignment (H-5).
GROUP grade:
- Industry expert evaluation of each assignment (H-5);
- Lecturer overall impression of each assignment (H-5).
- Peer evaluation after each assignment (H-5).
The average of these gives a group grade for each student.

INDIVIDUAL student per group grade
Each student will also be measured on their contribution for the entire course. That is, at the end of the course each student in every group will be given the opportunity to conduct a self- and peer-evaluation of their individual team member performance and contribution for all 3 assignments. From this evaluation, each student will have a:
- Self assessment of the contribution made;
- Group member evaluation of the contribution made;
The average of these gives an individual grade for each student.

The final course grade for each student is calculated by:
(GROUP grade x 0,5) + (INDIVIDUAL grade x 0,5)

Based on peer feedback and course presenter observations, the lecturers may use their discretion to fail or lower the grade of individual students.

Passing this course is a prerequisite for continuing with Serious Game Project Course and 4th-year studies – no exceptions will be made.

Assessment criteria, fail (0)

Failure to submit individual assignment or the group assignment will cause the entire group to fail the course.
Individual non-participation as determined by the peer-evaluation will also lead to failing the course.
Failure to participate for 70% of the close contact and laboratory sessions.

Assessment criteria, satisfactory (1-2)

- Deliverable contains a few of the features outlined in the assignment
- Did not adequately apply preliminary research to complete the assignment
- Deliverable is incoherent or does not work

Assessment criteria, good (3-4)

- Deliverable contains most of the features outlined in the assignment
- Adequately applied preliminary research to complete the assignment, but lacking creativity
- Deliverable is coherent and functions as required by the assignment

Assessment criteria, excellent (5)

- Deliverable contains all the features outlined in the assignment
- Creatively applied preliminary research to complete the assignment
- Deliverable is coherent and exceeds the assignment requirements

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 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 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

Python Crash Course
3rd Edition
A Hands-On, Project-Based Introduction to Programming
Eric Matthes
January 10, 2023
ISBN-10 : 1718502702
ISBN-13 : 978-1718502703

The reading are will be concentrated mostly on chapters 9 and 18 - 20.

Please note that there is a limited number of the book's 3rd
editions available in eBook Central for you to read.

Teaching methods

Learning by doing and FLIP classroom.

Exam schedules

No exam, no retake possible after the grade is published.

International connections

The course will be arranged mostly onsite at/near the ICT building.

There will be an itsLearning environment for the course. Teams will be used during online lessons if there will be any.

Completion alternatives

Only by completing class assignments and team work.

Student workload

Theory lessons 13 X 2h = 26h
Demonstrations 13 X 1h = 13h group 1
Demonstrations 13 X 1h = 13h group 2

Flip classroom 7 X 2h = 14h

Homework 80h

Total approximately 135h

Content scheduling

Contents:

During the course a web site will be created by using Python language and Django web application programming framework. Professional tools like Git will be used. The site will follow a version of the MVC architectural pattern.

The students will elaborate more deeply in creating a web site during the group project work.

Contact lessons: Theory, programming together, demos and supporting working in teams. Theory and programming lessons are arranged mostly before the mid semester break, after that the lessons concentrate more on supporting team work.

Personal assignments:
7 assignments
A group project work

Further information

Available in itslearning.

Evaluation scale

H-5

Assessment methods and criteria

Personal assignments:

7 personal assignments: 70 points
The group project work: 30 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 student must get at least 30 points from the assignments and 10 points from the group work to pass the course.

The grading scale (points -> grade):

40 points -> 1
55 points -> 2
70 points -> 3
80 points -> 4
90 points -> 5

Assessment criteria, fail (0)

below 40

Assessment criteria, satisfactory (1-2)

40 points -> 1
55 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:
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

The aim of this course is to activate and develop the students’ writing for academic purposes, namely, thesis-writing. The students will also learn about and practise using and citing sources. Additional course objectives are to demonstrate understanding of and apply effective paragraph structure, employ academic and professional language, evaluate sources for relevance and reliability.

Content

Writing academic texts:
• the process of writing
• principles of academic writing
• sentence structure, sentence clarity and sentence problems
• paragraph structure paragraph unity, paragraph coherence
• essay structure and maturity test
• evaluating sources
• avoiding plagiarism
• using and citing sources
• abstract-writing and evaluation

Materials

teacher’s own and web-based material

Teaching methods

teacher-directed classroom activities, independent work, pair work, group work, project work activities (quizzes, meetings)

Exam schedules

No exam. There is continuous assessment.

International connections

The contents and the assessed outputs of the course are designed to provide the students with English language written communication skills they need in writing their thesis as well as spoken communications skills they will need to present their thesis. . In addition, the students have to complete tasks individually, in pairs and as a group which enhances their communication and interpersonal skills. The assessment is continuous and teacher and peer assessments are provided after the completion of each task.
The course deals with the theme of sustainable development in discussing, reading articles and writing about general concepts ( e.g. green IT, energy efficiency), technologies & strategies (such as cloud computing, virtualization); social & ethical issues ( e.g. data privacy, digital divide, inclusive access)

Completion alternatives

A: The student can complete the Basic Academic Writing (5ECTS) and complete Accreditation of Prior Learning based on Competence (not a transfer of credits):
Within two weeks of the course start, the student submits a written report showcasing competence in academic writing and demonstrating the skills this course aims to achieve. If the submission fulfills the assessment criteria (i.e.: no plagiarism, no AI generated content, demonstration of well-composed paragraphs, use of references, appropriate register etc.-see evaluation criteria below), the student can attain the credits. If the submission does not meet the criteria, the student joins the course.
B: The student can complete the Basic Academic Writing (5 ECTS) and complete Transfer of Credits within the first two weeks of the course if the student has completed a course with the same credits and similar content at a same level (higher education) educational institution within the last 5 years. The student will also need to provide an official transcript and course content description.

Student workload

classroom activities: 24 h
individual work: 76 h
pairwork work: 25 h

Content scheduling

September- November 2024
Theme 1: Reading Skills, Writing Process & Academic Writing
Theme 2: Reading Strategies & Sentence structure
Theme 3: Note-taking & Paragraph structure
Theme 4: Summarizing & Essay Structure
Theme 5: Citing & Referencing, Evaluating sources
Theme 6: Text polishing and editing

Further information

Course Requirement: The students need to have completed the English Professional course.

We will be using Itslearning for this course.

Compulsory physical attendance

Evaluation scale

H-5

Assessment methods and criteria

The students need to physically attend and complete all the tasks/assignments within the deadlines in order to pass the course because this improves the student's ability to track their own learning, receive continuous feedback, and provide ongoing evidence of their skill development throughout the course.
The students need to follow the writing process:
1. select a topic of interest - to be approved by the teacher
2. collect sources of info
3. write a proposal for essay thesis statement and essay outline - to be approved and commented on by the teacher
4. the teacher provides an essay question based on the the previous steps and the the students write the essay in class using pen and paper
5. The teacher provides comments on the "pen and paper" the essay
6. The student revises the essay using Draft Coach and addressing the teacher feedback

Assessment criteria, fail (0)

The student has insufficient attendance (has been absent in 3 classes) and/or has not submitted writing tasks within the given deadlines). Insufficient attendance and intermittent return of assignments will result in immediate failure of the course.
The student has completed tasks but they are not of an acceptable standard.
The student keeps changing the topic of the essay and therefore cannot provide evidence of their writing process.
The student has committed plagiarism. The student has submitted work with a high percentage (20% +) of similarity to other sources.
The student has used AI-generated content.
The student has provided references that when checked they do not match the title listed in the references ( fake references).
The student is not able to properly cite sources in the text.

Assessment criteria, satisfactory (1-2)

The student can describe and identify features of academic writing, elements of paragraph and essay structure, unity and coherence, and is aware of ways to avoid plagiarism.
The text contains several grammatical and use of language mistakes and several instances of informal writing.

Assessment criteria, good (3-4)

The student can produce text that contains some features of academic writing, has some elements of paragraph and essay structure. The student can produce text that displays a degree of unity and coherence. The student can reference sources and compile a reference list although there are inconsistencies in the format and style.
The text contains some grammatical and use of language mistakes and some instances of informal writing.

Assessment criteria, excellent (5)

The student can produce text that contains most features of academic writing, has well-developed elements of paragraph and essay structure. The student can produce text that displays unity and coherence consistently throughout the essay. The student can reference sources and compile a reference list in a consistent format and style.
The text contains few grammatical and use of language mistakes and few instances of informal writing.

Qualifications

English Professional Skills, B2 or level B2 according to European Framework of Reference for Languages

Objective

The aim of this course is to activate and develop the students’ writing for academic purposes, namely, thesis-writing. The students will also learn about and practise using and citing sources. Additional course objectives are to demonstrate understanding of and apply effective paragraph structure, employ academic and professional language, evaluate sources for relevance and reliability.

Content

Writing academic texts:
• the process of writing
• principles of academic writing
• sentence structure, sentence clarity and sentence problems
• paragraph structure paragraph unity, paragraph coherence
• essay structure and maturity test
• evaluating sources
• avoiding plagiarism
• using and citing sources
• abstract-writing and evaluation

Materials

teacher’s own and web-based material

Teaching methods

teacher-directed classroom activities, independent work, pair work, group work, project work activities (quizzes, meetings)

Exam schedules

No exam. There is continuous assessment.

International connections

The contents and the assessed outputs of the course are designed to provide the students with English language written communication skills they need in writing their thesis as well as spoken communications skills they will need to present their thesis. . In addition, the students have to complete tasks individually, in pairs and as a group which enhances their communication and interpersonal skills. The assessment is continuous and teacher and peer assessments are provided after the completion of each task.
The course deals with the theme of sustainable development in discussing, reading articles and writing about general concepts ( e.g. green IT, energy efficiency), technologies & strategies (such as cloud computing, virtualization); social & ethical issues ( e.g. data privacy, digital divide, inclusive access)

Completion alternatives

A:The student can complete the Basic Academic Writing (3 ECTS) and complete Accreditation of Prior Learning based on Competence (not a transfer of credits):
Within two weeks of the course start, the student submits a written report showcasing competence in academic writing and demonstrating the skills this course aims to achieve. If the submission fulfills the assessment criteria ((i.e: no plagiarism, no AI generated content, demonstration of well-composed paragraphs, use of references, appropriate register etc.-see evaluation criteria below)see evaluation criteria below), the student can attain the credits. If the submission does not meet the criteria, the student joins the course.
B: The student can complete the Basic Academic Writing (3 ECTS) and complete Transfer of Credits within the first two weeks of the course if the student has completed a course with the same credits and similar content at a same level (higher education) educational institution within the last 5 years. The student will also need to provide an official transcript and course content description

Student workload

classroom activities: 24 h
individual work: 51 h

Content scheduling

January- April 2025
Theme 1: ,Writing Process & Academic Writing
Theme 2: Sentence structure
Theme 3: Paragraph structure
Theme 4: Essay Structure
Theme 5: Citing & Referencing, Evaluating sources
Theme 6: Text polishing and editing

Further information

Course Requirement: The students need to have completed the English Professional Skills course.

We will be using Itslearning for this course.

Compulsory physical attendance

Evaluation scale

H-5

Assessment methods and criteria

The students need to physically attend and complete all the tasks/assignments within the deadlines in order to pass the course because this improves the student's ability to track their own learning, receive continuous feedback, and provide ongoing evidence of their skill development throughout the course.
The students need to follow the writing process:
1. select a topic of interest - to be approved by the teacher
2. collect sources of info
3. write a proposal for essay thesis statement and essay outline - to be approved and commented on by the teacher
4. the teacher provides an essay question based on the the previous steps and the the students write the essay in class using pen and paper
5. The teacher provides comments on the "pen and paper" the essay
6. The student revises the essay using Draft Coach and addressing the teacher feedback

Assessment criteria, fail (0)

fi
The student has insufficient attendance (has been absent in 3 classes) and/or has not submitted writing tasks within the given deadlines). Insufficient attendance and intermittent return of assignments will result in immediate failure of the course.
The student has completed tasks but they are not of an acceptable standard.
The student keeps changing the topic of the essay and therefore cannot provide evidence of their writing process.
The student has committed plagiarism. The student has submitted work with a high percentage (20% +) of similarity to other sources.
The student has used AI-generated content.
The student has provided references that when checked they do not match the title listed in the references ( fake references).
The student is not able to properly cite sources in the text.

Assessment criteria, satisfactory (1-2)

The student can describe and identify features of academic writing, elements of paragraph and essay structure, unity and coherence, and is aware of ways to avoid plagiarism.
The text contains several grammatical and use of language mistakes and several instances of informal writing

Assessment criteria, good (3-4)

The student can produce text that contains some features of academic writing, has some elements of paragraph and essay structure. The student can produce text that displays a degree of unity and coherence. The student can reference sources and compile a reference list although there are inconsistencies in the format and style.
The text contains some grammatical and use of language mistakes and some instances of informal writing

Assessment criteria, excellent (5)

The student can produce text that contains most features of academic writing, has well-developed elements of paragraph and essay structure. The student can produce text that displays unity and coherence consistently throughout the essay. The student can reference sources and compile a reference list in a consistent format and style.
The text contains few grammatical and use of language mistakes and few instances of informal writing.

Qualifications

English Professional Skills, B2 or level B2 according to European Framework of Reference for Languages

Objective

After completing this course student can:

Install Git Bash
Initialize repository and commit code to Git
Create, use and merge branches
Use stashing and unstashing
Use Git remotes, push and pull code from Git remotes

Content

Basic use of Git locally and Git remotes.

Materials

Materials provided in itslearning and relevant material on the internet.

Teaching methods

Self-study
Practical assignment

Exam schedules

No exam

International connections

Self-study

Student workload

Practical assignment and self study, altogether 27 hours.

Assessment criteria, approved/failed

Course is passed, if the assignment is done and returned according to instructions.

Content scheduling

Course is a self-paced non-stop course about the basic use of Git locally and Git remotes (such as GitLab).

After completing this course student can:
- Install Git Bash
- Initialize repository and commit code to Git repository using Git Bash
- Create, use and merge branches
- Use stashing and unstashing
- Use Git remotes, push and pull code from Git remotes
- use tags

Enroll to course in Peppi. After teachers have accepted your enrollment in Peppi, you should see the course's workspace in itslearning automatically (within a few days due to delay in the Peppi <> itslearning integration).

Further information

The teacher will inform about the course practicalities in itslearning.

If you have any questions about the course, please contact the course teachers by email.

Enroll to course in Peppi. When your enrollment is accepted, you'll get access to course's Itslearning (within a day or two after enrollment acceptance).

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

Quality of the returned assignment.

There are two parts in this course, Basics with Git Bash and Git with VS Code. You need to pass both parts to pass this course successfully.

Objective

After completing the course the student can
- use derivatives to analyze functions
- use differentials to approximate changes and errors
- use integrals to calculate e.g. areas and volumes, mean values and square mean values
- solve integrable and 1. order separable differential equations
- use relevant mathematical denotation correctly

Content

- Limits
- The derivative
- Differentials
- Antiderivatives and the definite integral
- Applications of differentiation and integration
- On differential equations

Materials

1. Calculus (3rd edition), Fred Safier, SCHAUM’S outlines.
2. Engineering Mathematics (6th edition), K.A. Stroud [MACMILLAN PRESS LTD]
3. Formula book: Technical formulas

Teaching methods

Teacher-directed classroom activities, group work and independent work; project work, reports, task-based (homework)

International connections

The contents of the course give understanding to use the derivatives to analyze functions, use differentials to approximate changes and errors, solve separable and linear first order differential equations, use integrals to calculate e.g. areas and mean values and square mean values of functions and use relevant mathematical denotation correctly, moreover the students can use relevant mathematical denotation correctly.
The students will team up for a project work and writing reports on some current and relevant aspect of math, which gives everyone an opportunity to understand the topic; all students will develop their mathematical proficiency.
Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration.

Student workload

Classroom activities: Classroom activities participation: 50 h
Homework: Working on homework sets 1-6: 30 h
Project work: Research, presentation material, presentation: 20h
Final exam: Preparing for the final exam : 25 h

Content scheduling

• Limits
• The derivative
• Differentials
• Antiderivatives and the definite integral
• Applications of differentiation and integration
• On differential equations

Further information

All practical information on timetables, project work, grading etc., as well as links to web materials are provided in ITS Learning

Evaluation scale

H-5

Assessment methods and criteria

Assessment Method
1. 30% of the homework is MANDATORY and students can get points if they do more than 50%.

2. Points distributed as follow:
i. First Exam = 20 points
ii. Second Exam = 20 points
iii. Homework =10 points
Total = 50 points

Assessment criteria, fail (0)

Fail in the final exam and not doing the assignments.
collect (0--25) points

Assessment criteria, satisfactory (1-2)

Collect (25--35) points in the exams and doing more 50% of the assignments.

Assessment criteria, good (3-4)

Collect (35--45) points in the exams and doing at least 75% of the assignments

Assessment criteria, excellent (5)

Collect (45--50) points in the exam and doing at least 85% of the assignments

Qualifications

Precalculus course or equivalent skills

Objective

After completing the course the student can
- use derivatives to analyze functions
- use differentials to approximate changes and errors
- use integrals to calculate e.g. areas and volumes, mean values and square mean values
- solve integrable and 1. order separable differential equations
- use relevant mathematical denotation correctly

Content

- Limits
- The derivative
- Differentials
- Antiderivatives and the definite integral
- Applications of differentiation and integration
- On differential equations

Materials

1. Calculus (3rd edition), Fred Safier, SCHAUM’S outlines.
2. Engineering Mathematics (6th edition), K.A. Stroud [MACMILLAN PRESS LTD]
3. Formula book: Technical formulas

Teaching methods

Teacher-directed classroom activities, group work and independent work; project work, reports, task-based (homework)

International connections

The contents of the course give understanding to use the derivatives to analyze functions, use differentials to approximate changes and errors, solve separable and linear first order differential equations, use integrals to calculate e.g. areas and mean values and square mean values of functions and use relevant mathematical denotation correctly, moreover the students can use relevant mathematical denotation correctly.
The students will team up for a project work and writing reports on some current and relevant aspect of math, which gives everyone an opportunity to understand the topic; all students will develop their mathematical proficiency.
Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration.

Student workload

Classroom activities: Classroom activities participation: 50 h
Homework: Working on homework sets 1-6: 30 h
Project work: Research, presentation material, presentation: 20h
Final exam: Preparing for the final exam : 25 h

Content scheduling

• Limits
• The derivative
• Differentials
• Antiderivatives and the definite integral
• Applications of differentiation and integration
• On differential equations

Further information

All practical information on timetables, project work, grading etc., as well as links to web materials are provided in ITS Learning

Evaluation scale

H-5

Assessment methods and criteria

Assessment Method
1. 30% of the homework is MANDATORY and students can get points if they do more than 50%.

2. Points distributed as follow:
i. First Exam = 20 points
ii. Second Exam = 20 points
iii. Homework =10 points
Total = 50 points

Assessment criteria, fail (0)

Fail in the final exam and not doing the assignments.
collect (0--25) points

Assessment criteria, satisfactory (1-2)

Collect (25--35) points in the exams and doing more 50% of the assignments.

Assessment criteria, good (3-4)

Collect (35--45) points in the exams and doing at least 75% of the assignments

Assessment criteria, excellent (5)

Collect (45--50) points in the exam and doing at least 85% of the assignments

Qualifications

Precalculus course or equivalent skills

Objective

After completing the course the student:
is familiar with the basic concepts and principles of cryptology
understands some mathematical backgrounds of cryptography
knows how symmetric and asymmetric ciphers function
can explain the workings of some cryptographic applications

Content

• basic concepts and principles of cryptology
• mathematical backgrounds of cryptography
• symmetric and asymmetric ciphers
• some up to date cryptographic applications

Location and time

September – December 2018.

Materials

Lecture notes, exercises, various internet sources, links & descriptions are provided in Itslearning.

A Graduate Course in Applied Cryptography by D. Boneh and V. Shoup (Version 0.6, January 2023). Available online: https://toc.cryptobook.us/book.pdf
Understanding Cryptography by C. Paar and J. Pelz (Springer, 2010). Available in the library. Some chapters are available for free online.

Teaching methods

Classroom activities, group work and independent work; project work, task-based (homework).

Exam schedules

Final exam 10.12.2024

International connections

The contents of the course give understanding of the basic cryptographic tools and devices which are essential in the operating environment of an ICT engineer, such as all electronic and wireless communications, e-commerce applications etc.

Students will team up for a project work on some current and relevant aspect of cryptology. The teams will present their work to the whole group, which gives everyone a broader understanding on the topic.

Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration.

Completion alternatives

You get points from the homework, the project work, and the final exam.
Homework points are granted only when it's done properly and submitted in time in the respective Itslearning HW box.
Project work points are granted separately from the report and the presentation.
There is no way to compensate for missing a homework deadline or the project work submission deadline.

To pass the course, you need to gain at least 40 % of the total points
and either

a) at least 40 % of the final exam points
or

b) 75 % classroom attendance and an approved project participation.

Student workload

Classroom activities participation + preparation 40 h
Homework 40 h
Project work 30 h
Final exam + preparation 15 h

Content scheduling

• basic concepts and principles of cryptology
• mathematical backgrounds of cryptography
• symmetric and asymmetric ciphers
• some up to date cryptographic applications

September - December 2024

Further information

For timetables, see lukkari.turkuamk.fi.
Other practical information & materials available in Itslearning.

Evaluation scale

H-5

Assessment methods and criteria

Weekly classroom activities + homework 60 %.
Project report and presentation 20 %.
Final exam 20 %. (A written exam on specified material.)

You need to achieve 40 % of total points to pass the course.
Additionally, you need to
1. attain 75 % active classroom attendance + approved project participation
OR
2. attain at least 40 % of the final exam points.

Assessment criteria, fail (0)

Student has not demonstrated achieving the learning objectives of the course. They recognize and can use only few of the concepts of the course topics, and show no skills to apply them.
Student has not achieved 40 % of total points OR has failed to meet one of the passing conditions of the course.

Assessment criteria, satisfactory (1-2)

Student has demonstrated having achieved the learning objectives of the course on satisfactory level. They recognize and can to some extent use most of the concepts of the course topics.

Assessment criteria, good (3-4)

Student has demonstrated having achieved the learning objectives of the course well.
They recognize and can use most of the concepts of the course topics, and are able to apply them on various study and work contexts.

Assessment criteria, excellent (5)

Student has demonstrated having achieved the learning objectives of the course on excellent level. They master the concepts of the course topics, and are able to fluently apply them on study and work contexts.

Qualifications

Basics of Mathematical Analysis, Number Theory and Algorithmics

Materials

Learning material consists of material produced by the Lecturer as well as extra material obtainable from TUAS resources (ebooks).

Teaching methods

Learning is achieved through contact lectures, written home assignments and laboratory assignments.

Exam schedules

The course exam will take place in Itslearning on week 48/2024.

Re-take opportunities will be provided on week 49 and 50 (2 sessions).

Content scheduling

The course consists of contact lectures and contact laboratory sessions. There will be 9 lectures, which will cover theory and technologies related Cybersecurity in Industrial Networks. In 5 laboratory sessions, students will get to know relevant aspects and protocols used in industrial networks through laboratory assignments.

The course will begin on week 22/2024 and end by week 50/2024.

Evaluation scale

H-5

Assessment methods and criteria

Each home assignment and laboratory assignment will be evaluated separately.

There will be 3 written home assignments and 6 laboratory assignments. Home assignments will each be valued 10 points and laboratory assignments will each be valued on average at 5 points. The maximum points for the course exam will be 40 points. The total points for the course will be 100 points and the grading will be as follows:

Home assignments 30 p
Laboratory assignments 30 p
+ optional bonus labs 20 p
Course examination 40 p

49 and less = Failed
50-59 pts = 1
60-69 pts = 2
70-79 pts = 3
80-89 pts = 4
90 and more = 5

Course lecture and lab session attendance will be monitored. Minimum of 50% attendance in the contact sessions is required to pass the course. Possible exceptions must be discussed with the lecturer by each student separately.

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:
- 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:
- understand different types of databases and evaluate their feasibility for different purposes.
- plan and implement a database based on requirements and search and modify data in the database
- use at least one well-known database management system
- describe database management tasks

Content

- Different types of databases
- Definition, planning and implementation of databases
- SQL basics
- Database administration with DBMS
- Management principles for databases

Materials

Lecture slides and examples by the teacher
Lot of internet material available
Supporting books about relational databases and SQL are available in Internet.
MongoDB has good tutorials and documentation as well.

Teaching methods

The course consists of
1) lecture and home exercises (small queries and design tasks)
2) personal practical work (creating your own database) and
3) exam (testing your acquired skills).

Lecture exercises are divided into weekly topics. Each week introduces a new topic that builds on top of previous weeks. Each lecture begins with an introduction to the topic of the week, which includes practical examples and learning material. Exercises are done individually or in small groups with the help of the teacher .

NOTE! Lecture exercises can be returned only by participating in the lecture session!

Exam schedules

The exam is performed in ViLLE system www.ville.utu.fi which supports SQLite.
1st exam is organized in the class room (during the regular meeting time: the last lecture time) where Internet use is allowed for information retrieval.
Re-exams, i.e. 2nd and 3rd exams, are e-exams in the e-exam room premises (EduCity, Library) where Internet use is not allowed. E-exams are open 6 months after the course has ended.

International connections

- Learning by doing and trial&error with lecture exercises,
- Introductory lectures and examples provided by the teacher.
- Collaborating with other students in the lectures.

Completion alternatives

Participation in the lecture is not compulsory, but exercises can be returned only during the lecture.

Online course is available for those whose attendance in lectures is not possible. This self-study option has slightly different emphasis of topics and grading. These will be introduced in the beginning of the course in the first lecture. Students can choose their preferred method after the first lecture.

Student workload

Participating weekly in lectures (exercises): a' 3 hours * 13 = 40h
Home exercises 10h
Individual practical work 60h
Exam 3 hours + preparing 20h

Student workload is about 5-8 h / week if you are new to relational databases.

Content scheduling

In this course, students learn to use and design relational databases as well as understand differences to NoSQL/document databases. First, students familiarize with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the database design. Second, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). Last, students learn differences between SQL and NoSQL databases through desinging and using MongoDB document database. The course consists of lectures, exercises, a practical work and final exam.

Topics (and hours used in teaching sessions) in the order of appearance:
- Relational DBMS and DB use 6h
- Relational database design 9h
- Basics of SQL 18h
- Introduction to document database MongoDB 6h

Further information

All returns and communications take place through the It's Learning platform (except for the online course).

There are no pre-requisites for course performance in this course, and this course does not require previously acquired skills. It is necessary to have your own computer and know how to use it.
We use the relational database and its management environment for practical training (MySQL, MariaDB, SQLite or similar used in UwAmp, XAMPP or WAMP or similar) and must be installed on the student's personal computer. The necessary applications are installed in a lecture together.
In addition to relational databases, students learn about MongoDB cloud services, Mongo Shell, and practice designing and using a document-based database.

Evaluation scale

H-5

Assessment methods and criteria

The course is graded from 0-5. The grade is based on collected points during the course.
Each returned exercise is 1 point unless mentioned otherwise. The exam is compulsory part and must be passed with 40% of total points of the exam, in order to pass the course.

Division of points:
Lecture and home exercises 70 p points in total
Practical work 60 points
Exam 70 p points
Total 200 points

Course grading:
Points Grade
0-99 NOT PASSED
100-119 1
120-139 2
140-159 3
160-179 4
180-200 5

Assessment criteria, fail (0)

Less than 50% of total points collected or the exam is failed (less than 40% of total points of the exam). Check the points-to-grade table

Assessment criteria, satisfactory (1-2)

- Is able to implement relational database management software (DBMS) and know the tasks related to database maintenance
- Is able to design a relational database using conceptual model technique (ER or similar notation)
- Can implement a relational database with SQL statements
- Can retrieve, add and edit data in a relational database with simple SQL statements
- Knows different types of databases and their uses

Less than 70% of total points collected.

Assessment criteria, good (3-4)

In addition
- Can interpret the concept model and implement a relational database based on it
- Understands the meaning and use of keys and reference integrity in relational databases
- Is able to use SQL statements for data retrieval in various ways, such as combining data from different tables
- Understands the principle and purpose of normalization
- Can introduce non-relational databases and evaluate their suitability for different purposes (MongoDB)


70-90% of total points collected.

Assessment criteria, excellent (5)

In addition
- Is able to independently develop a high-quality concept model based on the user requirements
- Can use normalization to improve the quality of a relational database
- Can use SQL statements for information retrieval in various ways, such as sub-groupings and sub-queries
- Can do basic queries and design a simple NoSQL database (MongoDB)

More than 90% of total points collected.

Qualifications

Computer Skills

Objective

After completing the course the student can:
- understand different types of databases and evaluate their feasibility for different purposes.
- plan and implement a database based on requirements and search and modify data in the database
- use at least one well-known database management system
- can describe database management tasks

Content

- Different types of databases
- Definition, planning and implementation of databases
- SQL basics
- Database administration in DBMS

Materials

Lecture slides and examples by the teacher
Lot of internet material available
Supporting books about relational databases and SQL are available in Internet.
MongoDB has good tutorials and documentation as well.

Teaching methods

The course consists of
1) lecture and home exercises (small queries and design tasks)
2) personal practical work (creating your own database) and
3) exam (testing your acquired skills).

Lecture exercises are divided into weekly topics. Each week introduces a new topic that builds on top of previous weeks. Each lecture begins with an introduction to the topic of the week, which includes practical examples and learning material. Exercises are done individually or in small groups with the help of the teacher .

NOTE! Lecture exercises can be returned only by participating in the lecture session!

Exam schedules

The exam is performed in ViLLE system www.ville.utu.fi which supports SQLite.
1st exam is organized in the class room (during the regular meeting time: the last lecture time) where Internet use is allowed for information retrieval.
Re-exams, i.e. 2nd and 3rd exams, are e-exams in the e-exam room premises (EduCity, Library) where Internet use is not allowed. E-exams are open 6 months after the course has ended.

International connections

- Learning by doing and trial&error with lecture exercises,
- Introductory lectures and examples provided by the teacher.
- Collaborating with other students in the lectures.

Completion alternatives

Participation in the lecture is not compulsory, but exercises can be returned only during the lecture.

Online course is available for those whose attendance in lectures is not possible. This self-study option has slightly different emphasis of topics and grading. These will be introduced in the beginning of the course in the first lecture. Students can choose their preferred method after the first lecture.

Student workload

Participating weekly in lectures (exercises): a' 3 hours * 13 = 40h
Home exercises 10h
Individual practical work 60h
Exam 3 hours + preparing 20h

Student workload is about 5-8 h / week if you are new to relational databases.

Content scheduling

In this course, students learn to use and design relational databases as well as understand differences to NoSQL/document databases. First, students familiarize with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the database design. Second, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). Last, students learn differences between SQL and NoSQL databases through desinging and using MongoDB document database. The course consists of lectures, exercises, a practical work and final exam.

Topics (and hours used in teaching sessions) in the order of appearance:
- Relational DBMS and DB use 6h
- Relational database design 9h
- Basics of SQL 18h
- Introduction to document database MongoDB 6h

Further information

All returns and communications take place through the It's Learning platform (except for the online course).

There are no pre-requisites for course performance in this course, and this course does not require previously acquired skills. It is necessary to have your own computer and know how to use it.
We use the relational database and its management environment for practical training (MySQL, MariaDB, SQLite or similar used in UwAmp, XAMPP or WAMP or similar) and must be installed on the student's personal computer. The necessary applications are installed in a lecture together.
In addition to relational databases, students learn about MongoDB cloud services, Mongo Shell, and practice designing and using a document-based database.

Evaluation scale

H-5

Assessment methods and criteria

The course is graded from 0-5. The grade is based on collected points during the course.
Each returned exercise is 1 point unless mentioned otherwise. The exam is compulsory part and must be passed with 40% of total points of the exam, in order to pass the course.

Division of points:
Lecture and home exercises 70 p points in total
Practical work 60 points
Exam 70 p points
Total 200 points

Course grading:
Points Grade
0-99 NOT PASSED
100-119 1
120-139 2
140-159 3
160-179 4
180-200 5

Assessment criteria, fail (0)

Less than 50% of total points collected or the exam is failed (less than 40% of total points of the exam). Check the points-to-grade table

Assessment criteria, satisfactory (1-2)

- Is able to implement relational database management software (DBMS) and know the tasks related to database maintenance
- Is able to design a relational database using conceptual model technique (ER or similar notation)
- Can implement a relational database with SQL statements
- Can retrieve, add and edit data in a relational database with simple SQL statements
- Knows different types of databases and their uses

Less than 70% of total points collected.

Assessment criteria, good (3-4)

In addition
- Can interpret the concept model and implement a relational database based on it
- Understands the meaning and use of keys and reference integrity in relational databases
- Is able to use SQL statements for data retrieval in various ways, such as combining data from different tables
- Understands the principle and purpose of normalization
- Can introduce non-relational databases and evaluate their suitability for different purposes (MongoDB)


70-90% of total points collected.

Assessment criteria, excellent (5)

In addition
- Is able to independently develop a high-quality concept model based on the user requirements
- Can use normalization to improve the quality of a relational database
- Can use SQL statements for information retrieval in various ways, such as sub-groupings and sub-queries
- Can do basic queries and design a simple NoSQL database (MongoDB)

More than 90% of total points collected.

Objective

After completing the course the student can:
- understand different types of databases and evaluate their feasibility for different purposes.
- plan and implement a database based on requirements and search and modify data in the database
- use at least one well-known database management system
- can describe database management tasks

Content

- Different types of databases
- Definition, planning and implementation of databases
- SQL basics
- Database administration in DBMS

Materials

Lecture slides and examples by the teacher
Lot of internet material available
Supporting books about relational databases and SQL are available in Internet.
MongoDB has good tutorials and documentation as well.

Teaching methods

The course consists of
1) lecture and home exercises (small queries and design tasks)
2) personal practical work (creating your own database) and
3) exam (testing your acquired skills).

Lecture exercises are divided into weekly topics. Each week introduces a new topic that builds on top of previous weeks. Each lecture begins with an introduction to the topic of the week, which includes practical examples and learning material. Exercises are done individually or in small groups with the help of the teacher .

NOTE! Lecture exercises can be returned only by participating in the lecture session!

Exam schedules

Not decided

International connections

- Learning by doing and trial&error with lecture exercises,
- Introductory lectures and examples provided by the teacher.
- Collaborating with other students in the lectures.

Completion alternatives

Participation in the lecture is not compulsory, but exercises can be returned only during the lecture.

Online course is available for those who can't participate on lectures. This self-study option has slightly different emphasis of topics and grading. These will be introduced in the beginning of the course in the first lecture. Students can choose their preferred method after the first lecture.

Student workload

Introduction lecture 2h
Participating weekly in lectures (exercises): a' 3 hours * 13 = 39h
Home exercises 10h
Individual practical work 60h
Exam + preparing 20h

Student workload is about 5-8 h / week if you are new to relational databases.

Content scheduling

In this course, students learn to use and design relational databases as well as understand differences to NoSQL/document databases. First, students familiarize with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the database design. Second, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). Last, students learn differences between SQL and NoSQL databases through desinging and using MongoDB document database. The course consists of lectures, exercises, a practical work and final exam.

Topics (and hours used in teaching sessions) in the order of appearance:
- Relational DBMS and DB use 6h
- Relational database design 9h
- Basics of SQL 18h
- Introduction to document database MongoDB 6h

Further information

All returns and communications take place through the It's Learning platform (except for the online course).

There are no pre-requisites for course performance in this course, and this course does not require previously acquired skills. It is necessary to have your own computer and know how to use it.

We use the relational database and its management environment for practical training (MySQL, MariaDB, SQLite or similar used in UwAmp, XAMPP or WAMP or similar) and must be installed on the student's personal computer. The necessary applications are installed in a lecture together.

In addition to relational databases, students learn about MongoDB cloud services, Mongo Shell, and practice designing and using a document-based database.

Evaluation scale

H-5

Assessment methods and criteria

The course is graded from 0-5. The grade is based on collected points during the course.

Each returned exercise is 1 point unless mentioned otherwise. The exam is compulsory part and must be passed with 40% of total points of the exam, in order to pass the course.

Division of points:
Lecture and home exercises 70 points in total
Practical work 60 points
Exam 70 p points
Total 200 points

Course grading:
Points Grade
0-99 NOT PASSED
100-119 1
120-139 2
140-159 3
160-179 4
180-200 5

Assessment criteria, fail (0)

Less than 50% of total points collected or the exam is failed (less than 40% of total points of the exam). Check the points-to-grade table

Assessment criteria, satisfactory (1-2)

- Is able to implement relational database management software (DBMS) and know the tasks related to database maintenance
- Is able to design a relational database using conceptual model technique (ER or similar notation)
- Can implement a relational database with SQL statements
- Can retrieve, add and edit data in a relational database with simple SQL statements
- Knows different types of databases and their uses

Less than 70% of total points collected.

Assessment criteria, good (3-4)

In addition
- Can interpret the concept model and implement a relational database based on it
- Understands the meaning and use of keys and reference integrity in relational databases
- Is able to use SQL statements for data retrieval in various ways, such as combining data from different tables
- Understands the principle and purpose of normalization
- Can introduce non-relational databases and evaluate their suitability for different purposes (MongoDB)

70-90% of total points collected.

Assessment criteria, excellent (5)

In addition
- Is able to independently develop a high-quality concept model based on the user requirements
- Can use normalization to improve the quality of a relational database
- Can use SQL statements for information retrieval in various ways, such as sub-groupings and sub-queries
- Can do basic queries and design a simple NoSQL database (MongoDB)

More than 90% of total points collected.

Objective

After completing the course the student:
- should be familiar with fundamental electronic circuits.
- is able to design simple analog signal processing functions using operational amplifiers.
- is able to design small signal amplifiers using transistors.

Content

- diodes
- operational amplifiers
- bipolar transistors andMOSFETs

Materials

Lecture materials
Lab instructions in OneNote

Teaching methods

Lectures
Homework
Lab exercises

Exam schedules

To be agreed during the course

International connections

The lectures will introduce the theory required for the lab exercise. Simulations are used to verify the designed circuitry. Implementing and measuring the actual circuits gives deeper understanding and brings hands-on experience on real-world working methods.

Completion alternatives

N/A

Student workload

Lectures 7*2h (14h)
Lab exercises 7 * 3h (21h)
A short exam (1h)

Independent work incl. simulations (99h)

Total: 135h

Content scheduling

The course covers basics of electronics plus some of the typical circuits and components required in embedded systems, when interfacing microcontrollers to the external world.

Further information

Teams-channel of the course

Evaluation scale

H-5

Assessment methods and criteria

Based on:

- Number of completed (and demonstrated) lab exercises
- A short exam

Assessment criteria, fail (0)

Less than 50% lab exercises completed
OR
less than 50% of max points on exam.

Qualifications

Introduction to Electronics and Transmission

Objective

After completing the course the student:
- can design, implement and debug software for embedded Linux platform in IoT context

Content

Embedded IoT application development for Linux platform

Materials

Study material is distributed during the course

Teaching methods

Weekly lab sessions

Exam schedules

TBD

International connections

Instructed lab sessions
Homework
Self-study
A project work
A short exam

Completion alternatives

-

Student workload

Lab sessions and homework 14x8 hours = 112 hours
Self study 165 hours
Project work 8x16=128 hours

Content scheduling

Module implementation has 3 parts
Weeks 1-10:
1) Embedded Linux Application Development: Setting up development tools and cross-compiler, application debugging, Linux application basics, hardware and I/O operations, interrupts
2) Cisco NetAcademy: NDG Linux 1 self-study course
Weeks 11-15:
3) Embedded Linux Project Work: Student teams develop Linux-based IoT system components and systems.

Further information

Itslearning
(Teams)
Gitlab

Evaluation scale

H-5

Assessment methods and criteria

Lab performance and homework 48 points max
Exam 20 points max
Linux systems web course 32 pts

Assessment criteria, fail (0)

Less than 50 (out of 100) points collected from available sources

Assessment criteria, satisfactory (1-2)

1: >50 points
2: >60 points

Assessment criteria, good (3-4)

3: >70 points
4: >80 points

Assessment criteria, excellent (5)

5: >90 points

Qualifications

System software
IoT Essentials

Objective

After completing the course the student can:
- use quantities and units in accordance with the SI system
- solve problems consist of motion
- make graphical presentations and analyze them
- draw free-body diagram
- solve problems involved forces using Newton´s laws
- apply work and conservation of energy to solve problems
- calculate electric and magnetic forces acting on particles and the wave motion of an electro-magnetic fields in engineer’s work
- describe measurement techniques of temperature

Content

- SI system of units
- kinematics, friction
- Newton´s laws with some applications
- work, power and energy
- electric and magnetic fields

Materials

OpenStax College Physics for AP® Courses 2e
In addition, online material prepared by the teacher, which is shared through the ItsLearning workspace.

