# MATH 375: Topics in Multi-variable Calculus and Linear Algebra | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/MATH_375)

## Dataset

### revision

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### repository

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### schema version

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### built at

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false

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### term

1272

### departments

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| RADIOL    | 11    |
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| RELIGST   | 90    |
| RHABMED   | 9     |
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| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
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## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

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### course id

MATH 375

### course uid

course\_5d98ff5f6adce2207e394dc6

### catalog version id

124887a1af2a18c15b88052cf6a089ef00def6d7b0e266d7e5db25454a9fbb27

### course number

375

### subjects

* MATH

### title

TOPICS IN MULTI-VARIABLE CALCULUS AND LINEAR ALGEBRA

### description

Vector spaces and linear transformations, differential calculus of scalar and vector fields, determinants, eigenvalues and eigenvectors, multiple integrals, line integrals, and surface integrals. Freshmen students are invited to enroll by the Department of Mathematics.

### requirements text

Consent of Instructor

### credits min

5

### credits max

5

### credit offering ids

* 1272:600:011636

### llm job id

enrich-ecec1f3f4caeb54e8f45ffe2

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### llm model revision

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### llm task version

14

### llm search status

valid

### llm summary

MATH 375 covers advanced topics in multi-variable calculus and linear algebra, including vector spaces, differential calculus, and integration techniques.

### llm topics

* Vector spaces and linear transformations
* Differential calculus of scalar and vector fields
* Determinants, eigenvalues, and eigenvectors
* Multiple, line, and surface integrals

### llm skills

* Understanding vector spaces and linear transformations
* Performing differential calculus on scalar and vector fields
* Computing determinants, eigenvalues, and eigenvectors
* Evaluating multiple, line, and surface integrals

### llm assumed background

None recorded.

### llm search phrases

* multi-variable calculus linear algebra topics
* MATH 375 vector spaces differential calculus
* linear algebra advanced calculus UW Madison

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

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#### course id

MATH 375

#### current instructors

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#### difficulty workload

The course is considered hard, with long weekly homework assignments that take significant time. Exams are viewed as fair and related to the homework content.

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```

#### errors

None recorded.

#### historical context

None recorded.

#### offered

true

#### profile hash

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#### quick take

Saverio Spagnolie is described as enthusiastic and passionate, with clear explanations that help students understand difficult material. Reviewers note his fairness in grading and recommend attending office hours for support.

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Recent recorded grades — Fall 2023: 3.89 GPA, 92.0% A/AB (n=50 letter grades); Fall 2024: 3.43 GPA, 64.0% A/AB (n=50 letter grades); Fall 2025: 3.37 GPA, 57.4% A/AB (n=47 letter grades).

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#### student experience

Reviewers appreciate Spagnolie's excellent lectures and accessibility on Piazza. His clear explanations and care for student understanding are highlighted as key strengths.

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      "instructor_name": "Saverio Spagnolie",
      "review_date": "2025-12-26 04:52:58 +0000 UTC",
      "review_id": "8658d4bd7f34ad813564cb2c",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2045894",
      "source_review_id": "UmF0aW5nLTQyMzk5MjQy",
      "source_url": "https://www.ratemyprofessors.com/professor/2045894",
      "type": "review"
    },
    {
      "instructor_name": "Saverio Spagnolie",
      "review_date": "2026-06-14 14:04:11 +0000 UTC",
      "review_id": "6e9e42776b1f1727c62d107e",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2045894",
      "source_review_id": "UmF0aW5nLTQzMjQ3OTA1",
      "source_url": "https://www.ratemyprofessors.com/professor/2045894",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

ALEXANDER NAGEL is recorded teaching in Fall 2007, Fall 2012. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1082",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1132",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1132",
      "type": "grade"
    }
  ]
}
```

AUTUMN KENT is recorded teaching in Fall 2020, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1212",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1242",
      "type": "grade"
    }
  ]
}
```

CAGLAR UYANIK is recorded teaching in Fall 2021, Fall 2022, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1222",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1232",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1252",
      "type": "grade"
    }
  ]
}
```

GHEORGHE CRACIUN is recorded teaching in Fall 2011. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1122",
      "type": "grade"
    }
  ]
}
```

GLORIA MARI-BEFFA is recorded teaching in Fall 2006, Fall 2011. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1072",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1122",
      "type": "grade"
    }
  ]
}
```

HUNG TRAN is recorded teaching in Fall 2018. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1192",
      "type": "grade"
    }
  ]
}
```

