# STAT 451: Introduction to Machine Learning and Statistical Pattern Classification | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_451) ## 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 8fcc5cf4525aa2e123d3dec5eacb6cec6481f3e1b1998a1ebabdfc3fe5ec1f08 ### course id STAT 451 ### course uid course\_64851c516bf8195a88f81cc4 ### catalog version id 4fcda7eff9738ff00d4408720a742a965db7633a0af0fcacb99910982efb6899 ### course number 451 ### subjects * STAT ### title INTRODUCTION TO MACHINE LEARNING AND STATISTICAL PATTERN CLASSIFICATION ### description Pattern classification, regression analysis, clustering, and dimensionality reduction. For each category, covers fundamental algorithms and selections of contemporary, current state-of-the-art algorithms. Focus on evaluation of machine learning models using statistical methods. Statistical pattern classification approaches, including maximum likelihood estimation and Bayesian decision theory, algorithmic and nonparametric approaches. Practical use of machine learning algorithms using open source libraries from the Python programming ecosystem. ### requirements text MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:025602 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 726a29e0b92f471b064997ee9153faaf8369e2e90cdfaab837c6e8bc734a120d ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers pattern classification, regression, clustering, and dimensionality reduction with a focus on statistical evaluation and Python implementation. ### llm topics * Pattern classification, regression, clustering, and dimensionality reduction. * Maximum likelihood estimation, Bayesian decision theory, algorithmic and nonparametric approaches. * Evaluation of machine learning models using statistical methods. ### llm skills * Evaluating machine learning models using statistical methods. * Applying statistical pattern classification, maximum likelihood estimation, and Bayesian decision theory. * Implementing machine learning algorithms using Python open-source libraries. ### llm assumed background * Linear algebra, differential equations, vector calculus, and proof-based mathematics. * Optimization theory and Python programming. ### llm search phrases * machine learning statistical methods * pattern classification algorithms * regression clustering dimensionality reduction * Bayesian decision theory maximum likelihood * Python machine learning libraries ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 942ea18d6101a73e6c0922aaf78e948c9b0cea4356e40319447ad38d9facdfc6 #### course id STAT 451 #### current instructors ```json [ { "instructor_uid": "instructor_f801c3750827ebe545eade70", "message": "No course-specific reviews available", "name": "Xiao Luo", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:5069923", "summary": [] }, { "instructor_uid": "instructor_c03479edc771bff160872cf2", "message": "No course-specific reviews available", "name": "Yaling Hong", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of John Gillett, Sebastian Raschka: Workload is generally manageable with recorded lectures, though Gillett's exams can be difficult and require careful review, while one review cites unorganized materials and confusing group policies. ```json { "citations": [ { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-19 22:01:17 +0000 UTC", "review_id": "918ae60f9e3a376ecc19bb69", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NTk5NjI4", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2022-01-11 16:35:07 +0000 UTC", "review_id": "c8607f42b6c521f875eef686", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NzM1NTE1", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2024-01-09 00:50:57 +0000 UTC", "review_id": "2067b28e2e0f397b8ae371c0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTM4ODUxOTA5", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2025-08-28 11:18:54 +0000 UTC", "review_id": "d122e351c4b6f52baf8e58a9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQxNjA3MzY1", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2026-04-15 21:56:11 +0000 UTC", "review_id": "cb48861f905331661556ad00", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQyODQ2Mzc0", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Sebastian Raschka describe him as an inspiring, patient, and responsive instructor who made course materials and projects engaging. Students noted his flexibility and clear communication, which motivated them to pursue further studies in machine learning. ```json { "citations": [ { "instructor_name": "Sebastian Raschka", "review_date": "2020-12-29 19:00:31 +0000 UTC", "review_id": "0c6a3b8af24df04f5b71e778", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM0MjEzMTMz", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-11-18 18:36:02 +0000 UTC", "review_id": "0b8164b41fd6eb923655457b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1MjY3NDk1", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-19 22:01:17 +0000 UTC", "review_id": "918ae60f9e3a376ecc19bb69", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NTk5NjI4", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-22 