# MICROBIO 657: Bioinformatics for Microbiologists | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MICROBIO_657) ## 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 fd78c94fe29b55a649c31e30f384f971c681669747f8c4f2c0d0b34858a0383d ### course id MICROBIO 657 ### course uid course\_a595ff5e652a1f7696b443d0 ### catalog version id 44038d334406194499a7bac18fe8cd2497ad55b35a7eb348aa9f86e36edad16c ### course number 657 ### subjects * MICROBIO ### title BIOINFORMATICS FOR MICROBIOLOGISTS ### description Provides a practical and fundamental introduction to sequence-based analysis focused on microbial systems. Emphasis on gaining a basic understanding of the principles of both classical and newer algorithms useful for bioinformatic analysis. Topics include: BLAST; RNA-seq analysis; transcriptional binding prediction; genome sequence assembly, analysis and annotation; and comparative genomics. Note that this course requires that each student have access to a laptop that runs a linux/unix Operating System such as a Mac or a ChromeBook. PC Laptops running a VM are also acceptable. No prior knowledge of computational biology is required. ### requirements text MICROBIO 303,BIOCHEM 501,GENETICS 466, or467or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 20b525a5c283a044f0b33822da993444a1f4f59197f695c7de218b2bece7dcf9 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary A practical introduction to sequence-based bioinformatics for microbial systems, covering BLAST, RNA-seq, and genome assembly. ### llm topics * BLAST and RNA-seq analysis * Transcriptional binding prediction and genome annotation * Comparative genomics ### llm skills * Applying bioinformatic algorithms to microbial systems. * Performing sequence-based analysis including BLAST, RNA-seq, and genome annotation. ### llm assumed background * Foundational knowledge in microbiology, biochemistry, and genetics. ### llm search phrases * microbial bioinformatics * RNA-seq analysis * genome assembly * BLAST algorithms * comparative genomics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash ce5da51bdc9591d2dfbc3e161d3c11e3f8300a2d031dbd3739f439b88f75ee1b #### course id MICROBIO 657 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.92 GPA, 96.0% A/AB (n=50 letter grades); Spring 2025: 3.96 GPA, 98.0% A/AB (n=49 letter grades); Spring 2026: 3.80 GPA, 97.6% A/AB (n=42 letter grades). ```json { "citations": [ { "course_id": "MICROBIO 657", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3752583a-9aa0-3abc-97dd-6790cbb286a1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MICROBIO 657", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3752583a-9aa0-3abc-97dd-6790cbb286a1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 657", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3752583a-9aa0-3abc-97dd-6790cbb286a1", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "MICROBIO 303,BIOCHEM 501,GENETICS 466, or467or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "MICROBIO" ], "timing": "prior" }, "evidence": "MICROBIO 303", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 501, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "BIOCHEM 501", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 466, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "GENETICS 466", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 467, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "467", "id": "n4", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n5", "kind": "condition" } ] ``` #### notes * The requirements text lists multiple alternative prerequisites. Parsed as an 'any' condition connecting all options to the root. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_fddcadd9c573f8890f2bd37b", "source": "madgrades", "source_instructor_id": "4913543", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GARRET SUEN", "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": 3.75, "graded": 985, "counts": [ 771, 90, 47, 41, 21, 9, 6 ], "sections": 114 }, "instructor_url": "/instructors/GARRET_SUEN--instructor_fddcadd9c573f8890f2bd37b" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 657", "course_uid": "course_a595ff5e652a1f7696b443d0", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Garret Suen" ], "a": 35, "ab": 3, "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": 40, "source_aliases": [ "MICROBIO 657" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 657", "course_uid": "course_a595ff5e652a1f7696b443d0", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Garret Suen" ], "a": 46, "ab": 4, "b": 2, "bc": 0, "c": 1, "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": 54, "source_aliases": [ "MICROBIO 657" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 657", "course_uid": "course_a595ff5e652a1f7696b443d0", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Garret Suen" ], "a": 44, "ab": 3, "b": 0, "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": 48, "source_aliases": [ "MICROBIO 657" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 657", "course_uid": "course_a595ff5e652a1f7696b443d0", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Garret Suen" ], "a": 46, "ab": 2, "b": 0, "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": 50, "source_aliases": [ "MICROBIO 657" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 657", "course_uid": "course_a595ff5e652a1f7696b443d0", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Garret Suen" ], "a": 