# Hardest courses in Real Estate and Urban Land Economics | UW–Madison

[View on UW Courses](https://uwcourses.com/departments/REALEST/hardest)

## 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    |

## subject

REALEST

## collection

hardest

## results

### items

```json
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    "course_uid": "course_9adbac5d0c676755c49923ee",
    "course_id": "REALEST 410",
    "title": "REAL ESTATE FINANCE",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.273,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Lower grades",
        "tone": "negative",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.43 GPA across 114 letter grades, versus 3.66 for Real Estate and Urban Land Economics (10 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/REALEST_410#grades"
          }
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      }
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    "description": "REAL ESTATE FINANCE covers fundamentals of real estate finance, commercial property cash flow, valuation, and investor returns.",
    "discovery": {
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      "offered": true,
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          3
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        "count": 1100,
        "gpa": 3.2813636363636363,
        "topShare": 55.90909090909091,
        "firstTerm": "1224",
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      "instructors": [
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          "uid": "instructor_92ddd216d120dfe96954d4cb",
          "name": "Abdullah Yavas",
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          "instructor_url": "/instructors/ABDULLAH_YAVAS"
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          "name": "Bill Camp",
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  {
    "course_uid": "course_cc22b781e5232235701ee34d",
    "course_id": "REALEST 415",
    "title": "VALUATION OF REAL ESTATE",
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    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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      "instructors": [
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          "name": "Michael Schlicting",
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    "course_uid": "course_938675495ccb91ed188c8f21",
    "course_id": "REALEST 710",
    "title": "REAL ESTATE FINANCE",
    "credits_min": 3,
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    "gpa": 3.475,
    "badges": [
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        "tone": "neutral",
        "evidence": "Fall 2026: median 16.5 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": "REALEST 710 teaches real estate finance, focusing on financing, leverage, valuation, and secondary mortgage markets.",
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          "name": "Abdullah Yavas",
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          "name": "Bill Camp",
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  {
    "course_uid": "course_3de8425e363ca26bc0a03fc3",
    "course_id": "REALEST 411",
    "title": "REAL ESTATE EXCEL MODELING",
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    "badges": [
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        "id": "lecture-size",
        "label": "Large lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 109.5 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 real estate modeling using Excel for acquisition and development transactions.",
    "discovery": {
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      "history": {
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        "count": 708,
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  },
  {
    "course_uid": "course_50007f8455de756ef2745b4c",
    "course_id": "ECON/REALEST/URBRPL 420",
    "title": "URBAN AND REGIONAL ECONOMICS",
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    "gpa": 3.399,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 16 enrolled students across 9 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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            "label": "Sections and enrollment",
            "href": "/courses/ECON_REALEST_URBRPL_420#schedule"
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    ],
    "description": "Urban and Regional Economics applies economic methods to analyze urban real estate, land use, and housing markets.",
    "discovery": {
      "term": "1272",
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      "history": {
        "counts": [
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        "count": 1399,
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      "claim": {
        "citations": [
          {
            "instructor_name": "Yongheng Deng",
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            "review_id": "20a2bc026373002dff1f7cff",
            "run_id": "20260907T155543-ce3781c4",
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        "text": "Historical reviews of Yongheng Deng: Homework can be difficult, though in-class guidance on assignments helps clarify the material."
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        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_50007f8455de756ef2745b4c-0.json"
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  {
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    "title": "REAL ESTATE ARGUS MODELING",
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    "credits_max": 1,
    "gpa": 3.512,
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    "description": "Introduction to real estate modeling using ARGUS for acquisition transactions.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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        "count": 689,
        "gpa": 3.511611030478955,
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          "uid": "instructor_c575323f7d4f16c16f77ee27",
          "name": "Michael Schlicting",
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          "quality_count": 12,
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          "course_uid": "course_20391385b8bd657cfb9eda1a",
          "uid": "instructor_096d4fa2d4c4757c066e4fe4",
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  {
    "course_uid": "course_509e8649c9ace7a9a87d1d4d",
    "course_id": "REALEST 715",
    "title": "TECHNIQUES OF REAL ESTATE VALUATION",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.627,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 13 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/REALEST_715#schedule"
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    ],
    "description": "REALEST 715 teaches core real estate valuation techniques including highest and best use, market comparison, income capitalization, and cost approaches.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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        "count": 249,
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          "course_uid": "course_509e8649c9ace7a9a87d1d4d",
          "uid": "instructor_f40c50ae2ce425577fe838cc",
          "name": "Chase Zadnik",
          "quality": 3.8830714862888294,
          "quality_count": 4,
          "instructor_url": "/instructors/CHASE_ZADNIK"
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          "course_uid": "course_509e8649c9ace7a9a87d1d4d",
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  {
    "course_uid": "course_533c1ff8ca30b4d79daf6785",
    "course_id": "REALEST 530",
    "title": "REAL ESTATE INVESTMENT ANALYSIS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.551,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 15 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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            "label": "Sections and enrollment",
            "href": "/courses/REALEST_530#schedule"
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        ]
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    ],
    "description": "A capstone course teaching comprehensive underwriting and investment analysis for commercial real estate.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
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          93,
          13,
          3,
          1,
          1
        ],
        "count": 461,
        "gpa": 3.5509761388286334,
        "topShare": 75.92190889370933,
        "firstTerm": "1234",
        "lastTerm": "1264"
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      "instructors": [
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          "course_uid": "course_533c1ff8ca30b4d79daf6785",
          "uid": "instructor_8fa6c91e096c5292d5910597",
          "name": "Mark Eppli",
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          "instructor_url": "/instructors/MARK_EPPLI"
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```

### total

17

### page

1

### kind

course

### q



### term

1272

### availability

offered

### filters

#### ranking

hardest

#### subject

REALEST
