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Interactive Technology and AI (5op)

Toteutuksen tunnus: MS00CR81-3001

Toteutuksen perustiedot


Ilmoittautumisaika
01.08.2024 - 16.09.2024
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
16.09.2024 - 31.12.2024
Toteutus on päättynyt.
Opintopistemäärä
5 op
Lähiosuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tekniikka ja liiketoiminta
Opetuskielet
englanti
Koulutus
Master of Engineering, Interactive Technologies
Master of Business Administration, Interactive Technologies
Opettajat
Timo Haavisto
Werner Ravyse
Ryhmät
YINTES24
Master of Engineering, Interactive Technologies
YINTBS24
Master of Business Administration, Interactive Technologies
Opintojakso
MS00CR81

Toteutuksella on 2 opetustapahtumaa joiden yhteenlaskettu kesto on 7 t 15 min.

Aika Aihe Tila
Ma 16.09.2024 klo 12:30 - 16:30
(4 t 0 min)
Interactive Technology and AI MS00CR81-3001
Online
Ma 07.10.2024 klo 08:15 - 11:30
(3 t 15 min)
Interactive Technology and AI MS00CR81-3001
Online
Muutokset varauksiin voivat olla mahdollisia.

Arviointiasteikko

H-5

Tavoitteet

Upon completing the Interactive Technology and AI course, students will be able to:
- Calculate and interpret AI evaluation metrics.
- Propose and integrate a relevant and feasible AI solution into an interactive technology application.
- Find and critically apply relevant academic research toward solving an engineering challenge.
- Design and implement an experiment to test AI interventions for or stemming from interactive technology applications.

Sisältö

At the start of the course, students will go through a groundwork phase where they will attend a series of lectures on the latest AI techniques and what they mean for the interactive technology industry. These lectures will also contain material on how to critically evaluate AI solutions, both quantitatively and for practical feasibility.

After the groundwork phase, students will enter an individual conceptualisation phase. During this phase, students will be presented with a real-world problem from one of the Futuristic and Interactive Technologies research group’s RDI projects. Students are expected to consult academic literature and other reputable sources to conceptualise an AI implementation for the problem they were presented.

Upon completing the conceptualisation phase, students will commence a practical phase where they will be placed into a team to either implement the output of their conceptualisation phase or scientifically test an existing AI application.

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