Teaching methods

contact teaching, task-based study, independent study, teamwork, virtual teaching

Exam schedules

1st part-exam at week 44
2nd part-exam at week 50
The possibility to repeat part-exams is organized in December 2024 - January 2025 at a time to be announced later.

International connections

In the course, basic physics skills are studied, which are the basis of engineering work. The examples and tasks contain application examples related to the field of study. The course uses international physics notation and terminology, which gives students the skills to understand international engineering literature, standards, etc. When solving assignments, students are encouraged to work in a team. In the course an electrical learning environment is used.

Completion alternatives

If the student wants to complete the course with a test without homework, it must be agreed separately with the teacher.

Student workload

Contact lessons and exams 52 h
Independent study, homework and preparation for part-exams 75 h

Content scheduling

9/2024 - 10/2024: Quantities, units, significant numbers, motion in one and two dimensions, projectile motion, free-body diagram, forces (Newton's laws), weight, forces of friction, work, energy and power; 1st part-exam
11/2024 - 12/2024: Electrostatics (Coulomb's law, electric field and potential), DC circuits, circuit analysis, fundamentals of magnetism, induction, transformer, generator, AC, impedance, electromagnetic waves; 2nd part-exam
12/2024 - 1/2025: Retakes of part-exams.

Further information

ITSlearning.

The course requires a calculator (function calculator or graphing calculator).

(Avoin AMK 3 students)

Evaluation scale

H-5

Assessment methods and criteria

A total of 126 points.
A maximum of 66 points for completing homework assignments (one point is awarded for each correctly solved assignment)
A maximum of 60 points from the part-exams (2 x 30 points)

The course has a mandatory attendance: 50% of all lessons (lectures and homework sessions).
If attendance > 70% you get 1 point. If attendance > 90% you get 2 points.

To pass, attendance must be at least 50% and a total of at 50 points must be obtained, and at least
- 12 of them must be obtained from the part-exams,
- 12 of them must come from the homework of topics 1-6
- 10 of them must come from the homework of topics 7-11

Assessment criteria, fail (0)

Attendance is less than 50%
or
Total points less than 50
or
A total of less than 12 points in the part-exams
or
Less than 12 points from the homework of topics 1-6
or
Less than 10 points from the homework of topics 7-11

Assessment criteria, satisfactory (1-2)

Attendance at least 50%.
A total of at least 50 points and less than 74 points, and a total of at least 12 points from part-exams and at least 12+10 points from homework.

Assessment criteria, good (3-4)

Attendance at least 50%.
At least 74 points and less than 98 points and a total of at least 12 points from part-exams and at least 12+10 points from homework.

Assessment criteria, excellent (5)

Attendance at least 50%.
At least 98 points.

Qualifications

High school mathematics courses (higher or subsidiary level)
OR
Primary+secondary school and vocational school mathematics curriculum
OR
equivalent skills

Objective

After completing the course the student can:
- use quantities and units in accordance with the SI system
- solve problems consist of motion
- make graphical presentations and analyze them
- draw free-body diagram
- solve problems involved forces using Newton´s laws
- apply work and conservation of energy to solve problems
- calculate electric and magnetic forces acting on particles and the wave motion of an electro-magnetic fields in engineer’s work
- describe measurement techniques of temperature

Content

- SI system of units
- kinematics, friction
- Newton´s laws with some applications
- work, power and energy
- electric and magnetic fields

Materials

OpenStax College Physics for AP® Courses 2e
In addition, online material prepared by the teacher, which is shared through the ItsLearning workspace.

Teaching methods

contact teaching, task-based study, independent study, teamwork, virtual teaching

Exam schedules

1st part-exam at week 9/10
2nd part-exam at week 16/17
The possibility to repeat part-exams is organized in May 2025 at a time to be announced later.

International connections

In the course, basic physics skills are studied, which are the basis of engineering work. The examples and tasks contain application examples related to the field of study. The course uses international physics notation and terminology, which gives students the skills to understand international engineering literature, standards, etc. When solving assignments, students are encouraged to work in a team. In the course an electrical learning environment is used.

Completion alternatives

If the student wants to complete the course with a test without homework, it must be agreed separately with the teacher.

Student workload

Contact lessons and exams 52 h
Independent study, homework and preparation for part-exams 75 h

Content scheduling

1/2025 - 2/2025: Quantities, units, significant figures, motion in one and two dimensions, projectile motion, free-body diagram, forces (Newton's laws), weight, forces of friction, work, energy and power; 1st part-exam
3/2025 - 4/2025: Electrostatics (Coulomb's law, electric field and potential), DC circuits, circuit analysis, fundamentals of magnetism, induction, transformer, generator, AC, impedance, electromagnetic waves; 2nd part-exam
5/2025: Retakes of part-exams

Further information

ITSlearning.

The course requires a calculator (scientific calculator or graphic display calculator).

(Avoin AMK 3 students)

Evaluation scale

H-5

Assessment methods and criteria

A total of 126 points.
A maximum of 66 points for completing homework assignments (one point is awarded for each correctly solved assignment)
A maximum of 60 points from the part-exams (2 x 30 points)

The course has a mandatory attendance: 50% of all classes (lectures and homework lessons).

To pass, attendance must be at least 50% and a total of at 50 points must be obtained (at least 12 of which are from exams)

Assessment criteria, fail (0)

Attendance is less than 50%
or
Total points less than 50
or
A total of less than 12 points in the part-exams

Assessment criteria, satisfactory (1-2)

Attendance at least 50%.
A total of at least 50 points and less than 74 points, and exam points are at least 12 points.

Assessment criteria, good (3-4)

Attendance at least 50%.
A total of at least 74points and less than 98 points, and exam points are at least 12 points.

Assessment criteria, excellent (5)

Attendance at least 50%.
At least 98 points.

Qualifications

High school mathematics courses (higher or subsidiary level)
OR
Primary+secondary school and vocational school mathematics curriculum
OR
equivalent skills

Objective

After completing the course, the student
• can handle mathematical expressions and formulas within the engineering framework.
• understands the principles of solving equations and can solve equations encountered within technical applications.
• understands the basics of vector algebra and can apply vectors for modelling and solving technical problems.
• understands the basics concepts of geometry and trigonometry, and can apply them in modelling and problem solving.
• understands the concept of function and knows basic properties of functions.
• can apply functions for modelling and solving technical problems.
• understands the basic concepts of matrix algebra.
• can apply simultaneous equations for modelling and solving technical problems.
• can apply correct mathematical notations within the engineering framework.

Content

• Real numbers
• Basic arithmetic operations and the order of operations
• Algebraic expressions
• First and second order of polynomial equations and inequalities
• Simultaneous linear equations
• Radical functions and equations
• Exponential and logarithmic functions and equations
• Angles and angular units
• Right triangle and trigonometry
• Trigonometric functions and the unit circle
• Trigonometric equations
• The sine and cosine rules
• Basic concepts of vector algebra and modelling with vectors
• Scalar product and cross product of two vectors
• Basics of matrix algebra, determinant, inverse of a square matrix
• Field-specific content

Materials

1. Precalculus (3rd edition), Fred Safier, SCHAUM’S outlines.
2. Engineering Mathematics (6th edition), K.A. Stroud [MACMILLAN PRESS LTD]
3. Formula book: Technical formulas

Teaching methods

Teacher-directed classroom activities, group work and independent work; project work, reports, task-based (homework)

International connections

The contents of the course give understanding of the basic mathematics and help students to solve equations, including radical, exponential and logarithmic equations and use determinants and matrices (e.g. for solving linear simultaneous equations), apply dot and cross products (e.g. in games, physics and electrical engineering applications), moreover the students can use relevant mathematical denotation correctly
The students will team up for a project work and writing reports on some current and relevant aspect of basic math, which gives everyone an opportunity to understand the topic; all students will develop their mathematical proficiency.
Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration

Student workload

Classroom activities: Classroom activities participation 50 h
Homework: Working on homework sets 1-6 30 h
Project work: Research, presentation material, presentation 20h
Final exam: Preparing for the final exam 25 h

Content scheduling

- Sets of numbers and number systems
- Real functions
- Polynomials equations and inequalities, exponential and logarithmic equations;
- Trigonometry for right triangles
- Complex numbers
- Vectors and matrices

Further information

All practical information on timetables, project work, grading etc., as well as links to web materials are provided in ITS Learning.

Evaluation scale

H-5

Assessment methods and criteria

Assessment Method
1. 30% of the homework is MANDATORY and students can get points if they do more than 50%.

2. Points distributed as follow:
i. First Exam = 20 points
ii. Second Exam = 20 points
iii. Homework =10 points
Total = 50 points

Assessment criteria, fail (0)

Fail in the final exam and not doing the assignments.

Assessment criteria, satisfactory (1-2)

Collect (25--35) points in the exams and doing more 50% of the assignments.

Assessment criteria, good (3-4)

Collect (35--45) points in the exams and doing at least 75% of the assignments

Assessment criteria, excellent (5)

Collect (45--50) points in the exam and doing at least 85% of the assignments

Qualifications

Introduction to mathematical sciences or corresponding skills.

Objective

After completing the course, the student
• can handle mathematical expressions and formulas within the engineering framework.
• understands the principles of solving equations and can solve equations encountered within technical applications.
• understands the basics of vector algebra and can apply vectors for modelling and solving technical problems.
• understands the basics concepts of geometry and trigonometry, and can apply them in modelling and problem solving.
• understands the concept of function and knows basic properties of functions.
• can apply functions for modelling and solving technical problems.
• understands the basic concepts of matrix algebra.
• can apply simultaneous equations for modelling and solving technical problems.
• can apply correct mathematical notations within the engineering framework.

Content

• Real numbers
• Basic arithmetic operations and the order of operations
• Algebraic expressions
• First and second order of polynomial equations and inequalities
• Simultaneous linear equations
• Radical functions and equations
• Exponential and logarithmic functions and equations
• Angles and angular units
• Right triangle and trigonometry
• Trigonometric functions and the unit circle
• Trigonometric equations
• The sine and cosine rules
• Basic concepts of vector algebra and modelling with vectors
• Scalar product and cross product of two vectors
• Basics of matrix algebra, determinant, inverse of a square matrix
• Field-specific content

Materials

1. Precalculus (3rd edition), Fred Safier, SCHAUM’S outlines.
2. Engineering Mathematics (6th edition), K.A. Stroud [MACMILLAN PRESS LTD]
3. Formula book: Technical formulas

Teaching methods

Teacher-directed classroom activities, group work and independent work; project work, reports, task-based (homework)

International connections

The contents of the course give understanding of the basic mathematics and help students to solve equations, including radical, exponential and logarithmic equations and use determinants and matrices (e.g. for solving linear simultaneous equations), apply dot and cross products (e.g. in games, physics and electrical engineering applications), moreover the students can use relevant mathematical denotation correctly
The students will team up for a project work and writing reports on some current and relevant aspect of basic math, which gives everyone an opportunity to understand the topic; all students will develop their mathematical proficiency.
Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration

Student workload

Classroom activities: Classroom activities participation 50 h
Homework: Working on homework sets 1-6 30 h
Project work: Research, presentation material, presentation 20h
Final exam: Preparing for the final exam 25 h

Content scheduling

• Real numbers
• Basic arithmetic operations and the order of operations
• Algebraic expressions
• First and second order of polynomial equations and inequalities
• Simultaneous linear equations
• Radical functions and equations
• Exponential and logarithmic functions and equations
• Angles and angular units
• Right triangle and trigonometry
• Trigonometric functions and the unit circle
• Trigonometric equations
• The sine and cosine rules
• Basic concepts of vector algebra and modelling with vectors
• Scalar product and cross product of two vectors
• Basics of matrix algebra, determinant, inverse of a square matrix
• Field-specific content

Further information

All practical information on timetables, project work, grading etc., as well as links to web materials are provided in ITS Learning.

Evaluation scale

H-5

Assessment methods and criteria

Assessment Method
1. 30% of the homework is MANDATORY and students can get points if they do more than 50%.

2. Points distributed as follow:
i. First Exam = 20 points
ii. Second Exam = 20 points
iii. Homework =10 points
Total = 50 points

Assessment criteria, fail (0)

Fail in the final exam and not doing the assignments.

Assessment criteria, satisfactory (1-2)

Collect (25--35) points in the exams and doing more 50% of the assignments.

Assessment criteria, good (3-4)

Collect (35--45) points in the exams and doing at least 75% of the assignments

Assessment criteria, excellent (5)

Collect (45--50) points in the exam and doing at least 85% of the assignments

Qualifications

Introduction to mathematical sciences or corresponding 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

teacher’s own and web-based material

Teaching methods

teacher-directed classroom activities, independent work, pair work, group work, project work, online activities (quizzes, meetings)

Exam schedules

No exam. There is continuous assessment.

International connections

The contents and the assessed outputs of the course are designed to provide the students with English language communication skills they need in working life especially when working in projects. Examples include producing instructions and reports, organizing physical and online meetings and producing the relevant documents and emails, collaborative writing and presentation of results. In addition, the students have to complete tasks individually, in pairs and as a group which enhances their communication and interpersonal skills. The assessment is continuous and teacher and peer assessment is provided after the completion of each task.
The course deals with the theme of sustainable development in discussing presenting, reading articles about general concepts ( e.g. green IT, energy efficiency), technologies & strategies (such as cloud computing, virtualization); social & ethical issues ( e.g. data privacy, digital divide, inclusive access)

Completion alternatives

A: The student can complete the English Professional Skills B2 (5ECTS) and complete Accreditation of Prior Learning based on Competence (not transfer of credits):
Within two weeks since the course start, the student submits a video and a written report showcasing expertise in oral and written workplace communication and professional communication. The report must include concrete examples of workplace communication (e.g. meetings, negotiations, written reports, instructions, emails, and so on). If the submission fulfills the assessment criteria, the student can attain the credits. If the submission does not meet the criteria, the student joins the course.
B: The student can complete the English Professional Skills B2 (5ECTS) and complete Transfer of Credits within the first two weeks of the course if the student has completed a course with the same credits and similar content at a same level (higher education)) educational institution within the last 5 years. The student will also need to provide an official transcript and course content description. Please note that this method of attainment does not apply to Open Path students

Student workload

classroom activities: 28 h
individual work: 45 h
pairwork work: 30 h
group work: 27h

Content scheduling

September – December 2024
1. Before you start
2. Introducing yourself & studies
3. Emails
4. Presentations
5. Reporting
6. Meetings
7. End of course evaluation

Evaluation scale

H-5

Assessment methods and criteria

The students need to physically attend and complete all the tasks/assignments within the deadlines in order to pass the course because this improves the student's ability to track their own learning, receive continuous feedback, and provide ongoing evidence of their skill development throughout the course.

