# NEURODPT/NTP 610: Cellular and Molecular Neuroscience | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/NEURODPT_NTP_610)

## 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

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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
| CURRIC    | 193   |
| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
| GENBUS    | 72    |
| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
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| 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

d03f8db828aa19c84f4d40506d3555168da1e76a9b6e406398c2a7fbf6dca45a

### course id

NEURODPT/NTP 610

### course uid

course\_ff40b1cbd1c6cc939f162555

### catalog version id

cf0f23c818d605e39b522aec12ef40b890f5dc72e3364aebfaceed6b8690347c

### course number

610

### subjects

* NEURODPT
* NTP

### title

CELLULAR AND MOLECULAR NEUROSCIENCE

### description

Study of original papers leading to an understanding of the molecular basis of electrical activity in neurons. Topics include voltage-sensitive currents, molecular biology of neuronal receptorrs, synaptic transmission and sensory transduction.

### requirements text

ZOOLOGY/​PSYCH  523and (PHYSICS 202,208, or248), or graduate/professional standing

### credits min

4

### credits max

4

### credit offering ids

* 1272:681:013764
* 1272:682:013764

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

a70d689eef9e5533db4d97a8fdf6dd920054051e8c30bcd1a441e9f5e87c03d5

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

This course examines the molecular basis of neuronal electrical activity through original research papers, covering voltage-sensitive currents, receptors, and synaptic transmission.

### llm topics

* Voltage-sensitive currents
* Molecular biology of neuronal receptors
* Synaptic and sensory transduction

### llm skills

* Analyzing original research papers to understand molecular mechanisms of neuronal electrical activity.
* Understanding voltage-sensitive currents, neuronal receptor molecular biology, synaptic transmission, and sensory transduction.

### llm assumed background

* Foundational knowledge in cellular neurophysiology and calculus-based physics (electricity, magnetism, optics).

### llm search phrases

* cellular neuroscience molecular basis
* neuronal electrical activity
* voltage-sensitive currents
* synaptic transmission sensory transduction
* neurobiology prerequisites

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

d582a5649025f7c4c0f8f5adb3a3af5dff0851aecb492d5494fa96693ac6f4da

#### course id

NEURODPT/NTP 610

#### current instructors

```json
[
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    "instructor_uid": "instructor_0ce222452066c2ea59fba30d",
    "message": null,
    "name": "Matt Jones",
    "review_status": "supported",
    "rmp_instructor_id": "rmp:1628222",
    "summary": [
      {
        "citations": [
          {
            "instructor_name": "Matt Jones",
            "review_date": "2015-10-19 10:59:52 +0000 UTC",
            "review_id": "084ec4d8afbc27f132b011a3",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1628222",
            "source_review_id": "UmF0aW5nLTI1MjY1ODEw",
            "source_url": "https://www.ratemyprofessors.com/professor/1628222",
            "type": "review"
          }
        ],
        "text": "Matt Jones is described as organized and coherent, with clear online notes and punctual lectures. A 2015 review highlights his ability to explain concepts well and finish on time."
      },
      {
        "citations": [
          {
            "instructor_name": "Matt Jones",
            "review_date": "2023-12-14 17:40:21 +0000 UTC",
            "review_id": "2158ed4a9e65b852a08ae1b4",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1628222",
            "source_review_id": "UmF0aW5nLTM4NjcxNjc2",
            "source_url": "https://www.ratemyprofessors.com/professor/1628222",
            "type": "review"
          }
        ],
        "text": "Conversely, a 2023 review characterizes Jones as unclear, stating his lectures drag and leave students confused. This reviewer found the quiz performance to reflect this lack of clarity."
      }
    ]
  }
]
```

#### difficulty workload

One recent reviewer rated the course difficulty as five out of five, citing confusing lectures and quizzes that demonstrated student misunderstanding.

```json
{
  "citations": [
    {
      "instructor_name": "Matt Jones",
      "review_date": "2023-12-14 17:40:21 +0000 UTC",
      "review_id": "2158ed4a9e65b852a08ae1b4",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1628222",
      "source_review_id": "UmF0aW5nLTM4NjcxNjc2",
      "source_url": "https://www.ratemyprofessors.com/professor/1628222",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

None recorded.

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Matt Jones receives polarized reviews, with one student praising his organization and clarity while another finds his lectures unclear and confusing.

