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 87 hours
All course work is individual

Content scheduling

Course starts on 29.8.2022 and ends 21.10.2022. The course is held onsite at campus with close contact. Each student attending to the laboratory must follow the Covid-19 guidelines.
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 31.10.2023

Further information

Each student attending to the laboratory must follow Covid-19 guidelines.

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 75 % 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.
Late submission will affect negatively to the evaluation. Last assignment must be returned before 30.10.2023

Assessment criteria, fail (0)

Student submits less than 75% of the assignments

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

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 48 hours
- Individual homework 87 hours
All course work is individual

Content scheduling

Course starts on 30.10.2022 and ends 14.12.2022. The course will be held onsite at game laboratory. Tasks and guidance are given at the laboratory classroom.

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 19.12.2022.

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

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 75 % 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 20.12.2023

Assessment criteria, fail (0)

Student submits less than 75% of the assignments

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Objective

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

Content

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

Materials

Contact sessions twice a week lecture 2h and labworking 3h. Group chat on Discord for those who are interested. Course material and information shared through itslearning.

Teaching methods

Weekly contact sessions and weekly assignments.

Exam schedules

There are no exams on this coure.

Completion alternatives

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

Student workload

One lecture 2h, one labwork session 3h. One prelab and one weekly assignment per week. Prelab is starter for the weekly assignment and it need to be done before labwork. During labwork student is working with weekly assignment. Weekly assignment is finished independently.

Estimated work time is 9 hours every week (5 in contact session and 4 independent work) that make 135 hours total.

Content scheduling

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

Course starts at week 2 and last contact session is at week 17 Totally 15 times. Assignments changes every week and assignments need to be returned before next weeks contact session.

Lesson 1: Blender GUI and primitives
Lesson 2: Modeling - "box modeling"
Lesson 3: Modeling - from scratch "polygon modeling"
Lesson 4: Modeling - Boolean modeling
Lesson 5: Modeling - retopology
Lesson 6: Modeling - Sculpting
Lesson 7: Modeling - Own modeling work
Lesson 8: Materials - Materials and Lightning (Cycles)
Lesson 9: Materials - UV map and textures
Lesson 10: Materials - Texture baking
Lesson 11: Animation - Animation tools
Lesson 12: Animation - Animation with bone parenting
Lesson 13: Animation - Character rigging
Lesson 14: Animation - Walk cycle
Lesson 15: Animation - Drivers and shape keys

Further information

Course material and information shared through itslearning.

Evaluation scale

H-5

Assessment methods and criteria

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

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

Assessment criteria, fail (0)

Student submits less than 75% of the assignments

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Objective

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

Group work and independent work, project work, online/on-site activities

Exam schedules

no exam

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.

Student workload

Assignments, lectures, self study: 135 hours
Project work: 135 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

-

Evaluation scale

H-5

Assessment methods and criteria

Assignments and reports: diagnostic assessment.

Project work: formative assessment based on self and peer assessment, customer’s feedback (if available) and project manager’s feedback.

Assessment criteria, fail (0)

No show, not carrying out responsibilities, disappearing from project, lack of communication with project team.

Assessment criteria, satisfactory (1-2)

Satisfactory performance both in project work and independent work.

Assessment criteria, good (3-4)

Good performance both in project work and independent work.

Assessment criteria, excellent (5)

Excellent performance both in project work and independent work.

Materials

Materials used in the course:

1. ISO27005 standardi
2. Sutton, David (2021): Information security risk management : a practitioner's guide: https://ebookcentral.proquest.com/lib/turkuamk-ebooks/detail.action?docID=6733537
3. Ilmonen, I. & al. (2022): Johda riskejä: käytännön opas yrityksen riskienhallintaan: https://turkuamk.finna.fi/Record/turkuamk.995697291505970?sid=3091696371
4. https://www.enisa.europa.eu/publications/interoperable-eu-risk-management-framework
5. Enisa Threat Landscape 2023 https://www.enisa.europa.eu/publications/enisa-threat-landscape-2023

And potentially other relevant materials

Teaching methods

Theoretical part through lectures and independent study. Guidance through remote meetings as needed. Practical risk assessment work requires acquiring the target company and maintaining communication with the responsible party. On site meetings for guidance, peer support, sharing experiences, project presentations, and evaluations in the upcoming days

International connections

Active project-based learning and problem-solving

Completion alternatives

-

Student workload

Review of the theory section of the information security risk management course and an extensive risk management project

Content scheduling

Information and Cybersecurity are critical areas in modern organizations, and the importance of risk management has been further emphasized. This practical project-based course in risk management provides students with an opportunity to apply the principles and methods of information and cybersecurity risk management in practice. The course aims to develop students' skills in risk identification, assessment, and management, preparing them for future careers in the field of information and cybersecurity.

Course Content:

Prerequisite for this course is a course in information security risk management, covering the ISO 27005 standard risk management process. Students should have a good understanding of the stages of the information and cybersecurity risk management process, including risk identification, assessment, management, and monitoring. The process and stages are reviewed at the beginning of this course.

The student acquires a small or medium-sized organization for which they will conduct a risk assessment. The student is responsible for contacting the organization's representatives. The work can be done individually or in pairs

Students will apply the ISO 27005 standard, along with other risk management frameworks and best practices, to their selected target organization. They will perform the risk assessment and document the results. At the end of the course, students will compile a final report, including the risk assessment findings and recommendations for the target organization. They will present their findings to the class and possibly to representatives from the chosen organization.

Requirements:

Participation in this course requires prior knowledge of information and cybersecurity risk management. Students must also select a target organization for the risk assessment.

This course offers students a unique opportunity to apply their knowledge of risk management to a real-world project and prepares them for careers in the field of information and cybersecurity.

Timeframe:
Spring 2024. Bi-weekly in-person meetings and bi-weekly online meetings based on separate reservations

Evaluation scale

H-5

Assessment methods and criteria

Review task for the theory section 10%
Implementation, documentation, and feedback from the organization for the risk assessment 90%

Assessment criteria, fail (0)

No risk assessment has been conducted

Assessment criteria, satisfactory (1-2)

A brief risk assessment and satisfactory feedback from the organization.

Assessment criteria, good (3-4)

A fairly comprehensive risk assessment and positive feedback from the organization

Assessment criteria, excellent (5)

A comprehensive risk assessment and excellent feedback from the organization

Materials

Task-specific material to be announced separately in Its Learning

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

International connections

Innovation pedagogy

Completion alternatives

Ask the teacher about possible alternative methods of execution

Student workload

135h

Content scheduling

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

Course material and assignments in Its Learning.

Evaluation scale

H-5

Assessment methods and criteria

The subject of the evaluation is the familiarity with the design context conveyed by task feedback, documentation, presentations and discussions, the creativity and versatility of attitudes and views when looking for a design solution, as well as the care and understanding of the meaning of the design and implementation of the evaluation.

Objective

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

Content

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

Materials

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

Teaching methods

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

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

Mandatory participation for 70% of the close contact and laboratory sessions.

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:
-First lecture and individual assignment 6h
-Assisted laboratory work: 119 hours
-Homework: 10h
Course has individual work and 2 group assignments.

Each group assignment:

- We will introduce the topic, present the learning material and define the assignment deliverable;
- Student groups will be required to conduct independent preliminary research on the assignment topic;
- Student groups must familiarize themselves with the assignment technology.
- Student groups must conduct the work to complete the assignment deliverable.

All assignment submissions will be demo presentation for 15 minute of the group’s assignment deliverable.

Content scheduling

1st Session
Course, Technology and assignment introductions.
Individual assignments
2nd Session
Students starts working with Unity Create With VR Material
8th Session
Student groups starts working with VR-projects and complete assignment’s instructions.
13th Session
Student groups present their VR-projects and AR Workshop
15th Session
Student groups starts working with AR-projects and complete assignment’s instructions.
18th Session
Student groups present their AR-projects and course ends.

Further information

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

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

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

Evaluation scale

H-5

Assessment methods and criteria

Mandatory participation for 70% of the close contact and laboratory sessions.
The course consists of 2 group assignments.
- Assignment 1: Create a VR project based on the instructions
- Assignment 2: Create an AR enhanced application

The class will be divided into groups of 4 students each. - Each group will complete both assignments.

Student groups must submit all individual assignments and 2 group assignments to be eligible to pass the course - failure to submit an assignment will cause the entire group to fail the course. The group work will be assessed as peer evaluation.

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

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

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

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

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

Assessment criteria, fail (0)

Failure to submit individual assignment or any of the 2 group assignments will cause the entire group to fail the course.
Individual non-participation as determined by the peer-evaluation will also lead to failing the course.
Failure to participate for 70% of the close contact and laboratory sessions.

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

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

Objective

After completing this course student can:

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

Content

Basic use of Git locally and Git remotes.

Materials

In Itslearning
Internet

Teaching methods

Self study
Practical assignment

Exam schedules

No exam

International connections

Self study

Completion alternatives

-

Student workload

Practical assignment and self study 27 hours

Assessment criteria, approved/failed

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

Content scheduling

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

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

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

Further information

Itslearning

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

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

Quality of the returned assignment.

Objective

After completing the course the student can:
- describe basic solutions for data architectures and big data
- select and use suitable data architecture
- apply ETL process and tools for handling of big data

Content

Architecture and Components of Big Data Frameworks
ETL process with Big Data for batch and streaming
Practical work with suitable tools and frameworks

Materials

Teacher provided lecture material
Supporting public online material
Teacher provided virtual machines
All needed material (or at least a link to them) will be available in itslearning.

Teaching methods

Contact learning, practical exercises, independent study

International connections

Given examples and exercises support each topic studied during the lectures. Additional material in the form of tutorials and reliable information sources is provided.

Student workload

Contact hours 56 h
Inpendent studying 79h, including:
- Studying the course material
- Completing exercises
- Project

Content scheduling

-Introduction to data engineering
-The basic idea of data engineering methods and pipelines
-different components
-integration of said components (MQ systems)
-data engineering frameworks (Apache family)

Further information

Itslearning and contact classes are the main communication channels used on this course.

The student is required to have a computer capable of running a simple Ubuntu virtual machine.

