# COMPSCI/MATH 714: Methods of Computational Mathematics I | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_MATH_714) ## 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 733e813ba303a1223b6cf419ff98b21f431ccd46228be698d3e1debd45bb0f2d ### course id COMPSCI/MATH 714 ### course uid course\_346ab4e00def5d21d922d818 ### catalog version id 1c6cd910d831467f97fdca4564962ef9d187b79e4ea6ac4139d27799d5b13ca1 ### course number 714 ### subjects * COMPSCI * MATH ### title METHODS OF COMPUTATIONAL MATHEMATICS I ### description Development of finite difference methods for hyperbolic, parabolic and elliptic partial differential equations. Analysis of accuracy and stability of difference schemes. Direct and iterative methods for solving linear systems. Introduction to finite volume methods. Applications from science and engineering. Students are strongly encouraged to have programming skills (e.g.COMP SCI 200) and some undergraduate numerical analysis (e.g.MATH/​COMP SCI  514orCOMP SCI 412), analysis and differential equations (e.g.MATH 322andMATH 521) and linear algebra (e.g.MATH 341). ### requirements text Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:022940 * 1272:600:022940 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id 580b5d506235b1af3e4f81621d92069e2343a103dee85cdcbf780d1490847428 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Methods of Computational Mathematics I covers finite difference and volume methods for PDEs, analyzing accuracy and stability, and solving linear systems. ### llm topics * Finite difference methods for PDEs * Accuracy and stability analysis * Linear system solvers * Finite volume methods ### llm skills * Development of finite difference methods * Analysis of accuracy and stability * Direct and iterative methods for linear systems * Introduction to finite volume methods ### llm assumed background * Programming skills (e.g. COMP SCI 200) * Undergraduate numerical analysis (e.g. MATH/COMP SCI 514 or COMP SCI 412) * Differential equations (e.g. MATH 322) * Analysis (e.g. MATH 521) * Linear algebra (e.g. MATH 341) ### llm search phrases * finite difference methods * hyperbolic parabolic elliptic PDEs * numerical analysis graduate * stability difference schemes * finite volume methods ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash b6d3dd4ba4b3ca8d401a8f5c9b18dc8c865ea8d1e275f2955ffc6d1ebb7e7bd1 #### course id COMPSCI/MATH 714 #### current instructors ```json [ { "instructor_uid": "instructor_f4e74e07ce1d40bc1a7b1e58", "message": "No course-specific reviews available", "name": "Yue Sun", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.50 GPA, 75.0% A/AB (n=28 letter grades)." } ] } ] ``` #### difficulty workload One historical review describes the load as not heavy, while others do not specify workload intensity. ```json { "citations": [ { "instructor_name": "Nan Chen", "review_date": "2020-05-03 21:18:32 +0000 UTC", "review_id": "0c0fc1cb361c3c5d3f6235e8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2402431", "source_review_id": "UmF0aW5nLTMzMTkwNzMz", "source_url": "https://www.ratemyprofessors.com/professor/2402431", "type": "review" } ] } ``` #### errors None recorded. #### historical context Julie Mitchell's historical sections utilized helpful computer simulations and class projects to support student learning. ```json { "citations": [ { "instructor_name": "Julie Mitchell", "review_date": "2008-12-07 15:05:59 +0000 UTC", "review_id": "ba5b734714215bcea0947b01", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262305", "source_review_id": "UmF0aW5nLTE1MTI0MTE2", "source_url": "https://www.ratemyprofessors.com/professor/262305", "type": "review" }, { "instructor_name": "Julie Mitchell", "review_date": "2008-12-17 22:32:13 +0000 UTC", "review_id": "74eec88a0c501257748a5bdf", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262305", "source_review_id": "UmF0aW5nLTE1MjI4NDc1", "source_url": "https://www.ratemyprofessors.com/professor/262305", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Reviews for historical instructors are mixed, ranging from high praise for helpful simulations and clear lectures to criticism of average performance and exclusionary teaching styles. ```json { "citations": [ { "instructor_name": "Julie Mitchell", "review_date": "2008-12-07 15:05:59 +0000 UTC", "review_id": "ba5b734714215bcea0947b01", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262305", "source_review_id": "UmF0aW5nLTE1MTI0MTE2", "source_url": "https://www.ratemyprofessors.com/professor/262305", "type": "review" }, { "instructor_name": "Julie