# AAE 636: Applied Econometric Analysis I | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/AAE_636)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

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

### built at

2026-09-10T19:50:42.743001+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
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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    |
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| 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    |
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| 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

817ac5088e9cd641bcab0192b38ddf7a48b6aceda7a16395e2175d4a59b35c26

### course id

AAE 636

### course uid

course\_4f1efcdd8769d4b3432cd23a

### catalog version id

901eb295b5db3a9bbdb8dca7b7ee89a9785297da0c3c2c811bbe1509fb3f78b2

### course number

636

### subjects

* AAE

### title

APPLIED ECONOMETRIC ANALYSIS I

### description

Introduction to the standard linear regression model with an emphasis on application issues. Includes statistical foundation, hypothesis testing, functional form, model selection and procedures for handling violations of model assumption.

### requirements text

Graduate/professional standing

### credits min

3

### credits max

3

### credit offering ids

* 1272:108:000384

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

04fddcee1a185d60dc353e3a57d3d56226e42cccc37f9f596f64094065e50161

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

APPLIED ECONOMETRIC ANALYSIS I introduces the standard linear regression model with an emphasis on application issues.

### llm topics

* Statistical foundation
* Functional form specification
* Model selection procedures
* Handling violations of model assumptions

### llm skills

* Applying the standard linear regression model
* Performing statistical hypothesis testing
* Conducting model selection and handling assumption violations

### llm assumed background

None recorded.

### llm search phrases

* linear regression model
* hypothesis testing
* model selection
* statistical foundation
* applied econometrics

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

bcfbcbdff32e3d05397e975a64fc16851e7fd6ba1de510c106fc05aadc5ec090

#### course id

AAE 636

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_583c2c4590bd069da7becb54",
    "message": "No course-specific reviews available",
    "name": "Jeffrey Hadachek",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": [
      {
        "citations": [
          {
            "course_id": "AAE 636",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
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              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Fall 2025: 3.68 GPA, 92.9% A/AB (n=14 letter grades)."
      }
    ]
  }
]
```

#### difficulty workload

Historical reviews of Daniel Phaneuf: Workload appears manageable, with success linked to doing review questions, rated as low difficulty.

```json
{
  "citations": [
    {
      "instructor_name": "Daniel Phaneuf",
      "review_date": "2019-02-01 03:09:14 +0000 UTC",
      "review_id": "8f472170a5c13a500bd82556",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1798252",
      "source_review_id": "UmF0aW5nLTMxMzI2MzA2",
      "source_url": "https://www.ratemyprofessors.com/professor/1798252",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews for Daniel Phaneuf describe him as nice, gentle, and clear in lectures, aiming to make material easy to understand. He is associated with high quality ratings and advice to complete review questions for success.

```json
{
  "citations": [
    {
      "instructor_name": "Daniel Phaneuf",
      "review_date": "2019-02-01 03:09:14 +0000 UTC",
      "review_id": "8f472170a5c13a500bd82556",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1798252",
      "source_review_id": "UmF0aW5nLTMxMzI2MzA2",
      "source_url": "https://www.ratemyprofessors.com/professor/1798252",
      "type": "review"
    }
  ]
}
```

#### offered

true

#### profile hash

672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90

#### quick take

Historical reviews for Daniel Phaneuf describe a clear, gentle instructor who makes material easy to understand, with an A achievable by completing review questions.

```json
{
  "citations": [
    {
      "instructor_name": "Daniel Phaneuf",
      "review_date": "2019-02-01 03:09:14 +0000 UTC",
      "review_id": "8f472170a5c13a500bd82556",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1798252",
      "source_review_id": "UmF0aW5nLTMxMzI2MzA2",
      "source_url": "https://www.ratemyprofessors.com/professor/1798252",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Fall 2023: 3.48 GPA, 60.0% A/AB (n=25 letter grades); Fall 2024: 3.55 GPA, 78.1% A/AB (n=32 letter grades); Fall 2025: 3.68 GPA, 92.9% A/AB (n=14 letter grades).

