# COMPSCI 574: Data Management for Data Science | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/COMPSCI_574)

## 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

b906e7f683935641c793c582ae3ba428cf170589003160b547c93564d8c3ce25

### course id

COMPSCI 574

### course uid

course\_e2127d774d1519c358b75a95

### catalog version id

76b83b29c24b91f12ee12315d810e9a45c4849802d84d34569eb2322b4317040

### course number

574

### subjects

* COMPSCI

### title

DATA MANAGEMENT FOR DATA SCIENCE

### description

An introduction to the principles and practices of managing and exploring different kinds of data. Work with both relational databases and Not only SQL (NoSQL) databases to organize and analyze structured, semi-structured, and unstructured data. Write basic queries, forecast  time-series data, and evaluate data quality and patterns through exploratory data analysis. Explore data cleaning techniques such as interpolation and imputation, to address missing or inconsistent values. Apply data engineering techniques, including data pipelines, data warehouses, and processes for moving and transforming data using Extract-Transform-Load (ETL) and Extract-Load-Transform (ELT). Learn how modern language models can be adapted using contextual information from custom datasets and strengthened with techniques that incorporate external knowledge sources.

### requirements text

COMP SCI 320,400, or graduate/professional standing

### credits min

3

### credits max

3

### credit offering ids

* 1272:266:027413

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

902aa9ae82ccb54ddfa66322c374cf37062971c0f6400b816d5c8ebb51c36d9f

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

COMPSCI 574 introduces data management principles, covering relational and NoSQL databases, ETL processes, and language model adaptation.

### llm topics

* Relational and NoSQL databases, data cleaning, and data engineering pipelines.

### llm skills

* Data querying, forecasting, ETL/ELT pipelines, and LLM adaptation.

### llm assumed background

* Programming fundamentals and Python data analysis experience.

### llm search phrases

* data management data science
* NoSQL relational databases
* data engineering ETL ELT
* data cleaning imputation
* language models adaptation

### llm requirements status

needs\_review

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

c4a7d1fc26800a6ddee2532e1d1c775b9522a6d23f77f62d77be3a8bb2e146ec

#### course id

COMPSCI 574

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_5bd2c4ff991baae4194e3e00",
    "message": "No course-specific reviews available",
    "name": "Meena Syamkumar",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": "rmp:2274671",
    "summary": []
  }
]
```

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

true

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

None recorded.

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [
      "n1",
      "n2"
    ],
    "condition": null,
    "course": null,
    "evidence": "COMP SCI 320,400, or graduate/professional standing",
    "id": "n0",
    "kind": "any"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 320,
      "minimum_grade": null,
      "subjects": [
        "COMPSCI"
      ],
      "timing": "prior"
    },
    "evidence": "COMP SCI 320",
    "id": "n1",
    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 400,
      "minimum_grade": null,
      "subjects": [
        "COMPSCI"
      ],
      "timing": "prior"
    },
    "evidence": "400",
    "id": "n2",
    "kind": "course"
  }
]
```

#### notes

* The term 'graduate/professional standing' is a condition leaf but lacks a linked course reference; it is treated as a verbatim condition in the 'any' group alongside the courses. However, the provided linked\_courses only include 320 and 400
* The requirements text 'COMP SCI 320,400, or graduate/professional standing' is parsed as an OR group. The courses 320 and 400 are linked. The standing requirement is not linked to a specific course node in linked\_courses.

#### root

n0

#### status

needs\_review

### instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name            | email           | first\_observed\_at              | last\_observed\_at               | instructor\_url               |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | --------------- | --------------- | -------------------------------- | -------------------------------- | ----------------------------- |
| instructor\_5bd2c4ff991baae4194e3e00 | enrollment | msyamkumar             | netid           | source\_identified | Meena Syamkumar | MS\@CS.WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MEENA\_SYAMKUMAR |

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:266:027413",
    "course_id": "COMPSCI 574",
    "course_uid": "course_e2127d774d1519c358b75a95",
    "term_id": "1272",
    "source_course_id": "027413",
    "source_subject_id": "266",
    "title": "Data Management for Data Science",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:37179",
    "term_id": "1272",
    "source_section_id": "37179",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 175,
    "enrolled": 144,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  }
]
```

### grade instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name            | email           | first\_observed\_at              | last\_observed\_at               | instructor\_url               |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | --------------- | --------------- | -------------------------------- | -------------------------------- | ----------------------------- |
| instructor\_5bd2c4ff991baae4194e3e00 | enrollment | msyamkumar             | netid           | source\_identified | Meena Syamkumar | MS\@CS.WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MEENA\_SYAMKUMAR |

### grades

None recorded.

### statistics

#### graded

0

#### counts

* 0
* 0
* 0
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_e2127d774d1519c358b75a95-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_e2127d774d1519c358b75a95-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_e2127d774d1519c358b75a95-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_e2127d774d1519c358b75a95-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_e2127d774d1519c358b75a95-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_e2127d774d1519c358b75a95-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_e2127d774d1519c358b75a95-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_e2127d774d1519c358b75a95-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## instructor Trends

None recorded.

## following

None recorded.