21:17:06 +0000 UTC", "review_id": "74864854840eaa80864bb3ce", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NjM1MzA2", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-23 06:40:01 +0000 UTC", "review_id": "27ef222393493b5e12033645", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NjQwMjc0", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2022-01-11 16:35:07 +0000 UTC", "review_id": "c8607f42b6c521f875eef686", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NzM1NTE1", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" } ] } ``` #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews for Sebastian Raschka and John Gillett describe them as caring, patient, and highly rated instructors who support student learning and professional development. ```json { "citations": [ { "instructor_name": "Sebastian Raschka", "review_date": "2020-12-29 19:00:31 +0000 UTC", "review_id": "0c6a3b8af24df04f5b71e778", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM0MjEzMTMz", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-11-18 18:36:02 +0000 UTC", "review_id": "0b8164b41fd6eb923655457b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1MjY3NDk1", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-19 22:01:17 +0000 UTC", "review_id": "918ae60f9e3a376ecc19bb69", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NTk5NjI4", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-22 21:17:06 +0000 UTC", "review_id": "74864854840eaa80864bb3ce", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NjM1MzA2", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-23 06:40:01 +0000 UTC", "review_id": "27ef222393493b5e12033645", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NjQwMjc0", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2022-01-11 16:35:07 +0000 UTC", "review_id": "c8607f42b6c521f875eef686", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NzM1NTE1", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2022-04-27 17:27:06 +0000 UTC", "review_id": "07661225e8245e06140ae680", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTM2MTcwMjE5", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2024-01-09 00:50:57 +0000 UTC", "review_id": "2067b28e2e0f397b8ae371c0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTM4ODUxOTA5", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2024-12-18 00:23:51 +0000 UTC", "review_id": "9408242f76d6ce5866db6b13", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQwMzUzODE1", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2025-01-26 19:17:20 +0000 UTC", "review_id": "c6552d2064ca627c83546b4a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQwNjA0NTI4", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.49 GPA, 66.2% A/AB (n=80 letter grades); Fall 2025: 3.54 GPA, 72.9% A/AB (n=96 letter grades); Spring 2026: 3.50 GPA, 69.6% A/AB (n=92 letter grades). ```json { "citations": [ { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of John Gillett, Sebastian Raschka: Students value the inspirational content, flexible online options, and generous grading curves, though one reviewer found Gillett's teaching methods unorthodox and his website difficult to navigate. ```json { "citations": [ { "instructor_name": "Sebastian Raschka", "review_date": "2020-12-29 19:00:31 +0000 UTC", "review_id": "0c6a3b8af24df04f5b71e778", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM0MjEzMTMz", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-19 22:01:17 +0000 UTC", "review_id": "918ae60f9e3a376ecc19bb69", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NTk5NjI4", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "Sebastian Raschka", "review_date": "2021-12-23 06:40:01 +0000 UTC", "review_id": "27ef222393493b5e12033645", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2528650", "source_review_id": "UmF0aW5nLTM1NjQwMjc0", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2022-04-27 17:27:06 +0000 UTC", "review_id": "07661225e8245e06140ae680", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTM2MTcwMjE5", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2024-12-18 00:23:51 +0000 UTC", "review_id": "9408242f76d6ce5866db6b13", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQwMzUzODE1", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2025-01-26 19:17:20 +0000 UTC", "review_id": "c6552d2064ca627c83546b4a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQwNjA0NTI4", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2025-08-28 11:18:54 +0000 UTC", "review_id": "d122e351c4b6f52baf8e58a9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQxNjA3MzY1", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" }, { "instructor_name": "John Gillett", "review_date": "2026-04-15 21:56:11 +0000 UTC", "review_id": "cb48861f905331661556ad00", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1567077", "source_review_id": "UmF0aW5nLTQyODQ2Mzc0", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JOHN GILLETT is recorded teaching in Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 451", 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"source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` SEBASTIAN RASCHKA is recorded teaching in Fall 2020, Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 451", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "source_record": { "entity_id": "942946ff-9bfb-32a8-9a3d-d57cf30f0e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5", "n6", "n7", "n8" ], "condition": null, "course": null, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 321, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 341, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 345, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n6", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n7", "kind": "condition" }, { "children": [], "condition": "declared in Statistics VISP", "course": null, "evidence": "MATH 320,321,340,341,345,375, graduate/professional standing, or declared in Statistics VISP", "id": "n8", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ----------- | ------------------ | -------------------------------- | -------------------------------- | ------------------------- | | instructor\_f801c3750827ebe545eade70 | enrollment | xluo275 | netid | source\_identified | Xiao Luo | XIAO.LUO\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/XIAO\_LUO | | instructor\_c03479edc771bff160872cf2 | enrollment | yhong233 | netid | source\_identified | Yaling Hong | YHONG233\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/YALING\_HONG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:025602", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1272", "source_course_id": "025602", "source_subject_id": "932", "title": "Introduction to Machine Learning and Statistical Pattern Classification", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21229", "term_id": "1272", "source_section_id": "21229", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 98, "enrolled": 83, "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:1272:21443", "term_id": "1272", "source_section_id": "21443", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 2, "enrolled": 1, "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_88663f568ebff1b020dbbc51", "source": "madgrades", "source_instructor_id": "6176658", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SEBASTIAN RASCHKA", "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": 7, "quality": 5, "difficulty": 2.86, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2528650", "source_url": "https://www.ratemyprofessors.com/professor/2528650", "match_basis": "exact_name", "observed_at": "2026-09-07 16:06:27.808780+00:00", "courses": { "course_64851c516bf8195a88f81cc4": { "review_count": 6, "quality": 5, "difficulty": 2.83, "quality_count": 6, "difficulty_count": 6 }, "course_1282dc8dbc1e7c5749f7cc41": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.00717465447896, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.702, "graded": 506, "counts": [ 284, 150, 66, 4, 2, 0, 0 ], "sections": 16 }, "instructor_url": "/instructors/SEBASTIAN_RASCHKA--instructor_88663f568ebff1b020dbbc51" }, { "instructor_uid": "instructor_db32a27d5acd033dce683cd2", "source": "madgrades", "source_instructor_id": "5693629", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHONGJIE YU", "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": 3.814, "graded": 183, "counts": [ 135, 28, 20, 0, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/ZHONGJIE_YU--instructor_db32a27d5acd033dce683cd2" }, { "instructor_uid": "instructor_2bbea91035baf8e8cb629ca7", "source": "madgrades", "source_instructor_id": "5886347", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANBO SHEN", "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": 3.576, "graded": 152, "counts": [ 85, 32, 23, 7, 2, 1, 2 ], "sections": 3 }, "instructor_url": "/instructors/YANBO_SHEN--instructor_2bbea91035baf8e8cb629ca7" }, { "instructor_uid": "instructor_ca286d412368f20739163e41", "source": "madgrades", "source_instructor_id": "6166789", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JITIAN ZHAO", "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": 3.644, "graded": 430, "counts": [ 258, 90, 49, 20, 10, 3, 0 ], "sections": 12 }, "instructor_url": "/instructors/JITIAN_ZHAO--instructor_ca286d412368f20739163e41" }, { "instructor_uid": "instructor_c29c695b537eb30977ee94b5", "source": "madgrades", "source_instructor_id": "608997", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN GILLETT", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 67, "quality": 4.39, "difficulty": 2.66, "quality_count": 67, "difficulty_count": 67, "profile_id": "rmp:1567077", "source_url": "https://www.ratemyprofessors.com/professor/1567077", "match_basis": "exact_name", "observed_at": "2026-09-07 16:31:37.860973+00:00", "courses": { "course_64851c516bf8195a88f81cc4": { "review_count": 12, "quality": 4.42, "difficulty": 2.92, "quality_count": 12, "difficulty_count": 12 }, "course_a420e635de610c245d2c3002": { "review_count": 