Evaluation scale

H-5

Assessment methods and criteria

Homework exercises returned throughout the course
Small project at the end of the course

Objective

After completing the course the student can:
- describe basic solutions for data architectures and big data
- select and use suitable data architecture
- apply ETL process and tools for handling of big data

Content

Architecture and Components of Big Data Frameworks
ETL process with Big Data for batch and streaming
Practical work with suitable tools and frameworks

Materials

Teacher provided lecture material
Supporting public online material
Teacher provided virtual machines
All needed material (or at least a link to them) will be available in itslearning.

Teaching methods

Contact learning, practical exercises, independent study

International connections

Given examples and exercises support each topic studied during the lectures. Additional material in the form of tutorials and reliable information sources is provided.

Student workload

Contact hours 56 h
Inpendent studying 79h, including:
- Studying the course material
- Completing exercises
- Project

Content scheduling

-The basic idea of data engineering methods and pipelines
-different components
-integration of said components (MQ systems)
-data engineering frameworks (Apache family)
-The goal of the course is to be able to build a data pipeline from start to finish

Further information

Itslearning and contact classes are the main communication channels used on this course.

The student is required to have a computer capable of running a simple Ubuntu virtual machine.

Evaluation scale

H-5

Assessment methods and criteria

Homework exercises returned throughout the course
Small project at the end of the course

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 1-3 oppitunneilla, 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. 90 h.
Itsenäistä työskentelyä (opiskelumateriaali, tehtävät, osakokeisiin valmistautuminen) 45 h.
Yhteensä 135 h.

Content scheduling

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

2x2h luento + 2h laskuharjoitus viikottain, 15 viikkoa

Further information

Edeltävyysehdot: Insinöörimatematiikan perusteet tai vastaavat tiedot ja taidot

Evaluation scale

H-5

Assessment methods and criteria

Arvosana perustuu osakokeiden pistemääriin. Osakokeiden pistemäärää voi lisätä tekemällä kotitehtäviä. Itslearning alustalla julkaistaan taulukko, jonka perusteella suoritukset muutetaan kurssiarvosanaksi.

Qualifications

Precalculus course or equivalent skills

Objective

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

Content

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

Materials

ITSL-alustalta löytyvä luento- ja tehtävämateriaali.

Teaching methods

Lähiopetus-luennot.
Tehtävien tekeminen yksin ja ryhmässä.
Kokeet

Exam schedules

Kaksi osakoetta.
OSAKOE1 on puolessa välissä kurssia oppituntien 1-12 jälkeen. Yksi uusinta.
OSAKOE2 on kurssin lopussa oppituntien 13-22 jälkeen. Yksi uusinta.
Kurssin päätyttyä kummankin osakokeen voi uusia vielä yhden kerran.

Student workload

Luennot 22*2h
Laskuharjoitukset 22*1h
Kokeet 2*2h
loppu opiskelijan itsenäistä opiskelua

Content scheduling

Differentiaalilaskenta:
1 Muutosnopeus
2 Raja-arvo
3 Derivaatan määritelmä
4 Polynomin derivointi
5 Funktion kulkukaavio
6 Derivaattafunktion kuvaaja
7 Derivointikaavoja
8 Yhdistetyn funktion derivointi
9 Potenssin derivointi
10 Eksponentin ja logaritmin derivointi
11 Derivointimenetelmiä
12 Differentiaali

Integraalilaskenta:
13 Integraalifunktio
14 Integrointikaavoja
15 Yhdistetyn funktion integrointi
16 Määrätty integraali
17 Määrätyn integraalin ominaisuuksia
18 Pinta-ala
19 Tilavuus
20 Funktion keskiarvot
21 Integroituva differentiaaliyhtälö
22 Separoituva differentiaaliyhtälö

Further information

Sähköposti.

Evaluation scale

H-5

Assessment methods and criteria

Arvosana määräytyy osakokeista saadun yhteispistemäärän (max. 20+20=40) ja kotitehtävistä saadun pistemäärän (max. 10) perusteella seuraavan taulukon mukaisesti (osakokeista täytyy saada yhteensä vähintään 16 pistettä päästäkseen läpi kurssista):

Yhteispistemäärä Arvosana
0-15: 0
16-22: 1
23-29: 2
30-35: 3
36-42: 4
43-50: 5

Assessment criteria, fail (0)

Arvosanataulukon mukaan.

Assessment criteria, satisfactory (1-2)

Arvosanataulukon mukaan.

Assessment criteria, good (3-4)

Arvosanataulukon mukaan.

Assessment criteria, excellent (5)

Arvosanataulukon mukaan.

Qualifications

Precalculus course or equivalent skills

Objective

By the end of the course students will have the knowledge to:
• Create a podcast concept
• Understand how to brand a podcast
• Assess and chooses recording equipment
• Script, record, and edit a podcast
• Understand the different distribution channels and assess their strengths and weaknesses
• Know how to market and promote a podcast
• Understand IPR and know where to access royalty free music

Content

Podcast concept and research
Branding
Scripting
Recording
Audio editing
Distribution
Transcription
Marketing
IPR

Materials

Teacher supplied material as required

Teaching methods

Interactive classroom lectures and group work. Students will work in self-assigned groups drawing from research and their own ideas, opinions and experiences.

Exam schedules

There is no exam for this course

International connections

Students will learn the process of podcast creation from initial concept through to recording and editing a finished 20 minute podcast episode. The course will include:
Developing a podcast concept
Creating a brand - including name and logo
Scripting
Transcription - AI as a help
Distribution channels
Recording - equipment, room requirements
Audio editing
Marketing
IPR

Completion alternatives

None

Student workload

Classroom activities: 30 h
Group work: 20 h

Content scheduling

Podcast concepting and research
Researching podcast themes
Researching audiences
Researching niche opportunities
Researching formats - Interviews, music, discussion, reporting?
Researching how using AI can help with the concept

Further information

This course is for anyone with an interest in starting a podcast. It is practical with a strong emphasis on learning by doing. By the end of the course each group will have a fully defined podcast concept, a clear brand outline, a marketing roadmap and one ready to publish podcast episode in the bag. Although the language of instruction is English your podcast can be recorded in your language of preference.

Evaluation scale

H-5

Assessment methods and criteria

Assessment is a combination of teacher observation of student commitment, effort and engagement during lessons together with the standard of 4 completed classroom task based assignments. Students will be assessed on overall communicative competence and language appropriacy within specific communication contexts

Assessment criteria, fail (0)

The student has insufficient attendance (has been absent in more than 4 classes). The student has not completed all the tasks. The student has completed tasks but they are not of an acceptable standard.

Assessment criteria, satisfactory (1-2)

The student has completed the tasks with the minimum of set requirements stated in the task instructions. The student has completed tasks later than the given deadlines. The student has not addressed feedback provided by the teacher.

Assessment criteria, good (3-4)

The student has completed the tasks well fulfilling most of the set requirements stated in the task instructions. The student has completed tasks within the given deadlines. The student has partly addressed feedback provided by the teacher. The student has reflected on their own performance and has been given peer feedback.

Assessment criteria, excellent (5)

The student has completed the tasks very well fulfilling or surpassing the set requirements as stated in the task instructions. The student has completed tasks within the given deadlines or earlier and has addressed feedback provided by the teacher. The student has been giving quality peer feedback.

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

Understanding Cryptography by C. Paar and J. Pelz (Springer, 2010). Available in the library. Some chapters are available for free online.
Various internet sources, links & descriptions are provided in Itslearning.

Teaching methods

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

Exam schedules

Exam dates will be published on ItsLearning

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 share 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

By Exam:
If you choose to take the exam, your grading will be based on the following criteria:

Exercises: 40%
Project: 20%
Final Exam: 40%

By Assignments:
If you choose to complete the course by assignments then the following grading will be followed:

Exercises: 80%
Project: 20%

Regardless of the option you choose, we will follow the grading scale below:

Below 40%: F
40-59%: 1
60-79%: 2
80-85%: 3
86-90%: 4
90-100%: 5

.

Student workload

Classroom activities participation
Homework
Project work
Final exam (optional)

Content scheduling

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

January – April 2024.

Further information

Timetables in lukkari.turkuamk.fi.
Other practical information & materials in Itslearning.

Evaluation scale

H-5

Assessment methods and criteria

If you choose to take the exam, your grading will be based on the following criteria:

Exercises: 40%
Project: 20%
Final Exam: 40%

Otherwise, the grading will be as follows:

Exercises: 80%
Project: 20%

Regardless of the option you choose, we will follow the grading scale below:

Below 40%: F
40-59%: 1
60-79%: 2
80-85%: 3
86-90%: 4
90-100%: 5

.

Assessment criteria, fail (0)

Below 40%: F

Assessment criteria, satisfactory (1-2)

40-59%: 1
60-79%: 2

Assessment criteria, good (3-4)

80-85%: 3
86-90%: 4

Assessment criteria, excellent (5)

90-100%: 5

Qualifications

Basics of Mathematical Analysis, Number Theory and Algorithmics

Evaluation scale

H-5

Objective

After successfully completing the course the student
- knows the most common industrial control systems and their key components
- can describe various cyber threats against industrial control systems and operations technology as well as their relevance
- understands how an industrial network protocol is utilized in an industrial control system
- can prepare a plan to protect industrial control system components
- knows the defense-in-depth safety principles for industrial control systems

Content

In the practical, hands-on lab exercises students
- test the functionality of industrial networks and weaknesses in industrial protocols
- plan and implement security enhancements in zone crossing conduit scenarios
- analyze the telemetry data of a programmable logic controller

Evaluation scale

H-5

Objective

After completing the course the student:
- Can define the main concepts related to machine learning
- Understands the value and the drivers for machine learning
- Can describe the processes of machine learning
- Can use some tools for data analytics and machine learning

Content

Machine learning process and methods
Practical work

Materials

Course book:

Aurélien Géron.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
2nd Edition.
Publisher : O'Reilly Media; 2nd edition
(October 15, 2019)

We study chapters 1, 2, 3, 4, 6, 9, and 10 of the book. They have about 300 pages, but some are skipped over.

The course book can be read in electronic form from our institution's eBook Central database.

The course also has reading material, which will be announced during the course.

Exam schedules

No Exam.

International connections

The course includes approximately 13 guided working and theory sessions, 9 personal practice tasks and a group work final project.
*
Final project is done in groups of 3-4 people outside of guidance sessions. The group sets aside 15 minutes to present the group work during the last session.

