# MATH 535: Mathematical Methods in Data Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_535) ## 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 baefc877bc65e1e251daa0cc8dbf8881f30aa08657247bc107cb83ba95505d20 ### course id MATH 535 ### course uid course\_85a2851be919e3db46f0fbc1 ### catalog version id f4e313036705cd4762700ba70ae2a2f0bfc253c085821e704bb21c7950ab6f3a ### course number 535 ### subjects * MATH ### title MATHEMATICAL METHODS IN DATA SCIENCE ### description A rigorous introduction to mathematical concepts important for modern data science. Topics include: matrix factorizations, optimization theory and algorithms, probabilistic models, finite Markov chains. Mathematical techniques are motivated by and illustrated on a range of applied problems from machine learning and statistics. ### requirements text (MATH 320,340,341,345, or375) and (STAT/​MATH  309,431,MATH 531, orSTAT 311) and (MATH 322,341,375,421, or467, orCOMP SCI 577), graduate/professional standing, or declared in Mathematics VISP (graduate or undergraduate) ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:025408 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 0f9c08ec751d4f6d7fa09e2bd93af674864dcd94db61398bf3a36cf849936f1a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MATH 535 teaches mathematical methods for data science, including matrix factorizations, optimization, and probabilistic models. ### llm topics * Matrix factorizations * Optimization theory and algorithms * Probabilistic models * Finite Markov chains ### llm skills * Matrix factorization and optimization * Probabilistic modeling and Markov chains * Applied mathematical problem solving ### llm assumed background * Linear algebra and matrix theory * Differential equations and analysis * Probability and statistical theory ### llm search phrases * matrix factorizations data science * optimization algorithms machine learning * probabilistic models Markov chains * mathematical methods statistics ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash ac214f2c9033403cf51f877bffcd9a0740987cb309b1d9cf8913c5ba2fdf4895 #### course id MATH 535 #### current instructors ```json [ { "instructor_uid": "instructor_e9dd6e6897f68e46e794e28a", "message": "No course-specific reviews available", "name": "Thu Le", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3041663", "summary": [] } ] ``` #### difficulty workload Historical reviews of Hanbaek Lyu, Sebastien Roch: Reviewers describe the homework and exams as challenging, with some noting that the course feels like a proof-heavy extension of linear algebra rather than a data science course. ```json { "citations": [ { "instructor_name": "Sebastien Roch", "review_date": "2022-11-14 18:43:13 +0000 UTC", "review_id": "5baaf784dec668003f51e692", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM2ODI4NDY0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Hanbaek Lyu", "review_date": "2023-05-18 03:02:29 +0000 UTC", "review_id": "40e56987a5609337d0e8f1d7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTM3OTUwNzMz", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2024-04-11 21:21:56 +0000 UTC", "review_id": "168c2120a6a814e7641cd631", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM5MTU4Nzc0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Sebastien Roch: Sebastien Roch teaches MATH 535 with mixed results. Some students find his lectures confusing and rigorous, requiring self-study, while others praise his deep understanding and helpfulness. Reviewers disagree on exam difficulty, with some finding them easy and others challenging. ```json { "citations": [ { "instructor_name": "Sebastien Roch", "review_date": "2022-11-14 18:43:13 +0000 UTC", "review_id": "5baaf784dec668003f51e692", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM2ODI4NDY0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2022-11-17 21:32:53 +0000 UTC", "review_id": "23c4b227426e69108725ccc8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM2ODU3OTU0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2024-04-11 21:21:56 +0000 UTC", "review_id": "168c2120a6a814e7641cd631", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM5MTU4Nzc0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2024-04-19 22:18:16 +0000 UTC", "review_id": "8f8d8bf3826e74ad0fac6d73", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM5MjE0MjY5", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2025-05-16 14:45:19 +0000 UTC", "review_id": "1fa0a5a3c282b669cab8cb09", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTQxMzAzMzU4", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for MATH 535 are polarized, with students describing instructors as either confusing and rigorous or helpful and accessible. The course material relies heavily on self-study and specific lecture notes provided by the teaching staff. ```json { "citations": [ { "instructor_name": "Sebastien Roch", "review_date": "2022-11-14 18:43:13 +0000 UTC", "review_id": "5baaf784dec668003f51e692", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM2ODI4NDY0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2022-11-17 21:32:53 +0000 UTC", "review_id": "23c4b227426e69108725ccc8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM2ODU3OTU0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Hanbaek Lyu", "review_date": "2023-05-18 03:02:29 +0000 UTC", "review_id": "40e56987a5609337d0e8f1d7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTM3OTUwNzMz", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" }, { "instructor_name": "Hanbaek Lyu", "review_date": "2023-06-12 05:05:28 +0000 UTC", "review_id": "9445b2ee17053f71d65a7e9f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTM4MDM4NzI0", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2024-04-11 21:21:56 +0000 UTC", "review_id": "168c2120a6a814e7641cd631", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM5MTU4Nzc0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2024-04-19 22:18:16 +0000 