Assessment criteria, fail (0)

The student has insufficient attendance (has been absent in more than 4 classes). The student has not completed all the tasks. The student has completed tasks but they are not of an acceptable standard. The student has a high percentage (over 15% of similarity in written assignments)

Assessment criteria, satisfactory (1-2)

The student has completed the tasks with the minimum of set requirements which are outlined by the teacher and are listed in the task instructions. The student has completed tasks later than the given deadlines. The student has not addressed feedback provided by the teacher. The student has been superficially reflecting on his/her own performance and has been late or reluctant to give peer feedback.

Assessment criteria, good (3-4)

The student has completed the tasks well fulfilling most of the set requirements which are outlined by the teachers and are listed in the task instructions. The student has completed tasks within the given deadlines. The student has partly addressed feedback provided by the teacher. The student has been reflecting on his/her own performance and has been giving peer feedback.

Assessment criteria, excellent (5)

The student has completed the tasks very well fulfilling or surpassing the set requirements which are outlined by the teachers and are listed in the task instructions. The student has completed tasks within the given deadlines or earlier and has addressed well feedback provided by the teacher. The student has been critically reflecting on his/her own performance and has been giving quality peer feedback.

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

teacher’s own and web-based material

Teaching methods

teacher-directed classroom activities, independent work, pair work, group work, project work, online activities (quizzes, meetings)

Exam schedules

No exam. There is continuous assessment.

International connections

The contents and the assessed outputs of the course are designed to provide the students with English language communication skills they need in working life especially when working in projects. Examples include producing instructions and reports, organizing physical and online meetings and producing the relevant documents and emails, collaborative writing and presentation of results. In addition, the students have to complete tasks individually, in pairs and as a group which enhances their communication and interpersonal skills. The assessment is continuous and teacher and peer assessment is provided after the completion of each task.
The course deals with the theme of sustainable development in discussing presenting, reading articles about general concepts ( e.g. green IT, energy efficiency), technologies & strategies (such as cloud computing, virtualization); social & ethical issues ( e.g. data privacy, digital divide, inclusive access)

Completion alternatives

A: The student can complete the English Professional Skills B2 (5ECTS) and complete Accreditation of Prior Learning based on Competence (not transfer of credits):
Within two weeks since the course start, the student submits a video and a written report showcasing expertise in oral and written workplace communication and professional communication. The report must include concrete examples of workplace communication (e.g. meetings, negotiations, written reports, instructions, emails, and so on). If the submission fulfills the assessment criteria, the student can attain the credits. If the submission does not meet the criteria, the student joins the course.
B: The student can complete the English Professional Skills B2 (5ECTS) and complete Transfer of Credits within the first two weeks of the course if the student has completed a course with the same credits and similar content at a same level (higher education)) educational institution within the last 5 years. The student will also need to provide an official transcript and course content description. Please note that this method of attainment does not apply to Open Path students

Student workload

classroom activities: 28 h
individual work: 45 h
pairwork work: 30 h
group work: 27h

Content scheduling

September – December 2024
1. Before you start
2. Introducing yourself & studies
3. Emails
4. Presentations
5. Reporting
6. Meetings
7. End of course evaluation

Evaluation scale

H-5

Assessment methods and criteria

The students need to physically attend and complete all the tasks/assignments within the deadlines in order to pass the course because this improves the student's ability to track their own learning, receive continuous feedback, and provide ongoing evidence of their skill development throughout the course.

Assessment criteria, fail (0)

The student has insufficient attendance (has been absent in more than 4 classes). The student has not completed all the tasks. The student has completed tasks but they are not of an acceptable standard. The student has a high percentage (over 15% of similarity in written assignments)

Assessment criteria, satisfactory (1-2)

The student has completed the tasks with the minimum of set requirements which are outlined by the teacher and are listed in the task instructions. The student has completed tasks later than the given deadlines. The student has not addressed feedback provided by the teacher. The student has been superficially reflecting on his/her own performance and has been late or reluctant to give peer feedback.

Assessment criteria, good (3-4)

The student has completed the tasks well fulfilling most of the set requirements which are outlined by the teachers and are listed in the task instructions. The student has completed tasks within the given deadlines. The student has partly addressed feedback provided by the teacher. The student has been reflecting on his/her own performance and has been giving peer feedback.

Assessment criteria, excellent (5)

The student has completed the tasks very well fulfilling or surpassing the set requirements which are outlined by the teachers and are listed in the task instructions. The student has completed tasks within the given deadlines or earlier and has addressed well feedback provided by the teacher. The student has been critically reflecting on his/her own performance and has been giving quality peer feedback.

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

teacher’s own and web-based material

Teaching methods

teacher-directed classroom activities, independent work, pair work, group work, project work, online activities (quizzes, meetings)

Exam schedules

No exam. There is continuous assessment.

International connections

The contents and the assessed outputs of the course are designed to provide the students with English language communication skills they need in working life especially when working in projects. Examples include producing instructions and reports, organizing physical and online meetings and producing the relevant documents and emails, collaborative writing and presentation of results. In addition, the students have to complete tasks individually, in pairs and as a group which enhances their communication and interpersonal skills. The assessment is continuous and teacher and peer assessment is provided after the completion of each task.
The course deals with the theme of sustainable development in discussing presenting, reading articles about general concepts ( e.g. green IT, energy efficiency), technologies & strategies (such as cloud computing, virtualization); social & ethical issues ( e.g. data privacy, digital divide, inclusive access)

Completion alternatives

A: The student can complete the English Professional Skills B2 (5ECTS) and complete Accreditation of Prior Learning based on Competence (not transfer of credits):
Within two weeks since the course start, the student submits a video and a written report showcasing expertise in oral and written workplace communication and professional communication. The report must include concrete examples of workplace communication (e.g. meetings, negotiations, written reports, instructions, emails, and so on). If the submission fulfills the assessment criteria, the student can attain the credits. If the submission does not meet the criteria, the student joins the course.
B: The student can complete the English Professional Skills B2 (5ECTS) and complete Transfer of Credits within the first two weeks of the course if the student has completed a course with the same credits and similar content at a same level (higher education)) educational institution within the last 5 years. The student will also need to provide an official transcript and course content description. Please note that this method of attainment does not apply to Open Path students

Student workload

classroom activities: 28 h
individual work: 45 h
pairwork work: 30 h
group work: 27h

Content scheduling

September – December 2024
1. Before you start
2. Introducing yourself & studies
3. Emails
4. Presentations
5. Reporting
6. Meetings
7. End of course evaluation

Evaluation scale

H-5

Assessment methods and criteria

The students need to physically attend and complete all the tasks/assignments within the deadlines in order to pass the course because this improves the student's ability to track their own learning, receive continuous feedback, and provide ongoing evidence of their skill development throughout the course.

Assessment criteria, fail (0)

The student has insufficient attendance (has been absent in more than 4 classes). The student has not completed all the tasks. The student has completed tasks but they are not of an acceptable standard. The student has a high percentage (over 15% of similarity in written assignments)

Assessment criteria, satisfactory (1-2)

The student has completed the tasks with the minimum of set requirements which are outlined by the teacher and are listed in the task instructions. The student has completed tasks later than the given deadlines. The student has not addressed feedback provided by the teacher. The student has been superficially reflecting on his/her own performance and has been late or reluctant to give peer feedback.

Assessment criteria, good (3-4)

The student has completed the tasks well fulfilling most of the set requirements which are outlined by the teachers and are listed in the task instructions. The student has completed tasks within the given deadlines. The student has partly addressed feedback provided by the teacher. The student has been reflecting on his/her own performance and has been giving peer feedback.

Assessment criteria, excellent (5)

The student has completed the tasks very well fulfilling or surpassing the set requirements which are outlined by the teachers and are listed in the task instructions. The student has completed tasks within the given deadlines or earlier and has addressed well feedback provided by the teacher. The student has been critically reflecting on his/her own performance and has been giving quality peer feedback.

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

teacher’s own and web-based material

Teaching methods

teacher-directed classroom activities, independent work, pair work, group work, project work, online activities (quizzes, meetings)

Exam schedules

No exam. There is continuous assessment.

International connections

The contents and the assessed outputs of the course are designed to provide the students with English language communication skills they need in working life especially when working in projects. Examples include producing instructions and reports, organizing physical and online meetings and producing the relevant documents and emails, collaborative writing and presentation of results. In addition, the students have to complete tasks individually, in pairs and as a group which enhances their communication and interpersonal skills. The assessment is continuous and teacher and peer assessment is provided after the completion of each task.
The course deals with the theme of sustainable development in discussing presenting, reading articles about general concepts ( e.g. green IT, energy efficiency), technologies & strategies (such as cloud computing, virtualization); social & ethical issues ( e.g. data privacy, digital divide, inclusive access)

Completion alternatives

A: The student can complete the English Professional Skills B2 (5ECTS) and complete Accreditation of Prior Learning based on Competence (not transfer of credits):
Within two weeks since the course start, the student submits a video and a written report showcasing expertise in oral and written workplace communication and professional communication. The report must include concrete examples of workplace communication (e.g. meetings, negotiations, written reports, instructions, emails, and so on). If the submission fulfills the assessment criteria, the student can attain the credits. If the submission does not meet the criteria, the student joins the course.
B: The student can complete the English Professional Skills B2 (5ECTS) and complete Transfer of Credits within the first two weeks of the course if the student has completed a course with the same credits and similar content at a same level (higher education)) educational institution within the last 5 years. The student will also need to provide an official transcript and course content description. Please note that this method of attainment does not apply to Open Path students

Student workload

classroom activities: 28 h
individual work: 45 h
pairwork work: 30 h
group work: 27h

Content scheduling

January – April 2025
1. Before you start
2. Introducing yourself & studies
3. Emails
4. Presentations
5. Reporting
6. Meetings
7. End of course evaluation

Evaluation scale

H-5

Assessment methods and criteria

The students need to physically attend and complete all the tasks/assignments within the deadlines in order to pass the course because this improves the student's ability to track their own learning, receive continuous feedback, and provide ongoing evidence of their skill development throughout the course.

Assessment criteria, fail (0)

The student has insufficient attendance (has been absent in more than 4 classes). The student has not completed all the tasks. The student has completed tasks but they are not of an acceptable standard. The student has a high percentage (over 15% of similarity in written assignments)

Assessment criteria, satisfactory (1-2)

The student has completed the tasks with the minimum of set requirements which are outlined by the teacher and are listed in the task instructions. The student has completed tasks later than the given deadlines. The student has not addressed feedback provided by the teacher. The student has been superficially reflecting on his/her own performance and has been late or reluctant to give peer feedback.

Assessment criteria, good (3-4)

The student has completed the tasks well fulfilling most of the set requirements which are outlined by the teachers and are listed in the task instructions. The student has completed tasks within the given deadlines. The student has partly addressed feedback provided by the teacher. The student has been reflecting on his/her own performance and has been giving peer feedback.

Assessment criteria, excellent (5)

The student has completed the tasks very well fulfilling or surpassing the set requirements which are outlined by the teachers and are listed in the task instructions. The student has completed tasks within the given deadlines or earlier and has addressed well feedback provided by the teacher. The student has been critically reflecting on his/her own performance and has been giving quality peer feedback.

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 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

H-5

Qualifications

Basic Practice

Objective

The objective of the course is to give the student basic knowledge in Finnish language at the CEFR level A1.3
The student is able to use most important expressions in common everyday situations.

Content

After passing the course the student is able to
- Tell about his or her life, hobbies and studies orally and in writing
- Manage in discussions about everyday situations
- To ask questions, make suggestions and requests as well as denials
- To read short texts and gain information from e.g. instructions and schedules.

Materials

Material and links provided by teacher in Itslearning course platform
Book: Gehring, Sonja & Heinzmann, Sanni. 2023. Suomen mestari 1 Uudistettu — Suomen kielen oppikirja aikuisille. Otava.

Teaching methods

Task-based, group work, pair work, independent work at home.

Exam schedules

Follow the deadlines for the assignments given.

International connections

Working on the contact lessons at campus in groups and independently, practising in Itslearning, cultural sustainability.

Student workload

Written and oral exercises in class and independently at home.
3 tasks to be assessed: vocabulary task, oral task and written task.
5 credits means about 130 hours of student work, including lessons and independent work.

Content scheduling

The aim of the course is to learn basic knowledge of Finnish, focusing on the student´s practical language of everyday life and student's own study field. The aim of the course is to learn basic knowledge in Finnish language at the CEFR level A1.2.

The course consists lessons at Kupittaa campus. In addition, students must study the language independently in order to reach the target language level A1.2.


After passing the course you are able to use most important expressions in common everyday situations and you can

- tell about your life and studies orally and in writing
- manage short phrases and discussions in everyday situations
- understand some basic structures in Finnish language
- ask simple questions and answer them

Lessons at Kupittaa campus - see the schedule.

Evaluation scale

H-5

Assessment methods and criteria

During the course, the student's oral and written language skills are evaluated.
The grade will be based on the homework and classwork completed on time and on the tasks to be evaluated. Evaluated assignments will be evaluated 0–3 points. From homework and classwork student can have 0–3 points to the final grade.