Mitchell", "review_date": "2008-12-17 22:32:13 +0000 UTC", "review_id": "74eec88a0c501257748a5bdf", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262305", "source_review_id": "UmF0aW5nLTE1MjI4NDc1", "source_url": "https://www.ratemyprofessors.com/professor/262305", "type": "review" }, { "instructor_name": "Samuel Stechmann", "review_date": "2014-12-18 12:00:48 +0000 UTC", "review_id": "2a1a4af66819dcd46fce0f29", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1671306", "source_review_id": "UmF0aW5nLTI0MTMyMDY1", "source_url": "https://www.ratemyprofessors.com/professor/1671306", "type": "review" }, { "instructor_name": "Nan Chen", "review_date": "2020-05-03 21:18:32 +0000 UTC", "review_id": "0c0fc1cb361c3c5d3f6235e8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2402431", "source_review_id": "UmF0aW5nLTMzMTkwNzMz", "source_url": "https://www.ratemyprofessors.com/professor/2402431", "type": "review" }, { "instructor_name": "Chris Rycroft", "review_date": "2024-12-24 21:31:55 +0000 UTC", "review_id": "daea1916e3b8a361cc0b8bd8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2868294", "source_review_id": "UmF0aW5nLTQwNDMyNTI1", "source_url": "https://www.ratemyprofessors.com/professor/2868294", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.79 GPA, 84.8% A/AB (n=33 letter grades); Fall 2024: 3.46 GPA, 67.9% A/AB (n=28 letter grades); Fall 2025: 3.50 GPA, 75.0% A/AB (n=28 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Computer simulations and class projects were reported as helpful learning tools by students of historical instructor Julie Mitchell. ```json { "citations": [ { "instructor_name": "Julie Mitchell", "review_date": "2008-12-07 15:05:59 +0000 UTC", "review_id": "ba5b734714215bcea0947b01", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262305", "source_review_id": "UmF0aW5nLTE1MTI0MTE2", "source_url": "https://www.ratemyprofessors.com/professor/262305", "type": "review" }, { "instructor_name": "Julie Mitchell", "review_date": "2008-12-17 22:32:13 +0000 UTC", "review_id": "74eec88a0c501257748a5bdf", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262305", "source_review_id": "UmF0aW5nLTE1MjI4NDc1", "source_url": "https://www.ratemyprofessors.com/professor/262305", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history CHRIS RYCROFT is recorded teaching in Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` JULIE MITCHELL is recorded teaching in Fall 2008. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" } ] } ``` NAN CHEN is recorded teaching in Fall 2018. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" } ] } ``` SAMUEL STECHMANN is recorded teaching in Spring 2012, Fall 2014, Fall 2019, Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` YUE SUN is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 714", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "source_record": { "entity_id": "7f74f41f-f676-31d2-91ac-0b3d3bcc2f1c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "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 | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------- | ----------------- | -------------------------------- | -------------------------------- | --------------------- | | instructor\_f4e74e07ce1d40bc1a7b1e58 | enrollment | sun377 | netid | source\_identified | Yue Sun | YUE.SUN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/YUE\_SUN | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:022940", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1272", "source_course_id": "022940", "source_subject_id": "266", "title": "Methods of Computational Mathematics I", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:022940", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1272", "source_course_id": "022940", "source_subject_id": "600", "title": "Methods of Computational Mathematics I", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:15815", "term_id": "1272", "source_section_id": "15815", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 42, "enrolled": 8, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:15781", "term_id": "1272", "source_section_id": "15781", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 42, "enrolled": 32, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_2fcd8ca860c9e8174b0b4bd0", "source": "madgrades", "source_instructor_id": "3127330", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHI JIN", "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": 18, "quality": 2.89, "difficulty": 3.39, "quality_count": 18, "difficulty_count": 18, "profile_id": "rmp:512492", "source_url": "https://www.ratemyprofessors.com/professor/512492", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:49.688787+00:00", "courses": { "course_a04e8d794b24e3b81b984774": { "review_count": 3, "quality": 1.67, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 }, "course_6bc496e4640fd08f71e1b041": { "review_count": 5, "quality": 3.4, "difficulty": 3.6, "quality_count": 5, "difficulty_count": 5 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 4, "quality": 3.25, "difficulty": 3.5, "quality_count": 4, "difficulty_count": 4 }, "course_9b0dc1865ea603eb0083bc33": { "review_count": 4, "quality": 2.5, "difficulty": 3.5, "quality_count": 4, "difficulty_count": 4 }, "course_5d5f3a3f185baf9eaaa98221": { "review_count": 1, "quality": 2, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.295097780813998, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.135, "graded": 917, "counts": [ 322, 171, 169, 92, 101, 49, 13 ], "sections": 43 }, "instructor_url": "/instructors/SHI_JIN" }, { "instructor_uid": "instructor_c278ed22113dfc58fa043ecf", "source": "madgrades", "source_instructor_id": "3675576", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JULIE MITCHELL", "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": 76, "quality": 3.67, "difficulty": 2.84, "quality_count": 76, "difficulty_count": 76, "profile_id": "rmp:262305", "source_url": "https://www.ratemyprofessors.com/professor/262305", "match_basis": "exact_name", "observed_at": "2026-09-07 16:29:34.639155+00:00", "courses": { "course_8634dde81cc95f6c58014087": { "review_count": 43, "quality": 3.47, "difficulty": 2.7, "quality_count": 43, "difficulty_count": 43 }, "course_346ab4e00def5d21d922d818": { "review_count": 2, "quality": 4.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_3b14f667f980624c1f5bde67": { "review_count": 9, "quality": 4.44, "difficulty": 3, "quality_count": 9, "difficulty_count": 9 }, "course_cc1de60e9953cdd9c469e9a5": { "review_count": 5, "quality": 4.2, "difficulty": 2.8, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.6678512049055407, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.134, "graded": 1069, "counts": [ 340, 218, 224, 142, 83, 34, 28 ], "sections": 58 }, "instructor_url": "/instructors/JULIE_MITCHELL--instructor_c278ed22113dfc58fa043ecf" }, { "instructor_uid": "instructor_948a42af0cbdec970eeadf81", "source": "madgrades", "source_instructor_id": "3998956", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAMES A ROSSMANITH", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 2.812, "graded": 820, "counts": [ 202, 110, 172, 93, 153, 58, 32 ], "sections": 26 }, "instructor_url": "/instructors/JAMES_A_ROSSMANITH--instructor_948a42af0cbdec970eeadf81" }, { "instructor_uid": "instructor_7c85ea0ab8f43c8d7efd3b8c", "source": "madgrades", "source_instructor_id": "2600043", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL MILEWSKI", "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": 29, "quality": 4.48, "difficulty": 3.1, "quality_count": 29, "difficulty_count": 29, "profile_id": "rmp:129393", "source_url": "https://www.ratemyprofessors.com/professor/129393", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:23.913090+00:00", "courses": { "course_6bc496e4640fd08f71e1b041": { "review_count": 5, "quality": 4.2, "difficulty": 3.8, "quality_count": 5, "difficulty_count": 5 }, "course_8634dde81cc95f6c58014087": { "review_count": 13, "quality": 4.85, "difficulty": 3, "quality_count": 13, "difficulty_count": 13 }, "course_64d13a0af427315fce8f2740": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_cc1de60e9953cdd9c469e9a5": { "review_count": 3, "quality": 4.33, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.1451778708353455, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.762, "graded": 1001, "counts": [ 167, 126, 258, 172, 197, 58, 23 ], "sections": 17 }, "instructor_url": "/instructors/PAUL_MILEWSKI--instructor_7c85ea0ab8f43c8d7efd3b8c" }, { "instructor_uid": "instructor_e8033b131444ac21313c075f", "source": "madgrades", "source_instructor_id": "4752238", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SAMUEL STECHMANN", "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": 31, "quality": 3.97, "difficulty": 3.52, "quality_count": 31, "difficulty_count": 31, "profile_id": "rmp:1671306", "source_url": "https://www.ratemyprofessors.com/professor/1671306", "match_basis": "exact_name", "observed_at": "2026-09-07 