Introduction to Quantitative Methods in Resource and Energy Economics

Introduces mathematical and statistical methods for quantitative analysis in resource and energy economics.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 3

Historical reviews of Brian Gould: Lectures and assignments are difficult to follow due to instructor mistakes, making the material hard to comprehend.

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Prerequisites

Course map

Declared in the Resource and Energy Demand Analysis program

  • Declared in the Resource and Energy Demand Analysis program
AAE 770

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  • Declared in the Resource and Energy Demand Analysis program

Professors

Fall 2026

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Historical instructors & teaching patterns

Historical reviews of Brian Gould: Brian Gould is described as disorganized and prone to making mistakes during lectures and homework creation, making the course difficult to follow. Reviewers note he does not hold himself to the same standards as students.

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Calendar & sections

Fall 2026

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Student experience

the class

Historical reviews of Brian Gould: Brian Gould's AAE 770 course is described as disorganized and difficult to follow, with significant errors in lectures and assignments.

difficulty & workload

Historical reviews of Brian Gould: Lectures and assignments are difficult to follow due to instructor mistakes, making the material hard to comprehend.

Historical reviews of Brian Gould: A 2017 reviewer found the course frustrating because the instructor did not hold himself to the same standards as students.

Topics

  • Optimization and welfare theory
  • Linear and matrix algebra in modeling
  • Probability theory and statistical inference

Skills

  • Applying optimization to welfare and consumer demand theory
  • Using linear and matrix algebra for modeling and statistical analysis
  • Performing statistical analysis and inference for econometric models

Grades

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Sources & history

UW–Madison

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "98cbc8d4b55a58a34400e8fe6b345a2cfb1d92a4ee8e39303ffdaaf89d3ae59f",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}