# BMI/STAT 542: Introduction to Clinical Trials I | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BMI_STAT_542) ## 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 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 5c05ab8b024fa70999f4147d2088e66adbd26886c57e5661c723f73593c51f48 ### course id BMI/STAT 542 ### course uid course\_f65bd7d1b084402c126909a1 ### catalog version id b72ef914f0e8d10a2094e433e9b3b041c8db2a2c45a9a723c3e9e6da090bfae0 ### course number 542 ### subjects * BMI * STAT ### title INTRODUCTION TO CLINICAL TRIALS I ### description Intended for biomedical researchers interested in the design and analysis of clinical trials. Topics include definition of hypotheses, measures of effectiveness, sample size, randomization, data collection and monitoring, and issues in statistical analysis. ### requirements text B M I/​STAT  541 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id a3458b16cd1a7eb6482464fc4975dd7e3a1a829abde7464c88ce8b3160894f2c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to the design and analysis of clinical trials for biomedical researchers. ### llm topics * Clinical trial design, sample size, randomization, and data monitoring. ### llm skills * Design and analysis of clinical trials including sample size and randomization. ### llm assumed background * Foundational biostatistics including hypothesis testing, regression, and survival analysis. ### llm search phrases * clinical trial design * biostatistics for researchers * sample size calculation * randomization methods * hypothesis testing biomedical ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 61526ff45d518f9f5342d74484a20d4f7ed56436d9012089733536a09c9a5f14 #### course id BMI/STAT 542 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Spring 2025: 3.80 GPA, 100.0% A/AB (n=15 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=14 letter grades). ```json { "citations": [ { "course_id": "BMI/STAT 542", "run_id": 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"d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "BMI/STAT 542" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 542", "course_uid": "course_f65bd7d1b084402c126909a1", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Richard Chappell" ], "a": 35, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "BMI/STAT 542" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 542", "course_uid": "course_f65bd7d1b084402c126909a1", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "CHAOQUN MEI", "KEVIN BUHR", "Kyungmann Kim" ], "a": 6, "ab": 17, "b": 2, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "BMI/STAT 542" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 542", "course_uid": "course_f65bd7d1b084402c126909a1", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "MITCHELL PAUKNER", "Richard Chappell" ], "a": 28, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "BMI/STAT 542" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 542", "course_uid": "course_f65bd7d1b084402c126909a1", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "KEVIN BUHR", "MITCHELL PAUKNER" ], "a": 15, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 16, "source_aliases": [ "BMI/STAT 542" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 542", "course_uid": "course_f65bd7d1b084402c126909a1", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "KEVIN BUHR" ], "a": 12, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 13, "source_aliases": [ "BMI/STAT 542" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 542", "course_uid": "course_f65bd7d1b084402c126909a1", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Michael Newton", "RUOLIN SONG" ], "a": 13, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 13, "source_aliases": [ "BMI/STAT 542" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 542", "course_uid": "course_f65bd7d1b084402c126909a1", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Michael Newton" ], "a": 9, "ab": 6, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "BMI/STAT 542" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 542", "course_uid": "course_f65bd7d1b084402c126909a1", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Richard Chappell" ], "a": 14, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 14, "source_aliases": [ "BMI/STAT 542" ] } ] ``` ### statistics #### gpa 3.774 #### graded 334 #### counts * 231 * 76 * 21 * 3 * 0 * 0 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f65bd7d1b084402c126909a1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f65bd7d1b084402c126909a1-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f65bd7d1b084402c126909a1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f65bd7d1b084402c126909a1-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f65bd7d1b084402c126909a1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f65bd7d1b084402c126909a1-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7739520958083834 #### count 334 #### university ##### size 4260 ##### gpa Percentile 57 ##### count Percentile 69 ##### median Count 165 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 316 | false | | 3.2–3.6 | 1214 | false | | 3.6–4.0 | 2719 | true | #### departments ```json [ { "subject": "BMI", "comparison": { "size": 16, "gpaPercentile": 27, "countPercentile": 100, "medianCount": 125.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 62, "gpaPercentile": 75, "countPercentile": 57, "medianCount": 290, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 22, "current": false }, { "range": "3.6–4.0", "count": 31, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.8333333333333335 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1084 ##### term 1084 ##### gpa 3.3 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1094 ##### term 1094 ##### gpa 3.4166666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1104 ##### term 1104 ##### gpa 3.88 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1114 ##### term 1114 ##### gpa 3.642857142857143 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1124 ##### term 1124 ##### gpa 3.6333333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1134 ##### term 1134 ##### gpa 3.5625 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1144 ##### term 1144 ##### gpa 3.46875 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1154 ##### term 1154 ##### gpa 3.6153846153846154 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1164 ##### term 1164 ##### gpa 3.9047619047619047 