Game Mathematics and Algorithms (5cr)
Code: 5051236-3006
General information
- Enrollment
- 01.06.2025 - 11.09.2025
- Registration for the implementation has ended.
- Timing
- 01.09.2025 - 30.10.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- ICT and Industrial Engineering
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Degree programmes
- Degree Programme in Information and Communications Technology
- Degree Programme in Information and Communication Technology
Realization has 14 reservations. Total duration of reservations is 42 h 0 min.
| Time | Topic | Location | 
|---|---|---|
| Mon 01.09.2025  time 11:00 - 13:00 (2 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | EDU_3006_3007
                                    Oppimistila avo muunto byod | 
| Thu 04.09.2025  time 08:00 - 12:00 (4 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C3031
                                    Peliteknologialaboratorio | 
| Mon 08.09.2025  time 10:00 - 12:00 (2 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C2033_2034
                                    Oppimistila muunto | 
| Thu 11.09.2025  time 08:00 - 12:00 (4 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C3031
                                    Peliteknologialaboratorio | 
| Mon 15.09.2025  time 08:00 - 10:00 (2 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C2033_2034
                                    Oppimistila muunto | 
| Thu 18.09.2025  time 08:00 - 12:00 (4 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C3031
                                    Peliteknologialaboratorio | 
| Mon 22.09.2025  time 10:00 - 12:00 (2 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C2033_2034
                                    Oppimistila muunto | 
| Thu 25.09.2025  time 08:00 - 12:00 (4 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C3031
                                    Peliteknologialaboratorio | 
| Mon 29.09.2025  time 08:00 - 10:00 (2 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C2033_2034
                                    Oppimistila muunto | 
| Thu 02.10.2025  time 08:00 - 12:00 (4 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C3031
                                    Peliteknologialaboratorio | 
| Mon 06.10.2025  time 08:00 - 10:00 (2 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C2033_2034
                                    Oppimistila muunto | 
| Thu 09.10.2025  time 08:00 - 12:00 (4 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C3031
                                    Peliteknologialaboratorio | 
| Mon 20.10.2025  time 08:00 - 10:00 (2 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C2033_2034
                                    Oppimistila muunto | 
| Thu 23.10.2025  time 08:00 - 12:00 (4 h 0 min) | Game Mathematics and Algorithms 5051236-3006 | ICT_C3031
                                    Peliteknologialaboratorio | 
Evaluation scale
H-5
                    
Content scheduling
7 weeks in September – October
- Cartesian coordinate system
- Vectors and Matrices
- Different metrics to define distances
- Projection and Raycast
- UV coordinate system and textures
- Image processing algorithms
- Vector displacement map vs. heightmap displacement
- Optimisation in rendering: LOD, MipMap Quadtree
                    
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
Materials shared on lectures and in labworks
                    
Teaching methods
Teacher-directed classroom activities, group work and independent work.
Weekly task and learning repots.
The use of AI to support learning is allowed
                    
Pedagogic approaches and sustainable development
Students learn the basic concepts involved in creating visual interactive 3D content and transfer mathematical concepts into code.
                    
Student workload
Classroom activities: Classroom activities participation 7 weeks 6h/week ( 2 h theory, 4 h labwork), Total 42 h 
Homework: Working on homework 7 weeks  12 h /week, total 84
Learning report: Writing personal learning report 1h /week, total 7 h
                    
Evaluation methods and criteria
- Participation to contact lessons are mandatory
- Weekly assignments are divided to three levels.
    - Students will gain point from every successfully completed task level -> course maximum points 3 * 7 = 21
    - Every week at least level 1 assignment need to be returned.-> course minimum points 1 * 7 = 7
    - Grade will be derived linearly from gained points:
             -  7 points -> grade 1
             -  19 points -> grade 5
- Weekly learning report mandatory
    - Purely made reports can lower the grade
    - Nicely made reports can raise the grade
                    
Failed (0)
Course will fail if:
- if not attended at least 50% of the contact lessons
- Not delivered at least one weekly task for every week
                    
Assessment criteria, satisfactory (1-2)
Participated on lectures and  delivered at least one task and learning report every week
                    
Assessment criteria, good (3-4)
Participated on lectures, delivered learning report every week and most of the tasks in course.
                    
Assessment criteria, excellent (5)
Participated on lectures, delivered learning report every week and all most all of the tasks in course.
                    
Further information
All additional information in Course Itslearning pages