# MATH 467: Introduction to Number Theory | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_467) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 cf2f2c00799d54f32f994e94068a5aaa012037af629193b94273b420da6bd193 ### course id MATH 467 ### course uid course\_e7b7ff33c37b147a17b2d14d ### catalog version id f74e69a7e6d66e898cd60fc5bf1f591eea5dbfa6f206d5ecb1f0aee048ab24c8 ### course number 467 ### subjects * MATH ### title INTRODUCTION TO NUMBER THEORY ### description An introduction to proof writing techniques through a study of classical topics in elementary number theory. Topics include the divisibility, basic properties of primes, congruences, Fermat's theorem. ### requirements text MATH 234,320,340,345,375, or (MATH 222andCOMP SCI/​MATH  240) ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:025252 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 98b0d22b35becc7249874e8ad54eb478ff9d6f6d2d801ae67717e06cb78e145a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MATH 467 introduces proof writing techniques through classical topics in elementary number theory. ### llm topics * Divisibility and prime properties * Congruences * Fermat's theorem ### llm skills * Proof writing techniques * Elementary number theory concepts ### llm assumed background * Calculus sequence completion (MATH 222) is required for most listed prerequisites. * Discrete mathematics and proof foundations (MATH 240) are an alternative prerequisite path. ### llm search phrases * number theory proof writing * elementary number theory course * MATH 467 prerequisites * discrete math to number theory ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash ce94fdcc0d1f7a4224c542cce6558bf90b9b13b15cb1bb574aa184f5779837b8 #### course id MATH 467 #### current instructors ```json [ { "instructor_uid": "instructor_0f4da1c73bb756d2b23d7804", "message": null, "name": "Mikhail Ivanov", "review_status": "supported", "rmp_instructor_id": "rmp:2680569", "summary": [ { "citations": [ { "instructor_name": "Mikhail Ivanov", "review_date": "2023-12-13 02:19:34 +0000 UTC", "review_id": "7dd71b93e361eb57388d3fe3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2680569", "source_review_id": "UmF0aW5nLTM4NjQxMTEz", "source_url": "https://www.ratemyprofessors.com/professor/2680569", "type": "review" } ], "text": "Mikhail Ivanov is described as an excellent professor who makes material clear and follows the textbook's pacing. Reviewers note his clarity during office hours, though one suggests negative perceptions may stem from students encountering difficult math for the first time." }, { "citations": [ { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.17 GPA, 51.5% A/AB (n=33 letter grades)." } ] } ] ``` #### difficulty workload The course is rated as moderately difficult. Negative perceptions may stem from students encountering a hard math class for the first time rather than the instructor's teaching. ```json { "citations": [ { "instructor_name": "Mikhail Ivanov", "review_date": "2023-12-13 02:19:34 +0000 UTC", "review_id": "7dd71b93e361eb57388d3fe3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2680569", "source_review_id": "UmF0aW5nLTM4NjQxMTEz", "source_url": "https://www.ratemyprofessors.com/professor/2680569", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Botong Wang: Mikhail Ivanov is the current instructor, but reviews for Botong Wang highlight his ability to break down advanced concepts and motivate them with examples, making understanding easier. Wang's lectures are engaging and homework prepares students for straightforward exams, though one review notes he may be too busy with research. ```json { "citations": [ { "instructor_name": "Botong Wang", "review_date": "2026-01-20 06:30:52 +0000 UTC", "review_id": "a65fb9cd5fc363dd3e680c97", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2279567", "source_review_id": "UmF0aW5nLTQyNTIyMjc3", "source_url": "https://www.ratemyprofessors.com/professor/2279567", "type": "review" }, { "instructor_name": "Botong Wang", "review_date": "2026-01-20 17:39:10 +0000 UTC", "review_id": "550ab6942dcebddec2ea06d7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2279567", "source_review_id": "UmF0aW5nLTQyNTIzODM5", "source_url": "https://www.ratemyprofessors.com/professor/2279567", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Mikhail Ivanov is an excellent professor who makes the material very clear and follows the textbook's pacing. He provides clear explanations at office hours, making the course accessible despite its difficulty. ```json { "citations": [ { "instructor_name": "Mikhail Ivanov", "review_date": "2023-12-13 02:19:34 +0000 UTC", "review_id": "7dd71b93e361eb57388d3fe3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2680569", "source_review_id": "UmF0aW5nLTM4NjQxMTEz", "source_url": "https://www.ratemyprofessors.com/professor/2680569", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 2.97 GPA, 44.1% A/AB (n=34 letter grades); Fall 2025: 3.34 GPA, 58.8% A/AB (n=68 letter grades); Spring 2026: 2.48 GPA, 35.5% A/AB (n=31 letter grades). ```json { "citations": [ { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students find the professor's explanations and office hour support very helpful. The teaching style aligns well with the textbook, providing a structured learning experience. ```json { "citations": [ { "instructor_name": "Mikhail Ivanov", "review_date": "2023-12-13 02:19:34 +0000 UTC", "review_id": "7dd71b93e361eb57388d3fe3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2680569", "source_review_id": "UmF0aW5nLTM4NjQxMTEz", "source_url": "https://www.ratemyprofessors.com/professor/2680569", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ANANTH SHANKAR is recorded teaching in Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` BOTONG WANG is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` DANIEL ERMAN is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` MIKHAIL IVANOV is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` MITCH KELLER is recorded teaching in Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 467", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "source_record": { "entity_id": "4b1ae127-39fe-3978-b487-1f9ddbef5c1f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n3", "n4", "n5", "n6", "n7", "n8" ], "condition": null, "course": null, "evidence": "MATH 234,320,340,345,375, or (MATH 222andCOMP SCI/MATH 240)", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 234, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 234", "id": "n3", "kind": "course" }, { "children": [], "condition": 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"timing": "prior" }, "evidence": "MATH 222", "id": "n9", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 240, "minimum_grade": null, "subjects": [ "COMPSCI", "MATH" ], "timing": "prior" }, "evidence": "COMP SCI/MATH 240", "id": "n10", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_0f4da1c73bb756d2b23d7804", "source": "enrollment", "source_instructor_id": "mivanov", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mikhail Ivanov", "email": "MIVANOV@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 44, "quality": 3.14, "difficulty": 3.43, "quality_count": 44, "difficulty_count": 44, "profile_id": "rmp:2680569", "source_url": "https://www.ratemyprofessors.com/professor/2680569", "match_basis": "exact_name", "observed_at": 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}, "course_3b14f667f980624c1f5bde67": { "review_count": 3, "quality": 2.67, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.302401807358311, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MIKHAIL_IVANOV" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:025252", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1272", "source_course_id": "025252", "source_subject_id": "600", "title": "Introduction to Number Theory", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:20069", "term_id": "1272", "source_section_id": "20069", "identity_basis": "class_number", "section_number": "001", 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15:55:43.033547+00:00", "ratings": { "review_count": 30, "quality": 4.43, "difficulty": 3.1, "quality_count": 30, "difficulty_count": 30, "profile_id": "rmp:1769534", "source_url": "https://www.ratemyprofessors.com/professor/1769534", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:27.660032+00:00", "courses": { "course_60c2767a206a079d3af2a1a4": { "review_count": 2, "quality": 4.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_6bc496e4640fd08f71e1b041": { "review_count": 5, "quality": 4.6, "difficulty": 3.4, "quality_count": 5, "difficulty_count": 5 }, "course_8634dde81cc95f6c58014087": { "review_count": 13, "quality": 4.38, "difficulty": 2.85, "quality_count": 13, "difficulty_count": 13 }, "course_a75fa380f07449fe8cb71571": { "review_count": 2, "quality": 4.