Course unit, curriculum year 2026–2027
DATA.ML.310
Artificial Intelligence, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Course code
DATA.ML.310Language of learning
EnglishAcademic years
2024–2025, 2025–2026, 2026–2027Level of study
Advanced studiesGrading scale
Pass-FailPersons responsible
Responsible teacher:
Tapio ElomaaResponsible teacher:
Alexandros Iosifidis starting from 1.5.2025Responsible teacher:
Henri HansenResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Content
Core content
- Problem solving and search
- Uncertain knowledge and reasoning
- Making complex decisions
Complementary knowledge
- heuristic search
- constraint satisfaction
- probabilistic reasoning
Specialist knowledge
- algorithm A*
- natural language processing
- probabilistic models
Learning outcomes
Prerequisites
Recommended prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
All parts of the completion option are compulsory.
Participation in teaching
No scheduled teaching
Exam
No scheduled teaching