# MATH 331: Introductory Probability | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_331) ## 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 ff72c48a1d02dd28f238c1fde7e9811ff7bb81f55a960fe1d8cf51aef8589da0 ### course id MATH 331 ### course uid course\_5d5f3a3f185baf9eaaa98221 ### catalog version id 5f0aad4ae714ffce140ac27caa694bb14be76e00bb05d01aef77d1ede0d6f694 ### course number 331 ### subjects * MATH ### title INTRODUCTORY PROBABILITY ### description Topics covered include axioms of probability, random variables, the most important discrete and continuous probability distributions, expectation and variance, conditional probability and conditional expectations, Markov's and Chebyshev's inequalities, laws of large numbers, and the central limit theorem. Includes a brief introduction to techniques of multivariate integration. ### requirements text MATH 213or222. Not open to students with credit forMATH/​STAT  309orSTAT/​MATH  431. ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:011652 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 680ea0491e36c10b3374ab1fa3a6377ac58a34ae8e0e32e26d6d2531070911c3 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MATH 331 INTRODUCTORY PROBABILITY covers axioms, distributions, expectation, inequalities, and limit theorems. ### llm topics * Probability axioms and distributions * Multivariate integration ### llm skills * Probability theory and distributions * Multivariate integration techniques ### llm assumed background * Calculus and multivariable integration techniques * Single-variable calculus foundations ### llm search phrases * introductory probability course * MATH 331 prerequisites * probability and statistics background * calculus for probability ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 5c7e75c2817f278f12ab86d767543ea8d6a565f5a7ebcd06d2245fecaf58b720 #### course id MATH 331 #### current instructors ```json [ { "instructor_uid": "instructor_c978b485cf57b53178bad60d", "message": "No course-specific reviews available", "name": "Amy Cochran", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2795194", "summary": [] }, { "instructor_uid": "instructor_81b19386639c1eb68bbb4ae0", "message": "No course-specific reviews available", "name": "Benedek Valko", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:1566085", "summary": [ { "citations": [ { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" } ], "text": "Recent recorded grades — Fall 2009: 2.63 GPA, 46.7% A/AB (n=15 letter grades)." } ] } ] ``` #### difficulty workload Historical reviews of Yukun Yue: Yukun Yue’s course was reported as difficult, with exams containing unexpected proofs and varying in difficulty compared to practice materials. Success required significant study effort and reliance on practice problems. ```json { "citations": [ { "instructor_name": "Yukun Yue", "review_date": "2024-12-11 20:18:04 +0000 UTC", "review_id": "775fdd1d1bb0e49fb0e815bc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQwMjI4NDcx", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" }, { "instructor_name": "Yukun Yue", "review_date": "2024-12-18 19:54:53 +0000 UTC", "review_id": "35a1be01ba394acc9ec3f73a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQwMzY3MzEz", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" }, { "instructor_name": "Yukun Yue", "review_date": "2025-11-28 02:23:56 +0000 UTC", "review_id": "0219f2c5b609fb34e1bc24e4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQxOTYyNzk4", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Alexander Fish, Shi Jin, and Yukun Yue highlight significant instructional issues, including incorrect board work, confusing derivations, and unexpectedly difficult exams. While some reviewers noted that Yue was helpful and cared about student learning, others found his lectures poor and exams harsh. These accounts suggest inconsistent teaching quality and clarity among past instructors. ```json { "citations": [ { "instructor_name": "Alexander Fish", "review_date": "2011-05-11 08:14:19 +0000 UTC", "review_id": "9f5cea0edc32b1c528fa403e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1326966", "source_review_id": "UmF0aW5nLTE4NTc1Njk1", "source_url": "https://www.ratemyprofessors.com/professor/1326966", "type": "review" }, { "instructor_name": "Shi Jin", "review_date": "2013-01-13 20:03:41 +0000 UTC", "review_id": "f3a572fcd8bc4d3e079d947d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:512492", "source_review_id": "UmF0aW5nLTIxMjUzNzE5", "source_url": "https://www.ratemyprofessors.com/professor/512492", "type": "review" }, { "instructor_name": "Yukun Yue", "review_date": "2024-12-11 20:18:04 +0000 