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 4.121874313418638, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.172, "graded": 1833, "counts": [ 707, 232, 411, 197, 189, 71, 26 ], "sections": 56 }, "instructor_url": "/instructors/DMYTRO_ARINKIN--instructor_efd230d48fca1e6778221a38" }, { "instructor_uid": "instructor_c71686b20443ece4d26594c5", "source": "madgrades", "source_instructor_id": "6179547", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHAOMING GUO", "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": 1.88, "difficulty": 3.71, "quality_count": 17, "difficulty_count": 17, "profile_id": "rmp:2531248", "source_url": "https://www.ratemyprofessors.com/professor/2531248", "match_basis": "exact_name", "observed_at": "2026-09-07 16:06:05.646704+00:00", "courses": { "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 8, "quality": 1.88, "difficulty": 4, "quality_count": 8, "difficulty_count": 8 }, "course_8634dde81cc95f6c58014087": { 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"2026-09-07 16:46:15.648036+00:00", "courses": { "course_e7b7ff33c37b147a17b2d14d": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_6bc496e4640fd08f71e1b041": { "review_count": 111, "quality": 4.91, "difficulty": 3.14, "quality_count": 111, "difficulty_count": 111 }, "course_a75fa380f07449fe8cb71571": { "review_count": 2, "quality": 5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 4.711693591818347, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.998, "graded": 2896, "counts": [ 936, 295, 747, 244, 457, 141, 76 ], "sections": 42 }, "instructor_url": "/instructors/DANIEL_ERMAN--instructor_71ef50f4a56c330c438c8692" }, { "instructor_uid": "instructor_c7f578ceaf74c43a208a7455", "source": "madgrades", "source_instructor_id": "6315810", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANANTH SHANKAR", "email": null, 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"quality_count": 13, "difficulty_count": 13 }, "course_63c43e7ac8225e2773df74d8": { "review_count": 3, "quality": 4.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 }, "course_e7b7ff33c37b147a17b2d14d": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_9b0dc1865ea603eb0083bc33": { "review_count": 13, "quality": 2.23, "difficulty": 4, "quality_count": 13, "difficulty_count": 13 }, "course_3b14f667f980624c1f5bde67": { "review_count": 3, "quality": 2.67, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.302401807358311, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.98, "graded": 1694, "counts": [ 516, 177, 453, 140, 286, 83, 39 ], "sections": 26 }, "instructor_url": "/instructors/MIKHAIL_IVANOV--instructor_91ba0ecbfb754ecba5e7dd8c" }, { "instructor_uid": "instructor_18ef1d7d9b98466965984778", "source": "madgrades", "source_instructor_id": 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"exact_name", "observed_at": "2026-09-07 16:17:02.037647+00:00", "courses": { "course_7e12e6bf6be7a81f7ca74420": { "review_count": 2, "quality": 5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 5, "quality": 4.4, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 4, "quality": 3.5, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4 }, "course_6bc496e4640fd08f71e1b041": { "review_count": 13, "quality": 2.85, "difficulty": 3.38, "quality_count": 13, "difficulty_count": 13 }, "course_63c43e7ac8225e2773df74d8": { "review_count": 3, "quality": 4.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 }, "course_e7b7ff33c37b147a17b2d14d": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_9b0dc1865ea603eb0083bc33": { "review_count": 13, "quality": 2.23, "difficulty": 4, 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"MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "SHAOMING GUO" ], "a": 24, "ab": 6, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "MATH 467" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "DANIEL ERMAN" ], "a": 41, "ab": 11, "b": 2, "bc": 2, "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": 57, "source_aliases": [ "MATH 467" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ANANTH SHANKAR" ], "a": 9, "ab": 4, "b": 6, "bc": 9, "c": 7, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "MATH 467" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Mikhail Ivanov" ], "a": 11, "ab": 6, "b": 7, "bc": 3, "c": 5, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "MATH 467" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Caglar Uyanik" ], "a": 18, "ab": 7, "b": 9, "bc": 3, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "MATH 467" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Mitch