# GENETICS/MDGENET 677: Advanced Topics in Genetics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENETICS_MDGENET_677) ## 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 b822232e960a37519d8cfc8cdb0e87b4b2c4239f47f1baa358a24970fce7dfad ### course id GENETICS/MDGENET 677 ### course uid course\_9dc19eddb11cc40f0d7d0e89 ### catalog version id 6e6ebd61733b3d3a6ad721dfa3603c0cb5b00e2a34b27cdcd892c549636adcb1 ### course number 677 ### subjects * GENETICS * MDGENET ### title ADVANCED TOPICS IN GENETICS ### description Contents vary; consideration of subjects not included in the curriculum. ### requirements text Graduate/professional standing,GENETICS 466,468, orBIOCORE 383 ### credits min 1 ### credits max 3 ### credit offering ids * 1272:412:012165 * 1272:412:012165.131 * 1272:412:012165.134 * 1272:616:012165 * 1272:616:012165.131 * 1272:616:012165.134 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 73f802661a4e3c2f050ed0db06f3d4efe7d740df60fba0b4c4c7b2b7cbf8ddb1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary This course covers variable advanced topics in genetics not included in the standard curriculum. ### llm topics * Variable advanced genetics subjects ### llm skills None recorded. ### llm assumed background * Foundational genetics principles including transmission, molecular, and evolutionary genetics. * Advanced genetic analysis, population genetics, and genomics techniques. * Cellular and molecular biology foundations. ### llm search phrases * advanced genetics topics * graduate genetics seminar * molecular genetics research * population genetics analysis ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 1baf9f55d5607f6084fd667c5257adfbe4970be9d902914d07e3230176030ed1 #### course id GENETICS/MDGENET 677 #### current instructors ```json [ { "instructor_uid": "instructor_694c97a149e260a843322de0", "message": "No course-specific reviews available", "name": "Tomas Prolla", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "section_number": 21, "source_course_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "section_number": 121, "source_course_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ], "text": "Recent recorded grades — Spring 2016: 3.65 GPA, 100.0% A/AB (n=20 letter grades); Fall 2016: 3.95 GPA, 100.0% A/AB (n=19 letter grades); Spring 2025: 3.33 GPA, 44.4% A/AB (n=9 letter grades)." } ] } ] ``` #### 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 2024: 3.71 GPA, 90.5% A/AB (n=21 letter grades); Spring 2025: 3.38 GPA, 47.1% A/AB (n=17 letter grades); Fall 2025: 3.44 GPA, 62.5% A/AB (n=8 letter grades). ```json { "citations": [ { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "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 TOMAS PROLLA is recorded teaching in Fall 2006, Fall 2007, Spring 2016, Fall 2016, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" }, { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "section_number": 21, "source_course_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "section_number": 121, "source_course_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "GENETICS/MDGENET 677", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "source_record": { "entity_id": "6f6a1e5e-022d-350f-a0f8-3e9c9f26974f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Graduate/professional standing,GENETICS 466,468, orBIOCORE 383", "id": "n0", "kind": "all" }, { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n1", "kind": "condition" }, { "children": [ "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "GENETICS 466,468, orBIOCORE 383", "id": "n2", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 383, "minimum_grade": null, "subjects": [ "BIOCORE" ], "timing": "prior" }, "evidence": "BIOCORE 383", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 466, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "GENETICS 466", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 468, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "468", "id": "n5", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------ | ------------------ | -------------------------------- | -------------------------------- | -------------------------- | | instructor\_694c97a149e260a843322de0 | enrollment | taprolla | netid | source\_identified | Tomas Prolla | TAPROLLA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/TOMAS\_PROLLA | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:412:012165", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1272", "source_course_id": "012165", "source_subject_id": "412", "title": "Advanced Topics in Genetics", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:412:012165.131", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1272", "source_course_id": "012165.131", "source_subject_id": "412", "title": "Genetics of Adult Stem Cells", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:412:012165.134", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1272", "source_course_id": "012165.134", "source_subject_id": "412", "title": "Genetics of Youthspan and