MARYLAND · ENEE · COURSE SHEET
ENEE 4363 creditsSee offeringsHas prerequisites
Foundations of 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 ENEE
Difficulty
—/10
Workload
—h/wk
Median grade
A−
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 surveys17.8%
28.6%
19.2%
9.1%
4.4%
6.1%
2.7%
1.3%
0.3%
0.7%
1%
0.3%
2.4%
6.1%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F
W
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
SU
Sennur Ulukus
5 community ratings
7.6
——SD
Sanghamitra Dutta
2 community ratings
9
——AL
Ang Li
4 community ratings
10
——BB
Behtash Babadi
6 community ratings
9.7
——RL
Richard La
11 community ratings
5
——JJ
Joseph JaJa
7 community ratings
5.1
——Sections
No section data for this term yet.
In the tree
1 course with a minimum grade of C- from ( ENEE324 , STAT400 ); and 1 course with a minimum grade of C- from ( ENEE150 , CMSC216 ); and permission of ENGR-Electrical & Computer Engineering department→ENEE 436→unlocks 0 courses
No mapped courses require this one yet. 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.