# ANSCI 135: Grand Challenges and Career Opportunities in Animal and Dairy Sciences | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_135) ## 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 09a0272d1cf43fa706ab4efecb97a3fe0e17c27953701d0040dcf4f97f5ad3d6 ### course id ANSCI 135 ### course uid course\_a06ce31f72c3cec32e293016 ### catalog version id 9e5452a57a5c01e8c94ff4878655347fbc95eaa13f65e0ac1b0dc0ae76a7ef1d ### course number 135 ### subjects * ANSCI ### title GRAND CHALLENGES AND CAREER OPPORTUNITIES IN ANIMAL AND DAIRY SCIENCES ### description Covers the current key challenges and opportunities in the broad fields of animal agriculture, animal biology, animal health, and veterinary medicine, as well as internship and career opportunities and professional development activities that will maximize the value of an undergraduate career at UW-Madison and provide preparation for post-graduation endeavors. ### requirements text None ### credits min 1 ### credits max 1 ### credit offering ids * 1272:604:026282 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 1cb41cbc8696bb30693e145647f092005e17ffa3f4bcc1ce4dbd0802920c8055 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ANSCI 135 covers key challenges and opportunities in animal agriculture, biology, health, and veterinary medicine, alongside career and professional development. ### llm topics * Animal agriculture * Animal biology * Animal health * Veterinary medicine * Internship and career opportunities ### llm skills * Preparation for post-graduation endeavors * Professional development activities ### llm assumed background None recorded. ### llm search phrases * animal agriculture career planning * veterinary medicine preparation * animal health internship * professional development undergraduate * UW-Madison animal sciences * post-graduation endeavors animal sciences ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 0950d6d45d6ca5f6b873ac4226021e18841cb2b3d7a38758228db59f3a306fd2 #### course id ANSCI 135 #### current instructors ```json [ { "instructor_uid": "instructor_e56ebb2a1cb59f47cc68e2e8", "message": "No course-specific reviews available", "name": "Bernadette O Rourke", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_f72fb3fb8fac14116b6dd90d", "message": "No course-specific reviews available", "name": "Yun Jiang", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "ANSCI 135", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "source_record": { "entity_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI 135", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "source_record": { "entity_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.85 GPA, 92.5% A/AB (n=93 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Fall 2023: 3.99 GPA, 100.0% A/AB (n=70 letter grades); Fall 2024: 3.83 GPA, 91.5% A/AB (n=71 letter grades); Fall 2025: 3.85 GPA, 92.5% A/AB (n=93 letter grades). ```json { "citations": [ { "course_id": "ANSCI 135", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 135", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 135", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history YUN JIANG is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI 135", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "source_record": { "entity_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI 135", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "source_record": { "entity_id": "9eaa9717-01a2-33f7-8fd2-f86a0abfccbc", "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": [], "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 | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------------- | ------------------- | -------------------------------- | -------------------------------- | ---------------------------------- | | instructor\_e56ebb2a1cb59f47cc68e2e8 | enrollment | borourke2 | netid | source\_identified | Bernadette O Rourke | BOROURKE2\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/BERNADETTE\_O\_ROURKE | | instructor\_f72fb3fb8fac14116b6dd90d | enrollment | jiang433 | netid | source\_identified | Yun Jiang | JIANG433\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/YUN\_JIANG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:604:026282", "course_id": "ANSCI 135", "course_uid": "course_a06ce31f72c3cec32e293016", "term_id": "1272", "source_course_id": "026282", "source_subject_id": "604", "title": "Grand Challenges and Career Opportunities in Animal and Dairy Sciences", "credits_min": 1, "credits_max": 1, "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:1272:26043", "term_id": "1272", "source_section_id": "26043", "identity_basis": "class_number", "section_number": "001", "section_type": "SEM", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 46, "waitlisted": 1, "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:1272:29734", "term_id": "1272", "source_section_id": "29734", "identity_basis": "class_number", "section_number": "002", "section_type": "SEM", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 46, "waitlisted": 4, "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_2749d67636603614b8964d98", "source": "madgrades", "source_instructor_id": "574231", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KENT WEIGEL", "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": 3.889, "graded": 389, "counts": [ 335, 29, 23, 1, 0, 0, 1 ], "sections": 93 }, "instructor_url": "/instructors/KENT_WEIGEL--instructor_2749d67636603614b8964d98" }, { "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_c3ba16d15938d977878a9834", "source": "madgrades", "source_instructor_id": "6687841", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUN JIANG", "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": 3.541, "graded": 157, "counts": [ 