# BSE 380: Introductory Data Science for the Agricultural and Life Sciences | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/BSE_380)

## 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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### 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   |
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| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
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| 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

9749c47694697a70efa0d41142e718f223dfd598c09554a408850472a91892a6

### course id

BSE 380

### course uid

course\_b1e74384649dc59474b8332a

### catalog version id

f6f6d6960397122982b40bf54bbf16601354fdaefbadd756a68d654941f457cb

### course number

380

### subjects

* BSE

### title

INTRODUCTORY DATA SCIENCE FOR THE AGRICULTURAL AND LIFE SCIENCES

### description

Agricultural and life scientists need to creatively apply physical, chemical, and biological principles to address technical, business, and environmental challenges. Many of these challenges involve numerical analyses, including the interpretation of large datasets. The fundamentals of computer coding using numerical software will be taught, using real-world data science challenges from the agricultural and life sciences.

### requirements text

(CHEM 103,109, or115) and (MATH 112,114, 217 or placement intoMATH 211or221)

### credits min

3

### credits max

3

### credit offering ids

* 1272:112:026085

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

9863d8b4d7213df151710b6b057265c16b9e4c0fccd503d50c3de90e854a5992

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Introductory data science course teaching coding and numerical analysis for agricultural and life sciences challenges.

### llm topics

* Numerical analyses
* Real-world data science challenges in agricultural and life sciences

### llm skills

* Computer coding using numerical software
* Interpretation of large datasets

### llm assumed background

* Calculus-level mathematics (MATH 211/221) or precalculus (MATH 112/114)
* Calculus-level mathematics (MATH 211/221) or precalculus (MATH 112/114)
* Calculus-level mathematics (MATH 211/221) or precalculus (MATH 112/114)
* Calculus-level mathematics (MATH 211/221) or precalculus (MATH 112/114)

### llm search phrases

* agricultural data science
* life sciences coding
* numerical software agriculture
* BSE 380 prerequisites

### llm requirements status

needs\_review

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

1c48afdc590065aa03e397941d4fb09ff6d51a277dc18ae6e6ec45f04e0b1ae1

#### course id

BSE 380

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_58b35b08e7c7ee851a2a75fd",
    "message": "No course-specific reviews available",
    "name": "Paul Stoy",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": "rmp:2682732",
    "summary": [
      {
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              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
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        ],
        "text": "Recent recorded grades — Fall 2023: 3.40 GPA, 75.6% A/AB (n=45 letter grades); Fall 2024: 3.50 GPA, 79.2% A/AB (n=48 letter grades); Fall 2025: 3.60 GPA, 78.7% A/AB (n=61 letter grades)."
      }
    ]
  }
]
```

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

true

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Fall 2023: 3.40 GPA, 75.6% A/AB (n=45 letter grades); Fall 2024: 3.50 GPA, 79.2% A/AB (n=48 letter grades); Fall 2025: 3.60 GPA, 78.7% A/AB (n=61 letter grades).

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      "table": "grades_latest",
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}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

PAUL STOY is recorded teaching in Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
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}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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    "condition": null,
    "course": null,
    "evidence": "(CHEM 103,109, or115) and (MATH 112,114, 217 or placement intoMATH 211or221)",
    "id": "n0",
    "kind": "all"
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    "condition": null,
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    "kind": "course"
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  {
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        "CHEM"
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      "timing": "prior"
    },
    "evidence": "109",
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    "kind": "course"
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  {
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      "minimum_grade": null,
      "subjects": [
        "CHEM"
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      "timing": "prior"
    },
    "evidence": "115",
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    "kind": "course"
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    "condition": null,
    "course": {
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      "minimum_grade": null,
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        "MATH"
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      "timing": "prior"
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    "evidence": "MATH 112",
    "id": "n6",
    "kind": "course"
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    "course": {
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      "minimum_grade": null,
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        "MATH"
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      "timing": "prior"
    },
    "evidence": "114",
    "id": "n7",
    "kind": "course"
  },
  {
    "children": [],
    "condition": "217",
    "course": null,
    "evidence": "217",
    "id": "n8",
    "kind": "condition"
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    "condition": "placement intoMATH 211or221",
    "course": null,
    "evidence": "placement intoMATH 211or221",
    "id": "n9",
    "kind": "condition"
  }
]
```

#### notes

* MATH 217 is included as a condition node as it is not found in source links.

