Instructor: Prof. Harry Wechsler email@example.com
Course Description – Principles and methods for knowledge representation, reasoning, learning, problem solving, planning, heuristic search, and natural language processing, and their application to building intelligent systems in a variety of domains. Uses LISP, PROLOG, or expert system programming language.
Prerequisite: C or better in CS 310 and 330
Main Topics: Problem Solving, Search, Knowledge Representation and Reasoning, Uncertainty and Probabilistic Reasoning, Machine Learning, and Communication (Perception / Vision and Natural Language Processing). Additional topics time permitting: Data Mining and Deep Learning.
· Knowledge of and ability to apply uninformed and heuristic search methods;
· Knowledge of and ability to apply knowledge representation and reasoning
methods based on first-order logic;
· Knowledge of and ability to apply basic probabilistic reasoning methods;
· Knowledge of and ability to apply basic machine learning methods;
· Ability to implement basic AI methods in Lisp, Prolog or a knowledge-based
system development environment;
· Ability to identify and apply basic AI methods to a given problem.
Time, Day, and Venue: TR – Tuesday and Thursday, 1:30 pm – 2:45 pm, Art and Design Building L008
Office Hours: TR 3:00 pm – 3:45 pm or by appointment, ENGR 4448.
First day of classes: T, January 24, 2017
Spring Break: week of March 13, 2017
Last day of classes: R, May 4, 2017
Final Exam: T, May 16, 1:30 pm – 4:15 pm
Textbook: Artificial Intelligence: A Modern Approach, Russell and Norvig (3rd ed.), Prentice Hall, 2010.
Textbook Website: http://aima.cs.berkeley.edu/
Textbook Slides: http://aima.eecs.berkeley.edu/slides-pdf/
Complementary Textbook1: ANSI Common LISP, Paul Graham, Prentice Hall, 1995 http://www.paulgraham.com/onlisptext.html OR
Complementary Textbook2: Practical Common LISP http://www.gigamonkeys.com/book/
CLOSED BOOK EXAMINATIONS
· Homework – 15 % // late homework not accepted //
· LISP or PROLOG assignment DUE March 21, 2017 – 15%
· GAME TEAM assignment DUE April 27, 2017 – 15%
· Midterm – (Tentative) R, March 9, 2017 – 15 %
· (Cumulative) Final – May 16, 2017 – 40 %
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You are expected to abide by the GMU honor code. Homework assignments and exams are individual efforts. Information on the university honor code can be found at
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