46, "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": 49, "source_aliases": [ "MICROBIO 657" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 657", "course_uid": "course_a595ff5e652a1f7696b443d0", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Garret Suen" ], "a": 30, "ab": 11, "b": 0, "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": [ "MICROBIO 657" ] } ] ``` ### statistics #### gpa 3.895 #### graded 282 #### counts * 247 * 25 * 5 * 2 * 1 * 1 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a595ff5e652a1f7696b443d0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a595ff5e652a1f7696b443d0-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a595ff5e652a1f7696b443d0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a595ff5e652a1f7696b443d0-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a595ff5e652a1f7696b443d0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a595ff5e652a1f7696b443d0-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.895390070921986 #### count 282 #### university ##### size 3165 ##### gpa Percentile 74 ##### count Percentile 76 ##### median Count 117 ##### 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 | 12 | false | | 2.8–3.2 | 211 | false | | 3.2–3.6 | 803 | false | | 3.6–4.0 | 2138 | true | #### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 23, "gpaPercentile": 68, "countPercentile": 59, "medianCount": 267, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` ### terms #### 1194 ##### term 1194 ##### gpa 3.9125 ##### count 40 ##### university ###### size 1040 ###### gpa Percentile 87 ###### 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 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 17, "medianCount": 49, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.814814814814815 ##### count 54 ##### university ###### size 1171 ###### gpa Percentile 71 ###### count Percentile 41 ###### 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": "MICROBIO", "comparison": { "size": 14, "gpaPercentile": 77, "countPercentile": 31, "medianCount": 66, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.9680851063829787 ##### count 47 ##### university ###### size 1188 ###### gpa Percentile 91 ###### count Percentile 32 ###### 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 ```json [ { "subject": "MICROBIO", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 46, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.92 ##### count 50 ##### university ###### size 1241 ###### gpa Percentile 84 ###### count Percentile 36 ###### 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 ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 42, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.9591836734693877 ##### count 49 ##### university ###### size 1289 ###### gpa Percentile 90 ###### count Percentile 34 ###### 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": "MICROBIO", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 40, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.7976190476190474 ##### count 42 ##### university ###### size 1283 ###### gpa Percentile 62 ###### count Percentile 24 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 16, "gpaPercentile": 60, "countPercentile": 20, "medianCount": 56, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3165 ###### gpa 3.680301219408853 ###### top Share 83.26988817142224 ###### count 117 ##### MICROBIO ###### size 23 ###### gpa 3.61299305523862 ###### top Share 76.75218294045607 ###### count 267 #### terms ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MICROBIO ###### size 13 ###### gpa 3.409903133510628 ###### top Share 63.8125715339426 ###### count 49 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MICROBIO ###### size 14 ###### gpa 3.4867919301164108 ###### top Share 67.54624190869264 ###### count 66 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MICROBIO ###### size 14 ###### gpa 3.508011136012051 ###### top Share 68.5447676792012 ###### count 55.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MICROBIO ###### size 13 ###### gpa 3.580176440600032 ###### top Share 72.86950540253491 ###### count 55 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MICROBIO ###### size 16 ###### gpa 3.606108325255848 ###### top Share 74.93299235211991 ###### count 64.5 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MICROBIO ###### size 16 ###### gpa 3.4872646204586175 ###### top Share 69.93306631199319 ###### count 56 ## instructor Trends ```json [ { "uid": "instructor_fddcadd9c573f8890f2bd37b", "name": "GARRET SUEN", "count": 282, "terms": [ { "term": "1194", "count": 40, "sections": 1, "gpa": 3.9125 }, { "term": "1224", "count": 54, "sections": 1, "gpa": 3.814814814814815 }, { "term": "1234", "count": 47, "sections": 1, "gpa": 3.9680851063829787 }, { "term": "1244", "count": 50, "sections": 1, "gpa": 3.92 }, { "term": "1254", "count": 49, "sections": 1, "gpa": 3.9591836734693877 }, { "term": "1264", "count": 42, "sections": 1, "gpa": 3.7976190476190474 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.887426733998926 ### grades | grade | percentage | | ----- | ------------------ | | A | 85.74321126557794 | | AB | 11.398721291463058 | | B | 0.9369615951515725 | | BC | 0.7615421227986673 | | C | 0.2256421104588644 | | D | 0.7082795040910222 | | F | 0.2256421104588644 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 242 ### same Season false ### historical Range * 3.7976190476190474 * 3.9680851063829787