Fall 2026

The Consumer and the Market

Analyzes consumer markets, behavior, and government policy impacts within the American economy.

offering recorded3 credits
Recorded instructors · Fall 2026 Saksham SinghSangyu Qian

Summary

1 / 6

Historical reviews of Lydia Ashton: Reviewers describe the workload as heavy, with exams that are too long to finish in time and numerous small assignments.

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

ECON 101, 111, or graduate/professional standing

CNSRSCI 477 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

Recent recorded grades — Fall 2022: 3.21 GPA, 57.8% A/AB (n=83 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

Anya Samak reads from slides and offers random participation tasks, while Fei Men is described as a great teacher. These historical reviews suggest varied experiences with past instructors.

ANYA SAMAK is recorded teaching in Fall 2012, Spring 2013, Fall 2013, Spring 2014. Recorded history may be incomplete and does not establish a future schedule.

FEI MEN is recorded teaching in Spring 2016. Recorded history may be incomplete and does not establish a future schedule.

LYDIA ASHTON is recorded teaching in Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

SAKSHAM SINGH is recorded teaching in Fall 2022. 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 002Online Only58 / 600

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

Reviewers describe historical instructor Lydia Ashton as confusing and inflexible, while earlier instructors Anya Samak and Fei Men received positive feedback for their teaching.

Recent recorded grades — Spring 2025: 3.06 GPA, 47.1% A/AB (n=87 letter grades); Fall 2025: 3.18 GPA, 46.4% A/AB (n=97 letter grades); Spring 2026: 3.18 GPA, 44.8% A/AB (n=87 letter grades).

difficulty & workload

Historical reviews of Lydia Ashton: Reviewers describe the workload as heavy, with exams that are too long to finish in time and numerous small assignments.

Historical reviews of Lydia Ashton: Students found lectures fast-paced and unclear, requiring significant independent study or TA support. Communication issues, such as unresponsive emails and outdated syllabi, further frustrated learners.

Topics

  • Consumer markets and behavior
  • Government policy impacts on consumers

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 · 0.16 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.

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Selected offering source records
CNSRSCI 477 · Fall 2026

The Consumer and the Market

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": "1272:271:004639",
    "course_id": "CNSRSCI 477",
    "course_uid": "course_9baa906d03690f429f2f980e",
    "term_id": "1272",
    "source_course_id": "004639",
    "source_subject_id": "271",
    "title": "The Consumer and the Market",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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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": "c7dca7e9838312e52c2639b3c62bc0099720b614b6b08b19a968b36f55755019",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}