# MATH 825: Selected Topics in Functional Analysis | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/MATH_825)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

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### observed at

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### built at

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

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8951

### current instructors

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### limited

false

### terms

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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
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| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
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| ART       | 125   |
| ARTED     | 10    |
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| 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   |
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| CRB       | 19    |
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| CSCS      | 40    |
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| EMERMED   | 17    |
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| FOLKLORE  | 40    |
| FOODSCI   | 43    |
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| GENECSLR  | 17    |
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| 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    |
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| ITALIAN   | 53    |
| JEWISH    | 56    |
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| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
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| 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

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### record version id

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### course id

MATH 825

### course uid

course\_a88d8bc7da942a242ead59e7

### catalog version id

096f319317a86a05de960ea5b3dd5f036403ad84ff753a78081803104dc18a3a

### course number

825

### subjects

* MATH

### title

SELECTED TOPICS IN FUNCTIONAL ANALYSIS

### description

Topics will vary and may include spectral theory, nonlinear functional analysis or abstract harmonic analysis.

### requirements text

Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

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### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

MATH 825 covers selected topics in functional analysis, potentially including spectral theory, nonlinear functional analysis, or abstract harmonic analysis.

### llm topics

* Spectral theory
* Nonlinear functional analysis
* Abstract harmonic analysis

### llm skills

None recorded.

### llm assumed background

None recorded.

### llm search phrases

* spectral theory
* nonlinear functional analysis
* abstract harmonic analysis
* graduate functional analysis

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

bf4db7ab7ce45fd55a9fc49c66b6c88a218a22d173bb2598fd2875825718f2e4

#### course id

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#### current instructors

None recorded.

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

false

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Spring 2019: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Fall 2019: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Fall 2025: 3.67 GPA, 83.3% A/AB (n=6 letter grades).

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#### student experience

None recorded.

#### task hash

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#### teaching history

None recorded.

#### term id

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#### term name

2026 Fall

#### version

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### requirements

#### nodes

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#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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### grades

```json
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```

### statistics

#### gpa

3.946

#### graded

37

#### counts

* 36
* 0
* 0
* 0
* 1
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a88d8bc7da942a242ead59e7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a88d8bc7da942a242ead59e7-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a88d8bc7da942a242ead59e7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a88d8bc7da942a242ead59e7-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a88d8bc7da942a242ead59e7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a88d8bc7da942a242ead59e7-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.945945945945946

#### count

37

#### university

##### size

2778

##### gpa Percentile

88

##### count Percentile

10

##### median Count

85

##### 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 | 332   | false   |
| 3.2–3.6 | 839   | false   |
| 3.6–4.0 | 1592  | true    |

#### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 70,
      "gpaPercentile": 88,
      "countPercentile": 7,
      "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": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 4,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 28,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 15,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 23,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1152

##### term

1152

##### gpa

4

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1194

##### term

1194

##### gpa

4

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1202

##### term

1202

##### gpa

4

##### count

9

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1262

##### term

1262

##### gpa

3.6666666666666665

##### count

6

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

### benchmarks

#### all

##### school

###### size

2778

###### gpa

3.6096456096665084

###### top Share

78.84121524939202

###### count

85

##### MATH

###### size

70

###### gpa

3.3552115759463406

###### top Share

64.07867272072603

###### count

103

#### terms

##### 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

##### 1194

###### school

###### size

1040

###### gpa

3.4906527436719808

###### top Share

71.74728845515045

###### count

67

###### MATH

###### size

38

###### gpa

3.133406260873163

###### top Share

53.17595010634325

###### count

71.5

##### 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

##### 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_c0289d403f78c76ec800e7ea",
    "name": "BRIAN STREET",
    "count": 26,
    "terms": [
      {
        "term": "1194",
        "count": 11,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1202",
        "count": 9,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1262",
        "count": 6,
        "sections": 1,
        "gpa": 3.6666666666666665
      }
    ]
  },
  {
    "uid": "instructor_f00d358fd7c1650bfb3e8b33",
    "name": "ALEXANDER NAGEL",
    "count": 11,
    "terms": [
      {
        "term": "1152",
        "count": 11,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
