# F\&WECOL 395: Data and GIS Tools for Ecology | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/F%26WECOL_395)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f

### observed at

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

### built at

2026-09-10T23:19:01.870283+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
* 1262
* 1254
* 1252
* 1244
* 1242
* 1234
* 1232
* 1224
* 1222
* 1212
* 1204
* 1202
* 1194
* 1192
* 1184
* 1182
* 1174
* 1172
* 1164
* 1162
* 1154
* 1152
* 1144
* 1142
* 1134
* 1132
* 1124
* 1122
* 1114
* 1112
* 1104
* 1102
* 1094
* 1092
* 1084
* 1082
* 1074
* 1072

### term

1272

### departments

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

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

ed577026cfa9b97247a55f89bc498477f17bb57168547cf60a0649a7c3475b82

### course id

F\&WECOL 395

### course uid

course\_e124309c07acbe88de6235e3

### catalog version id

b619004b5ffe850be4de34abcd9d97a9016e0a2a60ff36f16fd1c4e77bfdafa8

### course number

395

### subjects

* F\&WECOL

### title

DATA AND GIS TOOLS FOR ECOLOGY

### description

Quantitative tools applicable to the investigation of ecological problems, including but not limited to, statistics, Geographic Information Systems (GIS), Remote Sensing, and spatial analysis. Overview of commonly used quantitative techniques in ecological sciences with an emphasis on GIS and spatial analysis. Introduces spatial tools and practical applications using ecological/environmental data sets.

### requirements text

MATH 113,114, 171, placement intoMATH 221, or graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

2c6f3ff87b24168ec4cab157e010ad45489086e589064b6a55049ebb03e62a8c

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

F\&WECOL 395 teaches quantitative tools, GIS, and spatial analysis for ecological investigations.

### llm topics

* Statistics, GIS, Remote Sensing, and spatial analysis.
* Practical applications with ecological and environmental data.

### llm skills

* Application of quantitative tools and spatial analysis to ecological problems.
* Use of Geographic Information Systems (GIS) and Remote Sensing techniques.

### llm assumed background

* Prerequisite knowledge in trigonometry, precalculus, or calculus, or graduate standing.
* Foundational mathematics including trigonometry, precalculus, and calculus.

### llm search phrases

* ecological data analysis
* GIS spatial analysis ecology
* remote sensing ecology course
* quantitative ecology tools
* MATH 221 placement ecology

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

0eafdeec014ebbf3b6f1272f61282ba952e1cadc06c7a9fc1ee8e5b681c0598d

#### course id

F\&WECOL 395

#### current instructors

None recorded.

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

false

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=23 letter grades).

```json
{
  "citations": [
    {
      "course_id": "F&WECOL 395",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "47a9b43d-a4e0-3b3b-9686-51c3889286d0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1254",
      "type": "grade"
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
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    "id": "n0",
    "kind": "any"
  },
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      "n3",
      "n4"
    ],
    "condition": null,
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    "evidence": "MATH 113,114, 171",
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    "kind": "any"
  },
  {
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    "condition": null,
    "course": {
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      "minimum_grade": null,
      "subjects": [
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      "timing": "prior"
    },
    "evidence": "MATH 113",
    "id": "n2",
    "kind": "course"
  },
  {
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    "condition": null,
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      "minimum_grade": null,
      "subjects": [
        "MATH"
      ],
      "timing": "prior"
    },
    "evidence": "114",
    "id": "n3",
    "kind": "course"
  },
  {
    "children": [],
    "condition": "171",
    "course": null,
    "evidence": "171",
    "id": "n4",
    "kind": "condition"
  },
  {
    "children": [],
    "condition": "placement intoMATH 221",
    "course": null,
    "evidence": "placement intoMATH 221",
    "id": "n5",
    "kind": "condition"
  },
  {
    "children": [],
    "condition": "graduate/professional standing",
    "course": null,
    "evidence": "graduate/professional standing",
    "id": "n6",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_9397895cc3f0282e8ce4ab92",
    "source": "madgrades",
    "source_instructor_id": "4391729",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MUTLU OZDOGAN",
    "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",
    "grade_statistics": {
      "gpa": 3.945,
      "graded": 491,
      "counts": [
        453,
        27,
        7,
        3,
        1,
        0,
        0
      ],
      "sections": 99
    },
    "instructor_url": "/instructors/MUTLU_OZDOGAN--instructor_9397895cc3f0282e8ce4ab92"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "F&WECOL 395",
    "course_uid": "course_e124309c07acbe88de6235e3",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Mutlu Ozdogan"
    ],
    "a": 17,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "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": 18,
    "source_aliases": [
      "F&WECOL 395"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "F&WECOL 395",
    "course_uid": "course_e124309c07acbe88de6235e3",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Mutlu Ozdogan"
    ],
    "a": 23,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
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    "passed": 0,
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    "not_reported": 0,
    "other": 0,
    "total": 23,
    "source_aliases": [
      "F&WECOL 395"
    ]
  }
]
```

### statistics

#### gpa

4

#### graded

40

#### counts

* 40
* 0
* 0
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_e124309c07acbe88de6235e3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_e124309c07acbe88de6235e3-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_e124309c07acbe88de6235e3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_e124309c07acbe88de6235e3-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_e124309c07acbe88de6235e3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_e124309c07acbe88de6235e3-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

4

#### count

40

#### university

##### size

2021

##### gpa Percentile

94

##### count Percentile

16

##### median Count

77

##### 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 | 21    | false   |
| 2.8–3.2 | 152   | false   |
| 3.2–3.6 | 521   | false   |
| 3.6–4.0 | 1327  | true    |

#### departments

```json
[
  {
    "subject": "F&WECOL",
    "comparison": {
      "size": 13,
      "gpaPercentile": 100,
      "countPercentile": 17,
      "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": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 0,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 9,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 4,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1254

##### term

1254

##### gpa

4

##### count

17

##### departments

| subject  | comparison |
| -------- | ---------- |
| F\&WECOL |            |

#### 1264

##### term

1264

##### gpa

4

##### count

23

##### departments

| subject  | comparison |
| -------- | ---------- |
| F\&WECOL |            |

### benchmarks

#### all

##### school

###### size

2021

###### gpa

3.660373947354374

###### top Share

82.25902967226666

###### count

77

##### F\&WECOL

###### size

13

###### gpa

3.570850356463237

###### top Share

74.79441403518075

###### count

60

#### terms

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

## instructor Trends

```json
[
  {
    "uid": "instructor_9397895cc3f0282e8ce4ab92",
    "name": "MUTLU OZDOGAN",
    "count": 40,
    "terms": [
      {
        "term": "1254",
        "count": 17,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1264",
        "count": 23,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