Course grade
Points from assignments

0
0–3 p.

1
4–5 p.

2
6 p.

3
7–8 p.

4
9–10 p.

5
11–12 p.

Objective

The objective of the course is to give the student basic knowledge in Finnish language at the CEFR level A1.3
The student is able to use most important expressions in common everyday situations.

Content

After passing the course the student is able to
- Tell about his or her life, hobbies and studies orally and in writing
- Manage in discussions about everyday situations
- To ask questions, make suggestions and requests as well as denials
- To read short texts and gain information from e.g. instructions and schedules.

Materials

Material and links provided by teacher in Itslearning course platform
Book: Gehring, Sonja & Heinzmann, Sanni. 2023. Suomen mestari 1 Uudistettu — Suomen kielen oppikirja aikuisille. Otava.

Teaching methods

Task-based, group work, pair work, independent work at home.

Exam schedules

Follow the deadlines for the assignments given.

International connections

Working on the contact lessons at campus in groups and independently, practising in Itslearning, cultural sustainability.

Student workload

Written and oral exercises in class and independently at home.
3 tasks to be assessed: vocabulary task, oral task and written task.
5 credits means about 130 hours of student work, including lessons and independent work.

Content scheduling

The aim of the course is to learn basic knowledge of Finnish, focusing on the student´s practical language of everyday life and student's own study field. The aim of the course is to learn basic knowledge in Finnish language at the CEFR level A1.2.

The course consists lessons at Kupittaa campus. In addition, students must study the language independently in order to reach the target language level A1.2.


After passing the course you are able to use most important expressions in common everyday situations and you can

- tell about your life and studies orally and in writing
- manage short phrases and discussions in everyday situations
- understand some basic structures in Finnish language
- ask simple questions and answer them

Lessons at Kupittaa campus - see the schedule.

Evaluation scale

H-5

Assessment methods and criteria

During the course, the student's oral and written language skills are evaluated.
The grade will be based on the homework and classwork completed on time and on the tasks to be evaluated. Evaluated assignments will be evaluated 0–3 points. From homework and classwork student can have 0–3 points to the final grade.

Course grade
Points from assignments

0
0–3 p.

1
4–5 p.

2
6 p.

3
7–8 p.

4
9–10 p.

5
11–12 p.

Objective

The objective of the course is to give the student basic knowledge in Finnish language at the CEFR level A1.3
The student is able to use most important expressions in common everyday situations.

Content

After passing the course the student is able to
- Tell about his or her life, hobbies and studies orally and in writing
- Manage in discussions about everyday situations
- To ask questions, make suggestions and requests as well as denials
- To read short texts and gain information from e.g. instructions and schedules.

Materials

Material and links provided by teacher in Itslearning course platform
Book: Gehring, Sonja & Heinzmann, Sanni. 2023. Suomen mestari 1 Uudistettu — Suomen kielen oppikirja aikuisille. Otava.

Teaching methods

Task-based, group work, pair work, independent work at home.

Exam schedules

Follow the deadlines for the assignments given.

International connections

Working on the contact lessons at campus in groups and independently, practising in Itslearning, cultural sustainability.

Student workload

Written and oral exercises in class and independently at home.
3 tasks to be assessed: vocabulary task, oral task and written task.
5 credits means about 130 hours of student work, including lessons and independent work.

Content scheduling

The aim of the course is to learn basic knowledge of Finnish, focusing on the student´s practical language of everyday life and student's own study field. The aim of the course is to learn basic knowledge in Finnish language at the CEFR level A1.2.

The course consists lessons at Kupittaa campus. In addition, students must study the language independently in order to reach the target language level A1.2.


After passing the course you are able to use most important expressions in common everyday situations and you can

- tell about your life and studies orally and in writing
- manage short phrases and discussions in everyday situations
- understand some basic structures in Finnish language
- ask simple questions and answer them

Lessons at Kupittaa campus - see the schedule.

Evaluation scale

H-5

Assessment methods and criteria

During the course, the student's oral and written language skills are evaluated.
The grade will be based on the homework and classwork completed on time and on the tasks to be evaluated. Evaluated assignments will be evaluated 0–3 points. From homework and classwork student can have 0–3 points to the final grade.

Course grade
Points from assignments

0
0–3 p.

1
4–5 p.

2
6 p.

3
7–8 p.

4
9–10 p.

5
11–12 p.

Objective

The objective of the course is to give the student basic knowledge in Finnish language at the CEFR level A1.3
The student is able to use most important expressions in common everyday situations.

Content

After passing the course the student is able to
- Tell about his or her life, hobbies and studies orally and in writing
- Manage in discussions about everyday situations
- To ask questions, make suggestions and requests as well as denials
- To read short texts and gain information from e.g. instructions and schedules.

Materials

LEARNING MATERIAL - THE STUDY BOOK:
Gehring, S. & Heinzmann, S. (2023). SUOMEN MESTARI 1. Suomen kielen oppikirja aikuisille. 6. painos. Helsinki: Finn Lectura.

https://finnlectura.fi/oppimateriaalit/suomi-toisena-kielena/suomen-mestari/uudistettu-suomen-mestari-1/

ALSO
- material online and material provided by the teacher
- material by the students

Other material and links provided by teacher in itslearning course platform

Teaching methods

To have a significant track or trace of the learned material, you should use the language in real life. That is why it is important to use the Finnish language also outside of the lessons

Exam schedules

To pass the course, you should

- follow the deadlines given for the assignments
- participate actively on the lessons
- pass the Oral Exam (level A1.2)

International connections

Working on the lessons at campus, online, in itslearning, in groups and independently.

Innopeda learning methods (learning by doing)

Student workload

Estimated time used:

• active attending in the lessons at campus
• exams
• written assignments
• work independently

Totally approx.135 h of work for the student

Content scheduling

The aim of the course is to learn basic knowledge of Finnish, focusing on the student´s practical language of everyday life and student's own study field.

The course consists of thirteen lessons, starting in January 2025, distance learning, assignments in the learning platform itslearning, and an oral exam. You will find the instructions for distance work and assignments in itslearning.

The aim of the course is to learn basic knowledge in Finnish language at the CEFR level A1.2.

You are able to use most important expressions in common everyday situations. After passing the course you are able to

- tell about your life, hobbies and studies orally and in writing
- manage short phrases and discussions in everyday situations
- understand some basic structures in Finnish language
- ask simple questions and answer them

Lessons at Kupittaa campus - see the schedule.
No lesson week 42

Further information

ann-katrin.tyni-nummelin@turkuamk.fi

Evaluation scale

H-5

Assessment methods and criteria

Evaluation scale: 0 - 5.

Evaluation criteria will be presented in itslearning workspace. Only the assignments submitted by the deadline have the possibility to be graded with the highest grade.

In order to get a grade, you should have all the assignments done and submitted. Attendance on min. of 80 % of the lessons is required.

In the final ‘EXAM’ you should be able to answer correctly to at least 50% of the questions / exercises – the more correct your language skills are, the higher grade (1 – 5) you’ll get for the course.

Objective

The objective of the course is to give the student basic knowledge in Finnish language at the CEFR level A1.3
The student is able to use most important expressions in common everyday situations.

Content

After passing the course the student is able to
- Tell about his or her life, hobbies and studies orally and in writing
- Manage in discussions about everyday situations
- To ask questions, make suggestions and requests as well as denials
- To read short texts and gain information from e.g. instructions and schedules.

Materials

LEARNING MATERIAL - THE STUDY BOOK:
Gehring, S. & Heinzmann, S. (2023). SUOMEN MESTARI 1. Suomen kielen oppikirja aikuisille. 6. painos. Helsinki: Finn Lectura.

https://finnlectura.fi/oppimateriaalit/suomi-toisena-kielena/suomen-mestari/uudistettu-suomen-mestari-1/

ALSO
- material online and material provided by the teacher
- material by the students

Other material and links provided by teacher in itslearning course platform

Teaching methods

To have a significant track or trace of the learned material, you should use the language in real life. That is why it is important to use the Finnish language also outside of the lessons

Exam schedules

To pass the course, you should

- follow the deadlines given for the assignments
- participate actively on the lessons
- pass the Oral Exam (level A1.2)

International connections

Working on the lessons at campus, online, in itslearning, in groups and independently.

Innopeda learning methods (learning by doing)

Student workload

Estimated time used:

• active attending in the lessons at campus
• exams
• written assignments
• work independently

Totally approx.135 h of work for the student

Content scheduling

The aim of the course is to learn basic knowledge of Finnish, focusing on the student´s practical language of everyday life and student's own study field.

The course consists of thirteen lessons, starting in January 2025, distance learning, assignments in the learning platform itslearning, and an oral exam. You will find the instructions for distance work and assignments in itslearning.

The aim of the course is to learn basic knowledge in Finnish language at the CEFR level A1.2.

You are able to use most important expressions in common everyday situations. After passing the course you are able to

- tell about your life, hobbies and studies orally and in writing
- manage short phrases and discussions in everyday situations
- understand some basic structures in Finnish language
- ask simple questions and answer them

Lessons at Kupittaa campus - see the schedule.
No lesson week 42

Further information

ann-katrin.tyni-nummelin@turkuamk.fi

Evaluation scale

H-5

Assessment methods and criteria

Evaluation scale: 0 - 5.

Evaluation criteria will be presented in itslearning workspace. Only the assignments submitted by the deadline have the possibility to be graded with the highest grade.

In order to get a grade, you should have all the assignments done and submitted. Attendance on min. of 80 % of the lessons is required.

In the final ‘EXAM’ you should be able to answer correctly to at least 50% of the questions / exercises – the more correct your language skills are, the higher grade (1 – 5) you’ll get for the course.

Objective

The objective of the course is to give the student basic knowledge in Finnish language at the CEFR level A1.3
The student is able to use most important expressions in common everyday situations.

Content

After passing the course the student is able to
- Tell about his or her life, hobbies and studies orally and in writing
- Manage in discussions about everyday situations
- To ask questions, make suggestions and requests as well as denials
- To read short texts and gain information from e.g. instructions and schedules.

Materials

LEARNING MATERIAL - THE STUDY BOOK:
Gehring, S. & Heinzmann, S. (2023). SUOMEN MESTARI 1. Suomen kielen oppikirja aikuisille. 6. painos. Helsinki: Finn Lectura.

https://finnlectura.fi/oppimateriaalit/suomi-toisena-kielena/suomen-mestari/uudistettu-suomen-mestari-1/

ALSO
- material online and material provided by the teacher
- material by the students

Other material and links provided by teacher in itslearning course platform

Teaching methods

To have a significant track or trace of the learned material, you should use the language in real life. That is why it is important to use the Finnish language also outside of the lessons

Exam schedules

To pass the course, you should

- follow the deadlines given for the assignments
- participate actively on the lessons
- pass the Oral Exam (level A1.2)

International connections

Working on the lessons at campus, online, in itslearning, in groups and independently.

Innopeda learning methods (learning by doing)

Student workload

Estimated time used:

• active attending in the lessons at campus
• exams
• written assignments
• work independently

Totally approx.135 h of work for the student

Content scheduling

The aim of the course is to learn basic knowledge of Finnish, focusing on the student´s practical language of everyday life and student's own study field.

The course consists of thirteen lessons, starting in January 2025, distance learning, assignments in the learning platform itslearning, and an oral exam. You will find the instructions for distance work and assignments in itslearning.

The aim of the course is to learn basic knowledge in Finnish language at the CEFR level A1.2.

You are able to use most important expressions in common everyday situations. After passing the course you are able to

- tell about your life, hobbies and studies orally and in writing
- manage short phrases and discussions in everyday situations
- understand some basic structures in Finnish language
- ask simple questions and answer them

Lessons at Kupittaa campus - see the schedule.
No lesson week 42

Further information

ann-katrin.tyni-nummelin@turkuamk.fi

Evaluation scale

H-5

Assessment methods and criteria

Evaluation scale: 0 - 5.

Evaluation criteria will be presented in itslearning workspace. Only the assignments submitted by the deadline have the possibility to be graded with the highest grade.

In order to get a grade, you should have all the assignments done and submitted. Attendance on min. of 80 % of the lessons is required.

In the final ‘EXAM’ you should be able to answer correctly to at least 50% of the questions / exercises – the more correct your language skills are, the higher grade (1 – 5) you’ll get for the course.

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.

Materials

Digital material shared in ItsLearning

Teaching methods

Active attendance at contact sessions
Lecture activities and assignments

Exam schedules

-

International connections

Course relies on active and regular participation in contact sessions.

All materials of this course are digital. In addition, student activity is monitored with online tools to reduce the carbon footprint caused by travel.

Completion alternatives

-

Student workload

Contact lessons:
- tutoring sessions 3 x 1h = 3h
- info sessions 4 x 1h = 4h
- lectures 6 x 2h = 12h

In addition, individual work: 63h

TOTAL: 18h + 63h = 81h

Assessment criteria, approved/failed

The final assessment of the course is based on:
1. active and regular participation in contact sessions: presence in at least 9 contact sessions
2. assignments given in contact sessions returned in time and they are acceptable: at least 2 weekly tasks and 2 lecture tasks must be submitted

In addition, student must write a report about recruitment fair / guest lecture

All requirements must be fulfilled to pass the course.

Content scheduling

The student receives information about the curriculum, study and support opportunities, and the necessary study skills.

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.

Further information

ITS

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

1. Active attendance
2. Assignment submission in time

Qualifications

None.

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.

Materials

Digital material shared in ItsLearning

Teaching methods

Active attendance at contact sessions
Lecture activities and assignments

Exam schedules

-

International connections

Course relies on active and regular participation in contact sessions.

All materials of this course are digital. In addition, student activity is monitored with online tools to reduce the carbon footprint caused by travel.

