Artificial intelligence

Course Code :1002WETAIN
Study domain:Computer Science
Academic year:2015-2016
Semester:1st semester
Sequentiality:Minimum 8/20 for Algorithms and complexity.
Contact hours:60
Study load (hours):168
Contract restrictions: No contract restriction
Language of instruction:English
Exam period:exam in the 1st semester
Lecturer(s)Jeroen Famaey
Steven Latré
Thomas Van Brussel

3. Course contents *

Next to a general introduction and a wide overview of AI, we study different types of AI problems:

  • Search (uninformed search, heuristic search)
  • Probabilistic inference (Bayes networks)
  • Supervised learning (decision trees, linear regression, logistic regression)
  • Unsupervised learning (K-means, expectation maximization, dimensionality reduction, principal component analysis)
  • Reinforcement learning (Markov decision process, dynamic programming, SARSA, Q-learning)
  • Neural networks
  • Game theory