UC_BERKELEY · EECS · COURSE SHEET
EECS 1264 creditsSee offeringsHas prerequisites
Probability and Random Processes
CT Score
1500
#0 of 0 in EECS
Difficulty
9.1/10
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 surveys5.3%
29.1%
13.8%
12.9%
10.3%
6.7%
3%
2.8%
1.1%
0.2%
0.7%
1.4%
1.4%
11.3%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
F
NP
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
PK
Preeya Khanna
3 community ratings
8.7
——KR
Kannan Ramchandran
8 community ratings
8.8
——JJ
Jiantao Jiao
2 community ratings
6
——Sections
No section data for this term yet.
In the tree
COMPSCI 70 preferred but not required. AND Familiarity with linear algebra.→EECS 126→unlocks 5 courses
5 mapped courses list EECS 126 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.