# STAT 405: Data Science Computing Project | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_405) ## 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 c12a2c347cf0ac410e68eb71fc609097ceed637217982ad4e5d6cfc78bccc5fa ### course id STAT 405 ### course uid course\_a420e635de610c245d2c3002 ### catalog version id 12052e105f981a5b26fb640fd14a8a6601ddf936fce0a0a9a9062da0d5758a43 ### course number 405 ### subjects * STAT ### title DATA SCIENCE COMPUTING PROJECT ### description The development of tools necessary for collecting, managing, and analyzing large data sets. Examples of techniques and programs used include Linux, R, distributed computing, text editor(s), git/github, and other related tools. Work in teams to research, develop, write, and make presentations related to a variety of data analysis projects. ### requirements text (STAT 240or303) and (COMP SCI 200,220,300, or placement intoCOMP SCI 300), or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:026274 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 01312eabbd909112788028713c1d03ff54941ace69eb40db4fe46406b96c0128 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 405 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing. ### llm topics * Linux, R, distributed computing, git/github * Data analysis projects ### llm skills * Collecting, managing, and analyzing large data sets * Team-based research, development, writing, and presentation ### llm assumed background * Prerequisites in statistical modeling (STAT 240/303) and programming fundamentals (COMPSCI 200/220/300) provide background in data analysis, R/Python, and basic coding. * Familiarity with Linux, R, distributed computing, git/github, and text editors is assumed for the course tools. ### llm search phrases * data science computing project * STAT 405 prerequisites * large data sets analysis tools * R and git github course ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 3f63db838936513fa83f7080bfc79c898d3ff5e79d1d207536f3f3849d75321d #### course id STAT 405 #### current instructors ```json [ { "instructor_uid": "instructor_4d0f89219b9efbef40920d35", "message": null, "name": "John Gillett", "review_status": "supported", "rmp_instructor_id": "rmp:1567077", "summary": [ { "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" }, { "instructor_name": "John Gillett", "review_date": "2025-09-28 20:29:23 +0000 UTC", "review_id": "f290a17241e75366223606af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQxNjcxMzUy", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" } ], "text": "John Gillett is praised for clear, step-by-step instruction and helpful office hours, with one student calling him their favorite. However, he is noted for assigning heavy, hard homework with strict deadlines, and he was initially unwilling to grant extensions despite accommodations." }, { "citations": [ { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2024: 3.35 GPA, 68.9% A/AB (n=61 letter grades); Spring 2025: 3.65 GPA, 80.0% A/AB (n=55 letter grades); Spring 2026: 3.59 GPA, 80.4% A/AB (n=46 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_05c51e51dfbeab703c25aeaf", "message": "No course-specific reviews available", "name": "Ming Pei", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.65 GPA, 80.0% A/AB (n=55 letter grades); Spring 2026: 3.59 GPA, 80.4% A/AB (n=46 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload The course involves heavy and hard homework assignments with tight and strict deadlines, even for students with flexible accommodation needs. ```json { "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" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take John Gillett is praised as an excellent lecturer who provides clear guidance and helpful office hours, though he is also noted for assigning heavy homework with strict deadlines. ```json { "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" }, { "instructor_name": "John Gillett", "review_date": "2025-09-28 20:29:23 +0000 UTC", "review_id": "f290a17241e75366223606af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQxNjcxMzUy", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.35 GPA, 68.9% A/AB (n=61 letter grades); Spring 2025: 3.65 GPA, 80.0% A/AB (n=55 letter grades); Spring 2026: 3.59 GPA, 80.4% A/AB (n=46 letter grades). ```json { "citations": [ { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students find Gillett's office hours super helpful, leaving them feeling more confident in the material, and appreciate his kindness and