Completion alternatives

-

Student workload

Contact lessons:
- tutoring sessions 3 x 1h = 3h
- info sessions 4 x 1h = 4h
- lectures 6 x 2h = 12h

In addition, individual work: 63h

TOTAL: 18h + 63h = 81h

Assessment criteria, approved/failed

The final assessment of the course is based on:
1. active and regular participation in contact sessions: presence in at least 9 contact sessions
2. assignments given in contact sessions returned in time and they are acceptable: at least 2 weekly tasks and 2 lecture tasks must be submitted

In addition, student must write a report about recruitment fair / guest lecture

All requirements must be fulfilled to pass the course.

Content scheduling

The student receives information about the curriculum, study and support opportunities, and the necessary study skills.

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.

Practical Training (Basic, Field-Specific and Professional) is started with possibility to demonstrate of previous work experience.

Further information

ITS

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

1. Active attendance
2. Assignment submission in time

Qualifications

None.

Objective

After completing the module, the student will be able to:
- Demonstrate their understanding the various dimensions (physical, temporal, environmental and emotional) that describe a game world by making use of an appropriate terrain editor to create a limited game world
- Develop a game narrative with scripted dialog for a given game idea or concept
- Understand and manage the complexities of game interface design
- Define core mechanics and explain their role in creating an entertainment experience
- Map out the level design and game balancing process and show an awareness of problems that need to be avoided in the level design process
- Incorporate visual, behavioural and audible character attributes in order to create a compelling and believable character with an industry recognised modelling tool

Content

- Game standard terrain editor
- Creative writing and dialog design tools
- Industry standard processes for designing user interfaces
- Design principles for level and game balancing layouts
- Character design principles and appropriate game art tools

Materials

Unity - Create with Code
https://learn.unity.com/course/create-with-code

Teaching methods

The course will be delivered through onsite sessions at Campus and the core learning will take place in a tutorial fashion.

Although peer-assisted learning is encouraged, students are expected to produce individual deliverable (in other words, no group work).

The course will be using Itslearning as the learning platform and teaching sessions will held in the campus.
Each Tuesday Support is available during the laboratory hours and the student's progress is monitored on weekly base.

Exam schedules

No exam dates;
This course does not have any retake possibilities. Failing the course means that students will have to repeat it the following year.

Students will be required to present their game projects in 3 milestones:
26.09.2023 - Concept project design document presentation of personal project and peer evaluation
07.11.2023 - Prototype presentation of personal project and peer evaluation
12.12.2023 - Final game presentation and peer evaluation

The concept presentations are for monitoring student progress and used as the basis of formative feedback. If you miss this milestone, one grade point will be deducted from the final grade.

The final game presentation is mandatory - failure to present this will cause the student to fail the course

International connections

This course leans on CDIO principles and takes a project-based learning approach.

Completion alternatives

Competence demonstration, ff you have experience from industry or experience that is compatible with the course content. Discuss with the lecturer to arrange the demonstration.

Student workload

This course requires students to work 135 hours and is divided as follows:
- Contact sessions and presentations: 20 to 30 hours
- Independent tutorial work: 40 to 50 hours
- Developing your own game: 60 to 70 hours
All course work is individual

Students will be required to present their game projects in 3 milestones:
24.09.2024 - Concept project design document presentation of personal project and peer evaluation
05.11.2024 - Prototype presentation of personal project and peer evaluation
10.12.2024 - Final game presentation and peer evaluation

The concept presentations are for monitoring student progress and used as the basis of formative feedback. If you miss this milestone, one grade point will be deducted from the final grade.

The final game presentation is mandatory - failure to present this will cause the student to fail the course.

Content scheduling

This course is based on the Online material "Create with Code" presented by Unity. Each week will contain onsite supporting lectures for each week topic and contemporary game technologies and game industry news.
70% mandatory participation for lectures and lab sessions.

Students will be expected to work through the material according to the following schedule:
- 03.09.2024: Course introduction and Setting up Unity
- 10.09.2024.Create with Code...Unit 1
- 17.09.2024: Create with Code...Unit 2
- 24.09.2024: Concept presentation of personal project, peer evaluation
- 01.10.2024: Create with Code...Unit 3
- 08.10.2024: Create with Code...Unit 4
- 15.10.2024: Independent work on your personal project
- 22.10.2024: Create with Code...Unit 5
- 29.10.2024: Create with Code...Unit 6
- 5.11.2024: Prototype presentation of personal project. Peer evaluation.
- 12.11.2024: Jami's lecture on X
- 19.11.2024: Jami's lecture on Y
- 26.11.2024: Independent work on your game
- 03.12.2024: Finalize your game
- 10.12.2024: Final game presentations

Further information

Course lecturers will be present onsite every week during the allocated timetable slot.
The first 30-60 minutes of each session will be used to:
- Share game industry news
- Highlight some of the latest development trends and technologies
- Open more topics from Create With Code and Unity Learn
- Introduce and Demonstrate tools that can help develop content for your personal project
- Respond to general student queries

The remaining time of each session will be an opportunity for students to work on their own games and seeking assistance and support from the lecturer.

Lecturers will review student progress with the Unity tutorial work on a weekly basis.

Evaluation scale

H-5

Assessment methods and criteria

The game project is evaluated as follows:
- Lecturer overall impression of the game (H-5);
- Peer evaluation of the game (H-5).
The combination of these will give the final grade for the course.

Missing the concept or prototype presentation will result in the deduction of 1 grade point from the final grade.

Attending more than 75% of the onsite sessions will result in positively to the final grade.

Assessment criteria, fail (0)

Failure to produce and present the final game will cause the student to fail the course.

Participating in less than 70% of the onsite sessions will cause the student to fail the course.

Assessment criteria, satisfactory (1-2)

- Project contains a few of the features outlined in the project plan
- Did not really stay on track with their planned milestones
- Did not use their Unity or C# skills in any new ways
- Code and hierarchy are disorganized, using inconsistent conventions

Assessment criteria, good (3-4)

- Project contains most of the features outlined in the project plan
- Stayed mostly on track with their planned milestones
- Used their Unity and/or C# skills in new, but not necessarily creative ways
- Code and hierarchy are mostly neat & commented, using correct conventions

Assessment criteria, excellent (5)

- Project contains all of the features outlined in the project plan
- Stayed on track with their planned milestones
- Used their Unity and/or C# skills in a novel and creative ways
- Code and hierarchy are neat & commented, using correct conventions

Objective

After completing the module, the student will be able to:
- Describe a 2D Cartesian coordinate space and how to locate points using that space and extend these ideas into 3D
- Calculate vectors and use them in games
- Describe some basic concepts of image and video processing and compression
- Calculate matrices and use them in games
- Learn about linear transformations (such as translations, scaling, skewing, and rotations) and multilinear transformations (including rotations about an arbitrary axis)
- Calculate algorithmic (Kolmogorov) complexity and understand how this is related to game performance

Content

- Cartesian Coordinate Systems
- Vectors
- Multiple Coordinate Spaces
- Matrices & Linear Transforms
- Polar Coordinate Systems
- Rotation
- Geometric Primitives
- Algorithmic complexity

Materials

1. Mathematics For Game Developers, Christopher Tremblay
2. Essential Mathematics for Games & Interactive Applications, James M.Van Verth and Lars M. Bishop

Teaching methods

Teacher-directed classroom activities, group work and independent work; project work, reports, task-based (homework)

International connections

The contents of the course give understanding of the basic gaming and graphical tools, and attempt to provide students with a conceptual understanding of the mathematics needed to create games, as well as an understanding of how these mathematical bases actually apply to games and graphics that are essential in the operating environment of an ICT engineer, such as game development and graphical designing.
The students will team up for a project work and writing reports on some current and relevant aspect of game math. The teams then present their work to the whole group, which gives everyone an opportunity to understand the topic; all students will develop their mathematical proficiency. In this way, all students will have the opportunity to view themselves as powerful learners of game mathematics.
Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration

Student workload

Classroom activities: Classroom activities participation 50 h
Homework: Working on homework sets 1-6 25 h
Project work: Research, writing report + presentation material, presentation 30 h
Final exam: Preparing for the final exam 25 h

Content scheduling

September – December 2024.
9/24 - 11/24: theory, homework
10/24 - 11/24: project work +reports
12/24: final exam Or Report
• Cartesian Coordinate Systems
• Vectors
• Multiple Coordinate Spaces
• Matrices
• Matrices & Linear Transforms
• More on Matrices
• Polar Coordinate Systems
• Rotation
• Geometric Primitives

Further information

All practical information on timetables, project work, grading etc., as well as links to web materials are provided in Optima.

Evaluation scale

H-5

Assessment methods and criteria

Homework sets 1-6: 30 %
-Total of thirty homework exercises based on reading material and classroom notes
-Diagnostic/formative self / teacher evaluation in connection with each homework set return session
Project work, reports, presentations: 40 %
-Each outcome of the project work is assessed independently (assessment criteria is specified in Optima)
-Peer feedback summative teacher feedback at the end of the course
Final exam: 30 %
-A written exam (1,5 hrs) on specified material
-Summative teacher evaluation at the end of the course

Objective

After completing the course the student can
- use discrete time in programming
- use physics theories in programming
- simulate practical and mechanical problems by programming
- construct and implement efficient algorithms of the topics above for game purposes

Content

- Algorithmics with focus on algorithm design and algorithm analysis
- Time in programming
- Kinematics and rotational motion
- Forces causing movement
- Collisions
- Using simulations in programming

Materials

Given by teacher every monday, but in case, any book/video related to game physics

Teaching methods

The course includes: 1) a lecture on mondays, where the weekly scope and the necessary theory or fundamentals are explained, 2) a workshop on thursdays where the students present their progress, 3) own-work to develop and improve software development skills.

Exam schedules

There are no exams in this course. Evaluation is based on weekly work and final work. See Assessment info.

International connections

The courser is very practical, i.e., the students creates every week they own projects according to the scope of the week and their own development goals.
Fundamentally, they need to Analyze -> think -> work -> solve -> show

Completion alternatives

Teacher will provide powerpoints, video materials, and in some cases code

Student workload

Between 21 October 2024 (Week 43) and 16th December 2024 (Week 51)
ATTENTION: Final dates published in ItsLearning. Always check ItsLearning!

Mondays from 9:00 to 12:00 in Auditorium. Class is face to face
Tuesdays. 4 hours own work
Wednesdays: 4 hours own work
Thursdays: from 9:00 to 12:00 in room C3031
Fridays: 4 hours own work

The used hours are approximately 135 which is equivalent to 5 ECTs

Content scheduling

The course starts on 21st October at 9:00, it ends on 16.12., and it is divided in 7 blocks.
The blocks and their corresponding goals are:

1.Tools
Learn basics related to the use of Unity to solve Physics in games
Understand connection between UI and hardcore coding

2. Cinematics
Use elemental physics equaltions to model different types of objects motion
Learn verification methods to test the correctness of the solution

3. Collisions
Understand frequent algorithms applied for collisions and avoidance of tunneling effect
Learn about changes of trayectories and velocities using collision principles

4. Sniper
Improve knowledge on projectile trayectories when considering physical effects like air resistance and air drag
Learn to use databases and second order equation fitting to empirical data

5. Acoustics
Learn basics of sound propagation and transmission in open and close spaces
Learn tools for immersive 3D-audio modelling in Unity

6. Fluids
Understand basics about smoke and flames propagation
Learn the use of shaders and other modelling tools for visually appealing representation of flames and smoke

7. Demo
Improve oral and visual presentation skills when pitching your game/demo

Further information

Monday and Thursday classes are mandatory!

Evaluation scale

H-5

Assessment methods and criteria

The course presents to the students six topics of physics applied in games. Each week the student has to do a game-demo related to the topic and a 3 minute long video explaining the parts of the project and the final outlook.
Each video will be evaluated by the teacher(s), who will grade the video according to 8 qualities (Goal, Physics Methods, Programming Methods, Data Visualization, Originality of approach, Quality of implementation, Visual outlook, Overall). Each quality is graded from from 0 to 5 points, and the average is calculated.

Final video counts 20 % of final grade. Missing the final video is 1 point penalty from final grade. Deadline Sunday 15th December 23:59
6 weekly videos = 60 % (each 10 %). Missing the video by deadline is 0.5 points penalty from final grade. Deadline on following Sunday at 23:59
Self-evaluation = 10 % of weekly videos
Peer-evaluation = 10 % of weekly videos

Each student should grade 5 videos every week, by following Sunday after deadline. Not watching and grading videos implies to loose the points achieved by self-evaluation and peer-evaluation.

Mostly all the students pass this course, as it doesn't have exam and it is based on the work done during 7 weeks.

Assessment criteria, fail (0)

Less than 1 point = Fail

Assessment criteria, satisfactory (1-2)

Between 1 and 1.79 points = 1
Between 1.8 and 2.59 points = 2

Assessment criteria, good (3-4)

Between 2.6 and 3.39 points = 3
Between 3.4 and 4.19 points = 4

Assessment criteria, excellent (5)

More than 4.2 points = 5

Objective

After completing the course the student is able:
- to work efficiently in game testing projects which are executed in a close cooperation with local industry
- to apply game testing techniques systematically
- to design, implement, and document game testing from quality assurance perspective
- to design, implement, and document game testing from usability perspective
- to apply devices used in user tests, and to work efficiently in experiments

Content

- Ddesigning game tests and identifying test requirements
- Game testing techniques
- Analysing game testing results
- Methods in user tests and usability evaluation
- Game testing project as a group work for local industry
- Participating usability test project

Materials

The Quality Assurance topic of the course follows several chapters of the book:
Levy, L., & Novak, J. (2009). Game development essentials: Game QA & testing. Cengage Learning.

Due to the ongoing developments in the field of Game Testing, recommended additional literature will be provided as part of the lecture material at the appropriate timing. This ensures that students are kept abreast with the latest testing techniques and trends.

