# STAT 305: R for Statistics III | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_305) ## 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 4db7bf055c811b97a8d4e3991a15ef5f85d2de4b4675d4fc6c8e28ff54925e0a ### course id STAT 305 ### course uid course\_b39b93337ad24a2a65ba3267 ### catalog version id a6934c7534561996bbf0a1ff9648175eabfa72a70252d16434e6f2d9b69130e0 ### course number 305 ### subjects * STAT ### title R FOR STATISTICS III ### description Provides an understanding of the commonly used statistical language R. Learn to combine R with high performance computing tools to do scientific computing. ### requirements text STAT 304 ### credits min 1 ### credits max 1 ### credit offering ids * 1272:932:025057 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id e0e163b628961011866dc359c6f6767e2ac655ebca38a992dacd8268d16650df ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 305 teaches students to use the R statistical language and integrate it with high performance computing tools for scientific computing. ### llm topics * High performance computing with R * Statistical language R ### llm skills * Combining R with high performance computing tools for scientific computing. ### llm assumed background * Foundational knowledge of the R programming language, including data manipulation and exploratory data analysis. * Intermediate R programming skills, including control structures, functions, data structure manipulation, and data visualization. ### llm search phrases * R programming statistics * high performance computing R * scientific computing R * STAT 305 prerequisites * R for statistics III ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash f3db8998427147cae164d45b53c8a17a3c759801f08f38505c31fd963466353e #### course id STAT 305 #### 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 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.84 GPA, 90.3% A/AB (n=31 letter grades); Fall 2025: 3.85 GPA, 90.0% A/AB (n=20 letter grades); Spring 2026: 3.81 GPA, 91.4% A/AB (n=35 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_f0cd815c302d74748eeeee6d", "message": "No course-specific reviews available", "name": "Zhifeng Chen", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.84 GPA, 90.3% A/AB (n=31 letter grades); Fall 2025: 3.85 GPA, 90.0% A/AB (n=20 letter grades); Spring 2026: 3.81 GPA, 91.4% A/AB (n=35 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 3.84 GPA, 90.3% A/AB (n=31 letter grades); Fall 2025: 3.85 GPA, 90.0% A/AB (n=20 letter grades); Spring 2026: 3.81 GPA, 91.4% A/AB (n=35 letter grades). ```json { "citations": [ { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history BO YANG is recorded teaching in Fall 2019, Spring 2020, Fall 2020, Fall 2021, 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 305", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", 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"source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 305", 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"source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` ZHIFENG CHEN is recorded teaching in Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "STAT 305", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "source_record": { "entity_id": "69d9181f-7a36-379b-9a09-19867ddcfec5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": null, "course": { "course_number": 304, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 304", "id": "n0", "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_f0cd815c302d74748eeeee6d", "source": "enrollment", "source_instructor_id": "zchen925", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zhifeng Chen", "email": "ZCHEN925@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/ZHIFENG_CHEN" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:025057", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1272", "source_course_id": "025057", "source_subject_id": "932", "title": "R for Statistics III", "credits_min": 1, "credits_max": 1, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22582", "term_id": "1272", "source_section_id": "22582", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 38, "enrolled": 33, "waitlisted": 0, "start_date": "2026-11-09 06:00:00+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:1272:22583", "term_id": "1272", "source_section_id": "22583", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 10, "enrolled": 1, "waitlisted": 0, "start_date": "2026-11-09 06:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_086d91a37c96e21beccd134b", "source": "madgrades", "source_instructor_id": "5656034", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEXANDER COVINGTON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 15, "quality": 1.93, "difficulty": 3.93, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:2489613", "source_url": "https://www.ratemyprofessors.com/professor/2489613", "match_basis": "exact_name", "observed_at": "2026-09-07 16:57:00.064372+00:00", "courses": { "course_9d705456a9a3f278c1b60cc6": { "review_count": 3, "quality": 1.67, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_bf80347054c4234ada79c07e": { "review_count": 10, "quality": 1.8, "difficulty": 3.8, "quality_count": 10, "difficulty_count": 10 } }, "bayesian_quality": 2.91839187631234, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.062, "graded": 1297, "counts": [ 439, 184, 243, 139, 222, 51, 19 ], "sections": 15 }, "instructor_url": "/instructors/ALEXANDER_COVINGTON" }, { "instructor_uid": "instructor_1172e88b5ae6ba42f3343950", "source": "madgrades", "source_instructor_id": "5694563", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BEHZAD AALIPUR HAFSHEJANI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.617, "graded": 551, "counts": [ 350, 88, 57, 28, 19, 6, 3 ], "sections": 12 }, "instructor_url": "/instructors/BEHZAD_AALIPUR_HAFSHEJANI" }, { "instructor_uid": "instructor_776a80367ac941071d85ded3", "source": "madgrades", "source_instructor_id": "4264265", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DEREK BEAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 14, "quality": 3.57, "difficulty": 3.43, "quality_count": 14, "difficulty_count": 14, "profile_id": "rmp:2158238", "source_url": "https://www.ratemyprofessors.com/professor/2158238", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:51.253119+00:00", "courses": { "course_bf80347054c4234ada79c07e": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_096be5272e913d9005e3298b": { "review_count": 5, "quality": 3, "difficulty": 3.6, "quality_count": 5, "difficulty_count": 5 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_24942ca6acb3a153de2907d5": { "review_count": 3, "quality": 3.67, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 2, "quality": 3.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.622756343262703, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.251, "graded": 3442, "counts": [ 1220, 749, 730, 335, 284, 92, 32 ], "sections": 50 }, "instructor_url": "/instructors/DEREK_BEAN--instructor_776a80367ac941071d85ded3" }, { "instructor_uid": "instructor_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_c3485b02711ec2c4ee562800", "source": "madgrades", "source_instructor_id": "5690247", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BOWEN HU", "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": 3.483, "graded": 286, "counts": [ 152, 51, 42, 19, 17, 2, 3 ], "sections": 13 }, "instructor_url": "/instructors/BOWEN_HU--instructor_c3485b02711ec2c4ee562800" }, { "instructor_uid": "instructor_cb916b081d4445a99ae52c5c", "source": "madgrades", "source_instructor_id": "5323628", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIJING LI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 12, "quality": 2.25, "difficulty": 2.83, "quality_count": 12, "difficulty_count": 12, "profile_id": "rmp:2092577", "source_url": "https://www.ratemyprofessors.com/professor/2092577", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:57.122977+00:00", "courses": { "course_06abb97e9793bf858754daa3": { "review_count": 3, "quality": 1, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 4, "quality": 3.5, "difficulty": 2.25, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.131053614716622, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.333, "graded": 549, "counts": [ 230, 100, 115, 64, 21, 13, 6 ], "sections": 8 }, "instructor_url": "/instructors/SIJING_LI--instructor_cb916b081d4445a99ae52c5c" }, { "instructor_uid": "instructor_53d6506dcfd0a75fd8db60d2", "source": "madgrades", "source_instructor_id": "5833243", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HONGZHI LIU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.713, "graded": 333, "counts": [ 234, 53, 28, 6, 6, 4, 2 ], "sections": 11 }, "instructor_url": "/instructors/HONGZHI_LIU--instructor_53d6506dcfd0a75fd8db60d2" }, { "instructor_uid": "instructor_446a70d6c59b0e42240d024b", "source": "madgrades", "source_instructor_id": "6166495", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHUOYAN XU", "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": 3.75, "graded": 232, "counts": [ 179, 26, 8, 8, 9, 1, 1 ], "sections": 14 }, "instructor_url": "/instructors/ZHUOYAN_XU" }, { "instructor_uid": "instructor_f4374005946a9d4008a85a55", "source": "madgrades", "source_instructor_id": "6289510", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PO-KUEI 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": 3.675, "graded": 183, "counts": [ 130, 14, 29, 3, 4, 1, 2 ], "sections": 9 }, "instructor_url": "/instructors/PO-KUEI_CHEN--instructor_f4374005946a9d4008a85a55" }, { "instructor_uid": "instructor_a37b284fdb63145ca5b3de91", "source": "madgrades", "source_instructor_id": "6239551", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHONGLING LIAO", "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": 3.522, "graded": 268, "counts": [ 137, 51, 53, 15, 10, 1, 1 ], "sections": 15 }, "instructor_url": "/instructors/ZHONGLING_LIAO--instructor_a37b284fdb63145ca5b3de91" }, { "instructor_uid": "instructor_3477a452ad67417e33b0075e", "source": "madgrades", "source_instructor_id": "6367177", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NURSULTAN