# Explore UW–Madison Courses, Grades & Prerequisites | UW Courses [View on UW Courses](https://uwcourses.com/search?instructor=instructor_c33c93a5b9cb4a4f60b693c5) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 85abe9ff8837c2c5a134368dcc4cfc85eb723524b21ddeb3d2e953887d2f0c8f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-11T07:45:51.576183+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ### deployed at 2026-09-21T16:37:23.257391+00:00 ### site commit 67831752f7f2e1e62431a17b2368c58402a22b8f ## results ### items ```json [ { "course_uid": "course_8c0f7542356f64346bde176d", "course_id": "C&ESOC/SOC 357", "title": "METHODS OF SOCIOLOGICAL INQUIRY", "credits_min": 3, "credits_max": 4, "gpa": 3.419, "badges": [], "description": "C&ESOC/SOC 357 teaches scientific methods for testing sociological theory, including problem definition, hypothesis construction, and data evaluation, with practical research project experience.", "discovery": { "term": "1272", "offered": true, "history": { "counts": [ 370, 112, 66, 26, 22, 8, 5 ], "count": 609, "gpa": 3.5911330049261085, "topShare": 79.14614121510674, "firstTerm": "1224", "lastTerm": "1264" }, "instructors": [ { "course_uid": "course_8c0f7542356f64346bde176d", "uid": "instructor_dae24db0b0b581a2b6e4e9ad", "name": "Monica Grant", "quality": 2.80437461856591, "quality_count": 70, "instructor_url": "/instructors/MONICA_GRANT" }, { "course_uid": "course_8c0f7542356f64346bde176d", "uid": "instructor_78686a0620bc258cf6ec491b", "name": "Leila Moustafa", "quality": null, "quality_count": null, "instructor_url": "/instructors/LEILA_MOUSTAFA" }, { "course_uid": "course_8c0f7542356f64346bde176d", "uid": "instructor_6b09d01cf4ffafbe817dd4a8", "name": "Richard Christopher Kahulugan", "quality": null, "quality_count": null, "instructor_url": "/instructors/RICHARD_CHRISTOPHER_KAHULUGAN" }, { "course_uid": "course_8c0f7542356f64346bde176d", "uid": "instructor_fea3873d26f433775f02a4f1", "name": "Zheng Zhang", "quality": null, "quality_count": null, "instructor_url": "/instructors/ZHENG_ZHANG" } ], "instructorHistory": null, "courseComparison": null, "claim": { "citations": [ { "instructor_name": "Monica Grant", "review_date": "2015-11-19 00:19:51 +0000 UTC", "review_id": "cb9b02493fdda8ee43369222", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2771287", "source_review_id": "UmF0aW5nLTI1NDQ4MTY0", "source_url": "https://www.ratemyprofessors.com/professor/2771287", "type": "review" }, { "instructor_name": "Monica Grant", "review_date": "2016-12-04 21:46:47 +0000 UTC", "review_id": "5d396bcd14a927a83f6eeec1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2771287", "source_review_id": "UmF0aW5nLTI3MzI5MTgw", "source_url": "https://www.ratemyprofessors.com/professor/2771287", "type": "review" }, { "instructor_name": "Monica Grant", "review_date": "2020-04-23 22:57:05 +0000 UTC", "review_id": "a90c8d29f4b12e5ef4168230", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2771287", "source_review_id": "UmF0aW5nLTMzMTE2NjUw", "source_url": "https://www.ratemyprofessors.com/professor/2771287", "type": "review" } ], "text": "The course features group projects, homework assignments, and weekly quizzes. Reviewers generally find the workload manageable and appropriate, though some note that group projects can be stressful due to coordination with other classes." }, "reviewFiles": [ "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_8c0f7542356f64346bde176d-0.json" ] } }, { "course_uid": "course_636497c01ee603e3a78b0225", "course_id": "SOC 134", "title": "SOCIOLOGY OF RACE & ETHNICITY IN THE UNITED STATES", "credits_min": 3, "credits_max": 4, "gpa": 3.41, "badges": [ { "id": "rated-teacher", "label": "Highly rated instructor", "tone": "positive", "evidence": "Fall 2026: Jason Nolen (4.50/5 adjusted; 86 ratings). At least one assigned instructor qualifies. This describes instructor reviews across courses, not a course rating.", "sources": [ { "label": "Jason Nolen", "href": "/instructors/JASON_NOLEN" } ] }, { "id": "grade-outcomes", "label": "Lower grades", "tone": "negative", "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.28 GPA across 430 letter grades, versus 3.62 for UW–Madison (1283 courses). Requires a difference of at least 0.20 and 30 letter grades. Historical outcomes, not predicted difficulty.", "sources": [ { "label": "Grade history and sources", "href": "/courses/SOC_134#grades" } ] }, { "id": "lecture-size", "label": "Large lectures", "tone": "neutral", "evidence": "Fall 2026: median 242 enrolled students across 3 recorded lecture sections. Small means 30 or fewer; large means 100 or more. 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