# GENETICS/MDGENET/POPHLTH 636: Public Health Genomics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENETICS_MDGENET_POPHLTH_636) ## 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 7fa2d7304799aee2944e6a4b16ed80795dd44a1298d29376a9d7ffc647a17356 ### course id GENETICS/MDGENET/POPHLTH 636 ### course uid course\_d0363fdaca7c29e52cf77692 ### catalog version id 52b1acfa4e0901b154df7999b5ad0392fa08396f7d036c4824273a883e805bde ### course number 636 ### subjects * GENETICS * MDGENET * POPHLTH ### title PUBLIC HEALTH GENOMICS ### description Provides an introduction to public health genomics through a review of fundamental principles of genetics, the use of genetic information in clinical and research settings, and its implications for disease management and prevention, and health promotion. Explores policies that guide public health and discusses current ethical, legal, and social implications of these policies. ### requirements text (Junior standing andZOOLOGY/​BIOLOGY/​BOTANY  151) or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id ce37d0a4ce7887a2244a8196b7d7923e2ff1fda6813451e867ac49eafe83b3ee ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary PUBLIC HEALTH GENOMICS introduces public health genomics, covering genetic principles, clinical/research applications, and policy implications. ### llm topics * Fundamental principles of genetics * Use of genetic information in clinical and research settings * Implications for disease management, prevention, and health promotion * Public health policies * Ethical, legal, and social implications (ELSI) ### llm skills * Understanding fundamental principles of genetics in public health context * Applying genetic information in clinical and research settings * Analyzing implications for disease management, prevention, and health promotion * Discussing ethical, legal, and social implications of public health policies ### llm assumed background * Introductory biology including genetics and cellular processes ### llm search phrases * public health genomics * genetic information clinical research * ethical legal social implications genetics * disease management prevention genomics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash d957a5328e216db77a3490f7a9fbab82d177805bac2125bfc5c7a3674581684b #### course id GENETICS/MDGENET/POPHLTH 636 #### 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 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2022: 3.44 GPA, 72.2% A/AB (n=18 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Spring 2026: 3.75 GPA, 88.9% A/AB (n=18 letter grades). ```json { "citations": [ { "course_id": "GENETICS/MDGENET/POPHLTH 636", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "686d6243-78ec-34b9-9d2c-3d00a1fceedb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "GENETICS/MDGENET/POPHLTH 636", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "686d6243-78ec-34b9-9d2c-3d00a1fceedb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENETICS/MDGENET/POPHLTH 636", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "686d6243-78ec-34b9-9d2c-3d00a1fceedb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "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" ], "condition": null, "course": null, "evidence": "(Junior standing andZOOLOGY/BIOLOGY/BOTANY 151) or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "Junior standing andZOOLOGY/BIOLOGY/BOTANY 151", "id": "n1", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 151, "minimum_grade": null, "subjects": [ "BIOLOGY", "BOTANY", "ZOOLOGY" ], "timing": "prior" }, "evidence": "ZOOLOGY/BIOLOGY/BOTANY 151", "id": "n2", "kind": "course" }, { "children": [], "condition": "Junior standing", "course": null, "evidence": "Junior standing", "id": "n3", "kind": "condition" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n4", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_68045b3e68890ee68492af3b", "source": "madgrades", "source_instructor_id": "961909", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CORINNE ENGELMAN", "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": 3.72, "graded": 532, "counts": [ 364, 87, 51, 19, 8, 2, 1 ], "sections": 91 }, "instructor_url": "/instructors/CORINNE_ENGELMAN--instructor_68045b3e68890ee68492af3b" }, { "instructor_uid": "instructor_b250d20898f8b4df08e05931", "source": "madgrades", "source_instructor_id": "6242431", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KAITLIN LENHART", "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": 3.444, "graded": 18, "counts": [ 9, 4, 1, 2, 2, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/KAITLIN_LENHART--instructor_b250d20898f8b4df08e05931" }, { "instructor_uid": "instructor_518050248f2c086c88cc14c7", "source": "madgrades", "source_instructor_id": "6697739", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SILVIA BARCELLOS", "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": 3.878, "graded": 37, "counts": [ 30, 5, 2, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/SILVIA_BARCELLOS--instructor_518050248f2c086c88cc14c7" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET/POPHLTH 636", "course_uid": "course_d0363fdaca7c29e52cf77692", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Corinne Engelman", "KAITLIN LENHART" ], "a": 9, "ab": 4, "b": 1, "bc": 2, "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": 18, "source_aliases": [ "GENETICS/MDGENET/POPHLTH 636" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET/POPHLTH 636", "course_uid": "course_d0363fdaca7c29e52cf77692", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Corinne Engelman", "SILVIA BARCELLOS" ], "a": 6, "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": 6, "source_aliases": [ "GENETICS/MDGENET/POPHLTH 636" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET/POPHLTH 636", "course_uid": "course_d0363fdaca7c29e52cf77692", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Corinne Engelman", "SILVIA BARCELLOS" ], "a": 11, "ab": 5, "b": 2, "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": 19, "source_aliases": [ "GENETICS/MDGENET/POPHLTH 636" ] } ] ``` ### statistics #### gpa 3.655 #### graded 42 #### counts * 26 * 9 * 3 * 2 * 2 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d0363fdaca7c29e52cf77692-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d0363fdaca7c29e52cf77692-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d0363fdaca7c29e52cf77692-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d0363fdaca7c29e52cf77692-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d0363fdaca7c29e52cf77692-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d0363fdaca7c29e52cf77692-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6547619047619047 #### count 42 #### university ##### size 2453 ##### gpa Percentile 39 ##### count Percentile 16 ##### median Count 88 ##### 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 | 17 | false | | 2.8–3.2 | 182 | false | | 3.2–3.6 | 626 | false | | 3.6–4.0 | 1628 | true | #### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 20, "gpaPercentile": 37, "countPercentile": 16, "medianCount": 74, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } }, { "subject": "MDGENET", "comparison": null }, { "subject": "POPHLTH", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 23, "medianCount": 56.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` ### terms #### 1224 ##### term 1224 ##### gpa 3.4444444444444446 ##### count 18 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | | POPHLTH | | #### 1254 ##### term 1254 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | | POPHLTH | | #### 1264 ##### term 1264 ##### gpa 3.75 ##### count 18 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | | POPHLTH | | ### benchmarks #### all ##### school ###### size 2453 ###### gpa 3.669210277846528 ###### top Share 82.70875003190086 ###### count 88 ##### GENETICS ###### size 20 ###### gpa 3.694315778523767 ###### top Share 84.19421606823161 ###### count 74 ##### POPHLTH ###### size 14 ###### gpa 3.7589435665677753 ###### top Share 86.84378538729902 ###### count 56.5 #### terms ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### GENETICS ###### size 10 ###### gpa 3.594240722988902 ###### top Share 77.27984404707018 ###### count 48.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### GENETICS ###### size 10 ###### gpa 3.7217207615932018 ###### top Share 85.53487628051057 ###### count 49.5 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_68045b3e68890ee68492af3b", "name": "CORINNE ENGELMAN", "count": 42, "terms": [ { "term": "1224", "count": 18, "sections": 1, "gpa": 3.4444444444444446 }, { "term": "1254", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 18, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_518050248f2c086c88cc14c7", "name": "SILVIA BARCELLOS", "count": 24, "terms": [ { "term": "1254", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 18, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_b250d20898f8b4df08e05931", "name": "KAITLIN LENHART", "count": 18, "terms": [ { "term": "1224", "count": 18, "sections": 1, "gpa": 3.4444444444444446 } ] } ] ``` ## following None recorded.