# PHMSCI 756: Introduction to Data Analyses in Drug Development | UW–Madison [View on UW Courses](https://uwcourses.com/courses/PHMSCI_756) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 4cfa45cac2ccdf37d4fcc108ce84af87cecab67add53426052b7f8e533b2e7fe ### course id PHMSCI 756 ### course uid course\_67978614b779bbb175342a70 ### catalog version id 78c1a587b3e0bd6d974a7dae50b6d90acc6492ac1b687f9babad856c9f04bfb8 ### course number 756 ### subjects * PHMSCI ### title INTRODUCTION TO DATA ANALYSES IN DRUG DEVELOPMENT ### description Provides a high-level overview of how data analysis techniques augment the drug discovery and development process. Focuses on project-based skills-building through the application of industry-standard software and use of public databases. Explores best practices for data processing and management to ensure experimental reproducibility. Develops troubleshooting skills through critical evaluation of data analysis results and root cause analysis. ### requirements text Declared in MS Pharmaceutical Sciences: Applied Drug Development ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 0f8e6679bc5196326376f1ff1df5d6aadce42ae297534dd05ed7c29375205cdf ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to data analysis techniques in drug development, focusing on software application, data management, and reproducibility. ### llm topics * Data analysis in drug discovery and development. * Use of public databases in pharmaceutical research. * Data processing and management best practices. ### llm skills * Application of industry-standard software for data analysis. * Data processing and management for experimental reproducibility. * Troubleshooting and root cause analysis of data results. ### llm assumed background * Must be a declared student in the MS Pharmaceutical Sciences: Applied Drug Development program. ### llm search phrases * data analysis drug discovery * pharmaceutical data management * drug development software * experimental reproducibility data ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 53bae67ba2c8d493e23b1262f5def8195fbe297159ac52cf270b1294dde92481 #### course id PHMSCI 756 #### 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: 3.86 GPA, 85.7% A/AB (n=7 letter grades); Spring 2025: 3.78 GPA, 88.9% A/AB (n=9 letter grades); Spring 2026: 3.89 GPA, 88.9% A/AB (n=9 letter grades). ```json { "citations": [ { "course_id": "PHMSCI 756", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3cbec926-13ff-3a9a-8de1-0d99288279ba", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "PHMSCI 756", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3cbec926-13ff-3a9a-8de1-0d99288279ba", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "PHMSCI 756", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3cbec926-13ff-3a9a-8de1-0d99288279ba", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Declared in MS Pharmaceutical Sciences: Applied Drug Development", "course": null, "evidence": "Declared in MS Pharmaceutical Sciences: Applied Drug Development", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_2b1401944f4eb3f1aa91ea8c", "source": "madgrades", "source_instructor_id": "1567862", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SPENCER ERICKSEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.84, "graded": 25, "counts": [ 21, 1, 2, 1, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/SPENCER_ERICKSEN--instructor_2b1401944f4eb3f1aa91ea8c" }, { "instructor_uid": "instructor_6a9b0222575aebcd9eef7459", "source": "madgrades", "source_instructor_id": "4789926", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIN YIN LIM", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.457, "graded": 645, "counts": [ 278, 161, 118, 57, 27, 4, 0 ], "sections": 22 }, "instructor_url": "/instructors/SIN_YIN_LIM--instructor_6a9b0222575aebcd9eef7459" }, { "instructor_uid": "instructor_8710b92b1bce764441f21402", "source": "madgrades", "source_instructor_id": "6091789", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XUEQING NIE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.274, "graded": 93, "counts": [ 23, 23, 34, 8, 5, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/XUEQING_NIE--instructor_8710b92b1bce764441f21402" }, { "instructor_uid": "instructor_8afb1780b25eac5b3420199f", "source": "madgrades", "source_instructor_id": "6579192", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FUMIN LI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.84, "graded": 25, "counts": [ 21, 1, 2, 1, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/FUMIN_LI--instructor_8afb1780b25eac5b3420199f" }, { "instructor_uid": "instructor_da0eed4e2bb11182e87cd6a0", "source": "madgrades", "source_instructor_id": "6452372", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YAXIAN LIAO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.857, "graded": 7, "counts": [ 6, 0, 1, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/YAXIAN_LIAO--instructor_da0eed4e2bb11182e87cd6a0" }, { "instructor_uid": "instructor_e89bd6df41fd0dfbffb72a56", "source": "madgrades", "source_instructor_id": "6547556", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XUANKUN CHEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.783, "graded": 46, "counts": [ 30, 13, 2, 1, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/XUANKUN_CHEN--instructor_e89bd6df41fd0dfbffb72a56" }, { "instructor_uid": "instructor_e77716a5d0c35f22d1630eb2", "source": "madgrades", "source_instructor_id": "5008061", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SARAH STEVENS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.889, "graded": 9, "counts": [ 8, 0, 1, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/SARAH_STEVENS" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 756", "course_uid": "course_67978614b779bbb175342a70", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Min Li", "SPENCER ERICKSEN", "Sin Yin Lim", "XUEQING NIE" ], "a": 0, "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": 0, "source_aliases": [ "PHMSCI 756" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 756", "course_uid": "course_67978614b779bbb175342a70", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Min Li", "SPENCER ERICKSEN", "Sin Yin Lim", "YAXIAN LIAO" ], "a": 6, "ab": 0, "b": 1, "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": 7, "source_aliases": [ "PHMSCI 756" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 756", "course_uid": "course_67978614b779bbb175342a70", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Min Li", "SPENCER ERICKSEN", "Sin Yin Lim", "XUANKUN Chen" ], "a": 7, "ab": 1, "b": 0, "bc": 1, "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": 9, "source_aliases": [ "PHMSCI 756" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 756", "course_uid": "course_67978614b779bbb175342a70", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Isaiah Stevens", "Min Li", "SPENCER ERICKSEN", "Sin Yin Lim", "XUANKUN Chen" ], "a": 8, "ab": 0, "b": 1, "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": 10, "source_aliases": [ "PHMSCI 756" ] } ] ``` ### statistics #### gpa 3.84 #### graded 25 #### counts * 21 * 1 * 2 * 1 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * 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| | PHMSCI | | #### 1254 ##### term 1254 ##### gpa 3.7777777777777777 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1264 ##### term 1264 ##### gpa 3.888888888888889 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | ### benchmarks #### all ##### school ###### size 2701 ###### gpa 3.6818072807746525 ###### top Share 83.341103666219 ###### count 104 ##### PHMSCI ###### size 16 ###### gpa 3.7508830277266307 ###### top Share 86.54552954581106 ###### count 104 #### terms ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_2b1401944f4eb3f1aa91ea8c", "name": "SPENCER ERICKSEN", "count": 25, "terms": [ { "term": "1244", "count": 7, "sections": 1, "gpa": 3.857142857142857 }, { "term": "1254", "count": 9, "sections": 2, "gpa": 3.7777777777777777 }, { "term": "1264", "count": 9, "sections": 2, "gpa": 3.888888888888889 } ] }, { "uid": "instructor_6a9b0222575aebcd9eef7459", "name": "SIN YIN LIM", "count": 25, "terms": [ { "term": "1244", "count": 7, "sections": 1, "gpa": 3.857142857142857 }, { "term": "1254", "count": 9, "sections": 2, "gpa": 3.7777777777777777 }, { "term": "1264", "count": 9, "sections": 2, "gpa": 3.888888888888889 } ] }, { "uid": "instructor_8afb1780b25eac5b3420199f", "name": "FUMIN LI", "count": 25, "terms": [ { "term": "1244", "count": 7, "sections": 1, "gpa": 3.857142857142857 }, { "term": "1254", "count": 9, "sections": 2, "gpa": 3.7777777777777777 }, { "term": "1264", "count": 9, "sections": 2, "gpa": 3.888888888888889 } ] }, { "uid": "instructor_e89bd6df41fd0dfbffb72a56", "name": "XUANKUN CHEN", "count": 18, "terms": [ { "term": "1254", "count": 9, "sections": 2, "gpa": 3.7777777777777777 }, { "term": "1264", "count": 9, "sections": 2, "gpa": 3.888888888888889 } ] }, { "uid": "instructor_e77716a5d0c35f22d1630eb2", "name": "SARAH STEVENS", "count": 9, "terms": [ { "term": "1264", "count": 9, "sections": 2, "gpa": 3.888888888888889 } ] }, { "uid": "instructor_da0eed4e2bb11182e87cd6a0", "name": "YAXIAN LIAO", "count": 7, "terms": [ { "term": "1244", "count": 7, "sections": 1, "gpa": 3.857142857142857 } ] } ] ``` ## following None recorded.