# ANSCI 375: Special Topics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_375) ## 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 af0646da57dd42eff837dd13a0872870724e413b113e6c5dfb72c225dc1dc79f ### course id ANSCI 375 ### course uid course\_d2a821df077700e9890994c7 ### catalog version id ef155e88c429c6b45d27140dd5b20e747aaf77749abb9d3911f387a1ca4deb2b ### course number 375 ### subjects * ANSCI ### title SPECIAL TOPICS ### description Various topics in Animal Science of current interest to undergraduate students. ### requirements text None ### credits min 1 ### credits max 4 ### credit offering ids * 1272:604:011865 * 1272:604:011865.48 * 1272:604:011865.51 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 84651223ac2385732a77d979fcb5b90f4d9db4a4bcbab5f0a5db801b8618b639 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ANSCI 375 covers various topics in Animal Science of current interest to undergraduate students. ### llm topics * Animal Science ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * ANSCI 375 special topics animal science * ANSCI 375 undergraduate animal science topics * ANSCI 375 current interest animal science ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 099070a77a199be7107159f11663f12d33d92df49e61beab3ff5c1f16d0d61ea #### course id ANSCI 375 #### current instructors ```json [ { "instructor_uid": "instructor_70c89fd0cc6723d3a5815282", "message": "No course-specific reviews available", "name": "Brian Kirkpatrick", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3073994", "summary": [ { "citations": [ { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Fall 2025: 3.88 GPA, 91.7% A/AB (n=12 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_48e69a7f00210428d6d44296", "message": "No course-specific reviews available", "name": "Tom Crenshaw", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Francisco Peñagaricano: The course features a 70% weighted quiz component with timed, multi-choice exams every two weeks, where being unprepared can quickly lower your grade. ```json { "citations": [ { "instructor_name": "Francisco Peñagaricano", "review_date": "2022-12-26 20:30:50 +0000 UTC", "review_id": "68e8d90f3c5c65beec94b3ee", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2870765", "source_review_id": "UmF0aW5nLTM3MjQ2MTk4", "source_url": "https://www.ratemyprofessors.com/professor/2870765", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Francisco Peñagaricano: Francisco Peñagaricano is described as a brilliant, curious, and encouraging teacher who is kind to all students. He teaches a genetics class that is considered great for all majors, though it involves frequent timed quizzes that can lower grades if students are unprepared. ```json { "citations": [ { "instructor_name": "Francisco Peñagaricano", "review_date": "2022-12-26 20:30:50 +0000 UTC", "review_id": "68e8d90f3c5c65beec94b3ee", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2870765", "source_review_id": "UmF0aW5nLTM3MjQ2MTk4", "source_url": "https://www.ratemyprofessors.com/professor/2870765", "type": "review" } ] } ``` #### offered true #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Historical reviews of Francisco Peñagaricano: Francisco Peñagaricano is a brilliant and encouraging teacher who makes the genetics material accessible to all majors, though the frequent high-stakes quizzes require consistent preparation. ```json { "citations": [ { "instructor_name": "Francisco Peñagaricano", "review_date": "2022-12-26 20:30:50 +0000 UTC", "review_id": "68e8d90f3c5c65beec94b3ee", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2870765", "source_review_id": "UmF0aW5nLTM3MjQ2MTk4", "source_url": "https://www.ratemyprofessors.com/professor/2870765", "type": "review" } ] } ``` Recent recorded grades — Fall 2024: 3.95 GPA, 94.7% A/AB (n=19 letter grades); Fall 2025: 3.86 GPA, 92.0% A/AB (n=25 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=13 letter grades). ```json { "citations": [ { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Francisco Peñagaricano: Students appreciate the engaging lecture style and the inclusive environment, though the workload includes presentations and chalk talks that demand significant preparation. ```json { "citations": [ { "instructor_name": "Francisco Peñagaricano", "review_date": "2022-12-26 20:30:50 +0000 UTC", "review_id": "68e8d90f3c5c65beec94b3ee", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2870765", "source_review_id": "UmF0aW5nLTM3MjQ2MTk4", "source_url": "https://www.ratemyprofessors.com/professor/2870765", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history BRIAN KIRKPATRICK is recorded teaching in Fall 2021, Fall 2022, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` CATHERINE JOBSIS is recorded teaching in Spring 