Table of Contents

Human-Centered Artificial Intelligence

Lectures

  1. 05.10.2026 History, backwards
  2. 12.10.2026 Agents
  3. 19.10.2026 Search
  4. 26.10.2026 Uncertainty
  5. 02.11.2026 Bayes Nets
  6. 09.11.2026 Knowledge representation and reasoning
  7. 16.11.2026 ML 101
  8. 23.11.2026 CSP
  9. 30.11.2026 Reasoning systems
  10. 07.12.2026 MDP and RL
  11. 14.12.2026
  12. 21.12.2026
  13. 11.01.2027
  14. 18.01.2027
  15. 25.01.2027

Labs

Note: Required reading for labs: AIMA = Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 4th ed, Pearson, 2021

  1. [06.10.2026] [KKT] Intro
  2. [13.10.2026] [KKT] Agents
  3. [20.10.2026] [KKT] Search
  4. [27.10.2026] [KKT] Miniprojects - intro
  5. [03.11.2026] [LVM] Uncertainty
  6. [17.11.2026] [LVM] Learning, Supervised
  7. [24.11.2026] [LVM] Learning, Unsupervised
  8. [01.12.2026] [KKT] Miniprojects - checkpoint
  9. [15.12.2026] [???] Automated reasoning systems
  10. [22.12.2026] [???] Learning, Reinforcement
  11. [12.01.2027] [???] Recommendation systems
  12. [19.01.2027] [???] Written test :!:
  13. [26.01.2027] [KKT] Project presentation and evaluation

Grading rules

Learn more!

Additional materials to AIMA handbook:

Related courses: