LING 20
Introduction to Linguistic Analysis
Lecture, four hours; discussion, one hour (when scheduled). Introduction to theory and methods of linguistics: universal properties of human language; phonetic, phonological, morphological, syntactic, and semantic structures and analysis; nature and form of grammar. P/NP or letter grading.
Course statistics
- Predicted GPA
- 3.55
- n = 2,331 · 15 terms · ± 0.011
- A range
- 73%
- of letter grades
- Taken P/NP
- 4%
- 81% of those passed
- D / F / W
- 3.9%
- incl. withdrawals
Sections in Fall 2026
| Section | Status | Enrolled | Seat risk | Meets | Instructor | Predicted GPA |
|---|---|---|---|---|---|---|
| Lec 1 | Open |
160 of 197
81% full
|
could fill | MW 4:00pm-5:50pm | Mahajan, A.K. | 3.44n=187 · this instructor |
Enrollment history
Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.
- 18521F
- 17922W
- 14122S
- 20022F
- 18223W
- 18323S
- 19623F
- 21224W
- 20124S
- 22524F
- 11425W
- 19825S
Grade distribution
- A+ 722 · 29.5%
- A 708 · 28.9%
- A- 270 · 11.0%
- B+ 165 · 6.7%
- B 146 · 6.0%
- B- 87 · 3.6%
- C+ 60 · 2.5%
- C 48 · 2.0%
- C- 36 · 1.5%
- D+ 15 · 0.6%
- D 15 · 0.6%
- D- 8 · 0.3%
- F 51 · 2.1%
- P 87 · 3.6%
- NP 20 · 0.8%
- I 7 · 0.3%
- DR 2 · 0.1%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| EISCHENS, BENJAMIN J | 3.78 | 3.78 | 575 | 3 | 84% |
| KEINE, STEFAN | 3.59 | 3.59 | 560 | 3 | 77% |
| MOORE-CANTWELL, CLAIRE | 3.47 | 3.47 | 383 | 2 | 67% |
| SHARVIT, YAEL | 3.50 | 3.50 | 189 | 1 | 66% |
| MAHAJAN, ANOOP K | 3.44 | 3.44 | 187 | 1 | 70% |
| LOCCIONI, NICOLETTA | 3.42 | 3.41 | 175 | 1 | 65% |
| SCHUTZE, CARSON T | 3.19 | 3.15 | 114 | 1 | 54% |
| RETT, JESSICA L | 3.49 | 3.48 | 92 | 2 | 75% |
| MOTTER, THOMAS CLARENCE | 3.25 | 3.15 | 37 | 1 | 57% |
| BOOTH, MADELEINE L | 3.34 | 3.20 | 19 small sample | 1 | 47% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 21F 3.57 n=184
- 22W 3.56 n=167
- 22S 3.15 n=114
- 221 3.20 n=19
- 22F 3.82 n=196
- 23W 3.41 n=175
- 23S 3.62 n=173
- 231 3.31 n=45
- 23F 3.50 n=189
- 24W 3.58 n=203
- 24S 3.76 n=192
- 241 3.64 n=47
- 24F 3.40 n=216
- 25W 3.66 n=224
- 25S 3.44 n=187