# ANSCI 362: Veterinary Genetics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_362) ## 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 f75b14fbc41d745c9a9c4acad13d54078b6ea09e71aaa911404ee6906a133d2c ### course id ANSCI 362 ### course uid course\_d27a050d166a73108ae8697c ### catalog version id 1dec326cc5278c434785c5227bb947a4891b17847867bab467c3becc66efe705 ### course number 362 ### subjects * ANSCI ### title VETERINARY GENETICS ### description The molecular basis for the inheritance of monogenic and polygenic traits related to animal disease and production. Genetic defects, their discovery, diagnosis, and treatment. Examines the molecular basis underlying the inheritance of monogenic and polygenic traits related to animal disease and production. Topics include genetic defects and their discovery, diagnosis, and treatment, as well as gene-environment interactions. Learn the molecular mechanisms of animal diseases and integrate concepts from multiple disciplines to understand how environmental factors influence gene activity and, ultimately, phenotypes. Emphasizes the role of epigenetics in livestock production, reproduction, and animal health. Explore how biomedical research can be applied to address both human and animal research questions. ### requirements text ZOOLOGY/​BIOLOGY/​BOTANY  151, (ZOOLOGY/​BIOLOGY  101and102), (BIOCORE 382,383, and384), or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 4d0e881a9bb2dcfecd45077fd7ddd1a9ac98f31caee5ec5610acfa26c5db1df5 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ANSCI 362 VETERINARY GENETICS covers the molecular basis of inheritance in animal disease and production. ### llm topics * Genetic defects, discovery, diagnosis, and treatment. * Epigenetics in livestock production, reproduction, and health. * Molecular basis of monogenic and polygenic trait inheritance. ### llm skills * Integrating molecular mechanisms with environmental factors to understand phenotypes. * Applying biomedical research to human and animal questions. ### llm assumed background * Introductory biology, genetics, and animal biology principles. ### llm search phrases * animal genetics molecular basis * veterinary genetics inheritance * animal disease production genetics * epigenetics livestock production * gene-environment interactions animals ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 7b43e45589ce845d44776657b1fb7fb1f96fbb38bdd58cdd5c9b158a590668a3 #### course id ANSCI 362 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Spring 2024: 3.13 GPA, 46.2% A/AB (n=39 letter grades); Spring 2025: 3.40 GPA, 63.4% A/AB (n=41 letter grades); Spring 2026: 3.34 GPA, 59.2% A/AB (n=76 letter grades). ```json { "citations": [ { "course_id": "ANSCI 362", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "74b97db3-d16e-38df-9d42-b8d2ef2882fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ANSCI 362", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "74b97db3-d16e-38df-9d42-b8d2ef2882fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ANSCI 362", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "74b97db3-d16e-38df-9d42-b8d2ef2882fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4" ], "condition": null, "course": null, "evidence": "ZOOLOGY/BIOLOGY/BOTANY 151, (ZOOLOGY/BIOLOGY 101and102), (BIOCORE 382,383, and384), or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 151, "minimum_grade": null, "subjects": [ "BIOLOGY", "BOTANY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "ZOOLOGY/BIOLOGY/BOTANY 151", "id": "n1", "kind": "course" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "(ZOOLOGY/BIOLOGY 101and102)", "id": "n2", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, 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"quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:3073994", "source_url": "https://www.ratemyprofessors.com/professor/3073994", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:09.770965+00:00", "courses": { "course_69c9ffa6d48d783dfcbc334b": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_52a1055a4196c042b145bf49": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.5997143486787233, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.188, "graded": 2405, "counts": [ 931, 266, 646, 144, 315, 85, 18 ], "sections": 157 }, "instructor_url": "/instructors/BRIAN_KIRKPATRICK--instructor_f1712a10945d04378bc4085c" }, { "instructor_uid": "instructor_f4e3536e4beb66781d926858", "source": "madgrades", "source_instructor_id": "3573065", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HASAN KHATIB", "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": 3, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2140797", "source_url": "https://www.ratemyprofessors.com/professor/2140797", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:04.984024+00:00", "courses": {}, "bayesian_quality": 3.7360779850423596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.166, "graded": 1748, "counts": [ 622, 227, 481, 108, 237, 65, 8 ], "sections": 139 }, "instructor_url": "/instructors/HASAN_KHATIB--instructor_f4e3536e4beb66781d926858" }, { "instructor_uid": "instructor_54cafdf4de3f0e23ad342064", "source": "madgrades", "source_instructor_id": "299424", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID THOMAS", "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": 3.114, "graded": 1086, "counts": [ 383, 90, 336, 63, 163, 43, 8 ], "sections": 77 }, "instructor_url": "/instructors/DAVID_THOMAS" }, { "instructor_uid": "instructor_7ff8972a01384bfddd7b23e2", "source": "madgrades", "source_instructor_id": "1505756", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GUILHERME ROSA", "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": 3.023, "graded": 1768, "counts": [ 549, 155, 547, 113, 298, 87, 19 ], "sections": 103 }, "instructor_url": "/instructors/GUILHERME_ROSA--instructor_7ff8972a01384bfddd7b23e2" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": 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"Spring 2014", "instructors": [ "Brian Kirkpatrick", "DAVID THOMAS", "GUILHERME ROSA", "Guilherme Rosa", "HASAN KHATIB" ], "a": 7, "ab": 4, "b": 10, "bc": 0, "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": 28, "source_aliases": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Brian Kirkpatrick", "DAVID THOMAS", "GUILHERME ROSA", "Guilherme Rosa", "HASAN KHATIB" ], "a": 8, "ab": 5, "b": 14, "bc": 9, "c": 5, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Brian Kirkpatrick", "DAVID THOMAS", "HASAN KHATIB" ], "a": 10, "ab": 3, "b": 8, "bc": 4, "c": 1, "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": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Brian Kirkpatrick", "HASAN KHATIB" ], "a": 10, "ab": 2, "b": 16, "bc": 1, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 33, "source_aliases": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Brian Kirkpatrick", "HASAN KHATIB" ], "a": 7, "ab": 4, "b": 5, "bc": 7, "c": 8, "d": 5, "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": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Brian Kirkpatrick", "HASAN KHATIB" ], "a": 3, "ab": 6, "b": 8, "bc": 5, "c": 2, "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": 24, "source_aliases": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Brian Kirkpatrick", "HASAN KHATIB" ], "a": 7, "ab": 4, "b": 2, "bc": 2, "c": 0, "d": 4, "f": 1, "satisfactory": 4, "unsatisfactory": 2, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "HASAN KHATIB" ], "a": 2, "ab": 10, "b": 3, "bc": 0, "c": 6, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "HASAN KHATIB" ], "a": 6, "ab": 6, "b": 6, "bc": 1, "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": 22, "source_aliases": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "HASAN KHATIB" ], "a": 8, "ab": 10, "b": 12, "bc": 4, "c": 4, "d": 1, "f": 0, "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": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "HASAN KHATIB" ], "a": 19, "ab": 7, "b": 9, "bc": 2, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 41, "source_aliases": [ "ANSCI 362", "ANSCI/DYSCI 362" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 362", "course_uid": "course_d27a050d166a73108ae8697c", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "HASAN KHATIB" ], "a": 23, "ab": 22, "b": 19, "bc": 8, "c": 4, "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": 76, "source_aliases": [ "ANSCI 362" ] } ] ``` ### statistics #### gpa 3.096 #### graded 560 #### counts * 152 * 101 * 158 * 56 * 68 * 22 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d27a050d166a73108ae8697c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d27a050d166a73108ae8697c-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d27a050d166a73108ae8697c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d27a050d166a73108ae8697c-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d27a050d166a73108ae8697c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d27a050d166a73108ae8697c-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.095535714285714 #### count 560 #### university ##### size 4298 ##### gpa Percentile 4 ##### count Percentile 79 ##### median Count 170 ##### 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 | 12 | false | | 2.8–3.2 | 316 | true | | 3.2–3.6 | 1235 | false | | 3.6–4.0 | 2735 | false | #### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 22, "gpaPercentile": 24, "countPercentile": 67, "medianCount": 283.5, "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": 7, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.0833333333333335 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1084 ##### term 1084 ##### gpa 3.1470588235294117 ##### count 34 ##### university ###### size 720 ###### gpa Percentile 30 ###### count Percentile 9 ###### 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 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | true | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1094 ##### term 1094 ##### gpa 3 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1104 ##### term 1104 ##### gpa 3 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1114 ##### term 1114 ##### gpa 3.22 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1124 ##### term 1124 ##### gpa 2.8846153846153846 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1134 ##### term 1134 ##### gpa 3.0294117647058822 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1144 ##### term 1144 ##### gpa 3.0714285714285716 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1154 ##### term 1154 ##### gpa 2.9302325581395348 ##### count 43 ##### university ###### size 935 ###### gpa Percentile 10 ###### count Percentile 26 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 10, "gpaPercentile": 11, "countPercentile": 44, "medianCount": 