CIS 603. Artificial Intelligence

Section 001. Spring 2007

Syllabus

Instructor

Dr. Pei Wang
OFFICE: Room 1050, Wachman Hall (Computer Activity Building)
ADDRESS: CIS Department, Temple University, Philadelphia, PA 19122
PHONE: (215)204-9255
EMAIL: pei.wang@temple.edu

Time/Place

Lectures: Monday 7:25 PM - 9:55 PM (Tuttleman Learning Center 302)
Office Hours: Tuesday & Thursday 12 PM - 2 PM, and by appointment

Prerequisites

CIS 511 or equivalent.

Course Description

This course covers fundamental and advanced topics in Artificial Intelligence, including Search: uninformed search, heuristic search, game search; Planning: deterministic planning, STRIPS planning, nonlinear planning; Theorem Proving: propositional calculus, first order logic, inference with clauses, resolution; Heuristics for NP Hard Problems: optimizations, simulated annealing, genetic algorithms; Knowledge Representation: inference rules, semantics, semantic nets, frame-based; Probabilistic Inference: uncertainty, Bayesian inference, Bayesian networks, HMMs, planning in stochastic domains; Learning: concept learning, PAC learning, inductive learning, decision trees, neural networks; Programming languages for AI; and other topics such as robotics, computer vision, and data mining.

Reading Materials

Textbook: Artificial Intelligence: A Modern Approach (Second Edition), by Stuart Russell and Peter Norvig, Prentice Hall, 2002, ISBN: 0137903952

Additional: On-line materials linked from the course webpage and lecture notes.

Schedule

See course website at http://www.cis.temple.edu/~pwang/603-AI/CIS603.htm

Attendance

Attendance to all lectures are required.

Homework

• Each week there will be an assignment, which is usually a 2-3 page report on one or more given topics. It is due at the following Sunday midnight.
• There is a course project on a topic of the student's own choice. Usually it should be a combination of report writing and programming. The due dates are in the course schedule.
• All submissions will be uploaded to the course discussion group, with the student's last name in file name. Acceptable report format: PDF, HTML, DOC, WPS, and TXT. Acceptable programming language: Java, C/C++, Lisp/Scheme, Prolog, and MATLAB.

Grading

• Weekly assignments: 50%
• Course project: 40%
• Class participation: 10%

All of the above must be the student's own work. Plagiarism and academic cheating will be punished.

Disability Disclosure Statement

Any student who has a need for accommodation based on the impact of a disability should contact me privately to discuss the specific situation as soon as possible. Contact Disability Resources and Services at 215-204-1280 in 100 Ritter Annex to coordinate reasonable accommodations for students with documented disabilities.