UTC", "review_id": "775fdd1d1bb0e49fb0e815bc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQwMjI4NDcx", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" }, { "instructor_name": "Yukun Yue", "review_date": "2024-12-18 19:54:53 +0000 UTC", "review_id": "35a1be01ba394acc9ec3f73a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQwMzY3MzEz", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" }, { "instructor_name": "Yukun Yue", "review_date": "2024-12-21 02:57:57 +0000 UTC", "review_id": "dfe5887f98fd1c8c624d4c72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQwNDA0Mjc5", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" }, { "instructor_name": "Yukun Yue", "review_date": "2024-12-23 16:19:18 +0000 UTC", "review_id": "9c0752651f3c49e98add5bbe", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQwNDIzMTEz", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" }, { "instructor_name": "Yukun Yue", "review_date": "2025-11-28 02:23:56 +0000 UTC", "review_id": "0219f2c5b609fb34e1bc24e4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQxOTYyNzk4", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" }, { "instructor_name": " Hyukpyo Hong", "review_date": "2025-12-25 15:40:03 +0000 UTC", "review_id": "9f32e9dfbb197ff89bf572d9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3002810", "source_review_id": "UmF0aW5nLTQyMzk2Nzkz", "source_url": "https://www.ratemyprofessors.com/professor/3002810", "type": "review" }, { "instructor_name": " Hyukpyo Hong", "review_date": "2026-05-04 01:05:45 +0000 UTC", "review_id": "beaf63fb7a20875a8353deb6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3002810", "source_review_id": "UmF0aW5nLTQzMDEzMjcz", "source_url": "https://www.ratemyprofessors.com/professor/3002810", "type": "review" }, { "instructor_name": " Hyukpyo Hong", "review_date": "2026-05-07 02:46:20 +0000 UTC", "review_id": "2664f0e42b34fced81df781e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3002810", "source_review_id": "UmF0aW5nLTQzMDU1MDY5", "source_url": "https://www.ratemyprofessors.com/professor/3002810", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Hyukpyo Hong describe him as an exceptionally clear, articulate, and prepared lecturer who effectively deconstructs complex concepts. While some students found the course difficult, they praised his structured teaching style and clarity. ```json { "citations": [ { "instructor_name": " Hyukpyo Hong", "review_date": "2025-12-25 15:40:03 +0000 UTC", "review_id": "9f32e9dfbb197ff89bf572d9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3002810", "source_review_id": "UmF0aW5nLTQyMzk2Nzkz", "source_url": "https://www.ratemyprofessors.com/professor/3002810", "type": "review" }, { "instructor_name": " Hyukpyo Hong", "review_date": "2026-05-04 01:05:45 +0000 UTC", "review_id": "beaf63fb7a20875a8353deb6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3002810", "source_review_id": "UmF0aW5nLTQzMDEzMjcz", "source_url": "https://www.ratemyprofessors.com/professor/3002810", "type": "review" }, { "instructor_name": " Hyukpyo Hong", "review_date": "2026-05-07 05:38:55 +0000 UTC", "review_id": "fc2cc20c95a9f53608bb14f4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3002810", "source_review_id": "UmF0aW5nLTQzMDU2ODI5", "source_url": "https://www.ratemyprofessors.com/professor/3002810", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.09 GPA, 46.1% A/AB (n=89 letter grades); Fall 2025: 3.13 GPA, 45.8% A/AB (n=107 letter grades); Spring 2026: 3.14 GPA, 50.7% A/AB (n=146 letter grades). ```json { "citations": [ { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Yukun Yue: Reviewers noted that while Yukun Yue’s lectures focused heavily on derivations rather than examples, he was willing to help students who asked. This support was appreciated despite the challenging lecture style. ```json { "citations": [ { "instructor_name": "Yukun Yue", "review_date": "2024-12-21 02:57:57 +0000 UTC", "review_id": "dfe5887f98fd1c8c624d4c72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQwNDA0Mjc5", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" }, { "instructor_name": "Yukun Yue", "review_date": "2024-12-23 16:19:18 +0000 UTC", "review_id": "9c0752651f3c49e98add5bbe", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2930741", "source_review_id": "UmF0aW5nLTQwNDIzMTEz", "source_url": "https://www.ratemyprofessors.com/professor/2930741", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ALEXANDER FISH is recorded teaching in Spring 2010, Fall 2010, Spring 2011. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" } ] } ``` BENEDEK VALKO is recorded teaching in Fall 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" } ] } ``` HYUKPYO HONG is recorded teaching in Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` SHI JIN is recorded teaching in Fall 2007, Fall 2012. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" } ] } ``` YUKUN YUE is recorded teaching in Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "source_record": { "entity_id": "4fdf38ee-9c24-3c19-9aa5-2f79147a4445", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "MATH 213or222. Not open to students with credit forMATH/STAT 309orSTAT/MATH 431.", "id": "n0", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 213, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 213", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 222, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "222", "id": "n2", "kind": "course" }, { "children": [ "n4" ], "condition": null, "course": null, "evidence": "Not open to students with credit forMATH/STAT 309orSTAT/MATH 431.", "id": "n3", "kind": "not" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "credit forMATH/STAT 309orSTAT/MATH 431", "id": "n4", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 309, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "MATH/STAT 309", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 431, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "STAT/MATH 431", "id": "n6", "kind": "course" } ] ``` #### notes * Root is an all node combining prerequisites and exclusion. * Prerequisites are n1, n2. * Exclusion is n3 (not) containing n4 (any of the excluded courses). * This structure correctly applies the exclusion to the whole eligibility set. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_c978b485cf57b53178bad60d", "source": "enrollment", "source_instructor_id": "cochran4", "identity_basis": "netid", "identity_status": "source_identified", "name": "Amy Cochran", "email": "COCHRAN4@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": 9, "quality": 4.67, "difficulty": 3.33, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2795194", "source_url": "https://www.ratemyprofessors.com/professor/2795194", "match_basis": "exact_name", "observed_at": "2026-09-07 16:56:00.641594+00:00", "courses": {}, "bayesian_quality": 3.973231574859721, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/AMY_COCHRAN" }, { "instructor_uid": "instructor_81b19386639c1eb68bbb4ae0", "source": "enrollment", "source_instructor_id": "valko", "identity_basis": "netid", "identity_status": "source_identified", "name": "Benedek Valko", "email": "VALKO@MATH.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": 28, "quality": 4.07, "difficulty": 3.25, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:1566085", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "match_basis": "exact_name", "observed_at": "2026-09-07 16:52:13.892497+00:00", "courses": { "course_c602622d732dbbc9aceeeddf": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 13, "quality": 4.08, "difficulty": 3.46, "quality_count": 13, "difficulty_count": 13 }, "course_436b4b4087325a19ccd87bd6": { "review_count": 3, "quality": 4.67, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3 }, "course_e0a93fa3466c39b6802e52a7": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_8634dde81cc95f6c58014087": { "review_count": 3, "quality": 4, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.899035743144415, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BENEDEK_VALKO" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:011652", "course_id": "MATH 331", "course_uid": "course_5d5f3a3f185baf9eaaa98221", "term_id": "1272", "source_course_id": "011652", "source_subject_id": "600", "title": "Introductory Probability", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:29084", "term_id": "1272", "source_section_id": "29084", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 66, "enrolled": 57, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31307", "term_id": "1272", "source_section_id": "31307", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 68, "enrolled": 61, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_8ed8687c25ad13a5614f751c", "source": "madgrades", "source_instructor_id": "2601633", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAMES D KUELBS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 2.736, "graded": 55, "counts": [ 10, 9, 13, 6, 11, 3, 3 ], "sections": 2 }, "instructor_url": "/instructors/JAMES_D_KUELBS--instructor_8ed8687c25ad13a5614f751c" }, { "instructor_uid": "instructor_e930b3f6ec9d1140d6f286c3", "source": "madgrades", "source_instructor_id": "3856847", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SERGUEI DENISSOV", "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": 78, "quality": 2.92, "difficulty": 3.53, "quality_count": 78, "difficulty_count": 78, "profile_id": "rmp:607852", "source_url": "https://www.ratemyprofessors.com/professor/607852", "match_basis": "exact_name", "observed_at": "2026-09-07 