101, 15, 17, 11, 9, 3, 1 ], "sections": 9 }, "instructor_url": "/instructors/YUN_JIANG--instructor_c3ba16d15938d977878a9834" }, { "instructor_uid": "instructor_e56ebb2a1cb59f47cc68e2e8", "source": "enrollment", "source_instructor_id": "borourke2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Bernadette O Rourke", "email": "BOROURKE2@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/BERNADETTE_O_ROURKE" }, { "instructor_uid": "instructor_f72fb3fb8fac14116b6dd90d", "source": "enrollment", "source_instructor_id": "jiang433", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yun Jiang", "email": "JIANG433@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/YUN_JIANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 135", "course_uid": "course_a06ce31f72c3cec32e293016", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "BERNADETT OROURKE", "Kent Weigel" ], "a": 39, "ab": 1, "b": 6, "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": 46, "source_aliases": [ "ANSCI 135" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 135", "course_uid": "course_a06ce31f72c3cec32e293016", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "BERNADETT OROURKE", "Kent Weigel" ], "a": 68, "ab": 2, "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": 70, "source_aliases": [ "ANSCI 135" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 135", "course_uid": "course_a06ce31f72c3cec32e293016", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "BERNADETT OROURKE", "Kent Weigel" ], "a": 60, "ab": 5, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 71, "source_aliases": [ "ANSCI 135" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 135", "course_uid": "course_a06ce31f72c3cec32e293016", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "BERNADETT OROURKE", "Yun Jiang" ], "a": 82, "ab": 4, "b": 4, "bc": 0, "c": 2, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 93, "source_aliases": [ "ANSCI 135" ] } ] ``` ### statistics #### gpa 3.88 #### graded 280 #### counts * 249 * 12 * 14 * 1 * 2 * 0 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a06ce31f72c3cec32e293016-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a06ce31f72c3cec32e293016-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a06ce31f72c3cec32e293016-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a06ce31f72c3cec32e293016-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_a06ce31f72c3cec32e293016-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_a06ce31f72c3cec32e293016-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a06ce31f72c3cec32e293016-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a06ce31f72c3cec32e293016-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.880357142857143 #### count 280 #### university ##### size 2734 ##### gpa Percentile 70 ##### count Percentile 78 ##### median Count 105 ##### 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 | 6 | false | | 2.8–3.2 | 183 | false | | 3.2–3.6 | 704 | false | | 3.6–4.0 | 1840 | true | #### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 16, "gpaPercentile": 80, "countPercentile": 80, "medianCount": 137.5, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` ### terms #### 1232 ##### term 1232 ##### gpa 3.858695652173913 ##### count 46 ##### university ###### size 1216 ###### gpa Percentile 77 ###### count Percentile 30 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1242 ##### term 1242 ##### gpa 3.9857142857142858 ##### count 70 ##### university ###### size 1295 ###### gpa Percentile 95 ###### 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 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 10, "gpaPercentile": 89, "countPercentile": 67, "medianCount": 45, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.8309859154929575 ##### count 71 ##### university ###### size 1333 ###### gpa Percentile 70 ###### count Percentile 51 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1262 ##### term 1262 ##### gpa 3.849462365591398 ##### count 93 ##### university ###### size 1320 ###### gpa Percentile 70 ###### count Percentile 62 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 70, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2734 ###### gpa 3.6828436876066126 ###### top Share 83.37648184927653 ###### count 105 ##### ANSCI ###### size 16 ###### gpa 3.5419235034131438 ###### top Share 74.15369016189005 ###### count 137.5 #### terms ##### 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_8e80eb45785269e61c617526", "name": "BERNADETT OROURKE", "count": 280, "terms": [ { "term": "1232", "count": 46, "sections": 1, "gpa": 3.858695652173913 }, { "term": "1242", "count": 70, "sections": 1, "gpa": 3.9857142857142858 }, { "term": "1252", "count": 71, "sections": 2, "gpa": 3.8309859154929575 }, { "term": "1262", "count": 93, "sections": 2, "gpa": 3.849462365591398 } ] }, { "uid": "instructor_2749d67636603614b8964d98", "name": "KENT WEIGEL", "count": 187, "terms": [ { "term": "1232", "count": 46, "sections": 1, "gpa": 3.858695652173913 }, { "term": "1242", "count": 70, "sections": 1, "gpa": 3.9857142857142858 }, { "term": "1252", "count": 71, "sections": 2, "gpa": 3.8309859154929575 } ] }, { "uid": "instructor_c3ba16d15938d977878a9834", "name": "YUN JIANG", "count": 93, "terms": [ { "term": "1262", "count": 93, "sections": 2, "gpa": 3.849462365591398 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.8755963464620424 ### grades | grade | percentage | | ----- | ------------------- | | A | 88.53584045974664 | | AB | 4.361955620782829 | | B | 5.246063140888736 | | BC | 0.38169395778464826 | | C | 0.7285019086750006 | | D | 0 | | F | 0.7459449121221486 | ### source Terms * 1262 * 1252 * 1242 * 1232 ### source Count 280 ### same Season true ### historical Range * 3.830985915492958 * 3.9857142857142858