# STAT 605: Data Science Computing Project | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_605) ## 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 9a9d00c40e373fb76b77d92d541dc4bdcf98e578d56be5628a06b95462e96f00 ### course id STAT 605 ### course uid course\_6fd1a9b69697ce26f5edccf4 ### catalog version id bf7e6c3c59733b77cc9119ecede7c14f2eba0df1ee3055fe132d877cd56a451d ### course number 605 ### 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 utilized include Linux, R, distributed computing, powerful editor(s), git/github, and other related tools. Work in the class will be done in teams to research, develop, write, and make presentations related to a variety of data analysis projects. ### requirements text Declared in Statistics MS or Statistics VISP ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:025309 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id b3f52ff475f0bfc8b0e0b63758cf765c7552667f396ad9bbd81289a0d5df4ee0 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 605 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing. ### llm topics * Large data set management and analysis * Data science computing tools and environments * Data analysis projects ### llm skills * Collecting, managing, and analyzing large data sets * Using Linux, R, distributed computing, editors, and git/github * Team-based research, development, writing, and presentation ### llm assumed background None recorded. ### llm search phrases * STAT 605 data science computing * STAT 605 R Linux git * STAT 605 large data sets analysis ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 124ce708cfaa83232987ffe11a78807d7758ef9d21cce7df2d5b0a42734edf26 #### course id STAT 605 #### current instructors ```json [ { "instructor_uid": "instructor_4d0f89219b9efbef40920d35", "message": "No course-specific reviews available", "name": "John Gillett", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:1567077", "summary": [ { "citations": [ { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.72 GPA, 88.9% A/AB (n=9 letter grades); Fall 2025: 3.89 GPA, 95.7% A/AB (n=23 letter grades); Spring 2026: 3.82 GPA, 90.9% A/AB (n=11 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 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.72 GPA, 88.9% A/AB (n=9 letter grades); Fall 2025: 3.89 GPA, 95.7% A/AB (n=23 letter grades); Spring 2026: 3.82 GPA, 90.9% A/AB (n=11 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 3.72 GPA, 88.9% A/AB (n=9 letter grades); Fall 2025: 3.89 GPA, 95.7% A/AB (n=23 letter grades); Spring 2026: 3.82 GPA, 90.9% A/AB (n=11 letter grades). ```json { "citations": [ { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "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 JOHN GILLETT is recorded teaching in Fall 2019, Fall 2020, Fall 2021, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MING PEI is recorded teaching in Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 605", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "edbd0130-3144-317d-af2e-1356cfd88959", "source_record": { "entity_id": "edbd0130-3144-317d-af2e-1356cfd88959", "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": [], "condition": "Declared in Statistics MS or Statistics VISP", "course": null, "evidence": "Declared in Statistics MS or Statistics VISP", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### 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": "1272:932:025309", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1272", "source_course_id": "025309", "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:1272:20361", "term_id": "1272", "source_section_id": "20361", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 15, "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_a37aaac156a2021f5b113095", "source": "madgrades", "source_instructor_id": "5906523", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BI CHENG WU", "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": 142, "quality": 1.75, "difficulty": 4.07, "quality_count": 142, "difficulty_count": 142, "profile_id": "rmp:2772143", "source_url": "https://www.ratemyprofessors.com/professor/2772143", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:48.269666+00:00", "courses": { "course_bf80347054c4234ada79c07e": { "review_count": 18, "quality": 1.61, "difficulty": 4.11, "quality_count": 18, "difficulty_count": 18 }, "course_d2d0c15e32bd1631a6074548": { "review_count": 49, "quality": 1.45, "difficulty": 4.35, "quality_count": 49, "difficulty_count": 49 }, "course_03f8aaae24bac7658b319ca8": { "review_count": 67, "quality": 1.97, "difficulty": 3.84, "quality_count": 67, "difficulty_count": 67 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 1, "quality": 1, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_06abb97e9793bf858754daa3": { "review_count": 3, "quality": 3.67, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 }, "course_ef9c9cd4a7d8002288a4cf7c": { "review_count": 4, "quality": 1.25, "difficulty": 4.