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

[View on UW Courses](https://uwcourses.com/search?page=21)

## 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

2026-09-11T14:34:52.039704+00:00

### site commit

4f9aafb67b2c36f65ae6e8bf0d821d020b2c6eac

## results

### items

```json
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    "course_uid": "course_758e73af380877aee172659d",
    "course_id": "BME/ECE 462",
    "title": "MEDICAL INSTRUMENTATION",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.383,
    "badges": [
      {
        "id": "rated-teacher",
        "label": "Highly rated instructor",
        "tone": "positive",
        "evidence": "Fall 2026: Amit Nimunkar (4.00/5 adjusted; 28 ratings). At least one assigned instructor qualifies. This describes instructor reviews across courses, not a course rating.",
        "sources": [
          {
            "label": "Amit Nimunkar",
            "href": "/instructors/AMIT_NIMUNKAR"
          }
        ]
      },
      {
        "id": "grade-outcomes",
        "label": "Lower grades",
        "tone": "negative",
        "evidence": "Fall 2025 · latest released grades before Fall 2026: 3.33 GPA across 38 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/BME_ECE_462#grades"
          }
        ]
      },
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 19 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/BME_ECE_462#schedule"
          }
        ]
      }
    ],
    "description": "MEDICAL INSTRUMENTATION covers the design and application of electrodes, biosensors, and medical imaging systems with a focus on electrical safety and physiological measurements.",
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        "count": 132,
        "gpa": 3.284090909090909,
        "topShare": 58.333333333333336,
        "firstTerm": "1232",
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      "instructors": [
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        {
          "course_uid": "course_758e73af380877aee172659d",
          "uid": "instructor_776e90747c0f9ed2a622e0c6",
          "name": "Royal Oakes",
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          "instructor_url": "/instructors/ROYAL_OAKES"
        }
      ],
      "instructorHistory": null,
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      "claim": {
        "citations": [
          {
            "instructor_name": "Amit Nimunkar",
            "review_date": "2021-08-09 20:28:01 +0000 UTC",
            "review_id": "6dd3059c3d1ef29347a58e3f",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:344130",
            "source_review_id": "UmF0aW5nLTM1MDE2NTEx",
            "source_url": "https://www.ratemyprofessors.com/professor/344130",
            "type": "review"
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        ],
        "text": "The class is considered easy, though one review notes irregular homework, unpredictable prelab quizzes, and delayed grading."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_758e73af380877aee172659d-0.json"
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    "course_uid": "course_b74603a4d7511b405ff5ed58",
    "course_id": "BME/ECE/MEDPHYS 778",
    "title": "MACHINE LEARNING IN ULTRASOUND IMAGING",
    "credits_min": 3,
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    "gpa": null,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 2 enrolled students across 3 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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            "href": "/courses/BME_ECE_MEDPHYS_778#schedule"
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    "description": "Covers machine learning and deep learning techniques for ultrasound imaging, including beamforming, reconstruction, and image analysis.",
    "discovery": {
      "term": "1272",
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      "instructors": [
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          "course_uid": "course_b74603a4d7511b405ff5ed58",
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          "name": "Tomy Varghese",
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    "course_uid": "course_db3342f94713bb377596ddc4",
    "course_id": "BME/HONCOL/MEDPHYS/PHYSICS 501",
    "title": "RADIATION PHYSICS AND DOSIMETRY",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.633,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 23 enrolled students across 1 recorded lecture section. 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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            "href": "/courses/BME_HONCOL_MEDPHYS_PHYSICS_501#schedule"
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    "description": "Radiation Physics and Dosimetry covers ionizing radiation interactions, radiological physics concepts, and dosimetry methods.",
    "discovery": {
      "term": "1272",
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      "history": {
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        "count": 79,
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          "course_uid": "course_db3342f94713bb377596ddc4",
          "uid": "instructor_2d2b93eb3d9626a67edde6d9",
          "name": "Ahtesham Khan",
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          "uid": "instructor_17e8ff82bfcbd773b3f80c62",
          "name": "Jackie Austin",
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          "instructor_url": "/instructors/JACKIE_AUSTIN"
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    "course_uid": "course_76368c5af1294a641c3312e4",
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    "title": "ORTHOPAEDIC BIOMECHANICS - DESIGN OF ORTHOPAEDIC IMPLANTS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.916,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Fall 2025 · latest released grades before Fall 2026: 3.96 GPA across 35 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": [