LAURENTIU MAXIM is recorded teaching in Fall 2014, Fall 2016. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1152",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1172",
      "type": "grade"
    }
  ]
}
```

SAVERIO SPAGNOLIE is recorded teaching in Fall 2013, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1142",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1142",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1262",
      "type": "grade"
    }
  ]
}
```

SEAN PAUL is recorded teaching in Fall 2008. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1092",
      "type": "grade"
    }
  ]
}
```

SERGUEI DENISSOV is recorded teaching in Fall 2019. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1202",
      "type": "grade"
    },
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1202",
      "type": "grade"
    }
  ]
}
```

SIGURD ANGENENT is recorded teaching in Fall 2017. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1182",
      "type": "grade"
    }
  ]
}
```

TULLIA DYMARZ is recorded teaching in Fall 2015. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "MATH 375",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
      "source_record": {
        "entity_id": "f607c55b-e73f-3f0e-9677-3cc51e7d4da0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1162",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "Consent of Instructor",
    "course": null,
    "evidence": "Consent of Instructor",
    "id": "n0",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

```json
[
  {
    "instructor_uid": "instructor_96e8f96890d848dd8a5ae254",
    "source": "enrollment",
    "source_instructor_id": "hmao23",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Hanzhang Mao",
    "email": "HMAO23@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",
    "instructor_url": "/instructors/HANZHANG_MAO"
  },
  {
    "instructor_uid": "instructor_fb0089f6535bf484f3132ce8",
    "source": "enrollment",
    "source_instructor_id": "spagnolie",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Saverio Spagnolie",
    "email": "SPAGNOLIE@MATH.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": 54,
      "quality": 4.3,
      "difficulty": 3.8,
      "quality_count": 54,
      "difficulty_count": 54,
      "profile_id": "rmp:2045894",
      "source_url": "https://www.ratemyprofessors.com/professor/2045894",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:06:46.608082+00:00",
      "courses": {
        "course_5d98ff5f6adce2207e394dc6": {
          "review_count": 6,
          "quality": 4.83,
          "difficulty": 4,
          "quality_count": 6,
          "difficulty_count": 6
        },
        "course_82c0e2f81301acacf0a46a15": {
          "review_count": 6,
          "quality": 5,
          "difficulty": 3.5,
          "quality_count": 6,
          "difficulty_count": 6
        },
        "course_6bc496e4640fd08f71e1b041": {
          "review_count": 33,
          "quality": 4,
          "difficulty": 3.82,
          "quality_count": 33,
          "difficulty_count": 33
        },
        "course_f237678d9fac59631b4aa4ff": {
          "review_count": 2,
          "quality": 5,
          "difficulty": 4,
          "quality_count": 2,
          "difficulty_count": 2
        },
        "course_0002a781bc9543f3a2ac1a94": {
          "review_count": 6,
          "quality": 4.5,
          "difficulty": 3.67,
          "quality_count": 6,
          "difficulty_count": 6
        }
      },
      "bayesian_quality": 4.126942103661242,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/SAVERIO_SPAGNOLIE"
  }
]
```

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:600:011636",
    "course_id": "MATH 375",
    "course_uid": "course_5d98ff5f6adce2207e394dc6",
    "term_id": "1272",
    "source_course_id": "011636",
    "source_subject_id": "600",
    "title": "Topics in Multi-Variable Calculus and Linear Algebra",
    "credits_min": 5,
    "credits_max": 5,
    "typically_offered": "Fall"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:12551",
    "term_id": "1272",
    "source_section_id": "12551",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 60,
    "enrolled": 34,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:15842",
    "term_id": "1272",
    "source_section_id": "15842",
    "identity_basis": "class_number",
    "section_number": "301",
    "section_type": "DIS",
    "instruction_mode": "Classroom Instruction",
    "capacity": 18,
    "enrolled": 18,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:34277",
    "term_id": "1272",
    "source_section_id": "34277",
    "identity_basis": "class_number",
    "section_number": "302",
    "section_type": "DIS",
    "instruction_mode": "Classroom Instruction",
    "capacity": 18,
    "enrolled": 16,
    "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
[
  {
    "instructor_uid": "instructor_b9a630b0e3b3db4a0fe1de98",
    "source": "madgrades",
    "source_instructor_id": "2601610",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "GLORIA MARI-BEFFA",
    "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": 66,
      "quality": 3.06,
      "difficulty": 3.95,
      "quality_count": 66,
      "difficulty_count": 66,
      "profile_id": "rmp:593639",
      "source_url": "https://www.ratemyprofessors.com/professor/593639",
      "match_basis": "exact_name",
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### grades

