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LING 370

Intro to Computational Ling

Linguistics

3 credit hoursUsually offered: Fall, Spring
Avg GPA
3.38
Easiness
No data
Total regs
24

Grade Distribution

Based on all available term-level grade data for this course

Avg GPA
3.38
A
62.5%
15
B
20.8%
5
C
12.5%
3
D
0.0%
0
F
4.2%
1
W
0.0%
0
Visual total
24
Other
0
Total regs
24

Quick Insights

Avg GPA
3.38
Easiness
N/A
Pass rate
95.8%
Using A, B, C, D as passing
Withdrawal rate
0.0%
Based on visible distribution
Most common grade
A
Students counted
24
A through F plus W

LING 370 by Professor

Ranked highest to lowest GPA — using A, B, C, D, and F outcomes only

#1
Shin, Gyu-Ho
3.38
RMP
1.0
Graded
24
Total regs
24
#
Professor
Avg GPA
RMP
Graded
Total regs
  • 1
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Shin, Gyu-Ho

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About This Class

Explores how computers process data for language research, specifically focusing on how to apply NLP techniques to language-data-related tasks using Python. Course Information: Extensive computer use required. Prerequisite(s): LING 150 ; or consent of the instructor. Recommended background: Credit in at least one 200-level LING course.

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Shin, Gyu-Ho
3.38
1.0
24
24
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