MARYLAND · CMSC · COURSE SHEET
CMSC 4213 creditsSee offeringsHas prerequisites
Introduction to Artificial Intelligence
Course command center
Scan the graph impact, grade reality, and student activity before you add it to a path.
GraphGradesPeople
CT Score
1500
#0 of 0 in CMSC
Difficulty
—/10
Workload
—h/wk
Median grade
B+
from grade distribution
Would take again
—
n = 0 verified
ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.
Grade distribution
Student-reported · course feedback surveys10.4%
23.8%
13.7%
10.4%
18.4%
6.5%
3%
5.6%
1.9%
0.3%
0.7%
0.2%
1.4%
3.7%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F
W
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
MM
Maksym Morawski
1 community ratings
4
——DN
Dana Nau
12 community ratings
4.3
——PT
Pratap Tokekar
8 community ratings
8.3
——SK
Sujeong Kim
10 community ratings
4.2
——MN
Mohammad Nayeem Teli
150 community ratings
7.1
——WR
William Regli
2 community ratings
3
——YZ
Yantian Zha
3 community ratings
2
——HD
Hal Daume
9 community ratings
5.1
——ME
Max Ehrlich
3 community ratings
3.3
——DP
Donald Perlis
19 community ratings
6.6
——JR
James Reggia
11 community ratings
8.2
——JB
Joshua Brule
3 community ratings
9.3
——TZ
Tianyi Zhou
21 community ratings
5
——MC
Marine Carpuat
3 community ratings
2
——Sections
No section data for this term yet.
In the tree
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→CMSC 421→unlocks 1 courses
1 mapped course lists CMSC 421 as a prerequisite. See on the map →
Study groups
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