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 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

Further deepening knowledge of more challenging 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

Lectures, group work and independent work, project work, online/on-site activities

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

Lectures, exercises on lectures and small group meetings: 72 hours
Assignments and self study: 63 hours
Project work 135 hours, which includes mandatory 40 hours of theFIRMA weekly meetings for project managers. Also, ICT guest lectures and theFIRMA Tech-club hours are counted to project work hours.

TOTAL 270 hours

Majority of project work is done on-site.

Content scheduling

This course deepens further knowledge of challenging ICT project work and the most used methods, standards and technologies of software projects. Students will team up for a project work on customer projects related to ICT field. Customer projects develop students’ working life skills (among others: technical, team working, communication, time management, professional attitude and taking responsibility) and problem solving skills.

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

Further information

The course's and theFIRMA itslearning and Microsoft Teams.

Evaluation scale

H-5

Assessment methods and criteria

The course consists of two parts, the theory part and the project work part. Both parts need to be passed to pass the course.

The theory part includes 6 assignments:
- All of the assignments are assessed with 0-30 points. Thus, the maximum number of points from the assignments are 180.
Late submission for the assignments will reduce the points by 50%.

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

Altogether these will give the students the maximum of 210 points. These points are evaluated in the following way:
Fail: 0-59 points
grade 1: 60 – 89 points
grade 2: 90 – 119 points
grade 3: 120 – 149 points
grade 4: 150 – 179 points
grade 5: 180 – 210 points.

Project work:
The students are required to work in the project a total of 135 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).
- Participating to one ICT Guest Lecture equals 3 points.

The formative assessment of students' performance in the projects is based on self and peer assessment, customer’s feedback (if available) and project manager’s feedback.
All the required hours done equals to 135 points, every missing 15 hours means one grade point reduction of the grade student has received from the evaluation.

The final grade of the course is weighted average:
- Assignments and presence 50%
- Project work (evaluation based on self- and peer assessment) and project hours 50%

Accepted grade cannot be raised.

Assessment criteria, fail (0)

Less than 60 points from assignments, project working hours not completed.

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

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

Assessment criteria, satisfactory (1-2)

Grade 1: 60-89 points from assignments and attendance + completing project work hours.

Grade 2: 90-119 points from assignments and attendance + 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: 120-149 points from assignments and attendance + completing project work hours.

Grade 4: 150-179 points from assignments and attendance + completing project work hours.

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

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

Assessment criteria, excellent (5)

Grade 5: 180-210 point from assignments and attendance + 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.

Materials

All course materials and instructions can be found in It'sLearning workspace

Teaching methods

The course is implemented as face-to-face teaching using electronic work tools with a schedule according to the timetable. The course material is added to It'sLearning as the course progresses and is available to students until the end of the course. In some of the face to face meetings students are participating as users in real user tests of R&D projects of TUAS.

There are several individual exercises during the course related to the topics covered on the lectures.

During the course, a group exercise is carried out , where the things learned during the course are applied to a practical application. A report is produced from the exercise work, which is evaluated as part of the whole. The progress of the exercise is followed with pre-determined milestones.

Some Q&A sessions will be arranged where students can discuss and get a feedback from exercises done during the course.

Exam schedules

There are no exams or re-exam possibilities due to course implementation nature.

International connections

In the course, the basic skills of usability and usability planning are studied. The examples and tasks contain specific application examples. The study course uses source material in English, which gives students the ability to understand international engineering literature, publications, standards, etc. When solving assignments, students are encouraged to work in a team. Digital study material and an electronic learning environment are used in a variety of ways in the course. UX and UI designers' role in sustainable software engineering is discussed.


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

Completion alternatives

None

Student workload

Contact teaching and exercises 30h
Q&A sessions 6h
Personal studying, individual exercises and group work 94h

Content scheduling

• 9/24 : usability definition, benefits, principles and operating models
• 10/24 : human as user (participation in usability tests), interaction, culture and environment and usability evaluation
• 11/24: usability testing, user research, conceptual design and sense of sight and visual observation
• 9-12/24: practice work on the topics discussed in the course. It is carried out in small groups.

The content of the course is divided into three areas: analysis, planning and evaluation.
In the first part, the acquisition of user data is practiced as a basis for planning. In the second part, you practice creating an interactive user interface. In the third part, user interface and user experience evaluation methods are practiced.
- Basics of user orientation and usability
- User research and information acquisition methods
- Design sprints and creating an interactive user interface
- Usability assessment methods and tools
- Design and execution of usability tests

Further information

All course materials and instructions can be found in It'sLearning workspace.

Evaluation scale

H-5

Assessment methods and criteria

Individual exercises: Minimum to pass 50% of total points (max. points will be announced and published in the beginning of the course). Graded 0-5. 50% of total assessment. [summative assessment, teacher/automatic assessment]
Group exercise: Minimum to pass 50% of total points (max. points will be announced and published in the beginning of the course). Graded 0-5. 50% of total assessment. The task in small groups is project-based work. [summative assessment, teacher assessment]

Both individual and group exercise must be passed successfully to pass the course.

Minimum 50% attendance on the lectures is mandatory to pass the course. Higher attendance rewards with a bonus for total grade in following way:
Bonus for grade
50-60% 0,1
60-70% 0,2
70-80% 0,3
80-90% 0,4
90-100% 0,5

Assessment criteria, fail (0)

Student has not met the requirements to pass the course. 50% attendance, minimum 15 points from group exercise and minimum 15 points from individual exercises.

Assessment criteria, satisfactory (1-2)

The student knows the topics covered in the course and recognizes the practical design tasks to which they could be applied.

Assessment criteria, good (3-4)

The student is familiar with the topics covered in the course and knows how to use them in practical planning tasks.

Assessment criteria, excellent (5)

The student has mastered the topics covered in the course and knows how to apply them independently to practical design tasks.

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.

Some other material will be introduced during the course too.

Teaching methods

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

Exam schedules

No exam

Completion alternatives

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

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

Student workload

34 h contact lessons
12 h presenting and following team works
45 h preparing teamwork
44 h doing personal exercises

Content scheduling

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 the MVT version of the MVC architectural pattern.

The students will deepen their skills in the team works.

Onsite lessons. Theory lessons are for theory and presentations of theoretical team works. Practical lessons are for programming together. Demonstrations are for going through some of the solutions the students have done for the individual exercises.

7 personal assignments
2 team works (theory and programming works)

Evaluation scale

H-5

Assessment methods and criteria

The maximum number of points available from course is 120.

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

The course evaluation scale is the following:

Min points -> Grade

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

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

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

Percentage of being present on the normal lectures -> points

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

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

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

Assessment criteria, fail (0)

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

Assessment criteria, satisfactory (1-2)

The student knows the possibilities of Python programming in web application development
The student understands what a web application framework is
The student understands web technologies and knows solutions and problems related to web applications
The student knows the MVT architectural model
The student knows what an ORM is
The student knows how template and template engine are related to user interfaces
The student knows what authentication and authorization are
The student is ready to implement a simple web application

Assessment criteria, good (3-4)

The student knows how to utilize the possibilities offered by Python programming in web application development
The student understands what a web application framework is
The student knows how to use web technologies and knows solutions and problems related to web applications
The student knows the MVT architecture model and knows how to program applications that follow it
The student knows what ORM is and knows how to use it for the permanent storage of web application data
The student knows how a template and a template engine are related to user interfaces and knows how to use them to build user interfaces in web applications
The student knows how to authenticate and authorize users in web applications
The student can implement a simple web application
The student is able to work on web application projects

Assessment criteria, excellent (5)

The student knows how to effectively utilize the opportunities offered by Python programming in web application development
The student understands what a web application framework is and can evaluate the consequences of its application
The student knows how to use web technologies and knows solutions and problems related to web applications extensively
The student knows how to search for and evaluate suitable solutions and tools and apply them to the problems they encounter
The student knows the MVT architecture model and knows how to program applications that follow it
The student knows what an ORM is and knows how to use it in a versatile manner in the permanent storage of web application data
The student knows how template and template engine are related to user interfaces and knows how to use them versatilely to build user interfaces in web applications
The student knows how to authenticate and authorize users in web applications
The student knows how to implement many kinds of web applications
The student is able to work in web application projects in various roles and to search for effective solutions to fulfill customer requirements

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

Opintojaksolla on käytössä oppikirja, mutta myös opettajan itse laatima materiaali, jonka varassa pärjännee ilman oppikirjaakin. Muita materiaaleja ovat tehtävänannot, jotka julkaistaan kurssin kuluessa.

