WASHINGTON · ESS · COURSE SHEET
ESS 4694 creditsSee offeringsHas prerequisites
Machine Learning in Geosciences
CT Score
1500
#0 of 0 in ESS
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 surveys51.9%
25.9%
7.4%
7.4%
3.7%
3.7%
A
A-
B+
B
C+
D+
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
No section data for this term yet.
In the tree
either CSE 160, CS163, STAT 220, STAT 221/SOC 221/CS&SS 221, STAT 311, STAT 390, MATH 207, MATH 208, AMATH 301, AMATH 351, or AMATH 352. ; recommended: either knowledge in Matlab or Python, AMATH 301, or 100- or 200-level ESS, ATM S, or OCEAN courses in earth sciences. Offered: A→ESS 469→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.