STATS 425
Large Language Models in Text Mining
Lecture and discussion. The registrar has published a final exam time.
Fall 2026: 1 lecture and 1 discussion. All of them are open. The oldest of these readings was 4 hours ago.
Grades
3.82
Average grade awarded in STATS 425. Not a student rating: this is what the grades were.
In the A range
91%
of the 56 letter grades
D, F or W
1.8%
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: 56 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 3.67 to 3.98.
Historical grades for DAI, XIAOWU, across recorded terms. The course summary above includes all professors.
No grade history is available for this professor in this course.
By instructor
| Instructor | Predicted GPA | Raw | n | Terms | A range | Workload | Fall 2026 |
|---|---|---|---|---|---|---|---|
| ALMOHALWAS, AKRAM M reviews ↗ | 3.81 | 3.82 | 56 | 3 | 91% | - | 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.
In Falls
Has not run in Fall in the 4 Falls dibs holds records for, back to Winter 2022. That is 4 years of grade records rather than the course catalog, so it says what has happened and not what the department will do next.
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. Limited to Master of Applied Statistics and Data Science students. In-depth exploration of large language models (LLMs) and their applications in text mining. Students learn underlying architectures, techniques for fine-tuning and deploying these models, and how to leverage them for various text mining tasks. Through hands-on projects, students apply theoretical concepts to real-world datasets, enhancing their practical skills in the field. 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 2 readings. Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
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Lec 80 M 6:00pm-8:50pmOpen3.77predicted, all instructors · 56 grades
59 seats left. 40 of 100 enrolled low risk
1 discussion, all open.
This limit is on the class, so it applies to the discussion below.
Every discussion, with its time and seats (1)
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Dis 80A
M 5:00pm-5:50pm · Physics and Astronomy Building 1749
Open59 seats left.
41 of 100 enrolled
-
Final enrollment, averaged across each term's sections: between 16 and 23 a term over 3 terms, summer excluded, most recently 17 in Spring 2025. That is the shape across years, not this term, which is above.
From the people who took it
Student reviews
What taking STATS 425 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 80 · Dai, X. · 40 of 100 enrolled
Filled by 15 over about 1 month
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.