# ANSCI 415: Application of Monogastric Nutrition Principles | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_415) ## 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 ba429730273404dd7d2cabf357fc28fb059feedce2870f18ae9bd424326afe42 ### course id ANSCI 415 ### course uid course\_b627e8017af3c581837a69d7 ### catalog version id 156978dcba8b18696225e3d51e3795cb6d952e99e9f87f85b72505f5c44b26e1 ### course number 415 ### subjects * ANSCI ### title APPLICATION OF MONOGASTRIC NUTRITION PRINCIPLES ### description Nutrient requirements for growth and production of monogastric animals to include swine, poultry, and companion animals. Discuss concepts of establishing nutrient requirements and feeding strategies. Laboratory exercises are designed to develop problem solving skills required for the assessment of nutritional adequacy and economical soundness of feeding programs. ### requirements text DY SCI/​AN SCI  101, (BIOCHEM 301or501), or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:604:011869 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 99a5608200ae5c780a9606947a8d4984fe8c23fcd6d7113e29284666e1fb7ec3 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Applies monogastric nutrition principles to assess nutrient requirements and feeding strategies for swine, poultry, and companion animals. ### llm topics * Nutrient requirements and feeding strategies for monogastric animals. ### llm skills * Assessing nutritional adequacy and economical soundness of feeding programs. ### llm assumed background * Foundational knowledge in animal science, biochemistry, and biological metabolism. ### llm search phrases * monogastric nutrition * swine poultry companion animal feeding * nutrient requirements assessment * economical feeding programs ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 133b9302849714487822d73668c02613945521168582ed5d555638b50a96cc24 #### course id ANSCI 415 #### current instructors ```json [ { "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 One historical review claims attendance guarantees an A grade and rates the difficulty as low. ```json { "citations": [ { "instructor_name": "Thomas Crenshaw", "review_date": "2014-02-17 18:34:56 +0000 UTC", "review_id": "e26ca654fc073b33d5302cd5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:784253", "source_review_id": "UmF0aW5nLTIyODQ3MTk1", "source_url": "https://www.ratemyprofessors.com/professor/784253", "type": "review" } ] } ``` #### errors None recorded. #### historical context Tom Crenshaw is described as a great instructor who guarantees an A for attendance. The course features a fun group research project involving baby pigs. This review is from 2014, so it reflects historical teaching practices rather than current guarantees. ```json { "citations": [ { "instructor_name": "Thomas Crenshaw", "review_date": "2014-02-17 18:34:56 +0000 UTC", "review_id": "e26ca654fc073b33d5302cd5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:784253", "source_review_id": "UmF0aW5nLTIyODQ3MTk1", "source_url": "https://www.ratemyprofessors.com/professor/784253", "type": "review" } ] } ``` #### offered true #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Historical reviews of Thomas Crenshaw: A 2014 reviewer highly recommends Thomas Crenshaw, describing him as a great guy and suggesting the course is easy. ```json { "citations": [ { "instructor_name": "Thomas Crenshaw", "review_date": "2014-02-17 18:34:56 +0000 UTC", "review_id": "e26ca654fc073b33d5302cd5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:784253", "source_review_id": "UmF0aW5nLTIyODQ3MTk1", "source_url": "https://www.ratemyprofessors.com/professor/784253", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 3.67 GPA, 88.9% A/AB (n=9 letter grades). ```json { "citations": [ { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Thomas Crenshaw: A 2014 reviewer found the group research project fun and enjoyed working with baby pigs. ```json { "citations": [ { "instructor_name": "Thomas Crenshaw", "review_date": "2014-02-17 18:34:56 +0000 UTC", "review_id": "e26ca654fc073b33d5302cd5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:784253", "source_review_id": "UmF0aW5nLTIyODQ3MTk1", "source_url": "https://www.ratemyprofessors.com/professor/784253", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history THOMAS CRENSHAW is recorded teaching in Spring 2007, Fall 2007, Fall 2008, Fall 2009, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "source_record": { "entity_id": "dfe95dde-6730-33b3-8258-ac0a20462fa1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "DY SCI/AN SCI 101, (BIOCHEM 301or501), or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "ANSCI", "DYSCI" ], "timing": "prior" }, "evidence": "DY SCI/AN SCI 101", "id": "n1", "kind": "course" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "(BIOCHEM 301or501)", "id": "n2", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 301, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "BIOCHEM 301", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 501, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "(BIOCHEM 301or501)", "id": "n5", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n3", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------ | ------------------ | -------------------------------- | -------------------------------- | -------------------------- | | instructor\_48e69a7f00210428d6d44296 | enrollment | tdcrensh | netid | source\_identified | Tom Crenshaw | TDCRENSH\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/TOM\_CRENSHAW | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:604:011869", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1272", "source_course_id": "011869", "source_subject_id": "604", "title": "Application of Monogastric Nutrition Principles", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10461", "term_id": "1272", "source_section_id": "10461", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 27, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10462", "term_id": "1272", "source_section_id": "10462", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 27, "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_7c1fdbd7ed95b5ab80ee1047", "source": "madgrades", "source_instructor_id": "2601485", "identity_basis": "source_id", "identity_status": "source_identified", "name": "THOMAS CRENSHAW", "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": 6, "quality": 3.67, "difficulty": 2.5, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:784253", "source_url": "https://www.ratemyprofessors.com/professor/784253", "match_basis": "exact_name", "observed_at": "2026-09-07 16:02:11.612969+00:00", "courses": { "course_2ec34980f5763f12cad48552": { "review_count": 4, "quality": 3, "difficulty": 3.25, "quality_count": 4, "difficulty_count": 4 }, "course_b627e8017af3c581837a69d7": { "review_count": 1, "quality": 5, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.6620659873435346, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.243, "graded": 1650, "counts": [ 614, 332, 327, 173, 134, 51, 19 ], "sections": 183 }, "instructor_url": "/instructors/THOMAS_CRENSHAW--instructor_7c1fdbd7ed95b5ab80ee1047" }, { "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" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "THOMAS