# ANSCI/DYSCI 363: Principles of Animal Breeding | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_DYSCI_363) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 | 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| 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 7852f48ac853862f6c9e2c869968fcbb2dc61615db1c23d7c42924d9ad14408f ### course id ANSCI/DYSCI 363 ### course uid course\_0b1d3535af52427e29a5f7e9 ### catalog version id a9b42c2f23c8911ba0ce008ca4034e525c6a9032976d2635745324d846f8dc44 ### course number 363 ### subjects * ANSCI * DYSCI ### title PRINCIPLES OF ANIMAL BREEDING ### description Application of the principles of quantitative genetics to the improvement of livestock and poultry; breeding value estimation and selection techniques; effects of inbreeding and hybrid vigor; crossbreeding systems. ### requirements text AN SCI 361or concurrent enrollment (or DY SCI 361 prior to Fall 2026) ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 9214594cdac890b0f32abdbd2d9bd95fef23071b8121f4dbb57fd12634855e2f ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Application of quantitative genetics principles to livestock and poultry improvement, covering breeding value estimation, selection, inbreeding, and crossbreeding. ### llm topics * Quantitative genetics * Breeding value estimation and selection techniques * Inbreeding and hybrid vigor * Crossbreeding systems ### llm skills * Estimating breeding values and applying selection techniques. * Analyzing effects of inbreeding, hybrid vigor, and crossbreeding systems. ### llm assumed background * Foundational knowledge in quantitative genetics and animal breeding principles. * Prerequisite coursework in biology, zoology, botany, or biochemistry. ### llm search phrases * animal breeding quantitative genetics * livestock improvement selection techniques * breeding value estimation ANSCI 363 * inbreeding hybrid vigor crossbreeding ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 673704d3a9835f0f2fce1a4ce7c19e4a03da05da30c2eeb849cb29d093701a53 #### course id ANSCI/DYSCI 363 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Spring 2024: 3.25 GPA, 50.0% A/AB (n=20 letter grades); Spring 2025: 3.65 GPA, 76.9% A/AB (n=13 letter grades); Spring 2026: 3.61 GPA, 77.8% A/AB (n=9 letter grades). ```json { "citations": [ { "course_id": "ANSCI/DYSCI 363", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8984e38e-5780-39e2-bb10-4090ab10462e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ANSCI/DYSCI 363", "run_id": 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"run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 363", "course_uid": "course_0b1d3535af52427e29a5f7e9", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Guilherme Rosa" ], "a": 5, "ab": 0, "b": 13, "bc": 0, "c": 3, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "ANSCI/DYSCI 363" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 363", "course_uid": "course_0b1d3535af52427e29a5f7e9", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Guilherme Rosa" ], "a": 16, "ab": 1, "b": 8, "bc": 0, "c": 1, "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": 27, "source_aliases": [ "ANSCI/DYSCI 363" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 363", "course_uid": "course_0b1d3535af52427e29a5f7e9", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Guilherme Rosa" ], "a": 12, "ab": 1, "b": 10, "bc": 1, "c": 1, "d": 1, "f": 1, "satisfactory": 1, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "ANSCI/DYSCI 363" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 363", "course_uid": "course_0b1d3535af52427e29a5f7e9", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Guilherme Rosa" ], "a": 7, "ab": 1, "b": 3, "bc": 2, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "ANSCI/DYSCI 363" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 363", "course_uid": "course_0b1d3535af52427e29a5f7e9", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Guilherme Rosa" ], "a": 6, "ab": 3, "b": 8, "bc": 1, "c": 3, "d": 5, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "ANSCI/DYSCI 363" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 363", "course_uid": "course_0b1d3535af52427e29a5f7e9", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Guilherme Rosa" ], "a": 4, "ab": 6, "b": 8, "bc": 0, "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": 20, "source_aliases": [ "ANSCI/DYSCI 363" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 363", "course_uid": "course_0b1d3535af52427e29a5f7e9", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Guilherme Rosa" ], "a": 7, "ab": 3, "b": 3, "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/DYSCI 363" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 363", "course_uid": "course_0b1d3535af52427e29a5f7e9", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Guilherme Rosa" ], "a": 6, "ab": 1, "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": 9, "source_aliases": [ "ANSCI/DYSCI 363" ] } ] ``` ### statistics #### gpa 3.142 #### graded 523 #### counts * 201 * 44 * 156 * 29 * 60 * 25 * 8 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0b1d3535af52427e29a5f7e9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0b1d3535af52427e29a5f7e9-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0b1d3535af52427e29a5f7e9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0b1d3535af52427e29a5f7e9-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0b1d3535af52427e29a5f7e9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0b1d3535af52427e29a5f7e9-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.14244741873805 #### count 523 #### university ##### size 4298 ##### gpa Percentile 6 ##### count Percentile 77 ##### median Count 170 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 12 | false | | 2.8–3.2 | 316 | true | | 3.2–3.6 | 1235 | false | | 3.6–4.0 | 2735 | false | #### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 22, "gpaPercentile": 29, "countPercentile": 62, "medianCount": 283.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 10, "current": false } ] } }, { "subject": "DYSCI", "comparison": { "size": 14, "gpaPercentile": 15, "countPercentile": 69, "medianCount": 290.5, "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": 3, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 2.878787878787879 ##### count 33 ##### university ###### size 695 ###### gpa Percentile 11 ###### count Percentile 6 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | true | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1084 ##### term 1084 ##### gpa 2.9696969696969697 ##### count 33 ##### university ###### size 720 ###### gpa Percentile 16 ###### count Percentile 7 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | true | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1094 ##### term 1094 ##### gpa 3.3676470588235294 ##### count 34 ##### university ###### size 758 ###### gpa Percentile 48 ###### count Percentile 9 ###### 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 | true | | 3.6–4.0 | 236 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1104 ##### term 1104 ##### gpa 3.0444444444444443 ##### count 45 ##### university ###### size 793 ###### gpa Percentile 20 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1114 ##### term 1114 ##### gpa 3.088235294117647 ##### count 34 ##### university ###### size 804 ###### gpa Percentile 25 ###### count Percentile 9 ###### 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 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1124 ##### term 1124 ##### gpa 3.090909090909091 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1134 ##### term 1134 ##### gpa 3.2794117647058822 ##### count 34 ##### university ###### size 852 ###### gpa Percentile 38 ###### count Percentile 10 ###### 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 | | | DYSCI | | #### 1144 ##### term 1144 ##### gpa 3.196969696969697 ##### count 33 ##### university ###### size 878 ###### gpa Percentile 31 ###### count Percentile 7 ###### 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 | true | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1154 ##### term 1154 ##### gpa 3.3676470588235294 ##### count 34 ##### university ###### size 935 ###### gpa Percentile 43 ###### count Percentile 7 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 11, "medianCount": 45, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "DYSCI", "comparison": null } ] ``` #### 1164 ##### term 1164 ##### gpa 3.2916666666666665 ##### count 36 ##### university ###### size 965 ###### gpa Percentile 34 ###### count Percentile 12 ###### 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 | true | | 3.6–4.0 | 390 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1174 ##### term 1174 ##### gpa 2.5217391304347827 