Oppikirjan tiedot ovat seuraavat:
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

Kirjan 3. painos on luettavissa sähköisessä muodossa eBook Central -ympäristössämme.

Teaching methods

Oppimateriaalin lukeminen, ongelmanratkaisu kautta oppiminen, oppiminen käytännön ohjelmointitehtävien kautta tekemällä esimerkki- ja ongelmalähtöisesti, ryhmissä oppiminen, oppiminen ryhmätyötä tekemällä

Exam schedules

Opintojakson toteutuksella ei ole tenttiä.

International connections

Pedagogiikka noudattaa perinteistä opettajajohtoista menetelmää sekä aktiviteettiorientoitunutta tehtävien tekemistä ja luovaa ongelmanratkaisua. Kestävä kehitys huomioidaan käyttämällä olemassa olevaa infrastruktuuria lisärakentamisen tai laitehankintojen sijaan. Virtualisointia soveltamalla voidaan käyttää heterogeenista laitekantaa ilman tarvetta uusia laitteita. Opetus tapahtuu koulurakennuksessa, jossa opiskelijat ovat keskimäärin muutoinkin paljon, mikä vähentää matkustamista eri paikkojen välillä.

Completion alternatives

Opintojakso tarjotaan vain yhdessä muodossa, mutta huomioidaan tutkintosäännön asettamat mahdollisuudet.

Student workload

Oppitunnilla kuunteleminen ja seuraaminen, oppimateriaalin opiskelu, harjoitustehtävät, ryhmätyönä tehtävä harjoitustyö, yhteensä 135 tuntia

Content scheduling

Esitietovaatimukset: Ensimmäisen vuosikurssin opintojen oppisisältöjen hallinta tai vastaavat tiedot.

Sisältö:
Kurssin aikana rakennetaan verkkosivusto käyttäen Pythonia ja Django web-sovelluksen ohjelmointi-frameworkia. Verkkosivusto noudattaa erästä MVC-arkkitehtuuri-patternin versiota.

Opiskelijat harjoittelevat verkkosivuston tekoa syventäen osaamistaan tekemällä ryhmätyön.

Oppitunnit: Teoria, ohjelmointi yhdessä, demotehtävät ja ryhmätyö, joka voi koostua yhdestä tai kahdesta osiosta. Mahdolliset puhtaat teoriatunnit ja käytännön ohjelmointitunnit etenevät kurssin aikana rinta rinnan.

Oppitunteja tarjotaan 56 tuntia syyslukukauden kuluessa. Näistä puolet on kolmen ryhmän yhdistetylle ryhmälle ja puolet pienille ryhmille erikseen.

Further information

Opintojaksolla on käytössä suullinen viestintä oppitunneilla. Kirjallinen viestiminen toteutuu Itslearningin ja sähköpostin välityksellä.

Evaluation scale

H-5

Assessment methods and criteria

Tehtäväksi annetaan:
Arviolta 7 henkilökohtaista harjoitustehtäväkokonaisuutta: 70 pistettä max
Ryhmätyö: 30 pistettä max
Läsnäolo: 20 pistettä max

Tehtävät on palautettava erikseen annettuun aikarajaan mennessä, jotta niistä voi saada pisteitä. Aikarajan jälkeen palautetuista tehtävistä voi saada enintään puolet tavallisista maksimipisteistä. Opettaja voi huomauttaa kurssin alkupuolella opiskelijalle, jos näyttää siltä, ettei opiskelijan nykyaktiivisuus opintojaksolla ennusta hyväksyttyä suoritusta. Kaikki opintojakson osasuoritukset on palautettava kuitenkin opintojakson meneillään olevan toteutuksen kuluessa silloinkin, kun niitä palautetaan myöhässä.

(i) Opiskelijan on saatava vähintään 10 pistettä ryhmätyöstä saadakseen hyväksytyn arvosanan opintojaksosta.

(ii) Opiskelijan on saatava yhteensä vähintään 40 pistettä henkilökohtaisista tehtävistä ja ryhmätyöstä saadakseen hyväksytyn arvosanan opintojaksosta.

(iii) Opiskelija voi saada alimpaan arvosaan oikeuttaviin pisteisiin arvosanaa korottavia pisteitä kaikista kolmesta pistelähteestä, joita ovat siis harjoitustyö, viikoittaiset tehtävät sekä läsnäolo.

Läsnäolot kerätään paperiseen rastilistaan, joka kiertää oppitunnilla luokassa. Näistä lasketaan kokonaisläsnäolon suhde, jonka mukaan saadaan ansaittu osuus 20 läsnäolopisteestä. Läsnäolopisteet annetaan seuraavan skaalan perusteella:

Läsnäoloprosentti käytännön- ja teorialuennoilla -> pisteitä:

alle 20% -> 0
20% -> 5
40% ->10
60%->15
80%->20

Arviointiasteikko (pisteet --> arvosana):

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

Assessment criteria, fail (0)

Opiskelija ei ole palauttanut riittävästi pyydettyjä tehtävien oikeaksi arvioitavissa olevia ratkaisuja kurssilla määritellyillä tavoilla annettuihin aikarajoihin mennessä tai ei osaa uskottavasti ja osaamista osoittavalla tavalla tehdä selkoa palauttamistaan ratkaisuista sekä pyydettäessä demota laatimiaan ratkaisuja, luomiaan järjestelmiä tai vastata opettajan esittämiin kysymyksiin, jotka koskevat tehtävien ratkaisuja, kurssin keskeisiä oppeja ja opittaviksi asetettuja periaatteita, näiden oppien soveltamista tai käytännön menetelmiä. Kysymyksiin vastaamisella tarkoitetaan joko välitöntä suullista vastaamista tai valvottua kirjallisen vastauksen laatimista opettajan määräämästä tavasta riippuen tai muuta erikseen tilannetta varten määriteltyä ja tarpeelliseksi perustelvissa olevaa tapaa. Demoamisella tarkoitetaan kurssilla määritellyn tekniikan varassa suoritettua itse kirjoitetun ohjelmallisen ratkaisun tai useista sellaisista muodostuvien kokonaisuuksien toimintaan saattamista valvotusti ja tapahtumia selostaen. Vilppi tai muu perusteltu selvästi hylkäykseen johtava seikka voi myös aiheuttaa hylkäyksen.

Assessment criteria, satisfactory (1-2)

Opiskelija osaa opintojakson sisällön keskeisimmät periaatteet ja opit sekä osaa rakentaa Djangolla opintojaksolla käytössä olevaan ympäristöön tehtävänannossa pyydetyn järjestelmän, joka soveltaen mukailee opintojakson pääopintomateriaalissa esitettyä järjestelmää kaikkine toiminnallisuusosioineen, mutta esitettyä laajuutta suppeammin. Osaaminen osoitetaan lisäksi tehtävien hallinnalla ja kurssin oppitunteihin osallistumalla ja niissä aktiivisesti kuuntelemalla ja annettuja tehtäviä tekemällä annetun pisteintervallin arvoisesti.

Assessment criteria, good (3-4)

Opiskelija osaa opintojakson sisällön keskeisimmät periaatteet ja opit sekä osaa rakentaa Djangolla opintojaksolla käytössä olevaan ympäristöön tehtävänannossa pyydetyn järjestelmän, joka laajasti soveltaen mukailee opintojakson pääopintomateriaalissa esitettyä järjestelmää kaikkine toiminnallisuusosioineen. Osaaminen osoitetaan lisäksi tehtävien hallinnalla ja kurssin oppitunteihin osallistumalla ja niissä aktiivisesti kuuntelemalla ja annettuja tehtäviä tekemällä annetun pisteintervallin arvoisesti.

Assessment criteria, excellent (5)

Opiskelija osaa opintojakson sisällön keskeisimmät periaatteet ja opit sekä osaa rakentaa Djangolla opintojaksolla käytössä olevaan ympäristöön tehtävänannossa pyydetyn järjestelmän, joka laajasti soveltaen mukailee opintojakson pääopintomateriaalissa esitettyä järjestelmää kaikkine toiminnallisuusosioineen ja osin ylittää oppimateriaalissa esitetyn perusversion monipuolisuudellaan. Osaaminen osoitetaan lisäksi tehtävien hallinnalla ja kurssin oppitunteihin osallistumalla ja niissä aktiivisesti kuuntelemalla ja annettuja tehtäviä tekemällä annetun pisteintervallin arvoisesti.

