# Easiest courses in Statistics | UW–Madison

[View on UW Courses](https://uwcourses.com/departments/STAT/easiest)

## 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

STAT

## collection

easiest

## results

### items

```json
[
  {
    "course_uid": "course_821b8b9c055e8ecd0e25a516",
    "course_id": "STAT 992",
    "title": "SEMINAR",
    "credits_min": 1,
    "credits_max": 3,
    "gpa": 3.954,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 4.00 GPA across 55 letter grades, versus 3.34 for Statistics (26 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/STAT_992#grades"
          }
        ]
      },
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 12 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_992#schedule"
          }
        ]
      }
    ],
    "description": "STAT 992 is a graduate-level seminar covering special topics in statistics, with subject matter varying by offering.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          411,
          8,
          2,
          0,
          0,
          0,
          0
        ],
        "count": 421,
        "gpa": 3.985748218527316,
        "topShare": 99.5249406175772,
        "firstTerm": "1232",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_821b8b9c055e8ecd0e25a516",
          "uid": "instructor_de7437eae3d2b6ae3e16cc25",
          "name": "Garvesh Raskutti",
          "quality": 3.6715357431444153,
          "quality_count": 28,
          "instructor_url": "/instructors/GARVESH_RASKUTTI"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Joshua Cape",
            "review_date": "2023-08-31 17:17:31 +0000 UTC",
            "review_id": "df0974a04bd34b181adeafaa",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2835627",
            "source_review_id": "UmF0aW5nLTM4MTk4MTUy",
            "source_url": "https://www.ratemyprofessors.com/professor/2835627",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Joshua Cape: The review does not specify workload or difficulty, only noting the material is delivered in an easy-to-understand way."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_821b8b9c055e8ecd0e25a516-0.json"
      ]
    }
  },
  {
    "course_uid": "course_dec5d5852b060024b87f5ac8",
    "course_id": "STAT 628",
    "title": "DATA SCIENCE PRACTICUM",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.892,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 18 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_628#schedule"
          }
        ]
      }
    ],
    "description": "Turns statistics concepts into practice through data science practicums inspired by realistic projects.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          175,
          30,
          8,
          0,
          0,
          0,
          0
        ],
        "count": 213,
        "gpa": 3.892018779342723,
        "topShare": 96.24413145539906,
        "firstTerm": "1232",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_dec5d5852b060024b87f5ac8",
          "uid": "instructor_4cd2130743ca159fa112f0bd",
          "name": "Bret Larget",
          "quality": 3.4527288912435083,
          "quality_count": 29,
          "instructor_url": "/instructors/BRET_LARGET"
        },
        {
          "course_uid": "course_dec5d5852b060024b87f5ac8",
          "uid": "instructor_78816c3a97b88702c28f569f",
          "name": "Zhanpeng Xu",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ZHANPENG_XU"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Hyunseung Kang",
            "review_date": "2022-11-25 00:25:29 +0000 UTC",
            "review_id": "320ab5a52747a2d12f8627bb",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2234533",
            "source_review_id": "UmF0aW5nLTM2ODg5Njky",
            "source_url": "https://www.ratemyprofessors.com/professor/2234533",
            "type": "review"
          },
          {
            "instructor_name": "Hyunseung Kang",
            "review_date": "2023-10-25 17:46:25 +0000 UTC",
            "review_id": "d45934441bd2c2affcaad463",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2234533",
            "source_review_id": "UmF0aW5nLTM4MzA4NTg5",
            "source_url": "https://www.ratemyprofessors.com/professor/2234533",
            "type": "review"
          },
          {
            "instructor_name": "Hyunseung Kang",
            "review_date": "2023-12-27 23:28:41 +0000 UTC",
            "review_id": "e8e123f510025ddf86cbc210",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2234533",
            "source_review_id": "UmF0aW5nLTM4ODAxNDY0",
            "source_url": "https://www.ratemyprofessors.com/professor/2234533",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Hyunseung Kang: The class is a lot of work, with grades heavily dependent on randomly assigned group projects and unclear grading criteria."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_dec5d5852b060024b87f5ac8-0.json"
      ]
    }
  },
  {
    "course_uid": "course_6fd1a9b69697ce26f5edccf4",
    "course_id": "STAT 605",
    "title": "DATA SCIENCE COMPUTING PROJECT",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.854,
    "badges": [
      {
        "id": "rated-teacher",
        "label": "Highly rated instructor",
        "tone": "positive",
        "evidence": "Fall 2026: John Gillett (4.22/5 adjusted; 67 ratings). At least one assigned instructor qualifies. This describes instructor reviews across courses, not a course rating.",
        "sources": [
          {
            "label": "John Gillett",
            "href": "/instructors/JOHN_GILLETT"
          }
        ]
      },
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 15 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_605#schedule"
          }
        ]
      }
    ],
    "description": "STAT 605 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          180,
          18,
          6,
          2,
          1,
          1,
          0
        ],
        "count": 208,
        "gpa": 3.889423076923077,
        "topShare": 95.1923076923077,
        "firstTerm": "1232",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_6fd1a9b69697ce26f5edccf4",
          "uid": "instructor_4d0f89219b9efbef40920d35",
          "name": "John Gillett",
          "quality": 4.222111674378527,
          "quality_count": 67,
          "instructor_url": "/instructors/JOHN_GILLETT"
        },
        {
          "course_uid": "course_6fd1a9b69697ce26f5edccf4",
          "uid": "instructor_05c51e51dfbeab703c25aeaf",
          "name": "Ming Pei",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MING_PEI"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_41d1928ddf8536080547d0f0",
    "course_id": "ECE/MATH/STAT 888",
    "title": "TOPICS IN MATHEMATICAL DATA SCIENCE",
    "credits_min": 1,
    "credits_max": 3,
    "gpa": 3.894,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 6 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/ECE_MATH_STAT_888#schedule"
          }
        ]
      }
    ],
    "description": "ECE/MATH/STAT 888 covers advanced topics in the mathematical foundations of data science.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          108,
          18,
          0,
          0,
          0,
          0,
          2
        ],
        "count": 128,
        "gpa": 3.8671875,
        "topShare": 98.4375,
        "firstTerm": "1232",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_41d1928ddf8536080547d0f0",
          "uid": "instructor_e1d5923716e3898909bb847b",
          "name": "Ulugbek Kamilov",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ULUGBEK_KAMILOV"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_1282dc8dbc1e7c5749f7cc41",
    "course_id": "STAT 479",
    "title": "SPECIAL TOPICS IN STATISTICS",
    "credits_min": 1,
    "credits_max": 3,
    "gpa": 3.689,
    "badges": [],
    "description": "STAT 479 covers special topics in statistics of interest to undergraduate students.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          370,
          43,
          32,
          14,
          10,
          1,
          0
        ],
        "count": 470,
        "gpa": 3.7925531914893615,
        "topShare": 87.87234042553192,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_1282dc8dbc1e7c5749f7cc41",
          "uid": "instructor_7f1ec350dd38b38a0d4762c0",
          "name": "Matthias Katzfuss",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MATTHIAS_KATZFUSS"
        },
        {
          "course_uid": "course_1282dc8dbc1e7c5749f7cc41",
          "uid": "instructor_e84a7ce0623963455f431057",
          "name": "Zexuan Sun",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ZEXUAN_SUN"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Karl Rohe",
            "review_date": "2017-05-07 22:31:33 +0000 UTC",
            "review_id": "b6ab521d0fa1a65694e93347",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1801396",
            "source_review_id": "UmF0aW5nLTI4MjQxNjI4",
            "source_url": "https://www.ratemyprofessors.com/professor/1801396",
            "type": "review"
          },
          {
            "instructor_name": "Kris Sankaran",
            "review_date": "2021-04-11 22:11:43 +0000 UTC",
            "review_id": "5aacaadd5d9b873bb3cc50aa",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2658955",
            "source_review_id": "UmF0aW5nLTM0NTMzODMy",
            "source_url": "https://www.ratemyprofessors.com/professor/2658955",
            "type": "review"
          },
          {
            "instructor_name": "John Gillett",
