Introduction to Artificial Inteligence - Fall 2001

(* UNDER CONSTRUCTION *)

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".

  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) - week 6.
    3. Constructing a knowledge base (Chap. 8) - week 7.
    4. Inference in first-order logic (Chap. 9.1-9.6) - week 8.
    5. Logical reasoning systems (Chap. 10.1-10.6, 10.8) - week 9.
  4. Midterm exam - week 9 (May 3).
  5. Overview on planning (gloss on chapters 11, 12, 13) - week 10.
  6. Handling uncertainty (chapters 14, 15.1-15.4) - weeks 10-11.
  7. Learning (chapters 18.1-18.4, 19.1-19.5, 20.8) - weeks 11-12.
  8. Perception - computer vision (part of chapter 24) - weeks 12, 13.
  9. Final mid-term exam - week 13.


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