16:06:22.769845+00:00", "courses": { "course_364c50303ed83d1234b4ea51": { "review_count": 3, "quality": 2.67, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_fa53f4954bab469b5d4c4fe3": { "review_count": 5, "quality": 3.4, "difficulty": 3.4, "quality_count": 5, "difficulty_count": 5 }, "course_5d98ff5f6adce2207e394dc6": { "review_count": 2, "quality": 1.5, "difficulty": 5, "quality_count": 2, "difficulty_count": 2 }, "course_8634dde81cc95f6c58014087": { "review_count": 11, "quality": 2.45, "difficulty": 4.27, "quality_count": 11, "difficulty_count": 11 }, "course_1351409acfb0d317ef52fedf": 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"profile_id": "rmp:1566085", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "match_basis": "exact_name", "observed_at": "2026-09-07 16:52:13.892497+00:00", "courses": { "course_c602622d732dbbc9aceeeddf": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 13, "quality": 4.08, "difficulty": 3.46, "quality_count": 13, "difficulty_count": 13 }, "course_436b4b4087325a19ccd87bd6": { "review_count": 3, "quality": 4.67, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3 }, "course_e0a93fa3466c39b6802e52a7": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_8634dde81cc95f6c58014087": { "review_count": 3, "quality": 4, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.899035743144415, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.153, 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"credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 14, "source_aliases": [ "MATH 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 331", "course_uid": "course_5d5f3a3f185baf9eaaa98221", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "YUCHEN LIAO" ], "a": 19, "ab": 5, "b": 15, "bc": 3, "c": 4, "d": 3, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "MATH 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 331", "course_uid": "course_5d5f3a3f185baf9eaaa98221", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "YUKUN YUE" ], "a": 27, "ab": 7, "b": 15, "bc": 5, "c": 11, "d": 7, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 79, "source_aliases": [ "MATH 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 331", "course_uid": "course_5d5f3a3f185baf9eaaa98221", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "HYUKPYO HONG" ], "a": 27, "ab": 14, "b": 25, "bc": 2, "c": 18, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 89, "source_aliases": [ "MATH 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 331", "course_uid": "course_5d5f3a3f185baf9eaaa98221", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "HAIXIAO WANG", "HYUKPYO HONG" ], "a": 33, "ab": 16, "b": 30, "bc": 9, "c": 17, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 107, "source_aliases": [ "MATH 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 331", "course_uid": "course_5d5f3a3f185baf9eaaa98221", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "HYUKPYO HONG" ], "a": 54, "ab": 20, "b": 37, "bc": 9, "c": 17, "d": 5, "f": 4, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 146, "source_aliases": [ "MATH 331" ] } ] ``` ### statistics #### gpa 2.992 #### graded 765 #### counts * 244 * 101 * 190 * 55 * 110 * 32 * 33 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_5d5f3a3f185baf9eaaa98221-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_5d5f3a3f185baf9eaaa98221-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_5d5f3a3f185baf9eaaa98221-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_5d5f3a3f185baf9eaaa98221-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_5d5f3a3f185baf9eaaa98221-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_5d5f3a3f185baf9eaaa98221-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_5d5f3a3f185baf9eaaa98221-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_5d5f3a3f185baf9eaaa98221-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_5d5f3a3f185baf9eaaa98221-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_5d5f3a3f185baf9eaaa98221-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 2.992156862745098 #### count 765 #### university ##### size 4935 ##### gpa Percentile 2 ##### count Percentile 86 ##### median Count 151 ##### 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 | 20 | false | | 2.8–3.2 | 396 | true | | 3.2–3.6 | 1446 | false | | 3.6–4.0 | 3073 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 120, "gpaPercentile": 11, "countPercentile": 80, "medianCount": 155.5, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 31, "current": true }, { "range": "3.2–3.6", "count": 23, "current": false }, { "range": "3.6–4.0", "count": 61, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1074 ##### term 1074 ##### gpa 3.0588235294117645 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1082 ##### term 1082 ##### gpa 3.2777777777777777 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1084 ##### term 1084 ##### gpa 2.840909090909091 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1092 ##### term 1092 ##### gpa 2.619047619047619 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1094 ##### term 1094 ##### gpa 2.861111111111111 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1102 ##### term 1102 ##### gpa 2.6333333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1104 ##### term 1104 ##### gpa 1.7115384615384615 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1112 ##### term 1112 ##### gpa 3.0454545454545454 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1114 ##### term 1114 ##### gpa 2.880952380952381 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1122 ##### term 1122 ##### gpa 2.6785714285714284 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1124 ##### term 1124 ##### gpa 3.4285714285714284 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1132 ##### term 1132 ##### gpa 3.0714285714285716 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1134 ##### term 1134 ##### gpa 2.967741935483871 ##### count 31 ##### university ###### size 852 ###### gpa Percentile 13 ###### count Percentile 2 ###### 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 | 30 | false | | 2.8–3.2 | 229 | true | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 60, "countPercentile": 0, "medianCount": 83.5, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.2142857142857144 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1244 ##### term 1244 ##### gpa 3.019230769230769 ##### count 52 ##### university ###### size 1241 ###### gpa Percentile 5 ###### 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 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 31, "countPercentile": 38, "medianCount": 68, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 2.92 ##### count 75 ##### university ###### size 1333 ###### gpa Percentile 2 ###### count Percentile 53 ###### 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 | true | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 12, "countPercentile": 52, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.0898876404494384 ##### count 89 ##### university ###### size 1289 ###### gpa Percentile 7 ###### count Percentile 64 ###### 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 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 34, "countPercentile": 50, "medianCount": 89, "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": 6, "current": false }, { "range": "2.8–3.2", "count": 16, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.1261682242990654 ##### count 107 ##### university ###### size 1320 ###### gpa Percentile 7 ###### count Percentile 69 ###### 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 | true | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 38, "countPercentile": 60, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.1404109589041096 ##### count 146 ##### university ###### size 1283 ###### gpa Percentile 9 ###### count Percentile 80 ###### 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 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 54, "countPercentile": 73, "medianCount": 80, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4935 ###### gpa 3.6473578226690657 ###### top Share 81.0513551166938 ###### count 151 ##### MATH ###### size 120 ###### gpa 3.5020109872044958 ###### top Share 72.58806668622216 ###### count 155.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MATH ###### size 21 ###### gpa 2.878188611674867 ###### top Share 40.4748751710427 ###### count 115 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### MATH ###### size 17 ###### gpa 2.821339129045922 ###### top Share 38.66654769268061 ###### count 133 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.977459424628873 ###### top Share 44.52710820759676 ###### count 88.