# PLPATH 315: Plant Microbiomes | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/PLPATH_315)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

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

### built at

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

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
| CURRIC    | 193   |
| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| 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

26fc6c229396d2aae425893db15a5647d5a97707232fd5e21f9e2c7fd918ed74

### course id

PLPATH 315

### course uid

course\_bdda16fb1e867316fda3ca75

### catalog version id

6cbc63bc3cd0f389c08aedd2204eece4dd7b22b78acc12085f0f07857acb5709

### course number

315

### subjects

* PLPATH

### title

PLANT MICROBIOMES

### description

Explore plant associated microbial communities (the plant microbiome), methods used to study them, and how we can use them to improve plant and ecosystem health in the face of challenges to agricultural and natural systems. Examples will be drawn from annual crop, grassland, and forested ecosystems. Use current molecular, bioinformatic, and statistical approaches to characterize rhizosphere microbiomes from samples collected as part of on-going research projects.

### requirements text

(ZOOLOGY/​BIOLOGY/​BOTANY  152,ZOOLOGY/​BIOLOGY  101and102,BOTANY/​BIOLOGY  130, orBIOCORE 381) and (STAT 301or371), or Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

f5a6aff066ed2ee7734def353741acc64af462ee74af3927bbb3d0618672a7ff

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

PLANT MICROBIOMES explores plant microbiomes, study methods, and their application to improve plant and ecosystem health.

### llm topics

* Plant microbiomes
* Rhizosphere microbiomes
* Molecular and bioinformatic approaches

### llm skills

* Characterize microbiomes using molecular and bioinformatic methods
* Study microbial communities

### llm assumed background

* Introductory biology and statistics
* Plant biology or ecology

### llm search phrases

* plant microbiome
* microbial communities
* rhizosphere
* bioinformatics
* molecular ecology

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

d7d172e0bce32bdc8f3f5ac0d012a77e9a605a9d860841876facbabfef43ab8f

#### course id

PLPATH 315

#### 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 2024: 3.56 GPA, 75.6% A/AB (n=41 letter grades); Spring 2025: 3.83 GPA, 96.3% A/AB (n=27 letter grades); Spring 2026: 3.76 GPA, 88.1% A/AB (n=42 letter grades).

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```

#### student experience

None recorded.

#### task hash

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#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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]
```

#### notes

* Parsed prerequisite structure: (Bio Prereqs AND Stat Prereqs) OR Graduate Standing.
* Bio Prereqs are any of: 152, (101 AND 102), 130, or 381.
* Stat Prereqs are any of: 301 or 371.

#### root

n1

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
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      "profile_id": "rmp:2327115",
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]
```

### grades

```json
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    "not_reported": 0,
    "other": 0,
    "total": 28,
    "source_aliases": [
      "PLPATH 315"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "PLPATH 315",
    "course_uid": "course_bdda16fb1e867316fda3ca75",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Richard Lankau"
    ],
    "a": 27,
    "ab": 10,
    "b": 5,
    "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": [
      "PLPATH 315"
    ]
  }
]
```

### statistics

#### gpa

3.704

#### graded

233

#### counts

* 139
* 59
* 27
* 7
* 1
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_bdda16fb1e867316fda3ca75-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_bdda16fb1e867316fda3ca75-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_bdda16fb1e867316fda3ca75-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_bdda16fb1e867316fda3ca75-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_bdda16fb1e867316fda3ca75-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_bdda16fb1e867316fda3ca75-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.703862660944206

#### count

233

#### university

##### size

3309

##### gpa Percentile

43

##### count Percentile

69

##### median Count

124

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 10    | false   |
| 2.8–3.2 | 181   | false   |
| 3.2–3.6 | 819   | false   |
| 3.6–4.0 | 2299  | true    |

#### departments

```json
[
  {
    "subject": "PLPATH",
    "comparison": {
      "size": 10,
      "gpaPercentile": 67,
      "countPercentile": 89,
      "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": 0,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 3,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1194

##### term

1194

##### gpa

3.875

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| PLPATH  |            |

#### 1204

##### term

1204

##### gpa

3.717391304347826

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| PLPATH  |            |

#### 1224

##### term

1224

##### gpa

3.597826086956522

##### count

46

##### university

###### size

1171

###### gpa Percentile

47

###### count Percentile

31

###### 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   | true    |
| 3.6–4.0 | 616   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| PLPATH  |            |

#### 1234

##### term

1234

##### gpa

3.761904761904762

##### count

42

##### university

###### size

1188

###### gpa Percentile

64

###### count Percentile

26

###### 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 |
| ------- | ---------- |
| PLPATH  |            |

#### 1244

##### term

1244

##### gpa

3.5609756097560976

##### count

41

##### university

###### size

1241

###### gpa Percentile

39

###### 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   | true    |
| 3.6–4.0 | 706   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| PLPATH  |            |

#### 1254

##### term

1254

##### gpa

3.8333333333333335

##### count

27

##### departments

| subject | comparison |
| ------- | ---------- |
| PLPATH  |            |

#### 1264

##### term

1264

##### gpa

3.761904761904762

##### count

42

##### university

###### size

1283

###### gpa Percentile

58

###### count Percentile

24

###### 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 | 1     | false   |
| 2.4–2.8 | 20    | false   |
| 2.8–3.2 | 130   | false   |
| 3.2–3.6 | 343   | false   |
| 3.6–4.0 | 789   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| PLPATH  |            |

### benchmarks

#### all

##### school

###### size

3309

###### gpa

3.69494530024415

###### top Share

84.15308914222855

###### count

124

##### PLPATH

###### size

10

###### gpa

3.682999679006599

###### top Share

82.72706053589951

###### 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

##### 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_50d4ff455474de448893e8c0",
    "name": "RICHARD LANKAU",
    "count": 233,
    "terms": [
      {
        "term": "1194",
        "count": 12,
        "sections": 1,
        "gpa": 3.875
      },
      {
        "term": "1204",
        "count": 23,
        "sections": 1,
        "gpa": 3.717391304347826
      },
      {
        "term": "1224",
        "count": 46,
        "sections": 1,
        "gpa": 3.597826086956522
      },
      {
        "term": "1234",
        "count": 42,
        "sections": 1,
        "gpa": 3.761904761904762
      },
      {
        "term": "1244",
        "count": 41,
        "sections": 1,
        "gpa": 3.5609756097560976
      },
      {
        "term": "1254",
        "count": 27,
        "sections": 1,
        "gpa": 3.8333333333333335
      },
      {
        "term": "1264",
        "count": 42,
        "sections": 1,
        "gpa": 3.761904761904762
      }
    ]
  }
]
```

## following

None recorded.
