# ANSCI 366: Concepts in Genomics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_366) ## 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 d4ff762d9890691a5d14a31833a57c8a1a7a40a7143a01173ae57bd3f8a41753 ### course id ANSCI 366 ### course uid course\_003916c45e062c91d8f242ed ### catalog version id 29006b6733f62e674ef96433fb9db1c4b555059b8ee24e0df74c3f2aadd9801e ### course number 366 ### subjects * ANSCI ### title CONCEPTS IN GENOMICS ### description Genomics has revolutionized many fields of science, including animal breeding, plant breeding, physiology, microbiology, and human medicine. A basic overview of the latest concepts in genomics, including 3D genome organization, the importance of genome annotation, the use of genomic testing in plant and animal breeding, the potential of genomic prediction on human medicine, and the latest advances in omics integration. ### requirements text Junior Standing andBOTANY/​BIOLOGY/​ZOOLOGY  152, (BIOLOGY/​ZOOLOGY  101,102, andBIOLOGY/​BOTANY  130),BIOCORE 381, or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:604:026283 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id e737d18dd95c6190cc61d9a6cad6ccc50f32c5f2f79b79d0050f5dc02975ac00 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ANSCI 366 provides an overview of genomics concepts, including 3D genome organization, annotation, and applications in breeding and medicine. ### llm topics * 3D genome organization * Genome annotation * Genomic testing in breeding * Genomic prediction in human medicine * Omics integration ### llm skills * Understanding 3D genome organization and genome annotation. * Applying genomic testing and prediction in breeding and medicine. ### llm assumed background * Introductory biology covering plant physiology, animal biology, genetics, and ecology. * Junior academic standing. ### llm search phrases * genomics concepts * 3D genome organization * genome annotation * genomic prediction * omics integration * animal breeding genomics * plant breeding genomics ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 05051785b9c876a21a8b86d0c792aace8bed629ea5b4ab3be809e98d20ae37a8 #### course id ANSCI 366 #### current instructors ```json [ { "instructor_uid": "instructor_b127da025ff3db5839e74093", "message": "No course-specific reviews available", "name": "Francisco Penagaricano", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2870765", "summary": [ { "citations": [ { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.66 GPA, 86.4% A/AB (n=22 letter grades); Fall 2024: 3.55 GPA, 81.1% A/AB (n=37 letter grades); Fall 2025: 3.62 GPA, 83.3% A/AB (n=30 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: 3.66 GPA, 86.4% A/AB (n=22 letter grades); Fall 2024: 3.55 GPA, 81.1% A/AB (n=37 letter grades); Fall 2025: 3.62 GPA, 83.3% A/AB (n=30 letter grades). ```json { "citations": [ { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "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 FRANCISCO PENAGARICANO is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI 366", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "source_record": { "entity_id": "b7fb1da8-02ff-3a37-bde6-8880109c47c0", "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", "n4", "n5" ], "condition": null, "course": null, "evidence": "Junior Standing andBOTANY/BIOLOGY/ZOOLOGY 152, (BIOLOGY/ZOOLOGY 101,102, andBIOLOGY/BOTANY 130),BIOCORE 381, or graduate/professional standing", "id": "n0", "kind": "all" }, { "children": [], "condition": "Junior Standing", "course": null, "evidence": "Junior Standing", "id": "n1", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 152, "minimum_grade": null, "subjects": [ "BIOLOGY", "BOTANY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "BOTANY/BIOLOGY/ZOOLOGY 152", "id": "n2", "kind": "course" }, { "children": [ "n3a", "n3b" ], "condition": null, "course": null, "evidence": "(BIOLOGY/ZOOLOGY 101,102, andBIOLOGY/BOTANY 130)", "id": "n3", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "BIOLOGY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "BIOLOGY/ZOOLOGY 101", "id": "n3a", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 102, "minimum_grade": null, "subjects": [ "BIOLOGY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "102", "id": "n3b", "kind": "course" }, { "children": [ "n4a", "n4b" ], "condition": null, "course": null, "evidence": "BIOLOGY/BOTANY 130", "id": "n4", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 130, "minimum_grade": null, "subjects": [ "BIOLOGY", "BOTANY" ], "timing": "prior" }, "evidence": "BIOLOGY/BOTANY 130", "id": "n4a", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n4b", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 381, "minimum_grade": null, "subjects": [ "BIOCORE" ], "timing": "prior" }, "evidence": "BIOCORE 381", "id": "n5", "kind": "course" } ] ``` #### notes * The text 'BOTANY/BIOLOGY/ZOOLOGY 152, (BIOLOGY/ZOOLOGY 101,102, andBIOLOGY/BOTANY 130),BIOCORE 381, or graduate/professional standing' is parsed as: (152 AND (101 AND 102 AND (130 OR graduate standing)) AND 381). The comma after 152 and the * parentheses around 101,102, and 130 suggest 152 is required, then a block containing 101, 102, and an alternative for 130/grad standing, then 381. The 'or' likely applies to the whole block or specific items. Given the ambiguity of 'and... * or' without clear grouping for