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Digitaaliset kaksosetLaajuus (5 op)

Tunnus: R504D81

Laajuus

5 op

Ilmoittautumisaika

02.10.2023 - 31.01.2024

Ajoitus

01.02.2024 - 10.05.2024

Laajuus

5 op

Toteutustapa

Lähiopetus

Yksikkö

Insinöörikoulutus, tieto- ja viestintätekniikka

Opetuskielet
  • Englanti
  • Suomi
Paikat

0 - 30

Opettaja
  • Toni Westerlund
Vastuuhenkilö

Toni Westerlund

Opiskelijaryhmät
  • R54D21S
    Bachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2021

Aika ja paikka

Education according to the timetable at the Rantavitika campus, Jokiväylä 11, in the spring semester 2023

Oppimateriaalit

 



Lecture material, examples and exercises. In the Moodle workspace, a link to the shared Drive/OneDrive material directory.

Opetusmenetelmät

36 hours of classroom teaching and exercises, independent study, 101.5 hours of practical work.
Doing exercises in your own time in addition to lessons is essential if you want to achieve the skills and professional qualifications required in working life.

Tenttien ajankohdat ja uusintamahdollisuudet

There is no exam in the course. Competence is demonstrated through practice tasks.

Toteutuksen valinnaiset suoritustavat

There is no exam in the course. Returnable practice tasks or a project of a similar size, which can be used to demonstrate competence in the subject area being discussed.

Lisätietoja opiskelijoille

We use game engines and game technology in the Study Course. Completing the course requires hardware that enables unreal/unity game engine development. Students have access to the school's computers and the opportunity to use the Citrix service

Arviointiasteikko

H-5

Arviointimenetelmät ja arvioinnin perusteet

The assessment is based on the test completed in the study course (demonstrating competence) and the study course's practice assignments.