CS 4710
Artificial Intelligence
Course Description
Prerequisites
CS 3100 with a grade of C- or better
Introduces artificial intelligence. Covers fundamental concepts and techniques and surveys selected application areas. Core material includes state space search, logic, and resolution theorem proving. Application areas may include expert systems, natural language understanding, planning, machine learning, or machine perception. Provides exposure to AI implementation methods, emphasizing programming in Common LISP. Prerequisite: CS 3100 with a grade of C- or better
Instructors
Lu Feng
Fall 2026
tuth 2:00pm - 3:15pm
2.5
Rating
2.0
Difficulty
3.95
GPA
Ferdinando Fioretto
Fall 2026
mowe 3:30pm - 4:45pm
3.0
Rating
3.0
Difficulty
3.86
GPA
Yen-Ling Kuo
Spring 2026
tuth 11:00am - 12:15pm
3.0
Rating
3.7
Difficulty
3.66
GPA
Zhe Zeng
Spring 2026
mowe 3:30pm - 4:45pm
—
Rating
—
Difficulty
—
GPA
Yangfeng Ji
Spring 2025
MoWe 2:00pm - 3:15pm
1.7
Rating
3.0
Difficulty
3.76
GPA
Chen-Yu Wei
Fall 2024
TuTh 9:30am - 10:45am
—
Rating
—
Difficulty
—
GPA
Mark Floryan
Spring 2022
4.4
Rating
3.4
Difficulty
3.13
GPA
Haifeng Xu
Fall 2021
—
Rating
—
Difficulty
3.73
GPA
Michael Freenor
Spring 2019
3.4
Rating
4.0
Difficulty
4.00
GPA
Dimitrios Diochnos
Fall 2017
3.8
Rating
2.0
Difficulty
3.63
GPA
Worthy Martin
Spring 2014
1.5
Rating
3.0
Difficulty
2.99
GPA