CS 480 - Fall 2015

Intro Artificial Intelligence CRN: 70383 CS 480 - 001

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

Grading Composition (100 points)

                     Homework 40 % // late homework not accepted //

                     Midterm (Tentative) R, October 15, 2015 20 %

                     (Cumulative) Final December 16, 2015 - 40 %

Grading Scale

http://www.fcps.edu/southcountyhs/sservices/gradescale.html

Computing Resources

http://labs.vse.gmu.edu/uploads/FacultyFAQ/StudentWelcome.pdf

University email Policy

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.

Honor Code

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