COM SCI C121
Probabilistic Models in Computational Genomics
Grades
3.82
Average grade awarded in COM SCI C121. Not a student rating: this is what the grades were.
In the A range
90%
of the 350 letter grades
D, F or W
1.4%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
-
the registrar has this letter grade only this term
The registrar's own records: 350 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 3.78 to 3.85.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 97 · 27.7%
- A 174 · 49.7%
- A- 45 · 12.9%
- B+ 12 · 3.4%
- B 9 · 2.6%
- B- 4 · 1.1%
- C 3 · 0.9%
- C- 1 · 0.3%
- D 1 · 0.3%
- F 4 · 1.1%
- I 5 of 355
Percentages are of the 350 letter grades. Grey bars are non-letter outcomes: 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 |
|---|---|---|---|---|---|---|---|
| PIMENTEL, HAROLD JOSEPH reviews ↗ | 3.82 | 3.82 | 350 | 3 | 90% | very light | not teaching it |
| ESKIN, ELEAZAR reviews ↗ | 3.80 | 3.80 | 203 | 2 | 89% | - | 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 5 courses long before COM SCI C121. Read from Fall 2026, because dibs has not read a class page for COM SCI C121 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 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.
From the registrar's catalog
(Formerly numbered CM121.) Lecture, four hours; discussion, two hours; outside study, six hours. Requisites: course 32 or Program in Computing 10C with grade of C- or better, and one course from Civil and Environmental Engineering 110, Electrical and Computer Engineering 131A, Mathematics 170A, Mathematics 170E, or Statistics 100A. Prior knowledge of biology is not required. Designed for engineering students as well as students from biological sciences and medical school. Introduction to probabilistic models in the context of genomics, with emphasis on concepts and inventing new computational and statistical techniques to analyze genomic data. Concurrently scheduled with course C221. Letter grading.
Sections in Summer Session C 2026
From the people who took it
Student reviews
What taking COM SCI C121 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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