COM SCI 260
Machine Learning Algorithms
Lecture and discussion. The registrar has published a final exam time.
Fall 2026: 2 lectures and 4 discussions. 1 lecture and 2 discussions are open. The oldest of these readings was about 1 month ago.
Grades
3.77
Average grade awarded in COM SCI 260. Not a student rating: this is what the grades were.
In the A range
81%
of the 165 letter grades
D, F or W
0.0%
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: 165 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 3.65 to 3.92.
Historical grades for GU, QUANQUAN, across recorded terms. The course summary above includes all professors.
- A+ 55 · 33.3%
- A 54 · 32.7%
- A- 24 · 14.5%
- B+ 16 · 9.7%
- B 8 · 4.8%
- B- 7 · 4.2%
- C+ 1 · 0.6%
Percentages are of the 165 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 |
|---|---|---|---|---|---|---|---|
| GU, QUANQUAN reviews ↗ | 3.77 | 3.77 | 165 | 2 | 81% | heavy | Open, 20 seats left |
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.
In Falls
Ran in 2 of the last 5 Falls, so it turns up in Fall sometimes rather than dependably. dibs has no record of it in any quarter since Fall 2022.
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, four hours; discussion, two hours; outside study, six hours. Recommended requisite: course 180. Problems of identifying patterns in data. Machine learning allows computers to learn potentially complex patterns from data and to make decisions based on these patterns. Introduction to fundamentals of this discipline to provide both conceptual grounding and practical experience with several learning algorithms. Techniques and examples used in areas such as healthcare, financial systems, commerce, and social networking. Letter grading.
Sections in Fall 2026
You enroll in the discussion, not the lecture, so a discussion's status is the one that decides whether you get in. A lecture can read open while every discussion under it is full.
Seat counts as of : the oldest of these 6 readings. Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
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Lec 1 MW 4:00pm-5:50pmWaitlist3.77predicted, this instructor · 165 grades
29 of 30 places taken. 120 of 120 enrolled high risk
2 discussions, none open. The way in is the lecture's waitlist, at 29 of 30.
This limit is on the class, so it applies to all 2 discussions below.
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Lec 91 MW 4:00pm-5:50pmOpen3.77predicted, this instructor · 165 grades
20 seats left. 15 of 35 enrolled high risk
2 discussions, all open.
This limit is on the class, so it applies to all 2 discussions below.
Final enrollment, averaged across each term's sections: between 76 and 89 a term over 2 terms, summer excluded, most recently 89 in Fall 2022. That is the shape across years, not this term, which is above.
From the people who took it
Student reviews
What taking COM SCI 260 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. This course runs 2 lectures; the legend under the chart picks one.
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 · Gu, Q. · 120 of 120 enrolled
Nothing read since 24 Aug, about 1 month ago. Over the 7 days before that, same seat count, but the waitlist went 26 of 30 to 29 of 30.
All 7 readings say 120 of 120.
Lec 91 · Gu, Q. · 15 of 35 enrolled
Nothing read since 24 Aug, about 1 month ago. Over the 7 days before that, filled by 1.
14 to 15 enrolled across 3 readings, +1.
How readings and alerts work
A reading and an hourly record are different things, and most charts here hold more of the second missing than present. dibs has taken readings of a section since long before it began keeping an hour-by-hour log of when it looked, so the empty stretches are dibs saying it was not keeping that log yet, not that it looked and found nothing. That is the age of the record and not a fault.
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.