# ECE 821: Optimal Control and Variational Methods | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ECE_821)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T23:19:01.870283+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
| CURRIC    | 193   |
| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
| GENBUS    | 72    |
| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
| LIS       | 89    |
| LITTRANS  | 78    |
| LSC       | 52    |
| M\&ENVTOX | 7     |
| MARKETNG  | 62    |
| MATH      | 153   |
| MDGENET   | 8     |
| ME        | 130   |
| MEDHIST   | 43    |
| MEDICINE  | 60    |
| MEDIEVAL  | 32    |
| MEDPHYS   | 39    |
| MEDSC-M   | 29    |
| MEDSC-V   | 41    |
| MHR       | 68    |
| MICROBIO  | 45    |
| MILSCI    | 16    |
| MM\&I     | 22    |
| MOLBIOL   | 6     |
| MS\&E     | 59    |
| MUSIC     | 165   |
| MUSPERF   | 126   |
| NAVSCI    | 20    |
| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
| PHYASST   | 37    |
| PHYSICS   | 88    |
| PHYSIOL   | 3     |
| PHYTHER   | 37    |
| PLANTSCI  | 52    |
| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
| SOILSCI   | 46    |
| SPANISH   | 83    |
| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

a3ed327c319a479297f95775f60b9c6d71659525c462c1fb9104266ddf2137c3

### course id

ECE 821

### course uid

course\_0b5ddbb0be4809d2ebe83f84

### catalog version id

abc9f93a06bad1dc6ba99675fe9b48bf1224fe8268780c54860081de4151ed71

### course number

821

### subjects

* ECE

### title

OPTIMAL CONTROL AND VARIATIONAL METHODS

### description

Variational principles in optimization and optimal control, constrained control and reachability analysis, stability of optimal control, data-driven methods for optimal control. Knowledge of linear systems \[such asE C E 717] strongly encouraged.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

ec25fef159f7e1d296aa4e972961fd34c8219578151117cba61ef034b1167ad8

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Covers variational principles, constrained control, reachability, stability, and data-driven methods in optimal control.

### llm topics

* Variational principles in optimization
* Constrained control and reachability analysis
* Stability of optimal control
* Data-driven methods for optimal control

### llm skills

* Applying variational principles to optimization problems
* Performing constrained control and reachability analysis
* Analyzing stability in optimal control systems
* Implementing data-driven methods for optimal control

### llm assumed background

* Linear systems theory and linear algebra fundamentals
* Linear systems analysis

### llm search phrases

* optimal control variational methods
* ECE 821 optimal control
* data-driven optimal control
* reachability analysis control

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

6feeb8df98a7134553fba335644965768849a26b76ec255e869f05ff5b622978

#### course id

ECE 821

#### 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 2013: 3.50 GPA, 50.0% A/AB (n=8 letter grades); Spring 2024: 3.69 GPA, 94.4% A/AB (n=18 letter grades); Spring 2026: 3.68 GPA, 92.9% A/AB (n=14 letter grades).

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#### student experience

None recorded.

#### task hash

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#### 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

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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```

### statistics

#### gpa

3.625

#### graded

48

#### counts

* 22
* 17
* 8
* 1
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0b5ddbb0be4809d2ebe83f84-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0b5ddbb0be4809d2ebe83f84-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0b5ddbb0be4809d2ebe83f84-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0b5ddbb0be4809d2ebe83f84-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0b5ddbb0be4809d2ebe83f84-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0b5ddbb0be4809d2ebe83f84-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.625

#### count

48

#### university

##### size

3199

##### gpa Percentile

41

##### count Percentile

24

##### median Count

87

##### 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 | 19    | false   |
| 2.8–3.2 | 299   | false   |
| 3.2–3.6 | 916   | false   |
| 3.6–4.0 | 1965  | true    |

#### departments

```json
[
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    "comparison": {
      "size": 89,
      "gpaPercentile": 55,
      "countPercentile": 22,
      "medianCount": 94,
      "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": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 36,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 43,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1074

##### term

1074

##### gpa

3.5

##### count

8

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1134

##### term

1134

##### gpa

3.5

##### count

8

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1244

##### term

1244

##### gpa

3.6944444444444446

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1264

##### term

1264

##### gpa

3.6785714285714284

##### count

14

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

### benchmarks

#### all

##### school

###### size

3199

###### gpa

3.6363810191629713

###### top Share

80.53066858843856

###### count

87

##### ECE

###### size

89

###### gpa

3.5424490731549536

###### top Share

75.06154372508729

###### count

94

#### terms

##### 1074

###### school

###### size

695

###### gpa

3.3616924722887376

###### top Share

63.22509110105764

###### count

69

###### ECE

###### size

20

###### gpa

3.110370466319829

###### top Share

50.72606982804236

###### count

46

##### 1134

###### school

###### size

852

###### gpa

3.4138934207568203

###### top Share

66.35946578182744

###### count

66

###### ECE

###### size

26

###### gpa

3.3422063178165016

###### top Share

62.38776016208119

###### count

69

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

###### ECE

###### size

44

###### gpa

3.4583903966894223

###### top Share

70.01102622146537

###### count

70

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### ECE

###### size

38

###### gpa

3.554019248602149

###### top Share

75.22296238620345

###### count

83.5

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### ECE

###### size

45

###### gpa

3.5814138447018746

###### top Share

77.53027985486403

###### count

73

## instructor Trends

```json
[
  {
    "uid": "instructor_821a000fde9fc8e085416f24",
    "name": "JEREMY COULSON",
    "count": 32,
    "terms": [
      {
        "term": "1244",
        "count": 18,
        "sections": 1,
        "gpa": 3.6944444444444446
      },
      {
        "term": "1264",
        "count": 14,
        "sections": 1,
        "gpa": 3.6785714285714284
      }
    ]
  },
  {
    "uid": "instructor_38bc1e3798ef85a6222c29c4",
    "name": "J. DANIEL COBB",
    "count": 16,
    "terms": [
      {
        "term": "1074",
        "count": 8,
        "sections": 1,
        "gpa": 3.5
      },
      {
        "term": "1134",
        "count": 8,
        "sections": 1,
        "gpa": 3.5
      }
    ]
  }
]
```

## following

None recorded.