UTC", "review_id": "8f8d8bf3826e74ad0fac6d73", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM5MjE0MjY5", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2025-05-16 14:45:19 +0000 UTC", "review_id": "1fa0a5a3c282b669cab8cb09", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTQxMzAzMzU4", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.44 GPA, 63.8% A/AB (n=47 letter grades); Fall 2025: 3.46 GPA, 76.5% A/AB (n=34 letter grades); Spring 2026: 3.87 GPA, 91.3% A/AB (n=46 letter grades). ```json { "citations": [ { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Hanbaek Lyu, Sebastien Roch: Students report that instructors are generally accessible and willing to help, with lecture notes and an online textbook serving as key resources for self-learning and exam preparation. ```json { "citations": [ { "instructor_name": "Sebastien Roch", "review_date": "2022-11-17 21:32:53 +0000 UTC", "review_id": "23c4b227426e69108725ccc8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM2ODU3OTU0", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Hanbaek Lyu", "review_date": "2023-05-18 03:02:29 +0000 UTC", "review_id": "40e56987a5609337d0e8f1d7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTM3OTUwNzMz", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" }, { "instructor_name": "Hanbaek Lyu", "review_date": "2023-06-12 05:05:28 +0000 UTC", "review_id": "9445b2ee17053f71d65a7e9f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTM4MDM4NzI0", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2024-04-19 22:18:16 +0000 UTC", "review_id": "8f8d8bf3826e74ad0fac6d73", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTM5MjE0MjY5", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" }, { "instructor_name": "Sebastien Roch", "review_date": "2025-05-16 14:45:19 +0000 UTC", "review_id": "1fa0a5a3c282b669cab8cb09", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1781624", "source_review_id": "UmF0aW5nLTQxMzAzMzU4", "source_url": "https://www.ratemyprofessors.com/professor/1781624", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history HANBAEK LYU is recorded teaching in Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` SEBASTIEN ROCH is recorded teaching in Spring 2020, Fall 2020, Spring 2022, Fall 2022, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MATH 535", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "source_record": { "entity_id": "f2a74ce5-6372-3b9e-b915-b3d92710a733", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "(MATH 320,340,341,345, or375) and (STAT/MATH 309,431,MATH 531, orSTAT 311) and (MATH 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"prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/THU_LE" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:025408", "course_id": "MATH 535", "course_uid": "course_85a2851be919e3db46f0fbc1", "term_id": "1272", "source_course_id": "025408", "source_subject_id": "600", "title": "Mathematical Methods in Data Science", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21471", "term_id": "1272", "source_section_id": "21471", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 47, "waitlisted": 10, "start_date": "2026-09-02 05:00:00+00:00", "end_date": 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"course_85a2851be919e3db46f0fbc1", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Sebastien Roch" ], "a": 21, "ab": 9, "b": 14, "bc": 0, "c": 2, "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": 47, "source_aliases": [ "MATH 535" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 535", "course_uid": "course_85a2851be919e3db46f0fbc1", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "YUKUN YUE" ], "a": 25, "ab": 1, "b": 2, "bc": 2, "c": 1, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "MATH 535" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 535", "course_uid": "course_85a2851be919e3db46f0fbc1", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "YUKUN YUE" ], "a": 38, "ab": 4, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "MATH 535" ] } ] ``` ### statistics #### gpa 3.497 #### graded 565 #### counts * 324 * 62 * 118 * 18 * 27 * 10 * 6 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_85a2851be919e3db46f0fbc1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_85a2851be919e3db46f0fbc1-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_85a2851be919e3db46f0fbc1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_85a2851be919e3db46f0fbc1-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_85a2851be919e3db46f0fbc1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_85a2851be919e3db46f0fbc1-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_85a2851be919e3db46f0fbc1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_85a2851be919e3db46f0fbc1-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_85a2851be919e3db46f0fbc1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_85a2851be919e3db46f0fbc1-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4973451327433627 #### count 565 #### university ##### size 4688 ##### gpa Percentile 19 ##### count Percentile 84 ##### median Count 135 ##### 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 | 10 | false | | 2.8–3.2 | 217 | false | | 3.2–3.6 | 1120 | true | | 3.6–4.0 | 3341 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 120, "gpaPercentile": 40, "countPercentile": 78, "medianCount": 134, "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": 23, "current": false }, { "range": "3.2–3.6", "count": 32, "current": true }, { "range": "3.6–4.0", "count": 62, "current": false } ] } } ] ``` ### terms #### 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": "MATH", "comparison": { "size": 29, "gpaPercentile": 96, "countPercentile": 25, "medianCount": 83, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.5375 ##### count 40 ##### university ###### size 1111 ###### gpa Percentile 39 ###### count Percentile 19 ###### 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 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 70, "countPercentile": 13, "medianCount": 87, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.872340425531915 ##### count 47 ##### university ###### size 1157 ###### gpa Percentile 81 ###### count Percentile 33 ###### 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": "MATH", "comparison": { "size": 39, "gpaPercentile": 92, "countPercentile": 18, "medianCount": 63, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.4 ##### count 65 ##### university ###### size 1171 ###### gpa Percentile 29 ###### count Percentile 50 ###### 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 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 85, "countPercentile": 36, "medianCount": 87.5, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.45 ##### count 50 ##### university ###### size 1216 ###### gpa Percentile 32 ###### count Percentile 36 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 74, "countPercentile": 38, "medianCount": 69, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.2 ##### count 50 ##### university ###### size 1188 ###### gpa Percentile 14 ###### count Percentile 35 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 50, "countPercentile": 38, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 2.975 ##### count 40 ##### university ###### size 1295 ###### gpa Percentile 4 ###### count Percentile 24 ###### 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 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 17, "countPercentile": 26, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.388888888888889 ##### count 54 ##### university ###### size 1241 ###### gpa Percentile 24 ###### count Percentile 39 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 69, "countPercentile": 40, "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": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.4615384615384617 ##### count 39 ##### university ###### size 1333 ###### gpa Percentile 28 ###### count Percentile 19 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 86, "countPercentile": 14, "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": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.4361702127659575 ##### count 47 ##### university ###### size 1289 ###### gpa Percentile 27 ###### count Percentile 31 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 79, "countPercentile": 21, "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": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.4558823529411766 ##### count 34 ##### university ###### size 1320 ###### gpa Percentile 26 ###### count Percentile 8 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 71, "countPercentile": 12, "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": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.869565217391304 ##### count 46 ##### university ###### size 1283 ###### gpa Percentile 74 ###### count Percentile 30 ###### 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": "MATH", "comparison": { "size": 42, "gpaPercentile": 98, "countPercentile": 27, "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": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4688 ###### gpa 3.708883794386634 ###### top Share 84.87993958326464 ###### count 135 ##### MATH ###### size 120 ###### gpa 3.5607406208146375 ###### top Share 75.46477313160793 ###### count 134 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MATH ###### size 29 ###### gpa 3.478717830475146 ###### top Share 69.61236805388549 ###### count 83 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MATH ###### size 41 ###### gpa 3.3211331103538813 ###### top Share 59.85093623917685 ###### count 87 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MATH ###### size 39 ###### gpa 3.2083447119296955 ###### top Share 56.75007696473496 ###### count 63 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MATH ###### size 34 ###### gpa 3.1555898753466907 ###### top Share 53.444319815085976 ###### count 87.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MATH ###### size 43 ###### gpa 3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ##### 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_a19b17502e85c5e433a5c53f", "name": "SEBASTIEN ROCH", "count": 309, "terms": [ { "term": "1204", "count": 53, "sections": 1, "gpa": 3.8679245283018866 }, { "term": "1212", "count": 40, "sections": 1, "gpa": 3.5375 }, { "term": "1224", "count": 65, "sections": 2, "gpa": 3.4 }, { "term": "1232", "count": 50, "sections": 1, "gpa": 3.45 }, { "term": "1244", "count": 54, "sections": 1, "gpa": 3.388888888888889 }, { "term": "1254", "count": 47, "sections": 1, "gpa": 3.4361702127659575 } ] }, { "uid": "instructor_8cca9ba687fd51d70fdd3ba1", "name": "YUKUN YUE", "count": 80, "terms": [ { "term": "1262", "count": 34, "sections": 1, "gpa": 3.4558823529411766 }, { "term": "1264", "count": 46, "sections": 1, "gpa": 3.869565217391304 } ] }, { "uid": "instructor_11da40ed2a2bb6d06bf52104", "name": "HANBAEK LYU", "count": 50, "terms": [ { "term": "1234", "count": 50, "sections": 1, "gpa": 3.2 } ] }, { "uid": "instructor_1227fa1f8db520a460645e3f", "name": "NAN CHEN", "count": 47, "terms": [ { "term": "1222", "count": 47, "sections": 1, "gpa": 3.872340425531915 } ] }, { "uid": "instructor_5f5c0728fafc65f517fa2cd9", "name": "DAVID CLANCY", "count": 40, "terms": [ { "term": "1242", "count": 40, "sections": 1, "gpa": 2.975 } ] }, { "uid": "instructor_9e5b6a7493f3e81a42d3edf4", "name": "RUHUI JIN", "count": 39, "terms": [ { "term": "1252", "count": 39, "sections": 1, "gpa": 3.4615384615384617 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.41552348895461 ### grades | grade | percentage | | ----- | ------------------ | | A | 61.34238738390524 | | AB | 7.119340021265858 | | B | 14.745450387778167 | | BC | 3.7879685246485364 | | C | 7.255777791657065 | | D | 3.0472812271395573 | | F | 2.701794663605566 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 210 ### same Season true ### historical Range * 2.975 * 3.872340425531915