```json
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]
```

### statistics

#### gpa

3.338

#### graded

1002

#### counts

* 424
* 207
* 182
* 84
* 74
* 20
* 11

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_5d98ff5f6adce2207e394dc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_5d98ff5f6adce2207e394dc6-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_5d98ff5f6adce2207e394dc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_5d98ff5f6adce2207e394dc6-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_5d98ff5f6adce2207e394dc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_5d98ff5f6adce2207e394dc6-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_5d98ff5f6adce2207e394dc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_5d98ff5f6adce2207e394dc6-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_5d98ff5f6adce2207e394dc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_5d98ff5f6adce2207e394dc6-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.3378243512974053

#### count

1002

#### university

##### size

4146

##### gpa Percentile

15

##### count Percentile

86

##### median Count

193

##### 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 | 326   | false   |
| 3.2–3.6 | 1185  | true    |
| 3.6–4.0 | 2625  | false   |

#### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 97,
      "gpaPercentile": 40,
      "countPercentile": 74,
      "medianCount": 297,
      "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
        },
        {
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          "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": 2,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 31,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 16,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 48,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1072

##### term

1072

##### gpa

3.13953488372093

##### count

43

##### university

###### size

723

###### gpa Percentile

29

###### count Percentile

27

###### 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 | 1     | false   |
| 2.4–2.8 | 62    | false   |
| 2.8–3.2 | 174   | true    |
| 3.2–3.6 | 306   | false   |
| 3.6–4.0 | 180   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 21,
      "gpaPercentile": 80,
      "countPercentile": 25,
      "medianCount": 115,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 10,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 6,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 3,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 1,
          "current": false
        }
      ]
    }
  }
]
```

#### 1082

##### term

1082

##### gpa

3.396551724137931

##### count

58

##### university

###### size

723

###### gpa Percentile

56

###### count Percentile

41

###### median Count

68

###### 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 | 51    | false   |
| 2.8–3.2 | 202   | false   |
| 3.2–3.6 | 265   | true    |
| 3.6–4.0 | 204   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 20,
      "gpaPercentile": 100,
      "countPercentile": 16,
      "medianCount": 122,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 9,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 3,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 0,
          "current": false
        }
      ]
    }
  }
]
```

#### 1092

##### term

1092

##### gpa

3.2196969696969697

##### count

66

##### university

###### size

732

###### gpa Percentile

36

###### count Percentile

47

###### 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 | 41    | false   |
| 2.8–3.2 | 208   | false   |
| 3.2–3.6 | 271   | true    |
| 3.6–4.0 | 211   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 22,
      "gpaPercentile": 95,
      "countPercentile": 38,
      "medianCount": 131,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 9,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 10,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 1,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 1,
          "current": false
        }
      ]
    }
  }
]
```

#### 1102

##### term

1102

##### gpa

3.2027027027027026

##### count

37

##### university

###### size

774

###### gpa Percentile

33

###### count Percentile

14

###### 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 | 1     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 49    | false   |
| 2.8–3.2 | 201   | false   |
| 3.2–3.6 | 287   | true    |
| 3.6–4.0 | 235   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 27,
      "gpaPercentile": 77,
      "countPercentile": 15,
      "medianCount": 76,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 8,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 11,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 7,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 0,
          "current": false
        }
      ]
    }
  }
]
```

#### 1112

##### term

1112

##### gpa

3.255813953488372

##### count

43

##### university

###### size

805

###### gpa Percentile

39

###### count Percentile

27

###### 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 | 45    | false   |
| 2.8–3.2 | 218   | false   |
| 3.2–3.6 | 316   | true    |
| 3.6–4.0 | 225   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 26,
      "gpaPercentile": 84,
      "countPercentile": 20,
      "medianCount": 87,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 7,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 12,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 1,
          "current": false
        }
      ]
    }
  }
]
```