```json
{
  "citations": [
    {
      "instructor_name": "Matt Jones",
      "review_date": "2015-10-19 10:59:52 +0000 UTC",
      "review_id": "084ec4d8afbc27f132b011a3",
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      "source_instructor_id": "rmp:1628222",
      "source_review_id": "UmF0aW5nLTI1MjY1ODEw",
      "source_url": "https://www.ratemyprofessors.com/professor/1628222",
      "type": "review"
    },
    {
      "instructor_name": "Matt Jones",
      "review_date": "2023-12-14 17:40:21 +0000 UTC",
      "review_id": "2158ed4a9e65b852a08ae1b4",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1628222",
      "source_review_id": "UmF0aW5nLTM4NjcxNjc2",
      "source_url": "https://www.ratemyprofessors.com/professor/1628222",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Fall 2023: 3.53 GPA, 71.0% A/AB (n=31 letter grades); Fall 2024: 3.72 GPA, 80.0% A/AB (n=30 letter grades); Fall 2025: 3.98 GPA, 100.0% A/AB (n=22 letter grades).

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{
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```

#### student experience

Experiences vary significantly; one reviewer cites coherent explanations and on-time lectures, while another reports dragging lectures that leave students confused.

```json
{
  "citations": [
    {
      "instructor_name": "Matt Jones",
      "review_date": "2015-10-19 10:59:52 +0000 UTC",
      "review_id": "084ec4d8afbc27f132b011a3",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1628222",
      "source_review_id": "UmF0aW5nLTI1MjY1ODEw",
      "source_url": "https://www.ratemyprofessors.com/professor/1628222",
      "type": "review"
    },
    {
      "instructor_name": "Matt Jones",
      "review_date": "2023-12-14 17:40:21 +0000 UTC",
      "review_id": "2158ed4a9e65b852a08ae1b4",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1628222",
      "source_review_id": "UmF0aW5nLTM4NjcxNjc2",
      "source_url": "https://www.ratemyprofessors.com/professor/1628222",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

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```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

```json
[
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    "source": "enrollment",
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    "identity_status": "source_identified",
    "name": "Matt Jones",
    "email": "MATHEWJONES@WISC.EDU",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
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      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/MATT_JONES"
  }
]
```

### offerings