special accommodations. ```json { "citations": [ { "instructor_name": "John Gillett", "review_date": "2025-09-28 20:29:23 +0000 UTC", "review_id": "f290a17241e75366223606af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQxNjcxMzUy", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JOHN GILLETT is recorded teaching in Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MING PEI is recorded teaching in Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 405", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "source_record": { "entity_id": "4789cf97-b05e-3197-a28d-e691b483fa81", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "(STAT 240or303) and (COMP SCI 200,220,300, or placement intoCOMP SCI 300), or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "(STAT 240or303) and (COMP SCI 200,220,300, or placement intoCOMP SCI 300)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "(STAT 240or303)", "id": "n3", "kind": "any" }, { "children": [ "n7", "n8", "n9", "n10" ], "condition": null, "course": null, "evidence": "(COMP SCI 200,220,300, or placement intoCOMP SCI 300)", "id": "n4", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 240, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 240", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "303", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "300", "id": "n9", "kind": "course" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "n10", "kind": "condition" } ] ``` #### notes * The phrase 'placement intoCOMP SCI 300' is treated as a verbatim condition leaf because 'placement' is not a course node and the reference to COMPSCI 300 is ambiguous as a placement test vs course credit. It is marked needs\_review if strict #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_4d0f89219b9efbef40920d35", "source": "enrollment", "source_instructor_id": "jgillett", "identity_basis": "netid", "identity_status": "source_identified", "name": "John Gillett", "email": "JGILLETT@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 67, "quality": 4.39, "difficulty": 2.66, "quality_count": 67, "difficulty_count": 67, "profile_id": "rmp:1567077", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "match_basis": "exact_name", "observed_at": "2026-09-07 16:31:37.860973+00:00", "courses": { "course_64851c516bf8195a88f81cc4": { "review_count": 12, "quality": 4.42, "difficulty": 2.92, "quality_count": 12, "difficulty_count": 12 }, "course_a420e635de610c245d2c3002": { "review_count": 2, "quality": 4, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_bf80347054c4234ada79c07e": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 21, "quality": 4.05, "difficulty": 2.81, "quality_count": 21, "difficulty_count": 21 }, "course_9d705456a9a3f278c1b60cc6": { "review_count": 5, "quality": 4.8, "difficulty": 3, "quality_count": 5, "difficulty_count": 5 }, "course_06abb97e9793bf858754daa3": { "review_count": 6, "quality": 5, "difficulty": 1.83, "quality_count": 6, "difficulty_count": 6 }, "course_1282dc8dbc1e7c5749f7cc41": { "review_count": 3, "quality": 2.33, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.222111674378527, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/JOHN_GILLETT" }, { "instructor_uid": "instructor_05c51e51dfbeab703c25aeaf", "source": "enrollment", "source_instructor_id": "mpei3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ming Pei", "email": "MPEI3@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/MING_PEI" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:026274", "course_id": "STAT 405", "course_uid": "course_a420e635de610c245d2c3002", "term_id": "1272", "source_course_id": "026274", "source_subject_id": "932", "title": "Data Science Computing Project", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34652", "term_id": "1272", "source_section_id": "34652", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 52, "enrolled": 48, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_be349776153ff3c511c3de89", "source": "madgrades", "source_instructor_id": "5905014", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHAN LU", "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": 3.633, "graded": 398, "counts": [ 222, 98, 52, 18, 6, 2, 0 ], "sections": 8 }, "instructor_url": "/instructors/SHAN_LU" }, { "instructor_uid": "instructor_c29c695b537eb30977ee94b5", "source": "madgrades", "source_instructor_id": "608997", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN GILLETT", "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", "ratings": { "review_count": 