# BIOCHEM/NUTRSCI 560: Principles of Human Disease and Biotechnology | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BIOCHEM_NUTRSCI_560) ## 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 510e056daacf95b8193bbf5e43086c1835d2698b74ca26fa7525daaf164f5f5a ### course id BIOCHEM/NUTRSCI 560 ### course uid course\_a4ea4119d651a0adf1ab4df1 ### catalog version id 9e1dd25c315a3dd25bf26a2571149268f0ac373a0f6363647fe1696e038301e0 ### course number 560 ### subjects * BIOCHEM * NUTRSCI ### title PRINCIPLES OF HUMAN DISEASE AND BIOTECHNOLOGY ### description Covers basic and applied biochemical principles related to human disease. Topics such as: cancer, including cell cycle regulation, oncogenes and tumor suppressors, and cellular metabolism; metabolic disorders, including cardiovascular disease, metabolic syndrome, and diabetes; biotechnology, including metabolomics, CRISPR-based genetic screens, and experimental models of human disease. ### requirements text BIOCHEM 501,507, NUTRI SCI 510, or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 614d6369a28c9f5211905fe0982a85212d3c32c6a404c08e8e93a9b3064bf4bb ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers biochemical principles of human disease and biotechnology applications. ### llm topics * Cancer and cell cycle regulation * Metabolic disorders and disease * Biotechnology and experimental models ### llm skills * Applying biochemical principles to human disease * Analyzing cancer mechanisms and cellular metabolism * Understanding metabolic disorders * Utilizing biotechnology and experimental models ### llm assumed background * Foundational biochemistry and metabolism * Nutritional biochemistry fundamentals ### llm search phrases * human disease biochemistry * cancer cell cycle regulation * metabolic disorders diabetes * CRISPR genetic screens * metabolomics biotechnology ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 965205bc9d332f0f96d93cb7b852cd449d71edebcc25fdf74ba277855ef34b2e #### course id BIOCHEM/NUTRSCI 560 #### 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 2025: 3.11 GPA, 22.9% A/AB (n=35 letter grades); Spring 2026: 3.46 GPA, 57.1% A/AB (n=42 letter grades). ```json { "citations": [ { "course_id": "BIOCHEM/NUTRSCI 560", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4e56f138-aa54-356a-a23c-fb7ac4cbef90", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM/NUTRSCI 560", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4e56f138-aa54-356a-a23c-fb7ac4cbef90", "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", "n3", "n4" ], "condition": null, "course": null, "evidence": "BIOCHEM 501,507, NUTRI SCI 510, or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 501, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "BIOCHEM 501", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 507, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "507", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 510, "minimum_grade": null, "subjects": [ "BIOCHEM", "NUTRSCI" ], "timing": "prior" }, "evidence": "NUTRI SCI 510", "id": "n3", "kind": "course" }, { "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_75a81d597d231b5585720b5e", "source": "madgrades", "source_instructor_id": "126166", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JASON CANTOR", "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": 3.34, "graded": 50, "counts": [ 15, 8, 24, 2, 1, 0, 0 ], "sections": 37 }, "instructor_url": "/instructors/JASON_CANTOR--instructor_75a81d597d231b5585720b5e" }, { "instructor_uid": "instructor_a123851e43cecdb37995301d", "source": "madgrades", "source_instructor_id": "3465181", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK MEYER", "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": 3.828, "graded": 311, "counts": [ 260, 6, 36, 7, 2, 0, 0 ], "sections": 22 }, "instructor_url": "/instructors/MARK_MEYER--instructor_a123851e43cecdb37995301d" }, { "instructor_uid": "instructor_524b486ccf0a39e7d3f68180", "source": "madgrades", "source_instructor_id": "6688054", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DUO XU", "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": 3.464, "graded": 42, "counts": [ 22, 2, 12, 5, 1, 0, 0 ], "sections": 7 }, "instructor_url": "/instructors/DUO_XU--instructor_524b486ccf0a39e7d3f68180" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/NUTRSCI 