Fall 2026

Experiments and Causal Methods for Business Insights

Introduction to experimental and causal methods for driving business insights, covering randomized experiments and natural experiments.

offering recorded2–3 credits
Recorded instructors · Fall 2026 Leandro Carvalho

Summary

1 / 3

Recent recorded grades — Fall 2024: 3.55 GPA, 78.1% A/AB (n=196 letter grades); Spring 2025: 3.63 GPA, 73.3% A/AB (n=15 letter grades); Fall 2025: 3.68 GPA, 87.1% A/AB (n=171 letter grades).

Grade history

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average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

(GEN BUS 704 or 705) and (GEN BUS 720 or concurrent enrollment); or GEN BUS 881

  • (GEN BUS 704 or 705) and (GEN BUS 720 or concurrent enrollment); or GEN BUS 881
GENBUS 740

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

Prerequisite text tree
  • (GEN BUS 704 or 705) and (GEN BUS 720 or concurrent enrollment); or GEN BUS 881

Professors

Fall 2026
Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 010Classroom Instruction18 / 300
LEC 011Classroom Instruction29 / 350

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

Meeting source records
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Student experience

the class

Recent recorded grades — Fall 2024: 3.55 GPA, 78.1% A/AB (n=196 letter grades); Spring 2025: 3.63 GPA, 73.3% A/AB (n=15 letter grades); Fall 2025: 3.68 GPA, 87.1% A/AB (n=171 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Correlation vs. causation
  • Randomized-controlled experiments
  • Natural experiments in business data

Skills

  • Design and analysis of randomized-controlled experiments
  • Identification of natural experiments and empirical strategies
  • Distinguishing correlation from causation

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1320 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 740 · Fall 2026

Experiments and Causal Methods for Business Insights

Recorded 2026-09-07
Raw records 
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:231:025322",
    "course_id": "GENBUS 740",
    "course_uid": "course_2cc57583acad3d953a5d003c",
    "term_id": "1272",
    "source_course_id": "025322",
    "source_subject_id": "231",
    "title": "Experiments and Causal Methods for Business Insights",
    "credits_min": 2,
    "credits_max": 3,
    "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 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "96a892e8858c989d64121155c08fe83ff75375c37fec4ce4479d5863f8fe75c9",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}