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Course unit, curriculum year 2024–2025
DATA.ML.310

Artificial Intelligence, 5 cr

Tampere University
Teaching periods
Active in period 3 (1.1.2025–2.3.2025)
Active in period 4 (3.3.2025–31.5.2025)
Course code
DATA.ML.310
Language of instruction
English
Academic years
2024–2025, 2025–2026, 2026–2027
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Tapio Elomaa
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
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
Kokonaisuudet, joihin opintojakso kuuluu
Completion option 1
Completion of all options is required.

Participation in teaching

07.01.2025 07.03.2025
Active in period 3 (1.1.2025–2.3.2025)
Active in period 4 (3.3.2025–31.5.2025)

Exam

17.02.2025 09.03.2025
Active in period 3 (1.1.2025–2.3.2025)
Active in period 4 (3.3.2025–31.5.2025)