Objective

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

Content

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

Materials

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

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

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

Teaching methods

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

International connections

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

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

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

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

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

Student workload

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

Total: approximately 135 hours

Content scheduling

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

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

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

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

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

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

* The study plan may change as the course progresses.

Further information

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

2- Databases

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

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

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

Evaluation scale

H-5

Assessment methods and criteria

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

Assessment criteria, fail (0)

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

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Objective

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

Content

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

Materials

Material available via the learning environment (ITS).

Teaching methods

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

Exam schedules

Exam in Week 49.
Retake exam in January 2025.

International connections

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

Student workload

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

Home and independent work: approximately 90 hours

Total: approximately: 130 hours

Content scheduling

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

Further information

Additional information is share via ITS

Evaluation scale

H-5

Assessment methods and criteria

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

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

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

Assessment criteria, fail (0)

Less than 50% points

Assessment criteria, satisfactory (1-2)

50 - 69% points

Assessment criteria, good (3-4)

70 - 89% points

Assessment criteria, excellent (5)

At least 90% points

Objective

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

Content

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

Materials

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

The Odoo part uses a few chapters from the book:


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

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

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

Teaching methods

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

Exam schedules

Exam in the last week of the course

International connections

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

Completion alternatives

Not available

Student workload

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

Content scheduling

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

Further information

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

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

Evaluation scale

H-5

Assessment methods and criteria

The course is graded as follows:

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

A total of 100 p

Grade scale:

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

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

Assessment criteria, fail (0)

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

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Objective

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

Kirja: Tuomenlehto, Holmlund et al.: Insinöörin matematiikka. Edita 2018.
Itslearningin kautta jaettava muu materiaali.

Teaching methods

lähiopetus, tehtäväperustaisuus, itsenäinen opiskelu

Exam schedules

Osakokeet 3 kpl luentoaikoina, tarkemmat ajankohdat ilmoitetaan kurssin aikana Itslearningissä. Tarvittaessa järjestetään uusintatentti.

International connections

Opintojaksolla opiskellaan matemaattisia perustaitoja, jotka ovat insinöörityön perusta.

Completion alternatives

Kotitehtävät ja osakokeet (tai kurssin jälkeinen uusintatentti)

Student workload

Lähiopetusta n. 85 h.
Itsenäistä työskentelyä (opiskelumateriaali, tehtävät, osakokeisiin valmistautuminen) 50 h.
Yhteensä 135 h.

Content scheduling

- Raja-arvo
- Derivaatta
- Differentiaali
- Määräämätön ja määrätty integraali
- Differentiaali- ja integraalilaskennan sovelluksia
- Differentiaaliyhtälöistä

2x2h luento + 2h laskuharjoitus viikottain, 14 viikkoa

Further information

Edeltävyysehdot: Insinöörimatematiikan perusteet tai vastaavat tiedot ja taidot

Evaluation scale

H-5

Assessment methods and criteria

Arvosana perustuu osakokeiden pistemääriin sekä tehtyihin kotitehtäviin ja lähiopetukseen osallistumiseen.

Kurssin hyväksytyn läpäisemisen minimi vaatimus on yksi kolmasosa kurssin osakokeiden kokonaispistemäärästä (33%).

Arvosanaan vaikuttavat myös tehtyjen kotitehtävien palautus prosentti, sekä lähiopetukseen osallistumisaktiivisuus.

Assessment criteria, fail (0)

Opiskelija ei ole osoittanut saavuttaneensa opintojakson tavoitteita. Opiskelija tunnistaa ja osaa käyttää vain muutamia opintojakson aihepiirin käsitteitä eikä osaa soveltaa oppimaansa.

Hylätty arvosana seuraa, jos opiskelija ei ole suorittanut hyväksytysti välikokeita (alle 33 % osakokeiden kokonaispistemäärästä)

Opintojakso hylätään myös, jos opiskelijan suorituksissa havaitaan vilppiä. Ensimmäinen havaittu vilppi tai vilpin yritys johtaa yksittäisen koe- tai tehtäväsuorituksen hylkäämiseen. Toinen havaittu kerta johtaa koko opintojaksosuorituksen hylkäämiseen.

Assessment criteria, satisfactory (1-2)

Opiskelija on osoittanut saavuttaneensa opintojakson tavoitteet tyydyttävästi. Opiskelija tunnistaa ja osaa jossain määrin hyödyntää opintojakson aihepiirin käsitteitä.

Assessment criteria, good (3-4)

Opiskelija on osoittanut saavuttaneensa opintojakson tavoitteet hyvin, vaikka tiedoissa ja taidoissa onkin joillain osa-alueilla vielä kehitettävää. Opiskelija osaa käyttää hyvin opintojakson aihepiirin käsitteitä ja soveltaa oppimaansa opiskelun ja työelämän tilanteissa

Assessment criteria, excellent (5)

Opiskelija on osoittanut saavuttaneensa opintojakson tavoitteet kiitettävästi. Opiskelija hallitsee kiitettävästi opintojakson aihepiirin käsitteet ja osaa analysoida aihepiiriin liittyviä asioita sujuvasti ja perustellusti. Opiskelijalla on hyvät valmiudet soveltaa oppimaansa opiskelun ja työelämän tilanteissa.

Qualifications

Precalculus course or equivalent skills

Objective

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

Content

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

Materials

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

Teaching methods

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

Exam schedules

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

International connections

FLIP classrooms and learning by doing

Completion alternatives

Not possible

Student workload

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

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 135 hours

Content scheduling

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

CLO1 Analyze classic data centers and cloud data center solutions.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Further information

Course material and assignments in Its Learning and AWS academy.

Evaluation scale

H-5

Assessment methods and criteria

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

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

The grading scale (points -> grade):

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

Assessment criteria, fail (0)

Fail < 50 points

Assessment criteria, satisfactory (1-2)

50 points -> 1
60 points -> 2

Assessment criteria, good (3-4)

70 points -> 3
80 points -> 4

Assessment criteria, excellent (5)

90 points -> 5

Objective

After completing the course the student:
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:
- 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:
- 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

Momentti 1, Insinöörifysiikka, Pentti Inkinen & Jukka Tuohi. Otava.
Momentti 2, Insinöörifysiikka, Pentti Inkinen, Reijo Manninen & Jukka Tuohi. Otava.
Tammertekniikka: Tekniikan kaavasto tai Otava: MAOL-taulukot
In addition, online material prepared by the teacher, which is shared through the ItsLearning workspace.

Teaching methods

face-to-face teaching, task-based study, independent study, teamwork, virtual teaching

Exam schedules

1st sub-exam at week 44
2nd sub-exam at week 50
The possibility to repeat sub-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 sub-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 sub-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 sub-exam
12/2024 - 1/2025: Repeats of sub-exams.

Further information

The course requires a calculator (function calculator, graphing calculator or CAS-calculator).

As the lectures and homework sessions have topics where students work and answer questions in groups, the course requires minimum attendance of 50% of lectures and homework sessions. It does not affect grade, but only if one can pass the course.

(Avoin AMK 3 students)

Evaluation scale

H-5

Assessment methods and criteria

The course has a mandatory attendance which is 50% of lessons and homework session.
If attendance > 70% you get 1p. If attendance > 90% you get 2p.
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 sub-exams (2 x 30 points)

A total of at least 12 points must be obtained from the sub-exams.
At least 12 homeworks must be done from the area of sub-exam 1.
At least 10 homeworks must be done from area 2 of sub-exam.
However, a total of at least 50 points must be obtained.

The assessment is based on understanding the course content and sufficient training (homework).

Assessment criteria, fail (0)

Total less than 50 points.
or
A total of less than 12 points in the partial exams
or
Less than 12 homeworks have been done from the area of sub-exam 1.
or
Less than 10 homeworks have been done from area of sub-exam 2.
or
Attendance is less than 50%

Sufficient understanding of the course content has not been shown and there has been too little training.

Assessment criteria, satisfactory (1-2)

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

The basics of the course content have been understood and enough training has been done.

