# LANDARC 211: Shaping the Built Environment | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/LANDARC_211)

## 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
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* 1242
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* 1194
* 1192
* 1184
* 1182
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* 1172
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* 1082
* 1074
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### term

1272

### departments

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

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

6f0d87b8a4800a38c8f77468f11bfb5ed85db8ac74c0e16e272cb7db252759ba

### course id

LANDARC 211

### course uid

course\_5492b8c63040a2505ff02047

### catalog version id

3ca4b81af30919cafc532f483a6c1badbb689cd9be8e7e5f90600647fb29e223

### course number

211

### subjects

* LANDARC

### title

SHAPING THE BUILT ENVIRONMENT

### description

Urban, suburban, and rural environments intersect with the natural environment in important yet complex ways. Cultural as well as biophysical systems influence the structure and function of these environments at both local and regional scales. Exploration of these relationships by analyzing built environments and simulating future design and planning scenarios offer a transdisciplinary foundation for subsequent coursework.

### requirements text

None

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

c4faec58774fa8108727d14a2ce972c12c8315f12cbe7f2f83f0d1ed23310424

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Explores relationships between cultural, biophysical, and built environments through analysis and simulation.

### llm topics

* Urban, suburban, and rural environments
* Cultural and biophysical systems
* Transdisciplinary approaches to planning

### llm skills

* Analyze built environments
* Simulate future design and planning scenarios

### llm assumed background

None recorded.

### llm search phrases

* urban planning simulation
* built environment analysis
* transdisciplinary design
* biophysical systems planning
* suburban rural environments

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

d9f054ce0398409aa64b16bd7007289ddbc371d48e4a76af5348479fe143fc62

#### course id

LANDARC 211

#### 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 2023: 3.88 GPA, 100.0% A/AB (n=37 letter grades); Spring 2024: 3.98 GPA, 100.0% A/AB (n=41 letter grades); Spring 2025: 3.91 GPA, 97.8% A/AB (n=46 letter grades).

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```

#### 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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    "children": [],
    "condition": "None",
    "course": null,
    "evidence": "None",
    "id": "source_requirements",
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]
```

#### notes

* Display fallback using original requirements text; not an LLM-parsed rule.

#### root

source\_requirements

#### status

needs\_review

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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```

### grades

```json
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  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "LANDARC 211",
    "course_uid": "course_5492b8c63040a2505ff02047",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Anna Bierbrauer",
      "Siming Li"
    ],
    "a": 39,
    "ab": 6,
    "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": 46,
    "source_aliases": [
      "LANDARC 211"
    ]
  }
]
```

### statistics

#### gpa

3.806

#### graded

204

#### counts

* 153
* 36
* 9
* 3
* 2
* 0
* 1

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_5492b8c63040a2505ff02047-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_5492b8c63040a2505ff02047-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_5492b8c63040a2505ff02047-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_5492b8c63040a2505ff02047-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_5492b8c63040a2505ff02047-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_5492b8c63040a2505ff02047-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.8063725490196076

#### count

204

#### university

##### size

3059

##### gpa Percentile

59

##### count Percentile

68

##### median Count

115

##### 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 | 11    | false   |
| 2.8–3.2 | 187   | false   |
| 3.2–3.6 | 799   | false   |
| 3.6–4.0 | 2062  | true    |

#### departments

```json
[
  {
    "subject": "LANDARC",
    "comparison": {
      "size": 20,
      "gpaPercentile": 79,
      "countPercentile": 79,
      "medianCount": 114.5,
      "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": 7,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1194

##### term

1194

##### gpa

3.40625

##### count

16

##### departments

| subject | comparison |
| ------- | ---------- |
| LANDARC |            |

#### 1204

##### term

1204

##### gpa

3.44

##### count

25

##### departments

| subject | comparison |
| ------- | ---------- |
| LANDARC |            |

#### 1224

##### term

1224

##### gpa

3.8333333333333335

##### count

39

##### university

###### size

1171

###### gpa Percentile

74

###### count Percentile

20

###### 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 | 3     | false   |
| 2.4–2.8 | 21    | false   |
| 2.8–3.2 | 173   | false   |
| 3.2–3.6 | 358   | false   |
| 3.6–4.0 | 616   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| LANDARC |            |