16:07:33.913921+00:00", "courses": { "course_6bc496e4640fd08f71e1b041": { "review_count": 18, "quality": 3.89, "difficulty": 3.72, "quality_count": 18, "difficulty_count": 18 }, "course_2d244e0d230263518e578140": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_82c0e2f81301acacf0a46a15": { "review_count": 4, "quality": 4.25, "difficulty": 3.75, "quality_count": 4, "difficulty_count": 4 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 2, "quality": 4.5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 3, "quality": 4, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 }, "course_346ab4e00def5d21d922d818": { "review_count": 1, "quality": 5, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.8483081504104293, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.978, "graded": 1527, "counts": [ 490, 177, 383, 117, 213, 100, 47 ], "sections": 53 }, "instructor_url": "/instructors/SAMUEL_STECHMANN--instructor_e8033b131444ac21313c075f" }, { "instructor_uid": "instructor_6cee1ae6c2c6ae042c8870e4", "source": "madgrades", "source_instructor_id": "4433347", "identity_basis": "source_id", "identity_status": "source_identified", "name": "QIN LI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 28, "quality": 3.79, "difficulty": 3.11, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:2059558", "source_url": "https://www.ratemyprofessors.com/professor/2059558", "match_basis": "exact_name", "observed_at": "2026-09-07 16:11:25.404917+00:00", "courses": { "course_cc1de60e9953cdd9c469e9a5": { "review_count": 6, "quality": 3.17, "difficulty": 2.83, "quality_count": 6, "difficulty_count": 6 }, "course_f237678d9fac59631b4aa4ff": { "review_count": 6, "quality": 5, "difficulty": 3.5, "quality_count": 6, "difficulty_count": 6 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 16, "quality": 3.56, "difficulty": 3.06, "quality_count": 16, "difficulty_count": 16 } }, "bayesian_quality": 3.7357024098110814, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.072, "graded": 1421, "counts": [ 489, 237, 270, 133, 178, 82, 32 ], "sections": 44 }, "instructor_url": "/instructors/QIN_LI--instructor_6cee1ae6c2c6ae042c8870e4" }, { "instructor_uid": "instructor_1227fa1f8db520a460645e3f", "source": "madgrades", "source_instructor_id": "4891217", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NAN CHEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 29, "quality": 4.59, "difficulty": 3.1, "quality_count": 29, "difficulty_count": 29, "profile_id": "rmp:2402431", "source_url": "https://www.ratemyprofessors.com/professor/2402431", "match_basis": "exact_name", "observed_at": "2026-09-07 16:14:47.792861+00:00", "courses": { "course_6bc496e4640fd08f71e1b041": { "review_count": 3, "quality": 3.67, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 }, "course_346ab4e00def5d21d922d818": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_8634dde81cc95f6c58014087": { "review_count": 21, "quality": 4.86, "difficulty": 2.95, "quality_count": 21, "difficulty_count": 21 } }, "bayesian_quality": 4.210279911651671, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.633, "graded": 654, "counts": [ 452, 76, 58, 32, 19, 10, 7 ], "sections": 32 }, "instructor_url": "/instructors/NAN_CHEN--instructor_1227fa1f8db520a460645e3f" }, { "instructor_uid": "instructor_e7ab245ec457d24e97836493", "source": "madgrades", "source_instructor_id": "6242471", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LEONARDO ZEPEDA-NUNEZ", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.467, "graded": 107, "counts": [ 76, 6, 10, 0, 6, 4, 5 ], "sections": 5 }, "instructor_url": "/instructors/LEONARDO_ZEPEDA-NUNEZ--instructor_e7ab245ec457d24e97836493" }, { "instructor_uid": "instructor_1afc370e7c2e6fa6c62774f8", "source": "madgrades", "source_instructor_id": "6489861", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRIS RYCROFT", "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": 17, "quality": 2.65, "difficulty": 3.76, "quality_count": 17, "difficulty_count": 17, "profile_id": "rmp:2868294", "source_url": "https://www.ratemyprofessors.com/professor/2868294", "match_basis": "exact_name", "observed_at": "2026-09-07 16:48:45.018638+00:00", "courses": { "course_364c50303ed83d1234b4ea51": { "review_count": 9, "quality": 2.67, "difficulty": 3.78, "quality_count": 9, "difficulty_count": 9 }, "course_f237678d9fac59631b4aa4ff": { "review_count": 7, "quality": 2.71, "difficulty": 3.71, "quality_count": 