CRENSHAW" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "THOMAS CRENSHAW" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "THOMAS CRENSHAW" ], "a": 5, "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": 6, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "THOMAS CRENSHAW" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "THOMAS CRENSHAW" ], "a": 8, "ab": 1, "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": 9, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "THOMAS CRENSHAW" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "THOMAS CRENSHAW" ], "a": 8, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 8, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "THOMAS CRENSHAW" ], "a": 16, "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": 16, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "THOMAS CRENSHAW" ], "a": 9, "ab": 2, "b": 0, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "THOMAS CRENSHAW" ], "a": 7, "ab": 0, "b": 3, "bc": 0, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 14, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "THOMAS CRENSHAW" ], "a": 6, "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": 6, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "THOMAS CRENSHAW" ], "a": 5, "ab": 2, "b": 2, "bc": 1, "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 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "THOMAS CRENSHAW" ], "a": 7, "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": 7, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "THOMAS CRENSHAW" ], "a": 6, "ab": 2, "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": 9, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "THOMAS CRENSHAW" ], "a": 3, "ab": 3, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 9, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "THOMAS CRENSHAW" ], "a": 6, "ab": 2, "b": 1, "bc": 0, "c": 1, "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 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "THOMAS CRENSHAW" ], "a": 3, "ab": 2, "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": 6, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "THOMAS CRENSHAW" ], "a": 8, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 9, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "THOMAS CRENSHAW" ], "a": 6, "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": 6, "source_aliases": [ "ANSCI 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 415", "course_uid": "course_b627e8017af3c581837a69d7", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "THOMAS CRENSHAW" ], "a": 6, "ab": 2, "b": 0, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 10, "source_aliases": [ "ANSCI 415" ] } ] ``` ### statistics #### gpa 3.762 #### graded 143 #### counts * 109 * 16 * 10 * 2 * 5 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b627e8017af3c581837a69d7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b627e8017af3c581837a69d7-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b627e8017af3c581837a69d7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b627e8017af3c581837a69d7-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_b627e8017af3c581837a69d7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_b627e8017af3c581837a69d7-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_b627e8017af3c581837a69d7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_b627e8017af3c581837a69d7-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b627e8017af3c581837a69d7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b627e8017af3c581837a69d7-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.762237762237762 #### count 143 #### university ##### size 4299 ##### gpa Percentile 58 ##### count Percentile 43 ##### median Count 180 ##### 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 | 15 | false | | 2.8–3.2 | 363 | false | | 3.2–3.6 | 1260 | false | | 3.6–4.0 | 2661 | true | #### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 26, "gpaPercentile": 68, "countPercentile": 40, "medianCount": 171, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` ### terms #### 1092 ##### term 1092 ##### gpa 3.8333333333333335 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1112 ##### term 1112 ##### gpa 3.9444444444444446 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1132 ##### term 1132 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1142 ##### term 1142 ##### gpa 4 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1152 ##### term 1152 ##### gpa 3.7916666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1162 ##### term 1162 ##### gpa 3.142857142857143 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1172 ##### term 1172 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1182 ##### term 1182 ##### gpa 3.55 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1192 ##### term 1192 ##### gpa 4 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1202 ##### term 1202 ##### gpa 3.7777777777777777 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1212 ##### term 1212 ##### gpa 3.642857142857143 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1222 ##### term 1222 ##### gpa 3.6 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1232 ##### term 1232 ##### gpa 3.6666666666666665 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1242 ##### term 1242 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1252 ##### term 1252 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1262 ##### term 1262 ##### gpa 3.6666666666666665 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | ### benchmarks #### all ##### school ###### size 4299 ###### gpa 3.6459682004412723 ###### top Share 80.97353753206103 ###### count 180 ##### ANSCI ###### size 26 ###### gpa 3.474160185567105 ###### top Share 69.96021400428154 ###### count 171 #### terms ##### 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 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ##### 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 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### ANSCI ###### size 10 ###### gpa 3.4990696003570223 ###### top Share 71.28431255095414 ###### count 45 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_7c1fdbd7ed95b5ab80ee1047", "name": "THOMAS CRENSHAW", "count": 143, "terms": [ { "term": "1092", "count": 6, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1112", "count": 9, "sections": 1, "gpa": 3.9444444444444446 }, { "term": "1132", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1142", "count": 16, "sections": 1, "gpa": 4 }, { "term": "1152", "count": 12, "sections": 1, "gpa": 3.7916666666666665 }, { "term": "1162", "count": 14, "sections": 1, "gpa": 3.142857142857143 }, { "term": "1172", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1182", "count": 10, "sections": 1, "gpa": 3.55 }, { "term": "1192", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1202", "count": 9, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1212", "count": 7, "sections": 1, "gpa": 3.642857142857143 }, { "term": "1222", "count": 10, "sections": 1, "gpa": 3.6 }, { "term": "1232", "count": 6, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1242", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 9, "sections": 1, "gpa": 3.6666666666666665 } ] } ] ``` ## following None recorded.