# STAT 461: Financial Statistics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_461) ## 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 658b91df23098ca5ff26220e1c1825cef85ece6a6baa4b91be7be5a8e5dfdcec ### course id STAT 461 ### course uid course\_c3af14b05ef6845e7d2ecd4d ### catalog version id 70d323b7f1380655cc403a938c88393970750ed9296fd5ebc651636dbaabe51c ### course number 461 ### subjects * STAT ### title FINANCIAL STATISTICS ### description Today's cutting-edge quantitative trading strategies are based on complex stochastic models of financial data. Specialized statistical techniques are needed to analyze them. Study the advanced statistical methodologies now widely employed in modern finance. Topics include: discrete models such as binomial trees and GARCH; continuous models such as the Black-Scholes model; and stochastic volatility models. Emphasis will be on data analysis and statistical inference in these models, with applications to risk management. Learn about the models real quantitative traders use in their work. ### requirements text (STAT 333,340, orECON 410) and (MATH/​STAT  309,STAT 311,MATH 331,MATH/​STAT  431, orMATH 531), graduate/professional standing, or declared in Statistics VISP ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:024336 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 19960af9b2002f5c4757d372528b7f99ec58597dfcc03bbc824f0961bb234c54 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 461 teaches advanced statistical methodologies for modern finance, including discrete and continuous stochastic models. ### llm topics * Discrete models (binomial trees, GARCH) * Continuous models (Black-Scholes) * Stochastic volatility models ### llm skills * Data analysis and statistical inference in financial models. * Application of quantitative trading models. ### llm assumed background * Linear regression, probability theory, statistical inference, and R programming. * Advanced probability distributions, expectation, variance, and the central limit theorem. ### llm search phrases * quantitative trading stochastic models * financial statistics GARCH Black-Scholes * risk management statistical inference * discrete continuous financial models ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash fa1f3ea0e401da4b3deee1060a60d1aacc85418ac417416c3e3288a661b01f93 #### course id STAT 461 #### current instructors ```json [ { "instructor_uid": "instructor_549402aaa3fc02311c4c262e", "message": "No course-specific reviews available", "name": "Bo Yang", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2107418", "summary": [ { "citations": [ { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.57 GPA, 78.9% A/AB (n=38 letter grades); Fall 2024: 3.73 GPA, 79.2% A/AB (n=24 letter grades); Fall 2025: 3.63 GPA, 74.5% A/AB (n=47 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_9f6a0eeaa52af516b424de75", "message": "No course-specific reviews available", "name": "Yuheng Lai", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Yazhen Wang: Reviewers found homeworks difficult and exams tricky, noting that the lack of a textbook and study aids made preparation challenging. ```json { "citations": [ { "instructor_name": "Yazhen Wang", "review_date": "2019-10-23 19:45:14 +0000 UTC", "review_id": "8fad0bc67d25f2fe5156dd5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTMyMzEyNTIx", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" }, { "instructor_name": "Yazhen Wang", "review_date": "2019-11-10 17:20:43 +0000 UTC", "review_id": "30a20ab8d74829e774496970", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTMyMzg4NzUy", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Yazhen Wang describe him as disorganized and difficult to follow, with no textbook or study materials provided. Reviewers found his lectures confusing and his homework extremely difficult, advising students to avoid the course under his instruction. ```json { "citations": [ { "instructor_name": "Yazhen Wang", "review_date": "2019-10-23 19:45:14 +0000 UTC", "review_id": "8fad0bc67d25f2fe5156dd5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTMyMzEyNTIx", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" }, { "instructor_name": "Yazhen Wang", "review_date": "2019-11-10 17:20:43 +0000 UTC", "review_id": "30a20ab8d74829e774496970", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTMyMzg4NzUy", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" } ] } ``` #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews for Yazhen Wang describe the course as disorganized and difficult, with unclear lectures and a lack of study materials. ```json { "citations": [ { "instructor_name": "Yazhen Wang", "review_date": "2019-10-23 19:45:14 +0000 UTC", "review_id": "8fad0bc67d25f2fe5156dd5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTMyMzEyNTIx", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" }, { "instructor_name": "Yazhen