# MEDSC-V 667: Small Animal Neurology | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MEDSC-V_667) ## 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 e80b4ce337c1c07bf3b01f408b4d29f6e3d1c3e4185212a3ea1c76d84bf088b1 ### course id MEDSC-V 667 ### course uid course\_7f2d37a5d6ea30b6bad89a33 ### catalog version id fb3dbcbbe1de5d91352b7e710ef5a723f1c883e447fba1ac087c2785237c120d ### course number 667 ### subjects * MEDSC-V ### title SMALL ANIMAL NEUROLOGY ### description Provide instruction and guidance in obtaining a complete neurological history, interpreting examinations, diagnostic tests and rationally selecting an appropriate diagnosis and effective management for neurology cases. ### requirements text Declared in Doctor of Veterinary Medicine with fourth year standing ### credits min 2 ### credits max 2 ### credit offering ids * 1272:623:019514 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 9f07496c928633084728bc44c9e83185747389a82aa51dce95dd56d7df8ff220 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Small Animal Neurology teaches students to obtain neurological histories, interpret exams and tests, and select diagnoses and management plans for neurology cases. ### llm topics * Neurological history taking * Neurological examinations and diagnostic tests * Diagnosis and management of neurology cases ### llm skills * Obtaining a complete neurological history * Interpreting neurological examinations and diagnostic tests * Selecting appropriate diagnoses and effective management plans ### llm assumed background * Fourth-year standing in the Doctor of Veterinary Medicine program ### llm search phrases * small animal neurology * veterinary neurology diagnosis * neurological history taking * veterinary clinical neurology ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 017dc1f24b1343fcb81e1be74ec0105258a601724c22af0e6901e40f74b45abb #### course id MEDSC-V 667 #### current instructors ```json [ { "instructor_uid": "instructor_8ebc2cc2c575168479fc29c3", "message": "No course-specific reviews available", "name": "Natalia Libanio Zidan", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=5 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_e35cee10d1c2cf777a04b00d", "message": "No course-specific reviews available", "name": "Starr Cameron", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=5 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=5 letter grades). ```json { "citations": [ { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "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 NATALIA LIBANIO ZIDAN is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` STARR CAMERON is recorded teaching in Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MEDSC-V 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"grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MEDSC-V 667", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "source_record": { "entity_id": "0645b8e7-c43e-3e45-af53-7d25948d5377", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Declared in Doctor of Veterinary Medicine with fourth year standing", "course": null, "evidence": "Declared in Doctor of Veterinary Medicine with fourth year standing", "id": "n0", "kind": "condition" } ] ``` #### notes * The requirement is a program standing declaration rather than a specific course prerequisite. #### root n0 #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | --------------------- | ----------------------- | -------------------------------- | -------------------------------- | ------------------------------------ | | instructor\_8ebc2cc2c575168479fc29c3 | enrollment | libaniozidan | netid | source\_identified | Natalia Libanio Zidan | LIBANIOZIDAN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/NATALIA\_LIBANIO\_ZIDAN | | instructor\_e35cee10d1c2cf777a04b00d | enrollment | scameron3 | netid | source\_identified | Starr Cameron | STARR.CAMERON\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/STARR\_CAMERON | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:623:019514", "course_id": "MEDSC-V 667", "course_uid": "course_7f2d37a5d6ea30b6bad89a33", "term_id": "1272", "source_course_id": "019514", "source_subject_id": "623", "title": "Small Animal Neurology", "credits_min": 2, "credits_max": 2, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22417", "term_id": "1272", "source_section_id": "22417", "identity_basis": "class_number", "section_number": "001", "section_type": "FLD", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 15, "waitlisted": 0, "start_date": "2026-08-03 05:00:00+00:00", "end_date": "2026-12-20 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_4f83852f0a7a773ab37801ad", "source": "madgrades", "source_instructor_id": "3467965", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PIETRO F ADAMO", "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": 4, "graded": 11, "counts": [ 11, 0, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/PIETRO_F_ADAMO" }, { "instructor_uid": "instructor_a2b56439fc53df2cfd8e89bc", "source": "madgrades", "source_instructor_id": "3671410", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HELENA RYLANDER", "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": 3.502, "graded": 2698, "counts": [ 1239, 516, 759, 81, 103, 0, 0 ], "sections": 78 }, "instructor_url": "/instructors/HELENA_RYLANDER--instructor_a2b56439fc53df2cfd8e89bc" }, { "instructor_uid": "instructor_2b2e71dbd5133b2a76f5e814", "source": "madgrades", "source_instructor_id": "244828", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROGER PETTIGREW", "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": 4, "graded": 17, "counts": [ 17, 0, 0, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/ROGER_PETTIGREW" }, { "instructor_uid": "instructor_c6be45d210fd337cf61060e6", "source": "madgrades", "source_instructor_id": "4541323", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOPHIE PETERSEN", "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": 4, "graded": 24, "counts": [ 24, 0, 0, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/SOPHIE_PETERSEN--instructor_c6be45d210fd337cf61060e6" }, { "instructor_uid": "instructor_a33de376fffe3f285d354ffb", "source": "madgrades", "source_instructor_id": "4880653", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HEIDI BARNES HELLER", "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": 3.609, "graded": 290, "counts": [ 169, 41, 64, 6, 10, 0, 0 ], "sections": 20 }, "instructor_url": "/instructors/HEIDI_BARNES_HELLER--instructor_a33de376fffe3f285d354ffb" }, { "instructor_uid": "instructor_ea4a9afadb18d2674419c57b", "source": "madgrades", "source_instructor_id": "5439654", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SALIH EMINAGA", "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": 4, "graded": 1, "counts": [ 1, 0, 0, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/SALIH_EMINAGA--instructor_ea4a9afadb18d2674419c57b" }, { "instructor_uid": "instructor_b7ea842abab7916a0a450e62", "source": "madgrades", "source_instructor_id": "5701399", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GUILLAUME LEBLOND", "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": 4, "graded": 29, "counts": [ 29, 0, 0, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/GUILLAUME_LEBLOND--instructor_b7ea842abab7916a0a450e62" }, { "instructor_uid": "instructor_303645e6b9b4cc3a761ba0af", "source": "madgrades", "source_instructor_id": "6051264", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JULIEN GUEVAR", "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": 3.472, "graded": 215, "counts": [ 94, 41, 64, 6, 10, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/JULIEN_GUEVAR" }, { "instructor_uid": "instructor_393a2232ea7351b3da757990", "source": "madgrades", "source_instructor_id": "3755540", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STARR CAMERON", "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": 3.531, "graded": 1177, "counts": [ 584, 217, 290, 37, 49, 0, 0 ], "sections": 48 }, "instructor_url": "/instructors/STARR_CAMERON--instructor_393a2232ea7351b3da757990" }, { "instructor_uid": "instructor_a7687554c2a0bd670339f058", "source": "madgrades", "source_instructor_id": "6118871", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANIEL WEBB", "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": 3.549, "graded": 112, "counts": [ 61, 20, 20, 3, 8, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/DANIEL_WEBB" }, { "instructor_uid": "instructor_b4094261526e823ad565050b", "source": "madgrades", "source_instructor_id": "6042017", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TESSA SMITH", "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": 3.838, "graded": 34, "counts": [ 30, 2, 0, 1, 0, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/TESSA_SMITH--instructor_b4094261526e823ad565050b" }, { "instructor_uid": "instructor_b7783d3c68f9015852c6b948", "source": "madgrades", "source_instructor_id": "6118882", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CASEY SMITH", "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": 3.639, "graded": 140, "counts": [ 89, 20, 20, 3, 8, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/CASEY_SMITH--instructor_b7783d3c68f9015852c6b948" }, { "instructor_uid": "instructor_7ddf9ee8cfe77c892818bfbe", "source": "madgrades", "source_instructor_id": "4993603", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TESSA SMITH", "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": 4, "graded": 34, "counts": [ 34, 0, 0, 0, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/TESSA_SMITH--instructor_7ddf9ee8cfe77c892818bfbe" }, { "instructor_uid": "instructor_584693606686f09ccd1c5101", "source": "madgrades", "source_instructor_id": "6397093", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NATALIA LIBANIO ZIDAN", "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": 3.546, "graded": 728, "counts": [ 377, 132, 160, 27, 32, 0, 0 ], "sections": 22 }, "instructor_url": "/instructors/NATALIA_LIBANIO_ZIDAN--instructor_584693606686f09ccd1c5101" }, { "instructor_uid": "instructor_8ebc2cc2c575168479fc29c3", "source": "enrollment", "source_instructor_id": "libaniozidan", "identity_basis": "netid", "identity_status": "source_identified", "name": "Natalia Libanio Zidan", "email": "LIBANIOZIDAN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/NATALIA_LIBANIO_ZIDAN" }, { "instructor_uid": "instructor_e35cee10d1c2cf777a04b00d", "source": "enrollment", "source_instructor_id": "scameron3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Starr