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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

Spring 2025–Fall 2025 · Percentages use A–F and W outcomes

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
A–F + W
24
Other outcomes
0
All registrations
24

Quick Insights

Avg GPA
3.38
Easiness
N/A
C or better
95.8%
Among A–F outcomes
D or better
95.8%
Among A–F outcomes
Withdrawal rate
0.0%
Among A–F and W outcomes
Most common grade
A
Letter grades only
Outcomes counted
24
A–F and W outcomes

LING 370 by Professor

Ranked by historical GPA for 2024SP–2026SP · A–F outcomes only · minimum 20 graded outcomes

#1
Shin, Gyu-Ho
3.38
RMP
1.0
1 reviews
Graded
24
Total regs
24
#
Professor
Avg GPA
Student rating
Graded
Total regs
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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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Methodology
1
Shin, Gyu-Ho
3.38
1.0 (1)
24
24