# STAT 421: Applied Categorical Data Analysis | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_421) ## 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 df56ca15c6f28a571a2be6ed5a6f6e00506978d1157f2b8e2e0b81a57a13c14a ### course id STAT 421 ### course uid course\_096be5272e913d9005e3298b ### catalog version id d4789f66d26263b4aacb29fd1b7063b097d781d672fbe6aab67607c7a084fb13 ### course number 421 ### subjects * STAT ### title APPLIED CATEGORICAL DATA ANALYSIS ### description "Which is more popular, Apple, PC, or Linux?" "Rate your satisfaction with this product on a scale from 1 to 5." Organizing information into categories is natural! But, canonical statistical approaches like standard linear regression are not designed for analyzing such data. Develop techniques appropriate for analyzing categorical response data, with an emphasis on their application. Topics include: multidimensional contingency tables, inference for measures of association between categorical variables, and regression modeling for categorical data - specifically, logistic Poisson regression. Utilizes the R programming language. ### requirements text STAT 333,340, graduate/professional standing, or declared in Statistics VISP ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:018462 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 090a77d8d3da099b4868c56747a4b1db2f1a9085e739e56841b5c824ab271222 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 421 teaches techniques for analyzing categorical response data, including contingency tables and regression modeling, using R. ### llm topics * Multidimensional contingency tables and association measures. * Logistic and Poisson regression. ### llm skills * Analyzing categorical response data using R. * Analyzing multidimensional contingency tables and association measures. * Applying logistic and Poisson regression models. ### llm assumed background * Prerequisites in regression analysis and R programming. ### llm search phrases * applied categorical data analysis * logistic regression STAT 421 * contingency tables statistics * R programming categorical data ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 63b6913246ce0854740f7e726bf7611f005425cfa19a7669c83ae97e2f0fc5b5 #### course id STAT 421 #### current instructors ```json [ { "instructor_uid": "instructor_a5cfff7fd6e7d307b48caad1", "message": null, "name": "Derek Bean", "review_status": "supported", "rmp_instructor_id": "rmp:2158238", "summary": [ { "citations": [ { "instructor_name": "Derek Bean", "review_date": "2021-12-26 17:02:06 +0000 UTC", "review_id": "7bc5b8724442781e3ef64c2d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTM1NjU2NTYy", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" }, { "instructor_name": "Derek Bean", "review_date": "2022-03-24 02:52:32 +0000 UTC", "review_id": "80719d3beb34f7dfb5f38b2f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTM1OTY5NTc0", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" } ], "text": "Derek Bean is praised for his organization and clear lectures, though coding demos may need improvement. He provides comprehensive Canvas materials, and attendance is not required." }, { "citations": [ { "instructor_name": "Derek Bean", "review_date": "2024-12-04 03:06:15 +0000 UTC", "review_id": "b33e1c5992539dcc69ed3f05", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTQwMDkxOTk0", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" }, { "instructor_name": "Derek Bean", "review_date": "2024-12-04 03:17:48 +0000 UTC", "review_id": "e0c9a735bc22985312bf6aba", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTQwMDkyMTc3", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" }, { "instructor_name": "Derek Bean", "review_date": "2024-12-19 17:57:15 +0000 UTC", "review_id": "8d681382aa8daa5a5b4edea0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTQwMzgzMTAw", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" } ], "text": "Reviewers consistently report an overwhelming volume of homework, describing it as relentless and stressful. While some find the content useful and exams stress-free, the heavy workload is a major concern." }, { "citations": [ { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2022: 3.41 GPA, 71.4% A/AB (n=63 letter grades); Fall 2024: 3.51 GPA, 84.1% A/AB (n=82 letter grades); Fall 2025: 3.31 GPA, 58.9% A/AB (n=73 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_693507caf47fe17e4df269d0", "message": "No course-specific reviews available", "name": "Jialuo Li", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.31 GPA, 58.9% A/AB (n=73 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload The workload is relentless, consisting of approximately 66% homework with four to six hours of work per week across multiple large assignments. ```json { "citations": [ { "instructor_name": "Derek Bean", "review_date": "2022-03-24 02:52:32 +0000 UTC", "review_id": "80719d3beb34f7dfb5f38b2f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTM1OTY5NTc0", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" }, { "instructor_name": "Derek Bean", "review_date": "2024-12-04 03:06:15 +0000 UTC", "review_id": "b33e1c5992539dcc69ed3f05", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTQwMDkxOTk0", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" }, { "instructor_name": "Derek Bean", "review_date": "2024-12-04 03:17:48 +0000 UTC", "review_id": "e0c9a735bc22985312bf6aba", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTQwMDkyMTc3", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Wei-Yin Loh praise his energetic teaching and focus on conceptual understanding over memorization, with students finding him fair and inspirational. Conversely, a review for Kam-Wah Tsui describes lectures as hard to follow and unhelpful office hours, labeling the class unnecessarily difficult. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2012-11-07 15:37:28 +0000 UTC", "review_id": "632fcd2404e535201077f067", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTIwNzkzMjIx", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" }, { "instructor_name": "Wei-Yin Loh", "review_date": "2015-02-19 14:33:09 +0000 UTC", "review_id": "36c9de0c680ad20bb28e66ac", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTI0Mzk2NzA3", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" }, { "instructor_name": "Kam-Wah Tsui", "review_date": "2017-01-17 12:01:33 +0000 UTC", "review_id": "95e16709f3ecd71745cf5a1f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:765998", "source_review_id": "UmF0aW5nLTI3NzQxNzc5", "source_url": "https://www.ratemyprofessors.com/professor/765998", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Derek Bean is organized and provides clear grading criteria, though the course involves a heavy homework load that can be unpleasant for students with busy schedules. ```json { "citations": [ { "instructor_name": "Derek Bean", "review_date": "2021-12-26 17:02:06 +0000 UTC", "review_id": "7bc5b8724442781e3ef64c2d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTM1NjU2NTYy", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" }, { "instructor_name": "Derek Bean", "review_date": "2022-03-24 02:52:32 +0000 UTC", "review_id": "80719d3beb34f7dfb5f38b2f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTM1OTY5NTc0", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" }, { "instructor_name": "Derek Bean", "review_date": "2024-12-19 17:57:15 +0000 UTC", "review_id": "8d681382aa8daa5a5b4edea0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTQwMzgzMTAw", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" } ] } ``` Recent recorded grades — Fall 2022: 3.41 GPA, 71.4% A/AB (n=63 letter grades); Fall 2024: 3.51 GPA, 84.1% A/AB (n=82 letter grades); Fall 2025: 3.31 GPA, 58.9% A/AB (n=73 letter grades). ```json { "citations": [ { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Students report that the extensive homework improves R proficiency, while take-home exams without time limits provide a stress-free assessment method. ```json { "citations": [ { "instructor_name": "Derek Bean", "review_date": "2022-03-24 02:52:32 +0000 UTC", "review_id": "80719d3beb34f7dfb5f38b2f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTM1OTY5NTc0", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" }, { "instructor_name": "Derek Bean", "review_date": "2024-12-19 17:57:15 +0000 UTC", "review_id": "8d681382aa8daa5a5b4edea0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2158238", "source_review_id": "UmF0aW5nLTQwMzgzMTAw", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history DEREK BEAN is recorded teaching in Fall 2018, Fall 2019, Spring 2020, Fall 2021, Fall 2022, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` JIALUO LI is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` KAM-WAH TSUI is recorded teaching in Fall 2015, Fall 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" } ] } ``` WEI-YIN LOH is recorded teaching in Fall 2007, Fall 2008, Fall 2010, Fall 2012, Fall 2014, Fall 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "STAT 421", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "08eec04b-6920-3caa-a155-92cb1f572185", "source_record": { "entity_id": "08eec04b-6920-3caa-a155-92cb1f572185", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4" ], "condition": null, "course": null, "evidence": "STAT 333,340, graduate/professional standing, or declared in Statistics VISP", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 333, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 333", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "340", "id": "n2", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n3", "kind": "condition" }, { "children": [], "condition": "declared in Statistics VISP", "course": null, "evidence": "declared in Statistics VISP", "id": "n4", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_a5cfff7fd6e7d307b48caad1", "source": "enrollment", "source_instructor_id": "bean3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Derek Bean", "email": "DEREKB@STAT.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": 14, "quality": 3.57, "difficulty": 3.43, "quality_count": 14, "difficulty_count": 14, "profile_id": "rmp:2158238", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:51.253119+00:00", "courses": { "course_bf80347054c4234ada79c07e": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_096be5272e913d9005e3298b": { "review_count": 5, "quality": 3, "difficulty": 3.6, "quality_count": 5, "difficulty_count": 5 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_24942ca6acb3a153de2907d5": { "review_count": 3, "quality": 3.67, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 2, "quality": 3.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.622756343262703, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/DEREK_BEAN" }, { "instructor_uid": "instructor_693507caf47fe17e4df269d0", "source": "enrollment", "source_instructor_id": "jli2249", "identity_basis": "netid", "identity_status": "source_identified", "name": "Jialuo Li", "email": "JLI2249@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/JIALUO_LI" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:018462", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1272", "source_course_id": "018462", "source_subject_id": "932", "title": "Applied Categorical Data Analysis", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:28956", "term_id": "1272", "source_section_id": "28956", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 70, "enrolled": 46, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:28957", "term_id": "1272", "source_section_id": "28957", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 2, "enrolled": 0, "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_20bff09bd8c7abcebab15a2f", "source": "madgrades", "source_instructor_id": "2602108", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WEI-YIN LOH", "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": 24, "quality": 3.62, "difficulty": 3.71, "quality_count": 24, "difficulty_count": 24, "profile_id": "rmp:371080", "source_url": "https://www.ratemyprofessors.com/professor/371080", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:34.335211+00:00", "courses": { "course_3c746e3add116a6aa2b49441": { "review_count": 4, "quality": 4.25, "difficulty": 4, "quality_count": 4, "difficulty_count": 4 }, "course_bbb14bdd283ccb9368b888c2": { "review_count": 3, "quality": 2, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 }, "course_d2bc347ed5e5c07178b1f567": { "review_count": 2, "quality": 2, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_2c47f118c8b20b84e9ca9d5d": { "review_count": 1, "quality": 3, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_1ea543c8a9e3b7f76f3a2d83": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_096be5272e913d9005e3298b": { "review_count": 2, "quality": 4.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.63803899252118, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.512, "graded": 1421, "counts": [ 632, 434, 239, 45, 52, 10, 9 ], "sections": 82 }, "instructor_url": "/instructors/WEI-YIN_LOH--instructor_20bff09bd8c7abcebab15a2f" }, { "instructor_uid": "instructor_dbc68f59fd104024822f7fb7", "source": "madgrades", "source_instructor_id": "3622809", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIJIAN WANG", "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": 3.59, "graded": 316, "counts": [ 184, 72, 28, 17, 8, 4, 3 ], "sections": 32 }, "instructor_url": "/instructors/SIJIAN_WANG--instructor_dbc68f59fd104024822f7fb7" }, { "instructor_uid": "instructor_ac372d2f1d2072f2e887ce2a", "source": "madgrades", "source_instructor_id": "2602032", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KAM-WAH TSUI", "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": 15, "quality": 3.4, "difficulty": 2.67, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:765998", "source_url": "https://www.ratemyprofessors.com/professor/765998", "match_basis": "exact_name", "observed_at": "2026-09-07 16:27:41.910321+00:00", "courses": { "course_096be5272e913d9005e3298b": { "review_count": 1, "quality": 1, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_24942ca6acb3a153de2907d5": { "review_count": 2, "quality": 3, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_bf80347054c4234ada79c07e": { "review_count": 4, "quality": 3.5, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.54839187631234, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.167, "graded": 896, "counts": [ 332, 123, 195, 109, 103, 16, 18 ], "sections": 43 }, "instructor_url": "/instructors/KAM-WAH_TSUI--instructor_ac372d2f1d2072f2e887ce2a" }, { "instructor_uid": "instructor_7f2228b1cd7c414b33b7748a", "source": "madgrades", "source_instructor_id": "5192960", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LUXI CAO", "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": 3.356, "graded": 59, "counts": [ 19, 20, 10, 4, 6, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/LUXI_CAO" }, { "instructor_uid": "instructor_1171fccc74b380bbeb85801e", "source": "madgrades", "source_instructor_id": "3612595", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL MCCANTS", "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": 3.215, "graded": 254, "counts": [ 100, 32, 60, 23, 29, 9, 1 ], "sections": 3 }, "instructor_url": "/instructors/MICHAEL_MCCANTS" }, { "instructor_uid": "instructor_1172e88b5ae6ba42f3343950", "source": "madgrades", "source_instructor_id": "5694563", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BEHZAD AALIPUR HAFSHEJANI", "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": 3.617, "graded": 551, "counts": [ 350, 88, 57, 28, 19, 6, 3 ], "sections": 12 }, "instructor_url": "/instructors/BEHZAD_AALIPUR_HAFSHEJANI" }, { "instructor_uid": "instructor_776a80367ac941071d85ded3", "source": "madgrades", "source_instructor_id": "4264265", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DEREK BEAN", "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": 14, "quality": 3.57, "difficulty": 3.43, "quality_count": 14, "difficulty_count": 14, "profile_id": "rmp:2158238", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:51.253119+00:00", "courses": { "course_bf80347054c4234ada79c07e": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_096be5272e913d9005e3298b": { "review_count": 5, "quality": 3, "difficulty": 3.6, "quality_count": 5, "difficulty_count": 5 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_24942ca6acb3a153de2907d5": { "review_count": 3, "quality": 3.67, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 2, "quality": 3.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.622756343262703, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.251, "graded": 3442, "counts": [ 1220, 749, 730, 335, 284, 92, 32 ], "sections": 50 }, "instructor_url": "/instructors/DEREK_BEAN--instructor_776a80367ac941071d85ded3" }, { "instructor_uid": "instructor_2046459e5630973d60ed2b15", "source": "madgrades", "source_instructor_id": "640407", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NICHOLAS STEPHEN KEULER", "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": 3.1, "graded": 3078, "counts": [ 830, 628, 845, 223, 424, 82, 46 ], "sections": 39 }, "instructor_url": "/instructors/NICHOLAS_STEPHEN_KEULER" }, { "instructor_uid": "instructor_4f250f5861deaededb2c6c05", "source": "madgrades", "source_instructor_id": "5697552", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KUNLING HUANG", "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": 3.797, "graded": 106, "counts": [ 76, 19, 9, 2, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/KUNLING_HUANG" }, { "instructor_uid": "instructor_f9db28276a3caf5ccad82c2a", "source": "madgrades", "source_instructor_id": "5862942", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GINA OH", "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": 3.905, "graded": 58, "counts": [ 51, 3, 4, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/GINA_OH--instructor_f9db28276a3caf5ccad82c2a" }, { "instructor_uid": "instructor_1dac8b32aaa979b27c9dc913", "source": "madgrades", "source_instructor_id": "5514561", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MUHONG GAO", "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": 3, "quality": 2.33, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2519991", "source_url": "https://www.ratemyprofessors.com/professor/2519991", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:21.017535+00:00", "courses": { "course_24942ca6acb3a153de2907d5": { "review_count": 2, "quality": 3, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.4862485074318217, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.747, "graded": 348, "counts": [ 247, 62, 24, 6, 5, 2, 2 ], "sections": 5 }, "instructor_url": "/instructors/MUHONG_GAO" }, { "instructor_uid": "instructor_75bb4c5cf73844ad7423ba18", "source": "madgrades", "source_instructor_id": "6325034", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EMMA HOLMES", "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": 3.413, "graded": 63, "counts": [ 31, 14, 8, 2, 6, 1, 1 ], "sections": 2 }, "instructor_url": "/instructors/EMMA_HOLMES" }, { "instructor_uid": "instructor_3ec25096edd42f69208142ad", "source": "madgrades", "source_instructor_id": "6449135", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHEXUAN LIU", "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": 3.721, "graded": 356, "counts": [ 208, 113, 24, 6, 5, 0, 0 ], "sections": 8 }, "instructor_url": "/instructors/ZHEXUAN_LIU--instructor_3ec25096edd42f69208142ad" }, { "instructor_uid": "instructor_35cdc9a59189221c59a180da", "source": "madgrades", "source_instructor_id": "6237349", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIALUO 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": 3.248, "graded": 268, "counts": [ 92, 65, 51, 32, 15, 12, 1 ], "sections": 5 }, "instructor_url": "/instructors/JIALUO_LI--instructor_35cdc9a59189221c59a180da" }, { "instructor_uid": "instructor_693507caf47fe17e4df269d0", "source": "enrollment", "source_instructor_id": "jli2249", "identity_basis": "netid", "identity_status": "source_identified", "name": "Jialuo Li", "email": "JLI2249@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/JIALUO_LI" }, { "instructor_uid": "instructor_a5cfff7fd6e7d307b48caad1", "source": "enrollment", "source_instructor_id": "bean3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Derek Bean", "email": "DEREKB@STAT.