# Explore UW–Madison Courses, Grades & Prerequisites | UW Courses

[View on UW Courses](https://uwcourses.com/search?page=68)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

85abe9ff8837c2c5a134368dcc4cfc85eb723524b21ddeb3d2e953887d2f0c8f

### observed at

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

### built at

2026-09-11T07:45:51.576183+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    |

### deployed at

2026-09-14T22:20:22.015261+00:00

### site commit

6527d88010a9f0b640ed5434ce776c4215b60d90

## results

### items

```json
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    "course_uid": "course_e62904c8dbb00e335edc19cb",
    "course_id": "GENBUS 720",
    "title": "DATA VISUALIZATION FOR BUSINESS ANALYTICS",
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    "gpa": 3.691,
    "badges": [],
    "description": "GENBUS 720 teaches principles and hands-on application of data visualization tools for business analytics, decision-making, and presentation.",
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      "history": {
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          "course_uid": "course_e62904c8dbb00e335edc19cb",
          "uid": "instructor_1b2e8ed2fdc2c04938d4b88a",
          "name": "Qing Liu",
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          "instructor_url": "/instructors/QING_LIU"
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      "claim": null,
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  {
    "course_uid": "course_73ff49f48dd76cb6c56571ce",
    "course_id": "GENBUS 730",
    "title": "PRESCRIPTIVE MODELING AND OPTIMIZATION FOR BUSINESS ANALYTICS",
    "credits_min": 2,
    "credits_max": 3,
    "gpa": 3.77,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Fall 2025 · latest released grades before Fall 2026: 3.85 GPA across 146 letter grades, versus 3.63 for UW–Madison (1320 courses). Requires a difference of at least 0.20 and 30 letter grades. Historical outcomes, not predicted difficulty.",
        "sources": [
          {
            "label": "Grade history and sources",
            "href": "/courses/GENBUS_730#grades"
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        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 24.5 enrolled students across 2 recorded lecture sections. Small means 30 or fewer; large means 100 or more. Enrollment at scan time, not capacity or typical historical attendance.",
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    "description": "Introduction to prescriptive analytics fundamentals, focusing on business applications through modeling and optimization using Excel and Python.",
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      "term": "1272",
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          "course_uid": "course_73ff49f48dd76cb6c56571ce",
          "uid": "instructor_96fb8cd197dd6c8f63fd928c",
          "name": "KYUNGHEE SONG",
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          "course_uid": "course_73ff49f48dd76cb6c56571ce",
          "uid": "instructor_5920a958496b2410a5d4e7ad",
          "name": "Yu Ma",
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    "course_uid": "course_2cc57583acad3d953a5d003c",
    "course_id": "GENBUS 740",
    "title": "EXPERIMENTS AND CAUSAL METHODS FOR BUSINESS INSIGHTS",
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        "id": "lecture-size",
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        "tone": "neutral",
        "evidence": "Fall 2026: median 23.5 enrolled students across 2 recorded lecture sections. Small means 30 or fewer; large means 100 or more. Enrollment at scan time, not capacity or typical historical attendance.",
        "sources": [
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    "description": "Introduction to experimental and causal methods for driving business insights, covering randomized experiments and natural experiments.",
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          "name": "Leandro Carvalho",
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    "title": "BUSINESS PROCESS AUTOMATION USING ARTIFICIAL INTELLIGENCE",
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    "gpa": 3.861,
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        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.92 GPA across 86 letter grades, versus 3.62 for UW–Madison (1283 courses). Requires a difference of at least 0.20 and 30 letter grades. Historical outcomes, not predicted difficulty.",
        "sources": [
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            "href": "/courses/GENBUS_745#grades"
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    "description": "Explores AI for automating business processes, covering use cases and popular tools.",
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    "course_uid": "course_ff2acc219632bdd1ff5423f0",
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        "evidence": "Fall 2026: median 21.5 enrolled students across 2 recorded lecture sections. Small means 30 or fewer; large means 100 or more. Enrollment at scan time, not capacity or typical historical attendance.",
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        "count": 429,
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    "course_uid": "course_89f4a7bbd75a9d258426dabf",
    "course_id": "GENBUS 750",
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    "description": "GENBUS 750 is an internship course for MBA students to gain professional experience in their major.",
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    "course_uid": "course_05bf90f93cd632fab7dab908",
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    "gpa": 3.763,
    "badges": [
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        "id": "lecture-size",
        "label": "Small lectures",
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        "evidence": "Fall 2026: median 24 enrolled students across 2 recorded lecture sections. Small means 30 or fewer; large means 100 or more. Enrollment at scan time, not capacity or typical historical attendance.",
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      "term": "1272",
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      "history": {
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        "count": 645,
        "gpa": 3.7426356589147285,
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        "firstTerm": "1232",
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      "instructors": [
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          "course_uid": "course_05bf90f93cd632fab7dab908",
          "uid": "instructor_3812021bfd5ef0b7db87d82d",
          "name": "Jinan Lin",
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    "course_uid": "course_91226fe69e5101ac4eb0c7e0",
    "course_id": "GENBUS 780",
    "title": "CLOUD TECHNOLOGY FOR BUSINESS ANALYTICS",
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    "gpa": 3.915,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 22 enrolled students across 2 recorded lecture sections. Small means 30 or fewer; large means 100 or more. Enrollment at scan time, not capacity or typical historical attendance.",
        "sources": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/GENBUS_780#schedule"
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        ]
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    ],
    "description": "GENBUS 780 teaches cloud technology for business analytics, covering data analysis, machine learning, and data pipelines.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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        "count": 413,
        "gpa": 3.9152542372881354,
        "topShare": 95.64164648910412,
        "firstTerm": "1232",
        "lastTerm": "1262"
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      "instructors": [
        {
          "course_uid": "course_91226fe69e5101ac4eb0c7e0",
          "uid": "instructor_5a6dda7663ea51b03455e19d",
          "name": "Bipin Karunakaran",
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          "instructor_url": "/instructors/BIPIN_KARUNAKARAN"
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      "claim": null,
      "reviewFiles": []
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  {
    "course_uid": "course_49f49c69936bd20b3d9b122c",
    "course_id": "GENBUS 881",
    "title": "BUSINESS STATISTICS USING PYTHON",
    "credits_min": 2,
    "credits_max": 2,
    "gpa": 3.871,
    "badges": [],
    "description": "A statistics primer for business analysis covering probability, estimation, inference, correlation, and regression using Python.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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        "count": 194,
        "gpa": 3.8711340206185567,
        "topShare": 94.3298969072165,
        "firstTerm": "1242",
        "lastTerm": "1264"
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      "instructors": [],
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      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_8a0780473a26d22f1a8670c2",
    "course_id": "GENBUS 882",
    "title": "DATA EXPLORATION WITH SQL AND ARTIFICIAL INTELLIGENCE (AI)",
    "credits_min": 2,
    "credits_max": 2,
    "gpa": 3.871,
    "badges": [],
    "description": "GENBUS 882 teaches data exploration with SQL and AI, focusing on generating and auditing SQL code.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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        "count": 194,
        "gpa": 3.8711340206185567,
        "topShare": 94.84536082474226,
        "firstTerm": "1242",
        "lastTerm": "1264"
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      "instructors": [],
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      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_04e99793b32064d1d2d6fa22",
    "course_id": "GENBUS 883",
    "title": "DATA VISUALIZATION & CLOUD TECHNOLOGIES",
    "credits_min": 2,
    "credits_max": 2,
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## discovery Filtered

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