Fall 2026

God & Money

Explores historical connections between capitalism and religion, examining religious roles in social inequality and capitalism critique.

offering recorded3 credits
Recorded instructors · Fall 2026 Adam Stern3.7/5

Summary

1 / 6

Weekly assignments determine most of the grade, and Stern is considered a tough grader. However, he provides final exam questions in advance, and the course is generally easy to score well in.

Grade history

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

Prerequisites

Course map

None

  • None
GERMAN/RELIGST/SOC 273

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

Prerequisite text tree
  • None

Professors

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

Raw average: 3.77/5 from 13 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.

For this course: 3.7/5 raw quality · 2.3/5 difficulty · 3 reviews

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

Adam Stern is knowledgeable and passionate, caring about students and making dense readings understandable. However, his lectures can be monotonous, particularly when reviewing previous content or weekly readings.

Grading is tough and based on weekly assignments and a cumulative final, though he provides exam questions in advance. One reviewer notes that while part of the grade involves creativity, it remains easy to score well.

Recent recorded grades — Fall 2024: 3.50 GPA, 77.3% A/AB (n=44 letter grades).

Historical instructors & teaching patterns

Historical reviews of Mary Hennessy : Mary Hennessy taught this course in Fall 2025. Reviewers describe her lectures as straightforward and easy to follow, with manageable readings. However, experiences diverge regarding assessment clarity, with some finding grading criteria clear while others found expectations unclear and frustrating.

ADAM STERN is recorded teaching in Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

MARY HENNESSY is recorded teaching in 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 001Classroom Instruction25 / 750
LEC 001Classroom Instruction12 / 750
LEC 001Classroom Instruction39 / 601

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

Adam Stern is knowledgeable and enthusiastic, though his lecture style can be monotonous when reviewing previous material. He is supportive and helps students understand dense readings.

Recent recorded grades — Fall 2013: 3.41 GPA, 75.4% A/AB (n=57 letter grades); Fall 2024: 3.50 GPA, 77.3% A/AB (n=44 letter grades); Fall 2025: 3.68 GPA, 84.3% A/AB (n=51 letter grades).

difficulty & workload

Weekly assignments determine most of the grade, and Stern is considered a tough grader. However, he provides final exam questions in advance, and the course is generally easy to score well in.

Students appreciate Stern's care for students and his ability to make dense readings understandable. The lecture structure, which includes a lengthy review of previous content, is noted as a potential downside.

Topics

  • Religious ideas and the rise of capitalism
  • Religious institutions and social inequalities
  • Classical social theories of religion and capitalism
  • Contemporary religious practice and capital accumulation
  • Globalization effects on non-Christian traditions

Skills

  • Critiquing capitalism through religious perspectives
  • Analyzing historical specificity of economic systems

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.

Selected offering source records
GERMAN/RELIGST/SOC 273 · Fall 2026

God & Money

Recorded 2026-09-07
GERMAN/RELIGST/SOC 273 · Fall 2026

God & Money

Recorded 2026-09-07
GERMAN/RELIGST/SOC 273 · Fall 2026

God & Money

Recorded 2026-09-07
Raw records
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Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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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
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