UT_AUSTIN · LIN · COURSE SHEET
LIN 353DSee offeringsHas prerequisites
Computational Discourse and Natural Language Generation
CT Score
1500
#0 of 0 in LIN
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 surveys72.2%
5.6%
5.6%
11.1%
5.6%
A
A-
B+
B-
C
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
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In the tree
Linguistics 350 (Topic 12), Computer Science 303E , 312 , or basic programming experience in Python or similar languages; and basic knowledge of probability and statistics→LIN 353D→unlocks 0 courses
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Study groups
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