Cameron", "email": "STARR.CAMERON@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/STARR_CAMERON" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDSC-V 667", "course_uid": "course_7f2d37a5d6ea30b6bad89a33", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "HELENA RYLANDER", "PIETRO F ADAMO" ], "a": 11, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 13, "source_aliases": [ "MEDSC-V 667" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDSC-V 667", "course_uid": "course_7f2d37a5d6ea30b6bad89a33", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "HELENA RYLANDER" ], "a": 11, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "MEDSC-V 667" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDSC-V 667", "course_uid": "course_7f2d37a5d6ea30b6bad89a33", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "HELENA RYLANDER" ], "a": 5, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 7, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "MEDSC-V 667" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDSC-V 667", "course_uid": "course_7f2d37a5d6ea30b6bad89a33", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "HELENA RYLANDER" ], "a": 14, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 4, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "MEDSC-V 667" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDSC-V 667", "course_uid": "course_7f2d37a5d6ea30b6bad89a33", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "HELENA RYLANDER", "ROGER PETTIGREW" ], "a": 8, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 4, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "MEDSC-V 667" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDSC-V 667", "course_uid": "course_7f2d37a5d6ea30b6bad89a33", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "HELENA RYLANDER", "ROGER PETTIGREW" ], "a": 9, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 7, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, 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Cameron" ], "a": 5, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 17, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "MEDSC-V 667" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDSC-V 667", "course_uid": "course_7f2d37a5d6ea30b6bad89a33", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "HELENA RYLANDER", "Natalia Libanio Zidan", "Starr Cameron" ], "a": 5, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 14, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "MEDSC-V 667" ] } ] ``` ### statistics #### gpa 4 #### graded 315 #### counts * 315 * 0 * 0 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_7f2d37a5d6ea30b6bad89a33-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_7f2d37a5d6ea30b6bad89a33-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_7f2d37a5d6ea30b6bad89a33-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_7f2d37a5d6ea30b6bad89a33-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_7f2d37a5d6ea30b6bad89a33-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_7f2d37a5d6ea30b6bad89a33-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_7f2d37a5d6ea30b6bad89a33-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_7f2d37a5d6ea30b6bad89a33-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 4 #### count 315 #### university ##### size 5784 ##### gpa Percentile 97 ##### count Percentile 57 ##### median Count 240.5 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 12 | false | | 2.8–3.2 | 363 | false | | 3.2–3.6 | 1576 | false | | 3.6–4.0 | 3833 | true | #### departments ```json [ { "subject": "MEDSC-V", "comparison": { "size": 21, "gpaPercentile": 55, "countPercentile": 40, "medianCount": 394, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1074 ##### term 1074 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1082 ##### term 1082 ##### gpa 4 ##### count 5 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1084 ##### term 1084 ##### gpa 4 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1092 ##### term 1092 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1094 ##### term 1094 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1102 ##### term 1102 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1104 ##### term 1104 ##### gpa 4 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1112 ##### term 1112 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1114 ##### term 1114 ##### gpa 4 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1122 ##### term 1122 ##### gpa 4 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1124 ##### term 1124 ##### gpa 4 ##### count 1 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1132 ##### term 1132 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1134 ##### term 1134 ##### gpa 4 ##### count 4 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1142 ##### term 1142 ##### gpa 4 ##### count 4 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1144 ##### term 1144 ##### gpa 4 ##### count 5 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1162 ##### term 1162 ##### gpa 4 ##### count 1 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1164 ##### term 1164 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1172 ##### term 1172 ##### gpa 4 ##### count 4 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1174 ##### term 1174 ##### gpa 4 ##### count 5 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1182 ##### term 1182 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1184 ##### term 1184 ##### gpa 4 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1192 ##### term 1192 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1194 ##### term 1194 ##### gpa 4 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1202 ##### term 1202 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1204 ##### term 1204 ##### gpa 4 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1212 ##### term 1212 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1222 ##### term 1222 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1224 ##### term 1224 ##### gpa 4 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1232 ##### term 1232 ##### gpa 4 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1234 ##### term 1234 ##### gpa 4 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1242 ##### term 1242 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1244 ##### term 1244 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1252 ##### term 1252 ##### gpa 4 ##### count 5 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1254 ##### term 1254 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1262 ##### term 1262 ##### gpa 4 ##### count 5 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | #### 1264 ##### term 1264 ##### gpa 4 ##### count 5 ##### departments | subject | comparison | | ------- | ---------- | | MEDSC-V | | ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### MEDSC-V ###### size 21 ###### gpa 3.847909294098164 ###### top Share 89.44010222712387 ###### count 394 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_a2b56439fc53df2cfd8e89bc", "name": "HELENA RYLANDER", "count": 315, "terms": [ { "term": "1072", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1074", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1082", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1084", "count": 14, "sections": 1, "gpa": 4 }, { "term": "1092", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1094", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1102", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1104", "count": 14, "sections": 1, "gpa": 4 }, { "term": "1112", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1114", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1122", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1124", "count": 1, "sections": 1, "gpa": 4 }, { "term": "1132", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1134", "count": 4, "sections": 1, "gpa": 4 }, { "term": "1142", "count": 4, "sections": 1, "gpa": 4 }, { "term": "1144", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1162", "count": 1, "sections": 1, "gpa": 4 }, { "term": "1164", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1172", "count": 4, "sections": 1, "gpa": 4 }, { "term": "1174", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1182", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1184", "count": 13, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1194", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1202", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1204", "count": 17, "sections": 1, "gpa": 4 }, { "term": "1212", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1222", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1224", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1234", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1242", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 5, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_393a2232ea7351b3da757990", "name": "STARR CAMERON", "count": 150, "terms": [ { "term": "1184", "count": 13, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1194", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1202", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1204", "count": 17, "sections": 1, "gpa": 4 }, { "term": "1212", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1222", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1224", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1234", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1242", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 5, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_a33de376fffe3f285d354ffb", "name": "HEIDI BARNES HELLER", "count": 105, "terms": [ { "term": "1114", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1122", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1124", "count": 1, "sections": 1, "gpa": 4 }, { "term": "1132", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1134", "count": 4, "sections": 1, "gpa": 4 }, { "term": "1142", "count": 4, "sections": 1, "gpa": 4 }, { "term": "1144", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1162", 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"instructor_4f83852f0a7a773ab37801ad", "name": "PIETRO F ADAMO", "count": 11, "terms": [ { "term": "1072", "count": 11, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_b4094261526e823ad565050b", "name": "TESSA SMITH", "count": 6, "terms": [ { "term": "1192", "count": 6, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_ea4a9afadb18d2674419c57b", "name": "SALIH EMINAGA", "count": 1, "terms": [ { "term": "1162", "count": 1, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded.