Spring 2027

Applied Econometrics of Resource and Energy Demand

Applied Econometrics of Resource and Energy Demand covers estimation of economic models, demand systems, discrete choice models, forecasting, and big-data analytics for resource and energy sectors.

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

Summary

1 / 2

Recent recorded grades — Spring 2019: 3.57 GPA, 71.4% A/AB (n=28 letter grades); Spring 2020: 3.63 GPA, 78.3% A/AB (n=23 letter grades); Spring 2022: 3.45 GPA, 70.0% A/AB (n=10 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

A A E 636 and declared in Agricultural Applied Economics: Resource and Energy Demand Analysis

    • AAE 636
    • declared in Agricultural Applied Economics: Resource and Energy Demand Analysis
    take all
AAE 772 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
  • All of
    • AAE 636
    • declared in Agricultural Applied Economics: Resource and Energy Demand Analysis

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Spring 2019: 3.57 GPA, 71.4% A/AB (n=28 letter grades); Spring 2020: 3.63 GPA, 78.3% A/AB (n=23 letter grades); Spring 2022: 3.45 GPA, 70.0% A/AB (n=10 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Estimation of economic models of resource and energy demand
  • Evaluation of energy and resource programs
  • Demand systems and dynamic pricing models
  • Discrete choice model estimation
  • Forecasting resource and energy demand
  • Big-data analytics in resource and energy demand analysis

Skills

  • Estimating demand systems for dynamic pricing and discrete choice models
  • Forecasting resource and energy demand using econometric models
  • Evaluation of energy and resource programs
  • Application of big-data analytics in resource and energy demand analysis

Grades

Latest available · Spring 2022— 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 Spring 2022

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Grade history

Recorded grade distributions by term, section, and instructor.

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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.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "69d5eb7baf7b2069b248d45ecb649cc4c701c5516b91d84d338aba4aead566aa",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}