CMSC722

Artificial Intelligence Planning

Reviews for this courseTestudo

Prerequisite: CMSC421; or students who have taken courses with comparable content may contact the department; or permission of CMNS-Computer Science department. Automated planning of actions to accomplish some desired goals. Basic algorithms, important systems, and new directions in the field of artificial intelligence planning systems.

Fall 2025

Mark Roberts

1 review
Average rating: 5.00

Past Semesters

Mark Roberts

1 review
Average rating: 5.00

Dana Nau

3 reviews
Average rating: 1.00

Dana Nau

3 reviews
Average rating: 1.00

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 3.20 between 185 students*

CMSC722 Grade Distribution+-05101520253035404550% of studentsABCDFWother
A-: 8.65%
A: 33.51%
A+: 5.95%
B-: 7.57%
B: 23.24%
B+: 5.41%
C-: 0.54%
C: 3.24%
C+: 1.08%
W: 7.03%
other: 3.78%
* "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.