Introduction to Artificial Inteligence - Fall 2011-2012

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) - week 5.
    3. Representing time (chap. 10.3) - weeks 5-6.
    4. Inference in first-order logic (chap. 9) - week 6-7.
  4. First mid-term exam - December 20
  5. Planning (chaps 11.1-11.3, 12.4, 12.5) - weeks 7-8 (start of material for 2nd midterm).
  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 9-11.
  7. Learning: introduction, decision trees, neural networks, (chapters 18.1-18.3, 20.5) - weeks 12-13.
  8. Second mid-term exam: January 24, at 17:30. Material: from "planning" until "learning" inclusive.

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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