Assessment criteria, good (3-4)

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

The content of the course is mostly well understood and a reasonable amount of practice has been done.

Assessment criteria, excellent (5)

At least 98 points.

The content of the course is excellently understood and a lot of training has been done.

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

- Luentomuistiinpanot sekä laskuharjoitusten tehtävät ja vastaukset OneNote-tiedostona
- Kaavakokoelma sekä opiskelijan oma MAOL/Tekniikan kaavasto
- Opiskelijan oma tavallinen funktiolaskin (ei graafinen/CAS/symbolinen/puhelin)

Teaching methods

Luennot
Laskuharjoitukset
Kokeet

Exam schedules

OSA1:
Osakoe1 ja sen uusinta lokakuussa
OSA2:
Osakoe2 ja sen uusinta joulukuussa

Lopullinen uusinta seuraavan vuoden tammikuussa:
voi tehdä jomman kumman tai kummatkin osakokeista, jos ei ole päässyt kurssista läpi.

Student workload

13*3h OSA1-luennot
2*2h kokeet
13*3h OSA2-luennot
2*2h kokeet
loppu opiskelijan itsenäistä opiskelua

Content scheduling

Syyskuu-lokakuu, OSA1:
- aritmetiikka
- algebra
- trigonometria

Lokakuu-joulukuu, OSA2:
- kompleksiluvut
- matriisilaskenta
- vektorilaskenta
- lukujärjestelmät

Further information

Sähköposti ja ITSL viestintäkanavina.

Evaluation scale

H-5

Assessment methods and criteria

Osakokeista täytyy saada 16/40 pistettä yhteensä päästäkseen läpi.
Laskuharjoituksista saatavat lisäpisteet parantavat arvosanaa, niitä voi saada max 10 pistettä.
Arvosanataulukko pisteiden mukaan:
0-15: 0
16-22: 1
23-29: 2
30-35: 3
36-42: 4
43-50: 5

Assessment criteria, fail (0)

Ei tarpeeksi pisteitä kokeista.

Assessment criteria, satisfactory (1-2)

Arvosanataulukon mukaan.

Assessment criteria, good (3-4)

Arvosanataulukon mukaan.

Assessment criteria, excellent (5)

Arvosanataulukon mukaan.

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

The course material is available in Its.

International connections

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

Student workload

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

Content scheduling

The course will run from 2 September to 13 December.

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

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

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

Learning objectives:

Spoken communication

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

Written communication

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

Further information

The channel of communication during the course is Its.

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

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on

1) four assignments

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

2) meeting tasks and self-study tasks

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

Points to be noted:

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

Objective

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

Content

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

Materials

The course material is available in Its.

International connections

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

Student workload

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

Content scheduling

The course will run from 2 September to 13 December.

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

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

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

Learning objectives:

Spoken communication

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

Written communication

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

Further information

The channel of communication during the course is Its.

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

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on

1) four assignments

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

2) meeting tasks and self-study tasks

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

Points to be noted:

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

Objective

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

Content

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

Materials

The channel of communication during the course is Its.

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

International connections

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

Completion alternatives

The course material is available in Its.

Student workload

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

Content scheduling

The course will run from 2 September to 13 December.

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

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

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

Learning objectives:

Spoken communication

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

Written communication

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

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on

1) four assignments

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

2) meeting tasks and self-study tasks

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

Points to be noted:

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

Objective

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

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

Content

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

Materials

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

Teaching methods

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

Exam schedules

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

International connections

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

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

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

Content scheduling

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

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

Further information

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

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

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

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

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

Assessment criteria, fail (0)

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

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

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

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

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Qualifications

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

Objective

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

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

Content

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

Materials

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

Teaching methods

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

Exam schedules

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

International connections

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

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

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

Content scheduling

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

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

Further information

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

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

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

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

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

Assessment criteria, fail (0)

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

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

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

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

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Qualifications

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

Objective

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

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

Content

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

Materials

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

Teaching methods

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

Exam schedules

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

International connections

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

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

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

Content scheduling

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

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

Further information

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

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

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

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

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

Assessment criteria, fail (0)

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

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

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

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

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Qualifications

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

Objective

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

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

Content

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

Materials

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

Teaching methods

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

Exam schedules

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

International connections

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

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

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

Content scheduling

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

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

Further information

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

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

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

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

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

Assessment criteria, fail (0)

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

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

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

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

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Qualifications

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

Objective

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

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

Content

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

Materials

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

Teaching methods

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

Exam schedules

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

International connections

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

Completion alternatives

Ei ole vaillinaista suoritustapaa.

Student workload

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

Content scheduling

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

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

Further information

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

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

Viestintäkanavana käytetään sähköpostia ja Itslearningia.

Evaluation scale

H-5

Assessment methods and criteria

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

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

Assessment criteria, fail (0)

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

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

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

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

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Qualifications

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

Objective

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.

Evaluation scale

Hyväksytty/Hylätty

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

Sähköinen materiaali jaetaan itslearningissä.

Teaching methods

Aktiivinen osallistuminen lähiopetustuokioihin.
Luentoaktiviteetit ja -tehtävät.

Exam schedules

Ei tenttiä

International connections

Infot 3 x 1h = 3h
Tuutoritunnit 3 x 1h = 3h
Luennot 6 x 2h = 12h

Yhteensä 18 tuntia ohjattua opetusta/tutorointia, 63h omatoimista opiskelua.
Yhteensä 81h = 3 opintopistettä.

Assessment criteria, approved/failed

Hyväksyttyyn arvosanaan opiskelijan on täytettävä molemmat seuraavista läsnäolo- ja aktiivisuusehdoista:
- Osallistuminen: Opiskelija osallistuu vähintään 9 kontaktitunnille.
- Tehtävien palauttaminen: Vähintään 2 viikkotehtävää, 2 luentotehtävää ja raportti tulee suorittaa hyväksytysti ja ajoissa, jotta kurssin tehtäväosuus on suoritettu hyväksytysti.

Content scheduling

Opiskelija saa tietoa oppimissuunnitelmasta, opinto- ja tukimahdollisuuksista sekä tarvittavista opiskelutaidoista.

Tällä opintojaksolla tutustutaan CDIO (Conceive-Design-Implement-Operate) -viitekehyksen perusteisiin keskittyen erityisesti 'Conceive'- ja 'Design'-osioihin. Opiskelijat oppivat CDIO-mallin periaatteet ja niiden soveltamista käytännössä insinööritieteissä ja teknisillä aloilla. Opiskelija saa käytännön kokemusta myös ongelmien hahmottamisesta ja ratkaisujen suunnittelusta.

Further information

Opettajat tiedottavat kurssiin liittyvistä asioista itslearningissä.

Jos opiskelijalla on kysyttävää kurssiin liittyen, hänen tulee olla yhteydessä opettajaan sähköpostitse.

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

Aktiivinen osallistuminen lähiopetukseen
Viikotehtävien palauttaminen ajoissa.

Qualifications

None.

Objective

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

Content

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

Materials

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

Teaching methods

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

Exam schedules

No exam

Completion alternatives

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

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

Student workload

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

Content scheduling

Contents

I. JavaScript (Lectures and personal exercises)

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

II. React (Lectures and a teamwork)

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

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

7 personal JavaScript exercises.
React-based Teamwork.

Further information

itsLearning and email

Evaluation scale

H-5

Assessment methods and criteria

The maximum number of points available from course is 120.

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

The course evaluation scale is the following:

Min points -> Grade

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

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

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

Percentage of being present on the normal lectures -> points

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

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

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

Assessment criteria, fail (0)

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

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Objective

After completing the 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

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:
- understands the basics of information security and data protection in social and health care
- is able to apply his or her knowledge in the work of an expert in health technology
- is able to take into account the social and health care information security and data protection requirements in product development

Content

- Legislation on data protection
- Data protection for social and health care
- Social and health care registers
- Best practices in security anddata protection

Materials

All course material and assignments will be in ItsLearning platform.

Teaching methods

Lectures, weekly assignments, laboratory assignment.

International connections

Information Security Risk Management is a way to cover the Concept of Economical and Social Sustainability.