Student workload

Contact hours (approximately):
- One introductionary session: 2h
- 13 times 3h theory and practice: 13 x 3h = 39 hours
- Final projects and presentations: 24 hours

Home work: approximately 70 hours

Total: approximately: 135 hours

Content scheduling

- Week 03: Course Introduction
- Week 04: Landscape of machine learning
- Week 05: Data exploration
- Week 06: Data preparation
- Week 07: Model training, selection, and evaluation
- Week 08: Winter break - Visualization (self-study)
- Week 09: Demonstrations of Exercises 1 – 4
- Week 10: Classification
- Week 11: Training models
- Week 12: Decision trees
- Week 13: Unsupervised learning
- Week 14: Guidance to team work
- Week 15: Introduction to Neural networks
- Week 16: Demonstrations of Exercises 5 – 9
- Week 17: Team work presentations


We proceed in general according to the chapters in the course book.

Further information

Qualifications:

- Python programming skills and skills in utilizing Pandas for data manipulation and Numpy for numerical operations and array handling are required.
- Basic knowledge of probability, statistics and linear algebra is also beneficial.

Evaluation scale

H-5

Assessment methods and criteria

- The course is graded on a scale of 0-5.
- In order to receive an approved performance, the student must receive an acceptable mark for both 1) personal practice tasks (exercises) and 2) teamwork project.
- You get points from the 9 homework exercises, which affect the evaluation by 3 units.
- Occasionally, there may be classwork exercises, but their points are mostly optional and are considered as bonuses.
- The project work also affects the evaluation by 2 units. The project work is graded in ITS from 0 to 5, which is influenced by both the teacher's assessment and the peer assessment given by the rest of the project team.
- The course can only be passed by doing both personal practice tasks and participating in teamwork project.

Assessment criteria, fail (0)

The student does NOT participate in the project work or gets the project work grade 0 (Failed) OR did not get at least 40% 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 60-84% of the points for the exercises in the course AND got a grade of 3 - 4 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:
- 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 sessions when 3 hours for theory and practical exercises.
Additionally, weekly 1h sessions for questions and support in exercises.

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

-

Student workload

Contact hours
- Course introduction: 3 hours
- 12 times 3h theory and practice: 12 x 3h = 36 hours
- 10 times Questions & Support: 10 x 1h = 10 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 130 hours

Content scheduling

Week 2: Course introduction

Weeks 2 - 15
- 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 points from practical exercises in class room and home work exercises.
Around half of the exercises are done during the contact hours.

Additionally, there is an exam during the last contact session that will be used an option to pass the course with grade 1 or 2.

Assessment criteria, fail (0)

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

Assessment criteria, satisfactory (1-2)

50% - 69% points in the exercises OR student has passed the test in the final contact session.

Assessment criteria, good (3-4)

70% - 89% points in the exercises.

Assessment criteria, excellent (5)

At least 90% points in the exercises.

Qualifications

Introduction to Programming, or equivalent programming skills

Objective

The objective of the course is to give the students some basic Japanese language and cultural readiness. By the end of the course, the students have learned some useful phrases in Japanese. The cultural topics include group orientation, time concepts, hierarchy, politeness, food culture etc.

Content

- Introduction: What is culture?
- Verbal and Non-verbal communication
- Indirect communication: the Japanese never say “no”?
- Concept of time
- Group orientation vs. Individual orientation
- Hierarchy & Formality
- Politeness
- Gender role
- Food culture
- Language

For the cultural module students are given two written assignments, one individual and one group task.

Content scheduling

Lessons on Wednesdays at 16-18 on weeks 2-14. (No lesson on winter holiday week 8.)

Evaluation scale

Hyväksytty/Hylätty

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:
- 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 (which is not mandatory) will take place in week 45.

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.

Completion alternatives

If a student wants to pass the course without submitting the reports, this needs to be agreed upon with the teacher.

Student workload

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

8 written reports on lab assignments and 1 lab test. Work will be distributed throughout the duration of the course.

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

Course has two parts:

Part 1: Introduction to electrical measurements
- 4 assignments (70 %)
- Lab test (30 %) on week 45 (NOT mandatory!)
Part 2: Introduction to electronics
- 4 assignments

Weighing
- Part 1: 60 % of final grade
- Part 2: 40 % of final grade

Both parts must be passed!

Each assignment: grade 0–5 (not returned: -3). The test: grade 0–5. Using these grades, I’ll calculate the average grades for course parts 1 and 2 and weigh them in the 60-40-ratio to help determine the final grade.

Much more detailed instructions can be found on ITSlearning and will be explained during the first lecture.

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:
- 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

Evaluation scale

H-5

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:
- 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

Evaluation scale

H-5

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 is able to:
•analyze and design simple electronic circuits
•measure electric signals with a multimeter, oscilloscope and a logic analyser
•design and implement simple electronic circuit boards

Content

•resistors, capacitors and diodes
•bipolar transistors and field effect transistors
•basic electronic measurement devices like, multimeters, oscilloscopes and signal generators
•electronic circuits boards

Evaluation scale

H-5

Objective

After completing the course the student is able to:
•use C/C++ programming language with microcontrollers
•understand basic I/O of a microcontroller
•interface common sensors and motors to microcontrollers

Content

•C/C++ programming language
•architecture of a microcontroller
•basic I/O constructions
•maximum voltages and currents of a microcontroller
•serial communication of a microcontroller.

Materials

Will be announced at the beginning of the course.

Teaching methods

Hands-on lab exercises

Exam schedules

No exam.

Since there is no exam, there is no possibility to retry the course if the number of completed laboratory exercises is below the acceptance criteria.

Completion alternatives

In case the student has suitable equipment at home, it is possible to complete the laboratory exercises partially.

If the student has an existing hobby-project, the contents of the course will be matched to the hobby-project and it is possible to complete some or all of the lab exercise. This must be agreed with teacher beforehand and there must be a clear evidence of the work, like git repository + a working demo.

Content scheduling

This course is a laboratory course, where presence is mandatory. In case the student has suitable equipment at home, it is possible to complete the laboratory exercises partially.

There are 10 lab sessions in total, 4 hours each.

Further information

Teams, Git

Evaluation scale

H-5

Assessment methods and criteria

Grading will be based on the number of completed laboratory exercises. There is a possibility to select either basic level or more challenging level, which will affect the amount of work and the number of credit points, respectively.

Assessment criteria, fail (0)

Less than 50% of lab exercises completed

Assessment criteria, satisfactory (1-2)

1: >50% of lab exercises completed
2: >60% of lab exercises completed0% of lab exercises completed

Assessment criteria, good (3-4)

3: >70% of lab exercises completed
4: >80% of lab exercises completed

Assessment criteria, excellent (5)

100% of lab exercises completed

Objective

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

Content

Embedded IoT application development for Linux platform

Materials

Study material is distributed during the course

Teaching methods

Weekly lab sessions

Exam schedules

TBD

International connections

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

Completion alternatives

-

Student workload

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

Content scheduling

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

Further information

Itslearning
(Teams)
Gitlab

Evaluation scale

H-5

Assessment methods and criteria

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

Assessment criteria, fail (0)

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

Assessment criteria, satisfactory (1-2)

1: >50 points
2: >60 points

Assessment criteria, good (3-4)

3: >70 points
4: >80 points

Assessment criteria, excellent (5)

5: >90 points

Qualifications

System software
IoT Essentials

Objective

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

Content

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

Materials

Teacher presentation material and internet resources

Teaching methods

Interactive workshops. Students are encouraged to participate as actively as possible in discussion and set tasks drawing from their own ideas, opinions and experiences.

Exam schedules

There is no exam for this course.

International connections

The content of the course is designed to enhance overall English language communication skills. Examples include the ability to form relationships, present, support and defend own ideas and opinions, decide on appropriate forms of communication for different situations and demonstrate an ability to use different digital tools for effective communication. Students will complete tasks individually, in pairs and groups to enhance communication and interpersonal skills and reflect the reality of working life.

Completion alternatives

None

Student workload

Classroom activities: 28 h
Individual work: 45 h
Pair and group work: 57 h

Content scheduling

You will primarily focus on practical spoken communication skills with an emphasis on how English is used in real world working life situations. During the autumn the following areas will be addressed:

Breaking the ice
CVs and Linkedin
Email and other forms of digital communication
Team Presentation
Elevator Pitch
Team based problem solving projects

N.B. Teacher reserves the right to make changes to the above as required.

Further information

Emphasis is very much placed on clear, unambiguous and understandable communication. You will not be downgraded for grammatical, word order or other errors that do not interfere with overall understanding. Although emphasis in class is placed on spoken communication not everyone is a natural orator. You will not be marked down for a lack of fluency - effort and willingness to try are enough.

Evaluation scale

H-5

Assessment methods and criteria

Assessment is a combination of teacher observation of student commitment, effort and engagement during lessons together with the standard of 4 submitted task based assignments. Students will be assessed on overall communicative competence and language appropriacy within specific communication contexts.

Assessment criteria, fail (0)

Failed (0)
The student has insufficient attendance (has been absent in more than 4 classes). The student has not completed all the tasks. The student has completed tasks but they are not of an acceptable standard.

Assessment criteria, satisfactory (1-2)

The student has completed the tasks with the minimum of set requirements stated in the task instructions. The student has completed tasks later than the given deadlines. The student has not addressed feedback provided by the teacher.

Assessment criteria, good (3-4)

The student has completed the tasks well fulfilling most of the set requirements stated in the task instructions. The student has completed tasks within the given deadlines. The student has partly addressed feedback provided by the teacher. The student has reflected on their own performance and has been given peer feedback.

Assessment criteria, excellent (5)

The student has completed the tasks very well fulfilling or surpassing the set requirements as stated in the task instructions. The student has completed tasks within the given deadlines or earlier and has addressed feedback provided by the teacher. The student has been giving quality peer feedback.

Objective

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

Content

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

Materials

Teacher presentations and internet resources

Teaching methods

Interactive workshops. Students are encouraged to participate as actively as possible in discussion and set tasks drawing from their own ideas, opinions and experiences.

Exam schedules

There is no exam for this course.

International connections

The content of the course is designed to enhance overall communication skills. Examples include the ability to form relationships, present, support and defend own ideas and opinions, decide on appropriate forms of communication for different situations and demonstrate an ability to use different digital tools for effective communication. Students will complete tasks individually, in pairs and groups to enhance communication and interpersonal skills.

