# GENETICS 527: Developmental Genetics for Conservation and Regeneration | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENETICS_527) ## 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 e452c7bc362062bbf6d5d4c58ff38e93c433a0dace3d9f2e139374f96419cf9b ### course id GENETICS 527 ### course uid course\_49dfb79a78d31a4be0ad1682 ### catalog version id b26aad5e02b6869a9c6b9ae96968731bcd0333a31aa84771db95fdfb2f30b746 ### course number 527 ### subjects * GENETICS ### title DEVELOPMENTAL GENETICS FOR CONSERVATION AND REGENERATION ### description Human-induced factors such as changes in land use and global climate are causing rapid worldwide biodiversity loss. Can modern molecular genetics contribute to species preservation? In this course, we will first explore the challenges and potential of molecular genetic methods based on biobanking, gene editing and nuclear transfer for animal biodiversity preservation. Topics covered will include: i) maternal factors and early animal development, ii) interspecies somatic cell nuclear transfer (isSCNT) and oocyte-mediated reprogramming in animal cloning, iii) developmental, phylogenetic and ecological considerations for biobanking, iv) gene editing and synthetic biology as potential tools to recapture biodiversity. Use knowledge in animal population status, developmental genetics and phylogeny to address real-life problems involving the conservation of threatened animal populations. ### requirements text GENETICS 466,467, orBIOCORE 381 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:412:025214 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 96c68529bd9dc56b6ce32516f9062eb2d30b859510b384105963515254c25c42 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Explores the use of molecular genetics, including biobanking, gene editing, and nuclear transfer, to address biodiversity loss and conserve threatened animal populations. ### llm topics * Maternal factors and early animal development. * Interspecies somatic cell nuclear transfer and oocyte-mediated reprogramming. * Developmental, phylogenetic, and ecological considerations for biobanking. * Gene editing and synthetic biology for biodiversity recapture. ### llm skills * Application of molecular genetic methods for species preservation. * Integration of population status, developmental genetics, and phylogeny for conservation problem-solving. ### llm assumed background * Foundational knowledge in transmission and molecular genetics, population genetics, and ecology. ### llm search phrases * molecular genetics conservation * somatic cell nuclear transfer * gene editing biodiversity * developmental genetics animal cloning * biobanking animal preservation ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash d8992f780ba143dec1055da540958fd13d6cc10dcae6e23607149adf79b14d86 #### course id GENETICS 527 #### current instructors ```json [ { "instructor_uid": "instructor_f2a83075af69cac6d5388861", "message": "No course-specific reviews available", "name": "Francisco Pelegri", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:874058", "summary": [ { "citations": [ { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.95 GPA, 97.7% A/AB (n=44 letter grades); Fall 2025: 3.93 GPA, 97.1% A/AB (n=34 letter grades); Spring 2026: 3.97 GPA, 100.0% A/AB (n=52 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 — Spring 2025: 3.95 GPA, 97.7% A/AB (n=44 letter grades); Fall 2025: 3.93 GPA, 97.1% A/AB (n=34 letter grades); Spring 2026: 3.97 GPA, 100.0% A/AB (n=52 letter grades). ```json { "citations": [ { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history FRANCISCO PELEGRI is recorded teaching in Fall 2019, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENETICS 527", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "source_record": { "entity_id": "db2006f3-f6d1-3552-a0c8-7efbd38634fd", "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 466,467, orBIOCORE 381", "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": 381, "minimum_grade": null, "subjects": [ "BIOCORE" ], "timing": "prior" }, "evidence": "BIOCORE 381", "id": "n3", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_f2a83075af69cac6d5388861", "source": "enrollment", "source_instructor_id": "fjpelegri", "identity_basis": "netid", "identity_status": "source_identified", "name": "Francisco Pelegri", "email": "FJPELEGRI@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", "ratings": { "review_count": 11, "quality": 4.73, "difficulty": 2.27, "quality_count": 11, "difficulty_count": 11, "profile_id": "rmp:874058", "source_url": "https://www.ratemyprofessors.com/professor/874058", "match_basis": "exact_name", "observed_at": "2026-09-07 16:39:08.106862+00:00", "courses": { "course_2a73ec290c5e665c8b699fbb": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.039474699062319, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/FRANCISCO_PELEGRI" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:412:025214", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1272", "source_course_id": "025214", "source_subject_id": "412", "title": "Developmental