# MATH 490: Undergraduate Seminar | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_490) ## 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 d01f0a982c4c6a027c7398f28c4b21f3e81108b19f10a83ad1698c6d7d763973 ### course id MATH 490 ### course uid course\_b151d42dad875eb5e7e721b9 ### catalog version id cc474100356a36ab82a01969e2467596b41a11ef97fec6298a1207f0a8d5897f ### course number 490 ### subjects * MATH ### title UNDERGRADUATE SEMINAR ### description Intermediate or upper level topics course in mathematics. Topics vary. ### requirements text Consent of instructor ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 487d191dc7926e8970dd2a20b655e6645c7549e91a77bfaa2da0dd08eb55e998 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MATH 490 is an undergraduate seminar covering intermediate or upper-level mathematics topics that vary by offering. ### llm topics * Variable intermediate or upper-level mathematics topics ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * MATH 490 undergraduate seminar * intermediate upper level topics mathematics * MATH 490 consent instructor ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash f7f3581bea2fa6293c90a54aed764bae062219cb4c266e0d51bd8405b7a0cf6b #### course id MATH 490 #### current instructors None recorded. #### difficulty workload Historical reviews of Melanie Wood, Sigurd Angenent: Melanie Wood may be harsh for lower-level materials, while Sigurd Angenent's advanced course carries a higher difficulty rating of 4. ```json { "citations": [ { "instructor_name": "Melanie Wood", "review_date": "2014-10-15 05:31:10 +0000 UTC", "review_id": "5503ce1ae2ad21e76766c083", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1855980", "source_review_id": "UmF0aW5nLTIzNjU3MDI3", "source_url": "https://www.ratemyprofessors.com/professor/1855980", "type": "review" }, { "instructor_name": "Sigurd Angenent", "review_date": "2022-05-14 15:29:47 +0000 UTC", "review_id": "be3cc985d483ecd8a3c64a7c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262518", "source_review_id": "UmF0aW5nLTM2MzM4MjA1", "source_url": "https://www.ratemyprofessors.com/professor/262518", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Melanie Wood: Melanie Wood is a good teacher who may be harsh for lower-level materials but is recommended for serious mathematics students. Her classes are suitable for those wanting to go beyond mandatory coursework. ```json { "citations": [ { "instructor_name": "Melanie Wood", "review_date": "2014-10-15 05:31:10 +0000 UTC", "review_id": "5503ce1ae2ad21e76766c083", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1855980", "source_review_id": "UmF0aW5nLTIzNjU3MDI3", "source_url": "https://www.ratemyprofessors.com/professor/1855980", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews describe Melanie Wood and Sigurd Angenent as highly recommended instructors for serious mathematics students, with Angenent noted for making advanced topics interesting through research integration. ```json { "citations": [ { "instructor_name": "Melanie Wood", "review_date": "2014-10-15 05:31:10 +0000 UTC", "review_id": "5503ce1ae2ad21e76766c083", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1855980", "source_review_id": "UmF0aW5nLTIzNjU3MDI3", "source_url": "https://www.ratemyprofessors.com/professor/1855980", "type": "review" }, { "instructor_name": "Sigurd Angenent", "review_date": "2022-05-14 15:29:47 +0000 UTC", "review_id": "be3cc985d483ecd8a3c64a7c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262518", "source_review_id": "UmF0aW5nLTM2MzM4MjA1", "source_url": "https://www.ratemyprofessors.com/professor/262518", "type": "review" } ] } ``` Recent recorded grades — Spring 2020: 3.94 GPA, 100.0% A/AB (n=8 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=36 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=11 letter grades). ```json { "citations": [ { "course_id": "MATH 490", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "22b98961-0677-39c5-9f18-b01b130de693", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MATH 490", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "22b98961-0677-39c5-9f18-b01b130de693", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MATH 490", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "22b98961-0677-39c5-9f18-b01b130de693", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1234", "type": "grade" } ] } ``` #### student experience Historical reviews of Melanie Wood, Sigurd Angenent: Sigurd Angenent provides concise lectures that build intuition and makes the class interesting through research groups, whereas Melanie Wood is considered a good teacher for those dedicated to mathematics beyond mandatory courses. ```json { "citations": [ { "instructor_name": "Melanie Wood", "review_date": "2014-10-15 05:31:10 +0000 UTC", "review_id": "5503ce1ae2ad21e76766c083", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1855980", "source_review_id": "UmF0aW5nLTIzNjU3MDI3", "source_url": "https://www.ratemyprofessors.com/professor/1855980", "type": "review" }, { "instructor_name": "Sigurd Angenent", "review_date": "2022-05-14 15:29:47 +0000 UTC", "review_id": "be3cc985d483ecd8a3c64a7c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:262518", "source_review_id": "UmF0aW5nLTM2MzM4MjA1", "source_url": "https://www.ratemyprofessors.com/professor/262518", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history MELANIE WOOD is recorded teaching in Spring 2012. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 490", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "22b98961-0677-39c5-9f18-b01b130de693", "source_record": { "entity_id": "22b98961-0677-39c5-9f18-b01b130de693", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" } ] } ``` SIGURD ANGENENT is recorded teaching in Spring 2022, Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 490", "run_id": "20260907T155543-ce3781c4", "section_number": 107, "source_course_id": "22b98961-0677-39c5-9f18-b01b130de693", "source_record": { "entity_id": "22b98961-0677-39c5-9f18-b01b130de693", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MATH 490", "run_id": "20260907T155543-ce3781c4", "section_number": 107, "source_course_id": "22b98961-0677-39c5-9f18-b01b130de693", "source_record": { "entity_id": "22b98961-0677-39c5-9f18-b01b130de693", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Consent of 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3.222, "graded": 282, "counts": [ 110, 36, 73, 21, 33, 5, 4 ], "sections": 13 }, "instructor_url": "/instructors/DAVID_KEATING" }, { "instructor_uid": "instructor_65da733714b2ad5c9be740c6", "source": "madgrades", "source_instructor_id": "5326109", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEKSANDRA SOBIESKA", "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": 3.093, "graded": 641, "counts": [ 223, 83, 164, 42, 85, 33, 11 ], "sections": 8 }, "instructor_url": "/instructors/ALEKSANDRA_SOBIESKA" }, { "instructor_uid": "instructor_74c6dd63cc88f0315042e3c4", "source": "madgrades", "source_instructor_id": "6492751", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FENG ZHU", "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": 7, "quality": 4.43, "difficulty": 2.57, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2824875", "source_url": "https://www.ratemyprofessors.com/professor/2824875", "match_basis": "exact_name", "observed_at": "2026-09-07 16:39:17.750384+00:00", "courses": { "course_fa53f4954bab469b5d4c4fe3": { "review_count": 2, "quality": 3.5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_eec4aae06b946a73f1878be4": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 3, "quality": 5, "difficulty": 2, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.8593968767011813, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.081, "graded": 548, "counts": [ 162, 89, 163, 42, 57, 21, 14 ], "sections": 13 }, "instructor_url": "/instructors/FENG_ZHU" }, { "instructor_uid": "instructor_bc7acc9f38e7d8108854c8c5", "source": "madgrades", "source_instructor_id": "3334967", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TULLIA DYMARZ", "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": 53, "quality": 3.21, "difficulty": 3.04, "quality_count": 53, "difficulty_count": 53, "profile_id": "rmp:1653279", "source_url": "https://www.ratemyprofessors.com/professor/1653279", "match_basis": "exact_name", "observed_at": "2026-09-07 16:01:02.366500+00:00", "courses": { "course_fa53f4954bab469b5d4c4fe3": { "review_count": 1, "quality": 1, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_60c2767a206a079d3af2a1a4": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_be7b0773bc9d040384a6a3ce": { "review_count": 3, "quality": 4.67, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_5d98ff5f6adce2207e394dc6": { "review_count": 6, "quality": 3.5, "difficulty": 4.67, "quality_count": 6, "difficulty_count": 6 }, "course_eec4aae06b946a73f1878be4": { "review_count": 3, "quality": 3.33, "difficulty": 2, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.3332015845333136, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.594, "graded": 668, "counts": [ 403, 109, 98, 26, 20, 8, 4 ], "sections": 50 }, "instructor_url": "/instructors/TULLIA_DYMARZ--instructor_bc7acc9f38e7d8108854c8c5" }, { "instructor_uid": "instructor_f5d3618844be3ce46e199dbb", "source": "madgrades", "source_instructor_id": "5519698", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JACK BURKART", "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": 2, "quality": 4.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2730731", "source_url": "https://www.ratemyprofessors.com/professor/2730731", "match_basis": "exact_name", "observed_at": "2026-09-07 16:35:24.073946+00:00", "courses": { "course_fa53f4954bab469b5d4c4fe3": { "review_count": 2, "quality": 4.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.7360779850423596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.451, "graded": 143, "counts": [ 73, 19, 36, 6, 4, 4, 1 ], "sections": 4 }, "instructor_url": "/instructors/JACK_BURKART--instructor_f5d3618844be3ce46e199dbb" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "KEN ONO" ], "a": 12, "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": 12, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "DAVID BROWN" ], "a": 9, "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": 11, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "MELANIE WOOD" ], "a": 13, "ab": 3, "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": 16, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "AMIR ASSADI" ], "a": 8, "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": 8, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "ZEV KLAGSBRUN" ], "a": 6, "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": 8, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "STEVEN SAM" ], "a": 9, "ab": 