560", "course_uid": "course_a4ea4119d651a0adf1ab4df1", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Jason Cantor", "Mark Meyer" ], "a": 4, "ab": 4, "b": 24, "bc": 2, "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": 35, "source_aliases": [ "BIOCHEM/NUTRSCI 560" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/NUTRSCI 560", "course_uid": "course_a4ea4119d651a0adf1ab4df1", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Duo Xu", "Mark Meyer" ], "a": 22, "ab": 2, "b": 12, "bc": 5, "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": 42, "source_aliases": [ "BIOCHEM/NUTRSCI 560" ] } ] ``` ### statistics #### gpa 3.305 #### graded 77 #### counts * 26 * 6 * 36 * 7 * 2 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a4ea4119d651a0adf1ab4df1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a4ea4119d651a0adf1ab4df1-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a4ea4119d651a0adf1ab4df1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a4ea4119d651a0adf1ab4df1-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a4ea4119d651a0adf1ab4df1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a4ea4119d651a0adf1ab4df1-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3051948051948052 #### count 77 #### university ##### size 2021 ##### gpa Percentile 14 ##### count Percentile 49 ##### median Count 77 ##### 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 | 21 | false | | 2.8–3.2 | 152 | false | | 3.2–3.6 | 521 | true | | 3.6–4.0 | 1327 | false | #### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 18, "gpaPercentile": 24, "countPercentile": 47, "medianCount": 77, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "NUTRSCI", "comparison": { "size": 21, "gpaPercentile": 15, "countPercentile": 35, "medianCount": 84, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` ### terms #### 1254 ##### term 1254 ##### gpa 3.1142857142857143 ##### count 35 ##### university ###### size 1289 ###### gpa Percentile 8 ###### count Percentile 11 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 14, "gpaPercentile": 23, "countPercentile": 15, "medianCount": 54.5, "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": 3, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "NUTRSCI", "comparison": { "size": 16, "gpaPercentile": 13, "countPercentile": 0, "medianCount": 47.5, "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": 4, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.4642857142857144 ##### count 42 ##### university ###### size 1283 ###### gpa Percentile 28 ###### count Percentile 24 ###### 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 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 36, "medianCount": 45.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "NUTRSCI", "comparison": { "size": 15, "gpaPercentile": 29, "countPercentile": 36, "medianCount": 44, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2021 ###### gpa 3.660373947354374 ###### top Share 82.25902967226666 ###### count 77 ##### BIOCHEM ###### size 18 ###### gpa 3.5704031580510267 ###### top Share 74.87456258983882 ###### count 77 ##### NUTRSCI ###### size 21 ###### gpa 3.6592442372636147 ###### top Share 80.72154523047047 ###### count 84 #### terms ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### BIOCHEM ###### size 14 ###### gpa 3.433964049199819 ###### top Share 66.50185965650853 ###### count 54.5 ###### NUTRSCI ###### size 16 ###### gpa 3.557900249081337 ###### top Share 74.35826945459326 ###### count 47.5 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### BIOCHEM ###### size 12 ###### gpa 3.579078243735759 ###### top Share 75.20837163824363 ###### count 45.5 ###### NUTRSCI ###### size 15 ###### gpa 3.622323122323602 ###### top Share 77.97150522138509 ###### count 44 ## instructor Trends ```json [ { "uid": "instructor_a123851e43cecdb37995301d", "name": "MARK MEYER", "count": 77, "terms": [ { "term": "1254", "count": 35, "sections": 1, "gpa": 3.1142857142857143 }, { "term": "1264", "count": 42, "sections": 1, "gpa": 3.4642857142857144 } ] }, { "uid": "instructor_524b486ccf0a39e7d3f68180", "name": "DUO XU", "count": 42, "terms": [ { "term": "1264", "count": 42, "sections": 1, "gpa": 3.4642857142857144 } ] }, { "uid": "instructor_75a81d597d231b5585720b5e", "name": "JASON CANTOR", "count": 35, "terms": [ { "term": "1254", "count": 35, "sections": 1, "gpa": 3.1142857142857143 } ] } ] ``` ## following None recorded.