```json
{
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      },
      "table": "grades_latest",
      "term_id": "1262",
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    }
  ]
}
```

#### student experience

Students found lectures clear and the instructor nice, though this reflects historical experience under Daniel Phaneuf, not current instructor Jeffrey Hadachek.

```json
{
  "citations": [
    {
      "instructor_name": "Daniel Phaneuf",
      "review_date": "2019-02-01 03:09:14 +0000 UTC",
      "review_id": "8f472170a5c13a500bd82556",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1798252",
      "source_review_id": "UmF0aW5nLTMxMzI2MzA2",
      "source_url": "https://www.ratemyprofessors.com/professor/1798252",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

DANIEL PHANEUF is recorded teaching in Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2022. Recorded history may be incomplete and does not establish a future schedule.

```json
{
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      "course_id": "AAE 636",
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      },
      "table": "section_grades_latest",
      "term_id": "1162",
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    },
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      "section_number": 1,
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      "term_id": "1172",
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      "section_number": 1,
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1182",
      "type": "grade"
    },
    {
      "course_id": "AAE 636",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
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      "source_record": {
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      },
      "table": "section_grades_latest",
      "term_id": "1192",
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    {
      "course_id": "AAE 636",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
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      },
      "table": "section_grades_latest",
      "term_id": "1232",
      "type": "grade"
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  ]
}
```

JEFFREY HADACHEK is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "AAE 636",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "98725645-f6e4-39aa-b799-c90bc9df0341",
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1262",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "Graduate/professional standing",
    "course": null,
    "evidence": "Graduate/professional standing",
    "id": "n0",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name             | email              | first\_observed\_at              | last\_observed\_at               | instructor\_url                |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------------- | ------------------ | -------------------------------- | -------------------------------- | ------------------------------ |
| instructor\_313d4f86f46fcd67b0860e75 | enrollment | liutin                 | netid           | source\_identified | Anton Liutin     | LIUTIN\@WISC.EDU   | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ANTON\_LIUTIN     |
| instructor\_583c2c4590bd069da7becb54 | enrollment | hadachek               | netid           | source\_identified | Jeffrey Hadachek | HADACHEK\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/JEFFREY\_HADACHEK |

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:108:000384",
    "course_id": "AAE 636",
    "course_uid": "course_4f1efcdd8769d4b3432cd23a",
    "term_id": "1272",
    "source_course_id": "000384",
    "source_subject_id": "108",
    "title": "Applied Econometric Analysis I",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:10403",
    "term_id": "1272",
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    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 50,
    "enrolled": 43,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
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    "identity_basis": "class_number",
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    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 50,
    "enrolled": 43,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  }
]
```

### grade instructors

```json
[
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    "source": "madgrades",
    "source_instructor_id": "3374884",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "KYLE STIEGERT",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 11,
      "quality": 3.09,
      "difficulty": 3.36,
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### grades

