# STAT 304: R for Statistics II | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_304) ## 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 12b49df4c98a78b0eb08cf93dfe2be8ebf155d351f5ae108efa8e0cc635a2271 ### course id STAT 304 ### course uid course\_2364ea4d92955fbad9988956 ### catalog version id 3bc28388ec23d480f61a2f99e4e15d88f6f45929bbab707bb12f0ccdb554926a ### course number 304 ### subjects * STAT ### title R FOR STATISTICS II ### description Provides an understanding of the commonly used statistical language R. Topics will include writing conditional expressions, loops, and functions; manipulating data matrices and arrays; extracting data from text; and making high level visualizations of data. ### requirements text STAT 303 ### credits min 1 ### credits max 1 ### credit offering ids * 1272:932:025056 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 5c158accfaf2d2dac38c790a4b4a05c5f2d0ff4a03bcdfdb9f916e6ebddecf8d ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 304 teaches advanced R programming skills for statistics, including data manipulation, text extraction, and visualization. ### llm topics * Conditional expressions, loops, and functions. * Data matrices and arrays. * Text data extraction. * High-level data visualizations. ### llm skills * Writing control structures and functions in R. * Manipulating data matrices and arrays. * Extracting data from text. * Creating high-level data visualizations. ### llm assumed background * Foundational knowledge of the R programming language and exploratory data analysis. ### llm search phrases * R programming statistics * data visualization R * statistical computing * R functions loops ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 0afbc23322f1e5d2b7df442824a7f931e1b66173c0ae627a33f851f6108cc61e #### course id STAT 304 #### current instructors ```json [ { "instructor_uid": "instructor_549402aaa3fc02311c4c262e", "message": null, "name": "Bo Yang", "review_status": "supported", "rmp_instructor_id": "rmp:2107418", "summary": [ { "citations": [ { "instructor_name": "Bo Yang", "review_date": "2019-12-23 22:46:44 +0000 UTC", "review_id": "3b022639bbd64b9ef9769a3f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2107418", "source_review_id": "UmF0aW5nLTMyNzUwODk4", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "type": "review" }, { "instructor_name": "Bo Yang", "review_date": "2024-04-21 20:29:25 +0000 UTC", "review_id": "9f8e0c9e5c306c4b864fc1ac", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2107418", "source_review_id": "UmF0aW5nLTM5MjIxNDYz", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "type": "review" } ], "text": "Bo Yang is described as rude and unhelpful, with students reporting he flips out for no reason and fails to teach R skills. Reviewers advise avoiding him, citing his inability to teach effectively." }, { "citations": [ { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.76 GPA, 84.2% A/AB (n=57 letter grades); Fall 2025: 3.72 GPA, 80.6% A/AB (n=67 letter grades); Spring 2026: 3.77 GPA, 92.2% A/AB (n=64 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 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.76 GPA, 84.2% A/AB (n=57 letter grades); Fall 2025: 3.72 GPA, 80.6% A/AB (n=67 letter grades); Spring 2026: 3.77 GPA, 92.2% A/AB (n=64 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload One reviewer notes the course content was manageable due to prior job experience, though they earned an A. ```json { "citations": [ { "instructor_name": "Bo Yang", "review_date": "2019-12-23 22:46:44 +0000 UTC", "review_id": "3b022639bbd64b9ef9769a3f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2107418", "source_review_id": "UmF0aW5nLTMyNzUwODk4", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Bo Yang receives severe criticism for rudeness and poor teaching, with reviewers advising avoidance. ```json { "citations": [ { "instructor_name": "Bo Yang", "review_date": "2019-12-23 22:46:44 +0000 UTC", "review_id": "3b022639bbd64b9ef9769a3f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2107418", "source_review_id": "UmF0aW5nLTMyNzUwODk4", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "type": "review" }, { "instructor_name": "Bo Yang", "review_date": "2024-04-21 20:29:25 +0000 UTC", "review_id": "9f8e0c9e5c306c4b864fc1ac", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2107418", "source_review_id": "UmF0aW5nLTM5MjIxNDYz", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.76 GPA, 84.2% A/AB (n=57 letter grades); Fall 2025: 3.72 GPA, 80.6% A/AB (n=67 letter grades); Spring 2026: 3.77 GPA, 92.2% A/AB (n=64 letter grades). ```json { "citations": [ { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Reviewers report that Bo Yang provides no support for gaining R skills and is difficult to interact with. ```json { "citations": [ { "instructor_name": "Bo Yang", "review_date": "2019-12-23 22:46:44 +0000 UTC", "review_id": "3b022639bbd64b9ef9769a3f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2107418", "source_review_id": "UmF0aW5nLTMyNzUwODk4", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "type": "review" } ] } ``` #### 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 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "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 