AI applications (5 cr)
Code: OT00EK10-3001
General information
- Enrollment
-
06.04.2023 - 21.04.2023
Registration for the implementation has ended.
- Timing
-
04.09.2023 - 15.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Department of Information Technology
- Campus
- Mikkeli Campus
- Teaching languages
- Finnish
- Seats
- 20 - 40
- Degree programmes
- Degree programme in Software Engineering
- Teachers
- Juha Ojala
- Teacher in charge
- Juha Ojala
- Groups
-
OTMI21SPSoftware Engineering, full-time studies
- Course
- OT00EK10
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?
Evaluation
Students can
a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
c. identify interrelated tasks.
e. use the key models, methods, software and techniques of the professional field
Course material
Sovitaan opintojakson alussa
RDI and work-related cooperation
Sovitaan opintojakson alussa
Timing of exams and assignments
Sovitaan opintojakson alussa
Evaluation scale
1-5