Artificial Intelligence for HEDSPI program

Syllabus

LECTURES

Lecture 2. Agents

Lecture 3. Problem solving by searching (1) – Basics of searching

Lecture 4. Problem solving by searching (2) – A* search

Lecture 5. Problem solving by searching (4) – alpha-beta pruning

Lecture 6. Logics and knowledge-based inference – Propositional logic

Lecture 7. Logics and knowledge-based inference – First-order logic

Lecture 8. Logics and knowledge-based inference – First-order logic (continue)

Lecture 9. Machine Learning, Decision Tree Learning

Lecture 10. Reinforcement Learning

Note for final exam:

90', open materials, no electronic devices. Please bring your calculator with you.

Limitations for the early final exam on Dec. 20th: all lectures (pay attention to exercises but you may still have theory questions) excepts Robinson's resolution, forward chaining and backward chaining for First Order Logic, reinforcement learning.

Normal final exam: everything you have studied (pay attention to exercises but you may still have theory questions)