UC_BERKELEY · PHYSICS · COURSE SHEET
PHYSICS 1884 creditsSee offeringsHas prerequisites
Bayesian Data Analysis and Machine Learning for Physical Sciences
CT Score
1500
#0 of 0 in PHYSICS
Difficulty
6/10
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 surveys10.8%
36.1%
12.1%
10.4%
4.4%
4%
2.4%
2.4%
2.8%
0.4%
0.8%
1.2%
2.8%
2.4%
6.8%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F
NP
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
US
Uros Seljak
1 community ratings
10
——Sections
No section data for this term yet.
In the tree
Physics 77 or Data Science 8 or Computer Science 61A or an introductory Python course, or equivalent, or permission from instructor; Physics 89 or Mathematics 54 or Electrical Engineering 16A/B.→PHYSICS 188→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.