# GEOG 378: Introduction to Geocomputing | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/GEOG_378)

## 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

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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
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| ANATOMY   | 2     |
| ANESTHES  | 8     |
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| ART       | 125   |
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| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
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| 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    |
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| ITALIAN   | 53    |
| JEWISH    | 56    |
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| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
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| LINGUIS   | 35    |
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| MARKETNG  | 62    |
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| 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

e6e0ec22a8e69fbea26b4284e0bd8cde8d754c7768d5dfc8dbee0da35699cd2c

### course id

GEOG 378

### course uid

course\_6b09a761a0eeeecdbbd88dc8

### catalog version id

c6f72d1e12909746dcddee0b45390ff2dc4829a8696b32ea103cf14b702208ae

### course number

378

### subjects

* GEOG

### title

INTRODUCTION TO GEOCOMPUTING

### description

Introduction to scripting for Geographic Information Science. Geoprocessing with open-source GIS utilities. Python scripting with ArcGIS and open-source libraries.

### requirements text

CIV ENGR/​ENVIR ST/​GEOG  377or concurrent enrollment, or graduate/professional standing

### credits min

4

### credits max

4

### credit offering ids

* 1272:416:023341

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

b77ff9e3e98dc75cc430a526a2b81b6134d3ebeb7257fc2c7112d639a0f07ee6

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Introduction to Geocomputing focusing on Python scripting for geoprocessing using ArcGIS and open-source libraries.

### llm topics

* Geographic Information Science
* Geoprocessing
* Python scripting
* ArcGIS
* Open-source libraries

### llm skills

* Scripting for Geographic Information Science
* Geoprocessing with open-source GIS utilities
* Python scripting with ArcGIS and open-source libraries

### llm assumed background

* Foundational knowledge of Geographic Information Systems (GIS) concepts, data storage, and spatial analysis.

### llm search phrases

* GEOG 378 Python scripting
* Geoprocessing ArcGIS
* Geocomputing introduction
* GIS utilities scripting

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

bfea03b92ff4bcab617c27be5649e152b26f5126f3527679bea45f10927c5af2

#### course id

GEOG 378

#### current instructors

```json
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    "message": null,
    "name": "Song Gao",
    "review_status": "supported",
    "rmp_instructor_id": "rmp:2313819",
    "summary": [
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          {
            "instructor_name": "Song Gao",
            "review_date": "2017-12-06 22:47:42 +0000 UTC",
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            "source_instructor_id": "rmp:2313819",
            "source_review_id": "UmF0aW5nLTI5MDczNTU4",
            "source_url": "https://www.ratemyprofessors.com/professor/2313819",
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          {
            "instructor_name": "Song Gao",
            "review_date": "2017-12-14 11:53:33 +0000 UTC",
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            "source_instructor_id": "rmp:2313819",
            "source_review_id": "UmF0aW5nLTI5MTk2ODIy",
            "source_url": "https://www.ratemyprofessors.com/professor/2313819",
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          {
            "instructor_name": "Song Gao",
            "review_date": "2019-01-10 16:04:19 +0000 UTC",
            "review_id": "2b52655090b7e34989f3373b",
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            "source_instructor_id": "rmp:2313819",
            "source_review_id": "UmF0aW5nLTMxMjM3NzM4",
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          {
            "instructor_name": "Song Gao",
            "review_date": "2022-01-18 14:04:00 +0000 UTC",
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          {
            "instructor_name": "Song Gao",
            "review_date": "2022-11-23 02:59:57 +0000 UTC",
            "review_id": "656d5f85cbd672738aa509dc",
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            "source_review_id": "UmF0aW5nLTM2ODg0MDc2",
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            "source_url": "https://www.ratemyprofessors.com/professor/2313819",
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          }
        ],
        "text": "Song Gao teaches Python programming with geospatial applications, using practical examples and concise lectures that many students find helpful and engaging. Reviewers appreciate his industry knowledge and the relevance of course material to GIS topics."
      },
      {
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            "review_date": "2021-11-16 22:43:17 +0000 UTC",
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            "source_instructor_id": "rmp:2313819",
            "source_review_id": "UmF0aW5nLTM1MjUxMzI5",
            "source_url": "https://www.ratemyprofessors.com/professor/2313819",
            "type": "review"
          },
          {
            "instructor_name": "Song Gao",
            "review_date": "2022-11-16 21:21:26 +0000 UTC",
            "review_id": "6602ae768a950787eea26ba3",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2313819",
            "source_review_id": "UmF0aW5nLTM2ODQ4MjMz",
            "source_url": "https://www.ratemyprofessors.com/professor/2313819",
            "type": "review"
          }
        ],
        "text": "Some students criticize the course for using outdated methods and lacking depth in geospatial coding instruction. One reviewer found the lectures ineffective and the labs excessively difficult without prior computer science experience."
      },
      {
        "citations": [
          {
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        ],
        "text": "Recent recorded grades — Fall 2021: 3.66 GPA, 84.4% A/AB (n=32 letter grades); Fall 2022: 3.72 GPA, 86.2% A/AB (n=29 letter grades); Fall 2025: 3.71 GPA, 81.0% A/AB (n=42 letter grades)."
      }
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  }
]
```

#### difficulty workload

The course is challenging for beginners without coding experience, featuring heavy labs and difficult assignments that require significant effort and practice.

```json
{
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      "review_date": "2022-11-16 21:21:26 +0000 UTC",
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    {
      "instructor_name": "Song Gao",
      "review_date": "2022-11-23 02:59:57 +0000 UTC",
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      "source_url": "https://www.ratemyprofessors.com/professor/2313819",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

None recorded.

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Song Gao teaches Python programming for geospatial computation, with many students finding his lectures helpful, concise, and relevant to GIS applications.

```json
{
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      "instructor_name": "Song Gao",
      "review_date": "2017-12-06 22:47:42 +0000 UTC",
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    },
    {
      "instructor_name": "Song Gao",
      "review_date": "2017-12-14 11:53:33 +0000 UTC",
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    },
    {
      "instructor_name": "Song Gao",
      "review_date": "2019-01-10 16:04:19 +0000 UTC",
      "review_id": "2b52655090b7e34989f3373b",
      "run_id": "20260907T155543-ce3781c4",
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    },
    {
      "instructor_name": "Song Gao",
      "review_date": "2022-01-18 14:04:00 +0000 UTC",
      "review_id": "c09afdc4cafe506c5ce6a244",
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    },
    {
      "instructor_name": "Song Gao",
      "review_date": "2022-11-23 02:59:57 +0000 UTC",
      "review_id": "656d5f85cbd672738aa509dc",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2313819",
      "source_review_id": "UmF0aW5nLTM2ODg0MDc2",
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    {
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      "review_date": "2022-12-28 15:57:46 +0000 UTC",
      "review_id": "f3afcb1f0056bd7ef6072909",
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  ]
}
```

Recent recorded grades — Fall 2024: 3.56 GPA, 80.7% A/AB (n=57 letter grades); Spring 2025: 3.23 GPA, 76.9% A/AB (n=13 letter grades); Fall 2025: 3.71 GPA, 81.0% A/AB (n=42 letter grades).

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      "table": "grades_latest",
      "term_id": "1262",
      "type": "grade"
    }
  ]
}
```

#### student experience

Some students find the content outdated or the teaching ineffective, while others suggest the course structure could better separate programming basics from geocomputing.

```json
{
  "citations": [
    {
      "instructor_name": "Song Gao",
      "review_date": "2021-11-16 22:43:17 +0000 UTC",
      "review_id": "132db2dd165901131a122f36",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2313819",
      "source_review_id": "UmF0aW5nLTM1MjUxMzI5",
      "source_url": "https://www.ratemyprofessors.com/professor/2313819",
      "type": "review"
    },
    {
      "instructor_name": "Song Gao",
      "review_date": "2022-01-18 14:00:55 +0000 UTC",
      "review_id": "8557943844dea00f60033ee7",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2313819",
      "source_review_id": "UmF0aW5nLTM1NzY1NjYz",
      "source_url": "https://www.ratemyprofessors.com/professor/2313819",
      "type": "review"
    },
    {
      "instructor_name": "Song Gao",
      "review_date": "2022-11-16 21:21:26 +0000 UTC",
      "review_id": "6602ae768a950787eea26ba3",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2313819",
      "source_review_id": "UmF0aW5nLTM2ODQ4MjMz",
      "source_url": "https://www.ratemyprofessors.com/professor/2313819",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

SONG GAO is recorded teaching in Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "GEOG 378",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "58cf29bc-0083-32d2-bd0c-a62e9ce965b7",
      "source_record": {
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1182",
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      "source_record": {
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1192",
      "type": "grade"
    },
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      "source_record": {
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1202",
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    },
    {
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      "source_record": {
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        "file": "tables/observations.parquet",
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      },
      "table": "section_grades_latest",
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    {
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      "source_record": {
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        "file": "tables/observations.parquet",
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      },
      "table": "section_grades_latest",
      "term_id": "1222",
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      "source_record": {
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1232",
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    },
    {
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      "source_record": {
        "entity_id": "58cf29bc-0083-32d2-bd0c-a62e9ce965b7",
        "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": [
      "n1",
      "n2"
    ],
    "condition": null,
    "course": null,
    "evidence": "CIV ENGR/ENVIR ST/GEOG 377or concurrent enrollment, or graduate/professional standing",
    "id": "n0",
    "kind": "any"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 377,
      "minimum_grade": null,
      "subjects": [
        "CIVENGR",
        "ENVIRST",
        "GEOG"
      ],
      "timing": "prior_or_concurrent"
    },
    "evidence": "CIV ENGR/ENVIR ST/GEOG 377or concurrent enrollment",
    "id": "n1",
    "kind": "course"
  },
  {
    "children": [],
    "condition": "graduate/professional standing",
    "course": null,
    "evidence": "graduate/professional standing",
    "id": "n2",
    "kind": "condition"
  }
]
```

#### notes

* Course reference 'CIV ENGR/ENVIR ST/GEOG 377' maps to linked course 'CIVENGR/ENVIRST/GEOG 377'.

#### root

n0

#### status

parsed

### instructors

```json
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    "identity_status": "source_identified",
    "name": "CHEN Wei",
    "email": "CHEN.WEI@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/CHEN_WEI"
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    "source_instructor_id": "sgao93",
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    "identity_status": "source_identified",
    "name": "Song Gao",
    "email": "SONG.GAO@WISC.EDU",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
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      "match_basis": "exact_name",
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]
```

### offerings

```json
[
  {
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    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "term_id": "1272",
    "source_course_id": "023341",
    "source_subject_id": "416",
    "title": "Introduction to Geocomputing",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall, Spring"
  }
]
```

### sections

```json
[
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]
```

### grade instructors

```json
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### grades

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    "course_uid": "course_6b09a761a0eeeecdbbd88dc8",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Song Gao"
    ],
    "a": 26,
    "ab": 8,
    "b": 8,
    "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": 42,
    "source_aliases": [
      "GEOG 378"
    ]
  }
]
```

### statistics

#### gpa

3.601

#### graded

863

#### counts

* 536
* 161
* 97
* 24
* 22
* 5
* 18

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_6b09a761a0eeeecdbbd88dc8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_6b09a761a0eeeecdbbd88dc8-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_6b09a761a0eeeecdbbd88dc8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_6b09a761a0eeeecdbbd88dc8-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_6b09a761a0eeeecdbbd88dc8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_6b09a761a0eeeecdbbd88dc8-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_6b09a761a0eeeecdbbd88dc8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_6b09a761a0eeeecdbbd88dc8-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_6b09a761a0eeeecdbbd88dc8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_6b09a761a0eeeecdbbd88dc8-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.600811123986095

#### count

863

#### university

##### size

5341

##### gpa Percentile

33

##### count Percentile

84

##### median Count

187

##### 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 | 6     | false   |
| 2.8–3.2 | 327   | false   |
| 3.2–3.6 | 1415  | false   |
| 3.6–4.0 | 3592  | true    |

#### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 76,
      "gpaPercentile": 45,
      "countPercentile": 84,
      "medianCount": 191.5,
      "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": 6,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 28,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 42,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1114

##### term

1114

##### gpa

3.5588235294117645

##### count

17

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1124

##### term

1124

##### gpa

3.2884615384615383

##### count

26

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1134

##### term

1134

##### gpa

3.3541666666666665

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1142

##### term

1142

##### gpa

3.5217391304347827

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1152

##### term

1152

##### gpa

3.546875

##### count

32

##### university

###### size

918

###### gpa Percentile

64

###### count Percentile

3

###### median Count

65

###### 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 | 33    | false   |
| 2.8–3.2 | 227   | false   |
| 3.2–3.6 | 371   | true    |
| 3.6–4.0 | 286   | false   |

##### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 20,
      "gpaPercentile": 84,
      "countPercentile": 0,
      "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": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1162

##### term

1162

##### gpa

3.4571428571428573

##### count

35

##### university

###### size

954

###### gpa Percentile

51

###### 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

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 18,
      "gpaPercentile": 76,
      "countPercentile": 6,
      "medianCount": 79.5,
      "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": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1172

##### term

1172

##### gpa

3.626865671641791

##### count

67

##### university

###### size

991

###### gpa Percentile

63

###### count Percentile

49

###### 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 | 0     | false   |
| 2.4–2.8 | 22    | false   |
| 2.8–3.2 | 226   | false   |
| 3.2–3.6 | 353   | false   |
| 3.6–4.0 | 390   | true    |

##### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 16,
      "gpaPercentile": 80,
      "countPercentile": 33,
      "medianCount": 81.5,
      "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": 4,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 7,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 5,
          "current": true
        }
      ]
    }
  }
]
```

#### 1174

##### term

1174

##### gpa

3.7

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1182

##### term

1182

##### gpa

3.639705882352941

##### count

68

##### university

###### size

1025

###### gpa Percentile

64

###### count Percentile

48

###### 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   | false   |
| 3.2–3.6 | 369   | false   |
| 3.6–4.0 | 418   | true    |

##### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 20,
      "gpaPercentile": 74,
      "countPercentile": 47,
      "medianCount": 68.5,
      "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": 11,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": true
        }
      ]
    }
  }
]
```

#### 1184

##### term

1184

##### gpa

3.710526315789474

##### count

19

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1192

##### term

1192

##### gpa

3.611940298507463

##### count

67

##### university

###### size

1077

###### gpa Percentile

57

###### count Percentile

50

###### 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": "GEOG",
    "comparison": {
      "size": 21,
      "gpaPercentile": 75,
      "countPercentile": 45,
      "medianCount": 73,
      "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": 12,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": true
        }
      ]
    }
  }
]
```

#### 1194

##### term

1194

##### gpa

3.3448275862068964

##### count

29

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1202

##### term

1202

##### gpa

3.7131147540983607

##### count

61

##### university

###### size

1102

###### gpa Percentile

67

###### count Percentile

45

###### 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

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 18,
      "gpaPercentile": 88,
      "countPercentile": 47,
      "medianCount": 62,
      "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": 8,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": true
        }
      ]
    }
  }
]
```

#### 1204

##### term

1204

##### gpa

3.9285714285714284

##### count

14

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1212

##### term

1212

##### gpa

3.520408163265306

##### count

49

##### university

###### size

1111

###### gpa Percentile

38

###### count Percentile

33

###### 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   | true    |
| 3.6–4.0 | 611   | false   |

##### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 19,
      "gpaPercentile": 44,
      "countPercentile": 28,
      "medianCount": 69,
      "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": 0,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 11,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.6346153846153846

##### count

52

##### university

###### size

1157

###### gpa Percentile

50

###### count Percentile

38

###### median Count

64

###### 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 | 17    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 351   | false   |
| 3.6–4.0 | 614   | true    |

##### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 18,
      "gpaPercentile": 41,
      "countPercentile": 41,
      "medianCount": 67,
      "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": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": true
        }
      ]
    }
  }
]
```

#### 1224

##### term

1224

##### gpa

3.7777777777777777

##### count

27

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1232

##### term

1232

##### gpa

3.7564102564102564

##### count

39

##### university

###### size

1216

###### gpa Percentile

64

###### count Percentile

20

###### 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   | false   |
| 3.6–4.0 | 670   | true    |

##### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 21,
      "gpaPercentile": 85,
      "countPercentile": 20,
      "medianCount": 85,
      "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": 13,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": true
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

3.5454545454545454

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1242

##### term

1242

##### gpa

3.5982142857142856

##### count

56

##### university

###### size

1295

###### gpa Percentile

44

###### count Percentile

42

###### 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 | 2     | false   |
| 2.4–2.8 | 11    | false   |
| 2.8–3.2 | 162   | false   |
| 3.2–3.6 | 394   | true    |
| 3.6–4.0 | 726   | false   |

##### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 18,
      "gpaPercentile": 59,
      "countPercentile": 24,
      "medianCount": 78.5,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 10,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": false
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.9

##### count

15

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1252

##### term

1252

##### gpa

3.56140350877193

##### count

57

##### university

###### size

1333

###### gpa Percentile

38

###### count Percentile

41

###### 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

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 20,
      "gpaPercentile": 58,
      "countPercentile": 42,
      "medianCount": 66,
      "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": 10,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.230769230769231

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| GEOG    |            |

#### 1262

##### term

1262

##### gpa

3.7142857142857144

##### count

42

##### university

###### size

1320

###### gpa Percentile

52

###### count Percentile

24

###### median Count

70

###### 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 | 8     | false   |
| 2.8–3.2 | 133   | false   |
| 3.2–3.6 | 381   | false   |
| 3.6–4.0 | 797   | true    |

##### departments

```json
[
  {
    "subject": "GEOG",
    "comparison": {
      "size": 17,
      "gpaPercentile": 75,
      "countPercentile": 19,
      "medianCount": 73,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 7,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

5341

###### gpa

3.6824387685012088

###### top Share

83.20573840857355

###### count

187

##### GEOG

###### size

76

###### gpa

3.604183186808036

###### top Share

78.63931831256548

###### count

191.5

#### terms

##### 1114

###### school

###### size

804

###### gpa

3.3696004653806844

###### top Share

64.0389334741844

###### count

68

###### GEOG

###### size

15

###### gpa

3.124865845222398

###### top Share

51.4706229211916

###### count

73

##### 1124

###### school

###### size

821

###### gpa

3.406589342026613

###### top Share

66.35774230127205

###### count

67

###### GEOG

###### size

15

###### gpa

3.1841492533973814

###### top Share

52.248440894211974

###### count

79

##### 1134

###### school

###### size

852

###### gpa

3.4138934207568203

###### top Share

66.35946578182744

###### count

66

###### GEOG

###### size

16

###### gpa

3.1949847382082988

###### top Share

50.73507925415191

###### count

72

##### 1142

###### school

###### size

853

###### gpa

3.3941849959684913

###### top Share

65.28450334228523

###### count

67

###### GEOG

###### size

16

###### gpa

3.2439910619141195

###### top Share

53.875172660656986

###### count

77

##### 1152

###### school

###### size

918

###### gpa

3.408733538594633

###### top Share

66.06693005846735

###### count

65

###### GEOG

###### size

20

###### gpa

3.2886723887363396

###### top Share

57.6790762666065

###### count

60

##### 1162

###### school

###### size

954

###### gpa

3.43726781345039

###### top Share

68.05645304987395

###### count

64.5

###### GEOG

###### size

18

###### gpa

3.3176420835103957

###### top Share

60.81158305120385

###### count

79.5

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

###### GEOG

###### size

16

###### gpa

3.3601991654243832

###### top Share

63.20012922722716

###### count

81.5

##### 1174

###### school

###### size

955

###### gpa

3.4597947384071412

###### top Share

69.5290038366363

###### count

69

###### GEOG

###### size

17

###### gpa

3.3769350586664646

###### top Share

64.93734543619735

###### count

94

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

###### GEOG

###### size

20

###### gpa

3.453345625277811

###### top Share

69.04243509767332

###### count

68.5

##### 1184

###### school

###### size

1010

###### gpa

3.47925290354517

###### top Share

70.86270937115944

###### count

68

###### GEOG

###### size

21

###### gpa

3.421632555951756

###### top Share

69.018944646112

###### count

77

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

###### GEOG

###### size

21

###### gpa

3.436453371088323

###### top Share

69.30075813293759

###### count

73

##### 1194

###### school

###### size

1040

###### gpa

3.4906527436719808

###### top Share

71.74728845515045

###### count

67

###### GEOG

###### size

21

###### gpa

3.40427141755737

###### top Share

66.93916213679151

###### count

70

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

###### GEOG

###### size

18

###### gpa

3.456671683161845

###### top Share

67.85126625248914

###### count

62

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### GEOG

###### size

18

###### gpa

3.582718246474726

###### top Share

76.43639814202594

###### count

78.5

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

###### GEOG

###### size

19

###### gpa

3.5848710600704585

###### top Share

79.56717101308115

###### count

69

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

###### GEOG

###### size

18

###### gpa

3.574990853996189

###### top Share

77.25434022903585

###### count

67

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### GEOG

###### size

20

###### gpa

3.4618333551122022

###### top Share

71.12507541597725

###### count

73

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

###### GEOG

###### size

21

###### gpa

3.531015747669934

###### top Share

78.08327879080488

###### count

85

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### GEOG

###### size

20

###### gpa

3.443558312357458

###### top Share

69.37000071893554

###### count

86

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### GEOG

###### size

18

###### gpa

3.5318959571655393

###### top Share

75.76728730712648

###### count

78.5

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### GEOG

###### size

22

###### gpa

3.5303428750158634

###### top Share

74.39280835537028

###### count

72

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### GEOG

###### size

20

###### gpa

3.560484505388163

###### top Share

74.78525450469792

###### count

66

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### GEOG

###### size

22

###### gpa

3.5765534265131054

###### top Share

77.77119788550397

###### count

73

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### GEOG

###### size

17

###### gpa

3.547745099112077

###### top Share

74.51098573869868

###### count

73

## instructor Trends

```json
[
  {
    "uid": "instructor_6754e1d9cf8fde80c59c0a90",
    "name": "ZEB THOMAS",
    "count": 318,
    "terms": [
      {
        "term": "1172",
        "count": 35,
        "sections": 1,
        "gpa": 3.8142857142857145
      },
      {
        "term": "1174",
        "count": 20,
        "sections": 1,
        "gpa": 3.7
      },
      {
        "term": "1182",
        "count": 11,
        "sections": 1,
        "gpa": 3.9545454545454546
      },
      {
        "term": "1184",
        "count": 19,
        "sections": 1,
        "gpa": 3.710526315789474
      },
      {
        "term": "1192",
        "count": 33,
        "sections": 1,
        "gpa": 3.4393939393939394
      },
      {
        "term": "1194",
        "count": 29,
        "sections": 1,
        "gpa": 3.3448275862068964
      },
      {
        "term": "1202",
        "count": 14,
        "sections": 1,
        "gpa": 3.857142857142857
      },
      {
        "term": "1204",
        "count": 14,
        "sections": 1,
        "gpa": 3.9285714285714284
      },
      {
        "term": "1212",
        "count": 20,
        "sections": 1,
        "gpa": 3.525
      },
      {
        "term": "1222",
        "count": 20,
        "sections": 1,
        "gpa": 3.6
      },
      {
        "term": "1224",
        "count": 27,
        "sections": 1,
        "gpa": 3.7777777777777777
      },
      {
        "term": "1232",
        "count": 10,
        "sections": 1,
        "gpa": 3.85
      },
      {
        "term": "1234",
        "count": 11,
        "sections": 1,
        "gpa": 3.5454545454545454
      },
      {
        "term": "1242",
        "count": 11,
        "sections": 1,
        "gpa": 3.8181818181818183
      },
      {
        "term": "1244",
        "count": 15,
        "sections": 1,
        "gpa": 3.9
      },
      {
        "term": "1252",
        "count": 16,
        "sections": 1,
        "gpa": 3.78125
      },
      {
        "term": "1254",
        "count": 13,
        "sections": 1,
        "gpa": 3.230769230769231
      }
    ]
  },
  {
    "uid": "instructor_ba710d4784ce71f46c828e9d",
    "name": "SONG GAO",
    "count": 230,
    "terms": [
      {
        "term": "1182",
        "count": 27,
        "sections": 1,
        "gpa": 3.7777777777777777
      },
      {
        "term": "1192",
        "count": 34,
        "sections": 1,
        "gpa": 3.7794117647058822
      },
      {
        "term": "1202",
        "count": 37,
        "sections": 1,
        "gpa": 3.824324324324324
      },
      {
        "term": "1212",
        "count": 29,
        "sections": 1,
        "gpa": 3.5172413793103448
      },
      {
        "term": "1222",
        "count": 32,
        "sections": 1,
        "gpa": 3.65625
      },
      {
        "term": "1232",
        "count": 29,
        "sections": 1,
        "gpa": 3.7241379310344827
      },
      {
        "term": "1262",
        "count": 42,
        "sections": 1,
        "gpa": 3.7142857142857144
      }
    ]
  },
  {
    "uid": "instructor_a83faa676e93682dbbe88a3e",
    "name": "JAMES BURT",
    "count": 105,
    "terms": [
      {
        "term": "1124",
        "count": 26,
        "sections": 1,
        "gpa": 3.2884615384615383
      },
      {
        "term": "1134",
        "count": 24,
        "sections": 1,
        "gpa": 3.3541666666666665
      },
      {
        "term": "1142",
        "count": 23,
        "sections": 1,
        "gpa": 3.5217391304347827
      },
      {
        "term": "1152",
        "count": 32,
        "sections": 1,
        "gpa": 3.546875
      }
    ]
  },
  {
    "uid": "instructor_c2bc01ed44caadc796647502",
    "name": "YUYING CHEN",
    "count": 76,
    "terms": [
      {
        "term": "1172",
        "count": 35,
        "sections": 1,
        "gpa": 3.8142857142857145
      },
      {
        "term": "1252",
        "count": 41,
        "sections": 1,
        "gpa": 3.475609756097561
      }
    ]
  },
  {
    "uid": "instructor_4fc3ebb729204ee3f4ea6a36",
    "name": "JAKE KRUSE",
    "count": 45,
    "terms": [
      {
        "term": "1242",
        "count": 45,
        "sections": 1,
        "gpa": 3.5444444444444443
      }
    ]
  },
  {
    "uid": "instructor_5555a550806642613604a61a",
    "name": "SIMON GORING",
    "count": 35,
    "terms": [
      {
        "term": "1162",
        "count": 35,
        "sections": 1,
        "gpa": 3.4571428571428573
      }
    ]
  },
  {
    "uid": "instructor_b193363f8c75557fde1515c7",
    "name": "CARL SACK",
    "count": 32,
    "terms": [
      {
        "term": "1172",
        "count": 32,
        "sections": 1,
        "gpa": 3.421875
      }
    ]
  },
  {
    "uid": "instructor_a40d95cd432e710b945e5ca9",
    "name": "MICHAEL EGGEN",
    "count": 30,
    "terms": [
      {
        "term": "1182",
        "count": 30,
        "sections": 1,
        "gpa": 3.4
      }
    ]
  },
  {
    "uid": "instructor_0f64a012ac7f08302eeda889",
    "name": "RICHARD DONOHUE",
    "count": 17,
    "terms": [
      {
        "term": "1114",
        "count": 17,
        "sections": 1,
        "gpa": 3.5588235294117645
      }
    ]
  },
  {
    "uid": "instructor_1271accecb9502b92b82b60d",
    "name": "RANDY SINCOULAR",
    "count": 10,
    "terms": [
      {
        "term": "1202",
        "count": 10,
        "sections": 1,
        "gpa": 3.1
      }
    ]
  }
]
```

## following

| code     | title                                                   |
| -------- | ------------------------------------------------------- |
| GEOG 573 | ADVANCED GEOCOMPUTING AND GEOSPATIAL BIG DATA ANALYTICS |
| GEOG 575 | INTERACTIVE CARTOGRAPHY & GEOVISUALIZATION              |
| GEOG 576 | GEOSPATIAL WEB AND MOBILE PROGRAMMING                   |
| GEOG 777 | CAPSTONE IN GIS DEVELOPMENT                             |
| GEOG 778 | PRACTICUM IN GIS DEVELOPMENT                            |

## projection

### target

1272

### interval

#### lower

3.51

#### upper

3.79

#### coverage

80

#### terms

8

### gpa

3.6525125466982726

### grades

| grade | percentage          |
| ----- | ------------------- |
| A     | 61.92874820595955   |
| AB    | 19.671134413487678  |
| B     | 12.65604974615721   |
| BC    | 3.2642658159329407  |
| C     | 1.070482745875416   |
| D     | 0.41751212872733945 |
| F     | 0.991806943859851   |

### source Terms

* 1262
* 1252
* 1242
* 1232
* 1222

### source Count

246

### same Season

true

### historical Range

* 3.56140350877193
* 3.7564102564102564

### backtest

#### terms

8

#### gpa Error

0.08325669822588688

#### mix Error

11.665053353317454