Wang", "review_date": "2019-11-10 17:20:43 +0000 UTC", "review_id": "30a20ab8d74829e774496970", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTMyMzg4NzUy", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.57 GPA, 78.9% A/AB (n=38 letter grades); Fall 2024: 3.73 GPA, 79.2% A/AB (n=24 letter grades); Fall 2025: 3.63 GPA, 74.5% A/AB (n=47 letter grades). ```json { "citations": [ { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Yazhen Wang: Students reported that lectures were impossible to follow and that the required R proficiency exceeded the support provided in class. ```json { "citations": [ { "instructor_name": "Yazhen Wang", "review_date": "2019-10-23 19:45:14 +0000 UTC", "review_id": "8fad0bc67d25f2fe5156dd5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTMyMzEyNTIx", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" }, { "instructor_name": "Yazhen Wang", "review_date": "2019-11-10 17:20:43 +0000 UTC", "review_id": "30a20ab8d74829e774496970", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTMyMzg4NzUy", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history BO YANG is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` YAZHEN WANG is recorded teaching in Fall 2019, Fall 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "STAT 461", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "source_record": { "entity_id": "d0dd5a77-042d-3a96-868b-5d716c7b81e9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "(STAT 333,340, orECON 410) and (MATH/STAT 309,STAT 311,MATH 331,MATH/STAT 431, orMATH 531), graduate/professional standing, or declared in Statistics VISP", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "(STAT 333,340, orECON 410) and (MATH/STAT 309,STAT 311,MATH 331,MATH/STAT 431, orMATH 531)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [], "condition": "declared in Statistics VISP", "course": null, "evidence": "declared in Statistics VISP", "id": "n3", "kind": "condition" }, { "children": [ "n6", "n7", "n8" ], "condition": null, "course": null, "evidence": "(STAT 333,340, orECON 410)", "id": "n4", "kind": "any" }, { "children": [ "n9", "n10", "n11", "n12", "n13" ], "condition": null, "course": null, "evidence": "(MATH/STAT 309,STAT 311,MATH 331,MATH/STAT 431, orMATH 531)", "id": "n5", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 333, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 333", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "340", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 410, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 410", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 309, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "MATH/STAT 309", "id": "n9", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 311, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 311", "id": "n10", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 331, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 331", "id": "n11", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 431, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "MATH/STAT 431", "id": "n12", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 531, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 531", "id": "n13", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_549402aaa3fc02311c4c262e", "source": "enrollment", "source_instructor_id": "byang76", "identity_basis": "netid", "identity_status": "source_identified", "name": "Bo Yang", "email": "BYANG76@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": 56, "quality": 1.68, "difficulty": 3.7, "quality_count": 56, "difficulty_count": 56, "profile_id": "rmp:2107418", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:41.195101+00:00", "courses": { "course_9d705456a9a3f278c1b60cc6": { "review_count": 20, "quality": 1.65, "difficulty": 3.7, "quality_count": 20, "difficulty_count": 20 }, "course_e593b86c370a0c671af794df": { "review_count": 16, "quality": 2.12, "difficulty": 3.88, "quality_count": 16, "difficulty_count": 16 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 8, "quality": 1.75, "difficulty": 3.62, "quality_count": 8, "difficulty_count": 8 }, "course_2364ea4d92955fbad9988956": { "review_count": 2, "quality": 1, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_24942ca6acb3a153de2907d5": { "review_count": 2, "quality": 1, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_06abb97e9793bf858754daa3": { "review_count": 1, "quality": 2, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 2.2009699430385776, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BO_YANG" }, { "instructor_uid": "instructor_9f6a0eeaa52af516b424de75", "source": "enrollment", "source_instructor_id": "ylai58", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yuheng