#### 1122

##### term

1122

##### gpa

3.232142857142857

##### count

56

##### university

###### size

804

###### gpa Percentile

36

###### count Percentile

40

###### 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 | 3     | false   |
| 2.4–2.8 | 47    | false   |
| 2.8–3.2 | 224   | false   |
| 3.2–3.6 | 282   | true    |
| 3.6–4.0 | 248   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 27,
      "gpaPercentile": 92,
      "countPercentile": 31,
      "medianCount": 103,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 9,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 14,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 3,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 0,
          "current": false
        }
      ]
    }
  }
]
```

#### 1132

##### term

1132

##### gpa

3.389830508474576

##### count

59

##### university

###### size

851

###### gpa Percentile

51

###### count Percentile

45

###### 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 | 2     | false   |
| 2.4–2.8 | 40    | false   |
| 2.8–3.2 | 234   | false   |
| 3.2–3.6 | 303   | true    |
| 3.6–4.0 | 272   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 25,
      "gpaPercentile": 92,
      "countPercentile": 33,
      "medianCount": 108,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 5,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 15,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 4,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 0,
          "current": false
        }
      ]
    }
  }
]
```

#### 1142

##### term

1142

##### gpa

3.0714285714285716

##### count

42

##### university

###### size

853

###### gpa Percentile

21

###### count Percentile

24

###### 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 | 4     | false   |
| 2.4–2.8 | 33    | false   |
| 2.8–3.2 | 228   | true    |
| 3.2–3.6 | 320   | false   |
| 3.6–4.0 | 268   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 31,
      "gpaPercentile": 60,
      "countPercentile": 20,
      "medianCount": 77,
      "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": 2,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 8,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 10,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 9,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 2,
          "current": false
        }
      ]
    }
  }
]
```

#### 1152

##### term

1152

##### gpa

2.89

##### count

50

##### university

###### size

918

###### gpa Percentile

7

###### count Percentile

35

###### 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 | 1     | false   |
| 2.4–2.8 | 33    | false   |
| 2.8–3.2 | 227   | true    |
| 3.2–3.6 | 371   | false   |
| 3.6–4.0 | 286   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 34,
      "gpaPercentile": 30,
      "countPercentile": 27,
      "medianCount": 82,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 5,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 15,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 9,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 4,
          "current": false
        }
      ]
    }
  }
]
```

#### 1162

##### term

1162

##### gpa

3.373134328358209

##### count

67

##### university

###### size

954

###### gpa Percentile

43

###### count Percentile

51

###### median Count

64.5

###### 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 | 23    | false   |
| 2.8–3.2 | 234   | false   |
| 3.2–3.6 | 350   | true    |
| 3.6–4.0 | 345   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 36,
      "gpaPercentile": 83,
      "countPercentile": 46,
      "medianCount": 74.5,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 3,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 20,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 9,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1172

##### term

1172

##### gpa

3.402173913043478

##### count

46

##### university

###### size

991

###### gpa Percentile

43

###### count Percentile

30

###### 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 | 0     | false   |
| 2.4–2.8 | 22    | false   |
| 2.8–3.2 | 226   | false   |
| 3.2–3.6 | 353   | true    |
| 3.6–4.0 | 390   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 36,
      "gpaPercentile": 83,
      "countPercentile": 20,
      "medianCount": 66,
      "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": 4,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 21,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1182

##### term

1182

##### gpa

3.5089285714285716

##### count

56

##### university

###### size

1025

###### gpa Percentile

50

###### count Percentile

38

###### 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 | 1     | false   |
| 2.4–2.8 | 21    | false   |
| 2.8–3.2 | 216   | false   |
| 3.2–3.6 | 369   | true    |
| 3.6–4.0 | 418   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 36,
      "gpaPercentile": 91,
      "countPercentile": 29,
      "medianCount": 80,
      "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": 5,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 21,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 7,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1192

##### term

1192

##### gpa

3.4477611940298507

##### count

67

##### university

###### size

1077

###### gpa Percentile

41

###### count Percentile

50

###### 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 | 1     | false   |
| 2.4–2.8 | 22    | false   |
| 2.8–3.2 | 203   | false   |
| 3.2–3.6 | 370   | true    |
| 3.6–4.0 | 481   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 39,
      "gpaPercentile": 89,
      "countPercentile": 34,
      "medianCount": 99,
      "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": 4,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 24,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1202

##### term

1202

##### gpa

3.127906976744186

##### count

43

##### university

###### size

1102

###### gpa Percentile

16

###### count Percentile

26

###### median Count

68

###### 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 | 14    | false   |
| 2.8–3.2 | 218   | true    |
| 3.2–3.6 | 371   | false   |
| 3.6–4.0 | 498   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 40,
      "gpaPercentile": 64,
      "countPercentile": 26,
      "medianCount": 90.5,
      "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": 4,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 24,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 7,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 5,
          "current": false
        }
      ]
    }
  }
]
```

#### 1212

##### term

1212

##### gpa

3.4166666666666665

##### count

30

##### university

###### size

1111

###### gpa Percentile

28

###### count Percentile

0

###### median Count

68

###### 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 | 4     | false   |
| 2.8–3.2 | 159   | false   |
| 3.2–3.6 | 337   | true    |
| 3.6–4.0 | 611   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 41,
      "gpaPercentile": 58,
      "countPercentile": 0,
      "medianCount": 87,
      "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": 2,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 18,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 12,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": false
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.4166666666666665

##### count

42

##### university

###### size

1157

###### gpa Percentile

32

###### count Percentile

26

###### 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 | 1     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 351   | true    |
| 3.6–4.0 | 614   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 39,
      "gpaPercentile": 74,
      "countPercentile": 13,
      "medianCount": 63,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 5,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 13,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 12,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1232

##### term

1232

##### gpa

3.44

##### count

50

##### university

###### size

1216

###### gpa Percentile

31

###### count Percentile

36

###### 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 | 2     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 356   | true    |
| 3.6–4.0 | 670   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 43,
      "gpaPercentile": 69,
      "countPercentile": 38,
      "medianCount": 69,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 4,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 17,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 14,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": false
        }
      ]
    }
  }
]
```

#### 1242

##### term

1242

##### gpa

3.89

##### count

50

##### university

###### size

1295

###### gpa Percentile

79

###### count Percentile

37

###### 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   | false   |
| 3.6–4.0 | 726   | true    |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 43,
      "gpaPercentile": 90,
      "countPercentile": 38,
      "medianCount": 80,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 4,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 17,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 13,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": true
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.43

##### count

50

##### university

###### size

1333

###### gpa Percentile

25

###### count Percentile

35

###### 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

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 43,
      "gpaPercentile": 76,
      "countPercentile": 31,
      "medianCount": 74,
      "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": 5,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 20,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 16,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 2,
          "current": false
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.372340425531915

##### count

47

##### university

###### size

1320

###### gpa Percentile

20

###### count Percentile

29

###### 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

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 43,
      "gpaPercentile": 69,
      "countPercentile": 26,
      "medianCount": 81,
      "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": 3,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 18,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 16,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