            "review_date": "2022-04-23 05:18:19 +0000 UTC",
            "review_id": "f87876d854ab204451e63331",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTM2MTM1MTgw",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          },
          {
            "instructor_name": "John Gillett",
            "review_date": "2022-05-07 22:13:12 +0000 UTC",
            "review_id": "17f1ce3cc54871fcba37001f",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTM2Mjc1MDky",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          },
          {
            "instructor_name": "John Gillett",
            "review_date": "2022-05-27 18:16:15 +0000 UTC",
            "review_id": "ebb3218851b83090b542a715",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTM2NDE1MTI4",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          },
          {
            "instructor_name": "Kris Sankaran",
            "review_date": "2026-05-05 01:52:15 +0000 UTC",
            "review_id": "e9803226419dc9cdc482cfa4",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2658955",
            "source_review_id": "UmF0aW5nLTQzMDI2Mjgx",
            "source_url": "https://www.ratemyprofessors.com/professor/2658955",
            "type": "review"
          }
        ],
        "text": "Historical reviews of John Gillett, Karl Rohe, Kris Sankaran: Workload varies by instructor; Gillett’s course required independent Linux learning and debugging, while Sankaran’s recent term involved graduate-level assignments. Sankaran’s earlier terms featured spread-out homeworks, and Rohe provided few guidelines."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_1282dc8dbc1e7c5749f7cc41-0.json"
      ]
    }
  },
  {
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "course_id": "STAT 303",
    "title": "R FOR STATISTICS I",
    "credits_min": 1,
    "credits_max": 1,
    "gpa": 3.736,
    "badges": [
      {
        "id": "rated-teacher",
        "label": "Highly rated instructor",
        "tone": "positive",
        "evidence": "Fall 2026: John Gillett (4.22/5 adjusted; 67 ratings). At least one assigned instructor qualifies. This describes instructor reviews across courses, not a course rating.",
        "sources": [
          {
            "label": "John Gillett",
            "href": "/instructors/JOHN_GILLETT"
          }
        ]
      },
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.91 GPA across 191 letter grades, versus 3.34 for Statistics (26 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/STAT_303#grades"
          }
        ]
      },
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 27 enrolled students across 5 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/STAT_303#schedule"
          }
        ]
      }
    ],
    "description": "STAT 303 teaches using the R language to manipulate data and perform exploratory data analysis.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          928,
          104,
          93,
          20,
          18,
          6,
          6
        ],
        "count": 1175,
        "gpa": 3.78468085106383,
        "topShare": 87.82978723404256,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_9d705456a9a3f278c1b60cc6",
          "uid": "instructor_4d0f89219b9efbef40920d35",
          "name": "John Gillett",
          "quality": 4.222111674378527,
          "quality_count": 67,
          "instructor_url": "/instructors/JOHN_GILLETT"
        },
        {
          "course_uid": "course_9d705456a9a3f278c1b60cc6",
          "uid": "instructor_549402aaa3fc02311c4c262e",
          "name": "Bo Yang",
          "quality": 2.2009699430385776,
          "quality_count": 56,
          "instructor_url": "/instructors/BO_YANG"
        },
        {
          "course_uid": "course_9d705456a9a3f278c1b60cc6",
          "uid": "instructor_05c51e51dfbeab703c25aeaf",
          "name": "Ming Pei",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MING_PEI"
        },
        {
          "course_uid": "course_9d705456a9a3f278c1b60cc6",
          "uid": "instructor_f0cd815c302d74748eeeee6d",
          "name": "Zhifeng Chen",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ZHIFENG_CHEN"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Bo Yang",
            "review_date": "2020-10-01 05:33:21 +0000 UTC",
            "review_id": "451f6f9b84f52eb12df270c9",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2107418",
            "source_review_id": "UmF0aW5nLTMzNjcyNDAy",
            "source_url": "https://www.ratemyprofessors.com/professor/2107418",
            "type": "review"
          },
          {
            "instructor_name": "John Gillett",
            "review_date": "2021-08-06 16:00:33 +0000 UTC",
            "review_id": "91430a1c0e58979452ff0122",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTM1MDEwNzI5",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          },
          {
            "instructor_name": "John Gillett",
            "review_date": "2024-06-14 21:38:51 +0000 UTC",
            "review_id": "4bdec4b284dae4c8968e466e",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTM5NTcyNjkz",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          }
        ],
        "text": "The course involves multiple quizzes, homework assignments, and an exam, with reviewers noting the workload is substantial despite the straightforward nature of the tasks."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_9d705456a9a3f278c1b60cc6-0.json"
      ]
    }
  },
  {
    "course_uid": "course_b39b93337ad24a2a65ba3267",
    "course_id": "STAT 305",
    "title": "R FOR STATISTICS III",
    "credits_min": 1,
    "credits_max": 1,
    "gpa": 3.8,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.81 GPA across 35 letter grades, versus 3.34 for Statistics (26 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/STAT_305#grades"
          }
        ]
      },
      {
        "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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_305#schedule"
          }
        ]
      }
    ],
    "description": "STAT 305 teaches students to use the R statistical language and integrate it with high performance computing tools for scientific computing.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          204,
          24,
          18,
          6,
          7,
          0,
          1
        ],
        "count": 260,
        "gpa": 3.7807692307692307,
        "topShare": 87.6923076923077,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_b39b93337ad24a2a65ba3267",
          "uid": "instructor_549402aaa3fc02311c4c262e",
          "name": "Bo Yang",
          "quality": 2.2009699430385776,
          "quality_count": 56,
          "instructor_url": "/instructors/BO_YANG"
        },
        {
          "course_uid": "course_b39b93337ad24a2a65ba3267",
          "uid": "instructor_f0cd815c302d74748eeeee6d",
          "name": "Zhifeng Chen",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ZHIFENG_CHEN"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_c2e6061930ed37ee952c1060",
    "course_id": "COMPSCI/STAT 403",
    "title": "INTERNSHIP COURSE IN COMP SCI AND DATA SCIENCE",
    "credits_min": 1,
    "credits_max": 1,
    "gpa": 3.756,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 1 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/COMPSCI_STAT_403#schedule"
          }
        ]
      }
    ],
    "description": "COMPSCI/STAT 403 allows students to earn academic credit for outside internships related to Computer Sciences or Data Science programs.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          75,
          18,
          5,
          3,
          0,
          0,
          1
        ],
        "count": 102,
        "gpa": 3.7794117647058822,
        "topShare": 91.17647058823529,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_c2e6061930ed37ee952c1060",
          "uid": "instructor_912a76ad78ca345d41f7421d",
          "name": "Jinda Moore",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/JINDA_MOORE"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_4c67a24aa1091c6bb6189230",
    "course_id": "BMI/STAT 541",
    "title": "INTRODUCTION TO BIOSTATISTICS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.731,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Fall 2025 · latest released grades before Fall 2026: 3.89 GPA across 106 letter grades, versus 3.42 for Statistics (29 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/BMI_STAT_541#grades"
          }
        ]
      },
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 16 enrolled students across 4 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/BMI_STAT_541#schedule"
          }
        ]
      }
    ],
    "description": "Introduction to biostatistics for biomedical researchers, covering descriptive statistics, hypothesis testing, regression, and survival analysis with biomedical applications.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          233,
          37,
          31,
          6,
          4,
          0,
          2
        ],
        "count": 313,
        "gpa": 3.7619808306709266,
        "topShare": 86.26198083067092,
        "firstTerm": "1232",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_4c67a24aa1091c6bb6189230",
          "uid": "instructor_18efe2de9081624a52343124",
          "name": "Christina Newton",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/CHRISTINA_NEWTON"
        },
        {
          "course_uid": "course_4c67a24aa1091c6bb6189230",
