# CURRIC/EDPSYCH/LIS 803: Computational Research Methods | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/CURRIC_EDPSYCH_LIS_803)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

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

### built at

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

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
* 1262
* 1254
* 1252
* 1244
* 1242
* 1234
* 1232
* 1224
* 1222
* 1212
* 1204
* 1202
* 1194
* 1192
* 1184
* 1182
* 1174
* 1172
* 1164
* 1162
* 1154
* 1152
* 1144
* 1142
* 1134
* 1132
* 1124
* 1122
* 1114
* 1112
* 1104
* 1102
* 1094
* 1092
* 1084
* 1082
* 1074
* 1072

### term

1272

### departments

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

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

7b48c6e9650543275de9282fc7a949f79d76d3f9a8eadf5f7147e9a096993e8a

### course id

CURRIC/EDPSYCH/LIS 803

### course uid

course\_7a115c69d7d1ba025e387c69

### catalog version id

6cbdd35f677fe4d4cafa09684daf14f06514db130e5ecba39d4d370d35025bdf

### course number

803

### subjects

* CURRIC
* EDPSYCH
* LIS

### title

COMPUTATIONAL RESEARCH METHODS

### description

Provides a broad overview of ways of formulating and investigating novel questions with tools from educational data mining and learning analytics including social network analysis, natural language processing, Markov modeling, Bayesian inference, and agent-based modeling.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

26571aaf474d28ccc13eeb4c04ce32b1fcd47ebe539db011db41c9d8e6b34f7f

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

COMPUTATIONAL RESEARCH METHODS provides an overview of investigating novel questions using educational data mining, learning analytics, and various computational modeling tools.

### llm topics

* Educational data mining and learning analytics
* Social network analysis
* Natural language processing
* Markov modeling
* Bayesian inference
* Agent-based modeling

### llm skills

* Formulating and investigating novel research questions
* Applying educational data mining and learning analytics tools
* Social network analysis
* Natural language processing
* Markov modeling
* Bayesian inference
* Agent-based modeling

### llm assumed background

None recorded.

### llm search phrases

* educational data mining
* learning analytics
* social network analysis
* natural language processing
* Markov modeling
* Bayesian inference
* agent-based modeling
* computational research methods
* novel questions investigation

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

040cb9dfdcf7f2aa6dd001afc336945de84e0b752f5eabd7f330c65d883817dc

#### course id

CURRIC/EDPSYCH/LIS 803

#### 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 — Fall 2018: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=13 letter grades).

```json
{
  "citations": [
    {
      "course_id": "CURRIC/EDPSYCH/LIS 803",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "77e87243-9325-3cd4-920a-590c3911739d",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1192",
      "type": "grade"
    },
    {
      "course_id": "CURRIC/EDPSYCH/LIS 803",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "77e87243-9325-3cd4-920a-590c3911739d",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "Graduate/professional standing",
    "course": null,
    "evidence": "Graduate/professional standing",
    "id": "n0",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_3577479916d760eafcfa0cfd",
    "source": "madgrades",
    "source_instructor_id": "763738",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MATTHEW BERLAND",
    "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": 3.991,
      "graded": 342,
      "counts": [
        338,
        2,
        2,
        0,
        0,
        0,
        0
      ],
      "sections": 76
    },
    "instructor_url": "/instructors/MATTHEW_BERLAND--instructor_3577479916d760eafcfa0cfd"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CURRIC/EDPSYCH/LIS 803",
    "course_uid": "course_7a115c69d7d1ba025e387c69",
    "term_id": "1192",
    "term_name": "Fall 2018",
    "instructors": [
      "Matthew Berland"
    ],
    "a": 8,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 9,
    "source_aliases": [
      "CURRIC/EDPSYCH/LIS 803"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CURRIC/EDPSYCH/LIS 803",
    "course_uid": "course_7a115c69d7d1ba025e387c69",
    "term_id": "1212",
    "term_name": "Fall 2020",
    "instructors": [
      "Matthew Berland"
    ],
    "a": 0,
    "ab": 0,
    "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": 0,
    "source_aliases": [
      "CURRIC/EDPSYCH/LIS 803"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CURRIC/EDPSYCH/LIS 803",
    "course_uid": "course_7a115c69d7d1ba025e387c69",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "Matthew Berland"
    ],
    "a": 0,
    "ab": 0,
    "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": 0,
    "source_aliases": [
      "CURRIC/EDPSYCH/LIS 803"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CURRIC/EDPSYCH/LIS 803",
    "course_uid": "course_7a115c69d7d1ba025e387c69",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Matthew Berland"
    ],
    "a": 0,
    "ab": 0,
    "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": 0,
    "source_aliases": [
      "CURRIC/EDPSYCH/LIS 803"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CURRIC/EDPSYCH/LIS 803",
    "course_uid": "course_7a115c69d7d1ba025e387c69",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Matthew Berland"
    ],
    "a": 13,
    "ab": 0,
    "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": 13,
    "source_aliases": [
      "CURRIC/EDPSYCH/LIS 803"
    ]
  }
]
```

