# MICROBIO 304: Biology of Microorganisms Laboratory | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MICROBIO_304) ## 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 97c7b93ba3171b00f1d1ff85ff26e13fa601833e103f9a205195d13f16cd1ec1 ### course id MICROBIO 304 ### course uid course\_799b6ea6c2cf692a040668e2 ### catalog version id 20fc98e1a141b45e1185b6aa24c0656b59460371303994450ec674a8ea700d2e ### course number 304 ### subjects * MICROBIO ### title BIOLOGY OF MICROORGANISMS LABORATORY ### description Introduction to modern laboratory techniques used to study the distribution and properties of microorganisms. ### requirements text MICROBIO 303or concurrent enrollment ### credits min 2 ### credits max 2 ### credit offering ids * 1272:192:001601 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id 49ec0ba4c7e1d819fa7cd4218ee853cad71d7900de4b218e64a165cd31d74024 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MICROBIO 304 introduces modern laboratory techniques for studying the distribution and properties of microorganisms. ### llm topics * Distribution and properties of microorganisms. ### llm skills * Modern laboratory techniques for studying microorganisms. ### llm assumed background * Fundamental concepts in microbiology including structure, physiology, genetics, and ecology of microorganisms. ### llm search phrases * microbiology laboratory techniques * microorganism distribution properties lab * MICROBIO 304 lab skills * biology of microorganisms laboratory ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash ed45cb9164df29e4f4aa52d2326c9b17e43d6f21dcf834d3f69ac11713ae1bc5 #### course id MICROBIO 304 #### current instructors ```json [ { "instructor_uid": "instructor_5b4e1a1c03c4b01df4b46654", "message": null, "name": "Betty Slinger", "review_status": "supported", "rmp_instructor_id": "rmp:2862734", "summary": [ { "citations": [ { "instructor_name": "Betty Slinger", "review_date": "2025-12-17 03:43:55 +0000 UTC", "review_id": "4ac1a7d142da592f85ac7be2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862734", "source_review_id": "UmF0aW5nLTQyMzAxNTYw", "source_url": "https://www.ratemyprofessors.com/professor/2862734", "type": "review" } ], "text": "Betty Slinger is approachable and ambitious, but her strict and sometimes confusing standards create challenges. Reviewers note that grading criteria are often unclear, with points deducted for issues not explicitly listed in the rubric." }, { "citations": [ { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.05 GPA, 33.8% A/AB (n=130 letter grades); Fall 2025: 3.26 GPA, 48.7% A/AB (n=156 letter grades); Spring 2026: 3.15 GPA, 38.8% A/AB (n=134 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_be712e0d8298ba3ba282a20f", "message": "No course-specific reviews available", "name": "Jonathan Cabezas Olcoz", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Exams are hard and require extensive knowledge of the material, and students must fight for good grades in labs due to unclear grading criteria. ```json { "citations": [ { "instructor_name": "Betty Slinger", "review_date": "2025-12-17 03:43:55 +0000 UTC", "review_id": "4ac1a7d142da592f85ac7be2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862734", "source_review_id": "UmF0aW5nLTQyMzAxNTYw", "source_url": "https://www.ratemyprofessors.com/professor/2862734", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviewer Melissa Christopherson received high praise for her helpfulness and accessibility, with one student describing her as the best professor they had ever encountered. This positive experience suggests strong instructor support for students in this course. ```json { "citations": [ { "instructor_name": "Melissa Christopherson", "review_date": "2021-12-21 20:14:20 +0000 UTC", "review_id": "1d82ab918cab46051bb9af14", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2182163", "source_review_id": "UmF0aW5nLTM1NjIyNjIw", "source_url": "https://www.ratemyprofessors.com/professor/2182163", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Dr. Slinger is approachable but has strict, confusing grading standards that make exams difficult and require extensive knowledge, while labs remain enjoyable. ```json { "citations": [ { "instructor_name": "Betty Slinger", "review_date": "2025-12-17 03:43:55 +0000 UTC", "review_id": "4ac1a7d142da592f85ac7be2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862734", "source_review_id": "UmF0aW5nLTQyMzAxNTYw", "source_url": "https://www.ratemyprofessors.com/professor/2862734", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.05 GPA, 33.8% A/AB (n=130 letter grades); Fall 2025: 3.26 GPA, 48.7% A/AB (n=156 letter grades); Spring 2026: 3.15 GPA, 38.8% A/AB (n=134 letter grades). ```json { "citations": [ { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Labs are often interesting and enjoyable, but the strict and sometimes confusing grading standards create frustration regarding point deductions not in the rubric. ```json { "citations": [ { "instructor_name": "Betty Slinger", "review_date": "2025-12-17 03:43:55 +0000 UTC", "review_id": "4ac1a7d142da592f85ac7be2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862734", "source_review_id": "UmF0aW5nLTQyMzAxNTYw", "source_url": "https://www.ratemyprofessors.com/professor/2862734", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history BETTY SLINGER is recorded teaching in Fall 2023, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MELISSA CHRISTOPHERSON is recorded teaching in Fall 2014, Spring 2015, Fall 2015, Fall 2017, Spring 2018, Fall 2018, Fall 2021, Spring 2022, Fall 2022, Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MICROBIO 304", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "source_record": { "entity_id": "0810dc81-809d-38a9-8990-c9bf0b6dd0be", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MICROBIO 303or concurrent enrollment", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "MICROBIO" ], "timing": "prior" }, "evidence": "MICROBIO 303", "id": "n1", "kind": "course" }, { "children": [], "condition": "concurrent enrollment", "course": null, "evidence": "concurrent enrollment", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_5b4e1a1c03c4b01df4b46654", "source": "enrollment", "source_instructor_id": "bslinger", "identity_basis": "netid", "identity_status": "source_identified", "name": "Betty Slinger", "email": "BSLINGER@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": 2, "quality": 4, "difficulty": 4, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2862734", "source_url": "https://www.ratemyprofessors.com/professor/2862734", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:50.431826+00:00", "courses": { "course_799b6ea6c2cf692a040668e2": { "review_count": 1, "quality": 3, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_33598f09781fa5dbdd045075": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.690623439587814, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BETTY_SLINGER" }, { "instructor_uid": "instructor_be712e0d8298ba3ba282a20f", "source": "enrollment", "source_instructor_id": "olcoz", "identity_basis": "netid", "identity_status": "source_identified", "name": "Jonathan Cabezas Olcoz", "email": "OLCOZ@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/JONATHAN_CABEZAS_OLCOZ" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:192:001601", "course_id": "MICROBIO 304", "course_uid": "course_799b6ea6c2cf692a040668e2", "term_id": "1272", "source_course_id": "001601", "source_subject_id": "192", "title": "Biology of Microorganisms Laboratory", "credits_min": 2, "credits_max": 2, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10013", "term_id": "1272", "source_section_id": "10013", "identity_basis": "class_number", "section_number": "001", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 38, "enrolled": 38, "waitlisted": 11, "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:1272:10014", "term_id": "1272", "source_section_id": "10014", "identity_basis": "class_number", "section_number": "002", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 38, "enrolled": 35, "waitlisted": 4, "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:1272:10015", "term_id": "1272", "source_section_id": "10015", "identity_basis": "class_number", "section_number": "003", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 38, "enrolled": 37, "waitlisted": 5, "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:1272:10408", "term_id": "1272", "source_section_id": "10408", "identity_basis": "class_number", "section_number": "004", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 38, "enrolled": 36, "waitlisted": 10, "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_333ec217336d6a19193f5da2", "source": "madgrades", "source_instructor_id": "807999", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN LINDQUIST", "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": 3, "quality": 3.33, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:1673256", "source_url": "https://www.ratemyprofessors.com/professor/1673256", "match_basis": "exact_name", "observed_at": "2026-09-07 16:31:22.798432+00:00", "courses": { "course_52774b2740fd40fe6fedc78b": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.6166832900405175, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.642, "graded": 2416, "counts": [ 1310, 638, 365, 61, 37, 5, 0 ], "sections": 69 }, "instructor_url": "/instructors/JOHN_LINDQUIST" }, { "instructor_uid": "instructor_e412adcd93a18f1d9d9b3bbd", "source": "madgrades", "source_instructor_id": "133526", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBIN KURTZ", "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": 40, "quality": 4.85, "difficulty": 2.83, "quality_count": 40, "difficulty_count": 40, "profile_id": "rmp:133417", "source_url": "https://www.ratemyprofessors.com/professor/133417", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:20.841008+00:00", "courses": { "course_b38eddf04e5d9b58f70c1241": { "review_count": 3, "quality": 4.67, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 }, "course_52774b2740fd40fe6fedc78b": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.453228594515532, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.275, "graded": 4448, "counts": [ 1469, 776, 1514, 276, 345, 52, 16 ], "sections": 120 }, "instructor_url": "/instructors/ROBIN_KURTZ--instructor_e412adcd93a18f1d9d9b3bbd" }, { "instructor_uid": "instructor_eb28750ac966a90d9d22d392", "source": "madgrades", "source_instructor_id": "446645", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIMOTHY PAUSTIAN", "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": 104, "quality": 3.12, "difficulty": 3.24, "quality_count": 104, "difficulty_count": 104, "profile_id": "rmp:1328421", "source_url": "https://www.ratemyprofessors.com/professor/1328421", "match_basis": "exact_name", "observed_at": "2026-09-07 16:01:39.342224+00:00", "courses": { "course_b5f639659cb8a96aad25c1b8": { "review_count": 9, "quality": 2, "difficulty": 3.44, "quality_count": 9, "difficulty_count": 9 }, "course_33598f09781fa5dbdd045075": { "review_count": 9, "quality": 3, "difficulty": 3.56, "quality_count": 9, "difficulty_count": 9 }, "course_b38eddf04e5d9b58f70c1241": { "review_count": 5, "quality": 3.6, "difficulty": 3.6, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.2070460941204186, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.262, "graded": 