Completion alternatives

None

Student workload

Classroom activities: 28 h
Individual work: 45 h
Pair and group work: 57 h

Content scheduling

You will focus on using practical spoken communication skills in English to complete a variety of group based tasks and projects. Course aims and goals include building confidence to use English, improve overall fluency and build active vocabulary.

Breaking the ice
Team Presentation
Elevator Pitch
Team based problem solving projects

N.B. Teacher reserves the right to make changes to the above as required.

Further information

Emphasis is very much placed on clear, unambiguous and understandable communication. You will not be downgraded for grammatical, word order or other errors that do not interfere with overall understanding. Although emphasis in class is placed on spoken communication not everyone is a natural orator. You will not be marked down for a lack of fluency - effort and willingness to try are enough.

Evaluation scale

H-5

Assessment methods and criteria

Assessment is a combination of teacher observation of student commitment, effort and engagement during lessons together with the standard of 4 completed classroom task based assignments. Students will be assessed on overall communicative competence and language appropriacy within specific communication contexts.

Assessment criteria, fail (0)

Failed (0)
The student has insufficient attendance. The student has not completed all the tasks. The student has completed tasks but they are not of an acceptable standard.

Assessment criteria, satisfactory (1-2)

The student has completed the tasks with the minimum of set requirements stated in the task instructions. The student has completed tasks later than the given deadlines. The student has not addressed feedback provided by the teacher.

Assessment criteria, good (3-4)

The student has completed the tasks well fulfilling most of the set requirements stated in the task instructions. The student has completed tasks within the given deadlines. The student has partly addressed feedback provided by the teacher. The student has reflected on their own performance and has been given peer feedback.

Assessment criteria, excellent (5)

The student has completed the tasks very well fulfilling or surpassing the set requirements as stated in the task instructions. The student has completed tasks within the given deadlines or earlier and has addressed feedback provided by the teacher. The student has been giving quality peer feedback.

Objective

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

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

Content

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

Materials

All needed material will be available online in https://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 describes the architecture, components, operations, and security to scale for large, complex networks, including wide area network (WAN) technologies. The course emphasizes network security concepts and introduces network virtualization and automation. Students learn how to configure, troubleshoot, and secure enterprise network devices and understand how application programming interfaces (API) and configuration management tools enable network automation.

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

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

Evaluation scale

H-5

Assessment methods and criteria

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


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

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

Qualifications

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

Objective

After completing the course the student:
masters JavaScript and can use some of the most important libraries in developing browser user interfaces
can implement dynamic and responsive browser user interfaces that are usable in variety of devices
masters AJAX technology and JSON data-interchange format
can use efficient tools in browser scripting

Content

JavaScript
jQuery
Doing asynchronous requests with AJAX
JSON data-interchange format
Tools for developing browser interfaces
Implementing a small scale dynamic and responsive browser user interface

Materials

The course books (Selected parts)
*
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
*
Learning React : Modern Patterns for Developing React Apps
2nd edition
Alex Banks and Eve Porcello
Available in ProQuest EBook Central
*
Only selected chapters will be read.

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.

Evaluation scale

H-5

Assessment methods and criteria

7 personal assignments: 70 points
The group project work: 30 points.

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

The student must get at least 30 points from the assignments and 10 points from the group work to pass the course.

The grading scale (points b -> grade):

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

Objective

After completing the course the student can:
- model physical phenomena and apply the model in engineering
- recognise physical possibilities and limitations
- use measuring equipment
- do suitable measuring arrangement for a problem and complete the measurements
- estimate uncertainty of measurements and determine uncertainty for the results in simple cases
- make and analyse graphical presentations
- keep a laboratory notebook
- report results orally and in writing
- work safely at a laboratory
- work safely with different kinds of radioactive radiation
- handle waste developed in laboratory

Content

•safety at laboratory work
•physical modeling
•radioactive radiation
•measuring, evaluating errors of measurements, processing and analyzing results
•graphical presentations and reporting
•handling laboratory waste

Materials

Opettajan laatimaa materiaalia, joka jaetaan ItsLearning työtilan kautta.
Lisäksi:
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

Teaching methods

lähiopetus, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö

Exam schedules

Loppukoe viikolla 49 lukujärjestyksen mukaisena aikana.
Uusintakoe suoritetaan seuraavan toteutuksen kokeen yhteydessä.
Muista opintojakson täydennyksistä sovitaan opettajan kanssa.

International connections

Opintojaksolla opiskellaan fysiikan mittaamisen ja tulosten analysoinnin perustaitoja, jotka ovat insinöörityön perusta. Tehtävät sisältävät alakohtaisia sovellusesimerkkejä. Opintojaksolla käytetään kansainvälisiä fysiikan merkintätapoja ja terminologiaa, mikä antaa opiskelijoille valmiuksia ymmärtää kansainvälistä insinöörialan kirjallisuutta, standardeja yms. Tehtävien ratkomisessa opiskelijoita kannustetaan tiimityöskentelyyn. Opintojaksolla käytetään sähköistä oppimisympäristöä.

Student workload

Kontaktitunnit ja kokeet 28 h.
Itsenäinen opiskelu, harjoitustöihin valmistautuminen, raportointi ja loppukokeeseen valmistautuminen 100 h.

Content scheduling

• vk36/2023: Turvallisuus ja laboratoriokäytänteet
• vk36/2023: Yksiköt, mittaaminen ja raportointi
• vk37/2023: Graafiset esitykset ja kulmakeroimet
• vk38/2023 - vk47/2023: Laboratorioharjoitustöitä (8 kpl) ja 1 laaja ennakkotehtävä
• vk48/2023: Rästivuoro
• vk49/2023: Loppukoe

Evaluation scale

H-5

Assessment methods and criteria

Ohjattu harjoitustyö (1 kpl) arvioidaan asteikolla (0, kun työ on kokonaan suorittamatta, 0,5, kun mittaukset on tehty ja 1-2, kun myös raportti on hyväksytty)
Muiden harjoitustöiden (7 kpl) suoritus ja raportointi arvioidaan asteikolla 0-5 (0, kun työ on kokonaan suorittamatta).
Virtapiirit-työstä on laajempi ennakkotehtävä, joka arvioidaan asteikolla 0-3.
Harjoitustöitä on 8 kappaletta ja niistä arvioidaan 1 kappale asteikolla 0-2, 7 kappletta asteikolla 0-5 ja 1 ennakkotehtävä asteikolla 0-3, joten harjoitustöiden suorituksista saa korkeintaan 40 pistettä (1 x 2 + 7 x 5 + 1 x 3 pistettä).
Loppukokeesta korkeintaan 20 pistettä.
Siten yhteensä voi saada korkeintaan 60 pistettä.

Assessment criteria, fail (0)

Alle 28 pistettä.

Assessment criteria, satisfactory (1-2)

Vähintään 28 pistettä ja alle 40 pistettä.

Assessment criteria, good (3-4)

Vähintään 40 pistettä ja alle 52 pistettä.

Assessment criteria, excellent (5)

Vähintään 52 pistettä.

Objective

After completing the course the student can:
- model physical phenomena and apply the model in engineering
- recognise physical possibilities and limitations
- use measuring equipment
- do suitable measuring arrangement for a problem and complete the measurements
- estimate uncertainty of measurements and determine uncertainty for the results in simple cases
- make and analyse graphical presentations
- keep a laboratory notebook
- report results orally and in writing
- work safely at a laboratory
- work safely with different kinds of radioactive radiation
- handle waste developed in laboratory

Content

•safety at laboratory work
•physical modeling
•radioactive radiation
•measuring, evaluating errors of measurements, processing and analyzing results
•graphical presentations and reporting
•handling laboratory waste

Materials

Opettajan laatimaa materiaalia, joka jaetaan ItsLearning työtilan kautta.
Lisäksi:
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

Teaching methods

lähiopetus, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö

Exam schedules

Loppukoe viikolla 16 lukujärjestyksen mukaisena aikana.
Uusintakoe suoritetaan seuraavan toteutuksen kokeen yhteydessä.
Muista opintojakson täydennyksistä sovitaan opettajan kanssa.

International connections

Opintojaksolla opiskellaan fysiikan mittaamisen ja tulosten analysoinnin perustaitoja, jotka ovat insinöörityön perusta. Tehtävät sisältävät alakohtaisia sovellusesimerkkejä. Opintojaksolla käytetään kansainvälisiä fysiikan merkintätapoja ja terminologiaa, mikä antaa opiskelijoille valmiuksia ymmärtää kansainvälistä insinöörialan kirjallisuutta, standardeja yms. Tehtävien ratkomisessa opiskelijoita kannustetaan tiimityöskentelyyn. Opintojaksolla käytetään sähköistä oppimisympäristöä.

Student workload

Kontaktitunnit ja kokeet 28 h.
Itsenäinen opiskelu, harjoitustöihin valmistautuminen, raportointi ja loppukokeeseen valmistautuminen 100 h.

Content scheduling

• vk2/2024: Turvallisuus ja laboratoriokäytänteet
• vk3/2024: Yksiköt, mittaaminen ja raportointi
• vk4/2024: Graafiset esitykset ja kulmakeroimet
• vk5/2024 - vk14/2024: Laboratorioharjoitustöitä (8 kpl) ja 1 laaja ennakkotehtävä
• vk15/2024: Rästivuoro
• vk16/2024: Loppukoe

Evaluation scale

H-5

Assessment methods and criteria

Ohjattu harjoitustyö (1 kpl) arvioidaan asteikolla (0, kun työ on kokonaan suorittamatta, 0,5, kun mittaukset on tehty ja 1-2, kun myös raportti on hyväksytty)
Muiden harjoitustöiden (7 kpl) suoritus ja raportointi arvioidaan asteikolla 0-5 (0, kun työ on kokonaan suorittamatta).
Virtapiirit-työstä on laajempi ennakkotehtävä, joka arvioidaan asteikolla 0-3.
Harjoitustöitä on 8 kappaletta ja niistä arvioidaan 1 kappale asteikolla 0-2, 7 kappletta asteikolla 0-5 ja 1 ennakkotehtävä asteikolla 0-3, joten harjoitustöiden suorituksista saa korkeintaan 40 pistettä (1 x 2 + 7 x 5 + 1 x 3 pistettä).
Loppukokeesta korkeintaan 20 pistettä.
Siten yhteensä voi saada korkeintaan 60 pistettä.

Assessment criteria, fail (0)

Alle 28 pistettä.

Assessment criteria, satisfactory (1-2)

Vähintään 28 pistettä ja alle 40 pistettä.

