Computer Game Development Project (DADIU)

Course content

The purpose of this course is to teach the art and science of creating computer games.

During the course, students will be creating their own sub-engine part that will be integrated into the games being produced. The engine that must be designed and implemented has to add something new. For instance, one may implement algorithms to support data-driven character animation or procedural generation of terrain or worlds. The particular requirements for what the engine needs to solve change from year to year.

This course is given in collaboration with the Danish National Academy of Digital Interactive Entertainment (DADIU).  Students from different universities and art schools are taught together in 3 phases: Joint curriculum, Game Workshop, and Graduation Game. Computer Science students are given the role of game programmer, possibly lead programmer.

The course is particularly relevant for students wishing to work with computer game creation after their studies.


MSc Programme in Computer Science

Learning outcome

Having completed this course, the student will have

Knowledge of

  • The theoretical basis for creating computer games.
  • Different aspects and phases of the game development process.
  • The key elements for successful teamwork.
  • A concrete game implementation platform and development environment.

Skills to

  • Analyse and select the best algorithms and/or data structures for solving a given problem in a computer game.
  • Implement complex program components for game logic, visual presentation, and/or player interaction.
  • Evaluate, and possibly optimize, the performance of a computer game.

Competences to

  • Cooperate with a game production team as a game programmer.
  • Participate in inter-disciplinary teamwork with multiple member roles, both technical and artistic.
  • Take professional responsibility for a well-defined component or aspect of a large software development project.

Mixture of lectures and group work.

It is recommended that you have passed all the mandatory courses in the first year of the MSc programme before taking DADIU (i.e. AP, AADS, ML and ACS).

Academic qualifications equivalent to a BSc degree is recommended.

You must be enrolled in the MSc programme in Computer Science at the University of Copenhagen.

Part of the activities take place off-campus at various locations in Copenhagen.

Continuous feedback during the course of the semester
Peer feedback (Students give each other feedback)

Examples of feedback in DADIU:

  • Process evaluation – approximately once a week in relation to a task. This type of feedback is non-technical.
  • Peer reviews – part of the competence development students will conduct peer-review of each other’s code. This is technical feedback.
  • Evaluation of content– at the end of DADIU the programmers will meet an experienced game industry programmer who will evaluate the process and technical solutions.
Type of assessment
Oral examination, 30 min.
Type of assessment details
The oral presentation (30 min. without preparation) at DIKU will be based on the 1-3 assignments i.e. the games developed during the course.
Exam registration requirements

1-3 assignments i.e. the games developed during the course.

All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners

If a student is not qualified for the exam, qualification can be achieved by handing in the assignments (games) no later than 4 weeks before the exam and approval of assignments (games) no later than 3 weeks before the re-exam.

The re-exam is an oral examination (30 minutes without preparation).

Criteria for exam assessment

See Learning Outcome.

  • Category
  • Hours
  • Lectures
  • 60
  • Preparation
  • 240
  • Practical exercises
  • 60
  • Project work
  • 464
  • English
  • 824


Course number
Programme level
Full Degree Master

2 blocks

Block 1 And Block 2
The course runs full-time in the fall semester; it is not possible to follow other courses concurrently.
No limit
The number of seats may be reduced in the late registration period
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Computer Science
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Kenny Erleben   (5-6f6972727d44686d326f7932686f)
Saved on the 28-02-2023

Are you BA- or KA-student?

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Courseinformation of students