6983, "counts": [ 2360, 1364, 1862, 777, 463, 112, 45 ], "sections": 114 }, "instructor_url": "/instructors/TIMOTHY_PAUSTIAN--instructor_eb28750ac966a90d9d22d392" }, { "instructor_uid": "instructor_f425fa73b8b0ddcd363a9e5c", "source": "madgrades", "source_instructor_id": "573481", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JON ROLL", "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": 34, "quality": 3.29, "difficulty": 3.18, "quality_count": 34, "difficulty_count": 34, "profile_id": "rmp:133421", "source_url": "https://www.ratemyprofessors.com/professor/133421", "match_basis": "exact_name", "observed_at": "2026-09-07 16:30:48.277587+00:00", "courses": { "course_52774b2740fd40fe6fedc78b": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_b38eddf04e5d9b58f70c1241": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.4269206605728133, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.26, "graded": 3921, "counts": [ 1258, 619, 1439, 309, 221, 53, 22 ], "sections": 150 }, "instructor_url": "/instructors/JON_ROLL--instructor_f425fa73b8b0ddcd363a9e5c" }, { "instructor_uid": "instructor_0e31f9476a72a4bd29f615b6", "source": "madgrades", "source_instructor_id": "3710380", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MELISSA CHRISTOPHERSON", "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": 38, "quality": 3.55, "difficulty": 3.21, "quality_count": 38, "difficulty_count": 38, "profile_id": "rmp:2182163", "source_url": "https://www.ratemyprofessors.com/professor/2182163", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:56.955995+00:00", "courses": { "course_b38eddf04e5d9b58f70c1241": { "review_count": 13, "quality": 3.85, "difficulty": 3.38, "quality_count": 13, "difficulty_count": 13 }, "course_799b6ea6c2cf692a040668e2": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.5878226839815848, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.297, "graded": 3911, "counts": [ 1423, 706, 1157, 217, 332, 54, 22 ], "sections": 87 }, "instructor_url": "/instructors/MELISSA_CHRISTOPHERSON--instructor_0e31f9476a72a4bd29f615b6" }, { "instructor_uid": "instructor_319b52a79c6a362a0fa97f39", "source": "madgrades", "source_instructor_id": "322889", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHELLE RONDON", "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": 101, "quality": 3.69, "difficulty": 3.11, "quality_count": 101, "difficulty_count": 101, "profile_id": "rmp:830381", "source_url": "https://www.ratemyprofessors.com/professor/830381", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:07.664059+00:00", "courses": { "course_33598f09781fa5dbdd045075": { "review_count": 19, "quality": 3.79, "difficulty": 2.95, "quality_count": 19, "difficulty_count": 19 }, "course_52774b2740fd40fe6fedc78b": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_b38eddf04e5d9b58f70c1241": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.684989385710181, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.063, "graded": 10523, "counts": [ 2889, 1485, 3219, 1007, 1443, 415, 65 ], "sections": 102 }, "instructor_url": "/instructors/MICHELLE_RONDON--instructor_319b52a79c6a362a0fa97f39" }, { "instructor_uid": "instructor_7f015f01c720e9f9dfa3306d", "source": "madgrades", "source_instructor_id": "4570301", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BETTY SLINGER", "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": 2, "quality": 4, "difficulty": 4, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2862734", "source_url": "https://www.ratemyprofessors.com/professor/2862734", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:50.431826+00:00", "courses": { "course_799b6ea6c2cf692a040668e2": { "review_count": 1, "quality": 3, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_33598f09781fa5dbdd045075": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.690623439587814, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.279, "graded": 1936, "counts": [ 655, 423, 519, 159, 131, 32, 17 ], "sections": 28 }, "instructor_url": "/instructors/BETTY_SLINGER--instructor_7f015f01c720e9f9dfa3306d" }, { "instructor_uid": "instructor_10d0f3f0d88de8eb4a477f11", "source": "madgrades", "source_instructor_id": "5036354", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JONATHAN CABEZAS-OLCOZ", "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": 3.157, "graded": 181, "counts": [ 41, 28, 89, 7, 11, 3, 2 ], "sections": 6 }, "instructor_url": "/instructors/JONATHAN_CABEZAS-OLCOZ" }, { "instructor_uid": "instructor_5b4e1a1c03c4b01df4b46654", "source": "enrollment", "source_instructor_id": "bslinger", "identity_basis": "netid", "identity_status": "source_identified", "name": "Betty Slinger", "email": "BSLINGER@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": 2, "quality": 4, "difficulty": 4, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2862734", "source_url": "https://www.ratemyprofessors.com/professor/2862734", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:50.431826+00:00", "courses": { "course_799b6ea6c2cf692a040668e2": { "review_count": 1, "quality": 3, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_33598f09781fa5dbdd045075": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.690623439587814, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BETTY_SLINGER" }, { "instructor_uid": "instructor_be712e0d8298ba3ba282a20f", "source": "enrollment", "source_instructor_id": "olcoz", "identity_basis": "netid", "identity_status": "source_identified", "name": "Jonathan Cabezas Olcoz", "email": "OLCOZ@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/JONATHAN_CABEZAS_OLCOZ" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 