# COMPSCI/MATH 715: Methods of Computational Mathematics II | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_MATH_715) ## 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 5f764a69e32b1f7ae77333cd179e779bd6c33c88cc4c9f5c9e763c21ba588e34 ### course id COMPSCI/MATH 715 ### course uid course\_9733628a1d0e3fb3799b011e ### catalog version id dc6bfea47d1078ee43a343caf354625e0ad769a890a97164c52e4adae5dde09c ### course number 715 ### subjects * COMPSCI * MATH ### title METHODS OF COMPUTATIONAL MATHEMATICS II ### description Introduction to spectral methods (Fourier, Chebyshev, Fast Fourier Transform), finite element methods (Galerkin methods, energy estimates and error analysis), and mesh-free methods (Monte-Carlo, smoothed-particle hydrodynamics) for solving partial differential equations. Applications from science and engineering. Applications from science and engineering. Students are strongly encouraged to have programming skills (e.g.COMP SCI 200), undergraduate numerical analysis (e.g.MATH/​COMP SCI  514orCOMP SCI 412), analysis (MATH 322and521) and linear algebra (e.g.MATH 341or equiv.) ### requirements text Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id f4a14380e6a5d6cbb31eba3ea6bdb4d9dc742bda47a4b39b91a211ff8ca23649 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to spectral methods ### llm topics * Spectral methods * Finite element methods * Mesh-free methods ### llm skills * Spectral methods * Finite element methods * Mesh-free methods ### llm assumed background * Programming skills * Undergraduate numerical analysis * Mathematical analysis * Linear algebra ### llm search phrases * spectral methods PDE * finite element methods Galerkin * mesh-free methods SPH * computational mathematics graduate ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 683ecf9273f884e35306d1e59e0c7b188139bf1dbf970312b685f45fd6f7bde3 #### course id COMPSCI/MATH 715 #### current instructors None recorded. #### difficulty workload Historical reviews of Maurice Fabien: Assignments are strictly take-home with no in-class pressure, but students must prepare to learn tons of material and meet long prerequisite requirements. ```json { "citations": [ { "instructor_name": "Maurice Fabien", "review_date": "2024-12-14 06:17:32 +0000 UTC", "review_id": "642fc92e59fb309655388482", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTQwMjkyMzU5", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" }, { "instructor_name": "Maurice Fabien", "review_date": "2024-12-14 06:22:49 +0000 UTC", "review_id": "1e8e07eaaeacfb184e959a0f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTQwMjkyNDI2", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Maurice Fabien: Maurice Fabien is described as a lecturer who rewards effort but faces criticism for inconsistent organization and excessive MATLAB review. Reviewers note his monotone delivery and insufficient attention to Finite Element Analysis, though some view the course as fair and challenging. ```json { "citations": [ { "instructor_name": "Maurice Fabien", "review_date": "2023-06-16 17:53:02 +0000 UTC", "review_id": "e399d978586211ae26d892ac", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTM4MDUwNDg5", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" }, { "instructor_name": "Maurice Fabien", "review_date": "2024-12-14 06:17:32 +0000 UTC", "review_id": "642fc92e59fb309655388482", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTQwMjkyMzU5", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" }, { "instructor_name": "Maurice Fabien", "review_date": "2024-12-14 06:22:49 +0000 UTC", "review_id": "1e8e07eaaeacfb184e959a0f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTQwMjkyNDI2", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Maurice Fabien: Maurice Fabien's course is challenging but fair, rewarding significant effort with substantial learning, though his monotone delivery can hinder engagement. ```json { "citations": [ { "instructor_name": "Maurice Fabien", "review_date": "2024-12-14 06:17:32 +0000 UTC", "review_id": "642fc92e59fb309655388482", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTQwMjkyMzU5", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" }, { "instructor_name": "Maurice Fabien", "review_date": "2024-12-14 06:22:49 +0000 UTC", "review_id": "1e8e07eaaeacfb184e959a0f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTQwMjkyNDI2", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.63 GPA, 84.6% A/AB (n=39 letter grades); Spring 2025: 3.72 GPA, 89.2% A/AB (n=37 letter grades); Spring 2026: 3.04 GPA, 33.3% A/AB (n=12 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/MATH 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/MATH 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/MATH 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Maurice Fabien: Reviewers criticize inconsistent organization and excessive MATLAB review, noting Finite Element Analysis is crammed at the end, while others find the take-home format low-pressure. ```json { "citations": [ { "instructor_name": "Maurice Fabien", "review_date": "2023-06-16 17:53:02 +0000 