Long", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:616:012165", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1272", "source_course_id": "012165", "source_subject_id": "616", "title": "Advanced Topics in Genetics", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:616:012165.131", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1272", "source_course_id": "012165.131", "source_subject_id": "616", "title": "Genetics of Adult Stem Cells", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:616:012165.134", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1272", "source_course_id": "012165.134", "source_subject_id": "616", "title": "Genetics of Youthspan and Long", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35494", "term_id": "1272", "source_section_id": "35494", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 10, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36139", "term_id": "1272", "source_section_id": "36139", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 1, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_3dbaf2a5bd05a3605e738ac7", "source": "madgrades", "source_instructor_id": "594453", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CATHERINE REISER", "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": 3.667, "graded": 9, "counts": [ 5, 2, 2, 0, 0, 0, 0 ], "sections": 18 }, "instructor_url": "/instructors/CATHERINE_REISER" }, { "instructor_uid": "instructor_6a5ea3e4e702f657d3241619", "source": "madgrades", "source_instructor_id": "623858", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RAYMOND KESSEL", "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": 3.969, "graded": 2192, "counts": [ 2099, 67, 19, 3, 3, 0, 1 ], "sections": 98 }, "instructor_url": "/instructors/RAYMOND_KESSEL" }, { "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, 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"source_instructor_id": "3728293", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DONNA WERLING", "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": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:3061483", "source_url": "https://www.ratemyprofessors.com/professor/3061483", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:16.727715+00:00", "courses": { "course_3072ef2bc2ee7e4a222f0281": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.412, "graded": 370, "counts": [ 137, 107, 77, 26, 21, 2, 0 ], "sections": 50 }, "instructor_url": "/instructors/DONNA_WERLING--instructor_a65313e1cd0f224501485ce3" }, { "instructor_uid": "instructor_694c97a149e260a843322de0", "source": "enrollment", "source_instructor_id": "taprolla", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tomas Prolla", "email": "TAPROLLA@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/TOMAS_PROLLA" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "ALLEN LAUGHON", "CATHERINE REISER", "RAYMOND KESSEL", "Tomas Prolla" ], "a": 17, "ab": 6, "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": 24, "source_aliases": [ 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"no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Ming Jiang" ], "a": 10, "ab": 5, "b": 3, "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 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Francisco Pelegri", "LAURENCE LOEWE", "Qiang Chang" ], "a": 40, "ab": 0, "b": 1, "bc": 0, "c": 0, "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": 42, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "XUEHUA ZHONG" ], "a": 15, "ab": 7, "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": 27, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Francisco Pelegri" ], "a": 21, "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": 21, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "JOHN DOEBLEY" ], "a": 15, "ab": 14, "b": 7, "bc": 1, "c": 0, "d": 0, "f": 1, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 40, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 54, "ab": 2, "b": 3, "bc": 0, "c": 0, "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": 60, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "NICHOLAS ZUMWALDE" ], "a": 38, "ab": 1, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 1, "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": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Daniela Barbosa" ], "a": 4, "ab": 0, "b": 0, "bc": 0, "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": 6, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Daniela Barbosa" ], "a": 11, "ab": 8, "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": 21, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Andre Moura Da Costa E Sousa", "Donna Werling", "Tomas Prolla" ], "a": 7, "ab": 1, "b": 8, "bc": 0, "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": 17, "source_aliases": [ "GENETICS/MDGENET 677" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS/MDGENET 677", "course_uid": "course_9dc19eddb11cc40f0d7d0e89", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Daniela Barbosa" ], "a": 2, "ab": 3, "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": 8, "source_aliases": [ "GENETICS/MDGENET 677" ] } ] ``` ### statistics #### gpa 3.753 #### graded 1080 #### counts * 765 * 169 * 104 * 25 * 12 * 3 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_9dc19eddb11cc40f0d7d0e89-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_9dc19eddb11cc40f0d7d0e89-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_9dc19eddb11cc40f0d7d0e89-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_9dc19eddb11cc40f0d7d0e89-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_9dc19eddb11cc40f0d7d0e89-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_9dc19eddb11cc40f0d7d0e89-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_9dc19eddb11cc40f0d7d0e89-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_9dc19eddb11cc40f0d7d0e89-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7527777777777778 #### count 1080 #### university ##### size 5355 ##### gpa Percentile 55 ##### count Percentile 86 ##### median Count 208 ##### 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 | 15 | false | | 2.8–3.2 | 388 | false | | 3.2–3.6 | 1537 | false | | 3.6–4.0 | 3415 | true | #### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 40, "gpaPercentile": 54, "countPercentile": 92, "medianCount": 177.5, "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": 11, "current": false }, { "range": "3.6–4.0", "count": 26, "current": true } ] } }, { "subject": "MDGENET", "comparison": null } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.8333333333333335 ##### count 24 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1074 ##### term 1074 ##### gpa 3.9473684210526314 ##### count 19 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1082 ##### term 1082 ##### gpa 4 ##### count 38 ##### university ###### size 723 ###### gpa Percentile 96 ###### count Percentile 17 ###### 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 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1084 ##### term 1084 ##### gpa 4 ##### count 32 ##### university ###### size 720 ###### gpa Percentile 97 ###### count Percentile 5 ###### 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 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1092 ##### term 1092 ##### gpa 3.888888888888889 ##### count 27 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1094 ##### term 1094 ##### gpa 3.897727272727273 ##### count 44 ##### university ###### size 758 ###### gpa Percentile 88 ###### count Percentile 26 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1102 ##### term 1102 ##### gpa 3.7155172413793105 ##### count 58 ##### university ###### size 774 ###### gpa Percentile 79 ###### count Percentile 42 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1104 ##### term 1104 ##### gpa 3.8219178082191783 ##### count 73 ##### university ###### size 793 ###### gpa Percentile 84 ###### count Percentile 53 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1112 ##### term 1112 ##### gpa 3.593220338983051 ##### count 59 ##### university ###### size 805 ###### gpa Percentile 71 ###### count Percentile 43 ###### 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 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1114 ##### term 1114 ##### gpa 3.8173076923076925 ##### count 52 ##### university ###### size 804 ###### gpa Percentile 84 ###### count Percentile 35 ###### 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 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1122 ##### term 1122 ##### gpa 3.760869565217391 ##### count 23 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1124 ##### term 1124 ##### gpa 3.8015873015873014 ##### count 63 ##### university ###### size 821 ###### gpa Percentile 80 ###### count Percentile 47 ###### 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 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1132 ##### term 1132 ##### gpa 3.34375 ##### count 32 ##### university ###### size 851 ###### gpa Percentile 46 ###### count Percentile 4 ###### 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 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1134 ##### term 1134 ##### gpa 3.45 ##### count 40 ##### university ###### size 852 ###### gpa Percentile 53 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1142 ##### term 1142 ##### gpa 3.5641025641025643 ##### count 39 ##### university ###### size 853 ###### gpa Percentile 66 ###### count Percentile 18 ###### 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 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1144 ##### term 1144 ##### gpa 3.8421052631578947 ##### count 19 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1152 ##### term 1152 ##### gpa 3.739130434782609 ##### count 23 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1154 ##### term 1154 ##### gpa 3.85 ##### count 20 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1162 ##### term 1162 ##### gpa 3.611111111111111 ##### count 18 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1164 ##### term 1164 ##### gpa 3.656862745098039 ##### count 51 ##### university ###### size 965 ###### gpa Percentile 64 ###### count Percentile 36 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1172 ##### term 1172 ##### gpa 3.9615384615384617 ##### count 26 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1174 ##### term 1174 ##### gpa 3.6944444444444446 ##### count 18 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1182 ##### term 1182 ##### gpa 3.9047619047619047 ##### count 42 ##### university ###### size 1025 ###### gpa Percentile 89 ###### count Percentile 22 ###### 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 | | #### 1184 ##### term 1184 ##### gpa 3.685185185185185 ##### count 27 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1192 ##### term 1192 ##### gpa 4 ##### count 21 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1204 ##### term 1204 ##### gpa 3.486842105263158 ##### count 38 ##### university ###### size 1012 ###### gpa Percentile 18 ###### count Percentile 18 ###### 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 | true | | 3.6–4.0 | 685 | false | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1212 ##### term 1212 ##### gpa 3.8833333333333333 ##### count 60 ##### university ###### size 1111 ###### gpa Percentile 81 ###### count Percentile 43 ###### 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": 78, "countPercentile": 22, "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 } ] ``` #### 1222 ##### term 1222 ##### gpa 3.8452380952380953 ##### count 42 ##### university ###### size 1157 ###### gpa Percentile 78 ###### count Percentile 26 ###### 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 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 36, "medianCount": 43.5, "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 } ] } }, { "subject": "MDGENET", "comparison": null } ] ``` #### 1244 ##### term 1244 ##### gpa 3.3333333333333335 ##### count 6 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1252 ##### term 1252 ##### gpa 3.7142857142857144 ##### count 21 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1254 ##### term 1254 ##### gpa 3.3823529411764706 ##### count 17 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | #### 1262 ##### term 1262 ##### gpa 3.4375 ##### count 8 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | | MDGENET | | ### benchmarks #### all ##### school ###### size 5355 ###### gpa 3.65862557407433 ###### top Share 81.73706661140545 ###### count 208 ##### GENETICS ###### size 40 ###### gpa 3.6629975118993023 ###### top Share 80.45352141362909 ###### count 177.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 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 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### GENETICS ###### size 12 ###### gpa 3.5487219422313245 ###### top Share 75.54325666174324 ###### count 43.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 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 ##### 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 ##### 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_6a5ea3e4e702f657d3241619", "name": "RAYMOND KESSEL", "count": 275, "terms": [ { "term": "1072", "count": 16, "sections": 1, "gpa": 3.9375 }, { "term": "1074", "count": 19, "sections": 1, "gpa": 3.9473684210526314 }, { "term": "1082", "count": 38, "sections": 3, "gpa": 4 }, { "term": "1084", "count": 32, "sections": 1, "gpa": 4 }, { "term": "1092", "count": 17, "sections": 1, "gpa": 4 }, { "term": "1094", "count": 25, "sections": 1, "gpa": 4 }, { "term": "1102", "count": 37, "sections": 3, "gpa": 3.945945945945946 }, { "term": "1104", "count": 22, "sections": 1, "gpa": 3.8636363636363638 }, { "term": "1112", "count": 23, "sections": 1, "gpa": 4 }, { "term": "1114", "count": 17, "sections": 1, "gpa": 4 }, { "term": "1122", "count": 13, "sections": 1, "gpa": 4 }, { "term": "1124", "count": 16, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_1125e32a6db45daca9f32995", "name": "NICHOLAS ZUMWALDE", "count": 102, "terms": [ { "term": "1212", "count": 60, "sections": 1, "gpa": 3.8833333333333333 }, { "term": "1222", "count": 42, "sections": 1, "gpa": 3.8452380952380953 } ] }, { "uid": "instructor_ec107d000626c53d582f48f5", "name": "FRANCISCO PELEGRI", "count": 99, "terms": [ { "term": "1114", "count": 15, "sections": 1, "gpa": 3.566666666666667 }, { "term": "1134", "count": 23, "sections": 1, "gpa": 3.217391304347826 }, { "term": "1142", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1144", "count": 8, "sections": 1, "gpa": 3.75 }, { "term": "1154", "count": 13, "sections": 2, "gpa": 3.769230769230769 }, { "term": "1182", "count": 9, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1192", "count": 21, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_d2107f8b8901fc5995149e5f", "name": "AHNA SKOP", "count": 83, "terms": [ { "term": "1094", "count": 19, "sections": 1, "gpa": 3.763157894736842 }, { "term": "1104", "count": 18, "sections": 1, "gpa": 3.7222222222222223 }, { "term": "1114", "count": 11, "sections": 1, "gpa": 3.8636363636363638 }, { "term": "1124", "count": 18, "sections": 1, "gpa": 3.75 }, { "term": "1134", "count": 17, "sections": 1, "gpa": 3.764705882352941 } ] }, { "uid": "instructor_c5a9457e06b5bc63a27e6c54", "name": "ALLEN LAUGHON", "count": 81, "terms": [ { "term": "1072", "count": 8, "sections": 1, "gpa": 3.625 }, { "term": "1092", "count": 10, "sections": 1, "gpa": 3.7 }, { "term": "1102", "count": 21, "sections": 1, "gpa": 3.3095238095238093 }, { "term": "1112", "count": 11, "sections": 1, "gpa": 3.227272727272727 }, { "term": "1122", "count": 10, "sections": 1, "gpa": 3.45 }, { "term": "1144", "count": 8, "sections": 1, "gpa": 3.75 }, { "term": "1154", "count": 13, "sections": 1, "gpa": 3.769230769230769 } ] }, { "uid": "instructor_0e6b1a85e16fd50f9dd1445d", "name": "XUEHUA ZHONG", "count": 75, "terms": [ { "term": "1154", "count": 13, "sections": 1, "gpa": 3.769230769230769 }, { "term": "1162", "count": 12, "sections": 1, "gpa": 3.4166666666666665 }, { "term": "1164", "count": 23, "sections": 1, "gpa": 3.5434782608695654 }, { "term": "1184", "count": 27, "sections": 1, "gpa": 3.685185185185185 } ] }, { "uid": "instructor_08d7424e4d7d919ef2d95711", "name": "BRET PAYSEUR", "count": 64, "terms": [ { "term": "1112", "count": 25, "sections": 1, "gpa": 3.38 }, { "term": "1132", "count": 24, "sections": 1, "gpa": 3.25 }, { "term": "1142", "count": 15, "sections": 1, "gpa": 3.3 } ] }, { "uid": "instructor_9e820bad7c45a5eae810e11f", "name": "TOMAS PROLLA", "count": 48, "terms": [ { "term": "1164", "count": 20, "sections": 1, "gpa": 3.65 }, { "term": "1172", "count": 19, "sections": 1, "gpa": 3.9473684210526314 }, { "term": "1254", "count": 9, "sections": 1, "gpa": 3.3333333333333335 } ] }, { "uid": "instructor_f34d12502c35d424e7ce8619", "name": "DAVID SCHWARTZ", "count": 44, "terms": [ { "term": "1104", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1114", "count": 9, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1124", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1144", "count": 11, "sections": 1, "gpa": 3.909090909090909 } ] }, { "uid": "instructor_fce1247e6aa55d52a6e75968", "name": "JIMING JIANG", "count": 41, "terms": [ { "term": "1164", "count": 23, "sections": 1, "gpa": 3.5434782608695654 }, { "term": "1174", "count": 18, "sections": 1, "gpa": 3.6944444444444446 } ] }, { "uid": "instructor_878ce606c7282379f9bc44d1", "name": "JOHN POOL", "count": 39, "terms": [ { "term": "1132", "count": 24, "sections": 1, "gpa": 3.25 }, { "term": "1142", "count": 15, "sections": 1, "gpa": 3.3 } ] }, { "uid": "instructor_5b3fc9c317f8aa5d3f636318", "name": "XIN SUN", "count": 38, "terms": [ { "term": "1114", "count": 15, "sections": 1, "gpa": 3.566666666666667 }, { "term": "1134", "count": 23, "sections": 1, "gpa": 3.217391304347826 } ] }, { "uid": "instructor_691c159aada43ff269a68220", "name": "JOHN DOEBLEY", "count": 38, "terms": [ { "term": "1204", "count": 38, "sections": 1, "gpa": 3.486842105263158 } ] }, { "uid": 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"uid": "instructor_6075a97cdfdbdde2c25d6431", "name": "AUDREY GASCH", "count": 29, "terms": [ { "term": "1104", "count": 12, "sections": 1, "gpa": 3.5833333333333335 }, { "term": "1124", "count": 17, "sections": 1, "gpa": 3.5294117647058822 } ] }, { "uid": "instructor_d033b447712aa122441b9ff9", "name": "BARRY S GANETZKY", "count": 27, "terms": [ { "term": "1152", "count": 15, "sections": 1, "gpa": 3.6 }, { "term": "1162", "count": 12, "sections": 1, "gpa": 3.4166666666666665 } ] }, { "uid": "instructor_62303a2d6aaaf4d79dc7d9a8", "name": "QIANG CHANG", "count": 26, "terms": [ { "term": "1182", "count": 26, "sections": 1, "gpa": 3.9615384615384617 } ] }, { "uid": "instructor_8d31837a0d1330b1e320e891", "name": "KEVIN NIEMI", "count": 20, "terms": [ { "term": "1082", "count": 20, "sections": 2, "gpa": 4 } ] }, { "uid": "instructor_d48b37f83f0c8e0a726be7cf", "name": "PHILIP ANDERSON", "count": 20, "terms": [ { "term": "1144", "count": 8, "sections": 1, "gpa": 3.75 }, { "term": "1162", "count": 12, "sections": 1, "gpa": 3.4166666666666665 } ] }, { "uid": "instructor_d14c0d3b11ba939e2c623b77", "name": "CHRISTOPHER HITTINGER", "count": 15, "terms": [ { "term": "1152", "count": 15, "sections": 1, "gpa": 3.6 } ] }, { "uid": "instructor_202c858043d268a7781fd302", "name": "KRISTIN JENKINS", "count": 13, "terms": [ { "term": "1142", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1154", "count": 7, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_3fd9421435be2942d9479ac2", "name": "CHRISTOPHER DAY", "count": 10, "terms": [ { "term": "1142", "count": 10, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_044c14fb3451985e6c91aa62", "name": "WILLIAM SEELY", "count": 9, "terms": [ { "term": "1104", "count": 9, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_3dbaf2a5bd05a3605e738ac7", "name": "CATHERINE REISER", "count": 8, "terms": [ { "term": "1132", "count": 8, "sections": 1, "gpa": 3.625 } ] }, { "uid": "instructor_6da50b5852d326f3066964ba", "name": "ANDRE MOURA DA COSTA E SOUSA", "count": 8, "terms": [ { "term": "1254", "count": 8, "sections": 1, "gpa": 3.4375 } ] }, { "uid": "instructor_a65313e1cd0f224501485ce3", "name": "DONNA WERLING", "count": 8, "terms": [ { "term": "1254", "count": 8, "sections": 1, "gpa": 3.4375 } ] }, { "uid": "instructor_a2efd55abd7bcafc8c536c70", "name": "NICOLE T PERNA", "count": 7, "terms": [ { "term": "1154", "count": 7, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded.