CHEM C125
Machine Learning and Applications in Chemistry
Grades
3.80
Average grade awarded in CHEM C125. Not a student rating: this is what the grades were.
In the A range
90%
of the 30 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: 30 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 3.77 to 3.84.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 22 · 73.3%
- A 4 · 13.3%
- A- 1 · 3.3%
- C+ 1 · 3.3%
- C 2 · 6.7%
- I 1 of 31
Percentages are of the 30 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 | Spring 2027 |
|---|---|---|---|---|---|---|---|
| BOUCHARD, LOUIS-SERGE reviews ↗ | 3.76 | 3.80 | 30 | 2 | 90% | - | 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 CHEM C125 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.
From the registrar's catalog
(Formerly numbered 125.) Lecture, three hours; computer laboratory, one hour. Requisite: course 14C or 30A, with grade of C- or better. Comprehensive introduction to machine learning (ML) algorithms and their applications in the field of chemistry and biochemistry. Study is designed to provide students with both the theoretical understanding of ML algorithms and the practical skills needed to apply these techniques to solve real-world problems in chemistry. Through lectures, hands-on laboratories, and project work, students learn to analyze chemical datasets, predict chemical properties, and develop models for chemical behavior using ML. Concurrently scheduled with course C225. P/NP or letter grading.
Sections in Spring 2027
From the people who took it
Student reviews
What taking CHEM C125 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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