2007, Spring 2008, Fall 2008, Spring 2009, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 9, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 9, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" } ] } ``` FRANCISCO PENAGARICANO is recorded teaching in Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` MARK E. COOK is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Fall 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "ANSCI 375", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "source_record": { "entity_id": "b396e310-a0a6-33fc-97a1-f094b1a9fbe6", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_70c89fd0cc6723d3a5815282", "source": "enrollment", "source_instructor_id": "bwkirkpa", "identity_basis": "netid", "identity_status": "source_identified", "name": "Brian Kirkpatrick", "email": "BWKIRKPA@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": 2, "quality": 3, "difficulty": 3, "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 }, "instructor_url": "/instructors/BRIAN_KIRKPATRICK" }, { "instructor_uid": "instructor_48e69a7f00210428d6d44296", "source": "enrollment", "source_instructor_id": "tdcrensh", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tom Crenshaw", "email": "TDCRENSH@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/TOM_CRENSHAW" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:604:011865", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1272", "source_course_id": "011865", "source_subject_id": "604", "title": "Special Topics", "credits_min": 1, "credits_max": 4, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:604:011865.48", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1272", "source_course_id": "011865.48", "source_subject_id": "604", "title": "Intro to Culinary Meat Science", "credits_min": 1, "credits_max": 4, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:604:011865.51", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1272", "source_course_id": "011865.51", "source_subject_id": "604", "title": "From Farm to Future", "credits_min": 1, "credits_max": 4, "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:1272:32999", "term_id": "1272", "source_section_id": "32999", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 19, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_fea56ae0bd592e1ca34a682d", "source": "madgrades", "source_instructor_id": "1076688", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHEL WATTIAUX", "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": 3.478, "graded": 673, "counts": [ 343, 115, 123, 51, 29, 12, 0 ], "sections": 166 }, "instructor_url": "/instructors/MICHEL_WATTIAUX--instructor_fea56ae0bd592e1ca34a682d" }, { "instructor_uid": "instructor_0f431baa3b5b3a80ada7cdf6", "source": "madgrades", "source_instructor_id": "2601971", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN PARRISH", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 7, "quality": 3.86, "difficulty": 2.86, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:1057026", "source_url": "https://www.ratemyprofessors.com/professor/1057026", "match_basis": "exact_name", "observed_at": "2026-09-07 16:32:07.276276+00:00", "courses": { "course_cbf1d61cc235a4f655b51dd3": { "review_count": 3, "quality": 3.67, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.711619098923404, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.452, "graded": 1343, "counts": [ 550, 347, 263, 136, 45, 2, 0 ], "sections": 123 }, "instructor_url": "/instructors/JOHN_PARRISH--instructor_0f431baa3b5b3a80ada7cdf6" }, { "instructor_uid": "instructor_5f2bad9551e300b9c0969a77", "source": "madgrades", "source_instructor_id": "2601520", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK E. COOK", "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": 3.378, "graded": 1452, "counts": [ 603, 206, 485, 65, 76, 2, 15 ], "sections": 126 }, "instructor_url": "/instructors/MARK_E_COOK--instructor_5f2bad9551e300b9c0969a77" }, { "instructor_uid": "instructor_9089f5ad81cd0dd1159eee60", "source": "madgrades", "source_instructor_id": "132528", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOAN LOUISE PARRISH", "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": 46, "counts": [ 46, 0, 0, 0, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/JOAN_LOUISE_PARRISH" }, { "instructor_uid": "instructor_ee3594fc803062d3784bc6fe", "source": "madgrades", "source_instructor_id": "237005", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CATHERINE JOBSIS", "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": 5, "difficulty": 1.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:982556", "source_url": "https://www.ratemyprofessors.com/professor/982556", "match_basis": "exact_name", "observed_at": "2026-09-07 16:49:30.843600+00:00", "courses": { "course_d2a821df077700e9890994c7": { "review_count": 2, "quality": 5, "difficulty": 1.