# AAE 770: Introduction to Quantitative Methods in Resource and Energy Economics | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/AAE_770)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

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### observed at

2026-09-07T15:55:43.033547+00:00

### built at

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### courses

8951

### current instructors

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### limited

false

### terms

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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
| CURRIC    | 193   |
| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
| GENBUS    | 72    |
| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
| LIS       | 89    |
| LITTRANS  | 78    |
| LSC       | 52    |
| M\&ENVTOX | 7     |
| MARKETNG  | 62    |
| MATH      | 153   |
| MDGENET   | 8     |
| ME        | 130   |
| MEDHIST   | 43    |
| MEDICINE  | 60    |
| MEDIEVAL  | 32    |
| MEDPHYS   | 39    |
| MEDSC-M   | 29    |
| MEDSC-V   | 41    |
| MHR       | 68    |
| MICROBIO  | 45    |
| MILSCI    | 16    |
| MM\&I     | 22    |
| MOLBIOL   | 6     |
| MS\&E     | 59    |
| MUSIC     | 165   |
| MUSPERF   | 126   |
| NAVSCI    | 20    |
| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
| PHYASST   | 37    |
| PHYSICS   | 88    |
| PHYSIOL   | 3     |
| PHYTHER   | 37    |
| PLANTSCI  | 52    |
| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
| SOILSCI   | 46    |
| SPANISH   | 83    |
| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

69378911a7c6082cbbc5343be76a5cb00d8f1351205410f42cda0857c042fa57

### course id

AAE 770

### course uid

course\_48ccfb268bcb4a551f611962

### catalog version id

3f5ab5fce10c41ba3eb1c8864f3357734967c9673d86a43775b85ee89d0e61b3

### course number

770

### subjects

* AAE

### title

INTRODUCTION TO QUANTITATIVE METHODS IN RESOURCE AND ENERGY ECONOMICS

### description

The fundamental mathematics and statistics necessary for the study of quantitative methods in resource and energy demand. Topics include the mathematics of optimization and its role in basic welfare theory and consumer demand; linear and matrix algebra and their application in both modeling consumer behavior and the statistical analysis of models; and the fundamentals of statistical analysis relevant to econometric analysis of resource and energy demand, including probability theory, sampling distributions, and statistical inference.

### requirements text

Declared in the Resource and Energy Demand Analysis program

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

98cbc8d4b55a58a34400e8fe6b345a2cfb1d92a4ee8e39303ffdaaf89d3ae59f

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

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

### llm topics

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

### llm 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

### llm assumed background

None recorded.

### llm search phrases

* quantitative methods resource energy demand
* optimization welfare theory consumer demand
* linear algebra econometric analysis
* statistical inference resource economics

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

8631910e964029e3c056bc68ea109f5169cd3a2b4129af84aaab9b4e35dbead5

#### course id

AAE 770

#### current instructors

None recorded.

#### difficulty workload

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

```json
{
  "citations": [
    {
      "instructor_name": "Brian Gould",
      "review_date": "2017-08-23 11:59:06 +0000 UTC",
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      "source_url": "https://www.ratemyprofessors.com/professor/1544488",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

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.

```json
{
  "citations": [
    {
      "instructor_name": "Brian Gould",
      "review_date": "2017-08-23 11:59:06 +0000 UTC",
      "review_id": "54093a5bac896bae9408141d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1544488",
      "source_review_id": "UmF0aW5nLTI4NjM1NDUw",
      "source_url": "https://www.ratemyprofessors.com/professor/1544488",
      "type": "review"
    }
  ]
}
```

#### offered

false

#### profile hash

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#### quick take

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.

```json
{
  "citations": [
    {
      "instructor_name": "Brian Gould",
      "review_date": "2017-08-23 11:59:06 +0000 UTC",
      "review_id": "54093a5bac896bae9408141d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1544488",
      "source_review_id": "UmF0aW5nLTI4NjM1NDUw",
      "source_url": "https://www.ratemyprofessors.com/professor/1544488",
      "type": "review"
    }
  ]
}
```

#### student experience

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.

```json
{
  "citations": [
    {
      "instructor_name": "Brian Gould",
      "review_date": "2017-08-23 11:59:06 +0000 UTC",
      "review_id": "54093a5bac896bae9408141d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1544488",
      "source_review_id": "UmF0aW5nLTI4NjM1NDUw",
      "source_url": "https://www.ratemyprofessors.com/professor/1544488",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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    "condition": "Declared in the Resource and Energy Demand Analysis program",
    "course": null,
    "evidence": "Declared in the Resource and Energy Demand Analysis program",
    "id": "n0",
    "kind": "condition"
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]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

None recorded.

### grades

None recorded.

### statistics

#### graded

0

#### counts

* 0
* 0
* 0
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_48ccfb268bcb4a551f611962-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_48ccfb268bcb4a551f611962-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_48ccfb268bcb4a551f611962-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_48ccfb268bcb4a551f611962-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_48ccfb268bcb4a551f611962-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_48ccfb268bcb4a551f611962-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_48ccfb268bcb4a551f611962-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_48ccfb268bcb4a551f611962-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## instructor Trends

None recorded.

## following

None recorded.
