Instructor: Prof. Harry Wechsler firstname.lastname@example.org
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 %
Per university policy 1315 http://universitypolicy.gmu.edu/policies/employees-electronic-communications/ you must use university email for all Mason-related email. Failure to do so puts us at risk of a violation of FERPA and could expose your entire personal email communications to legal discovery actions in the event of any legal actions that involve you.
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
Additional departmental CS information: