MARYLAND · CMSC · COURSE SHEET
CMSC 4223 creditsSee offeringsHas prerequisites
Introduction to Machine Learning
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 surveys13.8%
21.6%
12.6%
11.3%
15.5%
7.7%
4.5%
5.5%
2.8%
0.3%
0.6%
0.1%
0.8%
2.9%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F
W
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
FH
Furong Huang
6 community ratings
6.3
——VS
Venkatramanan Subrahmanian
2 community ratings
10
——DJ
David Jacobs
11 community ratings
7.6
——SF
Soheil Feizi
5 community ratings
7.2
——MN
Mohammad Nayeem Teli
150 community ratings
7.1
——WR
William Regli
2 community ratings
3
——HD
Hal Daume
9 community ratings
5.1
——JR
James Reggia
11 community ratings
8.2
——RD
Ramani Duraiswami
8 community ratings
6.5
——MC
Marine Carpuat
3 community ratings
2
——HH
Heng Huang
4 community ratings
5.5
——Sections
No section data for this term yet.
In the tree
Minimum grade of C- in CMSC320 , CMSC330 , and CMSC351 ; and 1 course with a minimum grade of C- from ( MATH240 , MATH341 , MATH461 , ENEE290 ); and permission of CMNS-Computer Science department→CMSC 422→unlocks 1 courses
1 mapped course lists CMSC 422 as a prerequisite. See on the map →
Study groups
0 active🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.