# GENETICS 885: Advanced Genomic and Proteomic Analysis | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENETICS_885) ## 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 ffb831776ace6e97119155fd16aea6c1e58fe4442eed697240b5b7d1dda48de7 ### course id GENETICS 885 ### course uid course\_5cc58ca238bb38637ce307c6 ### catalog version id 9ce881d9fe11eb991e1e422e7ee59b63b137b69f017f4d2bfc2184e7cc2f8f3b ### course number 885 ### subjects * GENETICS ### title ADVANCED GENOMIC AND PROTEOMIC ANALYSIS ### description With the availability of genome sequences and high-throughput techniques, organismal physiology can now be examined on a global scale by monitoring the behavior of all genes or proteins in a single experiment. This course will present modern techniques in genomics and proteomics, with particular focus on analyzing the data generated by these techniques. Course material will cover genomic sequencing, comparative sequence analysis, phylogeny construction and phylogenomics, transcription factor motif discovery, DNA microarray analysis, techniques in mass spectrometry, proteomic screening methods, and protein-interaction network analysis. In addition to lecture time, the course includes computer lab where students get hands-on experience analyzing genomic and proteomic datasets. Students should have coursework in general statistics and intermediate or advanced genetics. ### requirements text Graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:412:024308 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 78840a2ef8a8d3646284f026204689aac4f21dcc9b3c5ea224ef14f3f106d4ca ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers modern genomics and proteomics techniques with a focus on data analysis. ### llm topics * Genomic sequencing and comparative sequence analysis. * Mass spectrometry and proteomic screening methods. ### llm skills * Analysis of genomic and proteomic data. * Phylogeny construction and phylogenomics. * Transcription factor motif discovery. * DNA microarray analysis. * Protein-interaction network analysis. * Hands-on analysis of genomic and proteomic datasets. ### llm assumed background * General statistics and intermediate or advanced genetics coursework. ### llm search phrases * genomic data analysis * proteomic screening * phylogenomics * DNA microarray * mass spectrometry proteomics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 7c49cc0c950355f1305f05d8c1614fc988e518ce49b919cf93bc08dd196ec45e #### course id GENETICS 885 #### current instructors ```json [ { "instructor_uid": "instructor_80d7b491a0138a3d50d28c76", "message": "No course-specific reviews available", "name": "Audrey Gasch", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ], "text": "Recent recorded grades — Fall 2020: 3.25 GPA, 40.9% A/AB (n=22 letter grades); Fall 2022: 3.50 GPA, 70.0% A/AB (n=20 letter grades); Fall 2024: 3.43 GPA, 86.7% A/AB (n=15 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_77c854e333793492f237ad7d", "message": "No course-specific reviews available", "name": "Nicole Perna", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ], "text": "Recent recorded grades — Fall 2020: 3.25 GPA, 40.9% A/AB (n=22 letter grades); Fall 2022: 3.50 GPA, 70.0% A/AB (n=20 letter grades); Fall 2024: 3.43 GPA, 86.7% A/AB (n=15 letter grades). Includes jointly taught sections." } ] } ] ``` #### 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 2020: 3.25 GPA, 40.9% A/AB (n=22 letter grades); Fall 2022: 3.50 GPA, 70.0% A/AB (n=20 letter grades); Fall 2024: 3.43 GPA, 86.7% A/AB (n=15 letter grades). ```json { "citations": [ { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history AUDREY GASCH is recorded teaching in Fall 2016, Fall 2018, Fall 2020, Fall 2022, Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` NICOLE T PERNA is recorded teaching in Fall 2016, Fall 2018, Fall 2020, Fall 2022, Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "GENETICS 885", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e5453e23-5c34-385e-94be-63a3081ab167", "source_record": { "entity_id": "e5453e23-5c34-385e-94be-63a3081ab167", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### 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\_80d7b491a0138a3d50d28c76 | enrollment | agasch | netid | source\_identified | Audrey Gasch | AGASCH\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/AUDREY\_GASCH | | instructor\_77c854e333793492f237ad7d | enrollment | ntperna | netid | source\_identified | Nicole Perna | NTPERNA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/NICOLE\_PERNA | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:412:024308", "course_id": "GENETICS 885", "course_uid": "course_5cc58ca238bb38637ce307c6", "term_id": "1272", "source_course_id": "024308", "source_subject_id": "412", "title": "Advanced Genomic and Proteomic Analysis", "credits_min": 3, "credits_max": 3, "typically_offered": "Every Other Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36592", "term_id": "1272", "source_section_id": "36592", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 24, "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:1272:36593", "term_id": "1272", "source_section_id": "36593", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 24, "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_6075a97cdfdbdde2c25d6431", "source": "madgrades", "source_instructor_id": "601945", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AUDREY GASCH", "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": 3.543, "graded": 278, "counts": [ 89, 131, 53, 3, 2, 0, 0 ], "sections": 108 }, "instructor_url": "/instructors/AUDREY_GASCH--instructor_6075a97cdfdbdde2c25d6431" }, { "instructor_uid": "instructor_a2efd55abd7bcafc8c536c70", "source": "madgrades", "source_instructor_id": "3290141", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NICOLE T PERNA", "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": 3.405, "graded": 859, "counts": [ 374, 191, 181, 30, 61, 20, 2 ], "sections": 93 }, "instructor_url": "/instructors/NICOLE_T_PERNA--instructor_a2efd55abd7bcafc8c536c70" }, { "instructor_uid": "instructor_77c854e333793492f237ad7d", "source": "enrollment", "source_instructor_id": "ntperna", "identity_basis": "netid", "identity_status": "source_identified", "name": "Nicole Perna", "email": "NTPERNA@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/NICOLE_PERNA" }, { "instructor_uid": "instructor_80d7b491a0138a3d50d28c76", "source": "enrollment", "source_instructor_id": "agasch", "identity_basis": "netid", "identity_status": "source_identified", "name": "Audrey Gasch", "email": "AGASCH@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/AUDREY_GASCH" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 885", "course_uid": "course_5cc58ca238bb38637ce307c6", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Audrey Gasch", "Nicole Perna" ], "a": 8, "ab": 12, "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": 23, "source_aliases": [ "GENETICS 885" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 885", "course_uid": "course_5cc58ca238bb38637ce307c6", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Audrey Gasch", "Nicole Perna" ], "a": 3, "ab": 13, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 20, "source_aliases": [ "GENETICS 885" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 885", "course_uid": "course_5cc58ca238bb38637ce307c6", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Audrey Gasch", "Nicole Perna" ], "a": 4, "ab": 5, "b": 11, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "GENETICS 885" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 885", "course_uid": "course_5cc58ca238bb38637ce307c6", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Audrey Gasch", "Nicole Perna" ], "a": 6, "ab": 8, "b": 6, "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": 20, "source_aliases": [ "GENETICS 885" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 885", "course_uid": "course_5cc58ca238bb38637ce307c6", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Audrey Gasch", "Nicole Perna" ], "a": 2, "ab": 11, "b": 1, "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": 15, "source_aliases": [ "GENETICS 885" ] } ] ``` ### statistics #### gpa 3.46 #### graded 99 #### counts * 23 * 49 * 24 * 2 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_5cc58ca238bb38637ce307c6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_5cc58ca238bb38637ce307c6-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_5cc58ca238bb38637ce307c6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_5cc58ca238bb38637ce307c6-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_5cc58ca238bb38637ce307c6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_5cc58ca238bb38637ce307c6-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_5cc58ca238bb38637ce307c6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_5cc58ca238bb38637ce307c6-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.45959595959596 #### count 99 #### university ##### size 2830 ##### gpa Percentile 23 ##### count Percentile 48 ##### median Count 104 ##### 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 | 7 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 807 | true | | 3.6–4.0 | 1800 | false | #### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 21, "gpaPercentile": 20, "countPercentile": 55, "medianCount": 85, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` ### terms #### 1172 ##### term 1172 ##### gpa 3.608695652173913 ##### count 23 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1192 ##### term 1192 ##### gpa 3.5 ##### count 19 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1212 ##### term 1212 ##### gpa 3.25 ##### count 22 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1232 ##### term 1232 ##### gpa 3.5 ##### count 20 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1252 ##### term 1252 ##### gpa 3.433333333333333 ##### count 15 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | ### benchmarks #### all ##### school ###### size 2830 ###### gpa 3.6579851927285136 ###### top Share 81.81942356520678 ###### count 104 ##### GENETICS ###### size 21 ###### gpa 3.6709406581916038 ###### top Share 81.73815237683368 ###### count 85 #### terms ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 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 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_6075a97cdfdbdde2c25d6431", "name": "AUDREY GASCH", "count": 99, "terms": [ { "term": "1172", "count": 23, "sections": 1, "gpa": 3.608695652173913 }, { "term": "1192", "count": 19, "sections": 1, "gpa": 3.5 }, { "term": "1212", "count": 22, "sections": 1, "gpa": 3.25 }, { "term": "1232", "count": 20, "sections": 1, "gpa": 3.5 }, { "term": "1252", "count": 15, "sections": 1, "gpa": 3.433333333333333 } ] }, { "uid": "instructor_a2efd55abd7bcafc8c536c70", "name": "NICOLE T PERNA", "count": 99, "terms": [ { "term": "1172", "count": 23, "sections": 1, "gpa": 3.608695652173913 }, { "term": "1192", "count": 19, "sections": 1, "gpa": 3.5 }, { "term": "1212", "count": 22, "sections": 1, "gpa": 3.25 }, { "term": "1232", "count": 20, "sections": 1, "gpa": 3.5 }, { "term": "1252", "count": 15, "sections": 1, "gpa": 3.433333333333333 } ] } ] ``` ## following None recorded.