AZHIMURATOV", "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": 3.783, "graded": 623, "counts": [ 482, 63, 53, 10, 11, 2, 2 ], "sections": 36 }, "instructor_url": "/instructors/NURSULTAN_AZHIMURATOV--instructor_3477a452ad67417e33b0075e" }, { "instructor_uid": "instructor_bc7547c463578e6a6f5351b8", "source": "madgrades", "source_instructor_id": "6318178", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHIFENG 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": 3.783, "graded": 1042, "counts": [ 814, 107, 64, 33, 16, 5, 3 ], "sections": 35 }, "instructor_url": "/instructors/ZHIFENG_CHEN--instructor_bc7547c463578e6a6f5351b8" }, { "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_f0cd815c302d74748eeeee6d", "source": "enrollment", "source_instructor_id": "zchen925", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zhifeng Chen", "email": "ZCHEN925@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/ZHIFENG_CHEN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "ALEXANDER COVINGTON", "BEHZAD AALIPUR HAFSHEJANI", "BOWEN HU", "Bo Yang", "Derek Bean", "Siming Li" ], "a": 71, "ab": 0, "b": 2, "bc": 0, "c": 1, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 76, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Bo Yang", "HONGZHI LIU" ], "a": 20, "ab": 1, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "ALEXANDER COVINGTON", "BOWEN HU", "Bo Yang" ], "a": 16, "ab": 0, "b": 4, "bc": 1, "c": 2, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Bo Yang", "ZHUOYAN XU" ], "a": 22, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Bo Yang", "PO-KUEI CHEN" ], "a": 25, "ab": 0, "b": 0, "bc": 0, "c": 1, "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": 28, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Bo Yang", "ZHONGLING LIAO" ], "a": 11, "ab": 5, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Bo Yang", "NURSULTAN AZHIMURATOV" ], "a": 26, "ab": 0, "b": 1, "bc": 1, "c": 1, "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": 30, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Bo Yang", "NURSULTAN AZHIMURATOV" ], "a": 29, "ab": 6, "b": 5, "bc": 1, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Bo Yang", "NURSULTAN AZHIMURATOV" ], "a": 23, "ab": 3, "b": 4, "bc": 0, "c": 1, "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": 32, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Bo Yang", "Zhifeng Chen" ], "a": 18, "ab": 4, "b": 2, "bc": 1, "c": 2, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Bo Yang", "Zhifeng Chen" ], "a": 25, "ab": 3, "b": 2, "bc": 1, "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": 32, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Bo Yang", "Zhifeng Chen" ], "a": 17, "ab": 1, "b": 1, "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": 20, "source_aliases": [ "STAT 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 305", "course_uid": "course_b39b93337ad24a2a65ba3267", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Bo Yang", "Zhifeng Chen" ], "a": 30, "ab": 2, "b": 0, "bc": 1, "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": 35, "source_aliases": [ "STAT 305" ] } ] ``` ### statistics #### gpa 3.8 #### graded 405 #### counts * 333 * 25 * 27 * 7 * 10 * 1 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b39b93337ad24a2a65ba3267-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b39b93337ad24a2a65ba3267-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b39b93337ad24a2a65ba3267-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b39b93337ad24a2a65ba3267-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b39b93337ad24a2a65ba3267-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b39b93337ad24a2a65ba3267-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8 #### count 405 #### university ##### size 4772 ##### gpa Percentile 55 ##### count Percentile 77 ##### median Count 140 ##### 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 | 9 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 1135 | false | | 3.6–4.0 | 3399 | true | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 74, "gpaPercentile": 74, "countPercentile": 66, "medianCount": 210, "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": 32, "current": false }, { "range": "3.6–4.0", "count": 35, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.9066666666666667 ##### count 75 ##### university ###### size 1102 ###### gpa Percentile 88 ###### count Percentile 55 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 90, "countPercentile": 45, "medianCount": 80.