67, "quality": 4.39, "difficulty": 2.66, "quality_count": 67, "difficulty_count": 67, "profile_id": "rmp:1567077", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "match_basis": "exact_name", "observed_at": "2026-09-07 16:31:37.860973+00:00", "courses": { "course_64851c516bf8195a88f81cc4": { "review_count": 12, "quality": 4.42, "difficulty": 2.92, "quality_count": 12, "difficulty_count": 12 }, "course_a420e635de610c245d2c3002": { "review_count": 2, "quality": 4, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_bf80347054c4234ada79c07e": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 21, "quality": 4.05, "difficulty": 2.81, "quality_count": 21, "difficulty_count": 21 }, "course_9d705456a9a3f278c1b60cc6": { "review_count": 5, "quality": 4.8, "difficulty": 3, "quality_count": 5, "difficulty_count": 5 }, "course_06abb97e9793bf858754daa3": { "review_count": 6, "quality": 5, "difficulty": 1.83, "quality_count": 6, "difficulty_count": 6 }, "course_1282dc8dbc1e7c5749f7cc41": { "review_count": 3, "quality": 2.33, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.222111674378527, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.298, "graded": 5132, "counts": [ 2175, 857, 1009, 433, 504, 110, 44 ], "sections": 78 }, "instructor_url": "/instructors/JOHN_GILLETT--instructor_c29c695b537eb30977ee94b5" }, { "instructor_uid": "instructor_e25f9ce3598fecec0499ed94", "source": "madgrades", "source_instructor_id": "5840930", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL LIOU", "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": 3.352, "graded": 61, "counts": [ 27, 15, 8, 6, 2, 1, 2 ], "sections": 2 }, "instructor_url": "/instructors/MICHAEL_LIOU--instructor_e25f9ce3598fecec0499ed94" }, { "instructor_uid": "instructor_d4fd286f1cae398ca75fae10", "source": "madgrades", "source_instructor_id": "6376304", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MING PEI", "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": 3.745, "graded": 192, "counts": [ 137, 30, 15, 4, 5, 1, 0 ], "sections": 6 }, "instructor_url": "/instructors/MING_PEI--instructor_d4fd286f1cae398ca75fae10" }, { "instructor_uid": "instructor_05c51e51dfbeab703c25aeaf", "source": "enrollment", "source_instructor_id": "mpei3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ming Pei", "email": "MPEI3@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/MING_PEI" }, { "instructor_uid": "instructor_4d0f89219b9efbef40920d35", "source": "enrollment", "source_instructor_id": "jgillett", "identity_basis": "netid", "identity_status": "source_identified", "name": "John Gillett", "email": "JGILLETT@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 67, "quality": 4.39, "difficulty": 2.66, "quality_count": 67, "difficulty_count": 67, "profile_id": "rmp:1567077", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "match_basis": "exact_name", "observed_at": "2026-09-07 16:31:37.860973+00:00", "courses": { "course_64851c516bf8195a88f81cc4": { "review_count": 12, "quality": 4.42, "difficulty": 2.92, "quality_count": 12, "difficulty_count": 12 }, "course_a420e635de610c245d2c3002": { "review_count": 2, "quality": 4, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_bf80347054c4234ada79c07e": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 21, "quality": 4.05, "difficulty": 2.81, "quality_count": 21, "difficulty_count": 21 }, "course_9d705456a9a3f278c1b60cc6": { "review_count": 5, "quality": 4.8, "difficulty": 3, "quality_count": 5, "difficulty_count": 5 }, "course_06abb97e9793bf858754daa3": { "review_count": 6, "quality": 5, "difficulty": 1.83, "quality_count": 6, "difficulty_count": 6 }, "course_1282dc8dbc1e7c5749f7cc41": { "review_count": 3, "quality": 2.33, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.222111674378527, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/JOHN_GILLETT" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 405", "course_uid": "course_a420e635de610c245d2c3002", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "John Gillett", "SHAN LU" ], "a": 13, "ab": 5, "b": 4, "bc": 5, "c": 1, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "STAT 405" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 405", "course_uid": "course_a420e635de610c245d2c3002", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "John Gillett", "MICHAEL LIOU" ], "a": 27, "ab": 15, "b": 8, "bc": 6, "c": 2, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 61, "source_aliases": [ "STAT 405" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 