Student workload

Lectures 10 x 2h = 20h
On-site Laboratory Sessions 2 x 4h = 8h
Weekly Assignments 10 x 8h = 80h
Laboratory Assignment 27h

Total 135h

Content scheduling

Definition of Data Protection
GDPR
Data Protection in Health Care
Data Protection in the Development of Health Technology
Information Security Basics
Information Security in the Development of Health Technology
Information Security in Software Development
Data Protection Impact Assesment
Information Security Testing of a Consumer Product

Further information

All administrative information will be in Peppi platform.

All infos will be in Itslearning platform.

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on weekly assignments, laboratory assignment and attendance at lectures.

Assessment criteria, fail (0)

Under 50% of the weekly assignments and the laboratory assignment returned as accepted, or under 50% lecture attendance.

Assessment criteria, satisfactory (1-2)

At least 50% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

1: At least 50% of the weekly assignments and the laboratory assignment points.

2: At least 60% of the weekly assignments and the laboratory assignment points.

Assessment criteria, good (3-4)

At least 70% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

3: At least 70% of the weekly assignments and the laboratory assignment points.

4: At least 80% of the weekly assignments and the laboratory assignment points.

Assessment criteria, excellent (5)

At least 90% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

At least 90% of the weekly assignments and the laboratory assignment points.

Objective

After completing the course the student can:
- participate in systematic research and development activities as a responsible member of the project team
- describe the principles of project team operation and project control
- explain the importance of the project’s goals to the business of the stakeholders
- use modern tools of project management in project planning and implementation
- solve problems related to project implementation
- apply his/her knowledge to achieve project goals
- document the project
- identify areas of further development related to one’s professional skills and is able to deepen one’s professional skills according to the project’s goals
- evaluate his/her learning and professional development in the project.
More detailed outcomes will be defined on a project basis and according to student’s degree programme and competence area.

Content

Innovation project is typically a development project implemented in co-operation with a company or another external customer. However, the project may also be a part of Turku University of Applied Science’s internal research and development activities or it can be based on a student’s or student team’s own project or business idea. Also development projects related to different student competitions are applicable.

The final extent, detailed contents, student workload and learning outcomes of the course will be defined on a project basis.

Materials

Students choose their theory to suit the project and their own learning goals.
Every student chooses one useful book to read. The book must be useful for the project and for students own learning.
Students gather all necessary info, knowledge, skills and tools to be able to succesfully finnish the project.

Teaching methods

Contact lessons/info, teamwork, individual work, reports. Pedagogical methods used: Project learning, problem based learning, CDIO and innovation pedagogy.

International connections

Innovation project is typically a development project implemented in co-operation with a company or another external customer. However, the project may also be a part of Turku University of Applied Science’s internal research and development activities or it can be based on a student’s, student team’s own project, or business idea. In addition, development projects related to different student competitions are applicable.
Students select their preferred projects they want to work after exhibition.
After completing the course, the student can:
• participate in systematic research and development activities as a responsible member of the project team
• describe the principles of project team operation and project control
• explain the importance of the project’s goals to the business of the stakeholders
• use modern tools of project management in project planning and implementation
• solve problems related to project implementation
• apply his/her knowledge to achieve project goals
• document the project
• identify areas of further development related to one’s professional skills and is able to deepen one’s professional skills according to the project’s goals
• evaluate his/her learning and professional development in the project.

Student workload

4 hours on Tuesday and 4 hours on Friday
Additionally student work in (SCRUM or other project management methods) team together with rest of team member.

Content scheduling

13.09.2024 - 20.12.2024.
• Innovation project is an onsite course. Working on Campus on Tuesdays and Fridays at 08-12. Absences for a maximum of 3 acceptable reasons.
• Project Work for pre-selected companies or organizations
• Working in groups of 6-10 students
• Each project has dedicated coach (staff member) and product owner (typically customer representative).
• SCRUM or some other method for project management
Idea/creation phase: Sep-Dec
Execution/prototyping phase:

Further information

In the Capstone Innovation Project, it is compulsory to attend the scheduled teamwork on Tuesdays and Fridays from 8:00 to 12:00 O'clock.

Reason for compulsory participation on Tuesdays and Fridays:
The capstone course is based on a multidisciplinary working life project in multi-professional student teams.

The learning objectives are related to multidisciplinary teamwork and project management skills. In contrast to, for example, an internship, the focus is not on the competence of certain work tasks, but on the competence of multidisciplinary cooperation and project management in demanding research, development, or entrepreneurship projects of working life. In Capstone, the student must act as an expert in his field in tasks placed in the intermediate spaces of the participants' core competences. Learners learn to adapt their expertise to their peers' skills and the assignment requirements.

The assessment relies on a 360-assessment process and focuses, among other things, on the students' ability to function successfully as a member of a multi-specialist team. The Capstone Innovation Project course requires the opportunity to work in a trained team where peer evaluation is carried out. Studying a demanding job and working on it alone will not produce the competence sought by the Capstone innovation project without team coaching and peer learning. Just doing individual expert tasks does not fulfill the goals of the Capstone innovation project course.

These learning objectives are not possible to achieve without participation in onsite learning on Tuesdays and Fridays from 8:00 to 12:00.

More information from coordinators:
Linnossuo Timo
Sanna Simola

Evaluation scale

H-5

Assessment methods and criteria

Things to evaluate in Capstone:
• Attending group meetings
• Willingly accepts assigned tasks
• Contributes positively to group discussions.
• Completes work on time or make alternative arrangements.
• Helps others with their work when needed.
• Work accurately and completely, quality of the work is sufficient.
• Contribute a fair share to weekly tasks.
• Works to find out how to solve a problem and suggesting ideas.
• Overall is valuable member of the team.

The course is evaluated with grades 0-5. Assessment based on feedback from groups peer assessment, tutor’s assessment, and POs assessment. Peer assessment and turtor asesment will be done constantly during the course.
Individual learning portfolio and project teams deliverables and documentation of project work will be used as assessment material for grading together with Peer-, tutor and PO evaluations.
Feedback and acting on it is important part of assessment of students learning and skills.

Each project documents the process and Deliverables and reports them to the PO.
Each student documents her/his learning process and work individually in Learning Portfolio.
The documentations (group and individual), the group Reports and the individual the Learning Portfolios will be part of the evaluation and grading of student work and learning.

Assessment criteria, fail (0)

• Student has not contributed to group discussions.
• Student has not helped others when needed.
• Student has not returned assignments.
• Student has not contributed a fair share to weekly tasks.
• Student has not worked to find out how to solve a problem.
• Level of the final result is poor.

Assessment criteria, satisfactory (1-2)

• Student has contributed to group discussions.
• Student has completed work late or after reminder.
• Student has helped others when needed on acceptably way.
• The quality of assignments made by the student is satisfactory.
• Student has contributed a fair share to weekly tasks on acceptably way.
• Student has worked to find out how to solve a problem on acceptably way.
• Student has collected and documented feedback from peers, tutor and PO.

Assessment criteria, good (3-4)

Grades (3 and 4) is placed between commendable and acceptably

Assessment criteria, excellent (5)

• Student has contributed positively to group discussions.
• Student has completed work on time on commendable way.
• Student has helped others with their work.
• The quality of assignments made by the student is commendable.
• Student has contributed a fair share to weekly tasks on commendably way.
• Student has worked to find out how to solve a problem and suggesting ideas on commendable way.
• Student has collected, documented and used feedback from peers, tutor and PO to imoprove his skills and work.

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:
- is able to use multimeter and oscilloscope
- can name common components used in electronics and knows their basic characteristics
- can calculate currents, voltages and resistances as well as powers in simple circuits
- knows the basics of digital and analog blocks and their couplings in electronics.

Content

- Basic concepts of Circuit analysis and measurements: current, voltage, resistance, power
- Active and passive components used in electronics
- Basics of analog and digital electronics

Materials

Lecture notes, links and videos on the course's ITSlearning page

Teaching methods

Lectures, lab sessions, pair work, independent study

Exam schedules

Lab test will take place in week 49.

International connections

During the course we will learn electronics skills fundamental for an ICT-engineer's background knowledge. Most of the learning happens in the electronics lab, during hands-on assignments where students work in pairs to build circuits and measure how they operate.

Sustainable development aspects are considered during the course. In lectures, the applications of electronics in creating an ecologically sustainable and resilient society are highlighted. Wasteful practices in the lab are discouraged.

Completion alternatives

Not available.

Student workload

Contact hours (lectures and lab sessions): 51 h
Independent study, preparing for the labs and lab test, writing lab reports: 79 h

Content scheduling

The course will begin in week 36 and end in week 50.