Keller", "Shiva Chidambaram" ], "a": 19, "ab": 15, "b": 15, "bc": 7, "c": 2, "d": 3, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "MATH 467" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Shiva Chidambaram" ], "a": 8, "ab": 7, "b": 9, "bc": 3, "c": 4, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "MATH 467" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Botong Wang", "Robert Lemke Oliver" ], "a": 30, "ab": 10, "b": 17, "bc": 2, "c": 8, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 1, "other": 0, "total": 70, "source_aliases": [ "MATH 467" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 467", "course_uid": "course_e7b7ff33c37b147a17b2d14d", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Max Lahn" ], "a": 7, "ab": 4, "b": 4, "bc": 2, "c": 7, "d": 4, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "MATH 467" ] } ] ``` ### statistics #### gpa 3.264 #### graded 413 #### counts * 172 * 75 * 74 * 35 * 39 * 10 * 8 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_e7b7ff33c37b147a17b2d14d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_e7b7ff33c37b147a17b2d14d-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_e7b7ff33c37b147a17b2d14d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_e7b7ff33c37b147a17b2d14d-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_e7b7ff33c37b147a17b2d14d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_e7b7ff33c37b147a17b2d14d-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_e7b7ff33c37b147a17b2d14d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_e7b7ff33c37b147a17b2d14d-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_e7b7ff33c37b147a17b2d14d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_e7b7ff33c37b147a17b2d14d-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.263922518159806 #### count 413 #### university ##### size 4354 ##### gpa Percentile 8 ##### count Percentile 80 ##### median Count 123 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 10 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 1060 | true | | 3.6–4.0 | 3055 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 114, "gpaPercentile": 30, "countPercentile": 73, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 26, "current": false }, { "range": "3.2–3.6", "count": 31, "current": true }, { "range": "3.6–4.0", "count": 54, "current": false } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 2.9 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1212 ##### term 1212 ##### gpa 3.9 ##### count 30 ##### university ###### size 1111 ###### gpa Percentile 83 ###### count Percentile 0 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 90, "countPercentile": 0, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.8125 ##### count 56 ##### university ###### size 1157 ###### gpa Percentile 73 ###### count Percentile 43 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 89, "countPercentile": 34, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 2.9857142857142858 ##### count 35 ##### university ###### size 1216 ###### gpa Percentile 5 ###### count Percentile 12 ###### 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 | true | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 24, "countPercentile": 17, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.1666666666666665 ##### count 33 ##### university ###### size 1295 ###### gpa Percentile 12 ###### 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 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 43, "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": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.41025641025641 ##### count 39 ##### university ###### size 1241 ###### gpa Percentile 26 ###### count Percentile 20 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 71, "countPercentile": 19, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 20, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.193548387096774 ##### count 62 ##### university ###### size 1333 ###### gpa Percentile 9 ###### count Percentile 44 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | true | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 57, "countPercentile": 40, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 2.9705882352941178 ##### count 34 ##### university ###### size 1289 ###### gpa Percentile 4 ###### count Percentile 8 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 21, "countPercentile": 8, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 16, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.338235294117647 ##### count 68 ##### university ###### size 1320 ###### gpa Percentile 18 ###### count Percentile 48 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 64, "countPercentile": 45, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 2.4838709677419355 ##### count 31 ##### university ###### size 1283 ###### gpa Percentile 0 ###### count Percentile 2 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | true | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 5, "countPercentile": 7, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": true }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4354 ###### gpa 3.698267185496028 ###### top Share 84.28083464840091 ###### count 123 ##### MATH ###### size 114 ###### gpa 3.5267546559093526 ###### top Share 73.73743320416433 ###### count 116 #### terms ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### 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 ###### MATH ###### size 41 ###### gpa 3.3211331103538813 ###### top Share 59.85093623917685 ###### count 87 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MATH ###### size 39 ###### gpa 3.2083447119296955 ###### top Share 56.75007696473496 ###### count 63 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MATH ###### size 43 ###### gpa 3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MATH ###### size 43 ###### gpa 3.2481769276584003 ###### top Share 56.325967864851854 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ## instructor Trends ```json [ { "uid": "instructor_4c9193beeeb2d204641f55e5", "name": "SHIVA CHIDAMBARAM", "count": 61, "terms": [ { "term": "1252", "count": 27, "sections": 1, "gpa": 3.185185185185185 }, { "term": "1254", "count": 34, "sections": 1, "gpa": 2.9705882352941178 } ] }, { "uid": "instructor_71ef50f4a56c330c438c8692", "name": "DANIEL ERMAN", "count": 56, "terms": [ { "term": "1222", "count": 56, "sections": 1, "gpa": 3.8125 } ] }, { "uid": "instructor_18ef1d7d9b98466965984778", "name": "CAGLAR UYANIK", "count": 39, "terms": [ { "term": "1244", "count": 39, "sections": 1, "gpa": 3.41025641025641 } ] }, { "uid": "instructor_bb4ab5ae7dbecb56c2cd59db", "name": "BOTONG WANG", "count": 35, "terms": [ { "term": "1262", "count": 35, "sections": 1, "gpa": 3.357142857142857 } ] }, { "uid": "instructor_c7f578ceaf74c43a208a7455", "name": "ANANTH SHANKAR", "count": 35, "terms": [ { "term": "1232", "count": 35, "sections": 1, "gpa": 2.9857142857142858 } ] }, { "uid": "instructor_ede8aed2cc73dd8c67230acc", "name": "MITCH KELLER", "count": 35, "terms": [ { "term": "1252", "count": 35, "sections": 1, "gpa": 3.2 } ] }, { "uid": "instructor_65dbc1b20823a490be6baf42", "name": "ROBERT LEMKE OLIVER", "count": 33, "terms": [ { "term": "1262", "count": 33, "sections": 1, "gpa": 3.3181818181818183 } ] }, { "uid": "instructor_91ba0ecbfb754ecba5e7dd8c", "name": "MIKHAIL IVANOV", "count": 33, "terms": [ { "term": "1242", "count": 33, "sections": 1, "gpa": 3.1666666666666665 } ] }, { "uid": "instructor_2bf2633758fd67bdce69511e", "name": "MAX LAHN", "count": 31, "terms": [ { "term": "1264", "count": 31, "sections": 1, "gpa": 2.4838709677419355 } ] }, { "uid": "instructor_c71686b20443ece4d26594c5", "name": "SHAOMING GUO", "count": 30, "terms": [ { "term": "1212", "count": 30, "sections": 1, "gpa": 3.9 } ] }, { "uid": "instructor_efd230d48fca1e6778221a38", "name": "DMYTRO ARINKIN", "count": 25, "terms": [ { "term": "1202", "count": 25, "sections": 1, "gpa": 2.9 } ] } ] ``` ## following | code | title | | ---------------- | ----------------------------------------------------------------- | | HISTSCI/MATH 473 | HISTORY OF MATHEMATICS | | MATH 521 | ANALYSIS I | | MATH 535 | MATHEMATICAL METHODS IN DATA SCIENCE | | MATH 540 | LINEAR ALGEBRA II | | MATH 541 | MODERN ALGEBRA 1 | | MATH 551 | POINT-SET TOPOLOGY | | MATH 561 | DIFFERENTIAL GEOMETRY | | MATH 570 | FUNDAMENTALS OF SET THEORY | | MATH 616 | DATA-DRIVEN DYNAMICAL SYSTEMS, STOCHASTIC MODELING AND PREDICTION | | MATH/PHILOS 571 | MATHEMATICAL LOGIC | ## projection ### target 1272 ### gpa 3.2752339316835575 ### grades | grade | percentage | | ----- | ------------------ | | A | 39.60060540775245 | | AB | 17.727935374858724 | | B | 20.27921117486762 | | BC | 9.644272900362212 | | C | 10.198215355965305 | | D | 1.7284512379014227 | | F | 0.8213085482922652 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 254 ### same Season true ### historical Range * 2.9857142857142853 * 3.8125