405", "course_uid": "course_a420e635de610c245d2c3002", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "John Gillett", "Ming Pei" ], "a": 37, "ab": 7, "b": 5, "bc": 2, "c": 4, "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": 55, "source_aliases": [ "STAT 405" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 405", "course_uid": "course_a420e635de610c245d2c3002", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "John Gillett", "Ming Pei" ], "a": 25, "ab": 12, "b": 5, "bc": 2, "c": 1, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "STAT 405" ] } ] ``` ### statistics #### gpa 3.492 #### graded 191 #### counts * 102 * 39 * 22 * 15 * 8 * 3 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a420e635de610c245d2c3002-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a420e635de610c245d2c3002-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a420e635de610c245d2c3002-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a420e635de610c245d2c3002-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_a420e635de610c245d2c3002-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_a420e635de610c245d2c3002-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_a420e635de610c245d2c3002-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_a420e635de610c245d2c3002-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a420e635de610c245d2c3002-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a420e635de610c245d2c3002-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.492146596858639 #### count 191 #### university ##### size 2701 ##### gpa Percentile 22 ##### count Percentile 70 ##### median Count 104 ##### 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 | 13 | false | | 2.8–3.2 | 172 | false | | 3.2–3.6 | 693 | true | | 3.6–4.0 | 1823 | false | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 47, "gpaPercentile": 41, "countPercentile": 59, "medianCount": 149, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 24, "current": false } ] } } ] ``` ### terms #### 1234 ##### term 1234 ##### gpa 3.3448275862068964 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1244 ##### term 1244 ##### gpa 3.3524590163934427 ##### count 61 ##### university ###### size 1241 ###### gpa Percentile 23 ###### count Percentile 46 ###### median Count 65 ###### 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 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 46, "countPercentile": 43, "medianCount": 62, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.6454545454545455 ##### count 55 ##### university ###### size 1289 ###### gpa Percentile 46 ###### count Percentile 41 ###### median Count 66 ###### 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 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 28, "gpaPercentile": 67, "countPercentile": 33, "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": 11, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.5869565217391304 ##### count 46 ##### university ###### size 1283 ###### gpa Percentile 37 ###### count Percentile 30 ###### median Count 66 ###### 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 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 26, "gpaPercentile": 72, "countPercentile": 8, "medianCount": 66, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2701 ###### gpa 3.6818072807746525 ###### top Share 83.341103666219 ###### count 104 ##### STAT ###### size 47 ###### gpa 3.5363196161219537 ###### top Share 74.31357386264372 ###### count 149 #### terms ##### 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_c29c695b537eb30977ee94b5", "name": "JOHN GILLETT", "count": 191, "terms": [ { "term": "1234", "count": 29, "sections": 1, "gpa": 3.3448275862068964 }, { "term": "1244", "count": 61, "sections": 1, "gpa": 3.3524590163934427 }, { "term": "1254", "count": 55, "sections": 1, "gpa": 3.6454545454545455 }, { "term": "1264", "count": 46, "sections": 1, "gpa": 3.5869565217391304 } ] }, { "uid": "instructor_d4fd286f1cae398ca75fae10", "name": "MING PEI", "count": 101, "terms": [ { "term": "1254", "count": 55, "sections": 1, "gpa": 3.6454545454545455 }, { "term": "1264", "count": 46, "sections": 1, "gpa": 3.5869565217391304 } ] }, { "uid": "instructor_e25f9ce3598fecec0499ed94", "name": "MICHAEL LIOU", "count": 61, "terms": [ { "term": "1244", "count": 61, "sections": 1, "gpa": 3.3524590163934427 } ] }, { "uid": "instructor_be349776153ff3c511c3de89", "name": "SHAN LU", "count": 29, "terms": [ { "term": "1234", "count": 29, "sections": 1, "gpa": 3.3448275862068964 } ] } ] ``` ## following None recorded.