```json
[
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```

### sections

```json
[
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]
```

### grade instructors

```json
[
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    "source_instructor_id": "185429",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MATTHEW BANKS",
    "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": 3.294,
      "graded": 252,
      "counts": [
        85,
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```

### grades

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      "Robert Fettiplace",
      "SHING-YAN CHIU"
    ],
    "a": 4,
    "ab": 10,
    "b": 7,
    "bc": 0,
    "c": 2,
    "d": 1,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 25,
    "source_aliases": [
      "NEURODPT/NTP 610"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "NEURODPT/NTP 610",
    "course_uid": "course_ff40b1cbd1c6cc939f162555",
    "term_id": "1202",
    "term_name": "Fall 2019",
    "instructors": [
      "Avtar Roopra",
      "MATHEW JONES",
      "Meyer Jackson",
      "Robert Fettiplace",
      "SHING-YAN CHIU"
    ],
    "a": 3,
    "ab": 5,
    "b": 8,
    "bc": 0,
    "c": 5,
    "d": 2,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 24,
    "source_aliases": [
      "NEURODPT/NTP 610"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "NEURODPT/NTP 610",
    "course_uid": "course_ff40b1cbd1c6cc939f162555",
    "term_id": "1212",
    "term_name": "Fall 2020",
    "instructors": [
      "Avtar Roopra",
      "MATHEW JONES",
      "Meyer Jackson",
      "Raunak Sinha",
      "SHING-YAN CHIU"
    ],
    "a": 2,
    "ab": 2,
    "b": 10,
    "bc": 7,
    "c": 2,
    "d": 5,
    "f": 1,
    "satisfactory": 4,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 34,
    "source_aliases": [
      "NEURODPT/NTP 610"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "NEURODPT/NTP 610",
    "course_uid": "course_ff40b1cbd1c6cc939f162555",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "Avtar Roopra",
      "MATHEW JONES",
      "Meyer Jackson",
      "Raunak Sinha",
      "SHING-YAN CHIU"
    ],
    "a": 6,
    "ab": 2,
    "b": 2,
    "bc": 2,
    "c": 3,
    "d": 1,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 3,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 19,
    "source_aliases": [
      "NEURODPT/NTP 610"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "NEURODPT/NTP 610",
    "course_uid": "course_ff40b1cbd1c6cc939f162555",
    "term_id": "1232",
    "term_name": "Fall 2022",
    "instructors": [
      "Avtar Roopra",
      "MATHEW JONES",
      "Meyer Jackson",
      "Raunak Sinha",
      "SHING-YAN CHIU"
    ],
    "a": 17,
    "ab": 7,
    "b": 6,
    "bc": 1,
    "c": 0,
    "d": 1,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 33,
    "source_aliases": [
      "NEURODPT/NTP 610"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "NEURODPT/NTP 610",
    "course_uid": "course_ff40b1cbd1c6cc939f162555",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "Avtar Roopra",
      "MATHEW JONES",
      "Meyer Jackson",
      "Raunak Sinha",
      "SHING-YAN CHIU"
    ],
    "a": 19,
    "ab": 3,
    "b": 7,
    "bc": 0,
    "c": 0,
    "d": 2,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 1,
    "other": 0,
    "total": 32,
    "source_aliases": [
      "NEURODPT/NTP 610"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "NEURODPT/NTP 610",
    "course_uid": "course_ff40b1cbd1c6cc939f162555",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "MATHEW JONES"
    ],
    "a": 21,
    "ab": 3,
    "b": 5,
    "bc": 0,
    "c": 1,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 30,
    "source_aliases": [
      "NEURODPT/NTP 610"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "NEURODPT/NTP 610",
    "course_uid": "course_ff40b1cbd1c6cc939f162555",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "MATHEW JONES"
    ],
    "a": 21,
    "ab": 1,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 22,
    "source_aliases": [
      "NEURODPT/NTP 610"
    ]
  }
]
```

### statistics

#### gpa

3.255

#### graded

652

#### counts

* 194
* 173
* 174
* 48
* 41
* 17
* 5

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_ff40b1cbd1c6cc939f162555-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_ff40b1cbd1c6cc939f162555-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_ff40b1cbd1c6cc939f162555-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_ff40b1cbd1c6cc939f162555-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_ff40b1cbd1c6cc939f162555-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_ff40b1cbd1c6cc939f162555-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_ff40b1cbd1c6cc939f162555-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_ff40b1cbd1c6cc939f162555-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_ff40b1cbd1c6cc939f162555-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_ff40b1cbd1c6cc939f162555-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.2553680981595092

#### count

652

#### university

##### size

4146

##### gpa Percentile

10

##### count Percentile

78

##### 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

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

### terms

#### 1072

##### term

1072

##### gpa

3.5476190476190474

##### count

42

##### university

###### size

723

###### gpa Percentile

71

###### count Percentile

25

###### 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   | false   |
| 3.2–3.6 | 306   | true    |
| 3.6–4.0 | 180   | false   |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1082

##### term

1082

##### gpa

3.28

##### count

50

##### university

###### size

723

###### gpa Percentile

43

###### count Percentile

34

###### 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

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1092

##### term

1092

##### gpa

3.1621621621621623

##### count

37

##### university

###### size

732

###### gpa Percentile

30

###### count Percentile

13

###### 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   | true    |
| 3.2–3.6 | 271   | false   |
| 3.6–4.0 | 211   | false   |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1102

