Game analytics and monetization (5 cr)

Objective

The student is able to collect and interpret data about games.
The student understands the importance of data in game development in terms of quality assurance and monetization.
The student is able to interpret analytics and develop the game accordingly.

Content

How is the data collected?
How is it analyzed?
How can monetization be tested and implemented?
What is forbidden or illegal: morality, ethics, reputation in the industry.

Course material

Study materials will be announced on the course's Learn platform and, as appropriate, on the course's Teams team.

Study forms and methods

Weekly-based learning pathway:
You participate in teaching and supervision as scheduled. Your studies will be paced according to schedules of the group meetings and the independent learning tasks.

Accelerated learning pathway:
The method of participation must be agreed before the beginning of the course. If you work in a company, organization or project offered by a university, you can complete the course or module in your workplace / project either in full or in part.
In this case, you are in contact with the teacher of the course at the beginning of the course and agree on a development task for your workplace / project. Learning requires that in your work, you become acquainted with the themes covered in the course, and master them both in theory and in practice.

RDI and work-related cooperation

Strong cooperation with RDI projects related to game programming. Opportunity to utilize the assignments in the course to develop a work assignment or your own product.

Timing of exams and assignments

The course ends at the time indicated in the implementation schedule, by which time the student has returned the required assignments, completed any exams and met all other requirements for the approved completion of the course.

International cooperation

Possible international cooperation will be announced at the beginning of the implementation on the course's Learn platform and, if necessary, in the Teams team of the course.

Student workload

The workload of the student is 135h, of which approx. 55h are lectures and group work under the guidance of a teacher, in accordance with the rules of procedure. Approx. 80h are homework and assignments that should be worked on independently.

Evaluation scale

1-5

Assessment criteria, good (3)

Students are able to:
- use professional vocabulary systematically.
- look for information in the key information sources of the field.
- identify interrelated tasks.
- use the key models, methods, software and techniques of the professional field.

Assessment methods and criteria

Assignments, exams and participation in contact teaching.