7, "difficulty_count": 7 }, "course_346ab4e00def5d21d922d818": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.1957760992143758, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.212, "graded": 205, "counts": [ 93, 25, 36, 20, 18, 5, 8 ], "sections": 12 }, "instructor_url": "/instructors/CHRIS_RYCROFT--instructor_1afc370e7c2e6fa6c62774f8" }, { "instructor_uid": "instructor_b28e3372b880f201c25b54a0", "source": "madgrades", "source_instructor_id": "6286192", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUE SUN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.181, "graded": 91, "counts": [ 37, 21, 6, 8, 12, 6, 1 ], "sections": 2 }, "instructor_url": "/instructors/YUE_SUN--instructor_b28e3372b880f201c25b54a0" }, { "instructor_uid": "instructor_f4e74e07ce1d40bc1a7b1e58", "source": "enrollment", "source_instructor_id": "sun377", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yue Sun", "email": "YUE.SUN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/YUE_SUN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "SHI JIN" ], "a": 13, "ab": 1, "b": 6, "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": 20, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "JULIE MITCHELL" ], "a": 6, "ab": 0, "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": 8, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "JAMES A ROSSMANITH" ], "a": 16, "ab": 3, "b": 4, "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": 26, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "PAUL MILEWSKI" ], "a": 10, "ab": 3, "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": 1, "other": 0, "total": 19, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "SAMUEL STECHMANN" ], "a": 5, "ab": 2, "b": 2, "bc": 0, "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": 10, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "SHI JIN" ], "a": 14, "ab": 4, "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": 1, "other": 0, "total": 22, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "SHI JIN" ], "a": 20, "ab": 6, "b": 5, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 33, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "SAMUEL STECHMANN" ], "a": 38, "ab": 0, "b": 4, "bc": 0, "c": 0, "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": 43, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "SHI JIN" ], "a": 22, "ab": 18, "b": 5, "bc": 2, "c": 3, "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": 50, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "SHI JIN" ], "a": 22, "ab": 9, "b": 8, "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": 40, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Qin Li" ], "a": 18, "ab": 10, "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": 30, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Nan Chen" ], "a": 56, "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": 56, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "SAMUEL STECHMANN" ], "a": 31, "ab": 6, "b": 3, "bc": 2, "c": 0, "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": 43, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "LEONARDO ZEPEDA-NUNEZ" ], "a": 14, "ab": 0, "b": 2, "bc": 0, "c": 1, "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": 19, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "LEONARDO ZEPEDA-NUNEZ" ], "a": 21, "ab": 0, "b": 3, "bc": 0, "c": 2, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "SAMUEL STECHMANN" ], "a": 32, "ab": 1, "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": 34, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Chris Rycroft" ], "a": 24, "ab": 4, "b": 5, "bc": 0, "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": 34, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Chris Rycroft" ], "a": 16, "ab": 3, "b": 5, "bc": 3, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "COMPSCI/MATH 714" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 714", "course_uid": "course_346ab4e00def5d21d922d818", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Yue Sun" ], "a": 15, "ab": 6, "b": 3, "bc": 0, "c": 4, "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": 29, "source_aliases": [ "COMPSCI/MATH 714" ] } ] ``` ### statistics #### gpa 3.71 #### graded 562 #### counts * 393 * 76 * 68 * 8 * 11 * 1 * 5 