Introduction to Artificial Inteligence - Fall 2003-2004

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.
  4. Midterm exam (tentatively, Wednesday, December 10).
  5. Syllabus for 2nd mid-term:
    1. Using first-order logic (chap. 7).
    2. Constructing a knowledge base (Chap. 8). (Will probably be omitted this time).
    3. Inference in first-order logic (Chap. 9.1-9.6).
    4. Logical reasoning systems (Chap. 10.1-10.6).
    5. Handling uncertainty (chapters 14, 15.1-15.4).
    6. Learning (chapters 18.1-18.4, 19.1-19.5, 20.8).
  6. Perception - computer vision (part of chapter 24) - weeks 13 (Wednesday).
  7. Final mid-term exam, week 13 (tentatively Wednesday, January 21).

Additional online material

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

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