COM SCI 260C
Deep Learning
Grades
3.96
Average grade awarded in COM SCI 260C. Not a student rating: this is what the grades were.
In the A range
97%
of the 182 letter grades
D, F or W
0.0%
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: 182 grades over 2 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 2 terms ran 3.93 to 3.98.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 56 · 30.8%
- A 117 · 64.3%
- A- 3 · 1.6%
- B+ 4 · 2.2%
- C 1 · 0.5%
- C- 1 · 0.5%
Percentages are of the 182 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 |
|---|---|---|---|---|---|---|---|
| HSIEH, CHO-JUI reviews ↗ | 3.95 | 3.96 | 182 | 2 | 97% | - | 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 COM SCI 260C 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
Ran in 1 of the last 4 Winters, so it turns up in Winter sometimes rather than dependably. dibs has no record of it in any quarter since Spring 2023.
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, two hours; outside study, six hours. Requisites: courses 180, 260. Not open to students with credit for Electrical and Computer Engineering C147 or C247. Study of basics of deep neural networks and their applications, including but not limited to computer vision, natural language processing, and graph mining. Covers topics including foundation of deep learning, how to train neural network (optimization), architecture designs for various tasks, and other advanced topics. By course end, students are expected to be familiar with deep learning and be able to apply deep learning algorithms to variety of tasks. Letter grading.
Sections in Winter 2026
From the people who took it
Student reviews
What taking COM SCI 260C was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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External reviews are separate and do not count toward the dibs rating.