# NAVSCI 401: Naval Operations | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/NAVSCI_401)

## 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
* 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

06f46ad840b471c4cc8a53d0be5a6bd624a5307139fb35e285308bfcd47f45a8

### course id

NAVSCI 401

### course uid

course\_61db1aa4225f3c41f056cb38

### catalog version id

6e3a302239da9cdf6a14409724ffb2ab3716445936dd7bfe6a67271fedf0c366

### course number

401

### subjects

* NAVSCI

### title

NAVAL OPERATIONS

### description

In depth study of the professional and efficient operation of U.S. Navy ships. Fleet communications, tactical employment, relative motion plotting, seamanship, and a lecture series on Joint Warfare and the Employment of Naval Forces as an element of National Security Strategy. Open to non-ROTC students on a space available basis, with consent of instructor.

### requirements text

None

### credits min

3

### credits max

3

### credit offering ids

* 1272:672:013706

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

459ffddb794e66995c7f81f8ea645e5298cad879258e9603bc4b5cf4681390b5

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

NAVAL OPERATIONS covers the professional operation of U.S. Navy ships, including tactical employment, seamanship, and national security strategy.

### llm topics

* Fleet communications, tactical employment, relative motion plotting, and seamanship
* Joint Warfare and the Employment of Naval Forces as an element of National Security Strategy

### llm skills

* Professional and efficient operation of U.S. Navy ships
* Fleet communications, tactical employment, relative motion plotting, and seamanship
* Joint Warfare and the Employment of Naval Forces as an element of National Security Strategy

### llm assumed background

None recorded.

### llm search phrases

* Navy ship operations
* tactical employment
* Joint Warfare
* National Security Strategy
* seamanship
* relative motion plotting

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

1fe8e294b73565723fea3b18857c4a15b766684b08b74b8356b8864492f94136

#### course id

NAVSCI 401

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_b92687457c6a6f61fd89fa0a",
    "message": "No course-specific reviews available",
    "name": "Michael Breslin",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": [
      {
        "citations": [
          {
            "course_id": "NAVSCI 401",
            "run_id": "20260907T155543-ce3781c4",
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            "source_course_id": "c0395276-f108-35cf-bc1b-e98574c501a0",
            "source_record": {
              "entity_id": "c0395276-f108-35cf-bc1b-e98574c501a0",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Fall 2025: 3.71 GPA, 100.0% A/AB (n=7 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: 3.36 GPA, 71.4% A/AB (n=7 letter grades); Fall 2024: 3.83 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 3.71 GPA, 100.0% A/AB (n=7 letter grades).

```json
{
  "citations": [
    {
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      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
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        "file": "tables/observations.parquet",
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      "table": "grades_latest",
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      "table": "grades_latest",
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  ]
}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

MICHAEL BRESLIN is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "NAVSCI 401",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "c0395276-f108-35cf-bc1b-e98574c501a0",
      "source_record": {
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1262",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "None",
    "course": null,
    "evidence": "None",
    "id": "source_requirements",
    "kind": "condition"
  }
]
```

#### notes

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

#### root

source\_requirements

#### status

needs\_review

### instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name            | email               | first\_observed\_at              | last\_observed\_at               | instructor\_url               |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | --------------- | ------------------- | -------------------------------- | -------------------------------- | ----------------------------- |
| instructor\_b92687457c6a6f61fd89fa0a | enrollment | mpbreslin              | netid           | source\_identified | Michael Breslin | MPBRESLIN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MICHAEL\_BRESLIN |

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "course_uid": "course_61db1aa4225f3c41f056cb38",
    "term_id": "1272",
    "source_course_id": "013706",
    "source_subject_id": "672",
    "title": "Naval Operations",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:18343",
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    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 25,
    "enrolled": 6,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  }
]
```

### grade instructors