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": 14, "quality": 3.57, "difficulty": 3.43, "quality_count": 14, "difficulty_count": 14, "profile_id": "rmp:2158238", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:51.253119+00:00", "courses": { "course_bf80347054c4234ada79c07e": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_096be5272e913d9005e3298b": { "review_count": 5, "quality": 3, "difficulty": 3.6, "quality_count": 5, "difficulty_count": 5 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_24942ca6acb3a153de2907d5": { "review_count": 3, "quality": 3.67, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 2, "quality": 3.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.622756343262703, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/DEREK_BEAN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "Wei-Yin Loh" ], "a": 4, "ab": 5, "b": 3, "bc": 3, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "Wei-Yin Loh" ], "a": 7, "ab": 7, "b": 5, "bc": 0, "c": 1, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Wei-Yin Loh" ], "a": 10, "ab": 10, "b": 3, "bc": 4, "c": 0, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Wei-Yin Loh" ], "a": 11, "ab": 12, "b": 2, "bc": 0, "c": 7, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "SIJIAN WANG" ], "a": 16, "ab": 10, "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": 28, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Wei-Yin Loh" ], "a": 13, "ab": 14, "b": 7, "bc": 3, "c": 3, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "KAM-WAH TSUI" ], "a": 15, "ab": 5, "b": 7, "bc": 6, "c": 3, "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": 36, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "KAM-WAH TSUI" ], "a": 18, "ab": 6, "b": 4, "bc": 7, "c": 2, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "LUXI CAO", "Wei-Yin Loh" ], "a": 19, "ab": 20, "b": 10, "bc": 4, "c": 6, "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": 59, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "BEHZAD AALIPUR HAFSHEJANI", "Derek Bean", "MICHAEL MCCANTS" ], "a": 23, "ab": 11, "b": 12, "bc": 7, "c": 7, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Derek Bean", "NICHOLAS STEPHEN KEULER", "Qunying Huang" ], "a": 14, "ab": 15, "b": 9, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Derek Bean", "GINA OH" ], "a": 51, "ab": 3, "b": 4, "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": 58, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Derek Bean", "MUHONG GAO" ], "a": 26, "ab": 13, "b": 8, "bc": 6, "c": 5, "d": 2, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Derek Bean", "EMMA HOLMES" ], "a": 31, "ab": 14, "b": 8, "bc": 2, "c": 6, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 63, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Derek Bean", "Zhexuan Liu" ], "a": 26, "ab": 43, "b": 5, "bc": 5, "c": 3, "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": 82, "source_aliases": [ "STAT 421" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 421", "course_uid": "course_096be5272e913d9005e3298b", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Derek Bean", "Jialuo Li" ], "a": 17, "ab": 26, "b": 19, "bc": 9, "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": 73, "source_aliases": [ "STAT 421" ] } ] ``` ### statistics #### gpa 3.391 #### graded 744 #### counts * 301 * 214 * 108 * 58 * 44 * 13 * 6 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_096be5272e913d9005e3298b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_096be5272e913d9005e3298b-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_096be5272e913d9005e3298b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_096be5272e913d9005e3298b-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_096be5272e913d9005e3298b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_096be5272e913d9005e3298b-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_096be5272e913d9005e3298b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_096be5272e913d9005e3298b-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_096be5272e913d9005e3298b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_096be5272e913d9005e3298b-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3911290322580645 #### count 744 #### university ##### size 4162 ##### gpa Percentile 18 ##### count Percentile 85 ##### median Count 155 ##### 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 | 10 | false | | 2.8–3.2 | 310 | false | | 3.2–3.6 | 1177 | true | | 3.6–4.0 | 2664 | false | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 66, "gpaPercentile": 23, "countPercentile": 75, "medianCount": 243, "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": 23, "current": true }, { "range": "3.6–4.0", "count": 34, "current": false } ] } } ] ``` ### terms #### 1082 ##### term 1082 ##### gpa 3.125 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1092 ##### term 1092 ##### gpa 3.357142857142857 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1112 ##### term 1112 ##### gpa 3.2 ##### count 30 ##### university ###### size 805 ###### gpa Percentile 33 ###### count Percentile 0 ###### 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 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 46, "countPercentile": 0, "medianCount": 68.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.1142857142857143 ##### count 35 ##### university ###### size 851 ###### gpa Percentile 25 ###### count Percentile 9 ###### 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 | 40 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 7, "medianCount": 72, "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": 6, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.75 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1152 ##### term 1152 ##### gpa 3.2738095238095237 ##### count 42 ##### university ###### size 918 ###### gpa Percentile 36 ###### count Percentile 23 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 53, "countPercentile": 16, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.3194444444444446 ##### count 36 ##### university ###### size 954 ###### gpa Percentile 37 ###### count Percentile 12 ###### median Count 64.5 ###### 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 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 43, "countPercentile": 22, "medianCount": 50.5, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.418918918918919 ##### count 37 ##### university ###### size 991 ###### gpa Percentile 45 ###### count Percentile 15 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 50, "countPercentile": 4, "medianCount": 56, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.3559322033898304 ##### count 59 ##### university ###### size 1025 ###### gpa Percentile 36 ###### count Percentile 41 ###### 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 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 48, "countPercentile": 30, "medianCount": 65.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.2096774193548385 ##### count 62 ##### university ###### size 1077 ###### gpa Percentile 22 ###### count Percentile 46 ###### 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 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 27, "countPercentile": 38, "medianCount": 74, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.5125 ##### count 40 ##### university ###### size 1102 ###### gpa Percentile 47 ###### count Percentile 21 ###### 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 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 62, "countPercentile": 3, "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": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.9051724137931036 ##### count 58 ##### university ###### size 1012 ###### gpa Percentile 75 ###### count Percentile 45 ###### median Count 65.5 ###### 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 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 88, "countPercentile": 54, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.2338709677419355 ##### count 62 ##### university ###### size 1157 ###### gpa Percentile 19 ###### count Percentile 48 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 32, "countPercentile": 55, "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": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.4126984126984126 ##### count 63 ##### university ###### size 1216 ###### gpa Percentile 29 ###### count Percentile 48 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 45, "countPercentile": 55, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.5121951219512195 ##### count 82 ##### university ###### size 1333 ###### gpa Percentile 33 ###### count Percentile 57 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 55, "countPercentile": 58, "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": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.308219178082192 ##### count 73 ##### university ###### size 1320 ###### gpa Percentile 16 ###### count Percentile 51 ###### median Count 70 ###### 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 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 39, "countPercentile": 39, "medianCount": 81, "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": 12, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4162 ###### gpa 3.6598493788210695 ###### top Share 81.8665127838521 ###### count 155 ##### STAT ###### size 66 ###### gpa 3.578297037842856 ###### top Share 77.23122566860779 ###### count 243 #### terms ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### STAT ###### size 10 ###### gpa 3.181469252605204 ###### top Share 50.79697144214053 ###### count 66.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### STAT ###### size 11 ###### gpa 3.2851296989222463 ###### top Share 61.121424545066226 ###### count 65 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### STAT ###### size 14 ###### gpa 3.242406375705586 ###### top Share 57.34276482904032 ###### count 68.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### STAT ###### size 16 ###### gpa 3.261044965144187 ###### top Share 59.360682472524054 ###### count 72 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### STAT ###### size 16 ###### gpa 3.240435267681857 ###### top Share 58.10171174479488 ###### count 44.