          "uid": "instructor_bbc4ba26098514620e53d8ff",
          "name": "Zhengzheng Tang",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ZHENGZHENG_TANG"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Ismor Fischer",
            "review_date": "2009-05-31 15:03:50 +0000 UTC",
            "review_id": "5b4ea8412545acee8e36de93",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:355768",
            "source_review_id": "UmF0aW5nLTE1OTE3MTQ4",
            "source_url": "https://www.ratemyprofessors.com/professor/355768",
            "type": "review"
          },
          {
            "instructor_name": "Mary Lindstrom",
            "review_date": "2014-01-07 11:42:03 +0000 UTC",
            "review_id": "250e70317eab0c75727deb91",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1872767",
            "source_review_id": "UmF0aW5nLTIyNzEwNzk2",
            "source_url": "https://www.ratemyprofessors.com/professor/1872767",
            "type": "review"
          },
          {
            "instructor_name": "Mary Lindstrom",
            "review_date": "2014-07-14 23:51:17 +0000 UTC",
            "review_id": "0242e2865f69c0c8d024596b",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1872767",
            "source_review_id": "UmF0aW5nLTIzNDQ1NzAy",
            "source_url": "https://www.ratemyprofessors.com/professor/1872767",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Ismor Fischer, Mary Lindstrom: Reviewers describe the course as easy, with take-home or open-note exams. Prior intro stats knowledge makes the material manageable."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_4c67a24aa1091c6bb6189230-0.json"
      ]
    }
  },
  {
    "course_uid": "course_2364ea4d92955fbad9988956",
    "course_id": "STAT 304",
    "title": "R FOR STATISTICS II",
    "credits_min": 1,
    "credits_max": 1,
    "gpa": 3.793,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.77 GPA across 64 letter grades, versus 3.34 for Statistics (26 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/STAT_304#grades"
          }
        ]
      }
    ],
    "description": "STAT 304 teaches advanced R programming skills for statistics, including data manipulation, text extraction, and visualization.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          370,
          58,
          49,
          13,
          10,
          1,
          1
        ],
        "count": 502,
        "gpa": 3.75199203187251,
        "topShare": 85.2589641434263,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_2364ea4d92955fbad9988956",
          "uid": "instructor_549402aaa3fc02311c4c262e",
          "name": "Bo Yang",
          "quality": 2.2009699430385776,
          "quality_count": 56,
          "instructor_url": "/instructors/BO_YANG"
        },
        {
          "course_uid": "course_2364ea4d92955fbad9988956",
          "uid": "instructor_f0cd815c302d74748eeeee6d",
          "name": "Zhifeng Chen",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ZHIFENG_CHEN"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Bo Yang",
            "review_date": "2019-12-23 22:46:44 +0000 UTC",
            "review_id": "3b022639bbd64b9ef9769a3f",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2107418",
            "source_review_id": "UmF0aW5nLTMyNzUwODk4",
            "source_url": "https://www.ratemyprofessors.com/professor/2107418",
            "type": "review"
          }
        ],
        "text": "One reviewer notes the course content was manageable due to prior job experience, though they earned an A."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_2364ea4d92955fbad9988956-0.json"
      ]
    }
  },
  {
    "course_uid": "course_b9ca05f3e5db5af2eb30f64a",
    "course_id": "STAT 453",
    "title": "INTRODUCTION TO DEEP LEARNING AND GENERATIVE MODELS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.712,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.62 GPA across 64 letter grades, versus 3.34 for Statistics (26 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/STAT_453#grades"
          }
        ]
      }
    ],
    "description": "Introduction to deep learning and generative models connecting neural networks to statistical concepts.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          214,
          135,
          29,
          1,
          2,
          0,
          2
        ],
        "count": 383,
        "gpa": 3.7127937336814623,
        "topShare": 91.12271540469973,
        "firstTerm": "1234",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_b9ca05f3e5db5af2eb30f64a",
          "uid": "instructor_4270353ff74ae497a4f645e4",
          "name": "Baiheng Chen",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/BAIHENG_CHEN"
        },
        {
          "course_uid": "course_b9ca05f3e5db5af2eb30f64a",
          "uid": "instructor_816ff1547ceb6ebc8284e15f",
          "name": "Benjamin Lengerich",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/BENJAMIN_LENGERICH"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Yiqiao Zhong",
            "review_date": "2024-05-07 09:52:37 +0000 UTC",
            "review_id": "1214b9801760e077473ae090",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2889232",
            "source_review_id": "UmF0aW5nLTM5Mzg4OTE4",
            "source_url": "https://www.ratemyprofessors.com/professor/2889232",
            "type": "review"
          },
          {
            "instructor_name": "Yiqiao Zhong",
            "review_date": "2025-05-09 17:47:23 +0000 UTC",
            "review_id": "a26e2fa8c871ae1797eb8560",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2889232",
            "source_review_id": "UmF0aW5nLTQxMjI3NzA0",
            "source_url": "https://www.ratemyprofessors.com/professor/2889232",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Yiqiao Zhong: Reviewers note low overall workload, though exams can be confusing if lecture concepts are not understood. One student found the difficulty manageable with effort, while another cited flexible deadlines and fine tests."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_b9ca05f3e5db5af2eb30f64a-0.json"
      ]
    }
  },
  {
    "course_uid": "course_704c9a2365bd1c8bed22a552",
    "course_id": "STAT 998",
    "title": "STATISTICAL CONSULTING",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.721,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 12 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_998#schedule"
          }
        ]
      }
    ],
    "description": "STAT 998 is a consulting apprenticeship course for graduate or professional students.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          60,
          27,
          14,
          0,
          0,
          1,
          0
        ],
        "count": 102,
        "gpa": 3.700980392156863,
        "topShare": 85.29411764705883,
        "firstTerm": "1232",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_704c9a2365bd1c8bed22a552",
          "uid": "instructor_e07c4a420217ae0ac05d6c15",
          "name": "Cecile Ane",
          "quality": 3.7994384714114453,
          "quality_count": 9,
          "instructor_url": "/instructors/CECILE_ANE"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Sunduz Keles",
            "review_date": "2018-04-06 23:19:34 +0000 UTC",
            "review_id": "c83b88d3801ac15ff2581a9e",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1142647",
            "source_review_id": "UmF0aW5nLTI5NzU3OTMx",
            "source_url": "https://www.ratemyprofessors.com/professor/1142647",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Sunduz Keles: Students complete a full consulting process with non-statistical clients, involving training steps and sharing stories with invited data scientists."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_704c9a2365bd1c8bed22a552-0.json"
      ]
    }
  },
  {
    "course_uid": "course_3b6b5ce408337da83e5e4e44",
    "course_id": "STAT 679",
    "title": "SPECIAL TOPICS IN STATISTICS",
    "credits_min": 1,
    "credits_max": 3,
    "gpa": 3.78,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 1 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_679#schedule"
          }
        ]
      }
    ],
    "description": "STAT 679 covers special topics in statistics at the master's level, with subject matter varying by offering.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          99,
          31,
          21,
          1,
          4,
          0,
          1
        ],
        "count": 157,
        "gpa": 3.6815286624203822,
        "topShare": 82.80254777070064,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_3b6b5ce408337da83e5e4e44",
          "uid": "instructor_de7437eae3d2b6ae3e16cc25",
          "name": "Garvesh Raskutti",
          "quality": 3.6715357431444153,
          "quality_count": 28,
          "instructor_url": "/instructors/GARVESH_RASKUTTI"
        },
        {
          "course_uid": "course_3b6b5ce408337da83e5e4e44",
          "uid": "instructor_7f1ec350dd38b38a0d4762c0",
          "name": "Matthias Katzfuss",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MATTHIAS_KATZFUSS"
        },
        {
          "course_uid": "course_3b6b5ce408337da83e5e4e44",
          "uid": "instructor_e84a7ce0623963455f431057",
          "name": "Zexuan Sun",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ZEXUAN_SUN"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_c3af14b05ef6845e7d2ecd4d",
    "course_id": "STAT 461",
    "title": "FINANCIAL STATISTICS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.398,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Fall 2025 · latest released grades before Fall 2026: 3.63 GPA across 47 letter grades, versus 3.42 for Statistics (29 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/STAT_461#grades"
          }
        ]
      },
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 20.5 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/STAT_461#schedule"
          }
        ]
      }
    ],
    "description": "STAT 461 teaches advanced statistical methodologies for modern finance, including discrete and continuous stochastic models.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          70,
          14,
          14,
          9,
          1,
          0,
          1
        ],
        "count": 109,
        "gpa": 3.628440366972477,
        "topShare": 77.06422018348624,
        "firstTerm": "1242",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_c3af14b05ef6845e7d2ecd4d",
          "uid": "instructor_549402aaa3fc02311c4c262e",
          "name": "Bo Yang",
          "quality": 2.2009699430385776,
          "quality_count": 56,
          "instructor_url": "/instructors/BO_YANG"
        },
        {
          "course_uid": "course_c3af14b05ef6845e7d2ecd4d",
          "uid": "instructor_9f6a0eeaa52af516b424de75",
          "name": "Yuheng Lai",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/YUHENG_LAI"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Yazhen Wang",
            "review_date": "2019-10-23 19:45:14 +0000 UTC",
            "review_id": "8fad0bc67d25f2fe5156dd5a",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1357778",
            "source_review_id": "UmF0aW5nLTMyMzEyNTIx",
            "source_url": "https://www.ratemyprofessors.com/professor/1357778",
            "type": "review"
          },
          {
            "instructor_name": "Yazhen Wang",
            "review_date": "2019-11-10 17:20:43 +0000 UTC",
            "review_id": "30a20ab8d74829e774496970",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1357778",
            "source_review_id": "UmF0aW5nLTMyMzg4NzUy",
            "source_url": "https://www.ratemyprofessors.com/professor/1357778",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Yazhen Wang: Reviewers found homeworks difficult and exams tricky, noting that the lack of a textbook and study aids made preparation challenging."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_c3af14b05ef6845e7d2ecd4d-0.json"
      ]
    }
  },
  {
    "course_uid": "course_ef9c9cd4a7d8002288a4cf7c",
    "course_id": "STAT 333",
    "title": "APPLIED REGRESSION ANALYSIS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.448,
    "badges": [],
    "description": "Applied Regression Analysis covers linear regression for prediction and interpretation, including feature selection, assumption checking, and extensions like mixed and generalized linear models using R.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          234,
          68,
          49,
          21,
          12,
          1,
          2
        ],
        "count": 387,
        "gpa": 3.6136950904392764,
        "topShare": 78.0361757105943,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_ef9c9cd4a7d8002288a4cf7c",
          "uid": "instructor_14607eb27b812bbc66c895e8",
          "name": "Karl Rohe",
          "quality": 2.7601758419350246,
          "quality_count": 58,
          "instructor_url": "/instructors/KARL_ROHE"
        },
        {
          "course_uid": "course_ef9c9cd4a7d8002288a4cf7c",
          "uid": "instructor_5ade280258f009efa9dd4f71",
          "name": "Jingyang Lyu",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/JINGYANG_LYU"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Karl Rohe",
            "review_date": "2013-06-09 17:50:59 +0000 UTC",
            "review_id": "8d552d102b5968381716a742",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1801396",
            "source_review_id": "UmF0aW5nLTIxODc3MzYz",
            "source_url": "https://www.ratemyprofessors.com/professor/1801396",
            "type": "review"
          },
          {
            "instructor_name": "Karl Rohe",
            "review_date": "2018-01-12 10:35:13 +0000 UTC",
            "review_id": "6f97203a2523876ca48a05df",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1801396",
            "source_review_id": "UmF0aW5nLTI5NDQxOTgz",
            "source_url": "https://www.ratemyprofessors.com/professor/1801396",
            "type": "review"
          },
          {
            "instructor_name": "Karl Rohe",
            "review_date": "2024-04-22 22:12:50 +0000 UTC",
            "review_id": "1f2d50173ab7db59c3737b52",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1801396",
            "source_review_id": "UmF0aW5nLTM5MTQzNjcy",
            "source_url": "https://www.ratemyprofessors.com/professor/1801396",
            "type": "review"
          },
          {
            "instructor_name": "Karl Rohe",
            "review_date": "2025-12-29 12:53:56 +0000 UTC",
            "review_id": "b865efb7950a1192b105d63c",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1801396",
            "source_review_id": "UmF0aW5nLTQyNDEyNjQy",
            "source_url": "https://www.ratemyprofessors.com/professor/1801396",
            "type": "review"
          }
        ],
        "text": "Weekly homework is described as long and unrelated to lectures, while the final project is considered very important and strictly graded. Students report dealing with shifting deadlines and vague test questions that rely on the professor's interpretation."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_ef9c9cd4a7d8002288a4cf7c-0.json"
      ]
    }
  },
  {
    "course_uid": "course_0cdbe47e9cba33b1c1a28e66",
    "course_id": "STAT 601",
    "title": "STATISTICAL METHODS I",
    "credits_min": 4,
    "credits_max": 4,
    "gpa": 3.597,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 11 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_601#schedule"
          }
        ]
      }
    ],
    "description": "STAT 601 provides a thorough grounding in modern statistical methods, covering data collection, exploration, probability, and analysis.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          74,
          95,
          33,
          5,
          0,
          0,
          2
        ],
        "count": 209,
        "gpa": 3.54066985645933,
        "topShare": 80.86124401913875,
        "firstTerm": "1224",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_0cdbe47e9cba33b1c1a28e66",
          "uid": "instructor_57e3055a3befc3631e23de96",
          "name": "Wei-Yin Loh",
          "quality": 3.63803899252118,
          "quality_count": 24,
          "instructor_url": "/instructors/WEI-YIN_LOH"
        },
        {
          "course_uid": "course_0cdbe47e9cba33b1c1a28e66",
          "uid": "instructor_acf8ea3a47c16b77ced1f232",
          "name": "Zhihao Zhao",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ZHIHAO_ZHAO"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Vivak Patel",
            "review_date": "2022-01-11 16:32:51 +0000 UTC",
            "review_id": "93ec73a134279ef2d299c73e",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2630806",
            "source_review_id": "UmF0aW5nLTM1NzM1NDk4",
            "source_url": "https://www.ratemyprofessors.com/professor/2630806",
            "type": "review"
          },
          {
            "instructor_name": "Vivak Patel",
            "review_date": "2022-02-23 02:08:26 +0000 UTC",
            "review_id": "9c8d9bedd34c97329176a3c5",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2630806",
            "source_review_id": "UmF0aW5nLTM1ODc1Mzk3",
            "source_url": "https://www.ratemyprofessors.com/professor/2630806",
            "type": "review"
          },
          {
            "instructor_name": "Vivak Patel",
            "review_date": "2024-08-21 05:17:49 +0000 UTC",
            "review_id": "9b8ef7235c7a6f16ebe05abf",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2630806",
            "source_review_id": "UmF0aW5nLTM5Njk2NDgz",
            "source_url": "https://www.ratemyprofessors.com/professor/2630806",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Vivak Patel: Reviewers describe a heavy workload with difficult projects and expect students to do significant independent work, noting that graduate-level rigor requires hard work."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_0cdbe47e9cba33b1c1a28e66-0.json"
      ]
    }
  },
  {
    "course_uid": "course_c179c651b76ad0f0b88c6e70",
    "course_id": "BMI/STAT 641",
    "title": "STATISTICAL METHODS FOR CLINICAL TRIALS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.553,
    "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/BMI_STAT_641#schedule"
          }
        ]
      }
    ],
    "description": "Covers statistical methods for clinical trial design, survival analysis, and sequential monitoring.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          36,
          46,
          21,
          1,
          2,
          0,
          0
        ],
        "count": 106,
        "gpa": 3.5330188679245285,
        "topShare": 77.35849056603774,
        "firstTerm": "1232",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_c179c651b76ad0f0b88c6e70",
          "uid": "instructor_2c2e47d40ae9a027db315a8f",
          "name": "Tom Cook",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/TOM_COOK"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_64851c516bf8195a88f81cc4",
    "course_id": "STAT 451",
    "title": "INTRODUCTION TO MACHINE LEARNING AND STATISTICAL PATTERN CLASSIFICATION",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.579,
    "badges": [],
    "description": "Covers pattern classification, regression, clustering, and dimensionality reduction with a focus on statistical evaluation and Python implementation.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          437,
          202,
          159,
          49,
          38,
          5,
          1
        ],
        "count": 891,
        "gpa": 3.519079685746352,
        "topShare": 71.71717171717171,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_64851c516bf8195a88f81cc4",
          "uid": "instructor_f801c3750827ebe545eade70",
          "name": "Xiao Luo",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/XIAO_LUO"
        },
        {
          "course_uid": "course_64851c516bf8195a88f81cc4",
          "uid": "instructor_c03479edc771bff160872cf2",
          "name": "Yaling Hong",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/YALING_HONG"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Sebastian Raschka",
            "review_date": "2021-12-19 22:01:17 +0000 UTC",
            "review_id": "918ae60f9e3a376ecc19bb69",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2528650",
            "source_review_id": "UmF0aW5nLTM1NTk5NjI4",
            "source_url": "https://www.ratemyprofessors.com/professor/2528650",
            "type": "review"
          },
          {
            "instructor_name": "Sebastian Raschka",
            "review_date": "2022-01-11 16:35:07 +0000 UTC",
            "review_id": "c8607f42b6c521f875eef686",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2528650",
            "source_review_id": "UmF0aW5nLTM1NzM1NTE1",
            "source_url": "https://www.ratemyprofessors.com/professor/2528650",
            "type": "review"
          },
          {
            "instructor_name": "John Gillett",
            "review_date": "2024-01-09 00:50:57 +0000 UTC",
            "review_id": "2067b28e2e0f397b8ae371c0",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTM4ODUxOTA5",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          },
          {
            "instructor_name": "John Gillett",
            "review_date": "2025-08-28 11:18:54 +0000 UTC",
            "review_id": "d122e351c4b6f52baf8e58a9",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTQxNjA3MzY1",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          },
          {
            "instructor_name": "John Gillett",
            "review_date": "2026-04-15 21:56:11 +0000 UTC",
            "review_id": "cb48861f905331661556ad00",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTQyODQ2Mzc0",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          }
        ],
        "text": "Historical reviews of John Gillett, Sebastian Raschka: Workload is generally manageable with recorded lectures, though Gillett's exams can be difficult and require careful review, while one review cites unorganized materials and confusing group policies."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_64851c516bf8195a88f81cc4-0.json"
      ]
    }
  },
  {
    "course_uid": "course_72cc7ddf48330b71523f309f",
    "course_id": "F&WECOL/STAT 571",
    "title": "STATISTICAL METHODS FOR BIOSCIENCE I",
    "credits_min": 4,
    "credits_max": 4,
    "gpa": 3.498,
    "badges": [],
    "description": "STATISTICAL METHODS FOR BIOSCIENCE I covers statistical inference, ANOVA, regression, and diagnostics for bioscience applications.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          142,
          128,
          111,
          4,
          0,
          2,
          0
        ],
        "count": 387,
        "gpa": 3.516795865633075,
        "topShare": 69.76744186046511,
        "firstTerm": "1232",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_72cc7ddf48330b71523f309f",
          "uid": "instructor_b87779c096c1e7569483fa4b",
          "name": "Brian Powers",
          "quality": 3.3698717483863656,
          "quality_count": 29,
          "instructor_url": "/instructors/BRIAN_POWERS"
        },
        {
          "course_uid": "course_72cc7ddf48330b71523f309f",
          "uid": "instructor_b8f313b5fa16fd5d0c4b78a9",
          "name": "Roddy Taing",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/RODDY_TAING"
        },
        {
          "course_uid": "course_72cc7ddf48330b71523f309f",
          "uid": "instructor_dd66c6a30a808aa503de3dbd",
          "name": "Steven Moen",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/STEVEN_MOEN"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Bret Larget",
            "review_date": "2011-01-14 10:44:09 +0000 UTC",
            "review_id": "36b750ef4eea32093ec4f722",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:566625",
            "source_review_id": "UmF0aW5nLTE4MTM4MzUy",
            "source_url": "https://www.ratemyprofessors.com/professor/566625",
            "type": "review"
          },
          {
            "instructor_name": "Debraj Das",
            "review_date": "2017-12-30 15:39:34 +0000 UTC",
            "review_id": "c105c907af86d0cb9543ac6d",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2280597",
            "source_review_id": "UmF0aW5nLTI5MzYxMDM4",
            "source_url": "https://www.ratemyprofessors.com/professor/2280597",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Bret Larget, Debraj Das: Exams can be difficult and heavily weighted, with one reviewer noting they covered unseen material, while another found them fair and focused on required knowledge."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_72cc7ddf48330b71523f309f-0.json"
      ]
    }
  },
  {
    "course_uid": "course_f57701752c565e5b0c704a1d",
    "course_id": "STAT 436",
    "title": "STATISTICAL DATA VISUALIZATION",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.512,
    "badges": [
      {
        "id": "rated-teacher",
        "label": "Highly rated instructor",
        "tone": "positive",
        "evidence": "Fall 2026: Kris Sankaran (4.03/5 adjusted; 16 ratings). At least one assigned instructor qualifies. This describes instructor reviews across courses, not a course rating.",
        "sources": [
          {
            "label": "Kris Sankaran",
            "href": "/instructors/KRIS_SANKARAN"
          }
        ]
      }
    ],
    "description": "STAT 436 teaches data visualization techniques within data science workflows, covering data preparation, exploratory analysis, and model interpretability.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          237,
          176,
          100,
          22,
          16,
          5,
          1
        ],
        "count": 557,
        "gpa": 3.511669658886894,
        "topShare": 74.1472172351885,
        "firstTerm": "1234",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_f57701752c565e5b0c704a1d",
          "uid": "instructor_be2c112c6bc43655caf1a245",
          "name": "Kris Sankaran",
          "quality": 4.033158768636998,
          "quality_count": 16,
          "instructor_url": "/instructors/KRIS_SANKARAN"
        },
        {
          "course_uid": "course_f57701752c565e5b0c704a1d",
          "uid": "instructor_57ee08c1d87cd84c250e6aad",
          "name": "FNU Chiranjeevi Vasant",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/FNU_CHIRANJEEVI_VASANT"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Kris Sankaran",
            "review_date": "2024-12-26 23:27:42 +0000 UTC",
            "review_id": "d27511a3a93dc80a8d296520",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2658955",
            "source_review_id": "UmF0aW5nLTQwNDQyMDQz",
            "source_url": "https://www.ratemyprofessors.com/professor/2658955",
            "type": "review"
          },
          {
            "instructor_name": "Kris Sankaran",
            "review_date": "2025-05-16 15:03:45 +0000 UTC",
            "review_id": "3b3b03ea5cb2a2edbbafcfd4",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2658955",
            "source_review_id": "UmF0aW5nLTQxMzAzNDU3",
            "source_url": "https://www.ratemyprofessors.com/professor/2658955",
            "type": "review"
          },
          {
            "instructor_name": "Kris Sankaran",
            "review_date": "2025-05-19 07:23:00 +0000 UTC",
            "review_id": "92c893ae09e47ac12b80b5dd",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2658955",
            "source_review_id": "UmF0aW5nLTQxMzIwMzQ2",
            "source_url": "https://www.ratemyprofessors.com/professor/2658955",
            "type": "review"
          }
        ],
        "text": "The course uses a flipped format with pre-lecture readings, a large group project, and exams. Some students find it easy to succeed with minimal effort, while others note the material requires deep engagement."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_f57701752c565e5b0c704a1d-0.json"
      ]
    }
  },
  {
    "course_uid": "course_2c47f118c8b20b84e9ca9d5d",
    "course_id": "STAT 610",
    "title": "INTRODUCTION TO STATISTICAL INFERENCE",
    "credits_min": 4,
    "credits_max": 4,
    "gpa": 3.573,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 8 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_610#schedule"
          }
        ]
      }
    ],
    "description": "STAT 610 introduces statistical inference, covering distribution theory, limit theorems, parameter estimation, hypothesis testing, Bayesian inference, and nonparametric estimation.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          111,