Lai", "email": "YUHENG.LAI@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/YUHENG_LAI" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:024336", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1272", "source_course_id": "024336", "source_subject_id": "932", "title": "Financial Statistics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27475", "term_id": "1272", "source_section_id": "27475", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 62, "enrolled": 36, "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:1272:27476", "term_id": "1272", "source_section_id": "27476", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 10, "enrolled": 5, "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_f9a1cfacff5c60254629ae51", "source": "madgrades", "source_instructor_id": "4430246", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XINYU SONG", "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": 3.506, "graded": 170, "counts": [ 83, 37, 32, 9, 8, 0, 1 ], "sections": 4 }, "instructor_url": "/instructors/XINYU_SONG--instructor_f9a1cfacff5c60254629ae51" }, { "instructor_uid": "instructor_40c7f5b22c90e431d9d2a39a", "source": "madgrades", "source_instructor_id": "5515201", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHANG 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", "grade_statistics": { "gpa": 3.317, "graded": 41, "counts": [ 15, 8, 12, 4, 1, 0, 1 ], "sections": 1 }, "instructor_url": "/instructors/SHANG_WU" }, { "instructor_uid": "instructor_028f5fb1497f12d2f925d786", "source": "madgrades", "source_instructor_id": "4695492", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YAZHEN 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", "ratings": { "review_count": 10, "quality": 2.9, "difficulty": 3, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:1357778", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:01.601642+00:00", "courses": { "course_c3af14b05ef6845e7d2ecd4d": { "review_count": 2, "quality": 1, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_3aa77a7c307c944aec9fad7e": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_1282dc8dbc1e7c5749f7cc41": { "review_count": 1, "quality": 2, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_2a00c702ff402614a950606e": { "review_count": 3, "quality": 3.67, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 2, "quality": 2, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.4064571890310638, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.148, "graded": 908, "counts": [ 357, 96, 250, 18, 119, 61, 7 ], "sections": 64 }, "instructor_url": "/instructors/YAZHEN_WANG--instructor_028f5fb1497f12d2f925d786" }, { "instructor_uid": "instructor_484485ffacdd76ad4a2aa0e7", "source": "madgrades", "source_instructor_id": "4641200", "identity_basis": "source_id", "identity_status": "source_identified", "name": "VICTOR LUO", "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": 2.856, "graded": 215, "counts": [ 48, 24, 67, 20, 40, 7, 9 ], "sections": 4 }, "instructor_url": "/instructors/VICTOR_LUO--instructor_484485ffacdd76ad4a2aa0e7" }, { "instructor_uid": "instructor_3063cec3983a2b157977d681", "source": "madgrades", "source_instructor_id": "6452597", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL HARDING", "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": 3.422, "graded": 198, "counts": [ 94, 32, 41, 17, 11, 2, 1 ], "sections": 7 }, "instructor_url": "/instructors/MICHAEL_HARDING--instructor_3063cec3983a2b157977d681" }, { "instructor_uid": "instructor_a10182c6e5241212aadf03e5", "source": "madgrades", "source_instructor_id": "5632570", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BO YANG", "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": 56, "quality": 1.68, "difficulty": 3.7, "quality_count": 56, "difficulty_count": 56, "profile_id": "rmp:2107418", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:41.195101+00:00", "courses": { "course_9d705456a9a3f278c1b60cc6": { "review_count": 20, "quality": 1.65, "difficulty": 3.7, "quality_count": 20, "difficulty_count": 20 }, "course_e593b86c370a0c671af794df": { "review_count": 16, "quality": 2.12, "difficulty": 3.88, "quality_count": 16, "difficulty_count": 16 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 8, "quality": 1.75, "difficulty": 3.62, "quality_count": 8, "difficulty_count": 8 }, "course_2364ea4d92955fbad9988956": { "review_count": 2, "quality": 1, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_24942ca6acb3a153de2907d5": { "review_count": 2, "quality": 1, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_06abb97e9793bf858754daa3": { "review_count": 1, "quality": 2, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 2.2009699430385776, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.562, "graded": 3724, "counts": [ 