Introduction to Artificial Inteligence - Fall 2008-2009

BGU Computer Science Department

Lecture Topics

Following is a list of topics broken down roughly by weeks in the semester. Times are tentative evaluations used in a previous semester. Relevant chapters are from Russel and Norvig: "AI - a Modern Approach", (2nd edition - 2003).

  1. What is AI? Intelligent agents (chaps. 1, 2) - Week 1.
  2. Problem solving and search
    1. Problem solving and search (chap 3) - week 2.
    2. Informed search methods, CSP (chaps 4, 5) - week 3.
    3. Adversarial games and game-tree search (chap 6) - week 4.
  3. Knowledge and Reasoning
    1. Agents that reason logically - propositional logic (chap. 7) - week 5.
    2. Using first-order logic (chap. 8) - weeks 5-6.
    3. Inference in first-order logic (chap. 9) - week 7.
    4. Representing time (chap. 10.3) - week 7.
  4. First mid-term exam - Jan 8 (week 8).
  5. Planning (chaps 11.1-11.3, 12.4, 12.5) - weeks 8-9
  6. Handling uncertainty and decision making (chapters 13, 14.1-14.5, PLUS d-separation but without MCMC, 16.1-16.3, 16.5, 16.6, 17.1-17.4) - weeks 10-11.
  7. Learning: introduction, decision trees, neural networks, (chapters 18.1-18.3, 20.5) - weeks 12-13.
  8. Second mid-term exam - Feb 12 (week 13).

Additional online material

Most course slides are from Stuart Russel's home page, from the slides directory for the first edition, or the newer slides for the 2nd edition.

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