          {
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            "href": "/courses/BME_ME_414#grades"
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      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 17 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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            "href": "/courses/BME_ME_414#schedule"
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    ],
    "description": "Covers the design process for orthopaedic implants, including joint anatomy, loading, materials, and preclinical testing.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
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        "count": 169,
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      "instructors": [
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          "uid": "instructor_29e723ec1a9358cb2781cb29",
          "name": "Josh Roth",
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    "course_uid": "course_649f0b6b8a9d4c30d3695553",
    "course_id": "BME/ME 615",
    "title": "TISSUE MECHANICS",
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    "gpa": 3.593,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 15.5 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": "Examines the solid mechanics of musculoskeletal and cardiovascular tissues, including their normal and pathological behaviors under physiologic loading.",
    "discovery": {
      "term": "1272",
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      "history": {
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          3,
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        "count": 135,
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          "course_uid": "course_649f0b6b8a9d4c30d3695553",
          "uid": "instructor_11b96c28244d940837482fc3",
          "name": "Corinne Henak",
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          "instructor_url": "/instructors/CORINNE_HENAK"
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          "uid": "instructor_140e2157310fa870d009dc9b",
          "name": "Sarah Raubenstine",
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          "quality_count": null,
          "instructor_url": "/instructors/SARAH_RAUBENSTINE"
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      "reviewFiles": []
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    "course_uid": "course_30d647d38f72c5e7aa0567ad",
    "course_id": "BME/ME 715",
    "title": "ADVANCED TISSUE MECHANICS",
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    "credits_max": 3,
    "gpa": null,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 5.5 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/BME_ME_715#schedule"
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        ]
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    ],
    "description": "Covers solid mechanics applied to soft tissues, including large deformation strain analysis, stress computation, hyperelastic constitutive modeling, tissue growth/remodeling, and failure theories.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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        "count": 0,
        "gpa": null,
        "topShare": null
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      "instructors": [
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          "course_uid": "course_30d647d38f72c5e7aa0567ad",
          "uid": "instructor_bafcd12057e990221d3c03e6",
          "name": "Colleen Witzenburg",
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          "instructor_url": "/instructors/COLLEEN_WITZENBURG"
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      "instructorHistory": null,
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      "reviewFiles": []
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  },
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    "course_uid": "course_30757251d70a1f5607591ee1",
    "course_id": "BME/MEDPHYS 573",
    "title": "MATHEMATICAL METHODS IN MEDICAL PHYSICS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.753,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 14 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/BME_MEDPHYS_573#schedule"
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    "description": "Covers mathematical fundamentals for medical physics, including signal analysis and optimization.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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          23,
          14,
          1,
          0,
          0,
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        "count": 81,
        "gpa": 3.6666666666666665,
        "topShare": 81.48148148148148,
        "firstTerm": "1232",
        "lastTerm": "1262"
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      "instructors": [
        {
          "course_uid": "course_30757251d70a1f5607591ee1",
          "uid": "instructor_872a02efd4089974b9672882",
          "name": "Diego Hernando Arribas",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/DIEGO_HERNANDO_ARRIBAS"
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          "course_uid": "course_30757251d70a1f5607591ee1",
          "uid": "instructor_a9d4cbd73c7b1b525122c4e2",
          "name": "Max Dimberg",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MAX_DIMBERG"
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      "instructorHistory": null,
      "courseComparison": null,
      "claim": null,
      "reviewFiles": []
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  },
  {
    "course_uid": "course_2581f535b6ba2409e6b3ef1b",
    "course_id": "BME/MEDPHYS 710",
    "title": "ADVANCES IN MEDICAL MAGNETIC RESONANCE",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.876,
    "badges": [
      {
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