Spring 2027

The Environment and the Global Economy

Applies economic reasoning to global and regional environmental issues including climate change, biodiversity, fisheries, trade, poverty, and sustainability.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 8

Past student reviews · Bradford Barham

Students reported that the class was heavier on economics concepts than expected, with one noting it was tough without an econ background. Weekly problem sets and quizzes were standard, with lowest quizzes dropped.

What you’ll be able to do

  • Demonstrate knowledge of economic concepts to think critically about relationships between economic activity and global environmental challenges ranging from climate change to biodiversity loss.

  • Use appropriate tools to analyze how governmental policies affect the use and conservation of natural resources.

  • Explain the social, economic, and/or environmental dimensions of the sustainability challenges of balancing healthy global economies with environmental quality.

  • Analyze the causes of and solutions for the sustainability challenges of maintaining environmental quality and healthy economies.

Source: UW Guide 1 UW Guide 2

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

None

  • None
AAE/ENVIRST 244

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

Prerequisite text tree
  • None

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

BRADFORD BARHAM is recorded teaching in Spring 2017, Spring 2018, Spring 2019, Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

DOMINIC PARKER is recorded teaching in Spring 2015, Spring 2016. 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

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

Meeting source records
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Student experience

the class

Past student reviews · Dominic Parker

Students described the course as interesting and manageable, noting that instructors made lectures engaging and clearly outlined assessment expectations.

Recent recorded grades — Spring 2024: 3.51 GPA, 74.3% A/AB (n=70 letter grades); Spring 2025: 3.67 GPA, 83.3% A/AB (n=78 letter grades); Fall 2025: 3.43 GPA, 65.5% A/AB (n=87 letter grades).

difficulty & workload

Past student reviews · Bradford Barham

Students reported that the class was heavier on economics concepts than expected, with one noting it was tough without an econ background. Weekly problem sets and quizzes were standard, with lowest quizzes dropped.

Past student reviews · Dominic Parker

Students appreciated the assessment structure, which replaced midterms with weekly quizzes and a single final exam, reducing stress while keeping them on track.

Topics

  • Climate change, biodiversity preservation, ocean fisheries, environmental impacts of international trade, poverty and the environment, and sustainability.
  • Economic analysis of global and regional environmental issues.

Skills

  • Apply economic concepts to analyze relationships between economic activity and global environmental challenges.
  • Analyze how governmental policies affect the use and conservation of natural resources.
  • Identify causes and solutions for sustainability challenges balancing environmental quality and healthy economies.

Grades

Historical instructor

Spring 2027 · 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 4 recent 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.

6 earlier forecasts · 0.20 GPA average error.

Grades over time

Through Spring 2027

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

1316 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

No offering records for the selected term.

Raw records 
[]
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 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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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": "405592b1f6ca63407732cadd9922f700b45e1f9c8a3f5ec7a336fd0a3a2cdcaa",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}