UT_AUSTIN · C S · COURSE SHEET
C S 363HSee offeringsHas prerequisites
Principles of Machine Learning I: Honors
CT Score
1500
#0 of 0 in C S
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 surveys48.9%
13.8%
1.1%
20.2%
8.5%
7.5%
A
A-
B+
B
B-
C
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
No section data for this term yet.
In the tree
The following coursework with a grade of at least C-: Computer Science 429 or 429H ; Mathematics 362K or Statistics and Data Sciences 321 ; and Mathematics 340L , 341 , or Statistics and Data Sciences 329C→C S 363H→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.