```json
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    "source": "madgrades",
    "source_instructor_id": "558793",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "PETER JOHN KIND",
    "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": {
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      "graded": 31,
      "counts": [
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        8,
        6,
        2,
        0,
        0,
        0
      ],
      "sections": 3
    },
    "instructor_url": "/instructors/PETER_JOHN_KIND--instructor_cc56a659e7c33ca1dec622ea"
  },
  {
    "instructor_uid": "instructor_ea08fd4dc06653043a8fb494",
    "source": "madgrades",
    "source_instructor_id": "4540521",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "JOHN BLACKFORD",
    "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": {
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      "graded": 33,
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        1
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    "source_instructor_id": "4784945",
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    "name": "ADAM DICKINSON",
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    "grade_statistics": {
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      "graded": 36,
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        0,
        0,
        0,
        0,
        0
      ],
      "sections": 5
    },
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    "grade_statistics": {
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      "graded": 38,
      "counts": [
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        10,
        8,
        3,
        0,
        0,
        0
      ],
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    },
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  },
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    "source": "madgrades",
    "source_instructor_id": "312458",
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    "name": "STEVEN LIGLER",
    "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",
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        3,
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      ],
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    "name": "CHRISTOPHER LINDAHL",
    "email": null,
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        0,
        0
      ],
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    "source_instructor_id": "5501895",
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    "identity_status": "source_identified",
    "name": "RYAN PETERSON",
    "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": 3.426,
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      "counts": [
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        12,
        0,
        0,
        0,
        0
      ],
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    "name": "JOHN BARRETT",
    "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": {
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      "quality": 4,
      "difficulty": 3,
      "quality_count": 3,
      "difficulty_count": 3,
      "profile_id": "rmp:1937830",
      "source_url": "https://www.ratemyprofessors.com/professor/1937830",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:31:54.258894+00:00",
      "courses": {
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          "quality": 4,
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          "quality_count": 3,
          "difficulty_count": 3
        }
      },
      "bayesian_quality": 3.7040745943883437,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.48,
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      "counts": [
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        22,
        17,
        5,
        0,
        0,
        1
      ],
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    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "TAYLOR EBERT",
    "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": {
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      "graded": 61,
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        0,
        0,
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      ],
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    },
    "instructor_url": "/instructors/TAYLOR_EBERT"
  },
  {
    "instructor_uid": "instructor_a01d5c5b56cbf8f56070bfd2",
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    "source_instructor_id": "4568666",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "JEREMY HEIMKE",
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    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
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      ],
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    },
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  },
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    "name": "ZACHARY SCHULER",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
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        0,
        2,
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        0,
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      "sections": 3
    },
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  },
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    "identity_basis": "source_id",
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      ],
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    },
    "instructor_url": "/instructors/ALEXANDER_FOX--instructor_2d5c5f7e30581bc20890c4af"
  },
  {
    "instructor_uid": "instructor_55320f8d5489905c3ac3a4f6",
    "source": "madgrades",
    "source_instructor_id": "6773148",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MICHAEL BRESLIN",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
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  },
  {
    "instructor_uid": "instructor_b92687457c6a6f61fd89fa0a",
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    "source_instructor_id": "mpbreslin",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Michael Breslin",
    "email": "MPBRESLIN@WISC.EDU",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/MICHAEL_BRESLIN"
  }
]
```

### grades

```json
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    "term_name": "Spring 2011",
    "instructors": [
      "ADAM DICKINSON"
    ],
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      "NAVSCI 401"
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  {
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    "instructors": [
      "BRADLEY BLANCHETTE"
    ],
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  },
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  },
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  {
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  {
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  },
  {
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  },
  {
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    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
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    ],
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  },
  {
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  },
  {
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    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 8,
    "source_aliases": [
      "NAVSCI 401"
    ]
  }
]
```

### statistics

#### gpa

3.78

#### graded

127

#### counts

* 88
* 26
* 10
* 2
* 1
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_61db1aa4225f3c41f056cb38-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_61db1aa4225f3c41f056cb38-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_61db1aa4225f3c41f056cb38-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_61db1aa4225f3c41f056cb38-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_61db1aa4225f3c41f056cb38-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_61db1aa4225f3c41f056cb38-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_61db1aa4225f3c41f056cb38-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_61db1aa4225f3c41f056cb38-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.779527559055118

#### count

127

#### university

##### size

4539

##### gpa Percentile

60

##### count Percentile

41

##### median Count

171

##### 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 | 375   | false   |
| 3.2–3.6 | 1346  | false   |
| 3.6–4.0 | 2800  | true    |

#### departments

```json
[
  {
    "subject": "NAVSCI",
    "comparison": {
      "size": 14,
      "gpaPercentile": 31,
      "countPercentile": 54,
      "medianCount": 106,
      "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": 0,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 14,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1072