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.443, "graded": 203, "counts": [ 100, 40, 32, 16, 11, 1, 3 ], "sections": 23 }, "instructor_url": "/instructors/CATHERINE_JOBSIS--instructor_ee3594fc803062d3784bc6fe" }, { "instructor_uid": "instructor_5cc8b320b23c1531c1716080", "source": "madgrades", "source_instructor_id": "2601704", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBERT G. KAUFFMAN", "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": 3.312, "graded": 8, "counts": [ 1, 3, 4, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ROBERT_G_KAUFFMAN" }, { "instructor_uid": "instructor_7d48cb0e9261fbb98b1752ce", "source": "madgrades", "source_instructor_id": "2633453", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RICHARD HENRY VILSTRUP", "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": 3.312, "graded": 8, "counts": [ 1, 3, 4, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/RICHARD_HENRY_VILSTRUP" }, { "instructor_uid": "instructor_d5dcc9d06ef00f4936789425", "source": "madgrades", "source_instructor_id": "2772462", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PATRICK J. LUBY", "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": 3.312, "graded": 8, "counts": [ 1, 3, 4, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/PATRICK_J_LUBY--instructor_d5dcc9d06ef00f4936789425" }, { "instructor_uid": "instructor_8e80eb45785269e61c617526", "source": "madgrades", "source_instructor_id": "897609", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BERNADETT OROURKE", "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": 3.874, "graded": 344, "counts": [ 297, 24, 18, 1, 2, 0, 2 ], "sections": 12 }, "instructor_url": "/instructors/BERNADETT_OROURKE--instructor_8e80eb45785269e61c617526" }, { "instructor_uid": "instructor_4c07f2c1af9bd75a36b4dc8e", "source": "madgrades", "source_instructor_id": "3922442", 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"term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Brian Kirkpatrick", "DHANANSAYAN SHANMUGANAYAGAM", "NADIA ALBER", "RONALD KEAN", "Wei Guo" ], "a": 29, "ab": 5, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "ANSCI 375" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "RONALD KEAN" ], "a": 10, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 10, "source_aliases": [ "ANSCI 375" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Brian Kirkpatrick", "Francisco Penagaricano", "Guilherme Rosa", "Kent Weigel", "NADIA ALBER", "RONALD KEAN" ], "a": 7, "ab": 2, "b": 4, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "ANSCI 375" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Hilario Mantovani", "Joao Reboucas Dorea", "RONALD KEAN", "Vanessa Leone" ], "a": 23, "ab": 4, "b": 2, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "ANSCI 375" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "RONALD KEAN" ], "a": 29, "ab": 0, "b": 0, "bc": 3, "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": 34, "source_aliases": [ "ANSCI 375" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "BERNADETT OROURKE", "Steven Ricke" ], "a": 18, "ab": 0, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "ANSCI 375" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "BERNADETT OROURKE", "Brian Kirkpatrick", "Steven Ricke", "THOMAS CRENSHAW" ], "a": 20, "ab": 3, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "ANSCI 375" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 375", "course_uid": "course_d2a821df077700e9890994c7", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Steven Ricke" ], "a": 13, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 13, "source_aliases": [ "ANSCI 375" ] } ] ``` ### statistics #### gpa 3.69 #### graded 1171 #### counts * 826 * 139 * 113 * 45 * 37 * 5 * 6 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d2a821df077700e9890994c7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d2a821df077700e9890994c7-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d2a821df077700e9890994c7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d2a821df077700e9890994c7-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_d2a821df077700e9890994c7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_d2a821df077700e9890994c7-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_d2a821df077700e9890994c7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_d2a821df077700e9890994c7-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d2a821df077700e9890994c7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d2a821df077700e9890994c7-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.69000853970965 #### count 1171 #### university ##### size 5654 ##### gpa Percentile 46 ##### count Percentile 85 ##### median Count 232 ##### 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 | 367 | false | | 3.2–3.6 | 1578 | false | | 3.6–4.0 | 3697 | true | #### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 40, "gpaPercentile": 56, "countPercentile": 90, "medianCount": 195.