##### term

1102

##### gpa

3.014705882352941

##### count

34

##### university

###### size

774

###### gpa Percentile

18

###### count Percentile

9

###### 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   | true    |
| 3.2–3.6 | 287   | false   |
| 3.6–4.0 | 235   | false   |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1112

##### term

1112

##### gpa

3.019230769230769

##### count

26

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1122

##### term

1122

##### gpa

3.1315789473684212

##### count

38

##### university

###### size

804

###### gpa Percentile

28

###### count Percentile

16

###### 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   | true    |
| 3.2–3.6 | 282   | false   |
| 3.6–4.0 | 248   | false   |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1132

##### term

1132

##### gpa

3.4444444444444446

##### count

45

##### university

###### size

851

###### gpa Percentile

56

###### count Percentile

29

###### median Count

66

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 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

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1142

##### term

1142

##### gpa

3.2058823529411766

##### count

34

##### university

###### size

853

###### gpa Percentile

32

###### count Percentile

8

###### 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   | false   |
| 3.2–3.6 | 320   | true    |
| 3.6–4.0 | 268   | false   |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1152

##### term

1152

##### gpa

3.5384615384615383

##### count

26

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1162

##### term

1162

##### gpa

3.1842105263157894

##### count

38

##### university

###### size

954

###### gpa Percentile

26

###### count Percentile

15

###### 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   | true    |
| 3.2–3.6 | 350   | false   |
| 3.6–4.0 | 345   | false   |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1172

##### term

1172

##### gpa

3.272727272727273

##### count

33

##### university

###### size

991

###### gpa Percentile

31

###### count Percentile

7

###### 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

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1182

##### term

1182

##### gpa

3.05

##### count

40

##### university

###### size

1025

###### gpa Percentile

14

###### count Percentile

17

###### 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   | true    |
| 3.2–3.6 | 369   | false   |
| 3.6–4.0 | 418   | false   |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1192

##### term

1192

##### gpa

3.08

##### count

25

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1202

##### term

1202

##### gpa

2.847826086956522

##### count

23

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1212

##### term

1212

##### gpa

2.4655172413793105

##### count

29

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1222

##### term

1222

##### gpa

3.0625

##### count

16

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1232

##### term

1232

##### gpa

3.4545454545454546

##### count

33

##### university

###### size

1216

###### gpa Percentile

33

###### count Percentile

8

###### 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

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1242

##### term

1242

##### gpa

3.532258064516129

##### count

31

##### university

###### size

1295

###### gpa Percentile

37

###### count Percentile

4

###### median Count

67

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 11    | false   |
| 2.8–3.2 | 162   | false   |
| 3.2–3.6 | 394   | true    |
| 3.6–4.0 | 726   | false   |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1252

##### term

1252

##### gpa

3.716666666666667

##### count

30

##### university

###### size

1333

###### gpa Percentile

55

###### count Percentile

0

###### 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   | false   |
| 3.6–4.0 | 773   | true    |

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

#### 1262

##### term

1262

##### gpa

3.977272727272727

##### count

22

##### departments

| subject  | comparison |
| -------- | ---------- |
| NEURODPT |            |
| NTP      |            |

### benchmarks

#### all

##### school

###### size

4146

###### gpa

3.655576857310451

###### top Share

81.61127984016484

###### count

193

#### 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

##### 1092

###### school

###### size

732

###### gpa

3.374660709520374

###### top Share

63.690339324346596

###### count

70

##### 1102

###### school

###### size

774

###### gpa

3.36712622366007

###### top Share

63.703228532165696

###### count

67

##### 1112

###### school

###### size

805

###### gpa

3.3737773184830386

###### top Share

63.91039244872789

###### count

66

##### 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_e431b3a114b4b7f680906be4",
    "name": "MATHEW JONES",
    "count": 565,
    "terms": [
      {
        "term": "1072",
        "count": 42,
        "sections": 1,
        "gpa": 3.5476190476190474
      },
      {
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        "sections": 1,
        "gpa": 3.014705882352941
      },
      {
        "term": "1112",
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        "sections": 1,
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      },
      {
        "term": "1122",
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        "sections": 1,
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      },
      {
        "term": "1132",
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        "sections": 1,
        "gpa": 3.4444444444444446
      },
      {
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        "count": 34,
        "sections": 1,
        "gpa": 3.2058823529411766
      },
      {
        "term": "1152",
        "count": 26,
        "sections": 1,
        "gpa": 3.5384615384615383
      },
      {
        "term": "1162",
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        "sections": 1,
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      },
      {
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        "sections": 1,
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      },
      {
        "term": "1182",
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        "sections": 1,
        "gpa": 3.05
      },
      {
        "term": "1192",
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        "sections": 1,
        "gpa": 3.08
      },
      {
        "term": "1202",
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        "sections": 1,
        "gpa": 2.847826086956522
      },
      {
        "term": "1212",
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        "sections": 1,
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      },
      {
        "term": "1222",
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      },
      {
        "term": "1232",
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        "sections": 1,
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      },
      {
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      },
      {
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        "sections": 1,
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      },
      {
        "term": "1262",
        "count": 22,
        "sections": 1,
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      }
    ]
  },
  {
    "uid": "instructor_38ae830149f3912f3aea9a45",
    "name": "SHING-YAN CHIU",
    "count": 558,
    "terms": [
      {
        "term": "1082",
        "count": 50,
        "sections": 1,
        "gpa": 3.28
      },
      {
        "term": "1092",
        "count": 37,
        "sections": 1,
        "gpa": 3.1621621621621623
      },
      {
        "term": "1102",
        "count": 34,
        "sections": 1,
        "gpa": 3.014705882352941
      },
      {
        "term": "1112",
        "count": 26,
        "sections": 1,
        "gpa": 3.019230769230769
      },
      {
        "term": "1122",
        "count": 38,
        "sections": 1,
        "gpa": 3.1315789473684212
      },
      {
        "term": "1132",
        "count": 45,
        "sections": 1,
        "gpa": 3.4444444444444446
      },
      {
        "term": "1142",
        "count": 34,
        "sections": 1,
        "gpa": 3.2058823529411766
      },
      {
        "term": "1152",
        "count": 26,
        "sections": 1,
        "gpa": 3.5384615384615383
      },
      {
        "term": "1162",
        "count": 38,
        "sections": 1,
        "gpa": 3.1842105263157894
      },
      {
        "term": "1172",
        "count": 33,
        "sections": 1,
        "gpa": 3.272727272727273
      },
      {
        "term": "1182",
        "count": 40,
        "sections": 1,
        "gpa": 3.05
      },
      {
        "term": "1192",
        "count": 25,
        "sections": 1,
        "gpa": 3.08
      },
      {
        "term": "1202",
        "count": 23,
        "sections": 1,
        "gpa": 2.847826086956522
      },
      {
        "term": "1212",
        "count": 29,
        "sections": 1,
        "gpa": 2.4655172413793105
      },
      {
        "term": "1222",
        "count": 16,
        "sections": 1,
        "gpa": 3.0625
      },
      {
        "term": "1232",
        "count": 33,
        "sections": 1,
        "gpa": 3.4545454545454546
      },
      {
        "term": "1242",
        "count": 31,
        "sections": 1,
        "gpa": 3.532258064516129
      }
    ]
  },
  {
    "uid": "instructor_26c951c0940422f3b09a2a34",
    "name": "ROBERT FETTIPLACE",
    "count": 491,
    "terms": [
      {
        "term": "1072",
        "count": 42,
        "sections": 1,
        "gpa": 3.5476190476190474
      },
      {
        "term": "1082",
        "count": 50,
        "sections": 1,
        "gpa": 3.28
      },
      {
        "term": "1092",
        "count": 37,
        "sections": 1,
        "gpa": 3.1621621621621623
      },
      {
        "term": "1102",
        "count": 34,
        "sections": 1,
        "gpa": 3.014705882352941
      },
      {
        "term": "1112",
        "count": 26,
        "sections": 1,
        "gpa": 3.019230769230769
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      {
        "term": "1122",
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        "sections": 1,
        "gpa": 3.1315789473684212
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      {
        "term": "1132",
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        "sections": 1,
        "gpa": 3.4444444444444446
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      {
        "term": "1142",
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        "sections": 1,
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      },
      {
        "term": "1152",
        "count": 26,
        "sections": 1,
        "gpa": 3.5384615384615383
      },
      {
        "term": "1162",
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        "sections": 1,
        "gpa": 3.1842105263157894
      },
      {
        "term": "1172",
        "count": 33,
        "sections": 1,
        "gpa": 3.272727272727273
      },
      {
        "term": "1182",
        "count": 40,
        "sections": 1,
        "gpa": 3.05
      },
      {
        "term": "1192",
        "count": 25,
        "sections": 1,
        "gpa": 3.08
      },
      {
        "term": "1202",
        "count": 23,
        "sections": 1,
        "gpa": 2.847826086956522
      }
    ]
  },
  {
    "uid": "instructor_c635864fdc4d1f67c92e655d",
    "name": "AVTAR S ROOPRA",
    "count": 373,
    "terms": [
      {
        "term": "1132",
        "count": 45,
        "sections": 1,
        "gpa": 3.4444444444444446
      },
      {
        "term": "1142",
        "count": 34,
        "sections": 1,
        "gpa": 3.2058823529411766
      },
      {
        "term": "1152",
        "count": 26,
        "sections": 1,
        "gpa": 3.5384615384615383
      },
      {
        "term": "1162",
        "count": 38,
        "sections": 1,
        "gpa": 3.1842105263157894
      },
      {
        "term": "1172",
        "count": 33,
        "sections": 1,
        "gpa": 3.272727272727273
      },
      {
        "term": "1182",
        "count": 40,
        "sections": 1,
        "gpa": 3.05
      },
      {
        "term": "1192",
        "count": 25,
        "sections": 1,
        "gpa": 3.08
      },
      {
        "term": "1202",
        "count": 23,
        "sections": 1,
        "gpa": 2.847826086956522
      },
      {
        "term": "1212",
        "count": 29,
        "sections": 1,
        "gpa": 2.4655172413793105
      },
      {
        "term": "1222",
        "count": 16,
        "sections": 1,
        "gpa": 3.0625
      },
      {
        "term": "1232",
        "count": 33,
        "sections": 1,
        "gpa": 3.4545454545454546
      },
      {
        "term": "1242",
        "count": 31,
        "sections": 1,
        "gpa": 3.532258064516129
      }
    ]
  },
  {
    "uid": "instructor_20ef72110fb6d671dc6cdd17",
    "name": "CYNTHIA CZAJKOWSKI",
    "count": 306,
    "terms": [
      {
        "term": "1072",
        "count": 42,
        "sections": 1,
        "gpa": 3.5476190476190474
      },
      {
        "term": "1082",
        "count": 50,
        "sections": 1,
        "gpa": 3.28
      },
      {
