Game Physics and Algorithms (5 cr)
Code: 5051233-3006
General information
- Enrollment
-
01.06.2025 - 30.10.2025
Registration for the implementation has begun.
- Timing
-
27.10.2025 - 19.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 0 - 30
- Degree programmes
- Degree Programme in Information and Communications Technology
- Degree Programme in Information and Communication Technology
Evaluation scale
H-5
Content scheduling
7 weeks end of October-December
- Fixed time in game engines
- Motion
- Forces and collisions
- Projectile motion and trajectories
- Friction Gravity, Impulse
- Simulations
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
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
Exam schedules
- 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
- 17 points -> grade 5
- Weekly learning report mandatory
- Purely made reports can lower the grade
- Nicely made reports can raise the grade
Pedagogic approaches and sustainable development
Students learn the basic concepts involved in creating visual interactive 3D content and transfer physics theories 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
Learning report: Writing personal learning report 1h /week, total 7 h
Evaluation methods and criteria
Course will fail if:
- if not attended at least 50% of the contact lessons
- Not delivered at least one weekly task for every week
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