4146

###### gpa

3.655576857310451

###### top Share

81.61127984016484

###### count

193

##### MATH

###### size

97

###### gpa

3.5110850672888794

###### top Share

72.940720357223

###### count

297

#### terms

##### 1072

###### school

###### size

723

###### gpa

3.344595727439471

###### top Share

62.012941427864526

###### count

67

###### MATH

###### size

21

###### gpa

2.878188611674867

###### top Share

40.4748751710427

###### count

115

##### 1082

###### school

###### size

723

###### gpa

3.3583896732335172

###### top Share

62.932746798940194

###### count

68

###### MATH

###### size

20

###### gpa

2.8603540012311925

###### top Share

39.28661748894661

###### count

122

##### 1092

###### school

###### size

732

###### gpa

3.374660709520374

###### top Share

63.690339324346596

###### count

70

###### MATH

###### size

22

###### gpa

2.8820162698417926

###### top Share

39.71597770466243

###### count

131

##### 1102

###### school

###### size

774

###### gpa

3.36712622366007

###### top Share

63.703228532165696

###### count

67

###### MATH

###### size

27

###### gpa

2.936619140855453

###### top Share

42.28372460948232

###### count

76

##### 1112

###### school

###### size

805

###### gpa

3.3737773184830386

###### top Share

63.91039244872789

###### count

66

###### MATH

###### size

26

###### gpa

2.9941347625171355

###### top Share

43.79682105650899

###### count

87

##### 1122

###### school

###### size

804

###### gpa

3.3737149752667013

###### top Share

63.65118790117902

###### count

70

###### MATH

###### size

27

###### gpa

2.898067749128924

###### top Share

42.09489165698714

###### count

103

##### 1132

###### school

###### size

851

###### gpa

3.391128778809763

###### top Share

64.69509437122704

###### count

66

###### MATH

###### size

25

###### gpa

2.9605395515107897

###### top Share

42.794601137643824

###### count

108

##### 1142

###### school

###### size

853

###### gpa

3.3941849959684913

###### top Share

65.28450334228523

###### count

67

###### MATH

###### size

31

###### gpa

3.009040780059457

###### top Share

45.87481076818359

###### count

77

##### 1152

###### school

###### size

918

###### gpa

3.408733538594633

###### top Share

66.06693005846735

###### count

65

###### MATH

###### size

34

###### gpa

3.0803080141506425

###### top Share

49.72677618758506

###### count

82

##### 1162

###### school

###### size

954

###### gpa

3.43726781345039

###### top Share

68.05645304987395

###### count

64.5

###### MATH

###### size

36

###### gpa

3.1059509777204544

###### top Share

50.071044743474

###### count

74.5

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

###### MATH

###### size

36

###### gpa

3.098601909983034

###### top Share

48.67573746500224

###### count

66

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

###### MATH

###### size

36

###### gpa

3.0839531022443034

###### top Share

48.116975859522796

###### count

80

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

###### MATH

###### size

39

###### gpa

3.1003216533236415

###### top Share

50.01588968281552

###### count

99

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

###### MATH

###### size

40

###### gpa

3.1467748801316944

###### top Share

52.57847974231038

###### count

90.5

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

###### MATH

###### size

41

###### gpa

3.3211331103538813

###### top Share

59.85093623917685

###### count

87

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

###### MATH

###### size

39

###### gpa

3.2083447119296955

###### top Share

56.75007696473496

###### count

63

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

###### MATH

###### size

43

###### gpa

3.2486774162409366

###### top Share

56.56203211471963

###### count

69

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### MATH

###### size

43

###### gpa

3.2449031633350183

###### top Share

58.03783489438137

###### count

80

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### MATH

###### size

43

###### gpa

3.185692541204979

###### top Share

54.14175342403773

###### count

74

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### MATH

###### size

43

###### gpa

3.2481769276584003

###### top Share

56.325967864851854

###### count

81

## instructor Trends

```json
[
  {
    "uid": "instructor_18ef1d7d9b98466965984778",
    "name": "CAGLAR UYANIK",
    "count": 142,
    "terms": [
      {
        "term": "1222",
        "count": 42,