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "STAT 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "source_record": { "entity_id": "848f2fbb-d2cc-3016-a58b-30e8cd32d307", "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": 303, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 303", "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": "1272:932:025056", "course_id": "STAT 304", "course_uid": "course_2364ea4d92955fbad9988956", "term_id": "1272", "source_course_id": "025056", "source_subject_id": "932", "title": "R for Statistics II", "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:1272:22392", "term_id": "1272", "source_section_id": "22392", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 86, "enrolled": 70, "waitlisted": 0, "start_date": "2026-10-05 05:00:00+00:00", "end_date": "2026-11-08 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22576", "term_id": "1272", "source_section_id": "22576", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 10, "enrolled": 3, "waitlisted": 0, "start_date": "2026-10-05 05:00:00+00:00", "end_date": "2026-11-08 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": 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"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" } ] ``` 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"run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 304", "course_uid": "course_2364ea4d92955fbad9988956", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Bo Yang", "Zhifeng Chen" ], "a": 47, "ab": 7, "b": 9, "bc": 3, "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": 68, "source_aliases": [ "STAT 304" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 304", "course_uid": "course_2364ea4d92955fbad9988956", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Bo Yang", "Zhifeng Chen" ], "a": 50, "ab": 9, "b": 1, "bc": 2, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 64, "source_aliases": [ "STAT 304" ] } ] ``` ### statistics #### gpa 3.793 #### graded 769 #### counts * 607 * 73 * 56 * 16 * 11 * 3 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_2364ea4d92955fbad9988956-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_2364ea4d92955fbad9988956-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_2364ea4d92955fbad9988956-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_2364ea4d92955fbad9988956-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_2364ea4d92955fbad9988956-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_2364ea4d92955fbad9988956-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_2364ea4d92955fbad9988956-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_2364ea4d92955fbad9988956-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7925877763329 #### count 769 #### university ##### size 4772 ##### gpa Percentile 53 ##### count Percentile 88 ##### 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": 73, "countPercentile": 78, "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 3.931297709923664 ##### count 131 ##### university ###### size 1102 ###### gpa Percentile 91 ###### count Percentile 75 ###### 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": 93, "countPercentile": 72, "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 3.8679245283018866 ##### count 53 ##### university ###### size 1012 ###### gpa Percentile 69 ###### count Percentile 40 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 85, "countPercentile": 23, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.7604166666666665 ##### count 48 ##### university ###### size 1111 ###### gpa Percentile 64 ###### count Percentile 32 ###### 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": 83, "countPercentile": 21, "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 3.7857142857142856 ##### count 35 ##### university ###### size 1157 ###### gpa Percentile 69 ###### count Percentile 12 ###### 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": 81, "countPercentile": 13, "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 3.715686274509804 ##### count 51 ##### university ###### size 1171 ###### gpa Percentile 59 ###### count Percentile 38 ###### 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": 69, "countPercentile": 15, "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 3.7439024390243905 ##### count 41 ##### university ###### size 1216 ###### gpa Percentile 63 ###### count Percentile 23 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 87, "countPercentile": 13, "medianCount": 60.