Topics:
- Basic concepts of circuit analysis and measurements: current, voltage, resistance, power
- Basic usage of the oscilloscope to measure and analyse AC signals
- Basics of analog and digital electronics
- Active and passive components used in electronics, such as transistors, operational amplifiers and logic gates

Further information

ITSlearning

Evaluation scale

H-5

Assessment methods and criteria

Assessment consists of three parts:
- Reports for assignments 1-8 (10 p each, total 80 p), throughout the duration of the course
- Lab test (15 p), on week 49
- Lecture attendance (5 p in total, 1 p per lecture excluding the first one)

The total points to be obtained: 100 p.
To pass, the following three conditions must all be met:
1) At least three reports from the first four assignments (1-4) must be handed in by the deadline of assignment 4 and the total points from those first four assignments must be at least 9 p.
2) At least three reports from the last four assignments (5-8) must be handed in by the deadline of assignment 8 and the total points from those last four assignments must be at least 9 p.
3) The total number of points by the end of the course must be at least 26 p.

The grade boundaries are:
0-25 = FAIL
26-40 = 1
41-55 = 2
56-70 = 3
71-85 = 4
86-100 = 5

- If a submitted report is missing half or more of either the pre-assignments or the lab tasks, it will receive 0 p.
- If a submitted report has received 0 p or the lab tasks of the report contain otherwise significant errors, the report may be resubmitted, provided that the erroneous lab work is redone.
- If a report is submitted after the deadline, it will receive a reduction of 4 p. This also applies to resubmitted reports.

Assessment criteria, fail (0)

Total points 25 or less
or
fewer than three reports from the first four assignments (1-4) are handed in by the deadline of assignment 4 or the total points from those first four assignments is less than 9 p
or
fewer than three reports from the last four assignments (5-8) are handed in by the deadline of assignment 4 or the total points from those last four assignments is less than 9 p

Assessment criteria, satisfactory (1-2)

26-40 points = 1
41-55 points = 2

And
- At least three reports from the first four assignments have been handed in with total points of at least 9 p
- At least three reports from the last four assignments have been handed in with total points of at least 9 p

Assessment criteria, good (3-4)

56-70 points = 3
71-85 points = 4

And
- At least three reports from the first four assignments have been handed in with total points of at least 9 p
- At least three reports from the last four assignments have been handed in with total points of at least 9 p

Assessment criteria, excellent (5)

86-100 points = 5

And
- At least three reports from the first four assignments have been handed in with total points of at least 9 p
- At least three reports from the last four assignments have been handed in with total points of at least 9 p

Qualifications

High school mathematics courses (higher or subsidiary level)
OR
Primary+secondary school and vocational school maths curriculum and course: Introduction to Mathematics and Physics
OR
equivalent skills

Objective

After completing the course, the student will be able to:
- Identify the roles in game development and integrate into a game production team
- Identify and use the most common game development tools and industry standards
- Identify different platforms in game development and perform basic operations within one platform
- Understand and apply game design thinking
- Use basic tools related to audio listener and audio source interaction
- Understand copyright law and the purpose of immaterial property

Content

Introduction to
- The history of video games
- Phases and disciplines of the game development process
- 2D and 3D game content creation
- Game audio (basic sound editing and sound implementation within games)
- Game programming
- Game development tools and game platforms
- The game industry

Materials

Due to the practical nature of this course, there is no prescribed learning material. All necessary documentation and other material toward the successful completion of Intro to Game Dev Tools will be shared with students throughout the course.

Teaching methods

The course will be delivered through close contact lecture sessions.
Peer-assisted learning is required throughout the course of the group project.

This course is a collaboration with the University of Turku and we will use the Moodle learning platform.
The shortcut for the Moodle page is:
http://bit.ly/igdt2024

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

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.
The course is held onsite at campus with close contact. Mandatory participation for 70% of the close contact sessions.

Completion alternatives

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

Student workload

This course requires students to work 135 hours and is divided as follows:
- Lectures and presentations: 40 hours
- Group work and preparation: 95 hours
The group work requires students to work together in teams to make a small game project.
The course is held onsite at campus with close contact. Mandatory participation for 70% of the close contact sessions.

Students will be required to present their group game project in 3 milestones:
Week 38 - Concept presentation
Week 43 - Prototype presentation
Week 49 - Final game presentation

The concept and prototype presentations are for monitoring student progress and used as the basis of formative feedback. For every formative milestone missed, one grade point will be deducted from the final grade of each group member.

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

Content scheduling

Course starts on 6.9.2024 and ends 13.12.2024. The course is held onsite at campus with close contact. Mandatory participation for 70% of the close contact sessions.

Program (the order might change)
Week 36: Introduction to games industry and the history of video games
Week 37: Game Design and instructions for your first game project
Week 38: Game Engines
Week 39: Concept presentations
Week 40: Game Graphics
Week 41: Game Programming
Week 42: No Session. *Work on your game project*
Week 43: Game Programming - AI
Week 44: Prototype presentations
Week 45: Game Audio and tools
Week 46: Game Optimization and polishing
Week 47: Publishing the project. Publishing platforms, channels and process
Week 48: Guest lecture
Week 49: Final Game presentation

Further information

This course is a collaboration with the University of Turku and we will use the Moodle learning platform. The shortcut for the Moodle page is http://bit.ly/igdt2024

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

Mandatory participation for 70% of the close contact sessions.

Participation is mandatory due: important lectures that will give solid base for GAIT competence track studies, grouping and team spirit, peer assisted learning, immediate support and feedback, engagement and motivation, consistency and discipline.

Evaluation scale

H-5

Assessment methods and criteria

The game project is evaluated as follows:
GROUP grade...
- Lecturers overall impression of the game (H-5).

INDIVIDUAL student per group grade
Each student will also be measured on their contribution to the group's activities for each project by:
- Self assessment of the contribution made;
- Group member evaluation of the contribution made;

The combination of these gives an individual grade for each student per project.

Assessment criteria, fail (0)

Failure to produce and present the group game project 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.

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 Game Engine or programming skills in any new ways
- Code and hierarchy are disorganized, using inconsistent conventions
- The presentation were given without preparation

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 Content Creations skills and learned more, but not necessarily creative ways
- Used their Game Engine and/or programming skills in new, but not necessarily creative ways
- Code and hierarchy are mostly neat & commented, using correct conventions
- Good quality and prepared Group Presentations

Assessment criteria, excellent (5)

- Project contains all of the features outlined in the project plan
- Stayed on track with their planned milestones
- Used their Content Creations skills and learned more skills in a novel and creative ways
- Used their Game Engine and/or programming skills in a novel and creative ways
- Code and hierarchy are neat & commented, using correct conventions
- Group Presentations were excellent and well prepared

Qualifications

Game Development Essentials (5051259)

Objective

After completing the course the student:
- can define the specific characteristics and possibilities of the health technology sector
- can describe interfaces and applications of health technology from different perspectives
- can explain the ICT engineering competences needed in the field of health technology
- analyze his or her own skills, interests, strengths and development needed in this sector

Content

- Social and health care actors and processes
- Health technology sector
- Evaluation of the usability of a health technology product

Materials

Materials in the itsLearning workspace

Teaching methods

Lectures, exercises and Q&A sessions.
Materials and individual and group assignments shared on the ItsLearning platform

Exam schedules

None due to the nature of the implementation.

International connections

In the course, the basic topics of health technology are studied. The examples and tasks contain specific examples. The study course uses source material in English, which gives students the ability to understand international engineering literature, publications, standards, etc. When solving assignments, students are encouraged to work in a team. Digital study material and an electronic learning environment are used in a variety of ways in the course.

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

Completion alternatives

None.

Student workload

Health technology introduction and definitions, 1 cr
Health technology as an industry, 2 credits
Health technology research 2 credits

28h lectures/teaching
12h excercises and Q&A sessions
90h individual work and studying, excercise work, group work

Content scheduling

- Different areas and special features of the health technology. ICT in the context of health technology.
- Healthtech companies, trade associations and authorities. Employment, career paths. The current situation of the industry.
- Health technology research and projects at TUAS. HealthTech Lab.