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.8541666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1212 ##### term 1212 ##### gpa 3.4375 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1222 ##### term 1222 ##### gpa 4 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1224 ##### term 1224 ##### gpa 3.923076923076923 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1232 ##### term 1232 ##### gpa 3.710526315789474 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1234 ##### term 1234 ##### gpa 3.8448275862068964 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1242 ##### term 1242 ##### gpa 3.6785714285714284 ##### count 42 ##### university ###### size 1295 ###### gpa Percentile 51 ###### count Percentile 26 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 70, "countPercentile": 24, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.7580645161290325 ##### count 31 ##### university ###### size 1241 ###### gpa Percentile 63 ###### count Percentile 3 ###### 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 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 86, "countPercentile": 4, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.6481481481481484 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1254 ##### term 1254 ##### gpa 3.838709677419355 ##### count 31 ##### university ###### size 1289 ###### gpa Percentile 72 ###### count Percentile 3 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 28, "gpaPercentile": 85, "countPercentile": 4, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.85 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1264 ##### term 1264 ##### gpa 3.8142857142857145 ##### count 35 ##### university ###### size 1283 ###### gpa Percentile 65 ###### count Percentile 10 ###### 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 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 26, "gpaPercentile": 92, "countPercentile": 4, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4772 ###### gpa 3.7072110043885127 ###### top Share 84.79051322118589 ###### count 140 ##### STAT ###### size 74 ###### gpa 3.588116026726468 ###### top Share 77.85715546634837 ###### count 210 #### terms ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### STAT ###### size 30 ###### gpa 3.4022744829589433 ###### top Share 67.29048111947832 ###### count 80.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### STAT ###### size 27 ###### gpa 3.6537351147420534 ###### top Share 80.87794592686507 ###### count 56 ##### 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_a10182c6e5241212aadf03e5", "name": "BO YANG", "count": 361, "terms": [ { "term": "1202", "count": 40, "sections": 2, "gpa": 3.925 }, { "term": "1204", "count": 24, "sections": 2, "gpa": 3.8541666666666665 }, { "term": "1212", "count": 15, "sections": 2, "gpa": 3.433333333333333 }, { "term": "1222", "count": 22, "sections": 4, "gpa": 4 }, { "term": "1224", "count": 26, "sections": 3, "gpa": 3.923076923076923 }, { "term": "1232", "count": 19, "sections": 4, "gpa": 3.710526315789474 }, { "term": "1234", "count": 29, "sections": 4, "gpa": 3.8448275862068964 }, { "term": "1242", "count": 42, "sections": 4, "gpa": 3.6785714285714284 }, { "term": "1244", "count": 31, "sections": 4, "gpa": 3.7580645161290325 }, { "term": "1252", "count": 27, "sections": 2, "gpa": 3.6481481481481484 }, { "term": "1254", "count": 31, "sections": 2, "gpa": 3.838709677419355 }, { "term": "1262", "count": 20, "sections": 2, "gpa": 3.85 }, { "term": "1264", "count": 35, "sections": 2, "gpa": 3.8142857142857145 } ] }, { "uid": "instructor_bc7547c463578e6a6f5351b8", "name": "ZHIFENG CHEN", "count": 113, "terms": [ { "term": "1252", "count": 27, "sections": 2, "gpa": 3.6481481481481484 }, { "term": "1254", "count": 31, "sections": 2, "gpa": 3.838709677419355 }, { "term": "1262", "count": 20, "sections": 2, "gpa": 3.85 }, { "term": "1264", "count": 35, "sections": 2, "gpa": 3.8142857142857145 } ] }, { "uid": "instructor_3477a452ad67417e33b0075e", "name": "NURSULTAN AZHIMURATOV", "count": 102, "terms": [ { "term": "1234", "count": 29, "sections": 4, "gpa": 3.8448275862068964 }, { "term": "1242", "count": 42, "sections": 4, "gpa": 3.6785714285714284 }, { "term": "1244", "count": 31, "sections": 4, "gpa": 3.7580645161290325 } ] }, { "uid": "instructor_1172e88b5ae6ba42f3343950", "name": "BEHZAD AALIPUR HAFSHEJANI", "count": 70, "terms": [ { "term": "1202", "count": 70, "sections": 2, "gpa": 3.9 } ] }, { "uid": "instructor_086d91a37c96e21beccd134b", "name": "ALEXANDER COVINGTON", "count": 44, "terms": [ { "term": "1202", "count": 35, "sections": 1, "gpa": 3.8857142857142857 }, { "term": "1212", "count": 9, "sections": 1, "gpa": 3.4444444444444446 } ] }, { "uid": "instructor_f4374005946a9d4008a85a55", "name": "PO-KUEI CHEN", "count": 26, "terms": [ { "term": "1224", "count": 26, "sections": 3, "gpa": 3.923076923076923 } ] }, { "uid": "instructor_53d6506dcfd0a75fd8db60d2", "name": "HONGZHI LIU", "count": 24, "terms": [ { "term": "1204", "count": 24, "sections": 2, "gpa": 3.8541666666666665 } ] }, { "uid": "instructor_c3485b02711ec2c4ee562800", "name": "BOWEN HU", "count": 24, "terms": [ { "term": "1212", "count": 24, "sections": 3, "gpa": 3.4375 } ] }, { "uid": "instructor_446a70d6c59b0e42240d024b", "name": "ZHUOYAN XU", "count": 22, "terms": [ { "term": "1222", "count": 22, "sections": 4, "gpa": 4 } ] }, { "uid": "instructor_a37b284fdb63145ca5b3de91", "name": "ZHONGLING LIAO", "count": 19, "terms": [ { "term": "1232", "count": 19, "sections": 4, "gpa": 3.710526315789474 } ] } ] ``` ## following None recorded.