Assessment criteria, good (3-4)

Vähintään 40 pistettä ja alle 52 pistettä.

Assessment criteria, excellent (5)

Vähintään 52 pistettä.

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:
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.

Content scheduling

This course is based on the Online material "Create with Code" presented by Unity. Each week will contain supporting lectures for each week topic and contemporary game technologies and game industry news.
Students will be expected to work through the material according to the following schedule:
- 05.09.2023: Course introduction and Create with Code...Getting Started & Unit 1
- 12.09.2023.Create with Code...Unit 1
- 19.09.2023: Create with Code...Unit 2
- 26.09.2023: Concept presentation of personal project, peer evaluation
- 03.10.2023: Create with Code...Unit 3
- 10.10.2023: Create with Code...Unit 3
- 24.10.2023: Create with Code...Unit 4
- 18.10.2023: Independent work on your personal project
- 31.10.2023: Create with Code...Unit 4
- 07.11.2023: Prototype presentation of personal project. Peer evaluation. Create with Code...Unit 5
- 14.11.2023: Create with Code...Unit 5
- 21.11.2023: Independent work on your game
- 28.11.2023: Independent work on your game
- 05.12.2023: Finalize your game
- 12.12.2023: 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 50% 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 2023.
9/23 - 11/23: theory, homework
10/23 - 11/23: project work +reports
12/23: 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

Teacher will provide powerpoints. Theory classess requires students to bring paper and pen to take notes

Teaching methods

Typical teaching in class room
+
Student preparation of own demos

Exam schedules

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

International connections

Analyze -> think -> work -> solve -> show

Student workload

Between XX November 2023 (Week 45) and XX December 2023 (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 XXth October (MORE INFORMATION SOON)
The course 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

Further information

come to the class. Don't be lazy

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 video explaining the parts of the project and the final outlook.
Each video will be evaluated by the two teachers and they will grade the video from 0 to 5 points.
The average of the six videos is calculated and that counts for 66 % of the grade.
The last two weeks the student prepare a final game project including as many topics of the course as possible. The project is presented real-time (no video) to the rest of the participants. This work will be grade by the two teachers, and it will count for 34 % of the grade.

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/gtst2023 - 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 - exact locations and weekly schedule will become available in August 2023.

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

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/gtst2023 - 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 is in the process of being reworked into a fully collaborative virtual learning environment. Further details and instructions will be made available nearer to the start of the course.

Exam schedules

This course has no formal exam.

International connections

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

Completion alternatives

There is a risk that the collaborative environment might not be ready before the start of the course. If this is the case, we will revert to the more traditional contact and practical working methods. You will be informed in advance of the situation.

Student workload

The course is in the process of being reworked into a fully collaborative virtual learning environment. Further details and instructions will be made available nearer to the start of the course.

This course is 5 ECTS - students are expected to work 135 hours

Assessment criteria, approved/failed

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
- UI design for mobile and an overview of mock-up tools
- Player types and their psychology
- Ethics of serious games and gamification

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

The course is in the process of being reworked into a fully collaborative virtual learning environment. Further details and instructions will be made available nearer to the start of the course.

Assessment of the course will happen through tasks and assignments within the collaborative platform.

Objective

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

Content

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

Materials

Various internet sources, links & descriptions online.
Lecture slides.
theFIRMA's and course's Itslearning.

Teaching methods

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

Exam schedules

no exam

International connections

Practical assignments and reports
Project work
Self study

Completion alternatives

-

Student workload

Lectures and on-site activities: 86 hours
Assignments and self study: 66 hours
Project work 108 hours
Guest lectures + report: 10 hours
TOTAL 270 hours

Content scheduling

This course deepens project working skills on ICT field as well as substance knowledge of different ICT field -related topics. 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

Course material is in It´s Learning

Evaluation scale

H-5

Assessment methods and criteria

Course includes 6 assignments: 2 individual assignments and 4 group assignments. Maximum points of each assignment is 3 points. Thus, the maximum amount of points from assignments is 18.

In addition course includes 1 guest lecture report, which is assessed pass/fail.

Team work: formative assessment taking into account student's self and peer assessment.

Presence
50-59% attendance affect on your grade +0,1
60-64% attendance affect on your grade +0,2
65-69% attendance affect on your grade +0,3
70-74% attendance affect on you grade +0,4
75+% attendance affect on your grade +0,5

Final grade of the course is weighted average:
- Group assignments inc. self and peer assessment 40%
- Presence 10%
- Guest lecture report 10%
- Project work inc- self and peer assessment 40%

Assessment criteria, fail (0)

Less than 6 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: 6-7 points from assignments + passing guest lecture report + completing project work hours
Grade 2: 8-10 points from assignments + passing guest lecture report + 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: 11-13 points from assignments + passing guest lecture report + completing project work hours
Grade 4: 14-16 points from assignments + passing guest lecture report + 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: 17-18 point from assignments + passing guest lecture report + completing project work hours

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

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

Objective

After completing a course student can:

- Plan and implement visual presentation materials of a project
- Do an effective pitch of a project
- Network with fellow students and with IT companies
- Reflect events in written reports

Content

The ICT ShowRoom is organized jointly by Turku University of Applied Sciences, University of Turku, and Åbo Akademi University. The participation is open for all students of the organizing higher education institutes who have worked with projects connected to ICT-connected topics. The event itself is open for the public and there are hundreds of visitors every year. More information about the event: https://www.ictshowroom.fi/

In ICT ShowRoom course, one can participate for the event and get a credit of the participation. Course consists of preparation for the event, ICT ShowRoom and self-reflection report. Project chosen for the exhibition can be done in previous courses or during spare time. Project can be presented in the event by entire project team, part of the project team or by a single student. It is important to realistically describe one´s own portion of the work done in the project and give honors for the work done by other team members as well. Self-reflection report is done individually.

Materials

Internet sources, links & descriptions online

Teaching methods

group work and independent work

Exam schedules

-

International connections

practical preparation for the event, pitsching a project in ICT ShowRoom and self-reflection report

Completion alternatives

No optional ways for implementation

Student workload

preperation, event and report 27 hours

Assessment criteria, approved/failed

Fail (0)
No show, not enrolling materials by deadlines, lack of report.

Approved
The material has been enrolled for the event in advance by the given deadlines; a student has participated actively for the event and returned a self-reflection report.

Content scheduling

The ICT ShowRoom is organized jointly by Turku University of Applied Sciences, University of Turku, and Åbo Akademi University. The participation is open for all students of the organizing higher education institutes who have worked with projects connected to ICT-connected topics. The event itself is open for the public and there are hundreds of visitors every year. More information about the event: https://www.ictshowroom.fi/

In ICT ShowRoom course, one can participate for the event and get a credit of the participation. Course consists of preparation for the event, ICT ShowRoom and self-reflection report. Project chosen for the exhibition can be done in previous courses or during spare time. Project can be presented in the event by entire project team, part of the project team or by a single student. It is important to realistically describe one´s own portion of the work done in the project and give honors for the work done by other team members as well. Self-reflection report is done individually.

Further information

Next ICT ShowRoom will take place on 7.3.2024.

Read more about the event: https://www.ictshowroom.fi/

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

Preperation work for the event [poster and other material] is done by the deadlines given by the organizers. Active participation during ICT ShowRoom –event. Self-reflection report.

Qualifications

ICT related project, that has been implemented in previous courses or during spare time.

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.

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:
- is able to explain the basic principles of information security testing and assessment
- can list the phases of information security testing process
- is able to organize and conduct information security risk testing to an SME sector enterprise or similar size organization
- can analyse and report the results from information security testing
- is able to give justified improvement proposals to mitigate information security vulnerabilities

Content

- Social Engineering
- Penetration Testing
- Network Discovery
- Network Service Identification
- Vulnerability Scanning
- Password Cracking

Materials

We are using the TryHackMe.com training platform in addition to ItsLearning. Licenses for the duration of the course will be provided.

Exam schedules

Practical exam is in late March / early April, with re-take chance in April.

Student workload

Lectures 8h
Laboratory assignments 27h
Homework 27h
Exam 3h
Testing project 70h

Content scheduling

Course begins with introductory lecture. In laboratory exercises student learns to use the tools of trade. Finally, students perform a penetration testing engagement and report the results.

Further information

All communication will be through ItsLearning.

Evaluation scale

H-5

Assessment methods and criteria

Laboratory and homework assignments 10-20% of grade
Exam 10-20% of grade
Project report 60-70% of grade

Assessment criteria, fail (0)

Student is unable to perform and report a penetration testing engagement independently.

Assessment criteria, satisfactory (1-2)

Student understands the basics of penetration testing and is able to perform a penetration test against a web application independently. Student can write an understandable and actionable report about the test results.

Assessment criteria, good (3-4)

Student has a good grasp of information security testing methodologies and tools. Student can independently test various types of internet connected applications. Student can write an understandable and actionable report about the test results that contains guidance for both the management and the developers responsible for the application.

Assessment criteria, excellent (5)

Student is has knowledge and is able to select the best suited tool and methodology for the engagement. Student can independently test most types of internet connected applications. Student can write a clear, concise and actionable report about the test results that effectively guides management decisions and provides the software developers with detailed guidance on both fixing to found issues and methods for avoiding similar issues in the future.

Qualifications

Courses Internet Networks and Security and Linux and Virtualization

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

Everything you need to learn, read and know to be able to do the tasks

Information and learning goals and materials from PO
Learning goals from tutors
Individual reading and inquieries needed by the task

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 held on 05.09.2023 at 08,00-12,00.
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.

Completion alternatives

-

Student workload

4 hours on Tuesday and 4 hours on Friday mandatory team time
Additionally individual/group student work other times

Content scheduling

05.09.2023 - 19.12.2023
• Project Work for pre-selected companies or organizations
• Working in groups of 5-10 students
• Each project has dedicated coach (staff member) and product owner (typically customer representative).
• Use chosen method and tools for project management

Further information

Coordinators:
Hazem Al-Bermanei (Hazem.Al-Bermanei@turkuamk.fi)
Linnossuo Timo (Timo.Linnossuo@turkuamk.fi)

Evaluation scale

H-5

Assessment methods and criteria

Things to evaluate in Capstone:
• Attending group meetings
• Willingly accepts assigned tasks
• Studies and learn new skills needed for the project 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 POs assesment, groups peer assessment and tutor’s assessment. Peer assessment will be made at the middle and the end of the course, but tutor asses constantly during the autumn.