Further information

Contact channels: Teams and email.Additional information in the itsLearning workspace

Evaluation scale

H-5

Assessment methods and criteria

All individual and group assignments must be approved to pass the course. Group work 40% of total assesment, individual excercises 60% of total assesment. All assignments are scaled 0-5.

Minimum 50% attendance on the lectures is mandatory to pass the course. Higher attendance rewards with a bonus for total grade in following way:
Bonus for grade 50-60% 0,1
60-70% 0,2
70-80% 0,3
80-90% 0,4
90-100% 0,5

Assessment criteria, fail (0)

Student has not met the requirements to pass the course. 50% attendance, approved grades from group and individual exercises.

Assessment criteria, satisfactory (1-2)

The student recognizes the field of the health technology industry and the opportunities it creates
The student knows the areas of health technology as well as its interfaces and applications
The student identifies some areas of knowledge in information and communication technology necessary for the tasks of an engineer in relation to the field of health technology
The student identifies his own skills, interests, strengths and development needs in the industry

Assessment criteria, good (3-4)

The student knows the field of the health technology industry and its special features, as well as the opportunities created by the industry
The student is able to describe the areas, interfaces and application areas of health technology from the perspective of a ICT engineer
The student can explain the areas of competence required for the tasks of an information and communication technology engineer in relation to the field of health technology
The student knows his own skills, interests, strengths and development needs in the industry

Assessment criteria, excellent (5)

The student knows how to define the field of the health technology industry and its special features, as well as the opportunities created by the field
The student is able to describe the areas, interfaces and applications of health technology from different perspectives
The student can explain the areas of competence required for the tasks of an information and communication technology engineer in relation to the field of health technology
The student knows how to analyze his own skills, interests, strengths and development needs in the industry

Objective

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

Content

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

Materials

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

Teaching methods

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

Exam schedules

No exam

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

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

International connections

Practical assignments and reports
Project work
Self-study

Completion alternatives

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

Student workload

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

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

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

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

Weekly working hours are 20.8 hours/week.

Content scheduling

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

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

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

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

Further information

the course's and theFIRMA itslearning and Microsoft Teams

Evaluation scale

H-5

Assessment methods and criteria

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

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

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

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

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

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

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

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

Accepted grade cannot be raised.

Assessment criteria, fail (0)

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

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

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

Assessment criteria, satisfactory (1-2)

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

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

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

Assessment criteria, good (3-4)

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

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

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

Assessment criteria, excellent (5)

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

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

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

Objective

Student obtains the skills and knowledge required for basic courses of mathematical sciences within polytechnical studies.

Content

• Real numbers
• Basic arithmetic operations and the order of operations
• Fractions
• Powers, roots and rational exponents
• Polynomials and polynomial equations of 1. and 2. degree
• Simplifying rational expressions
• Percentages
• Simultaneous linear equations
• Lines and parabolas
• Concepts of variable and function
• Graphs of functions and interpretation of graphs
• Basics of geometry and trigonometry
• International system of units, unit conversions
• Calculations involving quantities and units
• Field-specific content

Materials

Opettajan Itslearningin kautta jakama kurssimateriaali ja tehtävät
Taulukkokirja (MAOL tai TAM)
Funktiolaskin (Casio fx-82EX tai vastaava)

Teaching methods

Luento tyyppistä opetusta 2x2h tuntia viikossa (kaikille yhteisesti)
laskuharjoitus kerta 1x2h viikossa (perusryhmittäin A,B,C)

Lisäksi opiskelijalta odotetaan itsenäistä työskentelyä.

Exam schedules

1. osion välikoe (noin puolivälissä kurssai)
2. osion B välikoe (kurssin lopussa)

Välikokeiden tarkempi aikataulu ja sisältö tiedotetaan kurssin aikana kurssin Itslearning sivustolla.

Opintojakson loputtua tarjotaan kaksi uusintamahdollisuutta, jossa voi uusia joko 1. välikokeen, 2. osion välikokeen tai molemmat välikokeet. Uusintamahdollisuus koskee ainoastaan niitä opiskelijoita, joiden suoritus täyttää opintojakson läpäisyehdot aktiivisen läsnäolon ja palautettujen harjoitustehtävien osalta.

Completion alternatives

Opinto jaksoa ei voi suorittaa vain tenttimällä.

Student workload

Lähiopetus on noin 85 tuntia ja se koostuu luennoista sekä laskuharjoituksista.

Lisäksi kursilla oletetaan itsenäistä työskentelyä opiskelun, laskuharjoitellut ja kokeisiin valmistaumisen parissa noin 50 tuntia.

Kokonaistyömäärä on noin 135 tuntia.

Content scheduling

Opetus ja kokeet viikoilla 36-50 lukujärjestyksen mukaisesti. Uusintakokeet tammikuussa 2024.
Sisältö:
- Luvut ja niiden esitykset
- Laskutoimitukset kokonaisluvuilla ja murtoluvuilla
- Juuret ja potenssit
- Laskujärjestys
- SI-järjestelmä ja yksikönmuunnokset
- Polynomi- ja rationaalilausekkeet
- Ensimmäisen ja toisen asteen polynomiyhtälöt
- Lineaarinen yhtälöpari
- Prosenttilaskenta
- Kappaleiden pinta-aloja ja tilavuuksia
- Tiheys, massa ja tilavuus
- Kuvaajien tulkinta ja piirtäminen
- Tasainen ja tasaisesti kiihtyvä liike

Further information

Itslearning

Evaluation scale

H-5

Assessment methods and criteria

Opintojakson arviointiin vaikuttavat seuraavat suoritukset:

1. Aktiivinen osallistuminen lähiopetukseen, läsnäolo vähintään 75 %.
2. Molemmat välikokeet, kummastakin saatava vähintään 40 % kokonaispisteistä.
3. Palautettavat harjoitustehtävät, palautettava vähintään 30 % kummankin moduulin tehtävistä.

Opiskelijan osoittaessa aktiivista osallistumista opintojaksolla,hänen arvosanaansa voidaan nostaa
* puolella arvosanalla, jos hän on palauttanut vähintään 60 % kaikista tehtävistä
* yhdellä arvosanalla, jos hän on palauttanut vähintään 90 % kaikista tehtävistä

Assessment criteria, fail (0)

Opiskelija ei ole osoittanut saavuttaneensa opintojakson tavoitteita. Opiskelija tunnistaa ja osaa käyttää vain muutamia opintojakson aihepiirin käsitteitä eikä osaa soveltaa oppimaansa.

Hylätty arvosana seuraa, jos
1. opiskelija ei ole osallistunut lähiopetukseen riittävästi (alle 75 %)
2. opiskelija ei ole palauttanut riittävästi tehtäviä (alle 30 % per moduuli)
3. opiskelija ei ole suorittanut hyväksytysti toista tai kumpaakaan välikoetta (alle 40 % kummankin kokeen kokonaispistemäärästä)

Opintojakso hylätään myös, jos opiskelijan suorituksissa havaitaan vilppiä. Ensimmäinen havaittu vilppi tai vilpin yritys johtaa yksittäisen koe- tai tehtäväsuorituksen hylkäämiseen. Toinen havaittu kerta johtaa koko opintojaksosuorituksen hylkäämiseen.

Assessment criteria, satisfactory (1-2)

Opiskelija on osoittanut saavuttaneensa opintojakson tavoitteet tyydyttävästi. Opiskelija tunnistaa ja osaa jossain määrin hyödyntää opintojakson aihepiirin käsitteitä.

Assessment criteria, good (3-4)

Opiskelija on osoittanut saavuttaneensa opintojakson tavoitteet hyvin, vaikka tiedoissa ja taidoissa onkin joillain osa-alueilla vielä kehitettävää. Opiskelija osaa käyttää hyvin opintojakson aihepiirin käsitteitä ja soveltaa oppimaansa opiskelun ja työelämän tilanteissa.

Assessment criteria, excellent (5)

Opiskelija on osoittanut saavuttaneensa opintojakson tavoitteet kiitettävästi. Opiskelija hallitsee kiitettävästi opintojakson aihepiirin käsitteet ja osaa analysoida aihepiiriin liittyviä asioita sujuvasti ja perustellusti. Opiskelijalla on hyvät valmiudet soveltaa oppimaansa opiskelun ja työelämän tilanteissa.

Objective

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

• Configure switches and end devices to provide access to local and remote network resources.

• Explain how physical and data link layer protocols support the operation of Ethernet in a switched network.