Genetics for Conservation and Regeneration", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:20065", "term_id": "1272", "source_section_id": "20065", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 44, "waitlisted": 1, "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_ec107d000626c53d582f48f5", "source": "madgrades", "source_instructor_id": "3128033", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FRANCISCO PELEGRI", "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": 11, "quality": 4.73, "difficulty": 2.27, "quality_count": 11, "difficulty_count": 11, "profile_id": "rmp:874058", "source_url": "https://www.ratemyprofessors.com/professor/874058", "match_basis": "exact_name", "observed_at": "2026-09-07 16:39:08.106862+00:00", "courses": { "course_2a73ec290c5e665c8b699fbb": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.039474699062319, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.594, "graded": 1438, "counts": [ 935, 163, 167, 74, 74, 23, 2 ], "sections": 164 }, "instructor_url": "/instructors/FRANCISCO_PELEGRI--instructor_ec107d000626c53d582f48f5" }, { "instructor_uid": "instructor_f2a83075af69cac6d5388861", "source": "enrollment", "source_instructor_id": "fjpelegri", "identity_basis": "netid", "identity_status": "source_identified", "name": "Francisco Pelegri", "email": "FJPELEGRI@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", "ratings": { "review_count": 11, "quality": 4.73, "difficulty": 2.27, "quality_count": 11, "difficulty_count": 11, "profile_id": "rmp:874058", "source_url": "https://www.ratemyprofessors.com/professor/874058", "match_basis": "exact_name", "observed_at": "2026-09-07 16:39:08.106862+00:00", "courses": { "course_2a73ec290c5e665c8b699fbb": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.039474699062319, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/FRANCISCO_PELEGRI" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Francisco Pelegri" ], "a": 32, "ab": 1, "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": 35, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Francisco Pelegri" ], "a": 50, "ab": 2, "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": 56, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Francisco Pelegri" ], "a": 34, "ab": 5, "b": 5, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Francisco Pelegri" ], "a": 24, "ab": 2, "b": 1, "bc": 1, "c": 0, "d": 2, "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 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Francisco Pelegri" ], "a": 38, "ab": 2, "b": 0, "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": 41, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Francisco Pelegri" ], "a": 24, "ab": 5, "b": 0, "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": 30, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Francisco Pelegri" ], "a": 33, "ab": 1, "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": 35, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Francisco Pelegri" ], "a": 33, "ab": 4, "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": 38, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Francisco Pelegri" ], "a": 36, "ab": 5, "b": 0, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Francisco Pelegri" ], "a": 41, "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": 44, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Francisco Pelegri" ], "a": 30, "ab": 3, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "GENETICS 527" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 527", "course_uid": "course_49dfb79a78d31a4be0ad1682", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Francisco Pelegri" ], "a": 49, "ab": 3, "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": 52, "source_aliases": [ "GENETICS 527" ] } ] ``` ### statistics #### gpa 3.903 #### graded 481 #### counts * 424 * 35 * 16 * 2 * 2 * 2 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_49dfb79a78d31a4be0ad1682-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_49dfb79a78d31a4be0ad1682-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_49dfb79a78d31a4be0ad1682-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_49dfb79a78d31a4be0ad1682-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_49dfb79a78d31a4be0ad1682-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_49dfb79a78d31a4be0ad1682-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_49dfb79a78d31a4be0ad1682-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_49dfb79a78d31a4be0ad1682-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9033264033264032 #### count 481 #### university ##### size 4661 ##### gpa Percentile 73 ##### count Percentile 81 ##### median Count 135 ##### 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 | 11 | false | | 2.8–3.2 | 249 | false | | 3.2–3.6 | 1121 | false | | 3.6–4.0 | 3280 | true | #### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 41, "gpaPercentile": 83, "countPercentile": 88, "medianCount": 120, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 31, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.9285714285714284 ##### count 35 ##### university ###### size 1102 ###### gpa Percentile 90 ###### 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 | 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": 100, "countPercentile": 11, "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 } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.9107142857142856 ##### count 56 ##### university ###### size 1111 ###### gpa Percentile 84 ###### count Percentile 40 ###### 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": 89, "countPercentile": 11, "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 } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.8295454545454546 ##### count 44 ##### university ###### size 1157 ###### gpa Percentile 75 ###### count Percentile 29 ###### 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": 64, "countPercentile": 55, "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 } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.683333333333333 ##### count 30 ##### university ###### size 1171 ###### gpa Percentile 56 ###### count Percentile 0 ###### 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": 56, "countPercentile": 0, "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 } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.926829268292683 ##### count 41 ##### university ###### size 1216 ###### gpa Percentile 86 ###### count Percentile 23 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1234 ##### term 1234 ##### gpa 3.85 ##### count 30 ##### university ###### size 1188 ###### gpa Percentile 74 ###### count Percentile 0 ###### 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 | | #### 1242 ##### term 1242 ##### gpa 3.9571428571428573 ##### count 35 ##### university ###### size 1295 ###### gpa Percentile 90 ###### count Percentile 13 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 9, "medianCount": 55.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.9210526315789473 ##### count 38 ##### university ###### size 1241 ###### gpa Percentile 84 ###### count Percentile 17 ###### 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 | | #### 1252 ##### term 1252 ##### gpa 3.9047619047619047 ##### count 42 ##### university ###### size 1333 ###### gpa Percentile 81 ###### count Percentile 24 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 12, "gpaPercentile": 82, "countPercentile": 18, "medianCount": 52.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.9545454545454546 ##### count 44 ##### university ###### size 1289 ###### gpa Percentile 89 ###### count Percentile 27 ###### 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": 89, "countPercentile": 22, "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 } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.926470588235294 ##### count 34 ##### university ###### size 1320 ###### gpa Percentile 84 ###### count Percentile 8 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 25, "medianCount": 53, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.9711538461538463 ##### count 52 ##### university ###### size 1283 ###### gpa Percentile 91 ###### count Percentile 37 ###### 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 | false | | 3.6–4.0 | 789 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | ### benchmarks #### all ##### school ###### size 4661 ###### gpa 3.700464951450254 ###### top Share 84.3789579724209 ###### count 135 ##### GENETICS ###### size 41 ###### gpa 3.6950438831470724 ###### top Share 83.63390907483235 ###### count 120 #### terms ##### 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 ##### 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 ##### 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 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### GENETICS ###### size 12 ###### gpa 3.5884554184793362 ###### top Share 77.27523156397659 ###### count 55.5 ##### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_ec107d000626c53d582f48f5", "name": "FRANCISCO PELEGRI", "count": 481, "terms": [ { "term": "1202", "count": 35, "sections": 1, "gpa": 3.9285714285714284 }, { "term": "1212", "count": 56, "sections": 1, "gpa": 3.9107142857142856 }, { "term": "1222", "count": 44, "sections": 1, "gpa": 3.8295454545454546 }, { "term": "1224", "count": 30, "sections": 1, "gpa": 3.683333333333333 }, { "term": "1232", "count": 41, "sections": 1, "gpa": 3.926829268292683 }, { "term": "1234", "count": 30, "sections": 1, "gpa": 3.85 }, { "term": "1242", "count": 35, "sections": 1, "gpa": 3.9571428571428573 }, { "term": "1244", "count": 38, "sections": 1, "gpa": 3.9210526315789473 }, { "term": "1252", "count": 42, "sections": 1, "gpa": 3.9047619047619047 }, { "term": "1254", "count": 44, "sections": 1, "gpa": 3.9545454545454546 }, { "term": "1262", "count": 34, "sections": 1, "gpa": 3.926470588235294 }, { "term": "1264", "count": 52, "sections": 1, "gpa": 3.9711538461538463 } ] } ] ``` ## following None recorded.