45, "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": 4, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.125 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1174 ##### term 1174 ##### gpa 3.1666666666666665 ##### count 33 ##### university ###### size 955 ###### gpa Percentile 23 ###### count Percentile 6 ###### 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 | 29 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1184 ##### term 1184 ##### gpa 2.6527777777777777 ##### count 36 ##### university ###### size 1010 ###### gpa Percentile 1 ###### count Percentile 13 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | true | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1194 ##### term 1194 ##### gpa 3.0625 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1204 ##### term 1204 ##### gpa 2.85 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1224 ##### term 1224 ##### gpa 2.7916666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1234 ##### term 1234 ##### gpa 3.25 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1244 ##### term 1244 ##### gpa 3.128205128205128 ##### count 39 ##### university ###### size 1241 ###### gpa Percentile 9 ###### 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 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1254 ##### term 1254 ##### gpa 3.402439024390244 ##### count 41 ##### university ###### size 1289 ###### gpa Percentile 24 ###### count Percentile 23 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1264 ##### term 1264 ##### gpa 3.3421052631578947 ##### count 76 ##### university ###### size 1283 ###### gpa Percentile 18 ###### count Percentile 56 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 11, "gpaPercentile": 40, "countPercentile": 60, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4298 ###### gpa 3.6599169512129595 ###### top Share 81.92066096643725 ###### count 170 ##### ANSCI ###### size 22 ###### gpa 3.5001377797077833 ###### top Share 71.01003984860633 ###### count 283.5 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### ANSCI ###### size 10 ###### gpa 3.2565775374299597 ###### top Share 53.35870850061716 ###### count 45 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ANSCI ###### size 11 ###### gpa 3.4872599039104415 ###### top Share 69.71753566211373 ###### count 68 ## instructor Trends ```json [ { "uid": "instructor_f4e3536e4beb66781d926858", "name": "HASAN KHATIB", "count": 560, "terms": [ { "term": "1074", "count": 24, "sections": 1, "gpa": 3.0833333333333335 }, { "term": "1084", "count": 34, "sections": 1, "gpa": 3.1470588235294117 }, { "term": "1094", "count": 17, "sections": 1, "gpa": 3 }, { "term": "1104", "count": 16, "sections": 1, "gpa": 3 }, { "term": "1114", "count": 25, "sections": 1, "gpa": 3.22 }, { "term": "1124", "count": 13, "sections": 1, "gpa": 2.8846153846153846 }, { "term": "1134", "count": 17, "sections": 1, "gpa": 3.0294117647058822 }, { "term": "1144", "count": 28, "sections": 1, "gpa": 3.0714285714285716 }, { "term": "1154", "count": 43, "sections": 1, "gpa": 2.9302325581395348 }, { "term": "1164", "count": 28, "sections": 1, "gpa": 3.125 }, { "term": "1174", "count": 33, "sections": 1, "gpa": 3.1666666666666665 }, { "term": "1184", "count": 36, "sections": 1, "gpa": 2.6527777777777777 }, { "term": "1194", "count": 24, "sections": 1, "gpa": 3.0625 }, { "term": "1204", "count": 20, "sections": 1, "gpa": 2.85 }, { "term": "1224", "count": 24, "sections": 1, "gpa": 2.7916666666666665 }, { "term": "1234", "count": 22, "sections": 1, "gpa": 3.25 }, { "term": "1244", "count": 39, "sections": 1, "gpa": 3.128205128205128 }, { "term": "1254", "count": 41, "sections": 1, "gpa": 3.402439024390244 }, { "term": "1264", "count": 76, "sections": 1, "gpa": 3.3421052631578947 } ] }, { "uid": "instructor_f1712a10945d04378bc4085c", "name": "BRIAN KIRKPATRICK", "count": 358, "terms": [ { "term": "1074", "count": 24, "sections": 1, "gpa": 3.0833333333333335 }, { "term": "1084", "count": 34, "sections": 1, "gpa": 3.1470588235294117 }, { "term": "1094", "count": 17, "sections": 1, "gpa": 3 }, { "term": "1104", "count": 16, "sections": 1, "gpa": 3 }, { "term": "1114", "count": 25, "sections": 1, "gpa": 3.22 }, { "term": "1124", "count": 13, "sections": 1, "gpa": 2.8846153846153846 }, { "term": "1134", "count": 17, "sections": 1, "gpa": 3.0294117647058822 }, { "term": "1144", "count": 28, "sections": 1, "gpa": 3.0714285714285716 }, { "term": "1154", "count": 43, "sections": 1, "gpa": 2.9302325581395348 }, { "term": "1164", "count": 28, "sections": 1, "gpa": 3.125 }, { "term": "1174", "count": 33, "sections": 1, "gpa": 3.1666666666666665 }, { "term": "1184", "count": 36, "sections": 1, "gpa": 2.6527777777777777 }, { "term": "1194", "count": 24, "sections": 1, "gpa": 3.0625 }, { "term": "1204", "count": 20, "sections": 1, "gpa": 2.85 } ] }, { "uid": "instructor_54cafdf4de3f0e23ad342064", "name": "DAVID THOMAS", "count": 99, "terms": [ { "term": "1144", "count": 28, "sections": 1, "gpa": 3.0714285714285716 }, { "term": "1154", "count": 43, "sections": 1, "gpa": 2.9302325581395348 }, { "term": "1164", "count": 28, "sections": 1, "gpa": 3.125 } ] }, { "uid": "instructor_7ff8972a01384bfddd7b23e2", "name": "GUILHERME ROSA", "count": 71, "terms": [ { "term": "1144", "count": 28, "sections": 1, "gpa": 3.0714285714285716 }, { "term": "1154", "count": 43, "sections": 1, "gpa": 2.9302325581395348 } ] } ] ``` ## following None recorded.