Spring 2027

Global Health: Economics, Natural Systems, and Policy

Explores global health through economic paradigms, examining how human-natural system interactions and resource scarcity drive health outcomes and policy decisions.

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

Summary

1 / 8

Past student reviews · Daniel Phaneuf

The course involved heavy reading loads and frequent pop quizzes for attendance, which had no drops or makeups. Some students found the multiple-choice questions difficult to decipher and the Excel components frustrating.

What you’ll be able to do

  • Discuss the multitude of mechanisms through which human interactions with natural systems condition health and well-being outcomes in both developing and developed country contexts.

  • Use positive (descriptive) economic reasoning to identify how individual and community decisions made in the face of income, political, policy, cultural, and environmental constraints lead to differential health and well-being outcomes.

  • Use normative (prescriptive) economic reasoning to evaluate the efficacy of social, health, and environmental policies affecting human well-being.

  • Demonstrate basic knowledge in challenge areas such air and water pollution, climate change and fisheries depletion.

Source: UW Guide

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

Satisfied Quantitative Reasoning (QR) A

  • Satisfied Quantitative Reasoning (QR) A
AAE 352

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

Prerequisite text tree
  • Satisfied Quantitative Reasoning (QR) A

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

DANIEL PHANEUF is recorded teaching in Fall 2020, Fall 2021, Fall 2022, Fall 2023, 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

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
Download part 1

Student experience

the class

Past student reviews · Daniel Phaneuf

Students found Dr. Phaneuf accessible and respectful, with lectures that were manageable if they attended and reviewed materials. Opinions varied on the course design, with some describing it as fair and others as poorly structured.

Recent recorded grades — Fall 2023: 3.20 GPA, 58.0% A/AB (n=81 letter grades); Fall 2024: 3.24 GPA, 58.4% A/AB (n=89 letter grades); Fall 2025: 3.26 GPA, 59.3% A/AB (n=81 letter grades).

difficulty & workload

Past student reviews · Daniel Phaneuf

The course involved heavy reading loads and frequent pop quizzes for attendance, which had no drops or makeups. Some students found the multiple-choice questions difficult to decipher and the Excel components frustrating.

Past student reviews · Daniel Phaneuf

Many students appreciated the instructor's kindness and accessibility during office hours. While some found the lectures dry, others noted that doing pre-class reading made the sessions smoother and easier to follow.

Topics

  • Human-natural system interactions
  • Resource scarcity and environmental threats
  • Air/water pollution, climate change, and fisheries depletion
  • Health and environmental policy evaluation

Skills

  • Positive economic reasoning for analyzing health outcomes
  • Normative economic reasoning for policy evaluation
  • Discussing mechanisms linking human-natural system interactions to health

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

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

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.

Download part 1
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
Download part 1
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
Download part 1
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": "c23a4b4d40603ef19eaa2fac2d6ec678f0d633614ef8f673f6daa2de9c17e880",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}