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Future game technologies (5 cr)

Code: PO00EP10-3001

General information


Enrollment

08.04.2024 - 21.04.2024

Timing

26.08.2024 - 22.12.2024

Number of ECTS credits allocated

5 op

RDI portion

2 op

Mode of delivery

Contact teaching

Unit

Department of Information Technology

Campus

Kotka Campus

Teaching languages

  • Finnish

Seats

20 - 45

Degree programmes

  • Degree Programme in Game Programming

Teachers

  • Jani Ruotsalainen

Teacher in charge

Jani Ahde

Groups

  • POKT22SP
    Game programming, full-time studies
  • POKT24SD
    Double Degree in Game programming, part-time studies
  • VOKTIT24S
    Information technology, exchange students
  • 05.09.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 19.09.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 26.09.2024 08:15 - 12:00, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 03.10.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat Self Learning
  • 10.10.2024 08:15 - 12:00, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 17.10.2024 08:15 - 11:30, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 31.10.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 07.11.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 14.11.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 21.11.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001 Self-learning
  • 05.12.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 12.12.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001
  • 19.12.2024 08:15 - 11:45, Tulevaisuuden peliteknologiat PO00EP10-3001

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.

Opiskelumateriaali

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

Yksilölliset oppimisväylät

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.

TKI ja työelämäyhteistyö

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.

Tentit ja muut määräajat

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.

Kansainvälinen yhteistyö

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.

Opiskelijan työmäärä

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.