2, "quality": 4, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_bf80347054c4234ada79c07e": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 21, "quality": 4.05, "difficulty": 2.81, "quality_count": 21, "difficulty_count": 21 }, "course_9d705456a9a3f278c1b60cc6": { "review_count": 5, "quality": 4.8, "difficulty": 3, "quality_count": 5, "difficulty_count": 5 }, "course_06abb97e9793bf858754daa3": { "review_count": 6, "quality": 5, "difficulty": 1.83, "quality_count": 6, "difficulty_count": 6 }, "course_1282dc8dbc1e7c5749f7cc41": { "review_count": 3, "quality": 2.33, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.222111674378527, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.298, "graded": 5132, "counts": [ 2175, 857, 1009, 433, 504, 110, 44 ], "sections": 78 }, "instructor_url": "/instructors/JOHN_GILLETT--instructor_c29c695b537eb30977ee94b5" }, { "instructor_uid": "instructor_ebccd50a43f3c8007d148ac1", "source": "madgrades", "source_instructor_id": "6090509", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELINA CHOI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.643, "graded": 210, "counts": [ 143, 29, 15, 9, 10, 4, 0 ], "sections": 7 }, "instructor_url": "/instructors/ELINA_CHOI--instructor_ebccd50a43f3c8007d148ac1" }, { "instructor_uid": "instructor_3dac0f7a61017349571ff5cb", "source": "madgrades", "source_instructor_id": "6487560", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XINGYU TANG", "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": 3.485, "graded": 66, "counts": [ 29, 13, 19, 3, 2, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/XINGYU_TANG" }, { "instructor_uid": "instructor_a70724b05f6c1a0b1c967952", "source": "madgrades", "source_instructor_id": "6288957", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AJINKYA HEMANT KOKANDAKAR", "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": 3.299, "graded": 67, "counts": [ 22, 15, 19, 3, 8, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/AJINKYA_HEMANT_KOKANDAKAR" }, { "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_f4a9d9ab6edeee0e73be3675", "source": "madgrades", "source_instructor_id": "5555318", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RYAN YEE", "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": 3.557, "graded": 245, "counts": [ 121, 59, 45, 16, 3, 0, 1 ], "sections": 6 }, "instructor_url": "/instructors/RYAN_YEE--instructor_f4a9d9ab6edeee0e73be3675" }, { "instructor_uid": "instructor_eeb902c84f921bb8550c1160", "source": "madgrades", "source_instructor_id": "6484577", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BAIHENG CHEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.691, "graded": 217, "counts": [ 133, 45, 29, 9, 1, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/BAIHENG_CHEN--instructor_eeb902c84f921bb8550c1160" }, { "instructor_uid": "instructor_c03479edc771bff160872cf2", "source": "enrollment", "source_instructor_id": "yhong233", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yaling Hong", "email": "YHONG233@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/YALING_HONG" }, { "instructor_uid": "instructor_f801c3750827ebe545eade70", "source": "enrollment", "source_instructor_id": "xluo275", "identity_basis": "netid", "identity_status": "source_identified", "name": "Xiao Luo", "email": "XIAO.LUO@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/XIAO_LUO" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "SEBASTIAN RASCHKA", "ZHONGJIE YU" ], "a": 35, "ab": 14, "b": 9, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 63, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "JITIAN ZHAO", "SEBASTIAN RASCHKA", "YANBO SHEN" ], "a": 111, "ab": 18, "b": 1, "bc": 0, "c": 0, "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": 131, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "JITIAN ZHAO", "John Gillett" ], "a": 66, "ab": 15, "b": 5, "bc": 2, "c": 3, "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": 93, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ELINA CHOI", "JITIAN ZHAO", "John Gillett" ], "a": 67, "ab": 28, "b": 14, "bc": 8, "c": 10, "d": 4, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 132, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "JITIAN ZHAO", "John Gillett" ], "a": 30, "ab": 17, "b": 12, "bc": 5, "c": 2, "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": 67, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "AJINKYA HEMANT KOKANDAKAR", "John Gillett", "XINGYU TANG" ], "a": 51, "ab": 28, "b": 38, "bc": 6, "c": 10, "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": 133, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "John Gillett", "Michael Harding" ], "a": 26, "ab": 14, "b": 15, "bc": 6, "c": 5, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 66, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "JITIAN ZHAO", "John Gillett", "RYAN YEE" ], "a": 82, "ab": 28, "b": 18, "bc": 2, "c": 4, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 136, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "JITIAN ZHAO", "John Gillett", "RYAN YEE" ], "a": 