          114,
          70,
          9,
          2,
          0,
          2
        ],
        "count": 308,
        "gpa": 3.5048701298701297,
        "topShare": 73.05194805194806,
        "firstTerm": "1224",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_2c47f118c8b20b84e9ca9d5d",
          "uid": "instructor_abeac1469597629693634b82",
          "name": "Jun Shao",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/JUN_SHAO"
        },
        {
          "course_uid": "course_2c47f118c8b20b84e9ca9d5d",
          "uid": "instructor_5beba5d1403668fc5d2f1fec",
          "name": "Xiaoyu Lei",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/XIAOYU_LEI"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Wei-Yin Loh",
            "review_date": "2019-11-01 05:59:19 +0000 UTC",
            "review_id": "bfc955770c1ee7d4dd0ed4c3",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:371080",
            "source_review_id": "UmF0aW5nLTMyMzQ0OTM3",
            "source_url": "https://www.ratemyprofessors.com/professor/371080",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Wei-Yin Loh: Assignments and exams are described as too tricky, with a useless textbook even for open-book exams, potentially causing students to quit before mid-term."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_2c47f118c8b20b84e9ca9d5d-0.json"
      ]
    }
  },
  {
    "course_uid": "course_3c746e3add116a6aa2b49441",
    "course_id": "STAT 424",
    "title": "STATISTICAL EXPERIMENTAL DESIGN",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.445,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.67 GPA across 60 letter grades, versus 3.34 for Statistics (26 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/STAT_424#grades"
          }
        ]
      }
    ],
    "description": "STAT 424 introduces statistical experimental design, covering randomization, blocking, factorial designs, and response surface methodology with engineering applications.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          246,
          137,
          117,
          19,
          12,
          7,
          4
        ],
        "count": 542,
        "gpa": 3.492619926199262,
        "topShare": 70.66420664206642,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_3c746e3add116a6aa2b49441",
          "uid": "instructor_6b47f9ea3905d1d59a4cca56",
          "name": "Peter Chien",
          "quality": 3.3756240966034707,
          "quality_count": 18,
          "instructor_url": "/instructors/PETER_CHIEN"
        },
        {
          "course_uid": "course_3c746e3add116a6aa2b49441",
          "uid": "instructor_7c09a6e12ebca1077051d727",
          "name": "Sifan Tao",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/SIFAN_TAO"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Peter Chien",
            "review_date": "2019-12-15 19:48:08 +0000 UTC",
            "review_id": "a0b1e22e48955fa4f7801e83",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2359490",
            "source_review_id": "UmF0aW5nLTMyNjY3ODgw",
            "source_url": "https://www.ratemyprofessors.com/professor/2359490",
            "type": "review"
          },
          {
            "instructor_name": "Peter Chien",
            "review_date": "2026-05-07 03:46:17 +0000 UTC",
            "review_id": "9fb774e9b769f89f39a0617c",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2359490",
            "source_review_id": "UmF0aW5nLTQzMDU1ODEw",
            "source_url": "https://www.ratemyprofessors.com/professor/2359490",
            "type": "review"
          }
        ],
        "text": "Workload involves writing R code for homework, while exams are often predictable and similar to practice problems, though self-study via the textbook is recommended."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_3c746e3add116a6aa2b49441-0.json"
      ]
    }
  },
  {
    "course_uid": "course_a420e635de610c245d2c3002",
    "course_id": "STAT 405",
    "title": "DATA SCIENCE COMPUTING PROJECT",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.492,
    "badges": [
      {
        "id": "rated-teacher",
        "label": "Highly rated instructor",
        "tone": "positive",
        "evidence": "Fall 2026: John Gillett (4.22/5 adjusted; 67 ratings). At least one assigned instructor qualifies. This describes instructor reviews across courses, not a course rating.",
        "sources": [
          {
            "label": "John Gillett",
            "href": "/instructors/JOHN_GILLETT"
          }
        ]
      },
      {
        "id": "grade-outcomes",
        "label": "Higher grades",
        "tone": "positive",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.59 GPA across 46 letter grades, versus 3.34 for Statistics (26 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/STAT_405#grades"
          }
        ]
      }
    ],
    "description": "STAT 405 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          102,
          39,
          22,
          15,
          8,
          3,
          2
        ],
        "count": 191,
        "gpa": 3.492146596858639,
        "topShare": 73.82198952879581,
        "firstTerm": "1234",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_a420e635de610c245d2c3002",
          "uid": "instructor_4d0f89219b9efbef40920d35",
          "name": "John Gillett",
          "quality": 4.222111674378527,
          "quality_count": 67,
          "instructor_url": "/instructors/JOHN_GILLETT"
        },
        {
          "course_uid": "course_a420e635de610c245d2c3002",
          "uid": "instructor_05c51e51dfbeab703c25aeaf",
          "name": "Ming Pei",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MING_PEI"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "John Gillett",
            "review_date": "2025-01-21 17:12:42 +0000 UTC",
            "review_id": "ffc5d4efea9f82a13597bf52",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1567077",
            "source_review_id": "UmF0aW5nLTQwNTgwNzc0",
            "source_url": "https://www.ratemyprofessors.com/professor/1567077",
            "type": "review"
          }
        ],
        "text": "The course involves heavy and hard homework assignments with tight and strict deadlines, even for students with flexible accommodation needs."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_a420e635de610c245d2c3002-0.json"
      ]
    }
  },
  {
    "course_uid": "course_a5f4446c2434cfcb1b7e6969",
    "course_id": "STAT 615",
    "title": "STATISTICAL LEARNING",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.556,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 8 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": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/STAT_615#schedule"
          }
        ]
      }
    ],
    "description": "STAT 615 develops mathematical theories and statistical concepts for understanding, predicting from, and criticizing data models.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          145,
          42,
          50,
          21,
          13,
          2,
          2
        ],
        "count": 275,
        "gpa": 3.481818181818182,
        "topShare": 68,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_a5f4446c2434cfcb1b7e6969",
          "uid": "instructor_9a9d23bd68d5e518dce65eb2",
          "name": "Vivak Patel",
          "quality": 2.6098690764777484,
          "quality_count": 28,
          "instructor_url": "/instructors/VIVAK_PATEL"
        },
        {
          "course_uid": "course_a5f4446c2434cfcb1b7e6969",
          "uid": "instructor_f44b89c80752cccf153d0b17",
          "name": "JIAQI Tang",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/JIAQI_TANG"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": null,
      "reviewFiles": []
    }
  },
  {
    "course_uid": "course_b533f0f6b5fef2c11c4fa06c",
    "course_id": "MATH/STAT 733",
    "title": "THEORY OF PROBABILITY I",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.469,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "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.",
        "sources": [
          {
            "label": "Sections and enrollment",
            "href": "/courses/MATH_STAT_733#schedule"
          }
        ]
      }
    ],
    "description": "Theory of Probability I introduces measure theoretic probability and stochastic processes.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          76,
          32,
          39,
          4,
          6,
          2,
          1
        ],
        "count": 160,
        "gpa": 3.48125,
        "topShare": 67.5,
        "firstTerm": "1232",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_b533f0f6b5fef2c11c4fa06c",
          "uid": "instructor_5db2aecc976b633b90535628",
          "name": "David Anderson",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/DAVID_ANDERSON--instructor_5db2aecc976b633b90535628"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Jun Yin",
            "review_date": "2014-12-23 12:32:48 +0000 UTC",
            "review_id": "a129d5c94dd1eab3ffb28c09",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1699172",
            "source_review_id": "UmF0aW5nLTI0MTc1NzMx",
            "source_url": "https://www.ratemyprofessors.com/professor/1699172",
            "type": "review"
          },
          {
            "instructor_name": "Hao Shen",
            "review_date": "2023-12-16 17:06:53 +0000 UTC",