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_346ab4e00def5d21d922d818-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_346ab4e00def5d21d922d818-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_346ab4e00def5d21d922d818-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_346ab4e00def5d21d922d818-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_346ab4e00def5d21d922d818-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_346ab4e00def5d21d922d818-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_346ab4e00def5d21d922d818-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_346ab4e00def5d21d922d818-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_346ab4e00def5d21d922d818-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_346ab4e00def5d21d922d818-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.709964412811388 #### count 562 #### university ##### size 4294 ##### gpa Percentile 50 ##### count Percentile 77 ##### median Count 175 ##### 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 | 18 | false | | 2.8–3.2 | 356 | false | | 3.2–3.6 | 1250 | false | | 3.6–4.0 | 2669 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 98, "gpaPercentile": 59, "countPercentile": 61, "medianCount": 423, "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": 31, "current": false }, { "range": "3.6–4.0", "count": 52, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 98, "gpaPercentile": 56, "countPercentile": 67, "medianCount": 282.5, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 33, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 46, "current": true } ] } } ] ``` ### terms #### 1082 ##### term 1082 ##### gpa 3.675 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1092 ##### term 1092 ##### gpa 3.75 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1102 ##### term 1102 ##### gpa 3.6875 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1112 ##### term 1112 ##### gpa 3.638888888888889 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1124 ##### term 1124 ##### gpa 3.6666666666666665 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1132 ##### term 1132 ##### gpa 3.761904761904762 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1142 ##### term 1142 ##### gpa 3.625 ##### count 32 ##### university ###### size 853 ###### gpa Percentile 70 ###### count Percentile 3 ###### 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 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 28, "gpaPercentile": 89, "countPercentile": 4, "medianCount": 47.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 31, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 77, "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": 8, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.9047619047619047 ##### count 42 ##### university ###### size 918 ###### gpa Percentile 91 ###### count Percentile 23 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 97, "countPercentile": 31, "medianCount": 48.5, "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": 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": 8, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 97, "countPercentile": 15, "medianCount": 82, "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": 15, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.54 ##### count 50 ##### university ###### size 954 ###### gpa Percentile 57 ###### count Percentile 36 ###### median Count 64.5 ###### 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 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 35, "gpaPercentile": 68, "countPercentile": 41, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 86, "countPercentile": 31, "medianCount": 74.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 20, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.65 ##### count 40 ##### university ###### size 991 ###### gpa Percentile 65 ###### count Percentile 21 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 73, "countPercentile": 3, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 97, "countPercentile": 14, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 21, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.7666666666666666 ##### count 30 ##### university ###### size 1025 ###### gpa Percentile 75 ###### count Percentile 0 ###### 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 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 36, "gpaPercentile": 74, "countPercentile": 0, "medianCount": 90.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 94, "countPercentile": 0, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 21, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 4 ##### count 56 ##### university ###### size 1077 ###### gpa Percentile 97 ###### count Percentile 40 ###### 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 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 97, "countPercentile": 27, "medianCount": 95.