CSCI 363/780 Artificial Intelligence

Syllabus - Fall 2017

 

Instructor

Changhe Yuan, Ph.D.

Email: changhe.yuan@qc.cuny.edu

Office: SB A342

Phone: 73484

Office Hours: M: 2:30-3:30pm Otherwise by appointment

Sections

M,W 10:30am - 12:00pm         SB D141

Homepage

http://url.cs.qc.cuny.edu/teaching/CSCI363Fall2017/syllabus.html

Prerequisite

CSCI 323 Design and Analysis of Algorithms, MATH 241 Introduction to Probability and Mathematical Statistics, MATH 231 Linear Algebra

Description

Three hours lecture. Study of the computer in context with human thought processes. Heuristic programming; search strategies; constraint satisfaction problem, uncertainty reasoning; Bayesian networks; machine learning; natural language processing.

Textbook

Main text: S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach

Lectures

http://url.cs.qc.cuny.edu/teaching/CSCI363Fall2017/schedule.htm

Grading Policy

Participation, 5%

Mid-term exams, 45%

Assignments, 30%

Final project, 20%

 

The grading will be on a 100-point scale.

Your participation grade will largely depend on your attentiveness in the class, participation in the class discussion, willingness to ask/answer questions, preparation for class, and your overall attitude. Any student falling asleep in the class will most likely receive a 0 in the participation grade. Misuse of laptops will also result in poor participation grade.

Class Conduct

Students should conduct themselves in a professional manner.

Laptops will be allowed only for the purpose of the class. If a student uses the laptop for some other purposes and distracts others, the participation grade will certainly be affected.

Students have to turn their cell phones OFF during the class.

No chatting between students except participating in discussions.

Class Attendance

There will be NO make-up exams. If you miss a test for a legitimate reason, your overall grade will be determined by other grades. If the absence is unexcused, the student will be assigned 0 for the test.

Academic Honesty

Students who plagiarize a computer program (or parts of a program), get others to write a program (or parts of a program), or are found cheating on a quiz/exam, will be reported for academic dishonesty. Anyone who is caught cheating will receive a 0 on a given quiz/exam or assignment. If a second offense occurs, the student will receive an F in the class. This includes both the provider of the information as well as the receiver of the information. Any student who violates the university's academic honesty policy will be reported to the Office of Academic Integrity. For details, look at: http://www.qc.cuny.edu/about/administration/Provost/Policies/Documents/Academic%20Integrity%20Memo%20Fall%202014.pdf

Add/Drop Policy

http://advising.qc.cuny.edu/generalinfo/acadpol/DisAttenCourse.php

E-mail

All email communications will have to be made using cunyfirst. It is not uncommon for additional instructions or guidance to be sent by e-mail, so check your mail often. Students will be responsible for any instructions sent by e-mail more than 24 hours old. The instructor checks mail several times a day (and usually night), so e-mail is often the best way to contact the instructor.