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 1.9857636769810612, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.226, "graded": 3884, "counts": [ 1399, 771, 792, 374, 412, 99, 37 ], "sections": 33 }, "instructor_url": "/instructors/BI_CHENG_WU--instructor_a37aaac156a2021f5b113095" }, { "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_6cad7c24de51315540604b40", "source": "madgrades", "source_instructor_id": "6315817", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KEITH LEVIN", "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": 52, "quality": 1.9, "difficulty": 4.04, "quality_count": 52, "difficulty_count": 52, "profile_id": "rmp:2726941", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "match_basis": "exact_name", "observed_at": "2026-09-07 16:26:32.891187+00:00", "courses": { "course_e593b86c370a0c671af794df": { "review_count": 12, "quality": 2.5, "difficulty": 4.33, "quality_count": 12, "difficulty_count": 12 }, "course_d2d0c15e32bd1631a6074548": { "review_count": 39, "quality": 1.74, "difficulty": 3.92, "quality_count": 39, "difficulty_count": 39 } }, "bayesian_quality": 2.388801606540721, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.265, "graded": 719, "counts": [ 219, 204, 162, 69, 42, 15, 8 ], "sections": 25 }, "instructor_url": "/instructors/KEITH_LEVIN--instructor_6cad7c24de51315540604b40" }, { "instructor_uid": "instructor_d5f63941bb5f22a09960433e", "source": "madgrades", "source_instructor_id": "5518378", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YONGSU LEE", "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": 4, "quality": 3, "difficulty": 3.75, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:2482974", "source_url": "https://www.ratemyprofessors.com/professor/2482974", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:35.108147+00:00", "courses": { "course_24942ca6acb3a153de2907d5": { "review_count": 4, "quality": 3, "difficulty": 3.75, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.5497381529554963, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.733, "graded": 536, "counts": [ 374, 85, 56, 13, 3, 1, 4 ], "sections": 10 }, "instructor_url": "/instructors/YONGSU_LEE--instructor_d5f63941bb5f22a09960433e" }, { "instructor_uid": "instructor_ebccd50a43f3c8007d148ac1", "source": "madgrades", "source_instructor_id": "6090509", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELINA CHOI", "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": 3.643, "graded": 210, "counts": [ 143, 29, 15, 9, 10, 4, 0 ], "sections": 7 }, "instructor_url": "/instructors/ELINA_CHOI--instructor_ebccd50a43f3c8007d148ac1" }, { "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_f239799e8b1d244fb8b0f240", "source": "madgrades", "source_instructor_id": "6208535", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIXU 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": 3.615, "graded": 394, "counts": [ 257, 44, 50, 23, 15, 5, 0 ], "sections": 13 }, "instructor_url": "/instructors/SIXU_LI--instructor_f239799e8b1d244fb8b0f240" }, { "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 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Bi Cheng Wu", "John Gillett" ], "a": 57, "ab": 16, "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": 74, "source_aliases": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Bi Cheng Wu", "John Gillett", "Keith Levin" ], "a": 32, "ab": 26, "b": 8, "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": 66, "source_aliases": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "John Gillett", "Yong Jae Lee" ], "a": 44, "ab": 7, "b": 2, "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": 53, "source_aliases": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ELINA CHOI", "John Gillett" ], "a": 52, "ab": 5, "b": 0, "bc": 2, "c": 0, "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": 60, "source_aliases": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "John Gillett", "SHAN LU" ], "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": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "John Gillett", "SIXU LI" ], "a": 53, "ab": 2, "b": 1, "bc": 0, "c": 1, "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": 57, "source_aliases": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "John Gillett", "MICHAEL LIOU" ], "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": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "John Gillett", "Ming Pei" ], "a": 43, "ab": 3, "b": 2, "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": 48, "source_aliases": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "John Gillett", "Ming Pei" ], "a": 5, "ab": 3, "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": 9, "source_aliases": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "John Gillett", "Ming Pei" ], "a": 19, "ab": 3, "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": 23, "source_aliases": [ "STAT 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 605", "course_uid": "course_6fd1a9b69697ce26f5edccf4", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "John Gillett", "Ming Pei" ], "a": 8, "ab": 2, "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": 11, "source_aliases": [ "STAT 605" ] } ] ``` ### statistics #### gpa 3.854 #### graded 401 #### counts * 313 * 67 * 17 * 2 * 1 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_6fd1a9b69697ce26f5edccf4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_6fd1a9b69697ce26f5edccf4-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_6fd1a9b69697ce26f5edccf4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_6fd1a9b69697ce26f5edccf4-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_6fd1a9b69697ce26f5edccf4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_6fd1a9b69697ce26f5edccf4-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_6fd1a9b69697ce26f5edccf4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_6fd1a9b69697ce26f5edccf4-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8541147132169575 #### count 401 #### university ##### size 4520 ##### gpa Percentile 65 ##### count Percentile 79 ##### median Count 129.5 ##### 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 | 10 | false | | 2.8–3.2 | 239 | false | | 3.2–3.6 | 1100 | false | | 3.6–4.0 | 3171 | true | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 70, "gpaPercentile": 83, "countPercentile": 67, "medianCount": 195.5, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 31, "current": false }, { "range": "3.6–4.0", "count": 31, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.8783783783783785 ##### count 74 ##### university ###### size 1102 ###### gpa Percentile 85 ###### count