2315, 424, 535, 205, 186, 31, 28 ], "sections": 141 }, "instructor_url": "/instructors/BO_YANG--instructor_a10182c6e5241212aadf03e5" }, { "instructor_uid": "instructor_a59c61b3722745796d3a19b6", "source": "madgrades", "source_instructor_id": "6450284", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEJANDRO CALLE-SALDARRIAGA", "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": 3.406, "graded": 219, "counts": [ 109, 25, 46, 19, 18, 1, 1 ], "sections": 7 }, "instructor_url": "/instructors/ALEJANDRO_CALLE-SALDARRIAGA--instructor_a59c61b3722745796d3a19b6" }, { "instructor_uid": "instructor_549402aaa3fc02311c4c262e", "source": "enrollment", "source_instructor_id": "byang76", "identity_basis": "netid", "identity_status": "source_identified", "name": "Bo Yang", "email": "BYANG76@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": 56, "quality": 1.68, "difficulty": 3.7, "quality_count": 56, "difficulty_count": 56, "profile_id": "rmp:2107418", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:41.195101+00:00", "courses": { "course_9d705456a9a3f278c1b60cc6": { "review_count": 20, "quality": 1.65, "difficulty": 3.7, "quality_count": 20, "difficulty_count": 20 }, "course_e593b86c370a0c671af794df": { "review_count": 16, "quality": 2.12, "difficulty": 3.88, "quality_count": 16, "difficulty_count": 16 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 8, "quality": 1.75, "difficulty": 3.62, "quality_count": 8, "difficulty_count": 8 }, "course_2364ea4d92955fbad9988956": { "review_count": 2, "quality": 1, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_24942ca6acb3a153de2907d5": { "review_count": 2, "quality": 1, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_06abb97e9793bf858754daa3": { "review_count": 1, "quality": 2, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 2.2009699430385776, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BO_YANG" }, { "instructor_uid": "instructor_9f6a0eeaa52af516b424de75", "source": "enrollment", "source_instructor_id": "ylai58", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yuheng Lai", "email": "YUHENG.LAI@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/YUHENG_LAI" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "XINYU SONG" ], "a": 14, "ab": 10, "b": 4, "bc": 4, "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": 32, "source_aliases": [ "STAT 461" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "XINYU SONG" ], "a": 18, "ab": 12, "b": 6, "bc": 0, "c": 2, "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": 38, "source_aliases": [ "STAT 461" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "SHANG WU", "XINYU SONG" ], "a": 15, "ab": 8, "b": 12, "bc": 4, "c": 1, "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": 41, "source_aliases": [ "STAT 461" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "VICTOR LUO", "Yazhen Wang" ], "a": 14, "ab": 3, "b": 17, "bc": 2, "c": 7, "d": 0, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "STAT 461" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "VICTOR LUO", "Yazhen Wang" ], "a": 4, "ab": 3, "b": 11, "bc": 2, "c": 7, "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": 27, "source_aliases": [ "STAT 461" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Bo Yang", "Michael Harding" ], "a": 25, "ab": 5, "b": 2, "bc": 4, "c": 1, "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": 38, "source_aliases": [ "STAT 461" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Bo Yang", "Michael Harding" ], "a": 17, "ab": 2, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "STAT 461" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 461", "course_uid": "course_c3af14b05ef6845e7d2ecd4d", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ALEJANDRO CALLE-SALDARRIAGA", "Bo Yang" ], "a": 28, "ab": 7, "b": 8, "bc": 4, "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": 47, "source_aliases": [ "STAT 461" ] } ] ``` ### statistics #### gpa 3.398 #### graded 293 #### counts * 135 * 50 * 64 * 21 * 18 * 0 * 5 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c3af14b05ef6845e7d2ecd4d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c3af14b05ef6845e7d2ecd4d-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c3af14b05ef6845e7d2ecd4d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c3af14b05ef6845e7d2ecd4d-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_c3af14b05ef6845e7d2ecd4d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_c3af14b05ef6845e7d2ecd4d-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_c3af14b05ef6845e7d2ecd4d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_c3af14b05ef6845e7d2ecd4d-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c3af14b05ef6845e7d2ecd4d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c3af14b05ef6845e7d2ecd4d-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3976109215017063 #### count 293 #### university ##### size 3391 ##### gpa Percentile 18 ##### count Percentile 72 ##### median Count 129 ##### 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 | 5 | false | | 2.8–3.2 | 252 | false | | 3.2–3.6 | 933 | true | | 3.6–4.0 | 2201 | false | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 58, "gpaPercentile": 26, "countPercentile": 56, "medianCount": 232, "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": 24, "current": true }, { "range": "3.6–4.0", "count": 24, "current": false } ] } } ] ``` ### terms #### 1162 ##### term 1162 ##### gpa 3.53125 ##### count 32 ##### university ###### size 954 ###### gpa Percentile 57 ###### count Percentile 5 ###### 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": 70, "countPercentile": 4, "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 3.5789473684210527 ##### count 38 ##### university ###### size 991 ###### gpa Percentile 59 ###### count Percentile 17 ###### 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": 83, "countPercentile": 13, "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 3.317073170731707 ##### count 41 ##### university ###### size 1025 ###### gpa Percentile 33 ###### count Percentile 19 ###### 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": 43, "countPercentile": 4, "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 } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 2.967391304347826 ##### count 46 ##### university ###### size 1102 ###### gpa Percentile 6 ###### count Percentile 30 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 10, "countPercentile": 10, "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": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 2.9074074074074074 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1242 ##### term 1242 ##### gpa 3.5657894736842106 ##### count 38 ##### university ###### size 1295 ###### gpa Percentile 40 ###### count Percentile 19 ###### 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 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 61, "countPercentile": 18, "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": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.7291666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1262 ##### term 1262 ##### gpa 3.627659574468085 ##### count 47 ##### university ###### size 1320 ###### gpa Percentile 42 ###### count Percentile 29 ###### 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 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 79, "countPercentile": 14, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3391 ###### gpa 3.6668911661476264 ###### top Share 82.32862955285547 ###### count 129 ##### STAT ###### size 58 ###### gpa 3.545442229299735 ###### top Share 75.65886177957869 ###### count 232 #### terms ##### 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 ##### 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 ##### 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 ##### 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_f9a1cfacff5c60254629ae51", "name": "XINYU SONG", "count": 111, "terms": [ { "term": "1162", "count": 32, "sections": 1, "gpa": 3.53125 }, { "term": "1172", "count": 38, "sections": 1, "gpa": 3.5789473684210527 }, { "term": "1182", "count": 41, "sections": 1, "gpa": 3.317073170731707 } ] }, { "uid": "instructor_a10182c6e5241212aadf03e5", "name": "BO YANG", "count": 109, "terms": [ { "term": "1242", "count": 38, "sections": 2, "gpa": 3.5657894736842106 }, { "term": "1252", "count": 24, "sections": 2, "gpa": 3.7291666666666665 }, { "term": "1262", "count": 47, "sections": 2, "gpa": 3.627659574468085 } ] }, { "uid": "instructor_028f5fb1497f12d2f925d786", "name": "YAZHEN WANG", "count": 73, "terms": [ { "term": "1202", "count": 46, "sections": 1, "gpa": 2.967391304347826 }, { "term": "1212", "count": 27, "sections": 2, "gpa": 2.9074074074074074 } ] }, { "uid": "instructor_484485ffacdd76ad4a2aa0e7", "name": "VICTOR LUO", "count": 73, "terms": [ { "term": "1202", "count": 46, "sections": 1, "gpa": 2.967391304347826 }, { "term": "1212", "count": 27, "sections": 2, "gpa": 2.9074074074074074 } ] }, { "uid": "instructor_3063cec3983a2b157977d681", "name": "MICHAEL HARDING", "count": 62, "terms": [ { "term": "1242", "count": 38, "sections": 2, "gpa": 3.5657894736842106 }, { "term": "1252", "count": 24, "sections": 2, "gpa": 3.7291666666666665 } ] }, { "uid": "instructor_a59c61b3722745796d3a19b6", "name": "ALEJANDRO CALLE-SALDARRIAGA", "count": 47, "terms": [ { "term": "1262", "count": 47, "sections": 2, "gpa": 3.627659574468085 } ] }, { "uid": "instructor_40c7f5b22c90e431d9d2a39a", "name": "SHANG WU", "count": 41, "terms": [ { "term": "1182", "count": 41, "sections": 1, "gpa": 3.317073170731707 } ] } ] ``` ## following None recorded.