# MICROBIO 305: Critical Analyses in Microbiology | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MICROBIO_305) ## 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 2a1acc6d6dea7ed7205138d5ae2a2e969d040303d85614ebdbba34894819623d ### course id MICROBIO 305 ### course uid course\_ef59a9cd54a49c2e62bbbbb9 ### catalog version id 12e4be660bacf1ad557449a27b97f85cab05db869a442db1edbb3ad6cdb55f85 ### course number 305 ### subjects * MICROBIO ### title CRITICAL ANALYSES IN MICROBIOLOGY ### description Train students to become scientific problem-solvers, to critically analyze data, and to comprehend the principles of microbiological research via active discussion of a combination of scholarly papers and contemporary, hot topics in our field. ### requirements text MICROBIO 303or concurrent enrollment ### credits min 1 ### credits max 1 ### credit offering ids * 1272:192:023365 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id b4a4be8bac85ca14dfc49956fbb817891f733cdd793129d87d6ca6c0be1446d8 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary This course trains students in scientific problem-solving and critical data analysis through the discussion of scholarly papers and contemporary topics in microbiology. ### llm topics * Contemporary topics in microbiology * Scholarly literature in microbiology ### llm skills * Scientific problem-solving * Critical data analysis * Understanding microbiological research principles ### llm assumed background * Fundamental microbiology concepts including structure, function, physiology, genetics, ecology, diversity, and evolution of microorganisms. ### llm search phrases * microbiology critical analysis * scientific problem solving microbiology * microbial research methods * critical thinking microbiology ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash ec5dc75018a5668605ddc94897f8a260c773331fb55b39ab26abf4045833e90b #### course id MICROBIO 305 #### current instructors ```json [ { "instructor_uid": "instructor_d8f4dc679e3c2d2867ec657f", "message": "No course-specific reviews available", "name": "Federico Rey", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "source_record": { "entity_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "source_record": { "entity_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "source_record": { "entity_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.79 GPA, 94.7% A/AB (n=19 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=30 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: 4.00 GPA, 100.0% A/AB (n=35 letter grades); Fall 2025: 3.89 GPA, 97.5% A/AB (n=40 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=30 letter grades). ```json { "citations": [ { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "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 FEDERICO REY is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "source_record": { "entity_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "source_record": { "entity_id": "4240044c-e8e4-3b96-9eec-42a2747f5a53", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MICROBIO 305", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": 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identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------ | --------------- | -------------------------------- | -------------------------------- | -------------------------- | | instructor\_d8f4dc679e3c2d2867ec657f | enrollment | ferey | netid | source\_identified | Federico Rey | FEREY\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/FEDERICO\_REY | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:192:023365", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1272", "source_course_id": "023365", "source_subject_id": "192", "title": "Critical Analyses in Microbiology", "credits_min": 1, "credits_max": 1, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10604", "term_id": "1272", "source_section_id": "10604", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 20, "waitlisted": 3, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10605", "term_id": "1272", "source_section_id": "10605", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 20, "waitlisted": 3, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { 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"source": "madgrades", "source_instructor_id": "3343038", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PEI-YIN LIM", "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": 3.93, "graded": 43, "counts": [ 39, 3, 0, 1, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/PEI-YIN_LIM" }, { "instructor_uid": "instructor_76cf626f522dc074fb7f9853", "source": "madgrades", "source_instructor_id": "4897176", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK SCHRAMP", "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": 3.93, "graded": 43, "counts": [ 39, 3, 0, 1, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/MARK_SCHRAMP" }, { "instructor_uid": "instructor_9de2c2d4120cde80308b32eb", "source": 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"quality": 2.6, "difficulty": 4, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:1323048", "source_url": "https://www.ratemyprofessors.com/professor/1323048", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:21.077178+00:00", "courses": {}, "bayesian_quality": 3.447748626837276, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.23, "graded": 891, "counts": [ 256, 219, 269, 50, 68, 19, 10 ], "sections": 12 }, "instructor_url": "/instructors/ROBIN_FORBES-LORMAN--instructor_75850552ee9d088fdbf4189c" }, { "instructor_uid": "instructor_9709b156d7dafdf8803572b2", "source": "madgrades", "source_instructor_id": "3496208", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CLIFFORD HOGAN", "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": 3.984, "graded": 62, "counts": [ 60, 2, 0, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/CLIFFORD_HOGAN--instructor_9709b156d7dafdf8803572b2" }, { "instructor_uid": "instructor_dbb862a7f53c7ef9bb061915", "source": "madgrades", "source_instructor_id": "3493929", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KATHARYN AFFELDT", "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": 3.986, "graded": 109, "counts": [ 106, 3, 0, 0, 0, 0, 0 ], "sections": 8 }, "instructor_url": "/instructors/KATHARYN_AFFELDT--instructor_dbb862a7f53c7ef9bb061915" }, { "instructor_uid": "instructor_0723bd50b27305864ac50544", "source": "madgrades", "source_instructor_id": "461735", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DONG PARK", "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": 3.989, "graded": 47, "counts": [ 46, 1, 0, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/DONG_PARK" }, { "instructor_uid": "instructor_90779ef2da5c6e7fd6da90a9", "source": "madgrades", "source_instructor_id": "3225649", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEFFREY LORCH", "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": 3.989, "graded": 47, "counts": [ 46, 1, 0, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/JEFFREY_LORCH--instructor_90779ef2da5c6e7fd6da90a9" }, { "instructor_uid": "instructor_4059d8b2259e721e68b481c4", "source": "madgrades", "source_instructor_id": "5302603", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MEGAN BRANCH", "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", 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"grade_statistics": { "gpa": 3.907, "graded": 123, "counts": [ 111, 6, 4, 1, 0, 1, 0 ], "sections": 8 }, "instructor_url": "/instructors/BRADON_MCDONALD" }, { "instructor_uid": "instructor_d9ada59c52e84fda748d6671", "source": "madgrades", "source_instructor_id": "5302604", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SANG HWA KIM", "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": 3.872, "graded": 137, "counts": [ 120, 11, 4, 0, 0, 0, 2 ], "sections": 9 }, "instructor_url": "/instructors/SANG_HWA_KIM--instructor_d9ada59c52e84fda748d6671" }, { "instructor_uid": "instructor_1f8019fe8ea721de92954567", "source": "madgrades", "source_instructor_id": "3920981", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOMASHEKARAPPA GOWDA NANJAPPA", "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": 3.942, "graded": 60, "counts": [ 54, 5, 1, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/SOMASHEKARAPPA_GOWDA_NANJAPPA" }, { "instructor_uid": "instructor_23ea83f7f24ad2d491be22b2", "source": "madgrades", "source_instructor_id": "4541060", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KRISTEN MURFIN", "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": 3.942, "graded": 60, "counts": [ 54, 5, 1, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/KRISTEN_MURFIN" }, { "instructor_uid": "instructor_b5e389619c583d8a067db761", "source": "madgrades", "source_instructor_id": "4873645", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KAITLIN MITCHELL", "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": 3.942, "graded": 60, "counts": [ 54, 5, 1, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/KAITLIN_MITCHELL--instructor_b5e389619c583d8a067db761" }, { "instructor_uid": "instructor_24a624bf5f6deb6a9cf1d891", "source": "madgrades", "source_instructor_id": "4726262", "identity_basis": "source_id", "identity_status": "source_identified", "name": "THIAGO SANTOS", "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": 3.865, "graded": 78, "counts": [ 71, 1, 4, 0, 1, 0, 1 ], "sections": 5 }, "instructor_url": "/instructors/THIAGO_SANTOS" }, { "instructor_uid": "instructor_66f025d2181b308c1b2842ab", "source": "madgrades", "source_instructor_id": "4022039", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIFFANY LOWE-POWER", "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": 3.851, "graded": 77, "counts": [ 69, 1, 5, 0, 1, 0, 1 ], "sections": 5 }, "instructor_url": "/instructors/TIFFANY_LOWE-POWER--instructor_66f025d2181b308c1b2842ab" }, { "instructor_uid": "instructor_778cbdea55ca95765f3ec3be", "source": "madgrades", "source_instructor_id": "3988658", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREW MARKLEY", "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": 3.831, "graded": 62, "counts": [ 55, 1, 4, 0, 1, 0, 1 ], "sections": 4 }, "instructor_url": "/instructors/ANDREW_MARKLEY" }, { "instructor_uid": "instructor_a2cd0717de47c7e0e3f4d37f", "source": "madgrades", "source_instructor_id": "4299803", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MENGYI CAO", "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": 3.831, "graded": 62, "counts": [ 55, 1, 4, 0, 1, 0, 1 ], "sections": 4 }, "instructor_url": "/instructors/MENGYI_CAO--instructor_a2cd0717de47c7e0e3f4d37f" }, { "instructor_uid": "instructor_59a62e91082fd3c2a3337442", "source": "madgrades", "source_instructor_id": "3519307", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KIEL NIKOLAKAKIS", "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": 3.877, "graded": 61, "counts": [ 55, 2, 2, 1, 0, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/KIEL_NIKOLAKAKIS--instructor_59a62e91082fd3c2a3337442" }, { "instructor_uid": "instructor_a2cb5efc652dd814aa72c2c9", "source": "madgrades", "source_instructor_id": "4022816", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GINA LEWIN", "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": 3.877, "graded": 61, "counts": [ 55, 2, 2, 1, 0, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/GINA_LEWIN" }, { "instructor_uid": "instructor_1c7671383ef062a45241ae09", "source": "madgrades", "source_instructor_id": "4901381", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ADAM BAYLESS", "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": 3.967, "graded": 15, "counts": [ 14, 1, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ADAM_BAYLESS--instructor_1c7671383ef062a45241ae09" }, { "instructor_uid": "instructor_8d0667e42c4897486c13e0af", "source": "madgrades", "source_instructor_id": "4731124", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRISTOPHER HOOPER", "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": 4, "graded": 17, "counts": [ 17, 0, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/CHRISTOPHER_HOOPER--instructor_8d0667e42c4897486c13e0af" }, { "instructor_uid": "instructor_12bf8c87f82fe00f5f3d21f3", "source": "madgrades", "source_instructor_id": "4576686", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOSHUA HAMILTON", "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": 3.627, "graded": 51, "counts": [ 25, 18, 7, 0, 0, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/JOSHUA_HAMILTON" }, { "instructor_uid": "instructor_d5c93d66ad6c0541c2c9fde1", "source": "madgrades", "source_instructor_id": "4599491", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIA MUN CHAN", "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": 3.962, "graded": 13, "counts": [ 12, 1, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/JIA_MUN_CHAN--instructor_d5c93d66ad6c0541c2c9fde1" }, { "instructor_uid": "instructor_f9e2f0ed287f3e15d7c6f7b7", "source": "madgrades", "source_instructor_id": "4125018", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EUNJU PARK", "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": 3.964, "graded": 14, "counts": [ 13, 1, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/EUNJU_PARK--instructor_f9e2f0ed287f3e15d7c6f7b7" }, { "instructor_uid": "instructor_4b237b2efade25a9c4e62516", "source": "madgrades", "source_instructor_id": "4091968", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WILLIAM VINCENT", "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": 3.906, "graded": 16, "counts": [ 13, 3, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/WILLIAM_VINCENT" }, { "instructor_uid": "instructor_62b010465871caaaf2a84c44", "source": "madgrades", "source_instructor_id": "5846303", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NYDIARIS HERNANDEZ-SANTOS", "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": 3.844, "graded": 16, "counts": [ 14, 1, 0, 0, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/NYDIARIS_HERNANDEZ-SANTOS--instructor_62b010465871caaaf2a84c44" }, { "instructor_uid": "instructor_8ae46a2606b7c6de7c6c3dbb", "source": "madgrades", "source_instructor_id": "5127840", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ERIN