##### term

1072

##### gpa

3.5454545454545454

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1082

##### term

1082

##### gpa

3.5833333333333335

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1094

##### term

1094

##### gpa

3.7777777777777777

##### count

9

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1104

##### term

1104

##### gpa

4

##### count

5

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1114

##### term

1114

##### gpa

3.9285714285714284

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1132

##### term

1132

##### gpa

3.5833333333333335

##### count

6

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1152

##### term

1152

##### gpa

4

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1162

##### term

1162

##### gpa

3.8333333333333335

##### count

6

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1172

##### term

1172

##### gpa

3.5

##### count

9

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1192

##### term

1192

##### gpa

4

##### count

10

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1202

##### term

1202

##### gpa

4

##### count

6

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1222

##### term

1222

##### gpa

4

##### count

8

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1232

##### term

1232

##### gpa

4

##### count

6

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1242

##### term

1242

##### gpa

3.357142857142857

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1252

##### term

1252

##### gpa

3.8333333333333335

##### count

6

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

#### 1262

##### term

1262

##### gpa

3.7142857142857144

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| NAVSCI  |            |

### benchmarks

#### all

##### school

###### size

4539

###### gpa

3.6461322133370944

###### top Share

80.9215966877292

###### count

171

##### NAVSCI

###### size

14

###### gpa

3.869428716219988

###### top Share

94.86074764558543

###### count

106

#### terms

##### 1072

###### school

###### size

723

###### gpa

3.344595727439471

###### top Share

62.012941427864526

###### count

67

##### 1082

###### school

###### size

723

###### gpa

3.3583896732335172

###### top Share

62.932746798940194

###### count

68

##### 1094

###### school

###### size

758

###### gpa

3.3891454428111527

###### top Share

64.36369814389255

###### count

71

##### 1104

###### school

###### size

793

###### gpa

3.384661458923085

###### top Share

64.6614752434143

###### count

66

##### 1114

###### school

###### size

804

###### gpa

3.3696004653806844

###### top Share

64.0389334741844

###### count

68

##### 1122

###### school

###### size

804

###### gpa

3.3737149752667013

###### top Share

63.65118790117902

###### count

70

##### 1132

###### school

###### size

851

###### gpa

3.391128778809763

###### top Share

64.69509437122704

###### count

66

##### 1142

###### school

###### size

853

###### gpa

3.3941849959684913

###### top Share

65.28450334228523

###### count

67

##### 1152

###### school

###### size

918

###### gpa

3.408733538594633

###### top Share

66.06693005846735

###### count

65

##### 1162

###### school

###### size

954

###### gpa

3.43726781345039

###### top Share

68.05645304987395

###### count

64.5

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

##### 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_cc56a659e7c33ca1dec622ea",
    "name": "PETER JOHN KIND",
    "count": 23,
    "terms": [
      {
        "term": "1072",
        "count": 11,
        "sections": 1,
        "gpa": 3.5454545454545454
      },
      {
        "term": "1082",
        "count": 12,
        "sections": 1,
        "gpa": 3.5833333333333335
      }
    ]
  },
  {
    "uid": "instructor_2d5c5f7e30581bc20890c4af",
    "name": "ALEXANDER FOX",
    "count": 19,
    "terms": [
      {
        "term": "1232",
        "count": 6,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1242",
        "count": 7,
        "sections": 1,
        "gpa": 3.357142857142857
      },
      {
        "term": "1252",
        "count": 6,
        "sections": 1,
        "gpa": 3.8333333333333335
      }
    ]
  },
  {
    "uid": "instructor_ea08fd4dc06653043a8fb494",
    "name": "JOHN BLACKFORD",
    "count": 14,
    "terms": [
      {
        "term": "1094",
        "count": 9,
        "sections": 1,
        "gpa": 3.7777777777777777
      },
      {
        "term": "1104",
        "count": 5,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_e82b1ecc83ea51b894016295",
    "name": "CHRISTOPHER LINDAHL",
    "count": 12,
    "terms": [
      {
        "term": "1152",
        "count": 12,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_bf48de0ad23f0298d1cea172",
    "name": "TAYLOR EBERT",
    "count": 10,
    "terms": [
      {
        "term": "1192",
        "count": 10,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_b2c36493f8f0ff4926648201",
    "name": "JOHN BARRETT",
    "count": 9,
    "terms": [
      {
        "term": "1172",
        "count": 9,
        "sections": 1,
        "gpa": 3.5
      }
    ]
  },
  {
    "uid": "instructor_59cbdf9f6328bfb8f0f75339",
    "name": "ZACHARY SCHULER",
    "count": 8,
    "terms": [
      {
        "term": "1222",
        "count": 8,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_36880a48c37463a4370b4b0b",
    "name": "ADAM DICKINSON",
    "count": 7,
    "terms": [
      {
        "term": "1114",
        "count": 7,
        "sections": 1,
        "gpa": 3.9285714285714284
      }
    ]
  },
  {
    "uid": "instructor_55320f8d5489905c3ac3a4f6",
    "name": "MICHAEL BRESLIN",
    "count": 7,
    "terms": [
      {
        "term": "1262",
        "count": 7,
        "sections": 1,
        "gpa": 3.7142857142857144
      }
    ]
  },
  {
    "uid": "instructor_6aa91dde5763f2e5b448d24d",
    "name": "BRADLEY BLANCHETTE",
    "count": 6,
    "terms": [
      {
        "term": "1132",
        "count": 6,
        "sections": 1,
        "gpa": 3.5833333333333335
      }
    ]
  },
  {
    "uid": "instructor_7e50ca6972f7e7c73b552749",
    "name": "RYAN PETERSON",
    "count": 6,
    "terms": [
      {
        "term": "1162",
        "count": 6,
        "sections": 1,
        "gpa": 3.8333333333333335
      }
    ]
  },
  {
    "uid": "instructor_a01d5c5b56cbf8f56070bfd2",
    "name": "JEREMY HEIMKE",
    "count": 6,
    "terms": [
      {
        "term": "1202",
        "count": 6,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