#### root

n0

#### status

needs\_review

### instructors

```json
[
  {
    "instructor_uid": "instructor_58b35b08e7c7ee851a2a75fd",
    "source": "enrollment",
    "source_instructor_id": "pcstoy",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Paul Stoy",
    "email": "PCSTOY@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",
    "ratings": {
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      "quality": 5,
      "difficulty": 2.75,
      "quality_count": 4,
      "difficulty_count": 4,
      "profile_id": "rmp:2682732",
      "source_url": "https://www.ratemyprofessors.com/professor/2682732",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:12:20.342075+00:00",
      "courses": {
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      "prior_weight": 20
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    "instructor_url": "/instructors/PAUL_STOY"
  }
]
```

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:112:026085",
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    "course_uid": "course_b1e74384649dc59474b8332a",
    "term_id": "1272",
    "source_course_id": "026085",
    "source_subject_id": "112",
    "title": "Introductory Data Science for the Agricultural and Life Sciences",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
```

### sections

```json
[
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    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:22935",
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    "identity_basis": "class_number",
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    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 65,
    "enrolled": 64,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
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]
```

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_325e4743fce02e5c4e341049",
    "source": "madgrades",
    "source_instructor_id": "800668",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "PAUL STOY",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 4,
      "quality": 5,
      "difficulty": 2.75,
      "quality_count": 4,
      "difficulty_count": 4,
      "profile_id": "rmp:2682732",
      "source_url": "https://www.ratemyprofessors.com/professor/2682732",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:12:20.342075+00:00",
      "courses": {
        "course_eed3c9f536e42df4ae917922": {
          "review_count": 4,
          "quality": 5,
          "difficulty": 2.75,
          "quality_count": 4,
          "difficulty_count": 4
        }
      },
      "bayesian_quality": 3.8830714862888294,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.633,
      "graded": 452,
      "counts": [
        282,
        89,
        44,
        21,
        8,
        2,
        6
      ],
      "sections": 42
    },
    "instructor_url": "/instructors/PAUL_STOY--instructor_325e4743fce02e5c4e341049"
  },
  {
    "instructor_uid": "instructor_58b35b08e7c7ee851a2a75fd",
    "source": "enrollment",
    "source_instructor_id": "pcstoy",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Paul Stoy",
    "email": "PCSTOY@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",
    "ratings": {
      "review_count": 4,
      "quality": 5,
      "difficulty": 2.75,
      "quality_count": 4,
      "difficulty_count": 4,
      "profile_id": "rmp:2682732",
      "source_url": "https://www.ratemyprofessors.com/professor/2682732",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:12:20.342075+00:00",
      "courses": {
        "course_eed3c9f536e42df4ae917922": {
          "review_count": 4,
          "quality": 5,
          "difficulty": 2.75,
          "quality_count": 4,
          "difficulty_count": 4
        }
      },
      "bayesian_quality": 3.8830714862888294,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/PAUL_STOY"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BSE 380",
    "course_uid": "course_b1e74384649dc59474b8332a",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "Paul Stoy"
    ],
    "a": 12,
    "ab": 6,
    "b": 3,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 2,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 23,
    "source_aliases": [
      "BSE 380"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BSE 380",
    "course_uid": "course_b1e74384649dc59474b8332a",
    "term_id": "1232",
    "term_name": "Fall 2022",
    "instructors": [
      "Paul Stoy"
    ],
    "a": 15,
    "ab": 2,
    "b": 3,
    "bc": 0,
    "c": 1,
    "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": 21,
    "source_aliases": [
      "BSE 380"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BSE 380",
    "course_uid": "course_b1e74384649dc59474b8332a",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "Paul Stoy"
    ],
    "a": 28,
    "ab": 6,
    "b": 5,
    "bc": 2,
    "c": 0,
    "d": 0,
    "f": 4,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 45,
    "source_aliases": [
      "BSE 380"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BSE 380",
    "course_uid": "course_b1e74384649dc59474b8332a",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Paul Stoy"
    ],
    "a": 30,
    "ab": 8,
    "b": 6,
    "bc": 0,
    "c": 0,
    "d": 2,
    "f": 2,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 48,
    "source_aliases": [
      "BSE 380"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BSE 380",
    "course_uid": "course_b1e74384649dc59474b8332a",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Paul Stoy"
    ],
    "a": 32,
    "ab": 16,
    "b": 8,
    "bc": 3,
    "c": 2,
    "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": 61,
    "source_aliases": [
      "BSE 380"
    ]
  }
]
```