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)

Any of these lacking in students work

• 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.

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.

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.

Completion alternatives

-

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 and must meet their coach weekly.

Content scheduling

09.01.2024 - 26.04.2024.
• 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: 12.01.2024 - 26.04.2024

Further information

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:
- 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
Lisäksi verkkomateriaalia ja opettajan laatimaa materiaalia, joka jaetaan ItsLearning työtilan kautta.

Teaching methods

lähiopetus, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö, virtuaaliopetus

Exam schedules

1. osakoe torstaina vk 44.
2. osakoe keskiviikkona vk 50
Vain toisen osakokeen voi uusia. Osakokeen uusimismahdollisuus järjestetään
joulukuussa 2023 - helmikuussa 2024.

International connections

Opintojaksolla opiskellaan fysiikan perustaitoja, jotka ovat insinöörityön perusta. Esimerkit ja tehtävät sisältävät alakohtaisia sovellusesimerkkejä. Opintojaksolla käytetään kansainvälisiä fysiikan merkintätapoja ja terminologiaa, mikä antaa opiskelijoille valmiuksia ymmärtää kansainvälistä insinöörialan kirjallisuutta, standardeja yms. Tehtävien ratkomisessa opiskelijoita kannustetaan tiimityöskentelyyn. Opintojaksolla käytetään sähköistä oppimisympäristöä.

Completion alternatives

Mikäli opiskelija haluaa suorittaa opintojakson näyttökokeella ilman kotitehtäviä, niin siitä on erikseen sovittava opettajan kanssa.

Student workload

Kontaktitunnit ja kokeet 52 h
Itsenäinen opiskelu, kotitehtävät ja osakokeisiin valmistautuminen (loppukokeeseen valmistautuminen) 75 h

Content scheduling

9/2023 - 10/2023: Suureet, yksiköt, etenevä liike, heitto- ja ymyräliike, vapaakappalekuvat, voimista (Newtonin lait), paino, kitka, työ ja energia, liikemäärä; osakoe 1
11/2023 - 12/2023: Sähköstatiikkaa, Coulombin laki, sähkökenttä ja -potentiaali, kondensaattorit, DC-piirit, magnetismioppia, induktio ja AC, muuntaja; osakoe 2
12/2023 - 2/2024: Osakokeiden uusinnat.

Further information

Opintojaksolla tarvitaan laskinta (funktiolaskin tai graafinen laskin).

(Avoin AMK 3 paikkaa)

Evaluation scale

H-5

Assessment methods and criteria

Kotitehtävien suorituksista korkeintaan 66 pistettä (jokaisesta oikein ratkaistusta tehtävästä saa pisteen)
Osakokeista yhteensä korkeintaan 60 pistettä (2 x 30 pistettä)

Osakokeista on saatava yhteensä vähintään 12 pistettä.
Osakokeen 1 alueesta on tehtävä ainakin 12 kotitehtävää.
Osakokeen 2 alueesta on tehtävä ainakin 10 kotitehtävää.
Yhteensä on kuitenkin saatava vähintään 50 pistettä

Assessment criteria, fail (0)

Yhteensä alle 50 pistettä.
tai
Osakaokeista yhteensä alle 12 pistettä
tai
Osakokeen 1 alueesta on tehty alle 12 kotitehtävää.
tai
Osakokeen 2 alueesta on tehty alle 10 kotitehtävää.

Assessment criteria, satisfactory (1-2)

Yhteensä vähintään 50 pistettä ja alle 74 pistettä sekä osakokeista yhteensä vähintään 12 pistettä ja kotitehtävistä vähintään 12+10 pistettä.

Assessment criteria, good (3-4)

Vähintään 74 pistettä ja alle 98 pistettä sekä osakokeista yhteensä vähintään 12 pistettä ja kotitehtävistä vähintään 12+10 pistettä.

Assessment criteria, excellent (5)

Vähintään 98 pistettä.

Qualifications

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

Objective

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

Content

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

Materials

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
Lisäksi verkkomateriaalia ja opettajan laatimaa materiaalia, joka jaetaan ItsLearning työtilan kautta.

Teaching methods

lähiopetus, tehtäväperustaisuus, itsenäinen opiskelu, tiimityö, virtuaaliopetus

Exam schedules

1. osakoe vk 10.
2. osakoe vk 17
Vain toisen osakokeen voi uusia. Osakokeen uusimismahdollisuus järjestetään
toukokuussa - syyskuussa 2024.

International connections

Opintojaksolla opiskellaan fysiikan perustaitoja, jotka ovat insinöörityön perusta. Esimerkit ja tehtävät sisältävät alakohtaisia sovellusesimerkkejä. Opintojaksolla käytetään kansainvälisiä fysiikan merkintätapoja ja terminologiaa, mikä antaa opiskelijoille valmiuksia ymmärtää kansainvälistä insinöörialan kirjallisuutta, standardeja yms. Tehtävien ratkomisessa opiskelijoita kannustetaan tiimityöskentelyyn. Opintojaksolla käytetään sähköistä oppimisympäristöä.

Completion alternatives

Mikäli opiskelija haluaa suorittaa opintojakson näyttökokeella ilman kotitehtäviä, niin siitä on erikseen sovittava opettajan kanssa.

Student workload

Kontaktitunnit ja kokeet 52 h
Itsenäinen opiskelu, kotitehtävät ja osakokeisiin valmistautuminen (loppukokeeseen valmistautuminen) 75 h

Content scheduling

1/2024 - 3/2024: Suureet, yksiköt, etenevä liike, heitto- ja ymyräliike, vapaakappalekuvat, voimista (Newtonin lait), paino, kitka, työ ja energia, liikemäärä; osakoe 1
3/2024 - 4/2024: Sähköstatiikkaa, Coulombin laki, sähkökenttä ja -potentiaali, kondensaattorit, DC-piirit, magnetismioppia, induktio ja AC, muuntaja; osakoe 2
5/2025 - 9/2024: Osakokeiden uusinnat.

Further information

Opintojaksolla tarvitaan laskinta (funktiolaskin tai graafinen laskin).

(Avoin AMK 3 paikkaa)

Evaluation scale

H-5

Assessment methods and criteria

Kotitehtävien suorituksista korkeintaan 66 pistettä (jokaisesta oikein ratkaistusta tehtävästä saa pisteen)
Osakokeista yhteensä korkeintaan 60 pistettä (2 x 30 pistettä)

Osakokeista on saatava yhteensä vähintään 12 pistettä.
Osakokeen 1 alueesta on tehtävä ainakin 12 kotitehtävää.
Osakokeen 2 alueesta on tehtävä ainakin 10 kotitehtävää.
Yhteensä on kuitenkin saatava vähintään 50 pistettä

Assessment criteria, fail (0)

Yhteensä alle 50 pistettä.
tai
Osakaokeista yhteensä alle 12 pistettä
tai
Osakokeen 1 alueesta on tehty alle 12 kotitehtävää.
tai
Osakokeen 2 alueesta on tehty alle 10 kotitehtävää.

Assessment criteria, satisfactory (1-2)

Yhteensä vähintään 50 pistettä ja alle 74 pistettä sekä osakokeista yhteensä vähintään 12 pistettä ja kotitehtävistä vähintään 12+10 pistettä.

Assessment criteria, good (3-4)

Vähintään 74 pistettä ja alle 98 pistettä sekä osakokeista yhteensä vähintään 12 pistettä ja kotitehtävistä vähintään 12+10 pistettä.

Assessment criteria, excellent (5)

Vähintään 98 pistettä.

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:
- solve equations, including radical, exponential and logarithmic equations
- use determinants and matrices
- apply dot and cross products
- perform basic operations on complex numbers
- use relevant mathematical terms and notation correctly

Content

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

Materials

ITSL-sivulta löytyvät:
Luentomuistiinpanot
Laskuharjoitusten tehtävät ja vastaukset

Teaching methods

Luennot
Laskuharjoitukset
Kokeet

Exam schedules

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

Lopullinen uusinta seuraavan vuoden tammikuussa:
voi tehdä jomman kumman tai kummatkin osakokeista

Student workload

6*2h kertausosan luennot
6*1h kertausosan laskuharjoitukset
20*2h luennot
20*1h laskuharjoitukset, joissa yhteensä noin 150 kpl tehtäviä
2*2h kokeet
loppu opiskelijan itsenäistä opiskelua

Content scheduling

Syyskuu, KERTAUSOSA:
- peruslaskutoimitukset, murtoluvut
- potenssi, juuri, logaritmi
- polynomit
- 1. ja 2. asteen yhtälöt, yhtälöpari

Syyskuu-marraskuu, OSA1:
- funktiot ja yhtälöt, potenssiyhtälö, juuriyhtälö, eksponenttiyhtälö, logaritmiyhtälö, epäyhtälö
- trigonometria
- kompleksiluvut

Marraskuu-joulukuu, OSA2:
- matriisit, determinantit
- vektorit
- lukujärjestelmät

Further information

Sähköposti.

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

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 can:
- solve equations, including radical, exponential and logarithmic equations
- use determinants and matrices
- apply dot and cross products
- perform basic operations on complex numbers
- use relevant mathematical terms and notation correctly

Content

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

Materials

Itslearning-sivulta löytyvät:
Luentomuistiinpanot
Kurssilla on käytössä kirja, josta on valtaosa tehtävistä: Insinöörin Matematiikka, Tuomenlehto, Holmlund, Huuskonen, Makkonen, Surakka.

Teaching methods

Luennot
Laskuharjoitukset
Kokeet

Exam schedules

Kaksi osakoetta. Aikataulu ilmoitetaan kursin Itslearning sivustolla

Completion alternatives

Osakokeet
Tehdyistä tehtävistä saa hyvitystä kurssi arvosanaan.

Student workload

26*2h luennot
13*2h laskuharjoitukset
2*2h kokeet
loppu opiskelijan itsenäistä opiskelua

Content scheduling

1. osa:
- trigonometria
- vektorit
- matriisit

2. osa:
- Lukujärjestelmät
- Kompleksiluvut
- Funktiot: polynomi, rationaali-, eksponentti- ja logaritmifunktiot
- 1. asteen yhtälö
- 2. asteen yhtälö
- yhtälöryhmät
- Epäyhtälö

Evaluation scale

H-5

Assessment methods and criteria

Osakokeista täytyy saada tietty määrä pisteitä päästäkseen läpi.
Laskuharjoituksista saatavat lisäpisteet parantavat arvosanaa.
Arvosanataulukko löytyy Itslearning-sivulta.