        "term": "1092",
        "count": 37,
        "sections": 1,
        "gpa": 3.1621621621621623
      },
      {
        "term": "1102",
        "count": 34,
        "sections": 1,
        "gpa": 3.014705882352941
      },
      {
        "term": "1112",
        "count": 26,
        "sections": 1,
        "gpa": 3.019230769230769
      },
      {
        "term": "1122",
        "count": 38,
        "sections": 1,
        "gpa": 3.1315789473684212
      },
      {
        "term": "1132",
        "count": 45,
        "sections": 1,
        "gpa": 3.4444444444444446
      },
      {
        "term": "1142",
        "count": 34,
        "sections": 1,
        "gpa": 3.2058823529411766
      }
    ]
  },
  {
    "uid": "instructor_173e935882f115f05fbb85e8",
    "name": "MATTHEW BANKS",
    "count": 227,
    "terms": [
      {
        "term": "1072",
        "count": 42,
        "sections": 1,
        "gpa": 3.5476190476190474
      },
      {
        "term": "1082",
        "count": 50,
        "sections": 1,
        "gpa": 3.28
      },
      {
        "term": "1092",
        "count": 37,
        "sections": 1,
        "gpa": 3.1621621621621623
      },
      {
        "term": "1102",
        "count": 34,
        "sections": 1,
        "gpa": 3.014705882352941
      },
      {
        "term": "1112",
        "count": 26,
        "sections": 1,
        "gpa": 3.019230769230769
      },
      {
        "term": "1122",
        "count": 38,
        "sections": 1,
        "gpa": 3.1315789473684212
      }
    ]
  },
  {
    "uid": "instructor_66f59467ef70cc2118ddb1ab",
    "name": "XUELIN LOU",
    "count": 176,
    "terms": [
      {
        "term": "1132",
        "count": 45,
        "sections": 1,
        "gpa": 3.4444444444444446
      },
      {
        "term": "1142",
        "count": 34,
        "sections": 1,
        "gpa": 3.2058823529411766
      },
      {
        "term": "1152",
        "count": 26,
        "sections": 1,
        "gpa": 3.5384615384615383
      },
      {
        "term": "1162",
        "count": 38,
        "sections": 1,
        "gpa": 3.1842105263157894
      },
      {
        "term": "1172",
        "count": 33,
        "sections": 1,
        "gpa": 3.272727272727273
      }
    ]
  },
  {
    "uid": "instructor_2a965fbe2750ebdd5a7d6432",
    "name": "DONATA OERTEL",
    "count": 147,
    "terms": [
      {
        "term": "1082",
        "count": 50,
        "sections": 1,
        "gpa": 3.28
      },
      {
        "term": "1092",
        "count": 37,
        "sections": 1,
        "gpa": 3.1621621621621623
      },
      {
        "term": "1102",
        "count": 34,
        "sections": 1,
        "gpa": 3.014705882352941
      },
      {
        "term": "1112",
        "count": 26,
        "sections": 1,
        "gpa": 3.019230769230769
      }
    ]
  },
  {
    "uid": "instructor_9f5230f2e1a9c4b929d5f05b",
    "name": "MEYER JACKSON",
    "count": 132,
    "terms": [
      {
        "term": "1202",
        "count": 23,
        "sections": 1,
        "gpa": 2.847826086956522
      },
      {
        "term": "1212",
        "count": 29,
        "sections": 1,
        "gpa": 2.4655172413793105
      },
      {
        "term": "1222",
        "count": 16,
        "sections": 1,
        "gpa": 3.0625
      },
      {
        "term": "1232",
        "count": 33,
        "sections": 1,
        "gpa": 3.4545454545454546
      },
      {
        "term": "1242",
        "count": 31,
        "sections": 1,
        "gpa": 3.532258064516129
      }
    ]
  },
  {
    "uid": "instructor_7bd3c64a05c4c2c4cd22fa62",
    "name": "RAUNAK SINHA",
    "count": 109,
    "terms": [
      {
        "term": "1212",
        "count": 29,
        "sections": 1,
        "gpa": 2.4655172413793105
      },
      {
        "term": "1222",
        "count": 16,
        "sections": 1,
        "gpa": 3.0625
      },
      {
        "term": "1232",
        "count": 33,
        "sections": 1,
        "gpa": 3.4545454545454546
      },
      {
        "term": "1242",
        "count": 31,
        "sections": 1,
        "gpa": 3.532258064516129
      }
    ]
  }
]
```

## following

| code                   | title                                                               |
| ---------------------- | ------------------------------------------------------------------- |
| NEURODPT/NTP 640       | COMPUTATIONAL NEUROSCIENCE: FROM SINGLE CELLS TO WHOLE BRAIN MODELS |
| NEURODPT/NTP/PSYCH 611 | SYSTEMS NEUROSCIENCE                                                |
| NEUROL 735             | NEUROBIOLOGY OF DISEASE                                             |
