STATS C161
Introduction to Machine Learning and Artificial Intelligence
Grades
3.88
Average grade awarded in STATS C161. Not a student rating: this is what the grades were.
In the A range
94%
of the 121 letter grades
D, F or W
0.8%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
2%
1 of 2 students passed
The registrar's own records: 121 grades over 5 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 5 terms ran 3.78 to 4.00.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 28 · 23.1%
- A 65 · 53.7%
- A- 21 · 17.4%
- B+ 4 · 3.3%
- B 2 · 1.7%
- D 1 · 0.8%
- P 1 of 123
- NP 1 of 123
Percentages are of the 121 letter grades. Grey bars are non-letter outcomes: passes (P) and no-passes (NP).
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 2027 |
|---|---|---|---|---|---|---|---|
| AMINI, ARASH ALI reviews ↗ | 3.83 | 3.82 | 50 | 2 | 86% | - | not teaching it |
| CHENG, GUANG reviews ↗ | 3.88 | 3.90 | 38 | 2 | 100% | - | not teaching it |
| WU, YINGNIAN reviews ↗ | 3.93 | 3.96 | 33 | 1 | 100% | - | 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
The chain dibs can see is 6 courses long before STATS C161. Read from Fall 2026, because dibs has not read a class page for STATS C161 in Winter 2027 and a department can change what it requires. This is a floor, not a deadline: dibs has not read a class page for MATH 170A and MATH 3B, so the real chain can only be longer than this, never shorter.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
In Winters
Ran in 2 of the last 3 Winters.
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, three hours. Requisites: course 100B, Mathematics 33A. Introduction to pattern analysis and machine intelligence designed for advanced undergraduate and graduate students. Concurrently scheduled with course C261. P/NP or letter grading.
Sections in Winter 2027
From the people who took it
Student reviews
What taking STATS C161 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.
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External reviews are separate and do not count toward the dibs rating.