            "review_id": "31e19122c749e0a9a3e7b2e5",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2674823",
            "source_review_id": "UmF0aW5nLTM4NzA2ODk0",
            "source_url": "https://www.ratemyprofessors.com/professor/2674823",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Hao Shen, Jun Yin: Jun Yin's materials were hard with a weird curve, while Hao Shen was very test-heavy and did not provide proper preparation for exams."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_b533f0f6b5fef2c11c4fa06c-0.json"
      ]
    }
  },
  {
    "course_uid": "course_c12730b42971bfae90899021",
    "course_id": "STAT 609",
    "title": "MATHEMATICAL STATISTICS I",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.506,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 10 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/STAT_609#schedule"
          }
        ]
      }
    ],
    "description": "STAT 609 covers mathematical statistics, including probability theory, distribution theory, and limit theorems like the Central Limit Theorem.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          43,
          31,
          28,
          12,
          1,
          0,
          0
        ],
        "count": 115,
        "gpa": 3.4478260869565216,
        "topShare": 64.34782608695652,
        "firstTerm": "1232",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_c12730b42971bfae90899021",
          "uid": "instructor_7f547f421dcc58c9e9c316fd",
          "name": "Chunming Zhang",
          "quality": 3.2811626093424797,
          "quality_count": 9,
          "instructor_url": "/instructors/CHUNMING_ZHANG"
        },
        {
          "course_uid": "course_c12730b42971bfae90899021",
          "uid": "instructor_8ee327e813916434bb02ca42",
          "name": "Xinyan Wang",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/XINYAN_WANG"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Chunming Zhang",
            "review_date": "2025-05-13 13:42:14 +0000 UTC",
            "review_id": "50fc25d6ca52df1667a6052c",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1839798",
            "source_review_id": "UmF0aW5nLTQxMjY1MTA0",
            "source_url": "https://www.ratemyprofessors.com/professor/1839798",
            "type": "review"
          }
        ],
        "text": "One reviewer reports that homework and class content differ significantly from the test, requiring preparation for a difficult exam experience."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_c12730b42971bfae90899021-0.json"
      ]
    }
  },
  {
    "course_uid": "course_639b02029dbf953b9704cd63",
    "course_id": "COMPSCI/ISYE/MATH/STAT 726",
    "title": "NONLINEAR OPTIMIZATION I",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.408,
    "badges": [
      {
        "id": "lecture-size",
        "label": "Small lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 7 enrolled students across 4 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/COMPSCI_ISYE_MATH_STAT_726#schedule"
          }
        ]
      }
    ],
    "description": "Covers theory and algorithms for nonlinear optimization, focusing on unconstrained methods like quasi-Newton and trust-region techniques.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          79,
          95,
          55,
          14,
          4,
          0,
          3
        ],
        "count": 250,
        "gpa": 3.426,
        "topShare": 69.6,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_639b02029dbf953b9704cd63",
          "uid": "instructor_a270e82be07bd3a275f6e005",
          "name": "Stephen Wright",
          "quality": 3.839790522364397,
          "quality_count": 10,
          "instructor_url": "/instructors/STEPHEN_WRIGHT"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Stephen Wright",
            "review_date": "2018-05-14 18:44:02 +0000 UTC",
            "review_id": "d3d89b29af16733c1c770fb9",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1895834",
            "source_review_id": "UmF0aW5nLTMwMTA0MjAw",
            "source_url": "https://www.ratemyprofessors.com/professor/1895834",
            "type": "review"
          },
          {
            "instructor_name": "Stephen Wright",
            "review_date": "2019-12-14 19:00:26 +0000 UTC",
            "review_id": "9b91b822745c708625b5b0ec",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1895834",
            "source_review_id": "UmF0aW5nLTMyNjU5MDI2",
            "source_url": "https://www.ratemyprofessors.com/professor/1895834",
            "type": "review"
          }
        ],
        "text": "Assignments are graded harshly, and the course is notoriously difficult, requiring significant preparation to keep up with the rigorous material."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_639b02029dbf953b9704cd63-0.json"
      ]
    }
  },
  {
    "course_uid": "course_096be5272e913d9005e3298b",
    "course_id": "STAT 421",
    "title": "APPLIED CATEGORICAL DATA ANALYSIS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.391,
    "badges": [],
    "description": "STAT 421 teaches techniques for analyzing categorical response data, including contingency tables and regression modeling, using R.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          74,
          83,
          32,
          16,
          10,
          2,
          1
        ],
        "count": 218,
        "gpa": 3.415137614678899,
        "topShare": 72.01834862385321,
        "firstTerm": "1232",
        "lastTerm": "1262"
      },
      "instructors": [
        {
          "course_uid": "course_096be5272e913d9005e3298b",
          "uid": "instructor_a5cfff7fd6e7d307b48caad1",
          "name": "Derek Bean",
          "quality": 3.622756343262703,
          "quality_count": 14,
          "instructor_url": "/instructors/DEREK_BEAN"
        },
        {
          "course_uid": "course_096be5272e913d9005e3298b",
          "uid": "instructor_693507caf47fe17e4df269d0",
          "name": "Jialuo Li",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/JIALUO_LI"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Derek Bean",
            "review_date": "2022-03-24 02:52:32 +0000 UTC",
            "review_id": "80719d3beb34f7dfb5f38b2f",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2158238",
            "source_review_id": "UmF0aW5nLTM1OTY5NTc0",
            "source_url": "https://www.ratemyprofessors.com/professor/2158238",
            "type": "review"
          },
          {
            "instructor_name": "Derek Bean",
            "review_date": "2024-12-04 03:06:15 +0000 UTC",
            "review_id": "b33e1c5992539dcc69ed3f05",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2158238",
            "source_review_id": "UmF0aW5nLTQwMDkxOTk0",
            "source_url": "https://www.ratemyprofessors.com/professor/2158238",
            "type": "review"
          },
          {
            "instructor_name": "Derek Bean",
            "review_date": "2024-12-04 03:17:48 +0000 UTC",
            "review_id": "e0c9a735bc22985312bf6aba",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:2158238",
            "source_review_id": "UmF0aW5nLTQwMDkyMTc3",
            "source_url": "https://www.ratemyprofessors.com/professor/2158238",
            "type": "review"
          }
        ],
        "text": "The workload is relentless, consisting of approximately 66% homework with four to six hours of work per week across multiple large assignments."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_096be5272e913d9005e3298b-0.json"
      ]
    }
  },
  {
    "course_uid": "course_03f8aaae24bac7658b319ca8",
    "course_id": "STAT 240",
    "title": "DATA SCIENCE MODELING I",
    "credits_min": 4,
    "credits_max": 4,
    "gpa": 3.355,
    "badges": [
      {
        "id": "grade-outcomes",
        "label": "Lower grades",
        "tone": "negative",
        "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.03 GPA across 599 letter grades, versus 3.34 for Statistics (26 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/STAT_240#grades"
          }
        ]
      },
      {
        "id": "lecture-size",
        "label": "Large lectures",
        "tone": "neutral",
        "evidence": "Fall 2026: median 135 enrolled students across 4 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/STAT_240#schedule"
          }
        ]
      }
    ],
    "description": "STAT 240 introduces reproducible data science modeling and statistical inference using R and R Markdown.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          1942,
          1307,
          1155,
          401,
          330,
          69,
          45
        ],
        "count": 5249,
        "gpa": 3.341398361592684,
        "topShare": 61.89750428653077,
        "firstTerm": "1224",
        "lastTerm": "1264"
      },
      "instructors": [
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_7b2d98370853d89ccc619f04",
          "name": "Sahifa Siddiqua",
          "quality": 2.5702587862439983,
          "quality_count": 33,
          "instructor_url": "/instructors/SAHIFA_SIDDIQUA"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_17831cc0732434ba581f55e8",
          "name": ". Rinkle Rose Renny",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/RINKLE_ROSE_RENNY"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_ed3b687f43b632dc84d48969",
          "name": "Ananya Datta",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ANANYA_DATTA"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_fcada0e662523e898cd380f2",
