Competing Through Analytics
Recorded 2026-09-07 Fall 2026
Competing Through Analytics
Introduction to business analytics, machine learning, and AI from a managerial perspective, focusing on data opportunities and competitive readiness.
Recorded instructors · Fall 2026 No instructors listed
Summary
Recent recorded grades — Fall 2025: 3.60 GPA, 75.0% A/AB (n=20 letter grades).
Grade history
↗ average GPA
letter grades
letter grades
A
AB
B
BC
C
D
F
All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing or declared in graduate Business Exchange program
- Graduate/professional standing
- declared in graduate Business Exchange program
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- Graduate/professional standing
- declared in graduate Business Exchange program
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
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 |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Recent recorded grades — Fall 2025: 3.60 GPA, 75.0% A/AB (n=20 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
Skills
Grades
Latest available · Fall 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
A
AB
B
BC
C
D
F
More grade details Grade mix, volume & source data
Not enough comparable courses for Fall 2026 in UW–Madison.
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
Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:238:026489",
"course_id": "OTM 703",
"course_uid": "course_d8f8b28267ba1b0ad7a6cc6a",
"term_id": "1272",
"source_course_id": "026489",
"source_subject_id": "238",
"title": "Competing Through Analytics",
"credits_min": 2,
"credits_max": 2,
"typically_offered": "Not Applicable"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
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": "e2613b45783e6b1f80cb62af2c09426df269a58c77d18972b62242343ae7271b",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}