        "sections": 1,
        "gpa": 3.4166666666666665
      },
      {
        "term": "1232",
        "count": 50,
        "sections": 1,
        "gpa": 3.44
      },
      {
        "term": "1252",
        "count": 50,
        "sections": 1,
        "gpa": 3.43
      }
    ]
  },
  {
    "uid": "instructor_f00d358fd7c1650bfb3e8b33",
    "name": "ALEXANDER NAGEL",
    "count": 99,
    "terms": [
      {
        "term": "1082",
        "count": 40,
        "sections": 1,
        "gpa": 3.6
      },
      {
        "term": "1132",
        "count": 59,
        "sections": 2,
        "gpa": 3.389830508474576
      }
    ]
  },
  {
    "uid": "instructor_49a66e28b37e5752a789849c",
    "name": "LAURENTIU MAXIM",
    "count": 96,
    "terms": [
      {
        "term": "1152",
        "count": 50,
        "sections": 1,
        "gpa": 2.89
      },
      {
        "term": "1172",
        "count": 46,
        "sections": 1,
        "gpa": 3.402173913043478
      }
    ]
  },
  {
    "uid": "instructor_ec22b3679a357165d2295d3a",
    "name": "SAVERIO SPAGNOLIE",
    "count": 89,
    "terms": [
      {
        "term": "1142",
        "count": 42,
        "sections": 2,
        "gpa": 3.0714285714285716
      },
      {
        "term": "1262",
        "count": 47,
        "sections": 1,
        "gpa": 3.372340425531915
      }
    ]
  },
  {
    "uid": "instructor_cfd7c53959806f45e66d2292",
    "name": "AUTUMN KENT",
    "count": 80,
    "terms": [
      {
        "term": "1212",
        "count": 30,
        "sections": 1,
        "gpa": 3.4166666666666665
      },
      {
        "term": "1242",
        "count": 50,
        "sections": 1,
        "gpa": 3.89
      }
    ]
  },
  {
    "uid": "instructor_b9a630b0e3b3db4a0fe1de98",
    "name": "GLORIA MARI-BEFFA",
    "count": 78,
    "terms": [
      {
        "term": "1072",
        "count": 43,
        "sections": 1,
        "gpa": 3.13953488372093
      },
      {
        "term": "1122",
        "count": 35,
        "sections": 1,
        "gpa": 3.1142857142857143
      }
    ]
  },
  {
    "uid": "instructor_bc7acc9f38e7d8108854c8c5",
    "name": "TULLIA DYMARZ",
    "count": 67,
    "terms": [
      {
        "term": "1162",
        "count": 67,
        "sections": 1,
        "gpa": 3.373134328358209
      }
    ]
  },
  {
    "uid": "instructor_c4e84539220abff29c5c6b21",
    "name": "HUNG TRAN",
    "count": 67,
    "terms": [
      {
        "term": "1192",
        "count": 67,
        "sections": 1,
        "gpa": 3.4477611940298507
      }
    ]
  },
  {
    "uid": "instructor_c0289d403f78c76ec800e7ea",
    "name": "BRIAN STREET",
    "count": 63,
    "terms": [
      {
        "term": "1102",
        "count": 37,
        "sections": 1,
        "gpa": 3.2027027027027026
      },
      {
        "term": "1112",
        "count": 26,
        "sections": 1,
        "gpa": 3.1538461538461537
      }
    ]
  },
  {
    "uid": "instructor_679f753cde11c003a592a1a8",
    "name": "SIGURD ANGENENT",
    "count": 56,
    "terms": [
      {
        "term": "1182",
        "count": 56,
        "sections": 1,
        "gpa": 3.5089285714285716
      }
    ]
  },
  {
    "uid": "instructor_e930b3f6ec9d1140d6f286c3",
    "name": "SERGUEI DENISSOV",
    "count": 43,
    "terms": [
      {
        "term": "1202",
        "count": 43,
        "sections": 2,
        "gpa": 3.127906976744186
      }
    ]
  },
  {
    "uid": "instructor_eb98a96c05ac474b321e9170",
    "name": "SEAN PAUL",
    "count": 34,
    "terms": [
      {
        "term": "1092",
        "count": 34,
        "sections": 1,
        "gpa": 2.985294117647059
      }
    ]
  },
  {
    "uid": "instructor_90a7724b3066e84aa7c1838f",
    "name": "FEDOR NAZAROV",
    "count": 32,
    "terms": [
      {
        "term": "1092",
        "count": 32,
        "sections": 1,
        "gpa": 3.46875
      }
    ]
  },
  {
    "uid": "instructor_b8e44b154dc09c12ff6006ac",
    "name": "GHEORGHE CRACIUN",
    "count": 21,
    "terms": [
      {
        "term": "1122",
        "count": 21,
        "sections": 1,
        "gpa": 3.4285714285714284
      }
    ]
  },
  {
    "uid": "instructor_2526da1b4d60f44a1bea00f0",
    "name": "YANNAN QIU",
    "count": 18,
    "terms": [
      {
        "term": "1082",
        "count": 18,
        "sections": 1,
        "gpa": 2.9444444444444446
      }
    ]
  },
  {
    "uid": "instructor_d6ae5bf489a32285b7c8c1c7",
    "name": "SERGEY BOLOTIN",
    "count": 17,
    "terms": [
      {
        "term": "1112",
        "count": 17,
        "sections": 1,
        "gpa": 3.411764705882353
      }
    ]
  }
]
```