UTC", "review_id": "e399d978586211ae26d892ac", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTM4MDUwNDg5", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" }, { "instructor_name": "Maurice Fabien", "review_date": "2024-12-14 06:17:32 +0000 UTC", "review_id": "642fc92e59fb309655388482", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2789085", "source_review_id": "UmF0aW5nLTQwMjkyMzU5", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history MAURICE FABIEN is recorded teaching in Spring 2023, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "source_record": { "entity_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI/MATH 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "source_record": { "entity_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/MATH 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "source_record": { "entity_id": "264a3613-f476-3f6d-9d2b-dea1e1aec081", "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": [], "condition": "Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program", "course": null, "evidence": "Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_2fcd8ca860c9e8174b0b4bd0", "source": "madgrades", "source_instructor_id": "3127330", "identity_basis": 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"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": 39, "quality": 4.46, "difficulty": 3.64, "quality_count": 39, "difficulty_count": 39, "profile_id": "rmp:2789085", "source_url": "https://www.ratemyprofessors.com/professor/2789085", "match_basis": "exact_name", "observed_at": "2026-09-07 16:19:26.153948+00:00", "courses": { "course_6bc496e4640fd08f71e1b041": { "review_count": 30, "quality": 4.47, "difficulty": 3.87, "quality_count": 30, "difficulty_count": 30 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 6, "quality": 4.5, "difficulty": 2.5, "quality_count": 6, "difficulty_count": 6 }, "course_9733628a1d0e3fb3799b011e": { "review_count": 3, "quality": 4.33, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.188707045270032, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.915, "graded": 727, "counts": [ 256, 55, 153, 43, 139, 58, 23 ], "sections": 7 }, "instructor_url": "/instructors/MAURICE_FABIEN--instructor_6a552410333ca0480b90d171" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "SHI JIN" ], "a": 8, "ab": 2, "b": 1, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "JAMES A ROSSMANITH" ], "a": 7, "ab": 3, "b": 0, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "JAMES A ROSSMANITH" ], "a": 10, "ab": 1, "b": 1, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 15, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "SHI JIN" ], "a": 7, "ab": 4, "b": 2, "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": 13, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "Saverio Spagnolie" ], "a": 12, "ab": 11, "b": 5, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Jean-Luc Thiffeault" ], "a": 17, "ab": 0, "b": 0, "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": 17, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Saverio Spagnolie" ], "a": 17, "ab": 8, "b": 4, "bc": 2, "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": 31, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Qin Li" ], "a": 24, "ab": 9, "b": 2, "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": 35, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Qin Li" ], "a": 17, "ab": 5, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Jean-Luc Thiffeault" ], "a": 37, "ab": 0, "b": 1, "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": 38, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Qin Li" ], "a": 28, "ab": 2, "b": 0, "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": 30, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Qin Li" ], "a": 13, "ab": 5, "b": 0, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Saverio Spagnolie" ], "a": 21, "ab": 6, "b": 5, "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": 32, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Maurice Fabien" ], "a": 28, "ab": 4, "b": 0, "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": 32, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Maurice Fabien" ], "a": 30, "ab": 3, "b": 2, "bc": 2, "c": 0, "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": 39, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Maurice Fabien" ], "a": 32, "ab": 1, "b": 2, "bc": 0, "c": 0, "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": 37, "source_aliases": [ "COMPSCI/MATH 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 715", "course_uid": "course_9733628a1d0e3fb3799b011e", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Saverio Spagnolie" ], "a": 3, "ab": 1, "b": 3, "bc": 4, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 13, "source_aliases": [ "COMPSCI/MATH 715" ] } ] ``` ### statistics #### gpa 3.756 #### graded 426 #### counts * 311 * 65 * 31 * 11 * 4 * 0 * 4 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_9733628a1d0e3fb3799b011e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_9733628a1d0e3fb3799b011e-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_9733628a1d0e3fb3799b011e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_9733628a1d0e3fb3799b011e-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_9733628a1d0e3fb3799b011e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_9733628a1d0e3fb3799b011e-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_9733628a1d0e3fb3799b011e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_9733628a1d0e3fb3799b011e-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.755868544600939 #### count 426 #### university ##### size 4212 ##### gpa Percentile 55 ##### count Percentile 74 ##### median Count 163 ##### 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 | 11 | false | | 2.8–3.2 | 307 | false | | 3.2–3.6 | 1180 | false | | 3.6–4.0 | 2714 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 93, "gpaPercentile": 67, "countPercentile": 53, "medianCount": 379, "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": 14, "current": false }, { "range": "3.2–3.6", "count": 31, "current": false }, { "range": "3.6–4.0", "count": 48, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 102, "gpaPercentile": 62, "countPercentile": 69, "medianCount": 207.5, "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": 6, "current": false }, { "range": "2.8–3.2", "count": 26, "current": false }, { "range": "3.2–3.6", "count": 22, "current": false }, { "range": "3.6–4.0", "count": 48, "current": true } ] } } ] ``` ### terms #### 1084 ##### term 1084 ##### gpa 3.6666666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1094 ##### term 1094 ##### gpa 3.727272727272727 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1104 ##### term 1104 ##### gpa 3.642857142857143 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1114 ##### term 1114 ##### gpa 3.6923076923076925 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1134 ##### term 1134 ##### gpa 3.5689655172413794 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1144 ##### term 1144 ##### gpa 4 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1154 ##### term 1154 ##### gpa 3.6451612903225805 ##### count 31 ##### university ###### size 935 ###### gpa Percentile 69 ###### count Percentile 2 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 80, "countPercentile": 3, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 97, "countPercentile": 3, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 10, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.8142857142857145 ##### count 35 ##### university ###### size 965 ###### gpa Percentile 78 ###### count Percentile 10 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 32, "gpaPercentile": 94, "countPercentile": 6, "medianCount": 84, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 94, "countPercentile": 6, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 10, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.78 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1184 ##### term 1184 ##### gpa 3.973684210526316 ##### count 38 ##### university ###### size 1010 ###### gpa Percentile 94 ###### count Percentile 16 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 100, "countPercentile": 7, "medianCount": 126, "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": 15, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 97, "countPercentile": 20, "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": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.966666666666667 ##### count 30 ##### university ###### size 1040 ###### gpa Percentile 92 ###### count Percentile 0 ###### 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 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 97, "countPercentile": 0, "medianCount": 92, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 38, "gpaPercentile": 95, "countPercentile": 0, "medianCount": 71.5, "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": 6, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.789473684210526 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1224 ##### term 1224 ##### gpa 3.75 ##### count 32 ##### university ###### size 1171 ###### gpa Percentile 63 ###### count Percentile 7 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 73, "countPercentile": 2, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 91, "countPercentile": 0, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.9375 ##### count 32 ##### university ###### size 1188 ###### gpa Percentile 87 ###### count Percentile 5 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 93, "countPercentile": 2, "medianCount": 111, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 95, "countPercentile": 3, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.628205128205128 ##### count 39 ##### university ###### size 1241 ###### gpa Percentile 46 ###### count Percentile 20 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 62, "countPercentile": 9, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 83, "countPercentile": 19, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.7162162162162162 ##### count 37 ##### university ###### size 1289 ###### gpa Percentile 54 ###### count Percentile 15 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 76, "countPercentile": 10, "medianCount": 105, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 95, "countPercentile": 11, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.0416666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | ### benchmarks #### all ##### school ###### size 4212 ###### gpa 3.662789733937894 ###### top Share 82.09479593180995 ###### count 163 ##### COMPSCI ###### size 93 ###### gpa 3.5678366313445755 ###### top Share 77.27002599455118 ###### count 379 ##### MATH ###### size 102 ###### gpa 3.489085512130986 ###### top Share 72.15982748594621 ###### count 207.5 #### terms ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### COMPSCI ###### size 14 ###### gpa 3.144553029581605 ###### top Share 50.3940565180559 ###### count 59 ###### MATH ###### size 22 ###### gpa 2.977459424628873 ###### top Share 44.52710820759676 ###### count 88.5 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### COMPSCI ###### size 16 ###### gpa 3.1364214252215854 ###### top Share 48.56845161086566 ###### count 72 ###### MATH ###### size 19 ###### gpa 2.861322177541941 ###### top Share 40.26350030907326 ###### count 108 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.200534462173063 ###### top Share 56.78409435721555 ###### count 51.5 ###### MATH ###### size 23 ###### gpa 2.9531575824731964 ###### top Share 43.549837152646596 ###### count 98 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### COMPSCI ###### size 18 ###### gpa 3.266230341473234 ###### top Share 59.94733477037724 ###### count 58 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.2424086213492718 ###### top Share 59.28222765244668 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.938004331770204 ###### top Share 42.318323348030226 ###### count 83.5 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### COMPSCI ###### size 26 ###### gpa 3.263233863996996 ###### top Share 58.711877593449 ###### count 70.5 ###### MATH ###### size 30 ###### gpa 2.926152797086596 ###### top Share 42.17363619414386 ###### count 79 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### COMPSCI ###### size 31 ###### gpa 3.3515611477246905 ###### top Share 66.93977839039297 ###### count 63 ###### MATH ###### size 33 ###### gpa 2.9834698949629033 ###### top Share 46.71989715257013 ###### count 69 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### COMPSCI ###### size 32 ###### gpa 3.2951719476979457 ###### top Share 63.07751525075427 ###### count 84 ###### MATH ###### size 32 ###### gpa 2.995223360849456 ###### top Share 46.38098813836469 ###### count 83 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### COMPSCI ###### size 30 ###### gpa 3.3383019285046376 ###### top Share 63.22952984555728 ###### count 108 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### COMPSCI ###### size 31 ###### gpa 3.329310414227759 ###### top Share 61.243618316797935 ###### count 126 ###### MATH ###### size 36 ###### gpa 3.0650838986714333 ###### top Share 47.42689290604571 ###### count 83.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ###### MATH ###### size 38 ###### gpa 3.133406260873163 ###### top Share 53.17595010634325 ###### count 71.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ###### MATH ###### size 29 ###### gpa 3.478717830475146 ###### top Share 69.61236805388549 ###### count 83 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### COMPSCI ###### size 45 ###### gpa 3.4719336884851772 ###### top Share 70.89188483398956 ###### count 96 ###### MATH ###### size 34 ###### gpa 3.1555898753466907 ###### top Share 53.444319815085976 ###### count 87.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.457340982461054 ###### top Share 70.00975704504911 ###### count 111 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.477413782571094 ###### top Share 70.8725394264854 ###### count 116 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMPSCI ###### size 52 ###### gpa 3.482652727664103 ###### top Share 71.33786483648515 ###### count 105 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMPSCI ###### size 48 ###### gpa 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ## instructor Trends ```json [ { "uid": "instructor_6cee1ae6c2c6ae042c8870e4", "name": "QIN LI", "count": 109, "terms": [ { "term": "1164", "count": 35, "sections": 1, "gpa": 3.8142857142857145 }, { "term": "1174", "count": 25, "sections": 1, "gpa": 3.78 }, { "term": "1194", "count": 30, "sections": 1, "gpa": 3.966666666666667 }, { "term": "1204", "count": 19, "sections": 1, "gpa": 3.789473684210526 } ] }, { "uid": "instructor_6a552410333ca0480b90d171", "name": "MAURICE FABIEN", "count": 108, "terms": [ { "term": "1234", "count": 32, "sections": 1, "gpa": 3.9375 }, { "term": "1244", "count": 39, "sections": 1, "gpa": 3.628205128205128 }, { "term": "1254", "count": 37, "sections": 1, "gpa": 3.7162162162162162 } ] }, { "uid": "instructor_ec22b3679a357165d2295d3a", "name": "SAVERIO SPAGNOLIE", "count": 104, "terms": [ { "term": "1134", "count": 29, "sections": 1, "gpa": 3.5689655172413794 }, { 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