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    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 32,
    "source_aliases": [
      "AAE 636"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "AAE 636",
    "course_uid": "course_4f1efcdd8769d4b3432cd23a",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "SARAH JOHNSTON"
    ],
    "a": 11,
    "ab": 4,
    "b": 8,
    "bc": 2,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 26,
    "source_aliases": [
      "AAE 636"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "AAE 636",
    "course_uid": "course_4f1efcdd8769d4b3432cd23a",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "SARAH JOHNSTON"
    ],
    "a": 17,
    "ab": 8,
    "b": 5,
    "bc": 1,
    "c": 0,
    "d": 0,
    "f": 1,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 33,
    "source_aliases": [
      "AAE 636"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "AAE 636",
    "course_uid": "course_4f1efcdd8769d4b3432cd23a",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Jeffrey Hadachek"
    ],
    "a": 6,
    "ab": 7,
    "b": 1,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 14,
    "source_aliases": [
      "AAE 636"
    ]
  }
]
```

### statistics

#### gpa

3.54

#### graded

500

#### counts

* 246
* 121
* 100
* 21
* 2
* 6
* 4

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4f1efcdd8769d4b3432cd23a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4f1efcdd8769d4b3432cd23a-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4f1efcdd8769d4b3432cd23a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4f1efcdd8769d4b3432cd23a-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_4f1efcdd8769d4b3432cd23a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_4f1efcdd8769d4b3432cd23a-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_4f1efcdd8769d4b3432cd23a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_4f1efcdd8769d4b3432cd23a-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4f1efcdd8769d4b3432cd23a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4f1efcdd8769d4b3432cd23a-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.54

#### count

500

#### university

##### size

4146

##### gpa Percentile

31

##### count Percentile

74

##### median Count

193

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 10    | false   |
| 2.8–3.2 | 326   | false   |
| 3.2–3.6 | 1185  | true    |
| 3.6–4.0 | 2625  | false   |

#### departments

```json
[
  {
    "subject": "AAE",
    "comparison": {
      "size": 43,
      "gpaPercentile": 57,
      "countPercentile": 86,
      "medianCount": 142,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 18,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1072

##### term

1072

##### gpa

3.522727272727273

##### count

22

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1082

##### term

1082

##### gpa

3.576923076923077

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1092

##### term

1092

##### gpa

3.45

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1102

##### term

1102

##### gpa

3.652173913043478

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1112

##### term

1112

##### gpa

3.5869565217391304

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1122

##### term

1122

##### gpa

3.5454545454545454

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1132

##### term

1132

##### gpa

3.8181818181818183

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1142

##### term

1142

##### gpa

3.4166666666666665

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1152

##### term

1152

##### gpa

3.4545454545454546

##### count

22

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1162

##### term

1162

##### gpa

3.4

##### count

35

##### university

###### size

954

###### gpa Percentile

46

###### count Percentile

10

###### median Count

64.5

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 23    | false   |
| 2.8–3.2 | 234   | false   |
| 3.2–3.6 | 350   | true    |
| 3.6–4.0 | 345   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1172

##### term

1172

##### gpa

3.6607142857142856

##### count

28

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1182

##### term

1182

##### gpa

3.081081081081081

##### count

37

##### university

###### size

1025

###### gpa Percentile

17

###### count Percentile

12

###### median Count

69

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 21    | false   |
| 2.8–3.2 | 216   | true    |
| 3.2–3.6 | 369   | false   |
| 3.6–4.0 | 418   | false   |

##### departments

```json
[
  {
    "subject": "AAE",
    "comparison": {
      "size": 11,
      "gpaPercentile": 50,
      "countPercentile": 20,
      "medianCount": 60,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 5,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 2,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1192

##### term

1192

##### gpa

3.641304347826087

##### count

46

##### university

###### size

1077

###### gpa Percentile

61

###### count Percentile

29

###### median Count

67

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 22    | false   |
| 2.8–3.2 | 203   | false   |
| 3.2–3.6 | 370   | false   |
| 3.6–4.0 | 481   | true    |

##### departments

```json
[
  {
    "subject": "AAE",
    "comparison": {
      "size": 11,
      "gpaPercentile": 80,
      "countPercentile": 20,
      "medianCount": 49,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 3,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": true
        }
      ]
    }
  }
]
```

#### 1202

##### term

1202

##### gpa

3.7432432432432434

##### count

37

##### university

###### size

1102

###### gpa Percentile

70

###### count Percentile

15

###### median Count

68

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 218   | false   |
| 3.2–3.6 | 371   | false   |
| 3.6–4.0 | 498   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1212

##### term

1212

##### gpa

3.765625

##### count

32

##### university

###### size

1111

###### gpa Percentile

65

###### count Percentile

5

###### median Count

68

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 4     | false   |
| 2.8–3.2 | 159   | false   |
| 3.2–3.6 | 337   | false   |
| 3.6–4.0 | 611   | true    |

##### departments