NAWROCKI", "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": 3.824, "graded": 17, "counts": [ 15, 0, 1, 0, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ERIN_NAWROCKI--instructor_8ae46a2606b7c6de7c6c3dbb" }, { "instructor_uid": "instructor_e9f810dd1dacb425735c507a", "source": "madgrades", "source_instructor_id": "5010566", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PONLKRIT YEESIN", "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": 3.781, "graded": 16, "counts": [ 14, 1, 0, 0, 0, 1, 0 ], "sections": 1 }, "instructor_url": "/instructors/PONLKRIT_YEESIN--instructor_e9f810dd1dacb425735c507a" }, { "instructor_uid": "instructor_3738f1e1d661c7199d340888", "source": "madgrades", "source_instructor_id": "5277369", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FEDERICO REY", "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": 3.352, "graded": 921, "counts": [ 390, 141, 259, 44, 65, 17, 5 ], "sections": 87 }, "instructor_url": "/instructors/FEDERICO_REY--instructor_3738f1e1d661c7199d340888" }, { "instructor_uid": "instructor_d8f4dc679e3c2d2867ec657f", "source": "enrollment", "source_instructor_id": "ferey", "identity_basis": "netid", "identity_status": "source_identified", "name": "Federico Rey", "email": "FEREY@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/FEDERICO_REY" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Jae-Hyuk Yu", "Nancy Keller" ], "a": 54, "ab": 1, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 56, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "JEFFREY GARDNER", "Jae-Hyuk Yu", "MARK SCHRAMP", "PEI-YIN LIM" ], "a": 39, "ab": 3, "b": 0, "bc": 1, "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": 43, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "Jae-Hyuk Yu", "KATELYNN WOODHAMS", "PETER CAVNAR" ], "a": 46, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "Jae-Hyuk Yu", "KYRIAKI CHATZIKYRIAKIDOU", "MEGHAN RAMSEY", "PETER WILKER", "RYAN PETTY" ], "a": 57, "ab": 2, "b": 0, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "CLIFFORD HOGAN", "Jae-Hyuk Yu", "KATHARYN AFFELDT", "ROBIN FORBES-LORMAN", "ZIQI DAI" ], "a": 60, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "MICROBIO 305" ] }, { 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"unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Jae-Hyuk Yu", "KAITLIN MITCHELL", "KRISTEN MURFIN", "SOMASHEKARAPPA GOWDA NANJAPPA", "Sung Kim" ], "a": 54, "ab": 5, "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": 60, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "ANDREW MARKLEY", "Jae-Hyuk Yu", "MENGYI CAO", "THIAGO SANTOS", "TIFFANY LOWE-POWER" ], "a": 55, "ab": 1, "b": 4, "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": 62, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "BRADON MCDONALD", "GINA LEWIN", "Jae-Hyuk Yu", "KIEL NIKOLAKAKIS" ], "a": 55, "ab": 2, "b": 2, "bc": 1, "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": 61, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "ADAM BAYLESS", "CHRISTOPHER HOOPER", "Jae-Hyuk Yu", "Sung Kim", "TIFFANY LOWE-POWER" ], "a": 55, "ab": 3, "b": 2, "bc": 0, "c": 0, "d": 0, "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 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "EUNJU PARK", "JIA MUN CHAN", "JOSHUA HAMILTON", "Jae-Hyuk Yu", "THIAGO SANTOS" ], "a": 58, "ab": 3, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, 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15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Jae-Hyuk Yu" ], "a": 40, "ab": 2, "b": 0, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Jae-Hyuk Yu" ], "a": 47, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": 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0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Jae-Hyuk Yu" ], "a": 38, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Jae-Hyuk Yu" ], "a": 36, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, 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"ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Federico Rey", "Jae-Hyuk Yu" ], "a": 38, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 40, "source_aliases": [ "MICROBIO 305" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 305", "course_uid": "course_ef59a9cd54a49c2e62bbbbb9", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Federico Rey", "Jae-Hyuk Yu" ], "a": 30, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "MICROBIO 305" ] } ] ``` ### statistics #### gpa 3.934 #### graded 1499 #### counts * 1405 * 49 * 25 * 5 * 8 * 2 * 5 