Teaching methods

Learning on this course combines instructivist (20-25%), constructivist (50%) and connectivist (25-30%) learning methods, implying that students will receive instruction during contact sessions while also being responsible for their own development in the field of game testing. Students will have group assignments, where peer-assisted learning will be encouraged through various e-communication channels.

This course is a collaboration with the University of Turku and we will use the Moodle learning platform. The shortcut to the moodle page is:
http://bit.ly/gtst2024 - it will be activated in time for the course start

Students are able to access Moodle using their Haka accounts (TUAS account credentials).

Exam schedules

This course has no formal exam.

International connections

This course leans on CDIO principles and takes a project-based learning approach.

Student workload

The course is managed online via the Moodle learning platform. During the contact sessions, students will receive instructions on how to complete the respective study section for that topic.

ALL contact sessions are onsite at TUAS premises.

All study material will be available online.

This course is 5 ECTS - students are expected to work 135 hours:
- Contact sessions (10 to 20 hours)
- Independent reading and research (25 to 35 hours)
- Practical experiential learning (80 to 100 hours) - this includes time for doing assignments

Content scheduling

The course is divided into three main topics and scheduled in phases (the sequence of the phases may vary from year to year):
PHASE 1
Effectiveness testing of an existing application
Active participation as test participants in an ongoing RDI project with the Futuristic Interactive Technologies research group

PHASE 2
User-centered testing with two sub-parts, namely:
- Usability testing
- User experience testing

PHASE 3
Quality assurance testing (bug hunting) with three sub-parts, namely:
- Tester skillsets
- Getting to know what bugs there are
- Elite bug hunting

Further information

This course is a collaboration with the University of Turku and we will use the Moodle learning platform. The shortcut to the moodle page is:
http://bit.ly/gtst2024 - it will be activated in time for the course start

Students are able to access Moodle using their Haka accounts (TUAS account credentials).

Students can also reserve support with the lecturer or time for practical work at the Game Lab.

Evaluation scale

H-5

Assessment methods and criteria

There are 4 main assignments that should be completed at the conclusion of each respective topic:
Quality assurance (group assignment)
Usability testing (individual assignment)
User experience testing (individual assignment)
Effectiveness study (group assignment)

The course includes 5 online quizzes that must be completed:
Tester skillsets
Getting to know what bugs there are
Elite bug hunting
Usability
User experience testing

The course includes 12 formative tasks scattered throughout the various topics.

All assignments and quizzes are transposed to a grade out of 5
Course grade is calculated as follows:
(Average of main assignments x 0,75) + (Average of online quizzes x 0,25)

The formative tasks are used to monitor student progress and no grade will be released until all formative tasks are complete and submitted.

All tasks will be submitted through the LMS.

Assessment criteria, fail (0)

All tasks are mandatory for a successful completion of the course. Any outstanding tasks will result in course grades being withheld from the respective students.

Objective

After completing the course, the student will be able to:
- Engage in theoretical discussions about games that are not only for entertainment
- Apply known success factors of serious games to the design and development of a serious game
- Describe and implement a serious game as part of a learning environment
- Apply a basic understanding of human motivation to the design of solutions aimed at increased user engagement with underlying business processes
- Build and implement solutions for increased user engagement with underlying business processes
- Evaluate the effectiveness of serious games and gamification solutions

Content

- Serious game development frameworks
- Gamification development frameworks
- The psychology of learning and how this relates to serious game development
- Academic literature that highlights and explains human motivation as the basis for gamification
- Various game design and game development tools
- Evaluation techniques and methodologies for evaluating serious games and gamification solutions

Materials

Due to the ongoing developments in the field of Game Testing, recommended literature and further resources will be provided as part of the lecture material at the appropriate timing. This ensures that students are kept abreast with the latest testing techniques and trends.

Teaching methods

The course has two phases - an online phase and contact phase. Explicit details for each will be given during the first lecture, which is a contact session.

Exam schedules

This course has no formal exam.

International connections

This course leans on CDIO principles and takes a project-based learning approach.

Student workload

The course has two phases - an online phase and contact phase. Explicit details for each will be given during the first lecture, which is a contact session.

This course is 5 ECTS - students are expected to work 135 hours
- 30% individual theory work
- 70% group project work

Assessment criteria, approved/failed

The group project grade will be the course grade. The group project is graded out of 5 against a rubric that will be made available to students during the course.

Grades will be withheld from students who do not fully complete the requirements as stipulated through the collaborative learning platform.

Content scheduling

This course covers the following topics related to Serious Games and Gamification:
- Theory of Gamification
- Theory of Serious Games
- Theory of learning and motivation
- Workflow of a gamification or serious games project
- Ethics of serious games and gamification

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

The first phase of the course requires students to complete online activities in the collaborative learning environment. Their progress is tracked through the platform and a student dashboard will indicate the completion status to the students.

Students are expected to present their group project at the end of the course. The group project is active throughout the duration of the course.

Assessment criteria, fail (0)

If a group does not deliver a group project at the end of the course, the group will be interviewed and the causes of non-delivery will determine the course outcome for the students of that group.

Students who do not complete all the online activities required in the first phase will fail the course.

Objective

Deepening knowledge of ICT project work and the most used methods and technologies of software projects.

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 spring semester 2025.

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 (14x3h), assignments and self-study (91 hours), small group meetings (in total of 2 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 108 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 enhances project work skills in the ICT field, as well as deepening knowledge of various ICT-related topics.

Students will collaborate on customer projects related to ICT sector. These projects help develop students’ professional skills, including technical abilities, teamwork, communication, time management, professional attitude, responsibility, and problem-solving.

Project teams are typically international, and the primary language of communication is usually English. This fosters students’ abilities in 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:
Each assignment is evaluated on a scale of 0-30 points.
Therefore, the maximum number of points from the assignments are 180.
Late submission for the assignments will result in 50% reduction in points.

Additionally, the course includes guest lectures, for which the studenta are required to write a report. The report is evaluated on a scale of 0 – 30 points.

Attendance at theory lectures and small group meetings is recorded. The first and last lectures award students 3 points each, while other lectures and small group meetings are worth 2 points each. In total, there are 40 points for attendance.

Altogether students can earn a maximum of 250 points. These points are evaluated as follows:
Fail: 0 – 74 points
grade 1: 75 – 112 points
grade 2: 113 – 149 points
grade 3: 150 – 187 points
grade 4: 188 – 224 points
grade 5: 225 – 250 points.

Project work:
The students are required to work on the project for a total of 108 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 feedback (if available), and project manager feedback.

Completing all required hours equals 108 points; every 15 hours missed results in a one grade-point reduction from the student's evaluation.

The final grade of the course is weighted average:
- Assignments, attendance, and the guest lecture report 60%
- Project work (evaluation based on self- and peer assessment) and project hours 40%

Accepted grade cannot be raised.

Assessment criteria, fail (0)

Less than 75 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 the theory part and the project work part to complete the course.

Assessment criteria, satisfactory (1-2)

Grade 1: under 113 points from the theory part and completing project work hours.
Grade 2: under 150 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 188 points from the theory part and completing project work hours.
Grade 4: under 225 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: 225 or over 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

After completing the course the student can:
- explain the basic principles of information security risk assessment and risk management
- list the phases of information security risk management process
- classify information security risks by applying different approaches
- give examples of different information security risk assessment methods
- organize and conduct information security risk assessment to an SME sector enterprise or similar size organization
- analyze the results of information security risk assessment
- give justified improvement proposals to mitigate information security risks.

Content

- The basic principles of information security risk assessment and risk management
- Information security risk management standard ISO/IEC 27005:2008
- Information security risk assessment methods and best practices
- Practical work

Materials

Material will be published in Itslearning.

Teaching methods

- Lectures, assignments and practical work

Exam schedules

Course has an exam.

Student workload

Lectures
Assignments and practical work

Content scheduling

After completing the course the student can:

- explain basic principles of ISO/IEC27005:2008 -standard based information security risk assessment and risk management
- explain the basic principles of information security risk assessment and risk management
- list the phases of information security risk management process
- classify information security risks by applying different approaches
- give examples of different information security risk assessment methods
- organize and conduct information security risk assessment to an SME sector enterprise or similar size organization
- analyze the results of information security risk assessment
- give justified improvement proposals to mitigate information security risks.
- Understands information security risk management as part of continuity planning and preparedness

Evaluation scale

H-5

Assessment methods and criteria

Grade will be composed of:
50% Personal and group Assignments
50% Exam.
The grade is determined by the average of homework assignments and the average grade of the exam.

Unsubmitted homework assignments lower the average of submissions. For example, if the average of homework assignments is 3.5 and one assignment is not submitted, the grade is reduced by -0.5, resulting in an average of 3. If two homework assignments are not submitted, the grade is 1 regardless of the average of submissions

Assessment criteria, fail (0)

<50% of assignment and exam points.

Assessment criteria, satisfactory (1-2)

>=50% of the homework assignments are completed, and 50% of the points are from the exam. Each part must get a passing grade.

Assessment criteria, good (3-4)

>=70% of the homework assignments are completed, and 70% of the points from the exam. Each part must get a passing grade.

Assessment criteria, excellent (5)

>=90% of assignment and exam points. Each part must get a passing grade.

Objective

After completing the course, the student can

discuss Turku University of Applied Sciences as an organization and work community
identify the regulations and rules governing studying in Turku University of Applied Sciences
operate the digital learning environments and tools of the university
locate information regarding studying, safety issues, student health services and recruitment possibilities
describe and identify values and norms of the Finnish society

Content

Digistartti
Intranet Messi
Cultural information

Teaching methods

Lectures and discussions about the topic of the week.

International connections

During the implementation student gets familiarized with Turku UAS pedagogical approach where studying is based on active learning methods that enable varied and effective ways of learning. Also, the course is aiming to promote ecological solutions in everyday life of a student.

Student workload

Weekly lectures and completing Digistart.

Assessment criteria, approved/failed

Active attendance and completed Digistart.

Content scheduling

The course is optional for international bachelor’s degree programme students. It will be implemented as a lecture series. Topics of the lectures support the student when starting the studies in Finland.
There is one weekly contact day during the course.

Further information

Lecture once a week

Evaluation scale

Hyväksytty/Hylätty

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

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

Networks start in first period and Security in second period (preliminary, can change when course begings)

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

Demo assignments and laboratory work / networks 25 p
Exam / information networks 25 p

Demo assignments and laboratory work / security 25 p
Exam / information security 25 p

The overall result is the sum of the results of the assignments and exams. Max 100p.

Assessment criteria, fail (0)

The student does not know the basic concepts of the field.
Less than 50 points in total score

Assessment criteria, satisfactory (1-2)

The student knows the basic concepts to some extent.
50-69 points in total score

Assessment criteria, good (3-4)

The student knows the basic concepts quite well.
70-89 points in total score

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

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

Networks start in first period and Security in second period (preliminary, can change when course begings)

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

Demo assignments and laboratory work / networks 25 p
Exam / information networks 25 p

Demo assignments and laboratory work / security 25 p
Exam / information security 25 p

The overall result is the sum of the results of the assignments and exams. Max 100p.

Assessment criteria, fail (0)

The student does not know the basic concepts of the field.
Less than 50 points in total score

Assessment criteria, satisfactory (1-2)

The student knows the basic concepts to some extent.
50-69 points in total score

Assessment criteria, good (3-4)

The student knows the basic concepts quite well.
70-89 points in total score

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

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

Networks start in first period and Security in second period (preliminary, can change when course begings)

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

Demo assignments and laboratory work / networks 25 p
Exam / information networks 25 p

Demo assignments and laboratory work / security 25 p
Exam / information security 25 p

The overall result is the sum of the results of the assignments and exams. Max 100p.

Assessment criteria, fail (0)

The student does not know the basic concepts of the field.
Less than 50 points in total score

Assessment criteria, satisfactory (1-2)

The student knows the basic concepts to some extent.
50-69 points in total score

Assessment criteria, good (3-4)

The student knows the basic concepts quite well.
70-89 points in total score

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

Objective

After having completed the course, the student:
• can describe different topical areas of ICT, their interfaces to other fields and application opportunities from different perspectives
• can identify channels to contribute to the development of the society in general and own professional field in particular
• is familiar with the ICT degree programme's competence tracks' contents, applications and business cooperation
• analyze one’s own competences, interests, strengths and development areas

Content

* getting familiar with competence tracks' contents, laboratories, and projects
* career planning and choosing one's preference for competence track

Materials

All materials are distributed through the learning environment (ItsLearning).

Teaching methods

Lectures and assignments.

Exam schedules

No exam.

Taking the course requires attendance and finishing the given tasks.
There is no chance for a retake after the course has ended.

International connections

The methods and assignment requirements for each path are announced in Itslearning

Completion alternatives

None.

Student workload

Weekly contact hours (twice per competence path) and the assignments for each path.
- Course introduction: 1 hour
- Learning paths: 7 x 2 x 3 hours = 42 hours

Independent work: approximately 35 hours

Total: approximately 80 hours

Assessment criteria, approved/failed

To achieve a passing grade, the following are required:
1. Participation in contact hours: 75% (11/15)
2. Successful completion of assignments according to the schedule: 75% of the tasks

There will be one assignment per each class.

Based on these, an average percentage is calculated, and if it is at least 75%, the course is passed.

Content scheduling

In the course, the learning paths are introduced according to the following weekly schedule:
3 + 4: DNCS - Data Networks and Cybersecurity
5 + 6: GAIT - Game and Interactive Technologies
7 + 9: EHEA - Health Technology
10 + 11: SWIS - Software Development and Information Systems
12 + 13: EMBO - Embedded Software and IoT
14 + 15: SEPM - Software Engineering and Project Management
16 + 17: DEAI - Data Engineering & AI

Further information

ItsLearning

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

The course assessment is influenced by:
1. Participation in contact hours
2. Completion of assignments according to the schedule