Assessment criteria, fail (0)

Ei tarpeeksi pisteitä kokeista.

Assessment criteria, satisfactory (1-2)

Arvosanataulukko löytyy Itslearning sivulta

Assessment criteria, good (3-4)

Arvosanataulukko löytyy Itslearning sivulta

Assessment criteria, excellent (5)

Arvosanataulukko löytyy Itslearning sivulta

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/igdt2023

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.

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.

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

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 Programming
Week 41: Game Graphics
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: Finalize your game. No lecture or online session.
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/igdt2023

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

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:
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.

Teaching methods

Group work and independent work, project work, onsite activities

Exam schedules

No exam

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.

Student workload

Assignments, lectures, self study: 164 hours
Guest lectures + report: 27 hours
Project work: 81 hours

Majority of project work is done on-site.

Content scheduling

This course gives 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 team up for a project work on customer projects related to ICT field. Customer projects develop students’ working life skills (among others: 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

-

Evaluation scale

H-5

Assessment methods and criteria

Assignments and reports: diagnostic assessment.

Project work: formative assessment based on self and peer assessment, customer’s feedback (if available) and project manager’s feedback.

Assessment criteria, fail (0)

No show, not carrying out responsibilities, disappearing from project, lack of communication with project team.

Assessment criteria, satisfactory (1-2)

Satisfactory performance both in project work and independent work.

Assessment criteria, good (3-4)

Good performance both in project work and independent work.

Assessment criteria, excellent (5)

Excellent performance both in project work and independent work.

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 60%.
Detailed grading limits will be provided in course plan when course starts but past grading limits have been the following:

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

Qualifications

Internet Networks and Security (5051215) or equal skill.

Objective

Student knows Basic tools for data analysis
Student can implement data analytics in edge computing
Student knows Basic solutions for big data analysis in cloud

Content

Data at rest and data in motion
Process for data analysis
Data preparation
Basics of descriptive statistics
Data visualization
Machine learning basics
Big data architectures

Materials

Cisco network academy material www.netacad.com

Teaching methods

Self-study network material
Lectures
7 laboratory sessions

International connections

Lab works
Lectures
Self study

Completion alternatives

-

Student workload

lab works 7x4h = 28h
lectures 6x1h = 6h
exam = 2h
self study = 74h
exam preparation 25h
TOTAL 135h

Content scheduling

Chapter 1 Data and the Internet of Things
Chapter 2 Fundamentals of Data Analysis
Chapter 3 Data Analysis
Chapter 4 Advanced Data Analytics and Machine Learning
Chapter 5 Storytelling with Data
Chapter 6 Architecture for Big Data and Data Engineering

Further information

-

Evaluation scale

H-5

Assessment methods and criteria

Must pass Final Exam:
60% -> 1
68% -> 2
76% -> 3
84% -> 4
92% -> 5
Mandatory lab works: +/- 2 grades from individual Lab performance
Mandatory lectures, must attend 70%

Assessment criteria, fail (0)

Failed Final Exam <60%
or
Weak Final exam < 76% + poor lab performance (missing labs, nonprofessional attitude or lack of active problem-solving, missed lectures)

Assessment criteria, excellent (5)

Excellent Final Exam >92%
and
expected lab performance (all labs done with average performance)
or
Good Final Exam >76%
and
superb lab performance (all labs done, actively learns new skills outside of the lab scope, is able to help fellow students, attended all lectures)

Qualifications

Basic skills in using both Windows and Linux systems
Basic networking skills (Cisco CCNA1 or similar)
Basic programming skills with some high level programming language (for example Python, Java, C# or similar)
Basic programming skills include (but are not limited to): output formatting, conditional execution, loops, functions/procedures, function parameters and return values, arrays, error handling, testing and good programming policies
Sufficient logical-mathematical thinking skills
Sufficient skills in English language (lectures and all materials are in English)

Objective

After completing the course the student:
- knows how Internet of Things (IoT) is reshaping businesses
- understands the general architecture of an IoT system
- can build an IoT system in lab demo environment

Content

- IoT in business context
- Essential IoT concepts
- IoT architecture

Materials

Cisco Network academy materials

Teaching methods

Self-study network material
Lectures
6 laboratory sessions

International connections

Lab Works
Lectures
Self study

Completion alternatives

-

Student workload

Lab sessions 6x4h = 24h
Final exams 3h
Lectures 12h
Self study 85h
Exam preparation 12h

Content scheduling

Chapter 1: Things and Connections
Chapter 2: Sensors, Actuators, and Microcontrollers
Chapter 3: Software is Everywhere
Chapter 4: Networks, Fog and Cloud Computing
Chapter 5: Digitization of the Business
Chapter 6: Create an IoT Solution

Evaluation scale

H-5

Assessment methods and criteria

Must pass Final Exam:
60% -> 1
68% -> 2
76% -> 3
84% -> 4
92% -> 5
Mandatory lab works: +/- 2 grades from individual Lab performance
Mandatory lectures, must attend 70%

Assessment criteria, fail (0)

Failed Final Exam <60%
or
Weak Final exam < 76% + poor lab performance (missing labs, nonprofessional attitude or lack of active problem-solving, missed lectures)

Assessment criteria, excellent (5)

Excellent Final Exam >92%
and
expected lab performance (all labs done with average performance)
or
Good Final Exam >76%
and
superb lab performance (all labs done, actively learns new skills outside of the lab scope, is able to help fellow students, attended all lectures)

Qualifications

Basic skills in using both Windows and Linux systems
Basic networking skills (Cisco CCNA1 or similar)
Basic programming skills with some high level programming language (for example Python, Java, C# or similar)
Basic programming skills include (but are not limited to): output formatting, conditional execution, loops, functions/procedures, function parameters and return values, arrays, error handling, testing and good programming policies
Sufficient logical-mathematical thinking skills
Sufficient skills in English language (lectures and all materials are in English)

Materials

Cisco Network academy materials

Teaching methods

Self-study network material
Lectures
7 laboratory sessions

International connections

Lab works
Lectures
Self study

Completion alternatives

-

Student workload

Lab sessions 6x4h = 24h
Final exam 2h
Lectures 12h
Self study 85h
Exam preparation 12h

Content scheduling

Chapter 1: The IoT Under Attack
Chapter 2: IoT Systems and Architectures
Chapter 3: The IoT Device Layer Attack Surface
Chapter 4: IoT Communication Layer Attack Surface
Chapter 5: IoT Application Layer Attack Surface
Chapter 6: Vulnerability and Risk Assessment in an IoT System

Evaluation scale

H-5

Assessment methods and criteria

Must pass Final Exam:
50% -> 1
68% -> 2
76% -> 3
84% -> 4
92% -> 5
Mandatory lab works: +/- 2 grades from individual Lab performance
Mandatory lectures, must attend 70%

Assessment criteria, fail (0)

Failed Final Exam <50%
or
Weak Final exam < 76% + poor lab performance (missing labs, nonprofessional attitude or lack of active problem-solving, missed lectures)

Assessment criteria, excellent (5)

Excellent Final Exam >92%
and
expected lab performance (all labs done with average performance)
or
Good Final Exam >76%
and
superb lab performance (all labs done, actively learns new skills outside of the lab scope, is able to help fellow students, attended all lectures)

Objective

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

Content

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

Materials

Itslearning

Teaching methods

Lectures, practical work, reports etc.

Exam schedules

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

International connections

Attendance & assignment requirements for each part are specified in Itslearning.
DEAI - Data Engineering and Artificial Intelligence
DNCS - Data Networks and Cybersecurity
EMB - Embedded Software and IoT
GAME - Game and Interactive Technologies
SEPM - Software Engineering and Project Management
EHEA - Health Technology

Completion alternatives

None

Student workload

Two weekly morning sessions per each part plus tasks / exercises.

Assessment criteria, approved/failed

To pass the course, students must pass 5/6 of the parts.

Content scheduling

The course consists of six parts, one for each competence track.
Lessons in Jan - April 2024, timetables for each group available in lukkari.turkuamk.fi.

Further information

Itslearning

Evaluation scale

Hyväksytty/Hylätty

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
Materials and assignments shared on the ItsLearning platform

Student workload

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

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.

Evaluation scale

H-5

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

Student obtains the skills and knowledge required in basic mathematics and physics courses within ICT engineering education.

Content

- Numbers and number presentations
- Basic operations on integers and rational numbers
- Roots and powers
- Order of operations
- International System of Units, unit conversions
- Polynomial and rational expressions
- 1. and 2. degree polynomial equations
- Systems of two equations
- Percent calculation
- Surface areas and volumes of solids
- Density, mass and volume
- Interpreting graphs of functions
- Movement with constant speed or acceleration

Materials

Course Materials and Assignments in Itslearning
Formula Book
Function Calculator (Casio fx-82EX or equivalent)

Teaching methods

Contact lessons: 2 hour sessions twice a week

Contact lessons are a combination of lectures and working on and checking exercises.

Studentsa are also expected to work on exercises independently.

Exam schedules

1. Midterm exam of module A on week XX
2. Midterm exam of module B on week XX

After the completion of the course, two retake opportunities are offered. You can retake either module A's intermediate exam, module B's intermediate exam, or both intermediate exams at once. The retake opportunity applies only to those students whose performance meets the passing criteria of the course in terms of active attendance and submitted practice assignments.

Completion alternatives

The course cannot be completed by just taking an exam.

Student workload

Classroon instruction 52 h
Independent work c. 68 h
Exams and preparing for them c. 15 h

Content scheduling

Classroom instruction and exams on weeks 36-50 as stated in the schedule. Re-exams in January 2024.
Contents:
- Numbers and number presentations
- Basic operations on integers and rational numbers
- Roots and powers
- Order of operations
- International System of Units, unit conversions
- Polynomial and rational expressions
- 1. and 2. degree polynomial equations
- Systems of two equations
- Percent calculation
- Surface areas and volumes of solids
- Density, mass and volume
- Interpreting graphs of functions
- Movement with constant speed or acceleration

Further information

Itslearning

Evaluation scale

H-5

Assessment methods and criteria

The evaluation of the course is based on:
1. The student's active participation in classroom instruction, with a minimum requirement of 75% attendance.
2. Performance in both midterm exams, with a minimum requirement of 40% of the total points from each exam.
3. Engagement in practice assignments, with a minimum requirement of 30% of the assignments submitted for both modules.