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.8583333333333334 ##### count 60 ##### university ###### size 1188 ###### gpa Percentile 75 ###### count Percentile 45 ###### 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 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 96, "countPercentile": 29, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8508771929824563 ##### count 57 ##### university ###### size 1295 ###### gpa Percentile 74 ###### count Percentile 43 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 85, "countPercentile": 52, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.625 ##### count 52 ##### university ###### size 1241 ###### gpa Percentile 46 ###### count Percentile 38 ###### 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": 79, "countPercentile": 36, "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 3.69811320754717 ##### count 53 ##### university ###### size 1333 ###### gpa Percentile 52 ###### count Percentile 37 ###### 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": 81, "countPercentile": 42, "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 3.763157894736842 ##### count 57 ##### university ###### size 1289 ###### gpa Percentile 61 ###### count Percentile 43 ###### 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": 74, "countPercentile": 37, "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 3.716417910447761 ##### count 67 ##### university ###### size 1320 ###### gpa Percentile 53 ###### count Percentile 47 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 82, "countPercentile": 36, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.7734375 ##### count 64 ##### university ###### size 1283 ###### gpa Percentile 59 ###### count Percentile 47 ###### 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": 88, "countPercentile": 44, "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": 693, "terms": [ { "term": "1202", "count": 70, "sections": 2, "gpa": 3.942857142857143 }, { "term": "1204", "count": 53, "sections": 2, "gpa": 3.8679245283018866 }, { "term": "1212", "count": 33, "sections": 2, "gpa": 3.757575757575758 }, { "term": "1222", "count": 35, "sections": 4, "gpa": 3.7857142857142856 }, { "term": "1224", "count": 51, "sections": 3, "gpa": 3.715686274509804 }, { "term": "1232", "count": 41, "sections": 4, "gpa": 3.7439024390243905 }, { "term": "1234", "count": 60, "sections": 4, "gpa": 3.8583333333333334 }, { "term": "1242", "count": 57, "sections": 4, "gpa": 3.8508771929824563 }, { "term": "1244", "count": 52, "sections": 4, "gpa": 3.625 }, { "term": "1252", "count": 53, "sections": 2, "gpa": 3.69811320754717 }, { "term": "1254", "count": 57, "sections": 2, "gpa": 3.763157894736842 }, { "term": "1262", "count": 67, "sections": 2, "gpa": 3.716417910447761 }, { "term": "1264", "count": 64, "sections": 2, "gpa": 3.7734375 } ] }, { "uid": "instructor_bc7547c463578e6a6f5351b8", "name": "ZHIFENG CHEN", "count": 241, "terms": [ { "term": "1252", "count": 53, "sections": 2, "gpa": 3.69811320754717 }, { "term": "1254", "count": 57, "sections": 2, "gpa": 3.763157894736842 }, { "term": "1262", "count": 67, "sections": 2, "gpa": 3.716417910447761 }, { "term": "1264", "count": 64, "sections": 2, "gpa": 3.7734375 } ] }, { "uid": "instructor_3477a452ad67417e33b0075e", "name": "NURSULTAN AZHIMURATOV", "count": 169, "terms": [ { "term": "1234", "count": 60, "sections": 4, "gpa": 3.8583333333333334 }, { "term": "1242", "count": 57, "sections": 4, "gpa": 3.8508771929824563 }, { "term": "1244", "count": 52, "sections": 4, "gpa": 3.625 } ] }, { "uid": "instructor_1172e88b5ae6ba42f3343950", "name": "BEHZAD AALIPUR HAFSHEJANI", "count": 85, "terms": [ { "term": "1202", "count": 85, "sections": 2, "gpa": 3.9823529411764707 } ] }, { "uid": "instructor_c3485b02711ec2c4ee562800", "name": "BOWEN HU", "count": 68, "terms": [ { "term": "1202", "count": 20, "sections": 1, "gpa": 3.75 }, { "term": "1212", "count": 48, "sections": 3, "gpa": 3.7604166666666665 } ] }, { "uid": "instructor_086d91a37c96e21beccd134b", "name": "ALEXANDER COVINGTON", "count": 56, "terms": [ { "term": "1202", "count": 41, "sections": 1, "gpa": 4 }, { "term": "1212", "count": 15, "sections": 1, "gpa": 3.7666666666666666 } ] }, { "uid": "instructor_53d6506dcfd0a75fd8db60d2", "name": "HONGZHI LIU", "count": 53, "terms": [ { "term": "1204", "count": 53, "sections": 2, "gpa": 3.8679245283018866 } ] }, { "uid": "instructor_f4374005946a9d4008a85a55", "name": "PO-KUEI CHEN", "count": 51, "terms": [ { "term": "1224", "count": 51, "sections": 3, "gpa": 3.715686274509804 } ] }, { "uid": "instructor_a37b284fdb63145ca5b3de91", "name": "ZHONGLING LIAO", "count": 41, "terms": [ { "term": "1232", "count": 41, "sections": 4, "gpa": 3.7439024390243905 } ] }, { "uid": "instructor_446a70d6c59b0e42240d024b", "name": "ZHUOYAN XU", "count": 35, "terms": [ { "term": "1222", "count": 35, "sections": 4, "gpa": 3.7857142857142856 } ] }, { "uid": "instructor_776a80367ac941071d85ded3", "name": "DEREK BEAN", "count": 20, "terms": [ { "term": "1202", "count": 20, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_cb916b081d4445a99ae52c5c", "name": "SIJING LI", "count": 20, "terms": [ { "term": "1202", "count": 20, "sections": 1, "gpa": 3.75 } ] } ] ``` ## following | code | title | | -------- | -------------------- | | STAT 305 | R FOR STATISTICS III | ## projection ### target 1272 ### interval #### lower 3.63 #### upper 3.87 #### coverage 80 #### terms 5 ### gpa 3.750290486733498 ### grades | grade | percentage | | ----- | ------------------- | | A | 74.56685201286265 | | AB | 11.102315436070883 | | B | 8.651503796289889 | | BC | 3.2695366455614607 | | C | 1.7135250255134504 | | D | 0.34813354185081935 | | F | 0.34813354185081935 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 253 ### same Season true ### historical Range * 3.69811320754717 * 3.850877192982456 ### backtest #### terms 5 #### gpa Error 0.06785587209596526 #### mix Error 11.489285493961399