• Configure routers to enable end-to-end connectivity between remote devices.

• Create IPv4 and IPv6 addressing schemes and verify network connectivity between devices.

• Explain how the upper layers of the OSI model support network applications.

• Use security best practices to configure a small network.

• Troubleshoot connectivity in a small network.

Content

CCNAv7 Introduction to Networks (ITN) course introduces students to networking architectures, models, protocols, and components. These components facilitate the connection of users, devices, applications and data through the internet and across modern computer networks. By the end of the course, students can perform basic configurations for routers and switches to build simple local area networks (LANs) that integrate IP addressing schemes and foundational network security.

Materials

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

Exam schedules

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

Student workload

Lecturing and laboratory work each week
Independent studying, including:

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

Content scheduling

Course covers the architecture, structure, functions and components of the Internet and other computer networks. Students achieve a basic understanding of how networks operate and how to build simple local area networks (LAN), perform basic configurations for routers and switches, and implement Internet Protocol (IP).
By the end of the course, students will be able to:

- Configure switches and end devices to provide access to local and remote netwok resources.
- Explain how physical and data link layer protocols support the operation of Ethernet in a switched network.
- Configure routers to enable end-to-end connectivity between remote devices.
- Create IPv4 and IPv6 addressing schemes and verify network connectivity between devices.
- Explain how the upper layers of the OSI model support network applications.
- Configure a small network with security best practices.
- Troubleshoot connectivity in a small network.

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 50%.
Detailed grading limits will be provided in course plan when course starts but past grading limits have been the following:

Less than 50% Fail
50-59% Grade 1
60-69% Grade 2
70-79% Grade 3
80-89% Grade 4
90% or higher Grade 5

Qualifications

Internet Networks and Security (5051215) or equal skill.

Objective

After completing the course the student:
- is familiar with Linux-based system use
- understands the concepts of virtual machines
- is able to install programs and modify settings
- can implement system security improvements

Content

- using Linux as an operating system
- virtual machine usage
- program installation and management
- enhancing system security

Materials

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

Exam schedules

Theory final exam and practical 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

Students who complete the course will be able to perform the following functions:

- Basic Linux command line skills
- How to use help commands and navigate help systems when using Linux
- How to work with Linux files and directories
- Search and extract data from Linux files
- Creating users and groups on a Linux system
- Managing Linux file permissions and ownership

Evaluation scale

H-5

Assessment methods and criteria

Laboratory assignments in lab and at home using virtual machines
Module exams
Theory final exam and practical exam.

The overall result is the sum of the all results of the assignments and exams, passing limit is 50%.
Detailed grading limits will be provided in course plan when course starts but past grading limits have been the following:

Less than 50% Fail
50-59% Grade 1
60-69% Grade 2
70-79% Grade 3
80-89% Grade 4
90% or higher Grade 5

Qualifications

Course Internet Networks and Security

Objective

By the end of this course, students can:

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

Content

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

Materials

Materiaali jaetaan oppimisympäristön (ITS) avulla.

Teaching methods

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

Exam schedules

-

International connections

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

Only electronic materials are used in the implementation.

Student workload

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

Content scheduling

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

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

Further information

ITS, email

Evaluation scale

H-5

Assessment methods and criteria

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

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

Assessment criteria, fail (0)

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

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

Assessment criteria, satisfactory (1-2)

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

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

Assessment criteria, good (3-4)

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

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

Assessment criteria, excellent (5)

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

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

Objective

By the end of this course, students can:

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

Content

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

Materials

Materiaali jaetaan itslearningissä.

Teaching methods

Tämä kurssi käyttää seuraavia oppimismenetelmiä:
- Luennot: teoreettinen tausta ja erilaisten Low Code/No-Code -kehysten ja ympäristöjen käytön esittely. Näitä kehyksiä/ympäristöjä voidaan käyttää esimerkiksi ohjelmisto-/pelikehityksessä tai mobiilisovellus- tai websovelluskehityksessä.
- Käytännön harjoitukset: luennoilla esiteltyjen LCNC-työkalujen käytön harjoittelu.
- Ryhmätyö: opiskelijat tekevät LCNC-projektin, jossa he käyttävät luennoilla ja harjoituksissa opittuja työkaluja ja taitoja.

Exam schedules

Ei tenttiä.

International connections

Opintojaksolla opitaan taitoja harjoitusten ja käytännön projektityön avulla.

Opintojaksolla käytetään vain sähköisiä materiaaleja.

Student workload

Opiskelija suorittaa kurssiin liittyviä tehtäviä, joiden arvioitu työmäärä:
- Teoriatunnit: 8 x 2h = 16h
- Käytäntötunnit: 10 x 2h = 20h
- Ryhmätyö: 2 x 2h = 4h
- Lopputapahtuma: 4h
- Muu itsenäinen/ryhmätyöskentely: noin 90h
YHTEENSÄ: 135h

Content scheduling

Tämä kurssi perehdyttää opiskelijan CDIO-viitekehyksen vaiheisiin "Toteuta" (Implement) ja "Käytä" (Operate) käyttäen Low-Code/No-Code -työkaluja. Opiskelijat suorittavat Low-Code/ No-Code (LCNC)-projektin, joka sisältää seuraavat vaiheet:
- Johdatus ohjelmistokehitykseen ja Low-Code/ No-Code -alustoihin
- Toteutus Low-Code/ No-Code -alustalla
- Testaus, palaute ja iteraatio

Kurssi toteutetaan viikkojen 39 - 50 aikana seuraavasti:
- Teoria, viikot 39 - 47: 2h/viikko kontaktitunti 8 viikon ajan
- Käytäntö, viikot 39 - 49: 2h/viikko kontaktitunti oman tuutorin kanssa
- Ryhmätyö, viikot 48-49: 2h/viikko itsenäinen työskentely
- Lopputapahtuma, viikko 50

Further information

Opettaja viestii kurssiin liittyvistä asioista itslearningissä.

Jos opiskelijalla on kysyttävää, hänen tulee lähettää sähköpostia opettajalle/tutorille.

Evaluation scale

H-5

Assessment methods and criteria

Kurssin arviointiin vaikuttavat:
- aktiivinen osallistuminen
- harjoitustehtävien ajoissa palauttaminen
- lopullisen LCNC-projektin tulos

Lisätiedot arvioinnista kerrotaan ensimmäisellä luennolla.

Assessment criteria, fail (0)

Kurssisuoritus on hylätty, jos
- opiskelija ei osallistu riittävästi lähiopetustilaisuuksiin (luennot, harjoitukset, ryhmätyö)
- opiskelija palauttaa alle 50% tehtävistä määräajassa

LCNC-projektiin osallistuminen ja sen tulos:
Opiskelija ei osallistu aktiivisesti projektiin tai hänellä ei ole esitettävää lopputapahtumassa.

Assessment criteria, satisfactory (1-2)

Osallistuminen: Mukana kontakti- ja harjoitustunneilla vähintään 75%.
Harjoitustehtävät: 50% - 70% tehtävistä tehty määräajassa.

LCNC-projektiin osallistuminen ja sen tulos: Osallistuu projektiin, mutta vertaispalautteen mukaan vähemmän kuin muut JA projektiryhmä esitti tuotoksensa lopputapahtumassa.

Assessment criteria, good (3-4)

Osallistuminen: Mukana kontakti ja harjoitustunneilla vähintään 85%.
Harjoitustehtävät: 70% - 95% tehtävistä tehty määräajassa.

LCNC-projektiin osallistuminen ja sen tulos: Osallistuu projektiin ja aktiivisuus projektissa vertaispalautteen mukaan vähintään keskitasoa JA projektiryhmä esitti tuotoksensa lopputapahtumassa.

Assessment criteria, excellent (5)

Osallistuminen: Mukana kontakti ja harjoitustunneilla vähintään 90% päivänä.
Harjoitustehtävät: Vähintään 95% tehtävistä tehty määräajassa.

LCNC-projektiin osallistuminen ja sen tulos: Osallistuu projektiin ja aktiivisuus projektissa vertaispalautteen mukaan parempi kuin ryhmän keskiarvo JA projektiryhmä esitti lopputapahtumassa tuotoksensa JA opiskelija osoitti innovatiivisia tapoja käyttää LCNC-työkaluja sekä ymmärrystä teknisistä ja projektinhallinnan taidoista.