```json
[
  {
    "subject": "AAE",
    "comparison": {
      "size": 10,
      "gpaPercentile": 78,
      "countPercentile": 0,
      "medianCount": 45,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 4,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 4,
          "current": true
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.480769230769231

##### count

26

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1232

##### term

1232

##### gpa

3.4838709677419355

##### count

31

##### university

###### size

1216

###### gpa Percentile

35

###### count Percentile

4

###### median Count

66

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 356   | true    |
| 3.6–4.0 | 670   | false   |

##### departments

```json
[
  {
    "subject": "AAE",
    "comparison": {
      "size": 11,
      "gpaPercentile": 70,
      "countPercentile": 10,
      "medianCount": 45,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 6,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1242

##### term

1242

##### gpa

3.48

##### count

25

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1252

##### term

1252

##### gpa

3.546875

##### count

32

##### university

###### size

1333

###### gpa Percentile

37

###### count Percentile

5

###### median Count

69

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 115   | false   |
| 3.2–3.6 | 431   | true    |
| 3.6–4.0 | 773   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

#### 1262

##### term

1262

##### gpa

3.6785714285714284

##### count

14

##### departments

| subject | comparison |
| ------- | ---------- |
| AAE     |            |

### benchmarks

#### all

##### school

###### size

4146

###### gpa

3.655576857310451

###### top Share

81.61127984016484

###### count

193

##### AAE

###### size

43

###### gpa

3.4855260546615017

###### top Share

71.65237800076824

###### count

142

#### terms

##### 1072

###### school

###### size

723

###### gpa

3.344595727439471

###### top Share

62.012941427864526

###### count

67

##### 1082

###### school

###### size

723

###### gpa

3.3583896732335172

###### top Share

62.932746798940194

###### count

68

##### 1092

###### school

###### size

732

###### gpa

3.374660709520374

###### top Share

63.690339324346596

###### count

70

##### 1102

###### school

###### size

774

###### gpa

3.36712622366007

###### top Share

63.703228532165696

###### count

67

##### 1112

###### school

###### size

805

###### gpa

3.3737773184830386

###### top Share

63.91039244872789

###### count

66

##### 1122

###### school

###### size

804

###### gpa

3.3737149752667013

###### top Share

63.65118790117902

###### count

70

##### 1132

###### school

###### size

851

###### gpa

3.391128778809763

###### top Share

64.69509437122704

###### count

66

##### 1142

###### school

###### size

853

###### gpa

3.3941849959684913

###### top Share

65.28450334228523

###### count

67

##### 1152

###### school

###### size

918

###### gpa

3.408733538594633

###### top Share

66.06693005846735

###### count

65

##### 1162

###### school

###### size

954

###### gpa

3.43726781345039

###### top Share

68.05645304987395

###### count

64.5

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

###### AAE

###### size

10

###### gpa

3.4048042329085866

###### top Share

66.49204284839482

###### count

51.5

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

###### AAE

###### size

11

###### gpa

3.194011829740494

###### top Share

54.43346092492995

###### count

60

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

###### AAE

###### size

11

###### gpa

3.4014118036114707

###### top Share

69.75126403038601

###### count

49

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

###### AAE

###### size

10

###### gpa

3.531892672763265

###### top Share

76.19563139551

###### count

45

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

###### AAE

###### size

11

###### gpa

3.4135482380136697

###### top Share

64.80379498403573

###### count

45

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

## instructor Trends