3, "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": 12, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "JOHN WILTSHIRE-GORDON" ], "a": 13, "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": 13, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Andrei Caldararu" ], "a": 10, "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": 10, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Jose Rodriguez" ], "a": 7, "ab": 1, "b": 0, "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": 9, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Andrew Zimmer", "Benedek Valko", "Caglar Uyanik", "Chenxi Wu", "Grace Work", "NATHAN FISHER", "Sebastien Roch", "Sigurd Angenent" ], "a": 36, "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": 36, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ALEKSANDRA SOBIESKA", "Benedek Valko", "Caglar Uyanik", "Chenxi Wu", "DANIELLE BURTON", "DAVID KEATING", "FENG ZHU", "HANBAEK LYU", "JACK BURKART", "Nan Chen", "Sebastien Roch", "Sigurd Angenent", "Tullia Dymarz" ], "a": 0, "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": 0, "source_aliases": [ "MATH 490" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 490", "course_uid": "course_b151d42dad875eb5e7e721b9", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "JACK BURKART" ], "a": 11, "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": 11, "source_aliases": [ "MATH 490" ] } ] ``` ### statistics #### gpa 3.962 #### graded 145 #### counts * 134 * 11 * 0 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b151d42dad875eb5e7e721b9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b151d42dad875eb5e7e721b9-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b151d42dad875eb5e7e721b9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b151d42dad875eb5e7e721b9-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_b151d42dad875eb5e7e721b9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_b151d42dad875eb5e7e721b9-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b151d42dad875eb5e7e721b9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b151d42dad875eb5e7e721b9-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.962068965517241 #### count 145 #### university ##### size 4009 ##### gpa Percentile 88 ##### count Percentile 55 ##### median Count 121 ##### 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 | 350 | false | | 3.2–3.6 | 1189 | false | | 3.6–4.0 | 2453 | true | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 104, "gpaPercentile": 83, "countPercentile": 56, "medianCount": 124, "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": 20, "current": false }, { "range": "3.6–4.0", "count": 52, "current": true } ] } } ] ``` ### terms #### 1104 ##### term 1104 ##### gpa 4 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1114 ##### term 1114 ##### gpa 3.909090909090909 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1124 ##### term 1124 ##### gpa 3.90625 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1132 ##### term 1132 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1134 ##### term 1134 ##### gpa 3.875 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1174 ##### term 1174 ##### gpa 3.875 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1184 ##### term 1184 ##### gpa 4 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1194 ##### term 1194 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1204 ##### term 1204 ##### gpa 3.9375 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1224 ##### term 1224 ##### gpa 4 ##### count 36 ##### university ###### size 1171 ###### gpa Percentile 94 ###### count Percentile 14 ###### 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": "MATH", "comparison": { "size": 34, "gpaPercentile": 100, "countPercentile": 6, "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 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | ### benchmarks #### all ##### school ###### size 4009 ###### gpa 3.639836768015951 ###### top Share 80.5833209463418 ###### count 121 ##### MATH ###### size 104 ###### gpa 3.496663029725921 ###### top Share 71.99258676250416 ###### count 124 #### terms ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MATH ###### size 23 ###### gpa 2.9531575824731964 ###### top Share 43.549837152646596 ###### count 98 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MATH ###### size 25 ###### gpa 2.9605395515107897 ###### top Share 42.794601137643824 ###### count 108 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.938004331770204 ###### top Share 42.318323348030226 ###### count 83.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 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3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ## instructor Trends ```json [ { "uid": "instructor_87f24f0fa5dbe5bf4d4b510c", "name": "MELANIE WOOD", "count": 16, "terms": [ { "term": "1124", "count": 16, "sections": 1, "gpa": 3.90625 } ] }, { "uid": "instructor_cb2c5d2eb54246a04390c95e", "name": "JOHN WILTSHIRE-GORDON", "count": 13, "terms": [ { "term": "1184", "count": 13, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_2ac2deeb0fbdfaa160482334", "name": "KEN ONO", "count": 12, "terms": [ { "term": "1104", "count": 12, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_c513d17e5fc9a64193e0c6e5", "name": "STEVEN SAM", "count": 12, "terms": [ { "term": "1174", "count": 12, "sections": 1, "gpa": 3.875 } ] }, { "uid": 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