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1184 ##### term 1184 ##### gpa 2.8333333333333335 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1194 ##### term 1194 ##### gpa 3.5 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1204 ##### term 1204 ##### gpa 3.2222222222222223 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1224 ##### term 1224 ##### gpa 3.21875 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1234 ##### term 1234 ##### gpa 2.769230769230769 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1244 ##### term 1244 ##### gpa 3.25 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1254 ##### term 1254 ##### gpa 3.6538461538461537 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1264 ##### term 1264 ##### gpa 3.611111111111111 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | ### benchmarks #### all ##### school ###### size 4298 ###### gpa 3.6599169512129595 ###### top Share 81.92066096643725 ###### count 170 ##### ANSCI ###### size 22 ###### gpa 3.5001377797077833 ###### top Share 71.01003984860633 ###### count 283.5 ##### DYSCI ###### size 14 ###### gpa 3.6367351353760853 ###### top Share 79.0375155520235 ###### count 290.5 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### ANSCI ###### size 10 ###### gpa 3.2565775374299597 ###### top Share 53.35870850061716 ###### count 45 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ANSCI ###### size 11 ###### gpa 3.4872599039104415 ###### top Share 69.71753566211373 ###### count 68 ## instructor Trends ```json [ { "uid": "instructor_7ff8972a01384bfddd7b23e2", "name": "GUILHERME ROSA", "count": 523, "terms": [ { "term": "1074", "count": 33, "sections": 1, "gpa": 2.878787878787879 }, { "term": "1084", "count": 33, "sections": 1, "gpa": 2.9696969696969697 }, { "term": "1094", "count": 34, "sections": 1, "gpa": 3.3676470588235294 }, { "term": "1104", "count": 45, "sections": 1, "gpa": 3.0444444444444443 }, { "term": "1114", "count": 34, "sections": 1, "gpa": 3.088235294117647 }, { "term": "1124", "count": 22, "sections": 1, "gpa": 3.090909090909091 }, { "term": "1134", "count": 34, "sections": 1, "gpa": 3.2794117647058822 }, { "term": "1144", "count": 33, "sections": 1, "gpa": 3.196969696969697 }, { "term": "1154", "count": 34, "sections": 1, "gpa": 3.3676470588235294 }, { "term": "1164", "count": 36, "sections": 1, "gpa": 3.2916666666666665 }, { "term": "1174", "count": 23, "sections": 1, "gpa": 2.5217391304347827 }, { "term": "1184", "count": 24, "sections": 1, "gpa": 2.8333333333333335 }, { "term": "1194", "count": 27, "sections": 1, "gpa": 3.5 }, { "term": "1204", "count": 27, "sections": 1, "gpa": 3.2222222222222223 }, { "term": "1224", "count": 16, "sections": 1, "gpa": 3.21875 }, { "term": "1234", "count": 26, "sections": 1, "gpa": 2.769230769230769 }, { "term": "1244", "count": 20, "sections": 1, "gpa": 3.25 }, { "term": "1254", "count": 13, "sections": 1, "gpa": 3.6538461538461537 }, { "term": "1264", "count": 9, "sections": 1, "gpa": 3.611111111111111 } ] }, { "uid": "instructor_54cafdf4de3f0e23ad342064", "name": "DAVID THOMAS", "count": 338, "terms": [ { "term": "1074", "count": 33, "sections": 1, "gpa": 2.878787878787879 }, { "term": "1084", "count": 33, "sections": 1, "gpa": 2.9696969696969697 }, { "term": "1094", "count": 34, "sections": 1, "gpa": 3.3676470588235294 }, { "term": "1104", "count": 45, "sections": 1, "gpa": 3.0444444444444443 }, { "term": "1114", "count": 34, "sections": 1, "gpa": 3.088235294117647 }, { "term": "1124", "count": 22, "sections": 1, "gpa": 3.090909090909091 }, { "term": "1134", "count": 34, "sections": 1, "gpa": 3.2794117647058822 }, { "term": "1144", "count": 33, "sections": 1, "gpa": 3.196969696969697 }, { "term": "1154", "count": 34, "sections": 1, "gpa": 3.3676470588235294 }, { "term": "1164", "count": 36, "sections": 1, "gpa": 3.2916666666666665 } ] }, { "uid": "instructor_f1712a10945d04378bc4085c", "name": "BRIAN KIRKPATRICK", "count": 67, "terms": [ { "term": "1144", "count": 33, "sections": 1, "gpa": 3.196969696969697 }, { "term": "1154", "count": 34, "sections": 1, "gpa": 3.3676470588235294 } ] }, { "uid": "instructor_f4e3536e4beb66781d926858", "name": "HASAN KHATIB", "count": 67, "terms": [ { "term": "1144", "count": 33, "sections": 1, "gpa": 3.196969696969697 }, { "term": "1154", "count": 34, "sections": 1, "gpa": 3.3676470588235294 } ] } ] ``` ## following None recorded.