Introduction to Artificial Inteligence - Fall 2007-2008

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", (first edition - 1995).

  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 (chap 4) - week 3.
    3. Adversarial games and game-tree search (chap 5) - week 4.
  3. Knowledge and Reasoning
    1. Agents that reason logically - propositional logic (chap. 6) - week 5.
    2. Using first-order logic (chap. 7).
    3. Inference in first-order logic (Chap. 9.1-9.6).
    4. Logical reasoning systems (Chap. 10.1-10.6).
  4. Material for 2nd mid-term (Russel and Norvig book, 2nd ed.)
    1. 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).
    2. Learning: introduction, neural networks, (chapters 18.1-18.2, 19.1-19.5, 20.5).

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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