Study Guide

Objectives (course unit)

Student is able to demonstrate understanding of the Physics systems in game engines. They are able to demonstrate understanding of Computer Graphics and Simulations. They can also plan and create AI and behaviour for games.

Content (course unit)

Game Programming,
Game UI,
Game Physics,
Game Maths,
Computer Graphics,
Shaders,
AI,
Behaviour,
Simulations.

Prerequisites (course unit)

Season 1

Further information (course unit)

For Games Academy students.

Assessment criteria, satisfactory (1-2) (course unit)

The student can describe Physics System in a game engine.
The student can describe AI in games.
The student can describe the basic concepts of computer graphics.

Assessment criteria, good (3-4) (course unit)

The student can design and create basics shaders for games.
The student can design and create pathfinding for games.

Assessment criteria, excellent (5) (course unit)

The student can apply learned skills to design and implement AI systems and behaviours for games.
The student can apply learned skills to design and implement Physics systems for games.

Exam schedules

No exam. The course is graded by exercises.

Assessment methods and criteria

The course is completed by returning two exercises per student per course, which are linked to the course's Game Project 2 project. If the student is not attending the Game Project 2 course, they can implement the exercises to the example project which is implemented during the course.

Exercises evaluate how well a student has learnt course topics and how well they can apply that to a real game project. Grading is based on how well the solution follows the given task and how well programming practices studied during the course are followed.

If the student takes part in both Game Programming 1 and 2 courses, they will return four exercises. Exercises are done primarily in teams. If the team has two programmers, they will return eight exercises in total.

Grading of the exercise:
0: The work is not returned on time.
1-2: The solution is returned on time, but it does not work properly as the task mandates.
3: The solution is returned on time and it works as the task mandates.
4-5: The solution is returned on time and it works as the task mandates. Additionally, the solution follows the practices studied during the course well.

The course's grade is calculated as the average of the exercises (50%) and peer reviews of team members (50%).

Assessment scale

0-5

Teaching methods

Lectures on-premises

Learning materials

Online material which is published in course's Moodle page.

Student workload

See Games Academy's Google Calendar

Content scheduling

Courses Game Programming 1 and 2 are combined into one. Game Programming 1 course's lessons are held at period 3 and at the beginning of period 4. Game Programming 2's lessons are held at period 4. Game Programming 3's lessons are held in period 3. A more detailed schedule is published on the courses Moodle page.

Completion alternatives

Will be agreed case by case with the teacher.

Objectives (course unit)

Student is able to demonstrate understanding of the Physics systems in game engines. They are able to demonstrate understanding of Computer Graphics and Simulations. They can also plan and create AI and behaviour for games.

Content (course unit)

Game Programming,
Game UI,
Game Physics,
Game Maths,
Computer Graphics,
Shaders,
AI,
Behaviour,
Simulations.

Prerequisites (course unit)

Season 1

Further information (course unit)

For Games Academy students.

Assessment criteria, satisfactory (1-2) (course unit)

The student can describe Physics System in a game engine.
The student can describe AI in games.
The student can describe the basic concepts of computer graphics.

Assessment criteria, good (3-4) (course unit)

The student can design and create basics shaders for games.
The student can design and create pathfinding for games.

Assessment criteria, excellent (5) (course unit)

The student can apply learned skills to design and implement AI systems and behaviours for games.
The student can apply learned skills to design and implement Physics systems for games.

Exam schedules

No exam. The course is graded by exercises.

Assessment methods and criteria

The course is completed by returning two exercises per student per course, which are linked to the course's Game Project 2 project. If the student is not attending the Game Project 2 course, they can implement the exercises to the example project which is implemented during the course.

Exercises evaluate how well a student has learnt course topics and how well they can apply that to a real game project. Grading is based on how well the solution follows the given task and how well programming practices studied during the course are followed.

If the student takes part in both Game Programming 1 and 2 courses, they will return four exercises. Exercises are done primarily in teams. If the team has two programmers, they will return eight exercises in total.

Grading of the exercise:
0: The work is not returned on time.
1-2: The solution is returned on time, but it does not work properly as the task mandates.
3: The solution is returned on time and it works as the task mandates.
4-5: The solution is returned on time and it works as the task mandates. Additionally, the solution follows the practices studied during the course well.

The course's grade is calculated as the average of the exercises (50%) and peer reviews of team members (50%).

Assessment scale

0-5

Teaching methods

Remote lectures and on-premises workshops,
Exercises

Learning materials

Online material which is published in course's Moodle page.

Student workload

See Games Academy's Google Calendar

Content scheduling

Courses Game Programming 1 and 2 are combined into one. Game Programming 1 course's lessons are held at period 3 and at the beginning of period 4. Game Programming 2's lessons are held at period 4. Game Programming 3's lessons are held in period 3. A more detailed schedule is published on the courses Moodle page.

Completion alternatives

Will be agreed case by case with the teacher.

Further information

Remote lessons are held on Zoom: Link: https://linkki.si/2023-Game-Programming

Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)

One or both of the exercises are not returned on time.

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

See previous topic: "Evaluating criterias"

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

See previous topic: "Evaluating criterias"

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

See previous topic: "Evaluating criterias"

Objectives (course unit)

Student is able to demonstrate understanding of the Physics systems in game engines. They are able to demonstrate understanding of Computer Graphics and Simulations. They can also plan and create AI and behaviour for games.

Content (course unit)

Game Programming,
Game UI,
Game Physics,
Game Maths,
Computer Graphics,
Shaders,
AI,
Behaviour,
Simulations.

Prerequisites (course unit)

Season 1

Further information (course unit)

For Games Academy students.

Assessment criteria, satisfactory (1-2) (course unit)

The student can describe Physics System in a game engine.
The student can describe AI in games.
The student can describe the basic concepts of computer graphics.

Assessment criteria, good (3-4) (course unit)

The student can design and create basics shaders for games.
The student can design and create pathfinding for games.

Assessment criteria, excellent (5) (course unit)

The student can apply learned skills to design and implement AI systems and behaviours for games.
The student can apply learned skills to design and implement Physics systems for games.

Exam schedules

No exam. The course is graded by exercises.

Assessment methods and criteria

The course is completed by returning two exercises which are linked to course's Game Project 2 project. If the student is not attending to the Game Project 2 course, they can implement the exercises to the example project which is implemented during the course.
Exercises evaluate how well student has learnt course's topics and how well they can apply that to a real game project. Grading is based on how well the solution follows the given task and how well programming practices studied during the course are followed.

Grading of the exercise:
0: The work is not returned on time.
1-2: The solution is returned on time, but it does not work properly as the task mandates.
3: The solution is returned on time and it works as the task mandates.
4-5: The solution is returned on time and it works as the task mandates. Additionally the solution follows the practices studied during the course well.

The course's grade is calculated the average of the two exercises.

Assessment scale

0-5

Teaching methods

Remote lectures,
Exercises

Learning materials

Online material which is published in course's Moodle page.

Student workload

See Games Academy's Google Calendar

Content scheduling

Courses Game Programming 1 and 2 are combined into one. Game Programming 1 course's lessons are held at period 3 and at the beginning of period 4. Game Programming 2's lessons are held at period 4. Game Programming 3's lessons are held in period 3. A more detailed schedule is published on the courses Moodle page.

Completion alternatives

Will be agreed case by case with the teacher.

Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)

One or both of the exercises are not returned on time.

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

See previous topic: "Evaluating criterias"

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

See previous topic: "Evaluating criterias"

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

See previous topic: "Evaluating criterias"