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 19, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.9722222222222223 ##### count 54 ##### university ###### size 695 ###### gpa Percentile 95 ###### count Percentile 37 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1082 ##### term 1082 ##### gpa 3.3125 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1084 ##### term 1084 ##### gpa 3.888888888888889 ##### count 72 ##### university ###### size 720 ###### gpa Percentile 90 ###### count Percentile 52 ###### 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 | false | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1092 ##### term 1092 ##### gpa 2.8333333333333335 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1094 ##### term 1094 ##### gpa 3.865168539325843 ##### count 89 ##### university ###### size 758 ###### gpa Percentile 87 ###### count Percentile 64 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1102 ##### term 1102 ##### gpa 3.2 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1104 ##### term 1104 ##### gpa 3.776315789473684 ##### count 38 ##### university ###### size 793 ###### gpa Percentile 82 ###### count Percentile 17 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1112 ##### term 1112 ##### gpa 3.4545454545454546 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1114 ##### term 1114 ##### gpa 3.8680555555555554 ##### count 72 ##### university ###### size 804 ###### gpa Percentile 86 ###### count Percentile 53 ###### 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 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1122 ##### term 1122 ##### gpa 3.5 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1124 ##### term 1124 ##### gpa 3.3043478260869565 ##### count 69 ##### university ###### size 821 ###### gpa Percentile 40 ###### count Percentile 51 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1132 ##### term 1132 ##### gpa 3.380952380952381 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1134 ##### term 1134 ##### gpa 3.4078947368421053 ##### count 38 ##### university ###### size 852 ###### gpa Percentile 49 ###### count Percentile 17 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1142 ##### term 1142 ##### gpa 3.264705882352941 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1144 ##### term 1144 ##### gpa 3.580246913580247 ##### count 81 ##### university ###### size 878 ###### gpa Percentile 64 ###### count Percentile 61 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1152 ##### term 1152 ##### gpa 2.9565217391304346 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1154 ##### term 1154 ##### gpa 3.84 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1162 ##### term 1162 ##### gpa 3.1041666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1164 ##### term 1164 ##### gpa 3.9714285714285715 ##### count 35 ##### university ###### size 965 ###### gpa Percentile 92 ###### count Percentile 10 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1172 ##### term 1172 ##### gpa 3.4473684210526314 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1174 ##### term 1174 ##### gpa 3.3958333333333335 ##### count 48 ##### university ###### size 955 ###### gpa Percentile 43 ###### count Percentile 31 ###### 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 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1182 ##### term 1182 ##### gpa 3.888888888888889 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1184 ##### term 1184 ##### gpa 3.882978723404255 ##### count 47 ##### university ###### size 1010 ###### gpa Percentile 86 ###### count Percentile 30 ###### 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 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1192 ##### term 1192 ##### gpa 4 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1194 ##### term 1194 ##### gpa 3.6 ##### count 35 ##### university ###### size 1040 ###### gpa Percentile 56 ###### count Percentile 10 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1202 ##### term 1202 ##### gpa 3.90625 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1204 ##### term 1204 ##### gpa 3.838709677419355 ##### count 62 ##### university ###### size 1012 ###### gpa Percentile 64 ###### count Percentile 48 ###### median Count 65.5 ###### 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 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1212 ##### term 1212 ##### gpa 3.933333333333333 ##### count 30 ##### university ###### size 1111 ###### gpa Percentile 88 ###### 