# GENETICS 588: Immunogenetics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENETICS_588) ## 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 3bf3224e9d8a5a371eab0d6b9b4218bf1db62b13ef45a771ef7a9b810e2ffb80 ### course id GENETICS 588 ### course uid course\_d5fe007e714626ebcce31174 ### catalog version id 578e62c6c8f8ed329bdd5fb6b62f0bdb607e5baed029685e7b487808f60af463 ### course number 588 ### subjects * GENETICS ### title IMMUNOGENETICS ### description Explores the interaction between genetics and the immune system. Examines the genetic mechanisms that drive the immunological and clinical differences observed between individuals when confronted with the same environment of immunological insults, such as COVID-19, influenza, allergies and cancer. Stresses clinical and research perspectives and their societal implications. ### requirements text GENETICS 466,467orBIOCORE 383 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:412:026294 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 237358685a2180d292c93a29dc543a3accda75104234b17e8a91a7ae884c3a3f ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary IMMUNOGENETICS explores the interaction between genetics and the immune system, examining genetic mechanisms behind individual immunological differences. ### llm topics * Genetic mechanisms of individual immunological variation. * Immunological responses to specific insults (COVID-19, influenza, allergies, cancer). * Clinical and research perspectives in immunogenetics. ### llm skills * Understanding genetic mechanisms driving immunological differences. * Analyzing clinical and research perspectives with societal implications. ### llm assumed background * Foundational knowledge in genetics (transmission, molecular, evolutionary) and cellular biology. ### llm search phrases * immunogenetics course * genetics immune system interaction * clinical immunogenetics * genetic basis of immune response ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 06124352b0578a21bbe54f81616f82465f3d09b1b4f0732fa2a6cbabf9a1399f #### course id GENETICS 588 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2023: 3.86 GPA, 89.5% A/AB (n=38 letter grades); Fall 2024: 3.96 GPA, 97.8% A/AB (n=45 letter grades); Fall 2025: 3.97 GPA, 98.1% A/AB (n=53 letter grades). ```json { "citations": [ { "course_id": "GENETICS 588", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "11a827c4-eac3-3afd-b0a7-fbea80ecb015", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "GENETICS 588", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "11a827c4-eac3-3afd-b0a7-fbea80ecb015", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GENETICS 588", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "11a827c4-eac3-3afd-b0a7-fbea80ecb015", "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 None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "GENETICS 466,467orBIOCORE 383", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 466, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "GENETICS 466", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 467, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "467", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 383, "minimum_grade": null, "subjects": [ "BIOCORE" ], "timing": "prior" }, "evidence": "BIOCORE 383", "id": "n3", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:412:026294", "course_id": "GENETICS 588", "course_uid": "course_d5fe007e714626ebcce31174", "term_id": "1272", "source_course_id": "026294", "source_subject_id": "412", "title": "Immunogenetics", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_1125e32a6db45daca9f32995", "source": "madgrades", "source_instructor_id": "3557498", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NICHOLAS ZUMWALDE", "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": 14, "quality": 4.93, "difficulty": 2.86, "quality_count": 14, "difficulty_count": 14, "profile_id": "rmp:2588888", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "match_basis": "exact_name", "observed_at": "2026-09-07 16:14:06.625306+00:00", "courses": { "course_5c14b69a1b9f2b9d47b65a0f": { "review_count": 4, "quality": 4.75, "difficulty": 2.25, "quality_count": 4, "difficulty_count": 4 }, "course_0f207765609f55e3e63e1351": { "review_count": 3, "quality": 5, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.182756343262703, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.812, "graded": 1454, "counts": [ 1167, 132, 117, 14, 12, 3, 9 ], "sections": 31 }, "instructor_url": "/instructors/NICHOLAS_ZUMWALDE" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 588", "course_uid": "course_d5fe007e714626ebcce31174", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 30, "ab": 5, "b": 5, "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": 40, "source_aliases": [ "GENETICS 588" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 588", "course_uid": "course_d5fe007e714626ebcce31174", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 31, "ab": 3, "b": 4, "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": 38, "source_aliases": [ "GENETICS 588" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 588", "course_uid": "course_d5fe007e714626ebcce31174", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 42, "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": 45, "source_aliases": [ "GENETICS 588" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 588", "course_uid": "course_d5fe007e714626ebcce31174", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 51, "ab": 1, "b": 1, "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": 54, "source_aliases": [ "GENETICS 588" ] } ] ``` ### statistics #### gpa 3.906 #### graded 176 #### counts * 154 * 11 * 11 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d5fe007e714626ebcce31174-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d5fe007e714626ebcce31174-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d5fe007e714626ebcce31174-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d5fe007e714626ebcce31174-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d5fe007e714626ebcce31174-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d5fe007e714626ebcce31174-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.90625 #### count 176 #### university ##### size 2734 ##### gpa Percentile 74 ##### count Percentile 67 ##### 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": "GENETICS", "comparison": { "size": 22, "gpaPercentile": 71, "countPercentile": 67, "medianCount": 99, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` ### terms #### 1232 ##### term 1232 ##### gpa 3.8125 ##### count 40 ##### university ###### size 1216 ###### gpa Percentile 71 ###### count Percentile 21 ###### 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 | | -------- | ---------- | | GENETICS | | #### 1242 ##### term 1242 ##### gpa 3.8552631578947367 ##### count 38 ##### university ###### size 1295 ###### gpa Percentile 74 ###### count Percentile 19 ###### 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": "GENETICS", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 27, "medianCount": 55.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.9555555555555557 ##### count 45 ##### university ###### size 1333 ###### gpa Percentile 90 ###### count Percentile 29 ###### 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 ```json [ { "subject": "GENETICS", "comparison": { "size": 12, "gpaPercentile": 100, "countPercentile": 36, "medianCount": 52.5, "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": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.9716981132075473 ##### count 53 ##### university ###### size 1320 ###### gpa Percentile 92 ###### count Percentile 35 ###### 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": "GENETICS", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 50, "medianCount": 53, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2734 ###### gpa 3.6828436876066126 ###### top Share 83.37648184927653 ###### count 105 ##### GENETICS ###### size 22 ###### gpa 3.715651943114163 ###### top Share 85.41637233417718 ###### count 99 #### 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 ###### GENETICS ###### size 12 ###### gpa 3.5884554184793362 ###### top Share 77.27523156397659 ###### count 55.5 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### GENETICS ###### size 12 ###### gpa 3.630871422034851 ###### top Share 79.70819282550313 ###### count 52.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### GENETICS ###### size 13 ###### gpa 3.698788127912363 ###### top Share 83.51083061370407 ###### count 53 ## instructor Trends ```json [ { "uid": "instructor_1125e32a6db45daca9f32995", "name": "NICHOLAS ZUMWALDE", "count": 176, "terms": [ { "term": "1232", "count": 40, "sections": 1, "gpa": 3.8125 }, { "term": "1242", "count": 38, "sections": 1, "gpa": 3.8552631578947367 }, { "term": "1252", "count": 45, "sections": 1, "gpa": 3.9555555555555557 }, { "term": "1262", "count": 53, "sections": 1, "gpa": 3.9716981132075473 } ] } ] ``` ## following None recorded.