EC ENGR C143A
Neural Signal Processing
Course statistics
- Predicted GPA
- 3.38
- n = 164 · 2 terms · ± 0.041
- A range
- 65%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 7.9%
- 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.
- 6722S
- 9723S
Peak 97
Most recent
97
in 23S
2 terms on record
Grade distribution
- A+ 14 · 8.5%
- A 67 · 40.9%
- A- 26 · 15.9%
- B+ 17 · 10.4%
- B 8 · 4.9%
- B- 6 · 3.7%
- C+ 4 · 2.4%
- C 3 · 1.8%
- C- 6 · 3.7%
- D+ 5 · 3.0%
- D 3 · 1.8%
- D- 2 · 1.2%
- F 3 · 1.8%
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 |
|---|---|---|---|---|---|
| KAO, JONATHAN CHAU-YAN | 3.37 | 3.37 | 164 | 2 | 65% |
“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
- 22S 3.31 n=67
- 23S 3.41 n=97