35, "ab": 18, "b": 17, "bc": 10, "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": 82, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "John Gillett", "RYAN YEE" ], "a": 44, "ab": 26, "b": 19, "bc": 4, "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": 96, "source_aliases": [ "STAT 451" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 451", "course_uid": "course_64851c516bf8195a88f81cc4", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Baiheng Chen", "John Gillett" ], "a": 36, "ab": 28, "b": 21, "bc": 6, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 92, "source_aliases": [ "STAT 451" ] } ] ``` ### statistics #### gpa 3.579 #### graded 1079 #### counts * 583 * 234 * 169 * 49 * 38 * 5 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_64851c516bf8195a88f81cc4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_64851c516bf8195a88f81cc4-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_64851c516bf8195a88f81cc4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_64851c516bf8195a88f81cc4-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_64851c516bf8195a88f81cc4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_64851c516bf8195a88f81cc4-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_64851c516bf8195a88f81cc4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_64851c516bf8195a88f81cc4-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_64851c516bf8195a88f81cc4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_64851c516bf8195a88f81cc4-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.5787766450417053 #### count 1079 #### university ##### size 4570 ##### gpa Percentile 28 ##### count Percentile 93 ##### median Count 131 ##### 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 | 12 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 1109 | true | | 3.6–4.0 | 3215 | false | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 72, "gpaPercentile": 51, "countPercentile": 86, "medianCount": 197.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 29, "current": true }, { "range": "3.6–4.0", "count": 35, "current": false } ] } } ] ``` ### terms #### 1212 ##### term 1212 ##### gpa 3.7241379310344827 ##### count 58 ##### university ###### size 1111 ###### gpa Percentile 59 ###### count Percentile 42 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 75, "countPercentile": 25, "medianCount": 100, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.923076923076923 ##### count 130 ##### university ###### size 1157 ###### gpa Percentile 88 ###### count Percentile 76 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 94, "countPercentile": 77, "medianCount": 55.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.7637362637362637 ##### count 91 ##### university ###### size 1171 ###### gpa Percentile 65 ###### count Percentile 65 ###### 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 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 85, "countPercentile": 54, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.450381679389313 ##### count 131 ##### university ###### size 1216 ###### gpa Percentile 32 ###### count Percentile 76 ###### 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": 52, "countPercentile": 77, "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 } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.4776119402985075 ##### count 67 ##### university ###### size 1188 ###### gpa Percentile 34 ###### count Percentile 51 ###### 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 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 58, "countPercentile": 46, "medianCount": 67, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.3909774436090228 ##### count 133 ##### university ###### size 1295 ###### gpa Percentile 26 ###### count Percentile 77 ###### 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": 39, "countPercentile": 82, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.378787878787879 ##### count 66 ##### university ###### size 1241 ###### gpa Percentile 24 ###### count Percentile 50 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 50, "countPercentile": 57, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.651851851851852 ##### count 135 ##### university ###### size 1333 ###### gpa Percentile 47 ###### count Percentile 77 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 74, "countPercentile": 81, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.4875 ##### count 80 ##### university ###### size 1289 ###### gpa Percentile 31 ###### count Percentile 58 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 28, "gpaPercentile": 56, "countPercentile": 59, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.5416666666666665 ##### count 96 ##### university ###### size 1320 ###### gpa Percentile 34 ###### count Percentile 64 ###### 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": 68, "countPercentile": 61, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.5 ##### count 92 ##### university ###### size 1283 ###### gpa Percentile 29 ###### count Percentile 65 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 26, "gpaPercentile": 64, "countPercentile": 60, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4570 ###### gpa 3.7016416494854725 ###### top Share 84.44184475152247 ###### count 131 ##### STAT ###### size 72 ###### gpa 3.574879309775961 ###### top Share 77.08450309918506 ###### count 197.5 #### terms ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### STAT ###### size 32 ###### gpa 3.4861059411832307 ###### top Share 71.46520654148341 ###### count 55.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top Share 69.88606041738046 ###### count 74 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### STAT ###### size 32 ###### gpa 3.4024781451477413 ###### top Share 66.63145704464162 ###### count 60.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### STAT ###### size 25 ###### gpa 3.396227416481204 ###### top Share 66.8429997070879 ###### count 67 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### STAT ###### size 29 ###### gpa 3.390846810323202 ###### top Share 64.2629736611174 ###### count 62 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### STAT ###### size 28 ###### gpa 3.4752654121860003 ###### top Share 68.35873780152826 ###### count 70 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### STAT ###### size 26 ###### gpa 3.343399816676682 ###### top Share 63.23102425546245 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_c29c695b537eb30977ee94b5", "name": "JOHN GILLETT", "count": 891, "terms": [ { "term": "1224", "count": 91, "sections": 2, "gpa": 3.7637362637362637 }, { "term": "1232", "count": 131, "sections": 4, "gpa": 3.450381679389313 }, { "term": "1234", "count": 67, "sections": 2, "gpa": 3.4776119402985075 }, { "term": "1242", "count": 133, "sections": 4, "gpa": 3.3909774436090228 }, { "term": "1244", "count": 66, "sections": 2, "gpa": 3.378787878787879 }, { "term": "1252", "count": 135, "sections": 4, "gpa": 3.651851851851852 }, { "term": "1254", "count": 80, "sections": 2, "gpa": 3.4875 }, { "term": "1262", "count": 96, "sections": 2, "gpa": 3.5416666666666665 }, { "term": "1264", "count": 92, "sections": 2, "gpa": 3.5 } ] }, { "uid": "instructor_ca286d412368f20739163e41", "name": "JITIAN ZHAO", "count": 430, "terms": [ { "term": "1222", "count": 61, "sections": 2, "gpa": 3.9262295081967213 }, { "term": "1224", "count": 91, "sections": 2, "gpa": 3.7637362637362637 }, { "term": "1232", "count": 65, "sections": 2, "gpa": 3.576923076923077 }, { "term": "1234", "count": 67, "sections": 2, "gpa": 3.4776119402985075 }, { "term": "1252", "count": 66, "sections": 2, "gpa": 3.643939393939394 }, { "term": "1254", "count": 80, "sections": 2, "gpa": 3.4875 } ] }, { "uid": "instructor_f4a9d9ab6edeee0e73be3675", "name": "RYAN YEE", "count": 245, "terms": [ { "term": "1252", "count": 69, "sections": 2, "gpa": 3.6594202898550723 }, { "term": "1254", "count": 80, "sections": 2, "gpa": 3.4875 }, { "term": "1262", "count": 96, "sections": 2, "gpa": 3.5416666666666665 } ] }, { "uid": "instructor_88663f568ebff1b020dbbc51", "name": "SEBASTIAN RASCHKA", "count": 188, "terms": [ { "term": "1212", "count": 58, "sections": 2, "gpa": 3.7241379310344827 }, { "term": "1222", "count": 130, "sections": 3, "gpa": 3.923076923076923 } ] }, { "uid": "instructor_eeb902c84f921bb8550c1160", "name": "BAIHENG CHEN", "count": 92, "terms": [ { "term": "1264", "count": 92, "sections": 2, "gpa": 3.5 } ] }, { "uid": "instructor_2bbea91035baf8e8cb629ca7", "name": "YANBO SHEN", "count": 69, "terms": [ { "term": "1222", "count": 69, "sections": 1, "gpa": 3.920289855072464 } ] }, { "uid": "instructor_a70724b05f6c1a0b1c967952", "name": "AJINKYA HEMANT KOKANDAKAR", "count": 67, "terms": [ { "term": "1242", "count": 67, "sections": 2, "gpa": 3.298507462686567 } ] }, { "uid": "instructor_3063cec3983a2b157977d681", "name": "MICHAEL HARDING", "count": 66, "terms": [ { "term": "1244", "count": 66, "sections": 2, "gpa": 3.378787878787879 } ] }, { "uid": "instructor_3dac0f7a61017349571ff5cb", "name": "XINGYU TANG", "count": 66, "terms": [ { "term": "1242", "count": 66, "sections": 2, "gpa": 3.484848484848485 } ] }, { "uid": "instructor_ebccd50a43f3c8007d148ac1", "name": "ELINA CHOI", "count": 66, "terms": [ { "term": "1232", "count": 66, "sections": 2, "gpa": 3.3257575757575757 } ] }, { "uid": "instructor_db32a27d5acd033dce683cd2", "name": "ZHONGJIE YU", "count": 58, "terms": [ { "term": "1212", "count": 58, "sections": 2, "gpa": 3.7241379310344827 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.2 #### upper 3.94 #### coverage 80 #### terms 4 ### gpa 3.5717698237736664 ### grades | grade | percentage | | ----- | ------------------- | | A | 53.58373313687165 | | AB | 21.943272906419125 | | B | 16.22170403002004 | | BC | 3.3810648067041122 | | C | 4.228878329403625 | | D | 0.46506389178544566 | | F | 0.1762828987959878 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 625 ### same Season true ### historical Range * 3.3909774436090228 * 3.923076923076923 ### backtest #### terms 4 #### gpa Error 0.1959209568640764 #### mix Error 17.473408048029736