CMSC421

Introduction to Artificial Intelligence

Reviews for this course Testudo

Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program. Introduces a range of ideas and methods in AI, varying semester to semester but chosen largely from: automated heuristic search, planning, games, knowledge representation, logical and statistical inference, learning, natural language processing, vision, robotics, cognitive modeling, and intelligent agents. Programming projects will help students obtain a hands-on feel for various topics.

Fall 2024

Tianyi Zhou

20 reviews
Average rating: 2.50

William Regli

2 reviews
Average rating: 3.50

Spring 2024

Max Ehrlich

0 reviews
Average rating: N/A

Sujeong Kim

0 reviews
Average rating: N/A

Fall 2023

Tianyi Zhou

20 reviews
Average rating: 2.50

Yantian Zha

2 reviews
Average rating: 1.00

Spring 2023

Hal Daume

4 reviews
Average rating: 2.75

Past Semesters

Dana Nau

12 reviews
Average rating: 2.17

Donald Perlis

19 reviews
Average rating: 3.32

Lise Getoor

0 reviews
Average rating: N/A

James Reggia

11 reviews
Average rating: 4.09

Edoardo Serra

0 reviews
Average rating: N/A

Joshua Brule

3 reviews
Average rating: 4.67

Pratap Tokekar

3 reviews
Average rating: 3.67

William Regli

2 reviews
Average rating: 3.50

Marine Carpuat

5 reviews
Average rating: 4.00

Pratap Tokekar

3 reviews
Average rating: 3.67

Tianyi Zhou

20 reviews
Average rating: 2.50

Yao-chih Lee

0 reviews
Average rating: N/A

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.