MATH 118
Mathematical Methods of Data Theory
Course statistics
- Predicted GPA
- 3.20
- n = 220 · 6 terms · ± 0.036
- A range
- 47%
- of letter grades
- Taken P/NP
- 1%
- 50% of those passed
- D / F / W
- 5.9%
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
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.
- 4222F
- 3423W
- 4623F
- 2624W
- 4224F
- 3325S
Peak 46
Most recent
33
in 25S
6 terms on record
Grade distribution
- A+ 5 · 2.2%
- A 66 · 29.5%
- A- 33 · 14.7%
- B+ 34 · 15.2%
- B 22 · 9.8%
- B- 14 · 6.3%
- C+ 15 · 6.7%
- C 14 · 6.3%
- C- 5 · 2.2%
- D+ 5 · 2.2%
- D 2 · 0.9%
- D- 3 · 1.3%
- F 2 · 0.9%
- P 1 · 0.4%
- NP 1 · 0.4%
- I 1 · 0.4%
- DR 1 · 0.4%
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 |
|---|---|---|---|---|---|
| KASSAB, LARA | 2.99 | 2.97 | 145 | 4 | 37% |
| BAKER, JUSTIN | 3.57 | 3.64 | 75 | 2 | 68% |
“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
- 22F 3.33 n=41
- 23W 2.64 n=33
- 23F 2.86 n=45
- 24W 3.03 n=26
- 24F 3.60 n=42
- 25S 3.68 n=33