CMSC421

Introduction to Artificial Intelligence

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.

Spring 2026

19 reviews
Average rating: 2.42

5 reviews
Average rating: 2.20

Fall 2025

19 reviews
Average rating: 2.42

5 reviews
Average rating: 2.20

Summer 2025

3 reviews
Average rating: 1.00

Spring 2025

7 reviews
Average rating: 4.00

4 reviews
Average rating: 1.50

21 reviews
Average rating: 2.48

Past Semesters

19 reviews
Average rating: 2.42

21 reviews
Average rating: 2.48

3 reviews
Average rating: 1.67

5 reviews
Average rating: 2.20

21 reviews
Average rating: 2.48

1 review
Average rating: 1.00

3 reviews
Average rating: 3.00

7 reviews
Average rating: 4.00

21 reviews
Average rating: 2.48

0 reviews
Average rating: N/A

19 reviews
Average rating: 2.42

6 reviews
Average rating: 3.33

3 reviews
Average rating: 3.33

7 reviews
Average rating: 4.00

8 reviews
Average rating: 2.63

2 reviews
Average rating: 4.00

0 reviews
Average rating: N/A

3 reviews
Average rating: 4.67

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.15 between 3,299 students*

CMSC421 Grade Distribution+-05101520253035404550% of studentsABCDFWother
A-: 14.13%
A: 22.07%
A+: 10.09%
B-: 6.88%
B: 18.61%
B+: 10.58%
C-: 2.06%
C: 5.94%
C+: 3.06%
D-: 0.18%
D: 0.7%
D+: 0.36%
F: 1.42%
W: 3.73%
other: 0.18%
* "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.