If a student demonstrates active participation in the course, their grade can be raised as follows:
* By 0.5 grade if they have submitted at least 60% of all assignments
* By 1 grade if they have submitted at least 90% of all assignments

Assessment criteria, fail (0)

The student has not demonstrated the achievement of the learning objectives of the course. The student only recognizes and can use a few concepts related to the subject matter of the course and is unable to apply them.

A failing grade will be given if:
1. The student has not participated sufficiently in classroom instruction (less than 75%).
2. The student has not submitted a sufficient number of assignments (less than 30% per module).
3. The student has not successfully passed either or both of the midtern exams (less than 40% of the total score for each exam).

The course will also be failed if cheating is detected in the student's performance. The first instance of detected cheating or attempted cheating will result in the rejection of the individual exam or assignment. The second instance will lead to the rejection of the entire course performance.

Assessment criteria, satisfactory (1-2)

The student has demonstrated satisfactory achievement of the learning objectives of the course. The student recognizes and is able to utilize the concepts related to the subject matter of the course to some extent.

Assessment criteria, good (3-4)

The student has demonstrated a good achievement of the learning objectives of the course, although there is still room for improvement in some areas of knowledge and skills. The student is able to effectively use the concepts related to the subject matter of the course and apply their learning in academic and work-related situations.

Assessment criteria, excellent (5)

The student has demonstrated an excellent achievement of the learning objectives of the course. The student masterfully understands the concepts related to the subject matter of the course and can analyze related topics smoothly and convincingly. The student possesses strong abilities to apply their learning in academic and work-related situations.

Objective

Student obtains the skills and knowledge required in basic mathematics and physics courses within ICT engineering education.

Content

- Numbers and number presentations
- Basic operations on integers and rational numbers
- Roots and powers
- Order of operations
- International System of Units, unit conversions
- Polynomial and rational expressions
- 1. and 2. degree polynomial equations
- Systems of two equations
- Percent calculation
- Surface areas and volumes of solids
- Density, mass and volume
- Interpreting graphs of functions
- Movement with constant speed or acceleration

Materials

Course Materials and Assignments in Itslearning
Formula Book
Function Calculator (Casio fx-82EX or equivalent)

Teaching methods

Contact lessons: 2 hour sessions twice a week

Contact lessons are a combination of lectures and working on and checking exercises.

Studentsa are also expected to work on exercises independently.

Exam schedules

1. Midterm exam of module A (halfway through the course)
2. Midterm exam of module B (at the end of the course)

Schedule and content for the midterm exams will be announced during the course on the course Itslearning site.

After the completion of the course, two retake opportunities are offered. You can retake either module A's intermediate exam, module B's intermediate exam, or both intermediate exams at once. The retake opportunity applies only to those students whose performance meets the passing criteria of the course in terms of active attendance and submitted practice assignments.

Completion alternatives

The course cannot be completed by just taking an exam.

Student workload

Classroon instruction 52 h
Independent work c. 68 h
Exams and preparing for them c. 15 h

Content scheduling

Classroom instruction and exams on weeks 36-50 as stated in the schedule. Re-exams in January 2024.
Contents:
- Numbers and number presentations
- Basic operations on integers and rational numbers
- Roots and powers
- Order of operations
- International System of Units, unit conversions
- Polynomial and rational expressions
- 1. and 2. degree polynomial equations
- Systems of two equations
- Percent calculation
- Surface areas and volumes of solids
- Density, mass and volume
- Interpreting graphs of functions
- Movement with constant speed or acceleration

Further information

Itslearning

Evaluation scale

H-5

Assessment methods and criteria

The evaluation of the course is based on:
1. The student's active participation in classroom instruction, with a minimum requirement of 75% attendance.
2. Performance in both midterm exams, with a minimum requirement of 40% of the total points from each exam.
3. Engagement in practice assignments, with a minimum requirement of 30% of the assignments submitted for both modules.

If a student demonstrates active participation in the course, their grade can be raised as follows:
* By 0.5 grade if they have submitted at least 60% of all assignments
* By 1 grade if they have submitted at least 90% of all assignments

Assessment criteria, fail (0)

The student has not demonstrated the achievement of the learning objectives of the course. The student only recognizes and can use a few concepts related to the subject matter of the course and is unable to apply them.

A failing grade will be given if:
1. The student has not participated sufficiently in classroom instruction (less than 75%).
2. The student has not submitted a sufficient number of assignments (less than 30% per module).
3. The student has not successfully passed either or both of the midtern exams (less than 40% of the total score for each exam).

The course will also be failed if cheating is detected in the student's performance. The first instance of detected cheating or attempted cheating will result in the rejection of the individual exam or assignment. The second instance will lead to the rejection of the entire course performance.

Assessment criteria, satisfactory (1-2)

The student has demonstrated satisfactory achievement of the learning objectives of the course. The student recognizes and is able to utilize the concepts related to the subject matter of the course to some extent.

Assessment criteria, good (3-4)

The student has demonstrated a good achievement of the learning objectives of the course, although there is still room for improvement in some areas of knowledge and skills. The student is able to effectively use the concepts related to the subject matter of the course and apply their learning in academic and work-related situations.

Assessment criteria, excellent (5)

The student has demonstrated an excellent achievement of the learning objectives of the course. The student masterfully understands the concepts related to the subject matter of the course and can analyze related topics smoothly and convincingly. The student possesses strong abilities to apply their learning in academic and work-related situations.

Objective

Student obtains the skills and knowledge required in basic mathematics and physics courses within ICT engineering education.

Content

- Numbers and number presentations
- Basic operations on integers and rational numbers
- Roots and powers
- Order of operations
- International System of Units, unit conversions
- Polynomial and rational expressions
- 1. and 2. degree polynomial equations
- Systems of two equations
- Percent calculation
- Surface areas and volumes of solids
- Density, mass and volume
- Interpreting graphs of functions
- Movement with constant speed or acceleration

Materials

Course Materials and Assignments in Itslearning
Formula Book
Function Calculator (Casio fx-82EX or equivalent)

Teaching methods

Contact lessons: 2 hour sessions twice a week

Contact lessons are a combination of lectures and working on and checking exercises.

Studentsa are also expected to work on exercises independently.

Exam schedules

1. Midterm exam of module A on week 44
2. Midterm exam of module B on week 50

After the completion of the course, two retake opportunities are offered. You can retake either module A's intermediate exam, module B's intermediate exam, or both intermediate exams at once. The retake opportunity applies only to those students whose performance meets the passing criteria of the course in terms of active attendance and submitted practice assignments. Examination will take place in January-February 2024, the exact dates TBA.

Completion alternatives

The course cannot be completed by just taking an exam.

Student workload

Classroon instruction 52 h
Independent work c. 68 h
Exams and preparing for them c. 15 h

Content scheduling

Classroom instruction and exams on weeks 36-50 as stated in the schedule. Re-exams in January 2024.
Contents:
- Numbers and number presentations
- Basic operations on integers and rational numbers
- Roots and powers
- Order of operations
- International System of Units, unit conversions
- Polynomial and rational expressions
- 1. and 2. degree polynomial equations
- Systems of two equations
- Percent calculation
- Surface areas and volumes of solids
- Density, mass and volume
- Interpreting graphs of functions
- Movement with constant speed or acceleration

Further information

Itslearning

Evaluation scale

H-5

Assessment methods and criteria

The evaluation of the course is based on:
1. The student's active participation in classroom instruction, with a minimum requirement of 75% attendance.
2. Performance in both midterm exams, with a minimum requirement of 40% of the total points from each exam.
3. Engagement in practice assignments, with a minimum requirement of 30% of the assignments submitted for both modules.

If a student demonstrates active participation in the course, their grade can be raised as follows:
* By 0.5 grade if they have submitted at least 60% of all assignments
* By 1 grade if they have submitted at least 90% of all assignments

Assessment criteria, fail (0)

The student has not demonstrated the achievement of the learning objectives of the course. The student only recognizes and can use a few concepts related to the subject matter of the course and is unable to apply them.

A failing grade will be given if:
1. The student has not participated sufficiently in classroom instruction (less than 75%).
2. The student has not submitted a sufficient number of assignments (less than 30% per module).
3. The student has not successfully passed either or both of the midtern exams (less than 40% of the total score for each exam).

The course will also be failed if cheating is detected in the student's performance. The first instance of detected cheating or attempted cheating will result in the rejection of the individual exam or assignment. The second instance will lead to the rejection of the entire course performance.

Assessment criteria, satisfactory (1-2)

The student has demonstrated satisfactory achievement of the learning objectives of the course. The student recognizes and is able to utilize the concepts related to the subject matter of the course to some extent.

Assessment criteria, good (3-4)

The student has demonstrated a good achievement of the learning objectives of the course, although there is still room for improvement in some areas of knowledge and skills. The student is able to effectively use the concepts related to the subject matter of the course and apply their learning in academic and work-related situations.

Assessment criteria, excellent (5)

The student has demonstrated an excellent achievement of the learning objectives of the course. The student masterfully understands the concepts related to the subject matter of the course and can analyze related topics smoothly and convincingly. The student possesses strong abilities to apply their learning in academic and work-related situations.

Objective

After completing the course the student:
- can program in C language
- can name different components of system software and explain their function
- can describe the main structure of operating systems
- can explain the function of operating system’s tasks

Content

- C programming
- process management
- file systems
- memory management

Materials

Material in Itslearning / Git

A recommended book (not mandatory to purchase):
Brian Kernighan and Dennis Ritchie: The C Programming Language

Teaching methods

Lectures (on-site)
Practical exercises and demos (on-site)
Self study

Exam schedules

TBD

International connections

Lectures (on-site)
Practical exercises and demos (on-site)
Self study

Completion alternatives

-

Student workload

Lectures 14 x 1h = 14h
Practical exercises and demos: 13x2h = 26h
Exercise work demo: 3h
Self study (coding and other activities) 92h

TOTAL 135h

Content scheduling

After completing the course the student:
- can program in C language
- can use style guide
- can test programs
- can name different components of system software and explain their function
- can describe the main structure of operating systems
- can explain the function of operating system’s tasks
- can use Git version control and git remotes

Weekly lectures and exercises from Week 2 to Week 17