ILLINOIS · CS · COURSE SHEET
CS 5424 creditsSee offeringsHas prerequisites
Statistical Reinforcement Learning
CT Score
1500
#0 of 0 in CS
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 surveys11.2%
44.8%
16.2%
10.8%
7.7%
5.8%
0.8%
0.4%
0.4%
0.4%
1.5%
A+
A
A-
B+
B
B-
C
C-
D+
D
F
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
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In the tree
Calculus, linear algebra, probability and statistics, and basic concepts of machine learning. Familiarity with (at least one of) the following topics is highly recommended: stochastic processes, numerical analysis, and theoretical computer science→CS 542→unlocks 0 courses
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Study groups
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