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 97, "countPercentile": 18, "medianCount": 99, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.7857142857142856 ##### count 42 ##### university ###### size 1102 ###### gpa Percentile 74 ###### count Percentile 24 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 41, "gpaPercentile": 80, "countPercentile": 15, "medianCount": 91, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 40, "gpaPercentile": 95, "countPercentile": 21, "medianCount": 90.5, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.3684210526315788 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1222 ##### term 1222 ##### gpa 3.5 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1232 ##### term 1232 ##### gpa 3.9558823529411766 ##### count 34 ##### university ###### size 1216 ###### gpa Percentile 90 ###### count Percentile 10 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 50, "gpaPercentile": 94, "countPercentile": 2, "medianCount": 82.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 90, "countPercentile": 12, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.787878787878788 ##### count 33 ##### university ###### size 1295 ###### gpa Percentile 66 ###### count Percentile 9 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 71, "countPercentile": 8, "medianCount": 99, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 20, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 88, "countPercentile": 10, "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": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.4642857142857144 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1262 ##### term 1262 ##### gpa 3.5 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | ### benchmarks #### all ##### school ###### size 4294 ###### gpa 3.6479392625999707 ###### top Share 81.13942971009035 ###### count 175 ##### COMPSCI ###### size 98 ###### gpa 3.5698373758632704 ###### top Share 77.66367999484973 ###### count 423 ##### MATH ###### size 98 ###### gpa 3.500718679449102 ###### top Share 72.30662636039737 ###### count 282.5 #### terms ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### COMPSCI ###### size 15 ###### gpa 3.146224995259422 ###### top Share 51.28801425895212 ###### count 49 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### COMPSCI ###### size 16 ###### gpa 3.14888347660136 ###### top Share 52.49548911325188 ###### count 66.5 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### COMPSCI ###### size 19 ###### gpa 3.1851402069816737 ###### top Share 53.3667497934056 ###### count 61 ###### MATH ###### size 27 ###### gpa 2.936619140855453 ###### top Share 42.28372460948232 ###### count 76 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### COMPSCI ###### size 27 ###### gpa 3.2907039795974518 ###### top Share 61.485726181424475 ###### count 41 ###### MATH ###### size 26 ###### gpa 2.9941347625171355 ###### top Share 43.79682105650899 ###### count 87 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### COMPSCI ###### size 22 ###### gpa 3.1674244675767893 ###### top Share 54.635052791099376 ###### count 59 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### COMPSCI ###### size 23 ###### gpa 3.2325357852525465 ###### top Share 57.33650851473996 ###### count 56 ###### MATH ###### size 25 ###### gpa 2.9605395515107897 ###### top Share 42.794601137643824 ###### count 108 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### COMPSCI ###### size 28 ###### gpa 3.279575360328891 ###### top Share 60.13197427273153 ###### count 47.5 ###### MATH ###### size 31 ###### gpa 3.009040780059457 ###### top Share 45.87481076818359 ###### count 77 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### COMPSCI ###### size 30 ###### gpa 3.3169698368361287 ###### top Share 64.20051564737066 ###### count 48.5 ###### MATH ###### size 34 ###### gpa 3.0803080141506425 ###### top Share 49.72677618758506 ###### count 82 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### COMPSCI ###### size 35 ###### gpa 3.3323013900568625 ###### top Share 63.38685451839816 ###### count 56 ###### MATH ###### size 36 ###### gpa 3.1059509777204544 ###### top Share 50.071044743474 ###### count 74.