MATH 164
Optimization
Grades
3.16
Average grade awarded in MATH 164. Not a student rating: this is what the grades were.
In the A range
51%
of the 1,299 letter grades
D, F or W
8.3%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
1%
8 of 9 students passed
The registrar's own records: 1,299 grades over 16 terms, Fall 2021 to Fall 2025. Every instructor is pooled here.
What is inside that record
4 of those terms are summer sessions, and summer sessions are counted here.
The table below splits them, and term averages across those 16 terms ran 2.75 to 3.79.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 131 · 10.1%
- A 373 · 28.7%
- A- 158 · 12.2%
- B+ 127 · 9.8%
- B 136 · 10.5%
- B- 96 · 7.4%
- C+ 65 · 5.0%
- C 54 · 4.2%
- C- 51 · 3.9%
- D+ 15 · 1.2%
- D 36 · 2.8%
- D- 21 · 1.6%
- F 36 · 2.8%
- P 8 of 1,313
- NP 1 of 1,313
- S 2 of 1,313
- I 3 of 1,313
Percentages are of the 1,299 letter grades. Grey bars are non-letter outcomes: passes (P), no-passes (NP), satisfactory (S), and incompletes (I).
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 | Summer Session C 2026 |
|---|---|---|---|---|---|---|---|
| KOVACOVA, GABRIELA reviews ↗ | 2.74 | 2.71 | 312 | 5 | 27% | average | not teaching it |
| ENAKOUTSA, KOFFI reviews ↗ | 3.34 | 3.35 | 214 | 4 | 67% | average | not teaching it |
| MENG, TINGWEI reviews ↗ | 3.18 | 3.18 | 193 | 4 | 54% | average | not teaching it |
| DIEPEVEEN, WILLEM reviews ↗ | 2.82 | 2.75 | 84 | 2 | 32% | - | not teaching it |
| ZHOU, MO reviews ↗ | 3.36 | 3.40 | 83 | 1 | 58% | - | not teaching it |
| LI, SHUANG reviews ↗ | 3.68 | 3.80 | 78 | 1 | 87% | - | not teaching it |
| GLEIZER, OLEG reviews ↗ | 3.46 | 3.54 | 70 | 2 | 70% | - | not teaching it |
| KASSAB, LARA reviews ↗ | 2.93 | 2.88 | 70 | 2 | 36% | light | not teaching it |
| SONTHALIA, RISHI SAURABH reviews ↗ | 3.56 | 3.68 | 62 | 2 | 68% | - | not teaching it |
| LI, MINCHEN reviews ↗ | 3.47 | 3.59 | 45 | 1 | 64% | - | not teaching it |
| MONTUFAR CUARTAS, GUIDO FRANCISCO reviews ↗ | 2.79 | 2.61 | 35 | 1 | 17% | - | not teaching it |
| RYU, ERNEST KANG reviews ↗ | 3.50 | 3.69 | 31 | 1 | 84% | - | not teaching it |
| GURDOGAN, HUBEYB USAME reviews ↗ | 3.19 | 3.21 | 22 | 1 | 45% | - | 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.
What the work looks like
- Exams mentioned, no number given, said by 14 reviewers
- Quizzes mentioned, no number given, said by 2 reviewers
- Problem sets mentioned, no number given, said by 15 reviewers
- Group works mentioned, no number given, said by 1 reviewer
Read from 82 reviews 26 days ago. dibs counts only what a review actually states, so a kind of work nobody mentioned is absent rather than zero.
What comes first
The chain dibs can see is 5 courses long before MATH 164. Read from Fall 2026, because dibs has not read a class page for MATH 164 in Summer Session C 2026 and a department can change what it requires. This is a floor, not a deadline: dibs has not read a class page for 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.
From the registrar's catalog
Lecture, three hours; discussion, one hour. Enforced requisites: courses 115A, 131A. Not open for credit to students with credit for former Electrical Engineering 136. Fundamentals of optimization. Linear programming: basic solutions, simplex method, duality theory. Unconstrained optimization, Newton method for minimization. Nonlinear programming, optimality conditions for constrained problems. Additional topics from linear and nonlinear programming. P/NP or letter grading.
Sections in Summer Session C 2026
From the people who took it
Student reviews
What taking MATH 164 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.