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### MATH ###### size 19 ###### gpa 2.861322177541941 ###### top Share 40.26350030907326 ###### count 108 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MATH ###### size 27 ###### gpa 2.936619140855453 ###### top Share 42.28372460948232 ###### count 76 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MATH ###### size 23 ###### gpa 2.9531575824731964 ###### top Share 43.549837152646596 ###### count 98 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.9941347625171355 ###### top Share 43.79682105650899 ###### count 87 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MATH ###### size 27 ###### gpa 2.898067749128924 ###### top Share 42.09489165698714 ###### count 103 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MATH ###### size 25 ###### gpa 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1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MATH ###### size 43 ###### gpa 3.2481769276584003 ###### top Share 56.325967864851854 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ## instructor Trends ```json [ { "uid": "instructor_682fdb912c188130e6fcf21f", "name": "HYUKPYO HONG", "count": 296, "terms": [ { "term": "1254", "count": 89, "sections": 1, "gpa": 3.0898876404494384 }, { "term": "1262", "count": 61, "sections": 1, "gpa": 3.0163934426229506 }, { "term": "1264", "count": 146, "sections": 2, "gpa": 3.1404109589041096 } ] }, { "uid": "instructor_8cca9ba687fd51d70fdd3ba1", "name": "YUKUN YUE", "count": 75, "terms": [ { "term": "1252", "count": 75, "sections": 1, "gpa": 2.92 } ] }, { "uid": "instructor_79e0c57b8b4bf6b90536c187", "name": "ALEXANDER FISH", "count": 69, "terms": [ { "term": "1104", "count": 26, "sections": 1, "gpa": 1.7115384615384615 }, { "term": "1112", "count": 22, "sections": 1, "gpa": 3.0454545454545454 }, { "term": "1114", "count": 21, "sections": 1, "gpa": 2.880952380952381 } ] }, { "uid": "instructor_c481c873d1705efea961239c", "name": "YUCHEN LIAO", "count": 52, "terms": [ { "term": "1244", "count": 52, "sections": 1, "gpa": 3.019230769230769 } ] }, { "uid": "instructor_2fcd8ca860c9e8174b0b4bd0", "name": "SHI JIN", "count": 46, "terms": [ { "term": "1082", "count": 18, "sections": 1, "gpa": 3.2777777777777777 }, { "term": "1132", "count": 28, "sections": 1, "gpa": 3.0714285714285716 } ] }, { "uid": "instructor_bfe4af4185f03aa74bee4a38", "name": "HAIXIAO WANG", "count": 46, "terms": [ { "term": "1262", "count": 46, "sections": 1, "gpa": 3.2717391304347827 } ] }, { "uid": "instructor_74c5f2722d98d13de18c1d20", "name": "DAVID ANDERSON", "count": 43, "terms": [ { "term": "1084", "count": 22, "sections": 1, "gpa": 2.840909090909091 }, { "term": "1092", "count": 21, "sections": 1, "gpa": 2.619047619047619 } ] }, { "uid": "instructor_ec22b3679a357165d2295d3a", "name": "SAVERIO SPAGNOLIE", "count": 31, "terms": [ { "term": "1134", "count": 31, "sections": 1, "gpa": 2.967741935483871 } ] }, { "uid": "instructor_41334d3cdcc7ac754da16061", "name": "DONGMING WEI", "count": 18, "terms": [ { "term": "1094", "count": 18, "sections": 1, "gpa": 2.861111111111111 } ] }, { "uid": "instructor_e930b3f6ec9d1140d6f286c3", "name": "SERGUEI DENISSOV", "count": 17, "terms": [ { "term": "1074", "count": 17, "sections": 1, "gpa": 3.0588235294117645 } ] }, { "uid": "instructor_8ed8687c25ad13a5614f751c", "name": "JAMES D KUELBS", "count": 15, "terms": [ { "term": "1072", "count": 15, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_cda4aae4567f70b662d00163", "name": "BENEDEK VALKO", "count": 15, "terms": [ { "term": "1102", "count": 15, "sections": 1, "gpa": 2.6333333333333333 } ] }, { "uid": "instructor_0a9a7c5c9ed52646788c2132", "name": "JUN YIN", "count": 14, "terms": [ { "term": "1122", "count": 14, "sections": 1, "gpa": 2.6785714285714284 } ] }, { "uid": "instructor_61225c0eff5b70a15f7b6618", "name": "ARNOLD W MILLER", "count": 14, "terms": [ { "term": "1124", "count": 14, "sections": 1, "gpa": 3.4285714285714284 } ] }, { "uid": "instructor_a19b17502e85c5e433a5c53f", "name": "SEBASTIEN ROCH", "count": 14, "terms": [ { "term": "1142", "count": 14, "sections": 1, "gpa": 3.2142857142857144 } ] } ] ``` ## following | code | title | | ---------------- | ---------------------------------------------- | | ACTSCI 300 | PROBABILITY FOR ACTUARIES | | ACTSCI 650 | FUNDAMENTALS OF LONG-TERM ACTUARIAL MODELING | | CHEM 361 | MACHINE LEARNING IN CHEMISTRY | | COMPSCI 540 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | | COMPSCI 541 | THEORY & ALGORITHMS FOR DATA SCIENCE | | COMPSCI 566 | INTRODUCTION TO COMPUTER VISION | | COMPSCI 580 | INTELLIGENT ROBOTICS | | ECE/ISYE 570 | ETHICS OF DATA FOR ENGINEERS | | ECON/FINANCE 300 | INTRODUCTION TO FINANCE | | GENBUS 317 | MATHEMATICAL FOUNDATIONS OF BUSINESS ANALYTICS | | OTM 453 | OPERATIONS ANALYTICS | | RMI 655 | RISK FINANCING TECHNIQUES | | RMI 660 | RISK ANALYTICS AND BEHAVIORAL SCIENCE | | STAT 461 | FINANCIAL STATISTICS | ## projection ### target 1272 ### gpa 3.069703254610402 ### grades | grade | percentage | | ----- | ------------------ | | A | 33.716616729206365 | | AB | 13.092064871614614 | | B | 25.77781400693449 | | BC | 6.472585014509604 | | C | 14.58782362338602 | | D | 3.591079689714106 | | F | 2.7620160646347927 | ### source Terms * 1264 * 1262 * 1254 * 1252 * 1244 ### source Count 469 ### same Season false ### historical Range * 2.92 * 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