#### 1234

##### term

1234

##### gpa

3.8783783783783785

##### count

37

##### university

###### size

1188

###### gpa Percentile

78

###### count Percentile

15

###### 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 | 3     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 144   | false   |
| 3.2–3.6 | 374   | false   |
| 3.6–4.0 | 650   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| LANDARC |            |

#### 1244

##### term

1244

##### gpa

3.975609756097561

##### count

41

##### university

###### size

1241

###### gpa Percentile

92

###### count Percentile

24

###### 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 | 2     | false   |
| 2.4–2.8 | 9     | false   |
| 2.8–3.2 | 151   | false   |
| 3.2–3.6 | 373   | false   |
| 3.6–4.0 | 706   | true    |

##### departments

```json
[
  {
    "subject": "LANDARC",
    "comparison": {
      "size": 11,
      "gpaPercentile": 100,
      "countPercentile": 50,
      "medianCount": 41,
      "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": 2,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": true
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.9130434782608696

##### count

46

##### university

###### size

1289

###### gpa Percentile

83

###### count Percentile

29

###### 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 | 0     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 128   | false   |
| 3.2–3.6 | 379   | false   |
| 3.6–4.0 | 765   | true    |

##### departments

```json
[
  {
    "subject": "LANDARC",
    "comparison": {
      "size": 11,
      "gpaPercentile": 90,
      "countPercentile": 30,
      "medianCount": 48,
      "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": 2,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

3059

###### gpa

3.6852444495242946

###### top Share

83.52253058527982

###### count

115

##### LANDARC

###### size

20

###### gpa

3.60682637582227

###### top Share

80.56397468527783

###### count

114.5

#### terms

##### 1194

###### school

###### size

1040

###### gpa

3.4906527436719808

###### top Share

71.74728845515045

###### count

67

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### LANDARC

###### size

11

###### gpa

3.689508024262557

###### top Share

85.3718775905583

###### count

41

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### LANDARC

###### size

11

###### gpa

3.691055422837633

###### top Share

85.70846372417932

###### count

48

## instructor Trends

```json
[
  {
    "uid": "instructor_8f6ad726791ad14f6621aedf",
    "name": "ANNA BIERBRAUER",
    "count": 87,
    "terms": [
      {
        "term": "1244",
        "count": 41,
        "sections": 1,
        "gpa": 3.975609756097561
      },
      {
        "term": "1254",
        "count": 46,
        "sections": 1,
        "gpa": 3.9130434782608696
      }
    ]
  },
  {
    "uid": "instructor_8d3f86fdc0874bacf909be4b",
    "name": "SIMING LI",
    "count": 46,
    "terms": [
      {
        "term": "1254",
        "count": 46,
        "sections": 1,
        "gpa": 3.9130434782608696
      }
    ]
  },
  {
    "uid": "instructor_080fc143896d9d2aae5a99f9",
    "name": "DOUGLAS HADLEY",
    "count": 41,
    "terms": [
      {
        "term": "1194",
        "count": 16,
        "sections": 1,
        "gpa": 3.40625
      },
      {
        "term": "1204",
        "count": 25,
        "sections": 1,
        "gpa": 3.44
      }
    ]
  },
  {
    "uid": "instructor_9471299a4ea0c678170f4ac8",
    "name": "EVELYN HOWELL",
    "count": 41,
    "terms": [
      {
        "term": "1194",
        "count": 16,
        "sections": 1,
        "gpa": 3.40625
      },
      {
        "term": "1204",
        "count": 25,
        "sections": 1,
        "gpa": 3.44
      }
    ]
  },
  {
    "uid": "instructor_998b650baf0b29adc5254dec",
    "name": "BRADLEY VOWELS",
    "count": 39,
    "terms": [
      {
        "term": "1224",
        "count": 39,
        "sections": 1,
        "gpa": 3.8333333333333335
      }
    ]
  },
  {
    "uid": "instructor_5479987a01ba68140b9f1bf3",
    "name": "JENNIFER CURRENT",
    "count": 37,
    "terms": [
      {
        "term": "1234",
        "count": 37,
        "sections": 1,
        "gpa": 3.8783783783783785
      }
    ]
  },
  {
    "uid": "instructor_77f99799e814925318869c50",
    "name": "JENNIFER SIMONS",
    "count": 16,
    "terms": [
      {
        "term": "1194",
        "count": 16,
        "sections": 1,
        "gpa": 3.40625
      }
    ]
  }
]
```

## following

None recorded.