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_ef59a9cd54a49c2e62bbbbb9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_ef59a9cd54a49c2e62bbbbb9-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_ef59a9cd54a49c2e62bbbbb9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_ef59a9cd54a49c2e62bbbbb9-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_ef59a9cd54a49c2e62bbbbb9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_ef59a9cd54a49c2e62bbbbb9-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_ef59a9cd54a49c2e62bbbbb9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_ef59a9cd54a49c2e62bbbbb9-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.933955970647098 #### count 1499 #### university ##### size 5620 ##### gpa Percentile 81 ##### count Percentile 90 ##### median Count 216 ##### 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 | 9 | false | | 2.8–3.2 | 337 | false | | 3.2–3.6 | 1487 | false | | 3.6–4.0 | 3786 | true | #### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 32, "gpaPercentile": 87, "countPercentile": 81, "medianCount": 634, "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": 11, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` ### terms #### 1112 ##### term 1112 ##### gpa 3.9732142857142856 ##### count 56 ##### university ###### size 805 ###### gpa Percentile 96 ###### count Percentile 40 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 100, "countPercentile": 27, "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": false }, { "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": true } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.9302325581395348 ##### count 43 ##### university ###### size 804 ###### gpa Percentile 92 ###### count Percentile 24 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 100, "countPercentile": 11, "medianCount": 76.5, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 4 ##### count 46 ##### university ###### size 804 ###### gpa Percentile 97 ###### 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 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 100, "countPercentile": 10, "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": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.95 ##### count 60 ##### university ###### size 821 ###### gpa Percentile 93 ###### count Percentile 45 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 33, "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": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.9838709677419355 ##### count 62 ##### university ###### size 851 ###### gpa Percentile 96 ###### count Percentile 47 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 100, "countPercentile": 40, "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": false }, { "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": true } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.9893617021276597 ##### count 47 ##### university ###### size 852 ###### gpa Percentile 96 ###### 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 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | true | ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1142 ##### term 1142 ##### gpa 3.935483870967742 ##### count 62 ##### university ###### size 853 ###### gpa Percentile 93 ###### count Percentile 46 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 36, "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": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.941666666666667 ##### count 60 ##### university ###### size 878 ###### gpa Percentile 91 ###### count Percentile 46 ###### 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 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 100, "countPercentile": 22, "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": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.8306451612903225 ##### count 62 ##### university ###### size 918 ###### gpa Percentile 85 ###### count Percentile 46 ###### 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 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 50, "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": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.877049180327869 ##### count 61 ##### university ###### size 935 ###### gpa Percentile 86 ###### count Percentile 48 ###### 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 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 30, "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": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.814516129032258 ##### count 62 ##### university ###### size 954 ###### gpa Percentile 83 ###### count Percentile 48 ###### 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 | false | | 3.6–4.0 | 345 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 42, "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": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.9754098360655736 ##### count 61 ##### university ###### size 965 ###### gpa Percentile 93 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 30, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.8384615384615386 ##### count 65 ##### university ###### size 991 ###### gpa Percentile 83 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 46, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.9583333333333335 ##### count 48 ##### university ###### size 955 ###### gpa Percentile 92 ###### 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 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 100, "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": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.8688524590163933 ##### count 61 ##### university ###### size 1025 ###### gpa Percentile 86 ###### count Percentile 43 ###### 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": 91, "countPercentile": 45, "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 3.8076923076923075 ##### count 39 ##### university ###### size 1010 ###### gpa Percentile 79 ###### count Percentile 18 ###### 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 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 10, "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": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.9239130434782608 ##### count 46 ##### university ###### size 1077 ###### gpa Percentile 89 ###### count Percentile 29 ###### 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 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 33, "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": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.9302325581395348 ##### count 43 ##### university ###### size 1040 ###### gpa Percentile 89 ###### count Percentile 24 ###### 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": 83, "countPercentile": 33, "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 } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 4 ##### count 47 ##### university ###### size 1102 ###### gpa Percentile 96 ###### count Percentile 32 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 9, "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": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.9444444444444446 ##### count 45 ##### university ###### size 1012 ###### gpa Percentile 82 ###### count Percentile 29 ###### 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 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 18, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.9479166666666665 ##### count 48 ##### university ###### size 1111 ###### gpa Percentile 89 ###### count Percentile 32 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 9, "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": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.9361702127659575 ##### count 47 ##### university ###### size 1157 ###### gpa Percentile 89 ###### count Percentile 33 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 27, "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": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.9482758620689653 ##### count 29 ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1232 ##### term 1232 ##### gpa 3.967391304347826 ##### count 46 ##### university ###### size 1216 ###### gpa Percentile 91 ###### 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 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 36, "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": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.972972972972973 ##### count 37 ##### university ###### size 1188 ###### gpa Percentile 93 ###### count Percentile 15 ###### 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": 100, "countPercentile": 0, "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 } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 4 ##### count 38 ##### university ###### size 1295 ###### gpa Percentile 96 ###### count Percentile 19 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 0, "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": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.9864864864864864 ##### count 37 ##### university ###### size 1241 ###### gpa Percentile 94 ###### count Percentile 15 ###### 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": 92, "countPercentile": 0, "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 } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 4 ##### count 36 ##### university ###### size 1333 ###### gpa Percentile 96 ###### count Percentile 13 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 100, "countPercentile": 0, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 4 ##### count 35 ##### university ###### size 1289 ###### gpa Percentile 96 ###### count Percentile 11 ###### 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": 100, "countPercentile": 7, "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 } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.8875 ##### count 40 ##### university ###### size 1320 ###### gpa Percentile 77 ###### count Percentile 21 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 8, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 4 ##### count 30 ##### university ###### size 1283 ###### gpa Percentile 95 ###### count Percentile 0 ###### 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": 100, "countPercentile": 0, "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 5620 ###### gpa 3.6807269054885694 ###### top Share 83.09346819332158 ###### count 216 ##### MICROBIO ###### size 32 ###### gpa 3.6077604519445763 ###### top Share 76.7589102193035 ###### count 634 #### terms ##### 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 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MICROBIO ###### size 10 ###### gpa 3.25957881072911 ###### top Share 55.18098633540662 ###### count 76.5 ##### 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 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MICROBIO ###### size 10 ###### gpa 3.452099093386238 ###### top Share 64.91164386454953 ###### count 67 ##### 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 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### 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_7f321f2714cda178d6b72329", "name": "JAEHYUK YU", "count": 1499, "terms": [ { "term": "1112", "count": 56, "sections": 4, "gpa": 3.9732142857142856 }, { "term": "1114", "count": 43, "sections": 4, "gpa": 3.9302325581395348 }, { "term": "1122", "count": 46, "sections": 4, "gpa": 4 }, { "term": "1124", "count": 60, "sections": 4, "gpa": 3.95 }, { "term": "1132", "count": 62, "sections": 4, "gpa": 3.9838709677419355 }, { "term": "1134", "count": 47, "sections": 4, "gpa": 3.9893617021276597 }, { "term": "1142", "count": 62, "sections": 4, "gpa": 3.935483870967742 }, { "term": "1144", "count": 60, "sections": 4, "gpa": 3.941666666666667 }, { "term": "1152", "count": 62, "sections": 4, "gpa": 3.8306451612903225 }, { "term": "1154", "count": 61, "sections": 4, "gpa": 3.877049180327869 }, { "term": "1162", "count": 62, "sections": 4, "gpa": 3.814516129032258 }, { "term": "1164", "count": 61, "sections": 4, "gpa": 3.9754098360655736 }, { "term": "1172", "count": 65, "sections": 4, "gpa": 3.8384615384615386 }, { "term": "1174", "count": 48, "sections": 4, 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"sections": 2, "gpa": 4 }, { "term": "1254", "count": 35, "sections": 2, "gpa": 4 }, { "term": "1262", "count": 40, "sections": 2, "gpa": 3.8875 }, { "term": "1264", "count": 30, "sections": 2, "gpa": 4 } ] }, { "uid": "instructor_d9ada59c52e84fda748d6671", "name": "SANG HWA KIM", "count": 137, "terms": [ { "term": "1142", "count": 62, "sections": 4, "gpa": 3.935483870967742 }, { "term": "1144", "count": 60, "sections": 4, "gpa": 3.941666666666667 }, { "term": "1162", "count": 15, "sections": 1, "gpa": 3.3333333333333335 } ] }, { "uid": "instructor_81728c113aa5555624c9d15a", "name": "BRADON MCDONALD", "count": 123, "terms": [ { "term": "1142", "count": 62, "sections": 4, "gpa": 3.935483870967742 }, { "term": "1154", "count": 61, "sections": 4, "gpa": 3.877049180327869 } ] }, { "uid": "instructor_dbb862a7f53c7ef9bb061915", "name": "KATHARYN AFFELDT", "count": 109, "terms": [ { "term": "1132", "count": 62, "sections": 4, "gpa": 3.9838709677419355 }, { "term": "1134", "count": 47, "sections": 4, "gpa": 3.9893617021276597 } ] }, { "uid": "instructor_24a624bf5f6deb6a9cf1d891", "name": "THIAGO SANTOS", "count": 78, "terms": [ { "term": "1152", "count": 62, "sections": 4, "gpa": 3.8306451612903225 }, { "term": "1164", "count": 16, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_66f025d2181b308c1b2842ab", "name": "TIFFANY LOWE-POWER", "count": 77, "terms": [ { "term": "1152", "count": 62, "sections": 4, "gpa": 3.8306451612903225 }, { "term": "1162", "count": 15, "sections": 1, "gpa": 3.933333333333333 } ] }, { "uid": "instructor_011e3966c6b4be92d6579d8f", "name": "ZIQI DAI", "count": 62, "terms": [ { "term": "1132", "count": 62, "sections": 4, "gpa": 3.9838709677419355 } ] }, { "uid": "instructor_4059d8b2259e721e68b481c4", "name": "MEGAN BRANCH", "count": 62, "terms": [ { "term": "1142", "count": 62, "sections": 4, "gpa": 3.935483870967742 } ] }, { "uid": "instructor_5a99711b009d84f443c5d23c", "name": "VIRGINIA LAMB", "count": 62, "terms": [ { "term": "1142", 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"name": "GINA LEWIN", "count": 61, "terms": [ { "term": "1154", "count": 61, "sections": 4, "gpa": 3.877049180327869 } ] }, { "uid": "instructor_10d3f8d662c7e263285c9d5e", "name": "PETER WILKER", "count": 60, "terms": [ { "term": "1124", "count": 60, "sections": 4, "gpa": 3.95 } ] }, { "uid": "instructor_1f8019fe8ea721de92954567", "name": "SOMASHEKARAPPA GOWDA NANJAPPA", "count": 60, "terms": [ { "term": "1144", "count": 60, "sections": 4, "gpa": 3.941666666666667 } ] }, { "uid": "instructor_23ea83f7f24ad2d491be22b2", "name": "KRISTEN MURFIN", "count": 60, "terms": [ { "term": "1144", "count": 60, "sections": 4, "gpa": 3.941666666666667 } ] }, { "uid": "instructor_23f250a640ce3a16c8f272a8", "name": "KYRIAKI CHATZIKYRIAKIDOU", "count": 60, "terms": [ { "term": "1124", "count": 60, "sections": 4, "gpa": 3.95 } ] }, { "uid": "instructor_b5e389619c583d8a067db761", "name": "KAITLIN MITCHELL", "count": 60, "terms": [ { "term": "1144", "count": 60, "sections": 4, "gpa": 3.941666666666667 } ] }, { "uid": "instructor_be428cd94b4fcbf57380714d", "name": "MEGHAN RAMSEY", "count": 60, "terms": [ { "term": "1124", "count": 60, "sections": 4, "gpa": 3.95 } ] }, { "uid": "instructor_bf077bbead9322eab196d292", "name": "RYAN PETTY", "count": 60, "terms": [ { "term": "1124", "count": 60, "sections": 4, "gpa": 3.95 } ] }, { "uid": "instructor_9f008301309d33d273578974", "name": "NANCY KELLER", "count": 56, "terms": [ { "term": "1112", "count": 56, "sections": 4, "gpa": 3.9732142857142856 } ] }, { "uid": "instructor_3738f1e1d661c7199d340888", "name": "FEDERICO REY", "count": 49, "terms": [ { "term": "1262", "count": 19, "sections": 1, "gpa": 3.789473684210526 }, { "term": "1264", "count": 30, "sections": 2, "gpa": 4 } ] }, { "uid": "instructor_0723bd50b27305864ac50544", "name": "DONG PARK", "count": 47, "terms": [ { "term": "1134", "count": 47, "sections": 4, "gpa": 3.9893617021276597 } ] }, { "uid": "instructor_90779ef2da5c6e7fd6da90a9", "name": "JEFFREY LORCH", "count": 47, "terms": [ { "term": "1134", "count": 47, "sections": 4, "gpa": 3.9893617021276597 } ] }, { "uid": "instructor_9de2c2d4120cde80308b32eb", "name": "PETER CAVNAR", "count": 46, "terms": [ { "term": "1122", "count": 46, "sections": 4, "gpa": 4 } ] }, { "uid": "instructor_a838c85d6b71e01f1fdf59a1", "name": "KATELYNN WOODHAMS", "count": 46, "terms": [ { "term": "1122", "count": 46, "sections": 4, "gpa": 4 } ] }, { "uid": "instructor_14e1bad92e84eeed37109b3b", "name": "JEFFREY GARDNER", "count": 43, "terms": [ { "term": "1114", "count": 43, "sections": 4, "gpa": 3.9302325581395348 } ] }, { "uid": "instructor_1938680fd93a6f5150bfb218", "name": "PEI-YIN LIM", "count": 43, "terms": [ { "term": "1114", "count": 43, "sections": 4, "gpa": 3.9302325581395348 } ] }, { "uid": "instructor_76cf626f522dc074fb7f9853", "name": "MARK SCHRAMP", "count": 43, "terms": [ { "term": "1114", "count": 43, "sections": 4, "gpa": 3.9302325581395348 } ] }, { "uid": "instructor_12bf8c87f82fe00f5f3d21f3", "name": "JOSHUA HAMILTON", "count": 18, "terms": [ { "term": "1164", "count": 18, "sections": 1, "gpa": 3.9722222222222223 } ] }, { "uid": "instructor_8ae46a2606b7c6de7c6c3dbb", "name": "ERIN NAWROCKI", "count": 17, "terms": [ { "term": "1172", "count": 17, "sections": 1, "gpa": 3.823529411764706 } ] }, { "uid": "instructor_8d0667e42c4897486c13e0af", "name": "CHRISTOPHER HOOPER", "count": 17, "terms": [ { "term": "1162", "count": 17, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_4b237b2efade25a9c4e62516", "name": "WILLIAM VINCENT", "count": 16, "terms": [ { "term": "1172", "count": 16, "sections": 1, "gpa": 3.90625 } ] }, { "uid": "instructor_62b010465871caaaf2a84c44", "name": "NYDIARIS HERNANDEZ-SANTOS", "count": 16, "terms": [ { "term": "1172", "count": 16, "sections": 1, "gpa": 3.84375 } ] }, { "uid": "instructor_e9f810dd1dacb425735c507a", "name": "PONLKRIT YEESIN", "count": 16, "terms": [ { "term": "1172", "count": 16, "sections": 1, "gpa": 3.78125 } ] }, { "uid": "instructor_1c7671383ef062a45241ae09", "name": "ADAM BAYLESS", "count": 15, "terms": [ { "term": "1162", "count": 15, "sections": 1, "gpa": 3.966666666666667 } ] }, { "uid": "instructor_f9e2f0ed287f3e15d7c6f7b7", "name": "EUNJU PARK", "count": 14, "terms": [ { "term": "1164", "count": 14, "sections": 1, "gpa": 3.9642857142857144 } ] }, { "uid": "instructor_d5c93d66ad6c0541c2c9fde1", "name": "JIA MUN CHAN", "count": 13, "terms": [ { "term": "1164", "count": 13, "sections": 1, "gpa": 3.9615384615384617 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.82 #### upper 4 #### coverage 80 #### terms 8 ### gpa 3.953789762903088 ### grades | grade | percentage | | ----- | ------------------- | | A | 97.66301100616815 | | AB | 0.7436934792955734 | | B | 0.25924838222933355 | | BC | 0.3311052707820293 | | C | 0.25924838222933355 | | D | 0 | | F | 0.7436934792955734 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 207 ### same Season true ### historical Range * 3.8874999999999997 * 4 ### backtest #### terms 8 #### gpa Error 0.054539701676887375 #### mix Error 5.14678900691731