```json
[
  {
    "uid": "instructor_55dbe77f8b0d5a89cdaedc39",
    "name": "DANIEL PHANEUF",
    "count": 199,
    "terms": [
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        "term": "1152",
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        "sections": 1,
        "gpa": 3.4545454545454546
      },
      {
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        "count": 35,
        "sections": 1,
        "gpa": 3.4
      },
      {
        "term": "1172",
        "count": 28,
        "sections": 1,
        "gpa": 3.6607142857142856
      },
      {
        "term": "1182",
        "count": 37,
        "sections": 1,
        "gpa": 3.081081081081081
      },
      {
        "term": "1192",
        "count": 46,
        "sections": 1,
        "gpa": 3.641304347826087
      },
      {
        "term": "1232",
        "count": 31,
        "sections": 1,
        "gpa": 3.4838709677419355
      }
    ]
  },
  {
    "uid": "instructor_21b298c014861dff7ca5aa22",
    "name": "SARAH JOHNSTON",
    "count": 152,
    "terms": [
      {
        "term": "1202",
        "count": 37,
        "sections": 1,
        "gpa": 3.7432432432432434
      },
      {
        "term": "1212",
        "count": 32,
        "sections": 1,
        "gpa": 3.765625
      },
      {
        "term": "1222",
        "count": 26,
        "sections": 1,
        "gpa": 3.480769230769231
      },
      {
        "term": "1242",
        "count": 25,
        "sections": 1,
        "gpa": 3.48
      },
      {
        "term": "1252",
        "count": 32,
        "sections": 1,
        "gpa": 3.546875
      }
    ]
  },
  {
    "uid": "instructor_0d0c83435adf607db3f608e2",
    "name": "KYLE STIEGERT",
    "count": 135,
    "terms": [
      {
        "term": "1072",
        "count": 22,
        "sections": 1,
        "gpa": 3.522727272727273
      },
      {
        "term": "1082",
        "count": 13,
        "sections": 1,
        "gpa": 3.576923076923077
      },
      {
        "term": "1092",
        "count": 20,
        "sections": 1,
        "gpa": 3.45
      },
      {
        "term": "1102",
        "count": 23,
        "sections": 1,
        "gpa": 3.652173913043478
      },
      {
        "term": "1112",
        "count": 23,
        "sections": 1,
        "gpa": 3.5869565217391304
      },
      {
        "term": "1122",
        "count": 11,
        "sections": 1,
        "gpa": 3.5454545454545454
      },
      {
        "term": "1132",
        "count": 11,
        "sections": 1,
        "gpa": 3.8181818181818183
      },
      {
        "term": "1142",
        "count": 12,
        "sections": 1,
        "gpa": 3.4166666666666665
      }
    ]
  },
  {
    "uid": "instructor_dc3467003599db3bc9b91b6a",
    "name": "ZHIDONG CHEN",
    "count": 35,
    "terms": [
      {
        "term": "1162",
        "count": 35,
        "sections": 1,
        "gpa": 3.4
      }
    ]
  },
  {
    "uid": "instructor_67a090c02127708b8e568a10",
    "name": "JEFFREY HADACHEK",
    "count": 14,
    "terms": [
      {
        "term": "1262",
        "count": 14,
        "sections": 1,
        "gpa": 3.6785714285714284
      }
    ]
  }
]
```

## following

| code    | title                                                       |
| ------- | ----------------------------------------------------------- |
| AAE 637 | APPLIED ECONOMETRIC ANALYSIS II                             |
| AAE 641 | FOUNDATIONS OF AGRICULTURAL ECONOMICS                       |
| AAE 642 | FOUNDATIONS OF DEVELOPMENT ECONOMICS                        |
| AAE 643 | FOUNDATIONS OF ENVIRONMENTAL AND NATURAL RESOURCE ECONOMICS |
| AAE 721 | PROFESSIONAL COMMUNICATION OF APPLIED ECONOMIC ANALYSIS     |
| AAE 722 | MACHINE LEARNING IN APPLIED ECONOMIC ANALYSIS               |
| AAE 737 | APPLIED ECONOMETRIC ANALYSIS III                            |
| AAE 772 | APPLIED ECONOMETRICS OF RESOURCE AND ENERGY DEMAND          |
| AAE 774 | PRACTICUM IN RESOURCE AND ENERGY DEMAND ANALYSIS I          |
