Course unit, curriculum year 2026–2027
DATA.ML.100
Introduction to Artificial Intelligence, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2026–18.10.2026)
Active in period 2 (19.10.2026–31.12.2026)
Course code
DATA.ML.100Language of learning
English, FinnishAcademic years
2025–2026, 2026–2027Level of study
Intermediate studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Joni KämäräinenResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Common learning outcomes
Information technology and digital skills
Sustainable development goals
Goal 9: Industry, Innovation and Infrastructure
- Linear regression
- Linear classification
- Probabilistic classification
- Neural network learning
- Decision trees and random forests
- Clustering
- Manifold learning
- Reinforcement learning
Learning outcomes
Prerequisites
Compulsory prerequisites
Further information
Learning material
Equivalences
Kokonaisuudet, joihin opintojakso kuuluu
Completion option 1
Participation in teaching
Blended teaching
24.08.2026 – 23.10.2026
Active in period 1 (1.8.2026–18.10.2026)
Active in period 2 (19.10.2026–31.12.2026)
Open University completion options
The course is also available at the Open University