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 | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1222 ##### term 1222 ##### gpa 3.9 ##### count 35 ##### university ###### size 1157 ###### gpa Percentile 84 ###### count Percentile 12 ###### 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 | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1224 ##### term 1224 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1232 ##### term 1232 ##### gpa 3.5 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1234 ##### term 1234 ##### gpa 3.734375 ##### count 32 ##### university ###### size 1188 ###### gpa Percentile 61 ###### count Percentile 5 ###### 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 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1244 ##### term 1244 ##### gpa 3.75 ##### count 34 ##### university ###### size 1241 ###### gpa Percentile 61 ###### count Percentile 9 ###### 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 | false | | 3.6–4.0 | 706 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1252 ##### term 1252 ##### gpa 3.9473684210526314 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1262 ##### term 1262 ##### gpa 3.86 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1264 ##### term 1264 ##### gpa 4 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | ### benchmarks #### all ##### school ###### size 5654 ###### gpa 3.668487561525151 ###### top Share 82.3764226760416 ###### count 232 ##### ANSCI ###### size 40 ###### gpa 3.5349168521185583 ###### top Share 72.97086949794078 ###### count 195.5 #### 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 ###### ANSCI ###### size 10 ###### gpa 3.2565775374299597 ###### top Share 53.35870850061716 ###### count 45 ##### 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 ##### 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 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### ANSCI ###### size 11 ###### gpa 3.569136261738081 ###### top Share 76.22979796022352 ###### count 70 ##### 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_0f431baa3b5b3a80ada7cdf6", "name": "JOHN PARRISH", "count": 229, "terms": [ { "term": "1074", "count": 20, "sections": 3, "gpa": 4 }, { "term": "1084", "count": 26, "sections": 3, "gpa": 4 }, { "term": "1094", "count": 19, "sections": 1, "gpa": 4 }, { "term": "1114", "count": 17, "sections": 1, "gpa": 4 }, { "term": "1124", "count": 20, "sections": 1, "gpa": 4 }, { "term": "1134", "count": 20, "sections": 1, "gpa": 3.075 }, { "term": "1144", "count": 19, "sections": 1, "gpa": 4 }, { "term": "1154", "count": 16, "sections": 1, "gpa": 4 }, { "term": "1164", "count": 22, "sections": 1, "gpa": 3.9545454545454546 }, { "term": "1184", "count": 21, "sections": 1, "gpa": 4 }, { "term": "1194", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1204", "count": 20, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_ee3594fc803062d3784bc6fe", "name": "CATHERINE JOBSIS", "count": 203, "terms": [ { "term": "1074", "count": 10, "sections": 1, "gpa": 3.85 }, { "term": "1084", "count": 10, "sections": 1, "gpa": 3.9 }, { "term": "1092", "count": 9, "sections": 1, "gpa": 2.8333333333333335 }, { "term": "1094", "count": 19, "sections": 1, "gpa": 3.8947368421052633 }, { "term": "1102", "count": 10, "sections": 1, "gpa": 3.2 }, { "term": "1104", "count": 11, "sections": 1, "gpa": 3.9545454545454546 }, { "term": "1112", "count": 11, "sections": 1, "gpa": 3.4545454545454546 }, { "term": "1114", "count": 13, "sections": 1, "gpa": 3.9615384615384617 }, { "term": "1122", "count": 15, "sections": 1, "gpa": 3.5 }, { "term": "1132", "count": 21, "sections": 1, "gpa": 3.380952380952381 }, { "term": "1142", "count": 17, "sections": 2, "gpa": 3.264705882352941 }, { "term": "1152", "count": 23, "sections": 2, "gpa": 2.9565217391304346 }, { "term": "1162", "count": 15, "sections": 1, "gpa": 2.966666666666667 }, { "term": "1172", "count": 19, "sections": 1, "gpa": 3.4473684210526314 } ] }, { "uid": "instructor_5cd09835674e7650e86020f1", "name": "DHANANSAYAN SHANMUGANAYAGAM", "count": 164, "terms": [ { "term": "1174", "count": 38, "sections": 1, "gpa": 3.236842105263158 }, { "term": "1182", "count": 9, "sections": 1, "gpa": 3.888888888888889 }, { "term": "1184", "count": 19, "sections": 1, "gpa": 3.710526315789474 }, { "term": "1192", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1194", "count": 26, "sections": 1, "gpa": 3.4615384615384617 }, { "term": "1202", "count": 9, "sections": 1, "gpa": 3.888888888888889 }, { "term": "1204", "count": 42, "sections": 1, "gpa": 3.761904761904762 }, { "term": "1222", "count": 9, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_5f2bad9551e300b9c0969a77", "name": "MARK E. COOK", "count": 162, "terms": [ { "term": "1074", "count": 24, "sections": 2, "gpa": 4 }, { "term": "1084", "count": 16, "sections": 1, "gpa": 3.9375 }, { "term": "1094", "count": 29, "sections": 2, "gpa": 3.7758620689655173 }, { "term": "1104", "count": 10, "sections": 2, "gpa": 3.7 }, { "term": "1114", "count": 29, "sections": 2, "gpa": 3.9310344827586206 }, { "term": "1124", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1134", "count": 12, "sections": 1, "gpa": 3.75 }, { "term": "1144", "count": 7, "sections": 1, "gpa": 3.4285714285714284 }, { "term": "1154", "count": 9, "sections": 2, "gpa": 3.5555555555555554 }, { "term": "1172", "count": 19, "sections": 1, "gpa": 3.4473684210526314 } ] }, { "uid": "instructor_07c288f6f57f8412dd8d50bb", "name": "RONALD KEAN", "count": 112, "terms": [ { "term": "1144", "count": 18, "sections": 1, "gpa": 3.8055555555555554 }, { "term": "1164", "count": 13, "sections": 1, "gpa": 4 }, { "term": "1174", "count": 10, "sections": 1, "gpa": 4 }, { 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"JOAN LOUISE PARRISH", "count": 46, "terms": [ { "term": "1074", "count": 20, "sections": 3, "gpa": 4 }, { "term": "1084", "count": 26, "sections": 3, "gpa": 4 } ] }, { "uid": "instructor_a56808f7deb84f002ff3afed", "name": "STEVEN RICKE", "count": 45, "terms": [ { "term": "1252", "count": 19, "sections": 1, "gpa": 3.9473684210526314 }, { "term": "1262", "count": 13, "sections": 1, "gpa": 3.8461538461538463 }, { "term": "1264", "count": 13, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_bdefef2bdc62d1b62cc086d8", "name": "ALICE WENTWORTH", "count": 42, "terms": [ { "term": "1124", "count": 42, "sections": 1, "gpa": 2.857142857142857 } ] }, { "uid": "instructor_08633bddebfd7e3d7fc72bd5", "name": "MILO WILTBANK", "count": 27, "terms": [ { "term": "1144", "count": 27, "sections": 1, "gpa": 3.185185185185185 } ] }, { "uid": "instructor_aae42af4ae39629489af8b77", "name": "LAURA HERNANDEZ", "count": 27, "terms": [ { "term": "1144", "count": 27, "sections": 1, "gpa": 3.185185185185185 } ] }, { "uid": "instructor_ddc2d03ba37b511e99a34509", "name": "AMIN FADL", "count": 27, "terms": [ { "term": "1094", "count": 10, "sections": 1, "gpa": 3.75 }, { "term": "1104", "count": 17, "sections": 1, "gpa": 3.7058823529411766 } ] }, { "uid": "instructor_4c07f2c1af9bd75a36b4dc8e", "name": "LIV SANDBERG", "count": 23, "terms": [ { "term": "1114", "count": 13, "sections": 1, "gpa": 3.4615384615384617 }, { "term": "1144", "count": 10, "sections": 1, "gpa": 3.55 } ] }, { "uid": "instructor_6df408e20392de3913957751", "name": "MARIA GIAKOUMOPOULOS", "count": 20, "terms": [ { "term": "1134", "count": 20, "sections": 1, "gpa": 3.075 } ] }, { "uid": "instructor_f1712a10945d04378bc4085c", "name": "BRIAN KIRKPATRICK", "count": 17, "terms": [ { "term": "1232", "count": 5, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 12, "sections": 1, "gpa": 3.875 } ] }, { "uid": "instructor_fea56ae0bd592e1ca34a682d", "name": "MICHEL WATTIAUX", "count": 15, "terms": [ { "term": "1134", "count": 6, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1162", "count": 9, "sections": 1, "gpa": 3.3333333333333335 } ] }, { "uid": "instructor_7c1fdbd7ed95b5ab80ee1047", "name": "THOMAS CRENSHAW", "count": 12, "terms": [ { "term": "1262", "count": 12, "sections": 1, "gpa": 3.875 } ] }, { "uid": "instructor_10bdf1948283855fa69caa22", "name": "VANESSA LEONE", "count": 9, "terms": [ { "term": "1234", "count": 9, "sections": 1, "gpa": 3.1666666666666665 } ] }, { "uid": "instructor_490919afe01d89d4f31ef725", "name": "HILARIO MANTOVANI", "count": 9, "terms": [ { "term": "1234", "count": 9, "sections": 1, "gpa": 3.1666666666666665 } ] }, { "uid": "instructor_d0fb18895e49f936198f78f9", "name": "FRANCISCO PENAGARICANO", "count": 9, "terms": [ { "term": "1232", "count": 9, "sections": 1, "gpa": 3.2222222222222223 } ] }, { "uid": "instructor_3cd10be80e459ad028961693", "name": "JOAO REBOUCAS DOREA", "count": 8, "terms": [ { "term": "1234", "count": 8, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_5cc8b320b23c1531c1716080", "name": "ROBERT G. KAUFFMAN", "count": 8, "terms": [ { "term": "1082", "count": 8, "sections": 1, "gpa": 3.3125 } ] }, { "uid": "instructor_7d48cb0e9261fbb98b1752ce", "name": "RICHARD HENRY VILSTRUP", "count": 8, "terms": [ { "term": "1082", "count": 8, "sections": 1, "gpa": 3.3125 } ] }, { "uid": "instructor_d5dcc9d06ef00f4936789425", "name": "PATRICK J. LUBY", "count": 8, "terms": [ { "term": "1082", "count": 8, "sections": 1, "gpa": 3.3125 } ] }, { "uid": "instructor_f4e3536e4beb66781d926858", "name": "HASAN KHATIB", "count": 7, "terms": [ { "term": "1202", "count": 7, "sections": 1, "gpa": 3.9285714285714284 } ] }, { "uid": "instructor_859695ea5a689de924aa00de", "name": "NADIA ALBER", "count": 5, "terms": [ { "term": "1232", "count": 5, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded.