# GENETICS/MDGENET 662: Cancer Genetics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENETICS_MDGENET_662) ## 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 7b9849bfadb01e54512a5c64614b1bffe04614c78b76903f99929afb7ed25c63 ### course id GENETICS/MDGENET 662 ### course uid course\_0f207765609f55e3e63e1351 ### catalog version id c4310fedc62a1c113bf3b9618b623e6b3571600ed84dc1ff10a9d0992c643a69 ### course number 662 ### subjects * GENETICS * MDGENET ### title CANCER GENETICS ### description Focuses on the genetic basis by which cancer manifests. Provides a comprehensive overview of how cancer is generated as a result of abnormalities at the DNA level, paying special attention to oncogenes, tumor suppressors, DNA mutations, DNA repair mechanisms, chromosomal instability, and tumor heterogeneity. Stresses the role of the immune system in combating cancer, the phenomenon of cancer resistance, anti-tumor strategies, and epigenetic influences on tumorigenesis. Highlights connections between course material and clinical relevance. ### requirements text GENETICS 466,467orBIOCORE 383 ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 33de0a3649e069c3696bcf214cef005807c40b3e3ddaa233440168d7e43bcef2 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CANCER GENETICS focuses on the genetic basis of cancer, covering DNA abnormalities, immune interactions, and clinical relevance. ### llm topics * Oncogenes, tumor suppressors, DNA mutations, DNA repair, chromosomal instability, and tumor heterogeneity. * Immune system role in cancer, cancer resistance, anti-tumor strategies, and epigenetic influences. ### llm skills * Analyzing the genetic basis of cancer and connecting molecular mechanisms to clinical relevance. * Evaluating immune system roles, cancer resistance, anti-tumor strategies, and epigenetic influences. ### llm assumed background * Foundational knowledge in cellular biology, molecular genetics, and transmission genetics. ### llm search phrases * cancer genetics course * oncogenes tumor suppressors * DNA repair mechanisms cancer * tumor heterogeneity * epigenetic influences tumorigenesis * immune system cancer resistance ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 3142aaf4f5d958e817e11e52eaa3be545c674438c09c2ed681aa71361e0af7ce #### course id GENETICS/MDGENET 662 #### current instructors None recorded. #### difficulty workload Historical reviews of Nicholas Zumwalde: Reviewers describe the course as digestible with interesting readings that expand knowledge, citing moderate difficulty levels. ```json { "citations": [ { "instructor_name": "Nicholas Zumwalde", "review_date": "2020-05-07 19:43:36 +0000 UTC", "review_id": "de5b4ddada28cf3b4fc71956", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTMzMjMzMTAw", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" }, { "instructor_name": "Nicholas Zumwalde", "review_date": "2020-05-14 16:58:38 +0000 UTC", "review_id": "a9448ae521eb3ebf8e2b9ab5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTMzMjk0OTY4", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" }, { "instructor_name": "Nicholas Zumwalde", "review_date": "2022-08-15 20:46:57 +0000 UTC", "review_id": "4860e083080a7b24dbb51811", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTM2NTg4MzMz", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Nicholas Zumwalde: Nicholas Zumwalde is consistently praised as a fantastic lecturer who cares about student learning and possesses deep knowledge. Reviewers highlight his engaging lectures, interesting readings, and responsiveness during office hours. He effectively explains complex cancer genetics concepts and encourages deeper thinking. ```json { "citations": [ { "instructor_name": "Nicholas Zumwalde", "review_date": "2020-05-07 19:43:36 +0000 UTC", "review_id": "de5b4ddada28cf3b4fc71956", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTMzMjMzMTAw", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" }, { "instructor_name": "Nicholas Zumwalde", "review_date": "2020-05-14 16:58:38 +0000 UTC", "review_id": "a9448ae521eb3ebf8e2b9ab5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTMzMjk0OTY4", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" }, { "instructor_name": "Nicholas Zumwalde", "review_date": "2022-08-15 20:46:57 +0000 UTC", "review_id": "4860e083080a7b24dbb51811", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTM2NTg4MzMz", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Nicholas Zumwalde: Nicholas Zumwalde is highly rated for his engaging lectures and deep knowledge of cancer genetics, though no current instructor reviews are available. ```json { "citations": [ { "instructor_name": "Nicholas Zumwalde", "review_date": "2020-05-07 19:43:36 +0000 UTC", "review_id": "de5b4ddada28cf3b4fc71956", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTMzMjMzMTAw", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" }, { "instructor_name": "Nicholas Zumwalde", "review_date": "2020-05-14 16:58:38 +0000 UTC", "review_id": "a9448ae521eb3ebf8e2b9ab5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTMzMjk0OTY4", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" }, { "instructor_name": "Nicholas Zumwalde", "review_date": "2022-08-15 20:46:57 +0000 UTC", "review_id": "4860e083080a7b24dbb51811", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTM2NTg4MzMz", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.83 GPA, 91.7% A/AB (n=36 letter grades); Spring 2025: 3.89 GPA, 95.7% A/AB (n=46 letter grades); Spring 2026: 3.41 GPA, 60.5% A/AB (n=38 letter grades). ```json { "citations": [ { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Nicholas Zumwalde: Students value Zumwalde's responsiveness and office hours, noting he prompts deeper thinking and explains concepts well. ```json { "citations": [ { "instructor_name": "Nicholas Zumwalde", "review_date": "2020-05-07 19:43:36 +0000 UTC", "review_id": "de5b4ddada28cf3b4fc71956", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTMzMjMzMTAw", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" }, { "instructor_name": "Nicholas Zumwalde", "review_date": "2020-05-14 16:58:38 +0000 UTC", "review_id": "a9448ae521eb3ebf8e2b9ab5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTMzMjk0OTY4", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" }, { "instructor_name": "Nicholas Zumwalde", "review_date": "2022-08-15 20:46:57 +0000 UTC", "review_id": "4860e083080a7b24dbb51811", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2588888", "source_review_id": "UmF0aW5nLTM2NTg4MzMz", "source_url": "https://www.ratemyprofessors.com/professor/2588888", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history NICHOLAS ZUMWALDE is recorded teaching in Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENETICS/MDGENET 662", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "source_record": { "entity_id": "10e86ddd-c030-3aef-be36-8b9f9b5d750c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### 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 None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_9e820bad7c45a5eae810e11f", "source": "madgrades", "source_instructor_id": "2601956", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TOMAS PROLLA", "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": 3.362, "graded": 598, "counts": [ 264, 121, 108, 36, 50, 17, 2 ], "sections": 30 }, "instructor_url": "/instructors/TOMAS_PROLLA--instructor_9e820bad7c45a5eae810e11f" }, { "instructor_uid": "instructor_c5a9457e06b5bc63a27e6c54", "source": "madgrades", "source_instructor_id": "2602114", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALLEN LAUGHON", "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": 38, "quality": 2.42, "difficulty": 4.21, "quality_count": 38, "difficulty_count": 38, "profile_id": "rmp:133459", "source_url": "https://www.ratemyprofessors.com/professor/133459", "match_basis": "exact_name", "observed_at": "2026-09-07 16:56:32.275392+00:00", "courses": { "course_2a73ec290c5e665c8b699fbb": { "review_count": 6, "quality": 2.83, "difficulty": 4.33, "quality_count": 6, "difficulty_count": 6 } }, "bayesian_quality": 2.8474778563953773, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.82, "graded": 3078, "counts": [ 710, 332, 783, 304, 695, 178, 76 ], "sections": 61 }, "instructor_url": "/instructors/ALLEN_LAUGHON--instructor_c5a9457e06b5bc63a27e6c54" }, { "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/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Tomas Prolla" ], "a": 17, "ab": 13, "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": 30, "source_aliases": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Tomas Prolla" ], "a": 28, "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": 31, "source_aliases": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "ALLEN LAUGHON", "Tomas Prolla" ], "a": 22, "ab": 2, "b": 7, "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": 31, "source_aliases": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 42, "ab": 2, "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": 47, "source_aliases": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Tomas Prolla" ], "a": 15, "ab": 16, "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": 35, "source_aliases": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 32, "ab": 5, "b": 10, "bc": 2, "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": 49, "source_aliases": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 33, "ab": 7, "b": 6, "bc": 0, "c": 1, "d": 1, "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": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 27, "ab": 6, "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": 36, "source_aliases": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 38, "ab": 6, "b": 2, "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": 46, "source_aliases": [ "GENETICS/MDGENET 662" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 662", "course_uid": "course_0f207765609f55e3e63e1351", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "NICHOLAS ZUMWALDE", "Tomas Prolla" ], "a": 15, "ab": 8, "b": 10, "bc": 3, "c": 2, "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": 39, "source_aliases": [ "GENETICS/MDGENET 662" ] } ] ``` ### statistics #### gpa 3.754 #### graded 391 #### counts * 269 * 67 * 46 * 5 * 3 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0f207765609f55e3e63e1351-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0f207765609f55e3e63e1351-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0f207765609f55e3e63e1351-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0f207765609f55e3e63e1351-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_0f207765609f55e3e63e1351-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_0f207765609f55e3e63e1351-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0f207765609f55e3e63e1351-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0f207765609f55e3e63e1351-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7544757033248084 #### count 391 #### university ##### size 4262 ##### gpa Percentile 51 ##### count Percentile 80 ##### median Count 124 ##### 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 | 261 | false | | 3.2–3.6 | 1112 | false | | 3.6–4.0 | 2880 | true | #### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 34, "gpaPercentile": 58, "countPercentile": 85, "medianCount": 123, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } }, { "subject": "MDGENET", "comparison": null } ] ``` ### terms #### 1182 ##### term 1182 ##### gpa 3.783333333333333 ##### count 30 ##### university ###### size 1025 ###### gpa Percentile 77 ###### count Percentile 0 ###### 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 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1192 ##### term 1192 ##### gpa 3.935483870967742 ##### count 31 ##### university ###### size 1077 ###### gpa Percentile 90 ###### count Percentile 2 ###### 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 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1202 ##### term 1202 ##### gpa 3.7419354838709675 ##### count 31 ##### university ###### size 1102 ###### gpa Percentile 70 ###### count Percentile 3 ###### median Count 68 ###### 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 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 0, "medianCount": 55, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "MDGENET", "comparison": null } ] ``` #### 1204 ##### term 1204 ##### gpa 3.9148936170212765 ##### count 47 ##### university ###### size 1012 ###### gpa Percentile 77 ###### count Percentile 33 ###### median Count 65.5 ###### 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 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1212 ##### term 1212 ##### gpa 3.657142857142857 ##### count 35 ##### university ###### size 1111 ###### gpa Percentile 52 ###### count Percentile 11 ###### median Count 68 ###### 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 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 10, "gpaPercentile": 67, "countPercentile": 0, "medianCount": 64.5, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } }, { "subject": "MDGENET", "comparison": null } ] ``` #### 1224 ##### term 1224 ##### gpa 3.683673469387755 ##### count 49 ##### university ###### size 1171 ###### gpa Percentile 56 ###### count Percentile 37 ###### median Count 64 ###### 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 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 10, "gpaPercentile": 67, "countPercentile": 56, "medianCount": 48.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "MDGENET", "comparison": null } ] ``` #### 1234 ##### term 1234 ##### gpa 3.6979166666666665 ##### count 48 ##### university ###### size 1188 ###### gpa Percentile 56 ###### count Percentile 33 ###### median Count 65 ###### 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 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1244 ##### term 1244 ##### gpa 3.8333333333333335 ##### count 36 ##### university ###### size 1241 ###### gpa Percentile 72 ###### count Percentile 13 ###### median Count 65 ###### 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 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1254 ##### term 1254 ##### gpa 3.891304347826087 ##### count 46 ##### university ###### size 1289 ###### gpa Percentile 80 ###### count Percentile 29 ###### 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 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 10, "gpaPercentile": 67, "countPercentile": 33, "medianCount": 49.5, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "MDGENET", "comparison": null } ] ``` #### 1264 ##### term 1264 ##### gpa 3.4078947368421053 ##### count 38 ##### university ###### size 1283 ###### gpa Percentile 22 ###### count Percentile 16 ###### 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 | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | ### benchmarks #### all ##### school ###### size 4262 ###### gpa 3.6849492770639336 ###### top Share 83.4614148732359 ###### count 124 ##### GENETICS ###### size 34 ###### gpa 3.658041535200912 ###### top Share 80.82604778822179 ###### count 123 #### terms ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### GENETICS ###### size 10 ###### gpa 3.451827575944905 ###### top Share 68.57560463766207 ###### count 55 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### GENETICS ###### size 10 ###### gpa 3.5728472785775116 ###### top Share 76.39656652328354 ###### count 64.5 ##### 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 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 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_1125e32a6db45daca9f32995", "name": "NICHOLAS ZUMWALDE", "count": 264, "terms": [ { "term": "1204", "count": 47, "sections": 1, "gpa": 3.9148936170212765 }, { "term": "1224", "count": 49, "sections": 1, "gpa": 3.683673469387755 }, { "term": "1234", "count": 48, "sections": 1, "gpa": 3.6979166666666665 }, { "term": "1244", "count": 36, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1254", "count": 46, "sections": 1, "gpa": 3.891304347826087 }, { "term": "1264", "count": 38, "sections": 1, "gpa": 3.4078947368421053 } ] }, { "uid": "instructor_9e820bad7c45a5eae810e11f", "name": "TOMAS PROLLA", "count": 165, "terms": [ { "term": "1182", "count": 30, "sections": 1, "gpa": 3.783333333333333 }, { "term": "1192", "count": 31, "sections": 1, "gpa": 3.935483870967742 }, { "term": "1202", "count": 31, "sections": 1, "gpa": 3.7419354838709675 }, { "term": "1212", "count": 35, "sections": 1, "gpa": 3.657142857142857 }, { "term": "1264", "count": 38, "sections": 1, "gpa": 3.4078947368421053 } ] }, { "uid": "instructor_c5a9457e06b5bc63a27e6c54", "name": "ALLEN LAUGHON", "count": 31, "terms": [ { "term": "1202", "count": 31, "sections": 1, "gpa": 3.7419354838709675 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.6817103566250795 ### grades | grade | percentage | | ----- | ------------------- | | A | 64.1093611635434 | | AB | 16.004384625687486 | | B | 14.840125937069296 | | BC | 2.8458393553067407 | | C | 1.882979700560301 | | D | 0.31730921783277805 | | F | 0 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 217 ### same Season false ### historical Range * 3.4078947368421053 * 3.891304347826087