Instructor: Prof. Harry
Wechsler wechsler@gmu.edu
Email correspondence: from / to GMU accounts with subject: CS 480
Course Description
– Principles
and methods for knowledge representation, reasoning, learning, problem solving,
planning, heuristic search, natural language processing, and their application
to building intelligent systems in a variety of domains. Uses LISP, PROLOG, MATLAB,
or expert system programming language.
Prerequisite: Grade of C or
better in CS 310 and 330
Main Topics: Problem Solving,
Search, Knowledge and Reasoning, Uncertainty and Probabilistic Reasoning,
Learning, and Communication (Perception / Vision and Natural Language
Processing). Additional topics time permitting: Data Mining, Deep Learning, and
Biometrics.
Outcomes
· 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 systems development environment;
· Ability to identify and apply basic AI methods to a given
problem.
Time, Day, and Venue: TR – Tuesday and
Thursday, 3:00 pm – 4:15 pm, Innovation Hall 204
Office Hours: TR 2:00 pm – 2:45 pm or by appointment, ENGR 4448.
http://registrar.gmu.edu/calendars/fall-2015/
First day of classes: T, September 1, 2015
No class on T, October 13, 2015 (Columbus Day recess) and R, November 26, 2015 (Thanksgiving recess)
Last
day of classes: R, December 10, 2015
http://registrar.gmu.edu/calendars/fall-2015/exams/
Final Exam: R, December 17, 2015, 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 Textbook: ANSI Common LISP, Paul Graham, Prentice Hall, 1995 http://www.paulgraham.com/onlisptext.html
CLOSED BOOK
EXAMINATIONS
·
Homework
– 40 % // late homework not accepted //
·
Midterm
– (Tentative) R, October
15, 2015 – 20 %
·
(Cumulative)
Final – December 16, 2015 - 40
%
http://www.fcps.edu/southcountyhs/sservices/gradescale.html
Computing Resources
http://labs.vse.gmu.edu/uploads/FacultyFAQ/StudentWelcome.pdf
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
http://oai.gmu.edu/the-mason-honor-code/
Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies