Future game technologies (5 cr)

Objective

What do silent signals and megatrends predict about the future of gaming?
Understand the direction developments can take in the future by understanding the present.
The rate of change in the gaming industry is significantly faster than in other industries and you know how to take this into account in the relatively long timeframe of game development.

Content

What do the signals and megatrends predict?
The more detailed content of the course is determined by the trends at the time of implementation
VR, AR, MR and XR use cases.
During the course, a technology research project will be implemented, in which students will choose one new technology in small groups, which they will learn more about and produce a presentation about the technology and its application possibilities.

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 technologies. 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. 80 h are homework and assignments that can be worked on independently.

Evaluation scale

1-5

Assessment criteria, good (3)

e. choose appropriate models, methods, software and techniques according to the purpose and justify these choices.
f. promote teams’ goal-oriented operation.
g. apply critically the ethical principles of the professional field in different situa-tions.

Assessment methods and criteria

Assignments, exams and participation in contact teaching.