          "name": "Atharva Aserkar",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/ATHARVA_ASERKAR"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_57ee08c1d87cd84c250e6aad",
          "name": "FNU Chiranjeevi Vasant",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/FNU_CHIRANJEEVI_VASANT"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_17b187b651e80b27b58da58d",
          "name": "Haoqun Cao",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/HAOQUN_CAO"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_300812a2f460ef6590d59f42",
          "name": "Himanshu Rajdev",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/HIMANSHU_RAJDEV"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_693507caf47fe17e4df269d0",
          "name": "Jialuo Li",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/JIALUO_LI"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_54b8fbb7318a1e892723f631",
          "name": "Maria Oros",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MARIA_OROS"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_1c56286e1fa5d3423913d749",
          "name": "Michael Zou",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MICHAEL_ZOU"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_394fd5921455b6ae9fe9458c",
          "name": "Miranda Rintoul",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/MIRANDA_RINTOUL"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_031f1c042e754d844d9e7f09",
          "name": "Payel Ghosal",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/PAYEL_GHOSAL"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_fe2824b10d30881c059ca7ad",
          "name": "Preeth Gunasekaran",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/PREETH_GUNASEKARAN"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_df5092b6240190cd45129256",
          "name": "Sanika Gadkari",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/SANIKA_GADKARI"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_7963d8a874b88442ac5d0e79",
          "name": "Yancheng Li",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/YANCHENG_LI"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_f1da02e2533250b0fcd593df",
          "name": "Yuheng Mao",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/YUHENG_MAO"
        },
        {
          "course_uid": "course_03f8aaae24bac7658b319ca8",
          "uid": "instructor_f4d69294e75052d3c8fa103a",
          "name": "Yuvarraj Sriramkumar",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/YUVARRAJ_SRIRAMKUMAR"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Sahifa Siddiqua",
            "review_date": "2025-12-18 07:27:11 +0000 UTC",
            "review_id": "aa6177ec239561b30950b93b",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3089686",
            "source_review_id": "UmF0aW5nLTQyMzI2ODU4",
            "source_url": "https://www.ratemyprofessors.com/professor/3089686",
            "type": "review"
          },
          {
            "instructor_name": "Sahifa Siddiqua",
            "review_date": "2025-12-20 04:19:35 +0000 UTC",
            "review_id": "2512882c3d35bc56c3ef46aa",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3089686",
            "source_review_id": "UmF0aW5nLTQyMzU2Mzg5",
            "source_url": "https://www.ratemyprofessors.com/professor/3089686",
            "type": "review"
          },
          {
            "instructor_name": "Sahifa Siddiqua",
            "review_date": "2025-12-22 18:02:42 +0000 UTC",
            "review_id": "7cbf0432cdb7b344cb05077b",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3089686",
            "source_review_id": "UmF0aW5nLTQyMzc2MDE3",
            "source_url": "https://www.ratemyprofessors.com/professor/3089686",
            "type": "review"
          },
          {
            "instructor_name": "Sahifa Siddiqua",
            "review_date": "2026-04-16 09:46:18 +0000 UTC",
            "review_id": "b7b4f661d752255930d8868f",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3089686",
            "source_review_id": "UmF0aW5nLTQyODQ5OTY1",
            "source_url": "https://www.ratemyprofessors.com/professor/3089686",
            "type": "review"
          },
          {
            "instructor_name": "Sahifa Siddiqua",
            "review_date": "2026-05-06 18:28:55 +0000 UTC",
            "review_id": "2358227e0643eb0add9565eb",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3089686",
            "source_review_id": "UmF0aW5nLTQzMDQ4MDk0",
            "source_url": "https://www.ratemyprofessors.com/professor/3089686",
            "type": "review"
          },
          {
            "instructor_name": "Sahifa Siddiqua",
            "review_date": "2026-05-11 20:40:18 +0000 UTC",
            "review_id": "0aa3e38f59ee4889b7c9626b",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3089686",
            "source_review_id": "UmF0aW5nLTQzMDk2MTQ0",
            "source_url": "https://www.ratemyprofessors.com/professor/3089686",
            "type": "review"
          },
          {
            "instructor_name": "Sahifa Siddiqua",
            "review_date": "2026-05-12 05:38:56 +0000 UTC",
            "review_id": "7dc3cf757925cec17324c1d6",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3089686",
            "source_review_id": "UmF0aW5nLTQzMTAxODUw",
            "source_url": "https://www.ratemyprofessors.com/professor/3089686",
            "type": "review"
          }
        ],
        "text": "Students report that exams are significantly harder than lectures and homework, with unclear instructions and arbitrary difficulty. Self-study is often necessary due to the disconnect between taught material and assessments."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_03f8aaae24bac7658b319ca8-0.json"
      ]
    }
  },
  {
    "course_uid": "course_e960d322d17638a03f3d8a4b",
    "course_id": "STAT 351",
    "title": "INTRODUCTORY NONPARAMETRIC STATISTICS",
    "credits_min": 3,
    "credits_max": 3,
    "gpa": 3.6,
    "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/STAT_351#schedule"
          }
        ]
      }
    ],
    "description": "STAT 351 introduces distribution-free statistical methods, covering rank tests, permutation methods, and kernel estimation.",
    "discovery": {
      "term": "1272",
      "offered": true,
      "history": {
        "counts": [
          83,
          65,
          58,
          33,
          9,
          2,
          1
        ],
        "count": 251,
        "gpa": 3.3306772908366535,
        "topShare": 58.964143426294825,
        "firstTerm": "1224",
        "lastTerm": "1254"
      },
      "instructors": [
        {
          "course_uid": "course_e960d322d17638a03f3d8a4b",
          "uid": "instructor_4cd87546b6a882bbee735170",
          "name": "Joshua Cape",
          "quality": 3.392065987343535,
          "quality_count": 6,
          "instructor_url": "/instructors/JOSHUA_CAPE"
        },
        {
          "course_uid": "course_e960d322d17638a03f3d8a4b",
          "uid": "instructor_e74c46af9c66fffb414a4a97",
          "name": "Kyungjin Sohn",
          "quality": null,
          "quality_count": null,
          "instructor_url": "/instructors/KYUNGJIN_SOHN"
        }
      ],
      "instructorHistory": null,
      "courseComparison": null,
      "claim": {
        "citations": [
          {
            "instructor_name": "Chunming Zhang",
            "review_date": "2018-12-28 00:59:01 +0000 UTC",
            "review_id": "a82d468165c6caeb81973ed6",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1839798",
            "source_review_id": "UmF0aW5nLTMxMTY1ODcy",
            "source_url": "https://www.ratemyprofessors.com/professor/1839798",
            "type": "review"
          },
          {
            "instructor_name": "Chunming Zhang",
            "review_date": "2021-05-01 02:58:57 +0000 UTC",
            "review_id": "6b9c801d6553a8deff7d94bf",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1839798",
            "source_review_id": "UmF0aW5nLTM0NjczNDY4",
            "source_url": "https://www.ratemyprofessors.com/professor/1839798",
            "type": "review"
          },
          {
            "instructor_name": "Chunming Zhang",
            "review_date": "2022-05-17 06:12:38 +0000 UTC",
            "review_id": "67976f922ec17f9d2e5f0d5c",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1839798",
            "source_review_id": "UmF0aW5nLTM2MzU2NjIz",
            "source_url": "https://www.ratemyprofessors.com/professor/1839798",
            "type": "review"
          },
          {
            "instructor_name": "Chunming Zhang",
            "review_date": "2024-03-10 23:45:51 +0000 UTC",
            "review_id": "cea1d9f61bb466a5498af915",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1839798",
            "source_review_id": "UmF0aW5nLTM5MDM5NTkx",
            "source_url": "https://www.ratemyprofessors.com/professor/1839798",
            "type": "review"
          }
        ],
        "text": "Historical reviews of Chunming Zhang: Assignments and projects are generally inline with lectures and comprehensive, but students note a lack of practice materials and exams that may not reflect course content."
      },
      "reviewFiles": [
        "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_e960d322d17638a03f3d8a4b-0.json"
      ]
    }
  }
]
```

### total

42

### page

1

### kind

course

### q



### term

1272

### availability

offered

### filters

#### ranking

easiest

#### subject

STAT
