Fall 2026

Marketing Research

MARKETING RESEARCH teaches systematic and objective search and analysis of information to identify and solve marketing problems.

offering recorded3 credits

Summary

1 / 6

The course involves a significant amount of work centered on a group project, requiring careful selection of group members.

Grade history

average GPA
letter grades
A
AB
B
BC
C
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

MARKETNG 300 and (GEN BUS 206 or 306), or declared in the Business Exchange program

MARKETNG 310 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 1.00/5 from 2 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Fall 2025: 3.34 GPA, 54.3% A/AB (n=35 letter grades).

Alyssa Gosbee Stang is criticized for boring lectures and incomprehensible grading. Reviewers report that exams cover material not taught in class, requiring self-study from slide decks.

One review describes the class as fine but notes lectures are irrelevant to assignments. The course involves a significant group project workload, though the instructor's quality rating remains low.

Recent recorded grades — Fall 2024: 3.78 GPA, 95.7% A/AB (n=46 letter grades); Fall 2025: 3.86 GPA, 95.3% A/AB (n=43 letter grades).

Historical instructors & teaching patterns

ISHITA CHAKRABORTY is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

MARY KATHRYN MALONE 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 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 002Classroom Instruction48 / 483
LEC 001Online (some classroom)48 / 480
LEC 003Classroom Instruction32 / 480

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

Alyssa Stang receives poor reviews for boring lectures and incomprehensible grading, with students feeling they must self-teach from slide decks.

Recent recorded grades — Spring 2025: 3.38 GPA, 57.7% A/AB (n=104 letter grades); Fall 2025: 3.49 GPA, 67.7% A/AB (n=155 letter grades); Spring 2026: 3.39 GPA, 60.7% A/AB (n=112 letter grades).

difficulty & workload

The course involves a significant amount of work centered on a group project, requiring careful selection of group members.

Students find lectures irrelevant to exams and assignments, with vague project instructions and limited instructor support for questions.

Topics

  • Information search and analysis for marketing problems

Skills

  • Systematic information search and analysis for marketing problem solving.

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.04 GPA average error.

Grades over time

Through Fall 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
MARKETNG 310 · Fall 2026

Marketing Research

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": "1272:237:003163",
    "course_id": "MARKETNG 310",
    "course_uid": "course_166b97080a270c6a634da53f",
    "term_id": "1272",
    "source_course_id": "003163",
    "source_subject_id": "237",
    "title": "Marketing Research",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
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 grades
Model 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": "6847e90da42c72250ba278db94aa3c3e7b0598d47ca8d727925bdea44549cd9c",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}