### statistics

#### gpa

3.554

#### graded

196

#### counts

* 117
* 38
* 25
* 5
* 3
* 2
* 6

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b1e74384649dc59474b8332a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b1e74384649dc59474b8332a-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b1e74384649dc59474b8332a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b1e74384649dc59474b8332a-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_b1e74384649dc59474b8332a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_b1e74384649dc59474b8332a-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b1e74384649dc59474b8332a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b1e74384649dc59474b8332a-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.5535714285714284

#### count

196

#### university

##### size

2928

##### gpa Percentile

27

##### count Percentile

67

##### 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 | 1     | false   |
| 2.4–2.8 | 10    | false   |
| 2.8–3.2 | 180   | false   |
| 3.2–3.6 | 745   | true    |
| 3.6–4.0 | 1992  | false   |

#### departments

```json
[
  {
    "subject": "BSE",
    "comparison": {
      "size": 11,
      "gpaPercentile": 50,
      "countPercentile": 80,
      "medianCount": 133,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 4,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1222

##### term

1222

##### gpa

3.7142857142857144

##### count

21

##### departments

| subject | comparison |
| ------- | ---------- |
| BSE     |            |

#### 1232

##### term

1232

##### gpa

3.7142857142857144

##### count

21

##### departments

| subject | comparison |
| ------- | ---------- |
| BSE     |            |

#### 1242

##### term

1242

##### gpa

3.4

##### count

45

##### university

###### size

1295

###### gpa Percentile

27

###### count Percentile

31

###### 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

| subject | comparison |
| ------- | ---------- |
| BSE     |            |

#### 1252

##### term

1252

##### gpa

3.5

##### count

48

##### university

###### size

1333

###### gpa Percentile

32

###### count Percentile

32

###### median Count

69

###### histogram

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

##### departments

| subject | comparison |
| ------- | ---------- |
| BSE     |            |

#### 1262

##### term

1262

##### gpa

3.598360655737705

##### count

61

##### university

###### size

1320

###### gpa Percentile

39

###### count Percentile

42

###### 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   | true    |
| 3.6–4.0 | 797   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| BSE     |            |

### benchmarks

#### all

##### school

###### size

2928

###### gpa

3.6868346571627475

###### top Share

83.66514315684641

###### count

115

##### BSE

###### size

11

###### gpa

3.469245489430804

###### top Share

72.20225412842802

###### count

133

#### terms

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

## instructor Trends

```json
[
  {
    "uid": "instructor_325e4743fce02e5c4e341049",
    "name": "PAUL STOY",
    "count": 196,
    "terms": [
      {
        "term": "1222",
        "count": 21,
        "sections": 1,
        "gpa": 3.7142857142857144
      },
      {
        "term": "1232",
        "count": 21,
        "sections": 1,
        "gpa": 3.7142857142857144
      },
      {
        "term": "1242",
        "count": 45,
        "sections": 1,
        "gpa": 3.4
      },
      {
        "term": "1252",
        "count": 48,
        "sections": 1,
        "gpa": 3.5
      },
      {
        "term": "1262",
        "count": 61,
        "sections": 1,
        "gpa": 3.598360655737705
      }
    ]
  }
]
```

## following

| code    | title                                  |
| ------- | -------------------------------------- |
| BSE 405 | ARTIFICIAL INTELLIGENCE IN AGRICULTURE |
