# ANSCI 336: Animal Growth and Development | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_336) ## 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 4d84f27cd34cb7f30dc729017318f972b6c219a71829922af750be307cde1a5d ### course id ANSCI 336 ### course uid course\_d5b60f99a3e2ee734347e573 ### catalog version id 21a031363cc75d8ffbd6e477301cd47d02a519638e51af29df35437a4996461f ### course number 336 ### subjects * ANSCI ### title ANIMAL GROWTH AND DEVELOPMENT ### description Covers growth and development of an animal from a single cell to an organism and factors such as nutrition, hormone, genetics and gut microbials influencing growth and development in both cell and tissue levels. Includes the molecular and cellular basis of prenatal and postnatal growth and development. Focuses on development and growth of tissues including muscle, adipose, connective, mammary, and bone tissues that are associated with animal production. Also includes the use of growth promotants in livestock to improve growth performance and increase the quality of carcasses and animal production. ### requirements text (ZOOLOGY/​BIOLOGY/​BOTANY  151and152), (ZOOLOGY/​BIOLOGY  101and102), orBIOCORE 383 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:604:026250 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 423504e4006dfb17b5034ef53cbb9f9b81fbdbfefebeade623ea448cfe858799 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ANSCI 336 covers the molecular and cellular basis of animal growth and development, focusing on tissue development and growth promotants in livestock. ### llm topics * Factors influencing growth, tissue-specific development, and livestock production technologies. ### llm skills * Understanding animal growth, tissue development, and the use of growth promotants. ### llm assumed background * Introductory biology covering cell biology, genetics, evolution, and ecology. ### llm search phrases * animal growth and development * livestock production * growth promotants * tissue development * molecular basis of growth ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 67b9905d8635f14538245a84608f19b89567b6b790627e5aff446250dbd27282 #### course id ANSCI 336 #### current instructors ```json [ { "instructor_uid": "instructor_cc39193778b3a2f3995f859d", "message": "No course-specific reviews available", "name": "Wei Guo", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3052815", "summary": [ { "citations": [ { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 4.00 GPA, 100.0% A/AB (n=39 letter grades); Fall 2024: 3.93 GPA, 97.9% A/AB (n=48 letter grades); Fall 2025: 3.97 GPA, 100.0% A/AB (n=50 letter grades)." } ] } ] ``` #### 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: 4.00 GPA, 100.0% A/AB (n=39 letter grades); Fall 2024: 3.93 GPA, 97.9% A/AB (n=48 letter grades); Fall 2025: 3.97 GPA, 100.0% A/AB (n=50 letter grades). ```json { "citations": [ { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "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 WEI GUO is recorded teaching in 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 336", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 336", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "source_record": { "entity_id": "0ef3a7bb-d50f-3d5d-abf4-ee8c4b438ab9", "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": "(ZOOLOGY/BIOLOGY/BOTANY 151and152), (ZOOLOGY/BIOLOGY 101and102), orBIOCORE 383", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "ZOOLOGY/BIOLOGY/BOTANY 151and152", "id": "n1", "kind": "all" }, { "children": [ "n6", "n7" ], "condition": null, "course": null, "evidence": "ZOOLOGY/BIOLOGY 101and102", "id": "n2", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 383, "minimum_grade": null, "subjects": [ "BIOCORE" ], "timing": "prior" }, "evidence": "BIOCORE 383", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 151, "minimum_grade": null, "subjects": [ "BIOLOGY", "BOTANY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "151", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 152, "minimum_grade": null, "subjects": [ "BIOLOGY", "BOTANY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "152", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "BIOLOGY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "101", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 102, "minimum_grade": null, "subjects": [ "BIOLOGY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "102", "id": "n7", "kind": "course" } ] ``` #### notes * The requirements allow one of three options: completing both 151 and 152, completing both 101 and 102, or completing BIOCORE 383. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_cc39193778b3a2f3995f859d", "source": "enrollment", "source_instructor_id": "wguo2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Wei Guo", "email": "WGUO2@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 5, "difficulty": 1, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:3052815", "source_url": "https://www.ratemyprofessors.com/professor/3052815", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:37.187827+00:00", "courses": {}, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/WEI_GUO" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:604:026250", "course_id": "ANSCI 336", "course_uid": "course_d5b60f99a3e2ee734347e573", "term_id": "1272", "source_course_id": "026250", "source_subject_id": "604", "title": "Animal Growth and Development", "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:1272:25892", "term_id": "1272", "source_section_id": "25892", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 76, "enrolled": 81, "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_1c60f3ae567da98e7b965791", "source": "madgrades", "source_instructor_id": "4957373", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WEI GUO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 5, "difficulty": 1, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:3052815", "source_url": "https://www.ratemyprofessors.com/professor/3052815", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:37.187827+00:00", "courses": {}, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.947, "graded": 235, "counts": [ 214, 17, 4, 0, 0, 0, 0 ], "sections": 41 }, "instructor_url": "/instructors/WEI_GUO--instructor_1c60f3ae567da98e7b965791" }, { "instructor_uid": "instructor_cc39193778b3a2f3995f859d", "source": "enrollment", "source_instructor_id": "wguo2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Wei Guo", "email": "WGUO2@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 5, "difficulty": 1, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:3052815", "source_url": "https://www.ratemyprofessors.com/professor/3052815", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:37.187827+00:00", "courses": {}, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/WEI_GUO" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 336", "course_uid": "course_d5b60f99a3e2ee734347e573", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Wei Guo" ], "a": 26, "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": 29, "source_aliases": [ "ANSCI 336" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 336", "course_uid": "course_d5b60f99a3e2ee734347e573", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Wei Guo" ], "a": 39, "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": 39, "source_aliases": [ "ANSCI 336" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 336", "course_uid": "course_d5b60f99a3e2ee734347e573", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Wei Guo" ], "a": 42, "ab": 5, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "ANSCI 336" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 336", "course_uid": "course_d5b60f99a3e2ee734347e573", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Wei Guo" ], "a": 47, "ab": 3, "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": 50, "source_aliases": [ "ANSCI 336" ] } ] ``` ### statistics #### gpa 3.958 #### graded 166 #### counts * 154 * 10 * 2 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d5b60f99a3e2ee734347e573-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d5b60f99a3e2ee734347e573-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d5b60f99a3e2ee734347e573-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d5b60f99a3e2ee734347e573-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_d5b60f99a3e2ee734347e573-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_d5b60f99a3e2ee734347e573-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d5b60f99a3e2ee734347e573-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d5b60f99a3e2ee734347e573-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9578313253012047 #### count 166 #### university ##### size 2734 ##### gpa Percentile 84 ##### count Percentile 66 ##### 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": 87, "countPercentile": 60, "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 3.9310344827586206 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1242 ##### term 1242 ##### gpa 4 ##### count 39 ##### university ###### size 1295 ###### gpa Percentile 96 ###### count Percentile 22 ###### 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": 100, "countPercentile": 44, "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 3.9270833333333335 ##### count 48 ##### university ###### size 1333 ###### gpa Percentile 85 ###### count Percentile 32 ###### 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 3.97 ##### count 50 ##### university ###### size 1320 ###### gpa Percentile 91 ###### count Percentile 33 ###### 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": 90, "countPercentile": 30, "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_1c60f3ae567da98e7b965791", "name": "WEI GUO", "count": 166, "terms": [ { "term": "1232", "count": 29, "sections": 1, "gpa": 3.9310344827586206 }, { "term": "1242", "count": 39, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 48, "sections": 1, "gpa": 3.9270833333333335 }, { "term": "1262", "count": 50, "sections": 1, "gpa": 3.97 } ] } ] ``` ## following None recorded.