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### COMPSCI ###### size 31 ###### gpa 3.3325489227746874 ###### top Share 61.97665055034616 ###### count 74 ###### MATH ###### size 36 ###### gpa 3.098601909983034 ###### top Share 48.67573746500224 ###### count 66 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### COMPSCI ###### size 36 ###### gpa 3.352907303323745 ###### top Share 63.88103454195665 ###### count 90.5 ###### MATH ###### size 36 ###### gpa 3.0839531022443034 ###### top Share 48.116975859522796 ###### count 80 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3453717241366854 ###### top Share 64.2917310505246 ###### count 95.5 ###### MATH ###### size 39 ###### gpa 3.1003216533236415 ###### top Share 50.01588968281552 ###### count 99 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### COMPSCI ###### size 41 ###### gpa 3.3598624373657553 ###### top Share 65.26544910639922 ###### count 91 ###### MATH ###### size 40 ###### gpa 3.1467748801316944 ###### top Share 52.57847974231038 ###### count 90.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### COMPSCI ###### size 42 ###### gpa 3.450396020252364 ###### top Share 69.90950224603134 ###### count 96 ###### 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 ###### COMPSCI ###### size 46 ###### gpa 3.4266761668874532 ###### top Share 68.93117403010548 ###### count 94.5 ###### MATH ###### size 39 ###### gpa 3.2083447119296955 ###### top Share 56.75007696473496 ###### count 63 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### COMPSCI ###### size 50 ###### gpa 3.522872390836507 ###### top Share 74.11555010870671 ###### count 82.5 ###### MATH ###### size 43 ###### gpa 3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### COMPSCI ###### size 52 ###### gpa 3.5206188715369935 ###### top Share 74.2043106737207 ###### count 99 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### COMPSCI ###### size 54 ###### gpa 3.5244021201456657 ###### top Share 75.07938169795783 ###### count 101 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### COMPSCI ###### size 53 ###### gpa 3.533845597774486 ###### top Share 75.31824598445624 ###### count 82 ###### MATH ###### size 43 ###### gpa 3.2481769276584003 ###### top Share 56.325967864851854 ###### count 81 ## instructor Trends ```json [ { "uid": "instructor_2fcd8ca860c9e8174b0b4bd0", "name": "SHI JIN", "count": 163, "terms": [ { "term": "1082", "count": 20, "sections": 1, "gpa": 3.675 }, { "term": "1132", "count": 21, "sections": 1, "gpa": 3.761904761904762 }, { "term": "1142", "count": 32, "sections": 1, "gpa": 3.625 }, { "term": "1162", "count": 50, "sections": 1, "gpa": 3.54 }, { "term": "1172", "count": 40, "sections": 1, "gpa": 3.65 } ] }, { "uid": "instructor_e8033b131444ac21313c075f", "name": "SAMUEL STECHMANN", "count": 127, "terms": [ { "term": "1124", "count": 9, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1152", "count": 42, "sections": 1, "gpa": 3.9047619047619047 }, { "term": "1202", "count": 42, "sections": 1, "gpa": 3.7857142857142856 }, { "term": "1232", "count": 34, "sections": 1, "gpa": 3.9558823529411766 } ] }, { "uid": "instructor_1afc370e7c2e6fa6c62774f8", "name": "CHRIS RYCROFT", "count": 61, "terms": [ { "term": "1242", "count": 33, "sections": 1, "gpa": 3.787878787878788 }, { "term": "1252", "count": 28, "sections": 1, "gpa": 3.4642857142857144 } ] }, { "uid": "instructor_1227fa1f8db520a460645e3f", "name": "NAN CHEN", "count": 56, "terms": [ { "term": "1192", "count": 56, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_e7ab245ec457d24e97836493", "name": "LEONARDO ZEPEDA-NUNEZ", "count": 47, "terms": [ { "term": "1212", "count": 19, "sections": 1, "gpa": 3.3684210526315788 }, { "term": "1222", "count": 28, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_6cee1ae6c2c6ae042c8870e4", "name": "QIN LI", "count": 30, "terms": [ { "term": "1182", "count": 30, "sections": 1, "gpa": 3.7666666666666666 } ] }, { "uid": "instructor_b28e3372b880f201c25b54a0", "name": "YUE SUN", "count": 28, "terms": [ { "term": "1262", "count": 28, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_948a42af0cbdec970eeadf81", "name": "JAMES A ROSSMANITH", "count": 24, "terms": [ { "term": "1102", "count": 24, "sections": 1, "gpa": 3.6875 } ] }, { "uid": "instructor_7c85ea0ab8f43c8d7efd3b8c", "name": "PAUL MILEWSKI", "count": 18, "terms": [ { "term": "1112", "count": 18, "sections": 1, "gpa": 3.638888888888889 } ] }, { "uid": "instructor_c278ed22113dfc58fa043ecf", "name": "JULIE MITCHELL", "count": 8, "terms": [ { "term": "1092", "count": 8, "sections": 1, "gpa": 3.75 } ] } ] ``` ## following None recorded.