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Course Outline

The course outline is a guideline to topics that will be discussed in the course, and when they will be discussed:

Course Outline

Date Reading Slides Resources
January 7 (R&N) Chapter 1 and 2 Introduction to AI and Intelligent Agents -
January 9 & 14 (C&M) Chapter 1, 2, 3.1-3.3, 8 Prolog Core Concepts and Notationzebra.txt,family.txt,SWI-Prolog Getting Started,Exercise Set 1
January 16 & 21 (R&N) Chapter 8 (Chapter 7 is optional) Knowledge Representation & First-Order Logic -
January 23 & 28 (R&N) Chapter 9 (9.1, 9.2, 9.5) Inference in First-Order Logic -
January 30 & February 4 (R&N) Chapter 9 and (C&M) Chapter 4 and 10 - Optional Readings: Brachman and Levesque, Knowledge Representation and Reasoning, Chapters 5 & 6 Reasoning with Horn Theories and Procedural Control of Reasoning -
February 6 & 11 (C&M) Chapter 3, 4, 5 (5.1, 5.5) and 6 Prolog control flow, Negation as failure, Cut, 2nd order features and Tail recursion -
February 11 & 13 (C&M) Chapter 7 and 9 Prolog programming techniques, recursion, divide and conquer, text proessing -
February 27 & March 4 (R&N) Chapter 3 (3.1-3.4) Uninformed Search I -
March 4 & March 6 (R&N) Chapter 3 (3.1-3.4) Uninformed Search II -
March 11 & March 13 (R&N) Chapter 3 (3.5-3.6) and 4 (4.1) Informed Search -
March 18 & March 20 (R&N) Chapter 5 (5.1-5.3 and 5.7) Game Tree Search -
March 25 & March 27 (R&N) Chapter 6 CSPs & Backtracking Search -
April 1 (R&N) Chapter 13 and Chapter 14 Sec. 1 and 2 - Optional Readings: Brachman and Levesque, Knowledge Representation and Reasoning, Chapter 12 Reasoning under Uncertainty -
April 3 - Introduction to Functional Programming and LISP Rename to lp.lsp lp.txt
course_outline.txt · Last modified: 2013/04/04 13:33 by bita