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1184 ##### term 1184 ##### gpa 4 ##### count 35 ##### university ###### size 1010 ###### gpa Percentile 96 ###### count Percentile 9 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 96, "countPercentile": 13, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.5384615384615383 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1204 ##### term 1204 ##### gpa 4 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1224 ##### term 1224 ##### gpa 4 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1234 ##### term 1234 ##### gpa 4 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1244 ##### term 1244 ##### gpa 4 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1254 ##### term 1254 ##### gpa 3.8 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1264 ##### term 1264 ##### gpa 4 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | ### benchmarks #### all ##### school ###### size 4260 ###### gpa 3.6596345571487023 ###### top Share 81.90462487794557 ###### count 165 ##### BMI ###### size 16 ###### gpa 3.820671086500997 ###### top Share 91.85894162898774 ###### count 125.5 ##### STAT ###### size 62 ###### gpa 3.568107481257541 ###### top Share 77.11071744010277 ###### count 290 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### STAT ###### size 11 ###### gpa 3.1916703213972117 ###### top Share 53.20854008345764 ###### count 60 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### STAT ###### size 13 ###### gpa 3.2192958075537375 ###### top Share 55.66253049989985 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### STAT ###### size 11 ###### gpa 3.2176332921053334 ###### top Share 53.16837069213127 ###### count 89 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### STAT ###### size 14 ###### gpa 3.1808388037128617 ###### top Share 54.20460480857422 ###### count 76 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### STAT ###### size 14 ###### gpa 3.2125467513502213 ###### top Share 52.75719815805796 ###### count 73.5 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### STAT ###### size 15 ###### gpa 3.189466060305169 ###### top Share 53.9092333240668 ###### count 62 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### STAT ###### size 14 ###### gpa 3.0970281238579784 ###### top Share 51.741770775379614 ###### count 74.5 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### STAT ###### size 19 ###### gpa 3.247335845906281 ###### top Share 58.329434774225824 ###### count 57 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### STAT ###### size 21 ###### gpa 3.317795716655057 ###### top Share 62.84642273068802 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.460210558661105 ###### top Share 70.42953406269322 ###### count 70 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### STAT ###### size 23 ###### gpa 3.3818127863152334 ###### top Share 66.9295898310719 ###### count 79 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### STAT ###### size 27 ###### gpa 3.6537351147420534 ###### top Share 80.87794592686507 ###### count 56 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top Share 69.88606041738046 ###### count 74 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### STAT ###### size 25 ###### gpa 3.396227416481204 ###### top Share 66.8429997070879 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### STAT ###### size 29 ###### gpa 3.390846810323202 ###### top Share 64.2629736611174 ###### count 62 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### STAT ###### size 28 ###### gpa 3.4752654121860003 ###### top Share 68.35873780152826 ###### count 70 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### STAT ###### size 26 ###### gpa 3.343399816676682 ###### top Share 63.23102425546245 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_91130b3f4d504f88a4b4f6e5", "name": "KYUNGMANN KIM", "count": 168, "terms": [ { "term": "1084", "count": 15, "sections": 1, "gpa": 3.3 }, { "term": "1094", "count": 12, "sections": 1, "gpa": 3.4166666666666665 }, { "term": "1104", "count": 25, "sections": 1, "gpa": 3.88 }, { "term": "1114", "count": 14, "sections": 1, "gpa": 3.642857142857143 }, { "term": "1124", "count": 15, "sections": 1, "gpa": 3.6333333333333333 }, { "term": "1134", "count": 24, "sections": 1, "gpa": 3.5625 }, { "term": "1144", "count": 16, "sections": 1, "gpa": 3.46875 }, { "term": "1164", "count": 21, "sections": 1, "gpa": 3.9047619047619047 }, { "term": "1194", "count": 26, "sections": 1, "gpa": 3.5384615384615383 } ] }, { "uid": "instructor_d71d94d8d290560564130e01", "name": "RICHARD CHAPPELL", "count": 77, "terms": [ { "term": "1184", "count": 35, "sections": 1, "gpa": 4 }, { "term": "1204", "count": 28, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 14, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_b736a698dbd60faed3632672", "name": "KEVIN BUHR", "count": 53, "terms": [ { "term": "1194", "count": 26, "sections": 1, "gpa": 3.5384615384615383 }, { "term": "1224", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1234", "count": 12, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_d0b4d2e0555532ed0cf16a12", "name": "MITCHELL PAUKNER", "count": 43, "terms": [ { "term": "1204", "count": 28, "sections": 1, "gpa": 4 }, { "term": "1224", "count": 15, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_f371fd2a28dcb497f02e3fc5", "name": "MICHAEL NEWTON", "count": 28, "terms": [ { "term": "1244", "count": 13, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 15, "sections": 1, "gpa": 3.8 } ] }, { "uid": "instructor_527982b53e8196c579eb358c", "name": "CHAOQUN MEI", "count": 26, "terms": [ { "term": "1194", "count": 26, "sections": 1, "gpa": 3.5384615384615383 } ] }, { "uid": "instructor_0b50791c23c97e072cd725c6", "name": "DAVID DEMETS", "count": 21, "terms": [ { "term": "1074", "count": 21, "sections": 1, "gpa": 3.8333333333333335 } ] }, { "uid": "instructor_dc3390abb5adc91344d0d34c", "name": "RUOLIN SONG", "count": 13, "terms": [ { "term": "1244", "count": 13, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_e7f6edc284010db9a66ce7f0", "name": "JAMES ANDERSON", "count": 13, "terms": [ { "term": "1154", "count": 13, "sections": 1, "gpa": 3.6153846153846154 } ] } ] ``` ## following | code | title | | ---------------------------- | ------------------------------------------------------- | | BMI 544 | INTRODUCTION TO CLINICAL AND HEALTHCARE RESEARCH II | | MEDICINE/NURSING/POPHLTH 705 | SEMINAR IN INTERDISCIPLINARY CLINICAL RESEARCH EVIDENCE |