## following

| code                          | title                                                                   |
| ----------------------------- | ----------------------------------------------------------------------- |
| BIOCHEM/BMI/BMOLCHEM/MATH 609 | MATHEMATICAL METHODS FOR SYSTEMS BIOLOGY                                |
| BME 330                       | ENGINEERING PRINCIPLES OF MOLECULES, CELLS, AND TISSUES                 |
| BME 556                       | SYSTEMS BIOLOGY: MAMMALIAN SIGNALING NETWORKS                           |
| BMI/COMPSCI 567               | BIOMEDICAL IMAGE ANALYSIS                                               |
| CBE 355                       | STATISTICS FOR CHEMICAL ENGINEERS                                       |
| CHEM 361                      | MACHINE LEARNING IN CHEMISTRY                                           |
| CIVENGR 310                   | FLUID MECHANICS                                                         |
| COMPSCI 540                   | INTRODUCTION TO ARTIFICIAL INTELLIGENCE                                 |
| COMPSCI 541                   | THEORY & ALGORITHMS FOR DATA SCIENCE                                    |
| COMPSCI 550                   | ALGORITHMIC GAME THEORY & LEARNING                                      |
| COMPSCI 557                   | PARALLEL & THROUGHPUT- OPTIMIZED PROGRAMMING                            |
| COMPSCI 566                   | INTRODUCTION TO COMPUTER VISION                                         |
| COMPSCI 580                   | INTELLIGENT ROBOTICS                                                    |
| COMPSCI/ECE 561               | PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING                  |
| COMPSCI/ECE/MATH 435          | INTRODUCTION TO CRYPTOGRAPHY                                            |
| COMPSCI/ECE/ME 532            | MATRIX METHODS IN MACHINE LEARNING                                      |
| COMPSCI/ISYE/MATH 425         | INTRODUCTION TO COMBINATORIAL OPTIMIZATION                              |
| COMPSCI/ISYE/MATH/STAT 525    | LINEAR OPTIMIZATION                                                     |
| COMPSCI/MATH 513              | NUMERICAL LINEAR ALGEBRA                                                |
| COMPSCI/MATH 514              | NUMERICAL ANALYSIS                                                      |
| COMPSCI/MATH/STAT 475         | INTRODUCTION TO COMBINATORICS                                           |
| CURRIC/MATH 471               | MATHEMATICS FOR SECONDARY SCHOOL TEACHERS                               |
| ECE/ME 441                    | KINEMATICS, DYNAMICS, AND CONTROL OF ROBOTIC MANIPULATORS               |
| EP 476                        | INTRODUCTION TO SCIENTIFIC COMPUTING FOR ENGINEERING PHYSICS            |
| HISTSCI/MATH 473              | HISTORY OF MATHEMATICS                                                  |
| ISYE 323                      | OPERATIONS RESEARCH-DETERMINISTIC MODELING                              |
| ISYE 624                      | STOCHASTIC MODELING TECHNIQUES                                          |
| ISYE/MATH/OTM/STAT 632        | INTRODUCTION TO STOCHASTIC PROCESSES                                    |
| MATH 376                      | TOPICS IN MULTI-VARIABLE CALCULUS AND DIFFERENTIAL EQUATIONS            |
| MATH 443                      | APPLIED LINEAR ALGEBRA                                                  |
| MATH 444                      | GRAPHS AND NETWORKS IN DATA SCIENCE                                     |
| MATH 461                      | COLLEGE GEOMETRY I                                                      |
| MATH 467                      | INTRODUCTION TO NUMBER THEORY                                           |
| MATH 519                      | ORDINARY DIFFERENTIAL EQUATIONS                                         |
| MATH 522                      | ANALYSIS II                                                             |
| MATH 535                      | MATHEMATICAL METHODS IN DATA SCIENCE                                    |
| MATH 540                      | LINEAR ALGEBRA II                                                       |
| MATH 541                      | MODERN ALGEBRA 1                                                        |
| MATH 551                      | POINT-SET TOPOLOGY                                                      |
| MATH 561                      | DIFFERENTIAL GEOMETRY                                                   |
| MATH 570                      | FUNDAMENTALS OF SET THEORY                                              |
| MATH 616                      | DATA-DRIVEN DYNAMICAL SYSTEMS, STOCHASTIC MODELING AND PREDICTION       |
| MATH/PHILOS 571               | MATHEMATICAL LOGIC                                                      |
| ME 331                        | COMPUTER-AIDED ENGINEERING                                              |
| ME 340                        | DYNAMIC SYSTEMS                                                         |
| ME 363                        | FLUID DYNAMICS                                                          |
| ME 536                        | MACHINE LEARNING FOR DATA-DRIVEN ENGINEERING DESIGN                     |
| NE 405                        | NUCLEAR REACTOR THEORY                                                  |
| STAT 433                      | DATA SCIENCE WITH R                                                     |
| STAT 451                      | INTRODUCTION TO MACHINE LEARNING AND STATISTICAL PATTERN CLASSIFICATION |
| STAT 453                      | INTRODUCTION TO DEEP LEARNING AND GENERATIVE MODELS                     |
| STAT 456                      | APPLIED MULTIVARIATE ANALYSIS                                           |
| STAT 575                      | STATISTICAL METHODS FOR SPATIAL DATA                                    |

## projection

### target

1272

### interval

#### lower

2.99

#### upper

4

#### coverage

80

#### terms

8

### gpa

3.5003233853517917

### grades

| grade | percentage         |
| ----- | ------------------ |
| A     | 54.55702813394693  |
| AB    | 14.643338170128859 |
| B     | 17.76538117854816  |
| BC    | 7.476306694308252  |
| C     | 3.6024144434526515 |
| D     | 1.3608032456199994 |
| F     | 0.5947281339951497 |

### source Terms

* 1262
* 1252
* 1242
* 1232
* 1222

### source Count

239

### same Season

true

### historical Range

* 3.372340425531915
* 3.8899999999999997

### backtest

#### terms

8

#### gpa Error

0.16689584781062938

#### mix Error

22.196791274367495