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### STAT ###### size 20 ###### gpa 3.247281119355238 ###### top Share 58.400370581589016 ###### count 55 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### STAT ###### size 24 ###### gpa 3.394300783591793 ###### top Share 65.51183483352922 ###### count 50.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### STAT ###### size 25 ###### gpa 3.3324928117291264 ###### top Share 61.945618937548005 ###### count 56 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### STAT ###### size 24 ###### gpa 3.4023821420534044 ###### top Share 65.90044412864664 ###### count 65.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### STAT ###### size 27 ###### gpa 3.349790708103796 ###### top Share 62.94637491184082 ###### count 74 ##### 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 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### STAT ###### size 27 ###### gpa 3.6537351147420534 ###### top Share 80.87794592686507 ###### count 56 ##### 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 ##### 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 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_776a80367ac941071d85ded3", "name": "DEREK BEAN", "count": 440, "terms": [ { "term": "1192", "count": 62, "sections": 1, "gpa": 3.2096774193548385 }, { "term": "1202", "count": 40, "sections": 1, "gpa": 3.5125 }, { "term": "1204", "count": 58, "sections": 2, "gpa": 3.9051724137931036 }, { "term": "1222", "count": 62, "sections": 1, "gpa": 3.2338709677419355 }, { "term": "1232", "count": 63, "sections": 2, "gpa": 3.4126984126984126 }, { "term": "1252", "count": 82, "sections": 2, "gpa": 3.5121951219512195 }, { "term": "1262", "count": 73, "sections": 2, "gpa": 3.308219178082192 } ] }, { "uid": "instructor_20bff09bd8c7abcebab15a2f", "name": "WEI-YIN LOH", "count": 203, "terms": [ { "term": "1082", "count": 16, "sections": 1, "gpa": 3.125 }, { "term": "1092", "count": 21, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1112", "count": 30, "sections": 1, "gpa": 3.2 }, { "term": "1132", "count": 35, "sections": 1, "gpa": 3.1142857142857143 }, { "term": "1152", "count": 42, "sections": 1, "gpa": 3.2738095238095237 }, { "term": "1182", "count": 59, "sections": 1, "gpa": 3.3559322033898304 } ] }, { "uid": "instructor_3ec25096edd42f69208142ad", "name": "ZHEXUAN LIU", "count": 82, "terms": [ { "term": "1252", "count": 82, "sections": 2, "gpa": 3.5121951219512195 } ] }, { "uid": "instructor_35cdc9a59189221c59a180da", "name": "JIALUO LI", "count": 73, "terms": [ { "term": "1262", "count": 73, "sections": 2, "gpa": 3.308219178082192 } ] }, { "uid": "instructor_ac372d2f1d2072f2e887ce2a", "name": "KAM-WAH TSUI", "count": 73, "terms": [ { "term": "1162", "count": 36, "sections": 1, "gpa": 3.3194444444444446 }, { "term": "1172", "count": 37, "sections": 1, "gpa": 3.418918918918919 } ] }, { "uid": "instructor_75bb4c5cf73844ad7423ba18", "name": "EMMA HOLMES", "count": 63, "terms": [ { "term": "1232", "count": 63, "sections": 2, "gpa": 3.4126984126984126 } ] }, { "uid": "instructor_1171fccc74b380bbeb85801e", "name": "MICHAEL MCCANTS", "count": 62, "terms": [ { "term": "1192", "count": 62, "sections": 1, "gpa": 3.2096774193548385 } ] }, { "uid": "instructor_1172e88b5ae6ba42f3343950", "name": "BEHZAD AALIPUR HAFSHEJANI", "count": 62, "terms": [ { "term": "1192", "count": 62, "sections": 1, "gpa": 3.2096774193548385 } ] }, { "uid": "instructor_1dac8b32aaa979b27c9dc913", "name": "MUHONG GAO", "count": 62, "terms": [ { "term": "1222", "count": 62, "sections": 1, "gpa": 3.2338709677419355 } ] }, { "uid": "instructor_7f2228b1cd7c414b33b7748a", "name": "LUXI CAO", "count": 59, "terms": [ { "term": "1182", "count": 59, "sections": 1, "gpa": 3.3559322033898304 } ] }, { "uid": "instructor_f9db28276a3caf5ccad82c2a", "name": "GINA OH", "count": 58, "terms": [ { "term": "1204", "count": 58, "sections": 2, "gpa": 3.9051724137931036 } ] }, { "uid": "instructor_2046459e5630973d60ed2b15", "name": "NICHOLAS STEPHEN KEULER", "count": 40, "terms": [ { "term": "1202", "count": 40, "sections": 1, "gpa": 3.5125 } ] }, { "uid": "instructor_4f250f5861deaededb2c6c05", "name": "KUNLING HUANG", "count": 40, "terms": [ { "term": "1202", "count": 40, "sections": 1, "gpa": 3.5125 } ] }, { "uid": "instructor_dbc68f59fd104024822f7fb7", "name": "SIJIAN WANG", "count": 28, "terms": [ { "term": "1142", "count": 28, "sections": 1, "gpa": 3.75 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.3732534536768366 ### grades | grade | percentage | | ----- | ------------------ | | A | 34.42295261700958 | | AB | 34.730814350118386 | | B | 15.460325806452957 | | BC | 8.19559642452538 | | C | 4.919025282958646 | | D | 1.3676656276414134 | | F | 0.9036198912936391 | ### source Terms * 1262 * 1252 * 1232 * 1222 ### source Count 280 ### same Season true ### historical Range * 3.233870967741935 * 3.5121951219512195 ### backtest #### terms 3 #### gpa Error 0.12979708048560834 #### mix Error 19.62672073305167