# MICROBIO 526: Physiology of Microorganisms | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MICROBIO_526) ## 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 21d8013baeaf754a21459c06474ef13a6e5214dde2710f88240e8031ba219e5d ### course id MICROBIO 526 ### course uid course\_f33d6f3a41db811ccee29b17 ### catalog version id 359a3c77f5168acc73c9e75d66bef1ee1eff2e5a528bed929fb3550ca69726f5 ### course number 526 ### subjects * MICROBIO ### title PHYSIOLOGY OF MICROORGANISMS ### description Biochemistry of microbial processes. ### requirements text (BIOCHEM 501or507or concurrent enrollment) or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:192:001631 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id f128a3a6da7eb0fa46f65ef38bfe73b2d72d62316935a49d6386b91239d13757 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers the biochemistry and physiology of microbial processes. ### llm topics * Biochemistry of microbial processes ### llm skills None recorded. ### llm assumed background * Foundational biochemistry including metabolism and protein structure. ### llm search phrases * microbial biochemistry * physiology of microorganisms * microbial metabolism * MICROBIO 526 ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 3d9d548489c108fd7f1d1a3512186e1e3034d0c90a6ab4f71040af6ccea96cc2 #### course id MICROBIO 526 #### current instructors ```json [ { "instructor_uid": "instructor_efb39daa96cf3bac6c7145f0", "message": "No course-specific reviews available", "name": "Michael Thomas", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:832962", "summary": [ { "citations": [ { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.25 GPA, 50.8% A/AB (n=63 letter grades); Fall 2025: 3.26 GPA, 53.2% A/AB (n=47 letter grades); Spring 2026: 3.00 GPA, 43.5% A/AB (n=46 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 — Spring 2025: 3.36 GPA, 58.3% A/AB (n=36 letter grades); Fall 2025: 3.26 GPA, 53.2% A/AB (n=47 letter grades); Spring 2026: 3.00 GPA, 43.5% A/AB (n=46 letter grades). ```json { "citations": [ { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "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 MICHAEL THOMAS is recorded teaching in Spring 2008, Fall 2008, Fall 2009, Fall 2010, Fall 2011, Spring 2014, Spring 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Fall 2022, Fall 2023, Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 526", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "source_record": { "entity_id": "0bc821ad-9015-3dc7-979e-95c5f1c43c44", "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" ], "condition": null, "course": null, "evidence": "(BIOCHEM 501or507or concurrent enrollment) or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "BIOCHEM 501or507or concurrent enrollment", "id": "n1", "kind": "any" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 501, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior_or_concurrent" }, "evidence": "BIOCHEM 501or", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 507, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior_or_concurrent" }, "evidence": "507or concurrent enrollment", "id": "n4", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_efb39daa96cf3bac6c7145f0", "source": "enrollment", "source_instructor_id": "mgthoma1", "identity_basis": "netid", "identity_status": "source_identified", "name": "Michael Thomas", "email": "MICHAEL.THOMAS@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": 18, "quality": 4.89, "difficulty": 3.56, "quality_count": 18, "difficulty_count": 18, "profile_id": "rmp:832962", "source_url": "https://www.ratemyprofessors.com/professor/832962", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:34.187098+00:00", "courses": {}, "bayesian_quality": 4.242466201866629, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MICHAEL_THOMAS" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:192:001631", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1272", "source_course_id": "001631", "source_subject_id": "192", "title": "Physiology of Microorganisms", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10341", "term_id": "1272", "source_section_id": "10341", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 85, "enrolled": 62, "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_4a75d301930cb8895e4e534b", "source": "madgrades", "source_instructor_id": "275236", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEPHEN BARCLAY", "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": 57, "quality": 2.98, "difficulty": 3.39, "quality_count": 57, "difficulty_count": 57, "profile_id": "rmp:133466", "source_url": "https://www.ratemyprofessors.com/professor/133466", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:50.838528+00:00", "courses": {}, "bayesian_quality": 3.1565417619601543, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.925, "graded": 2527, "counts": [ 419, 544, 669, 399, 356, 96, 44 ], "sections": 23 }, "instructor_url": "/instructors/STEPHEN_BARCLAY--instructor_4a75d301930cb8895e4e534b" }, { "instructor_uid": "instructor_476d1e5f32e4574b2f381c82", "source": "madgrades", "source_instructor_id": "2600151", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HEIDI GOODRICH-BLAIR", "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": 3.36, "graded": 349, "counts": [ 152, 62, 76, 19, 35, 2, 3 ], "sections": 72 }, "instructor_url": "/instructors/HEIDI_GOODRICH-BLAIR--instructor_476d1e5f32e4574b2f381c82" }, { "instructor_uid": "instructor_970e6b5f0e3588b6ce2496de", "source": "madgrades", "source_instructor_id": "140812", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL THOMAS", "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": 18, "quality": 4.89, "difficulty": 3.56, "quality_count": 18, "difficulty_count": 18, "profile_id": "rmp:832962", "source_url": "https://www.ratemyprofessors.com/professor/832962", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:34.187098+00:00", "courses": {}, "bayesian_quality": 4.242466201866629, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.169, "graded": 818, "counts": [ 293, 142, 177, 72, 87, 38, 9 ], "sections": 114 }, "instructor_url": "/instructors/MICHAEL_THOMAS--instructor_970e6b5f0e3588b6ce2496de" }, { "instructor_uid": "instructor_2af7406bb930826f6d9ef758", "source": "madgrades", "source_instructor_id": "4873629", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KIMBERLY DILL-MCFARLAND", "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": 2.743, "graded": 68, "counts": [ 14, 14, 10, 11, 8, 8, 3 ], "sections": 1 }, "instructor_url": "/instructors/KIMBERLY_DILL-MCFARLAND--instructor_2af7406bb930826f6d9ef758" }, { "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" }, { "instructor_uid": "instructor_b28047769138316289eba782", "source": "madgrades", "source_instructor_id": "5273660", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANIEL AMADOR-NOGUEZ", "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": 5, "quality": 4.8, "difficulty": 3.8, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:2204141", "source_url": "https://www.ratemyprofessors.com/professor/2204141", "match_basis": "exact_name", "observed_at": "2026-09-07 16:46:19.690172+00:00", "courses": {}, "bayesian_quality": 3.8877486268372765, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.441, "graded": 621, "counts": [ 327, 94, 98, 38, 47, 17, 0 ], "sections": 66 }, "instructor_url": "/instructors/DANIEL_AMADOR-NOGUEZ--instructor_b28047769138316289eba782" }, { "instructor_uid": "instructor_094ed08edfa98037789a28af", "source": "madgrades", "source_instructor_id": "6324623", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ERICA MAJUMDER", "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": 3.249, "graded": 237, "counts": [ 75, 54, 61, 24, 15, 8, 0 ], "sections": 47 }, "instructor_url": "/instructors/ERICA_MAJUMDER--instructor_094ed08edfa98037789a28af" }, { "instructor_uid": "instructor_efb39daa96cf3bac6c7145f0", "source": "enrollment", "source_instructor_id": "mgthoma1", "identity_basis": "netid", "identity_status": "source_identified", "name": "Michael Thomas", "email": "MICHAEL.THOMAS@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": 18, "quality": 4.89, "difficulty": 3.56, "quality_count": 18, "difficulty_count": 18, "profile_id": "rmp:832962", "source_url": "https://www.ratemyprofessors.com/professor/832962", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:34.187098+00:00", "courses": {}, "bayesian_quality": 4.242466201866629, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MICHAEL_THOMAS" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "STEPHEN BARCLAY" ], "a": 23, "ab": 10, "b": 16, "bc": 1, "c": 5, "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": 55, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "HEIDI GOODRICH-BLAIR" ], "a": 21, "ab": 15, "b": 15, "bc": 4, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "Michael Thomas" ], "a": 5, "ab": 6, "b": 2, "bc": 3, "c": 3, "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": 19, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "Michael Thomas" ], "a": 14, "ab": 8, "b": 18, "bc": 8, "c": 5, "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": 53, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "Michael Thomas" ], "a": 12, "ab": 8, "b": 12, "bc": 6, "c": 4, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 45, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Michael Thomas" ], "a": 11, "ab": 13, "b": 16, "bc": 6, "c": 6, "d": 8, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "Michael Thomas" ], "a": 19, "ab": 7, "b": 7, "bc": 16, "c": 7, "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": 57, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Garret Suen", "KIMBERLY DILL-MCFARLAND" ], "a": 14, "ab": 14, "b": 10, "bc": 11, "c": 8, "d": 8, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 69, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Garret Suen" ], "a": 7, "ab": 20, "b": 15, "bc": 24, "c": 10, "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": 77, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Michael Thomas" ], "a": 17, "ab": 6, "b": 7, "bc": 1, "c": 5, "d": 1, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 41, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Daniel Amador-Noguez" ], "a": 32, "ab": 6, "b": 10, "bc": 5, "c": 4, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Michael Thomas" ], "a": 15, "ab": 15, "b": 10, "bc": 2, "c": 8, "d": 7, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 58, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Daniel Amador-Noguez" ], "a": 35, "ab": 10, "b": 19, "bc": 4, "c": 9, "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": 78, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Garret Suen" ], "a": 10, "ab": 11, "b": 9, "bc": 4, "c": 2, "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": 37, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Daniel Amador-Noguez" ], "a": 40, "ab": 9, "b": 12, "bc": 5, "c": 2, "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": 70, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Michael Thomas" ], "a": 20, "ab": 4, "b": 14, "bc": 2, "c": 4, "d": 4, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Daniel Amador-Noguez" ], "a": 39, "ab": 13, "b": 1, "bc": 3, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Michael Thomas" ], "a": 19, "ab": 10, "b": 7, "bc": 1, "c": 9, "d": 1, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Daniel Amador-Noguez" ], "a": 27, "ab": 9, "b": 12, "bc": 3, "c": 11, "d": 3, "f": 0, 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], "a": 25, "ab": 10, "b": 12, "bc": 5, "c": 7, "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": 61, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Michael Thomas" ], "a": 39, "ab": 17, "b": 10, "bc": 0, "c": 3, "d": 2, "f": 0, "satisfactory": 6, "unsatisfactory": 2, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 79, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Daniel Amador-Noguez" ], "a": 27, "ab": 10, "b": 11, "bc": 2, "c": 4, "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": 55, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Daniel Amador-Noguez" ], "a": 36, "ab": 7, "b": 10, "bc": 2, "c": 2, "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": 58, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Erica Majumder" ], "a": 17, "ab": 14, "b": 21, "bc": 6, "c": 3, "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": 62, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Michael Thomas" ], "a": 19, "ab": 9, "b": 9, "bc": 5, "c": 6, "d": 3, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 53, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Erica Majumder" ], "a": 15, "ab": 9, "b": 10, "bc": 1, "c": 3, "d": 3, "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": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Michael Thomas" ], "a": 12, "ab": 13, "b": 15, "bc": 1, "c": 6, "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": 48, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Erica Majumder" ], "a": 15, "ab": 14, "b": 12, "bc": 4, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Michael Thomas" ], "a": 24, "ab": 8, "b": 16, "bc": 7, "c": 7, "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": 63, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Erica Majumder" ], "a": 13, "ab": 8, "b": 9, "bc": 4, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Michael Thomas" ], "a": 20, "ab": 5, "b": 12, "bc": 5, "c": 2, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "MICROBIO 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 526", "course_uid": "course_f33d6f3a41db811ccee29b17", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Daniel Amador-Noguez", "Erica Majumder", "Michael Thomas" ], "a": 11, "ab": 9, "b": 9, "bc": 9, "c": 5, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "MICROBIO 526" ] } ] ``` ### statistics #### gpa 3.233 #### graded 1785 #### counts * 668 * 331 * 381 * 160 * 166 * 65 * 14 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f33d6f3a41db811ccee29b17-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f33d6f3a41db811ccee29b17-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f33d6f3a41db811ccee29b17-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f33d6f3a41db811ccee29b17-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_f33d6f3a41db811ccee29b17-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_f33d6f3a41db811ccee29b17-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f33d6f3a41db811ccee29b17-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f33d6f3a41db811ccee29b17-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.2327731092436975 #### count 1785 #### university ##### size 5685 ##### gpa Percentile 7 ##### count Percentile 91 ##### median Count 219 ##### 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 | 10 | false | | 2.8–3.2 | 348 | false | | 3.2–3.6 | 1520 | true | | 3.6–4.0 | 3807 | false | #### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 32, "gpaPercentile": 13, "countPercentile": 87, "medianCount": 756, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.409090909090909 ##### count 55 ##### university ###### size 723 ###### gpa Percentile 58 ###### count Percentile 39 ###### 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 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1082 ##### term 1082 ##### gpa 3.4298245614035086 ##### count 57 ##### university ###### size 723 ###### gpa Percentile 59 ###### 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 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | true | | 3.6–4.0 | 204 | false | ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1084 ##### term 1084 ##### gpa 3.1842105263157894 ##### count 19 ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1092 ##### term 1092 ##### gpa 3.169811320754717 ##### count 53 ##### university ###### size 732 ###### gpa Percentile 31 ###### count Percentile 34 ###### 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 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 40, "countPercentile": 40, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.066666666666667 ##### count 45 ##### university ###### size 774 ###### gpa Percentile 23 ###### count Percentile 27 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 20, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 2.782258064516129 ##### count 62 ##### university ###### size 805 ###### gpa Percentile 5 ###### count Percentile 46 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | true | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 18, "countPercentile": 55, "medianCount": 60, "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": 3, "current": true }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.0964912280701755 ##### count 57 ##### university ###### size 804 ###### gpa Percentile 25 ###### count Percentile 41 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 40, "medianCount": 61, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 2.7426470588235294 ##### count 68 ##### university ###### size 851 ###### gpa Percentile 4 ###### count Percentile 51 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | true | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 0, "countPercentile": 50, "medianCount": 68, "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": 2, "current": true }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 2.896103896103896 ##### count 77 ##### university ###### size 853 ###### gpa Percentile 8 ###### count Percentile 58 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 0, "countPercentile": 45, "medianCount": 79, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.0875 ##### count 40 ##### university ###### size 878 ###### gpa Percentile 21 ###### count Percentile 20 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | true | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 22, "countPercentile": 0, "medianCount": 79, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.375 ##### count 60 ##### university ###### size 918 ###### gpa Percentile 46 ###### count Percentile 45 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 42, "medianCount": 62, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 2.991228070175439 ##### count 57 ##### university ###### size 935 ###### gpa Percentile 14 ###### count Percentile 43 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 0, "countPercentile": 20, "medianCount": 81, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.3461538461538463 ##### count 78 ##### university ###### size 954 ###### gpa Percentile 40 ###### count Percentile 59 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 67, "countPercentile": 50, "medianCount": 78, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.22972972972973 ##### count 37 ##### university ###### size 965 ###### gpa Percentile 28 ###### count Percentile 14 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 10, "medianCount": 80, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.5142857142857142 ##### count 70 ##### university ###### size 991 ###### gpa Percentile 53 ###### count Percentile 53 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 14, "gpaPercentile": 69, "countPercentile": 54, "medianCount": 67.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.1875 ##### count 48 ##### university ###### size 955 ###### gpa Percentile 25 ###### count Percentile 31 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 33, "countPercentile": 0, "medianCount": 86.5, "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": 4, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.65 ##### count 60 ##### university ###### size 1025 ###### gpa Percentile 65 ###### count Percentile 42 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 82, "countPercentile": 36, "medianCount": 75.5, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.07 ##### count 50 ##### university ###### size 1010 ###### gpa Percentile 15 ###### count Percentile 34 ###### 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 | 26 | false | | 2.8–3.2 | 210 | true | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 10, "countPercentile": 30, "medianCount": 67, "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": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.2 ##### count 65 ##### university ###### size 1077 ###### gpa Percentile 21 ###### count Percentile 48 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 17, "countPercentile": 58, "medianCount": 59, "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": 9, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.2 ##### count 40 ##### university ###### size 1040 ###### gpa Percentile 23 ###### 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 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 42, "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": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.2704918032786887 ##### count 61 ##### university ###### size 1102 ###### gpa Percentile 27 ###### count Percentile 45 ###### 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 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 55, "medianCount": 60, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.5704225352112675 ##### count 71 ##### university ###### size 1012 ###### gpa Percentile 28 ###### count Percentile 54 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 55, "countPercentile": 55, "medianCount": 64, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.4545454545454546 ##### count 55 ##### university ###### size 1111 ###### gpa Percentile 31 ###### 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 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 27, "medianCount": 65, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.5948275862068964 ##### count 58 ##### university ###### size 1157 ###### gpa Percentile 46 ###### count Percentile 44 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 82, "countPercentile": 55, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.2580645161290325 ##### count 62 ##### university ###### size 1171 ###### gpa Percentile 20 ###### count Percentile 47 ###### 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 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 46, "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": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.176470588235294 ##### count 51 ##### university ###### size 1216 ###### gpa Percentile 14 ###### 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 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 9, "countPercentile": 45, "medianCount": 51, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.2439024390243905 ##### count 41 ##### university ###### size 1188 ###### gpa Percentile 17 ###### count Percentile 23 ###### 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 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 15, "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": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.1875 ##### count 48 ##### university ###### size 1295 ###### gpa Percentile 13 ###### count Percentile 35 ###### 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 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 18, "medianCount": 54, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.3333333333333335 ##### count 48 ##### university ###### size 1241 ###### gpa Percentile 21 ###### count Percentile 34 ###### 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 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 25, "countPercentile": 33, "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": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.246031746031746 ##### count 63 ##### university ###### size 1333 ###### gpa Percentile 12 ###### count Percentile 45 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 45, "medianCount": 63, "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": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.361111111111111 ##### count 36 ##### university ###### size 1289 ###### gpa Percentile 21 ###### count Percentile 13 ###### 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 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 16, "gpaPercentile": 27, "countPercentile": 13, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.25531914893617 ##### count 47 ##### university ###### size 1320 ###### gpa Percentile 13 ###### count Percentile 29 ###### 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 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 25, "countPercentile": 25, "medianCount": 57, "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": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3 ##### count 46 ##### university ###### size 1283 ###### gpa Percentile 5 ###### count Percentile 30 ###### 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 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 16, "gpaPercentile": 0, "countPercentile": 33, "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": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5685 ###### gpa 3.678229535689779 ###### top Share 82.94235241814508 ###### count 219 ##### MICROBIO ###### size 32 ###### gpa 3.61212482896696 ###### top Share 76.94519155320967 ###### count 756 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MICROBIO ###### size 11 ###### gpa 3.3450786852393324 ###### top Share 58.1139852764356 ###### count 56 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MICROBIO ###### size 11 ###### gpa 3.2023951221587406 ###### top Share 49.35451810735929 ###### count 55 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MICROBIO ###### size 12 ###### gpa 3.218843570163392 ###### top Share 53.87327470690813 ###### count 60 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MICROBIO ###### size 11 ###### gpa 3.23093276238275 ###### top Share 52.876509049183575 ###### count 61 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MICROBIO ###### size 11 ###### gpa 3.164706350372514 ###### top Share 48.95415755675061 ###### count 68 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MICROBIO ###### size 12 ###### gpa 3.3733693439770835 ###### top Share 60.393709391234275 ###### count 79 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MICROBIO ###### size 10 ###### gpa 3.3896337099643423 ###### top Share 62.869396791831186 ###### count 79 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MICROBIO ###### size 13 ###### gpa 3.3062938089873275 ###### top Share 55.861924139369826 ###### count 62 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MICROBIO ###### size 11 ###### gpa 3.4031639336364634 ###### top Share 62.61501313758247 ###### count 81 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MICROBIO ###### size 13 ###### gpa 3.3245690050048697 ###### top Share 58.15952429216176 ###### count 78 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MICROBIO ###### size 11 ###### gpa 3.436011251710244 ###### top Share 64.87399081980992 ###### count 80 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MICROBIO ###### size 14 ###### gpa 3.3835802480854715 ###### top Share 61.98359235086775 ###### count 67.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MICROBIO ###### size 10 ###### gpa 3.33388384196194 ###### top Share 61.20313522648873 ###### count 86.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MICROBIO ###### size 12 ###### gpa 3.375356717109529 ###### top Share 59.95633365389819 ###### count 75.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MICROBIO ###### size 11 ###### gpa 3.425725161432695 ###### top Share 66.34827825353001 ###### count 67 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MICROBIO ###### size 13 ###### gpa 3.3856282972738163 ###### top Share 60.56256837357981 ###### count 59 ##### 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 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MICROBIO ###### size 12 ###### gpa 3.3863294677657625 ###### top Share 58.912850542574226 ###### count 60 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MICROBIO ###### size 12 ###### gpa 3.620300451380063 ###### top Share 75.05542468314296 ###### count 64 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MICROBIO ###### size 12 ###### gpa 3.4640598539997356 ###### top Share 65.71289127908611 ###### count 65 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MICROBIO ###### size 12 ###### gpa 3.4031789352662347 ###### top Share 61.43186245060833 ###### count 55 ##### 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 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MICROBIO ###### size 12 ###### gpa 3.4208813383253847 ###### top Share 62.20982706405716 ###### count 51 ##### 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 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MICROBIO ###### size 12 ###### gpa 3.3844851592825442 ###### top Share 60.35002960217381 ###### count 54 ##### 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 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MICROBIO ###### size 12 ###### gpa 3.487467221017038 ###### top Share 65.92107506231086 ###### count 63 ##### 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 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MICROBIO ###### size 13 ###### gpa 3.4650783207340434 ###### top Share 67.77710359326059 ###### count 57 ##### 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_970e6b5f0e3588b6ce2496de", "name": "MICHAEL THOMAS", "count": 797, "terms": [ { "term": "1084", "count": 19, "sections": 1, "gpa": 3.1842105263157894 }, { "term": "1092", "count": 53, "sections": 1, "gpa": 3.169811320754717 }, { "term": "1102", "count": 45, "sections": 1, "gpa": 3.066666666666667 }, { "term": "1112", "count": 62, "sections": 1, "gpa": 2.782258064516129 }, { "term": "1122", "count": 57, "sections": 1, "gpa": 3.0964912280701755 }, { "term": "1144", "count": 40, "sections": 1, "gpa": 3.0875 }, { "term": "1154", "count": 57, "sections": 1, "gpa": 2.991228070175439 }, { "term": "1174", "count": 48, "sections": 1, "gpa": 3.1875 }, { "term": "1184", "count": 50, "sections": 1, "gpa": 3.07 }, { "term": "1194", "count": 40, "sections": 1, "gpa": 3.2 }, { "term": "1204", "count": 71, "sections": 1, "gpa": 3.5704225352112675 }, { "term": "1232", "count": 51, "sections": 1, "gpa": 3.176470588235294 }, { "term": "1242", "count": 48, "sections": 1, "gpa": 3.1875 }, { "term": "1252", "count": 63, "sections": 1, "gpa": 3.246031746031746 }, { "term": "1262", "count": 47, "sections": 1, "gpa": 3.25531914893617 }, { "term": "1264", "count": 46, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_b28047769138316289eba782", "name": "DANIEL AMADOR-NOGUEZ", "count": 553, "terms": [ { "term": "1152", "count": 60, "sections": 1, "gpa": 3.375 }, { "term": "1162", "count": 78, "sections": 1, "gpa": 3.3461538461538463 }, { "term": "1172", "count": 70, "sections": 1, "gpa": 3.5142857142857142 }, { "term": "1182", "count": 60, "sections": 1, "gpa": 3.65 }, { "term": "1192", "count": 65, "sections": 1, "gpa": 3.2 }, { "term": "1202", "count": 61, "sections": 1, "gpa": 3.2704918032786887 }, { "term": "1212", "count": 55, "sections": 1, "gpa": 3.4545454545454546 }, { "term": "1222", "count": 58, "sections": 1, "gpa": 3.5948275862068964 }, { "term": "1264", "count": 46, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_094ed08edfa98037789a28af", "name": "ERICA MAJUMDER", "count": 233, "terms": [ { "term": "1224", "count": 62, "sections": 1, "gpa": 3.2580645161290325 }, { "term": "1234", "count": 41, "sections": 1, "gpa": 3.2439024390243905 }, { "term": "1244", "count": 48, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1254", "count": 36, "sections": 1, "gpa": 3.361111111111111 }, { "term": "1264", "count": 46, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_fddcadd9c573f8890f2bd37b", "name": "GARRET SUEN", "count": 182, "terms": [ { "term": "1132", "count": 68, "sections": 1, "gpa": 2.7426470588235294 }, { "term": "1142", "count": 77, "sections": 1, "gpa": 2.896103896103896 }, { "term": "1164", "count": 37, "sections": 1, "gpa": 3.22972972972973 } ] }, { "uid": "instructor_2af7406bb930826f6d9ef758", "name": "KIMBERLY DILL-MCFARLAND", "count": 68, "terms": [ { "term": "1132", "count": 68, "sections": 1, "gpa": 2.7426470588235294 } ] }, { "uid": "instructor_476d1e5f32e4574b2f381c82", "name": "HEIDI GOODRICH-BLAIR", "count": 57, "terms": [ { "term": "1082", "count": 57, "sections": 1, "gpa": 3.4298245614035086 } ] }, { "uid": "instructor_4a75d301930cb8895e4e534b", "name": "STEPHEN BARCLAY", "count": 55, "terms": [ { "term": "1072", "count": 55, "sections": 1, "gpa": 3.409090909090909 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 2.99 #### upper 3.54 #### coverage 80 #### terms 8 ### gpa 3.2695558264660822 ### grades | grade | percentage | | ----- | ------------------- | | A | 39.72136483975957 | | AB | 15.50128027067856 | | B | 24.37730196758735 | | BC | 8.118914127440311 | | C | 8.50194884658889 | | D | 3.382553425654331 | | F | 0.39663652229097257 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 267 ### same Season true ### historical Range * 3.176470588235294 * 3.594827586206897 ### backtest #### terms 8 #### gpa Error 0.147696476985889 #### mix Error 14.50802962348472