Recent recorded grades — Fall 2024: 3.84 GPA, 93.5% A/AB (n=77 letter grades); Fall 2025: 3.77 GPA, 91.4% A/AB (n=35 letter grades). Includes jointly taught sections.
Fall 2026
Introduction to Text Mining
LIS 501 introduces computational methods for processing and analyzing text data, covering preparation, analytics, and NLP applications.
Recorded instructors · Fall 2026 Devansh Saxena
Summary
1 / 6
Historical reviews of Aaron Enright: The workload consists of four major homeworks with flexible programming or essay options, but reviewers report a lack of grading feedback and unclear evaluation criteria.
Grade history
↗ average GPA
letter grades
letter grades
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All recorded terms · compare terms & instructors
Prerequisites
Course mapJunior standing and satisfied Quantitative Reasoning (QR) A, or graduate/professional standing
- Junior standing
- satisfied Quantitative Reasoning (QR) A
- graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Junior standing
- satisfied Quantitative Reasoning (QR) A
- graduate/professional standing
- All of
Professors
Fall 2026Historical instructors & teaching patterns
Historical reviews of Aaron Enright: Aaron Enright taught LIS 501 in Fall 2023 and Spring 2024. Reviewers disagree on his engagement, with one finding him funny and well-organized, while another called him boring and unhelpful. Both noted the course was easy with no exams, but criticized the lack of grading feedback on homework.
AARON ENRIGHT is recorded teaching in Fall 2023, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.
DEVANSH SAXENA is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 59 / 70 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Historical reviews of Aaron Enright: Aaron Enright's LIS 501 reviews are polarized, with students describing him as either funny and well-organized or boring and unhelpful, while noting the course is easy with minimal exams.
Recent recorded grades — Spring 2025: 2.89 GPA, 51.9% A/AB (n=27 letter grades); Fall 2025: 3.77 GPA, 91.4% A/AB (n=35 letter grades); Spring 2026: 3.74 GPA, 86.1% A/AB (n=36 letter grades).
difficulty & workload
Historical reviews of Aaron Enright: The workload consists of four major homeworks with flexible programming or essay options, but reviewers report a lack of grading feedback and unclear evaluation criteria.
Historical reviews of Aaron Enright: Students disagree on Enright's engagement, citing either effective humor and organization or boredom and poor responsiveness, alongside frustration over missing slides and attendance quizzes.
Topics
Skills
Grades
Latest available · Spring 2026— not enough history to project Fall 2026.
Grade distribution · % of letter grades
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AB
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Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2026 · all course levels
GPA
Higher than % of other courses in this group.
Course GPAs · red marks this course’s range
letter grades
More recorded grades than % of other courses in this group.
Typical course in this group: letter grades.
About this comparison
1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.
Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.
Sources & history
UW–Madison
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Introduction to Text Mining
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:544:026056",
"course_id": "LIS 501",
"course_uid": "course_f34e4c11ca636626801b25ae",
"term_id": "1272",
"source_course_id": "026056",
"source_subject_id": "544",
"title": "Introduction to Text Mining",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "15f4f4f74103a02271fee6c7e6412a2542a10ce5a98d501f8498a97ef7debc25",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}