Percentile 54 ###### 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 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 86, "countPercentile": 41, "medianCount": 80.5, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.6818181818181817 ##### count 66 ##### university ###### size 1111 ###### gpa Percentile 54 ###### count Percentile 48 ###### 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 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 71, "countPercentile": 33, "medianCount": 100, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.8962264150943398 ##### count 53 ##### university ###### size 1157 ###### gpa Percentile 84 ###### count Percentile 39 ###### median Count 64 ###### 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 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 90, "countPercentile": 42, "medianCount": 55.5, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.8583333333333334 ##### count 60 ##### university ###### size 1216 ###### gpa Percentile 77 ###### count Percentile 45 ###### 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 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 90, "countPercentile": 45, "medianCount": 60.5, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.9298245614035086 ##### count 57 ##### university ###### size 1295 ###### gpa Percentile 85 ###### count Percentile 43 ###### median Count 67 ###### 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 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 91, "countPercentile": 52, "medianCount": 55, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.9270833333333335 ##### count 48 ##### university ###### size 1333 ###### gpa Percentile 85 ###### count Percentile 32 ###### median Count 69 ###### 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 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 94, "countPercentile": 35, "medianCount": 70.5, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.7222222222222223 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1262 ##### term 1262 ##### gpa 3.891304347826087 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1264 ##### term 1264 ##### gpa 3.8181818181818183 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | ### benchmarks #### all ##### school ###### size 4520 ###### gpa 3.6995124135742423 ###### top Share 84.31984899859991 ###### count 129.5 ##### STAT ###### size 70 ###### gpa 3.5494838077505917 ###### top Share 75.74829300290241 ###### count 195.5 #### terms ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### STAT ###### size 30 ###### gpa 3.4022744829589433 ###### top Share 67.29048111947832 ###### count 80.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### STAT ###### size 32 ###### gpa 3.4861059411832307 ###### top Share 71.46520654148341 ###### count 55.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### STAT ###### size 32 ###### gpa 3.4024781451477413 ###### top Share 66.63145704464162 ###### count 60.5 ##### 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 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 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 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 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 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ##### 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": 386, "terms": [ { "term": "1202", "count": 74, "sections": 1, "gpa": 3.8783783783783785 }, { "term": "1212", "count": 51, "sections": 1, "gpa": 3.656862745098039 }, { "term": "1222", "count": 53, "sections": 1, "gpa": 3.8962264150943398 }, { "term": "1232", "count": 60, "sections": 1, "gpa": 3.8583333333333334 }, { "term": "1242", "count": 57, "sections": 1, "gpa": 3.9298245614035086 }, { "term": "1252", "count": 48, "sections": 1, "gpa": 3.9270833333333335 }, { "term": "1254", "count": 9, "sections": 1, "gpa": 3.7222222222222223 }, { "term": "1262", "count": 23, "sections": 1, "gpa": 3.891304347826087 }, { "term": "1264", "count": 11, "sections": 1, "gpa": 3.8181818181818183 } ] }, { "uid": "instructor_a37aaac156a2021f5b113095", "name": "BI CHENG WU", "count": 140, "terms": [ { "term": "1202", "count": 74, "sections": 1, "gpa": 3.8783783783783785 }, { "term": "1212", "count": 66, "sections": 2, "gpa": 3.6818181818181817 } ] }, { "uid": "instructor_d4fd286f1cae398ca75fae10", "name": "MING PEI", "count": 91, "terms": [ { "term": "1252", "count": 48, "sections": 1, "gpa": 3.9270833333333335 }, { "term": "1254", "count": 9, "sections": 1, "gpa": 3.7222222222222223 }, { "term": "1262", "count": 23, "sections": 1, "gpa": 3.891304347826087 }, { "term": "1264", "count": 11, "sections": 1, "gpa": 3.8181818181818183 } ] }, { "uid": "instructor_ebccd50a43f3c8007d148ac1", "name": "ELINA CHOI", "count": 60, "terms": [ { "term": "1232", "count": 60, "sections": 1, "gpa": 3.8583333333333334 } ] }, { "uid": "instructor_f239799e8b1d244fb8b0f240", "name": "SIXU LI", "count": 57, "terms": [ { "term": "1242", "count": 57, "sections": 1, "gpa": 3.9298245614035086 } ] }, { "uid": "instructor_d5f63941bb5f22a09960433e", "name": "YONGSU LEE", "count": 53, "terms": [ { "term": "1222", "count": 53, "sections": 1, "gpa": 3.8962264150943398 } ] }, { "uid": "instructor_6cad7c24de51315540604b40", "name": "KEITH LEVIN", "count": 15, "terms": [ { "term": "1212", "count": 15, "sections": 1, "gpa": 3.7666666666666666 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.9075691870995173 ### grades | grade | percentage | | ----- | ------------------- | | A | 88.73361290299431 | | AB | 7.165519995981158 | | B | 2.541412909991397 | | BC | 0.7226738934056007 | | C | 0.4754433509247372 | | D | 0.36133694670280037 | | F | 0 | ### source Terms * 1252 * 1242 * 1232 * 1222 ### source Count 218 ### same Season true ### historical Range * 3.8583333333333334 * 3.929824561403509