the whole list, this is a best-effort parse. The 'or graduate/professional standing' is treated as an alternative to 130 based on proximity, but it might apply to the whole set. If it applies to the whole set, * the structure would be different. However, 'and' usually binds tighter. A safer parse might be: Junior AND (152 AND (101 AND 102 AND 130) AND 381) OR Graduate. But the text says 'and... or'. Let's stick to the local grouping: 152 is first. #### root n0 #### 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\_b127da025ff3db5839e74093 | enrollment | fpenagarican | netid | source\_identified | Francisco Penagaricano | FPENAGARICAN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/FRANCISCO\_PENAGARICANO | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:604:026283", "course_id": "ANSCI 366", "course_uid": "course_003916c45e062c91d8f242ed", "term_id": "1272", "source_course_id": "026283", "source_subject_id": "604", "title": "Concepts in Genomics", "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:1272:27413", "term_id": "1272", "source_section_id": "27413", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 45, "enrolled": 44, "waitlisted": 1, "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_d0fb18895e49f936198f78f9", "source": "madgrades", "source_instructor_id": "4708053", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FRANCISCO PENAGARICANO", "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": 3.585, "graded": 258, "counts": [ 119, 80, 51, 4, 3, 0, 1 ], "sections": 30 }, "instructor_url": "/instructors/FRANCISCO_PENAGARICANO--instructor_d0fb18895e49f936198f78f9" }, { "instructor_uid": "instructor_b127da025ff3db5839e74093", "source": "enrollment", "source_instructor_id": "fpenagarican", "identity_basis": "netid", "identity_status": "source_identified", "name": "Francisco Penagaricano", "email": "FPENAGARICAN@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/FRANCISCO_PENAGARICANO" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 366", "course_uid": "course_003916c45e062c91d8f242ed", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Francisco Penagaricano" ], "a": 10, "ab": 9, "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": 22, "source_aliases": [ "ANSCI 366" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 366", "course_uid": "course_003916c45e062c91d8f242ed", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Francisco Penagaricano" ], "a": 12, "ab": 18, "b": 6, "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": 37, "source_aliases": [ "ANSCI 366" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI 366", "course_uid": "course_003916c45e062c91d8f242ed", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Francisco Penagaricano" ], "a": 12, "ab": 13, "b": 5, "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": 31, "source_aliases": [ "ANSCI 366" ] } ] ``` ### statistics #### gpa 3.601 #### graded 89 #### counts * 34 * 40 * 14 * 1 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_003916c45e062c91d8f242ed-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_003916c45e062c91d8f242ed-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_003916c45e062c91d8f242ed-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_003916c45e062c91d8f242ed-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_003916c45e062c91d8f242ed-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_003916c45e062c91d8f242ed-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_003916c45e062c91d8f242ed-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_003916c45e062c91d8f242ed-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.601123595505618 #### count 89 #### university ##### size 2460 ##### gpa Percentile 33 ##### count Percentile 48 ##### median Count 94 ##### 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 | 6 | false | | 2.8–3.2 | 170 | false | | 3.2–3.6 | 630 | false | | 3.6–4.0 | 1654 | true | #### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 15, "gpaPercentile": 57, "countPercentile": 43, "medianCount": 131, "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": 7, "current": true } ] } } ] ``` ### terms #### 1242 ##### term 1242 ##### gpa 3.659090909090909 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1252 ##### term 1252 ##### gpa 3.554054054054054 ##### count 37 ##### university ###### size 1333 ###### gpa Percentile 38 ###### count Percentile 15 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | #### 1262 ##### term 1262 ##### gpa 3.6166666666666667 ##### count 30 ##### university ###### size 1320 ###### gpa Percentile 41 ###### count Percentile 0 ###### 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": 50, "countPercentile": 0, "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 2460 ###### gpa 3.6795793071535745 ###### top Share 83.15650336722103 ###### count 94 ##### ANSCI ###### size 15 ###### gpa 3.520064595751038 ###### top Share 73.05328052079966 ###### count 131 #### terms ##### 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_d0fb18895e49f936198f78f9", "name": "FRANCISCO PENAGARICANO", "count": 89, "terms": [ { "term": "1242", "count": 22, "sections": 1, "gpa": 3.659090909090909 }, { "term": "1252", "count": 37, "sections": 1, "gpa": 3.554054054054054 }, { "term": "1262", "count": 30, "sections": 1, "gpa": 3.6166666666666667 } ] } ] ``` ## following None recorded.