Machine Learning and Data Mining (5 cr)
Code: IC10032-3001
General information
- Enrollment
- 01.10.2025 - 31.10.2025
- Registration for introductions has not started yet. Registration starts :startDate
- Timing
- 01.01.2026 - 08.03.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Insinöörikoulutus / Information Technology (IC)
- Campus
- Wärtsilä Campus Karjalankatu 3
- Teaching languages
- English
- Seats
- 10 - 120
- Degree programmes
- Degree Programme in Information and Communication Technology
- Teachers
- Seppo Nevalainen
- Teacher in charge
- Seppo Nevalainen
- Groups
-
ICNS23Bachelor of Engineering, Information Technology, Full-time Studies, Fall, 2023
- Course
- IC10032
Evaluation scale
H-5
Objective
- you know the basic principles of data mining and machine learning
- you know how data mining and machine learning differ
- you know how to apply data mining and machine learning in practice.
Content
- Data mining essentials
- Machine learning essentials
- Difference between data mining and machine learning.