EC ENGR C143A
Neural Signal Processing
Grades
3.51
Average grade awarded in EC ENGR C143A. Not a student rating: this is what the grades were.
In the A range
72%
of the 253 letter grades
D, F or W
5.5%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
0%
nobody in the record took it pass/no pass
The registrar's own records: 253 grades over 3 terms, Fall 2021 to Fall 2025. Every instructor is pooled here.
What is inside that record
No summer session is in that record.
The table below splits them, and term averages across those 3 terms ran 3.31 to 3.77.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 24 · 9.5%
- A 115 · 45.5%
- A- 42 · 16.6%
- B+ 26 · 10.3%
- B 9 · 3.6%
- B- 9 · 3.6%
- C+ 5 · 2.0%
- C 3 · 1.2%
- C- 6 · 2.4%
- D+ 6 · 2.4%
- D 3 · 1.2%
- D- 2 · 0.8%
- F 3 · 1.2%
Percentages are of the 253 letter grades. Grey bars are non-letter outcomes.
How the non-letter outcomes are counted
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 GPA | Raw | n | Terms | A range | Workload | Winter 2026 |
|---|---|---|---|---|---|---|---|
| KAO, JONATHAN CHAU-YAN reviews ↗ | 3.51 | 3.51 | 253 | 3 | 72% | - | not teaching it |
Why Predicted is not the Raw average
“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.
Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.
Workload and assignments
Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.
dibs has not read this course’s reviews, so it cannot say what kind of work it sets. That is dibs not having looked. It is not a course without papers or exams, and the reviews linked below are the answer until dibs catches up.
What comes first
dibs has not read a class page for EC ENGR C143A in any term it holds, so it cannot say what comes before it.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
In Winters
Has not run in Winter in the 3 Winters dibs holds records for, back to Spring 2022. That is 3 years of grade records rather than the course catalog, so it says what has happened and not what the department will do next.
From the terms dibs holds, which start in Fall 2021 and exclude summer. A department can run a course in a quarter it never has before.
From the registrar's catalog
Lecture, four hours; discussion, one hour; outside study, seven hours. Requisites: course 131A, Mathematics 33A. Topics include fundamental properties of electrical activity in neurons; technology for measuring neural activity; spiking statistics and Poisson processes; generative models and classification; regression and Kalman filtering; principal components analysis, factor analysis, and expectation maximization. Concurrently scheduled with course C243A. Letter grading.
Sections in Winter 2026
From the people who took it
Student reviews
What taking EC ENGR C143A was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
No student reviews are available to read on dibs for this course yet. Took it? Tell the next person what helped, what was hard, and how you spent your time.
Looking for more perspectives?
External reviews are separate and do not count toward the dibs rating.