AI applications (5 cr)
Code: OT00EK10-3002
General information
Enrollment
08.04.2024 - 21.04.2024
Timing
02.09.2024 - 15.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Informaatioteknologian koulutusyksikkö
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
15 - 30
Degree programmes
- Degree programme in software engineering
Teachers
- Juha Ojala
Groups
-
OTMI22SPSoftware Engineering, full-time studies
- 05.09.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 12.09.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 19.09.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 26.09.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 03.10.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 10.10.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 17.10.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 31.10.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 07.11.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 14.11.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 21.11.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 28.11.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 05.12.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
- 12.12.2024 09:00 - 12:30, Tekoälyn sovellukset OT00EK10-3002
Objective
You know application areas of artificial intelligence and machine learning.
You are able to choose a suitable method to implement an artificial intelligence application.
You understand the operating principles and limitations of artificial intelligence.
Content
What is artificial intelligence, machine learning, and deep learning?
What type of machine learning methods exist and what kind of problems can they solve?
How do you implement an artificial intelligence application?
Opiskelumateriaali
Sovitaan opintojakson alussa
Yksilölliset oppimisväylät
Sovitaan opintojakson alussa
TKI ja työelämäyhteistyö
Sovitaan opintojakson alussa
Evaluation scale
1-5