MATH 118
Mathematical Methods of Data Theory
Lecture and discussion. The registrar has published a final exam time.
Fall 2026: 1 lecture and 1 discussion. Nothing here is open. The oldest of these readings was 3 hours ago.
Grades
3.17
Average grade awarded in MATH 118. Not a student rating: this is what the grades were.
In the A range
46%
of the 256 letter grades
D, F or W
6.6%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
1%
1 of 2 students passed
The registrar's own records: 256 grades over 7 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 7 terms ran 2.64 to 3.68.
Historical grades for CLIMACO, PAOLO, across recorded terms. The course summary above includes all professors.
- A 7 · 19.4%
- A- 8 · 22.2%
- B+ 1 · 2.8%
- B 7 · 19.4%
- B- 3 · 8.3%
- C+ 2 · 5.6%
- C 4 · 11.1%
- D 4 · 11.1%
Percentages are of the 36 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 | Fall 2026 |
|---|---|---|---|---|---|---|---|
| KASSAB, LARA reviews ↗ | 2.99 | 2.97 | 145 | 4 | 37% | very heavy | not teaching it |
| BAKER, JUSTIN reviews ↗ | 3.55 | 3.64 | 75 | 2 | 68% | - | not teaching it |
| CLIMACO, PAOLO reviews ↗ | 3.03 | 2.96 | 36 | 1 | 42% | - | Closed |
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
Reported assignments across instructors and terms. This term's syllabus may differ.
What the work looks like
- Exams mentioned, no number given, 2 mentions in past reviews
- Problem sets mentioned, no number given, 1 mention in past reviews
Based on 6 reviews; source checked about 1 month 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 6 courses long before MATH 118. This is a floor, not a deadline: dibs has not read a class page for MATH 3B and STATS 12, 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 Falls
Ran in 4 of the last 4 Falls.
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; discussion, one hour. Requisites: courses 42, 115A. Introduction to computational methods for data problems with focus on linear algebra and optimization. Matrix and tensor factorization, PageRank, assorted other topics in matrices, linear programming, unconstrained optimization, constrained optimization, integer optimization, dynamic programming, and stochastic optimization. P/NP or letter grading.
Sections in Fall 2026
Choose an open discussion to enroll; an open lecture alone does not mean a seat is available.
Seat counts as of : the oldest of these 2 readings. Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
-
Seats
ClosedLecture: 40 of 40 · 3 over enrolled
Seat risk
high risk1 discussion, none open. No waitlist listed.Every discussion, with its time and seats: 1 discussion
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Closed
40 of 40 · 3 over enrolled
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Final enrollment, averaged across each term's sections: between 26 and 46 a term over 7 terms, summer excluded, most recently 36 in Fall 2025. That is the shape across years, not this term, which is above.
From the people who took it
Student reviews
What taking MATH 118 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.
Seats over time in Fall 2026
How each lecture has filled since dibs first saw it.
A dot is a reading where something moved: the seat count, the status, or the waitlist.
What a flat run means, and where a line starts
Flat between dots means it did not drift, it held and then jumped, and a line starts when dibs first saw that lecture rather than reaching back before it existed. A lecture that has never moved draws a flat line across the whole window, and one with two or three readings draws a line joining them, which is too few to read a trend from.
Lec 1 · Climaco, P. · 40 of 40 · 3 over enrolled
Nothing read since 18 Oct, 3 hours ago. Over the 2 months before that, same seat count, but the status moved and came back, the waitlist moved and came back, and the seat count moved and came back.
How readings and alerts work
Dated seat counts can be available even when hourly check history is missing. Gaps do not show whether seats changed between observations.
Seat counts show the last successful read, not live availability. Refreshes can be delayed by request limits or upstream interruptions. Watched sections receive priority, but an hourly update for every section is not guaranteed.
The registrar can change a seat count between our checks. Alerts depend on dibs detecting an opening and completing delivery; a quiet watch does not prove that no seat opened. Check the registrar before enrolling.