Spring 2027

Current Topics in Business Analytics and Artificial Intelligence

Current Topics in Business Analytics and Artificial Intelligence covers emerging industry topics via applied learning experiences including case studies, industry meetings, and workshops.

offering recorded1 credits
Recorded instructors · Spring 2027 Cody Baldwin

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.97 GPA, 99.1% A/AB (n=108 letter grades); Spring 2025: 3.88 GPA, 92.4% A/AB (n=92 letter grades); Spring 2026: 3.80 GPA, 90.2% A/AB (n=61 letter grades).

What you’ll be able to do

  • Explore how organizations utilize analytics and artificial intelligence through interactions with industry professionals

  • Articulate insights from interactions with industry professionals

  • Articulate business recommendations based on in-class activities and analysis

  • Demonstrate professional written and verbal communication skills

  • Articulate current career aspirations

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
GENBUS 840

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.97 GPA, 99.1% A/AB (n=108 letter grades); Spring 2025: 3.88 GPA, 92.4% A/AB (n=92 letter grades); Spring 2026: 3.80 GPA, 90.2% A/AB (n=61 letter grades).

Historical instructors & teaching patterns

CODY BALDWIN is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 010Classroom Instruction0 / 500

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
Download part 1

Student experience

the class

Recent recorded grades — Spring 2024: 3.97 GPA, 99.1% A/AB (n=108 letter grades); Spring 2025: 3.88 GPA, 92.4% A/AB (n=92 letter grades); Spring 2026: 3.80 GPA, 90.2% A/AB (n=61 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Business analytics and artificial intelligence.
  • Emerging and current industry topics explored through applied learning experiences such as case studies, industry meetings, and workshops.
  • How organizations utilize analytics and artificial intelligence.
  • Developing business recommendations based on in-class activities and analysis.

Skills

  • Exploring organizational utilization of analytics and artificial intelligence through interactions with industry professionals.
  • Articulating insights gained from interactions with industry professionals.
  • Formulating and articulating business recommendations based on in-class activities and analysis.
  • Demonstrating professional written and verbal communication skills.
  • Articulating current career aspirations.

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

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

1280 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.

Download part 1
Selected offering source records
GENBUS 840 · Spring 2027

Current Topics in Business Analytics and Artificial Intelligence

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:231:025372",
    "course_id": "GENBUS 840",
    "course_uid": "course_61e73168989ab8c04b59eb28",
    "term_id": "1274",
    "source_course_id": "025372",
    "source_subject_id": "231",
    "title": "Current Topics in Business Analytics and Artificial Intelligence",
    "credits_min": 1,
    "credits_max": 1,
    "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 grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "05a993d01bac52f61b382973471fbcca640f06d41dae6cbeebbe2c2190e0e64d",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}