UC_SAN_DIEGO · ECE · COURSE SHEET
ECE 2264 creditsSee offeringsHas prerequisites
Optimization and Acceleration of Deep Learning on Various Hardware Platforms
CT Score
1500
#0 of 0 in ECE
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 surveys51.2%
7.3%
12.2%
6.1%
10.4%
7.3%
0.6%
1.2%
3.7%
A
A-
B+
B
B-
C
D
F
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
No section data for this term yet.
In the tree
ECE 250 or ECE 269 or ECE 271A with a grade of B– or above; graduate standing→ECE 226→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.