COM SCI M148
Introduction to Data Science
Course statistics
- Predicted GPA
- 3.36
- n = 1,237 · 8 terms · ± 0.015
- A range
- 54%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 2.6%
- incl. withdrawals
Sections in Fall 2026
| Section | Status | Enrolled | Seat risk | Meets | Instructor | Predicted GPA |
|---|---|---|---|---|---|---|
| Lec 1 | Open |
129 of 140
92% full
|
fills | TR 4:00pm-5:50pm | Szymanski, N. | 3.36n=1,237 · course average |
| Lec 91 | Closed |
15 of 15
100% full
|
fills | TR 4:00pm-5:50pm | Szymanski, N., TA | 3.36n=1,237 · course average |
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.
- 11121F
- 16422W
- 24423W
- 9123F
- 15024W
- 22124F
Peak 244
Most recent
221
in 24F
6 terms on record
Grade distribution
- A+ 146 · 11.7%
- A 295 · 23.7%
- A- 221 · 17.8%
- B+ 160 · 12.9%
- B 182 · 14.6%
- B- 94 · 7.6%
- C+ 50 · 4.0%
- C 38 · 3.1%
- C- 19 · 1.5%
- D+ 7 · 0.6%
- D 11 · 0.9%
- D- 7 · 0.6%
- F 7 · 0.6%
- I 6 · 0.5%
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 |
|---|---|---|---|---|---|
| MIRZASOLEIMAN, BAHARAN | 3.33 | 3.33 | 708 | 4 | 55% |
| BATISTA, SANDRA | 3.24 | 3.23 | 221 | 1 | 34% |
| SUN, YIZHOU | 3.59 | 3.61 | 197 | 2 | 71% |
| SARRAFZADEH, MAJID | 3.36 | 3.36 | 111 | 1 | 50% |
“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 3.36 n=111
- 22W 3.81 n=164
- 23W 3.17 n=243
- 23F 3.63 n=91
- 24W 3.17 n=150
- 241 3.59 n=106
- 24F 3.23 n=221
- 25W 3.24 n=151