### statistics

#### gpa

4

#### graded

21

#### counts

* 21
* 0
* 0
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_7a115c69d7d1ba025e387c69-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_7a115c69d7d1ba025e387c69-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_7a115c69d7d1ba025e387c69-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_7a115c69d7d1ba025e387c69-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_7a115c69d7d1ba025e387c69-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_7a115c69d7d1ba025e387c69-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

4

#### count

21

#### departments

| subject | comparison |
| ------- | ---------- |
| CURRIC  |            |
| EDPSYCH |            |
| LIS     |            |

### terms

#### 1192

##### term

1192

##### gpa

4

##### count

8

##### departments

| subject | comparison |
| ------- | ---------- |
| CURRIC  |            |
| EDPSYCH |            |
| LIS     |            |

#### 1264

##### term

1264

##### gpa

4

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| CURRIC  |            |
| EDPSYCH |            |
| LIS     |            |

### benchmarks

#### all

##### school

###### size

3374

###### gpa

3.6702252371163855

###### top Share

82.59925375838353

###### count

91

##### CURRIC

###### size

61

###### gpa

3.9237509549714136

###### top Share

96.49672404511715

###### count

83

##### EDPSYCH

###### size

44

###### gpa

3.9199496461553562

###### top Share

96.98035146994152

###### count

47

##### LIS

###### size

50

###### gpa

3.8291612598928304

###### top Share

92.53314927970052

###### count

88.5

#### terms

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

###### CURRIC

###### size

13

###### gpa

3.9444360855319625

###### top Share

97.80243896529093

###### count

57

###### EDPSYCH

###### size

13

###### gpa

3.84284132414616

###### top Share

93.60031717722106

###### count

58

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

###### CURRIC

###### size

13

###### gpa

3.935190544748184

###### top Share

97.7556042443216

###### count

54

###### EDPSYCH

###### size

11

###### gpa

3.854643709993446

###### top Share

93.6886801168136

###### count

77

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### CURRIC

###### size

14

###### gpa

3.9238370880322018

###### top Share

95.5737470787448

###### count

73.5

###### EDPSYCH

###### size

10

###### gpa

3.7514046425316914

###### top Share

86.83075344784126

###### count

83.5

###### LIS

###### size

12

###### gpa

3.823506024254057

###### top Share

92.61444646373904

###### count

52.5

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### CURRIC

###### size

22

###### gpa

3.9252778773242927

###### top Share

96.55883157538388

###### count

77.5

###### EDPSYCH

###### size

10

###### gpa

3.787003551788036

###### top Share

90.13197068591639

###### count

95

###### LIS

###### size

22

###### gpa

3.812010001587644

###### top Share

91.12079947643103

###### count

64

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### CURRIC

###### size

16

###### gpa

3.895553674667825

###### top Share

95.97164230827802

###### count

61.5

###### LIS

###### size

26

###### gpa

3.7763648214424603

###### top Share

89.64354345968482

###### count

68.5

## instructor Trends

```json
[
  {
    "uid": "instructor_3577479916d760eafcfa0cfd",
    "name": "MATTHEW BERLAND",
    "count": 21,
    "terms": [
      {
        "term": "1192",
        "count": 8,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1264",
        "count": 13,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