304", "course_uid": "course_799b6ea6c2cf692a040668e2", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "JOHN LINDQUIST", "ROBIN KURTZ", "Timothy Paustian" ], "a": 43, "ab": 30, "b": 45, "bc": 13, "c": 7, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 139, "source_aliases": [ "MICROBIO 304" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 304", "course_uid": "course_799b6ea6c2cf692a040668e2", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "JOHN LINDQUIST", "ROBIN KURTZ", "Timothy Paustian" ], "a": 39, "ab": 37, "b": 54, "bc": 5, "c": 3, "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": 140, "source_aliases": [ "MICROBIO 304" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 304", "course_uid": "course_799b6ea6c2cf692a040668e2", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "JOHN LINDQUIST", "ROBIN KURTZ" ], "a": 56, "ab": 25, "b": 61, "bc": 3, "c": 8, "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": 154, "source_aliases": [ "MICROBIO 304" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 304", "course_uid": "course_799b6ea6c2cf692a040668e2", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "ROBIN KURTZ", "Timothy Paustian" ], "a": 21, "ab": 36, "b": 63, "bc": 18, "c": 12, "d": 1, "f": 0, "satisfactory": 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"course_id": "MICROBIO 304", "course_uid": "course_799b6ea6c2cf692a040668e2", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Betty Slinger", "JONATHAN CABEZAS-OLCOZ" ], "a": 30, "ab": 22, "b": 64, "bc": 5, "c": 9, "d": 3, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 134, "source_aliases": [ "MICROBIO 304" ] } ] ``` ### statistics #### gpa 3.236 #### graded 5672 #### counts * 1600 * 948 * 2274 * 432 * 347 * 43 * 28 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_799b6ea6c2cf692a040668e2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_799b6ea6c2cf692a040668e2-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_799b6ea6c2cf692a040668e2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_799b6ea6c2cf692a040668e2-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_799b6ea6c2cf692a040668e2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_799b6ea6c2cf692a040668e2-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_799b6ea6c2cf692a040668e2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_799b6ea6c2cf692a040668e2-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_799b6ea6c2cf692a040668e2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_799b6ea6c2cf692a040668e2-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.2364245416078985 #### count 5672 #### university ##### size 5784 ##### gpa Percentile 8 ##### count Percentile 98 ##### median Count 240.5 ##### 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 | 12 | false | | 2.8–3.2 | 363 | false | | 3.2–3.6 | 1576 | true | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 32, "gpaPercentile": 16, "countPercentile": 94, "medianCount": 773, "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 3.322463768115942 ##### count 138 ##### university ###### size 723 ###### gpa Percentile 46 ###### count Percentile 77 ###### 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 | | #### 1074 ##### term 1074 ##### gpa 3.3285714285714287 ##### count 140 ##### university ###### size 695 ###### gpa Percentile 48 ###### count Percentile 79 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1082 ##### term 1082 ##### gpa 3.3701298701298703 ##### count 154 ##### university ###### size 723 ###### gpa Percentile 52 ###### count Percentile 80 ###### 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 3.1059602649006623 ##### count 151 ##### university ###### size 720 ###### gpa Percentile 26 ###### count Percentile 81 ###### 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 | 45 | false | | 2.8–3.2 | 207 | true | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1092 ##### term 1092 ##### gpa 3.1338028169014085 ##### count 142 ##### university ###### size 732 ###### gpa Percentile 27 ###### count Percentile 77 ###### 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": 30, "countPercentile": 80, "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 } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.1266233766233764 ##### count 154 ##### university ###### size 758 ###### gpa Percentile 27 ###### count Percentile 82 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | false | ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1102 ##### term 1102 ##### gpa 3.1447368421052633 ##### count 152 ##### university ###### size 774 ###### gpa Percentile 28 ###### count Percentile 81 ###### 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": 40, "countPercentile": 80, "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 } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.110344827586207 ##### count 145 ##### university ###### size 793 ###### gpa Percentile 26 ###### count Percentile 82 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 44, "countPercentile": 78, "medianCount": 85.5, "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": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.2320261437908497 ##### count 153 ##### university ###### size 805 ###### gpa Percentile 36 ###### count Percentile 82 ###### 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 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 64, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.1107142857142858 ##### count 140 ##### university ###### size 804 ###### gpa Percentile 27 ###### count Percentile 81 ###### 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 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 56, "countPercentile": 67, "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": true }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.1153846153846154 ##### count 156 ##### university ###### size 804 ###### gpa Percentile 26 ###### count Percentile 83 ###### 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": 40, "countPercentile": 80, "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 } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.1476510067114094 ##### count 149 ##### university ###### size 821 ###### gpa Percentile 28 ###### count Percentile 83 ###### 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 | true | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 33, "countPercentile": 67, "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": 4, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.1666666666666665 ##### count 156 ##### university ###### size 851 ###### gpa Percentile 29 ###### count Percentile 84 ###### 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 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 50, "countPercentile": 80, "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": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.4155844155844157 ##### count 154 ##### university ###### size 852 ###### gpa Percentile 50 ###### count Percentile 85 ###### 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 | true | | 3.6–4.0 | 287 | false | ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1142 ##### term 1142 ##### gpa 3.3006535947712417 ##### count 153 ##### university ###### size 853 ###### gpa Percentile 41 ###### count Percentile 83 ###### 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 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.0876623376623376 ##### count 154 ##### university ###### size 878 ###### gpa Percentile 21 ###### count Percentile 84 ###### 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": 33, "countPercentile": 67, "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 3.1243523316062176 ##### count 193 ##### university ###### size 918 ###### gpa Percentile 22 ###### count Percentile 89 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 33, "countPercentile": 83, "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": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.2335526315789473 ##### count 152 ##### university ###### size 935 ###### gpa Percentile 32 ###### count Percentile 86 ###### 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 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 50, "countPercentile": 80, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.3270440251572326 ##### count 159 ##### university ###### size 954 ###### gpa Percentile 38 ###### count Percentile 84 ###### 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": 58, "countPercentile": 83, "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 3.2533333333333334 ##### count 150 ##### university ###### size 965 ###### gpa Percentile 30 ###### count Percentile 83 ###### 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": 50, "countPercentile": 70, "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 3.3344155844155843 ##### count 154 ##### university ###### size 991 ###### gpa Percentile 37 ###### count Percentile 83 ###### 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": 54, "countPercentile": 85, "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 3.2092198581560285 ##### count 141 ##### university ###### size 955 ###### gpa Percentile 27 ###### count Percentile 81 ###### 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 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 10, "gpaPercentile": 44, "countPercentile": 67, "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": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.3451612903225807 ##### count 155 ##### university ###### size 1025 ###### gpa Percentile 36 ###### count Percentile 83 ###### 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 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 64, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.338129496402878 ##### count 139 ##### university ###### size 1010 ###### gpa Percentile 34 ###### count Percentile 79 ###### 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 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 40, "countPercentile": 70, "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": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.370629370629371 ##### count 143 ##### university ###### size 1077 ###### gpa Percentile 36 ###### count Percentile 80 ###### 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": 58, "countPercentile": 75, "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 3.232876712328767 ##### count 146 ##### university ###### size 1040 ###### gpa Percentile 26 ###### count Percentile 82 ###### 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": 58, "countPercentile": 83, "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 3.2627737226277373 ##### count 137 ##### university ###### size 1102 ###### gpa Percentile 26 ###### count Percentile 78 ###### 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": 36, "countPercentile": 82, "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 3.48728813559322 ##### count 118 ##### university ###### size 1012 ###### gpa Percentile 18 ###### count Percentile 76 ###### 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": 36, "countPercentile": 82, "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 3.102189781021898 ##### count 137 ##### university ###### size 1111 ###### gpa Percentile 9 ###### count Percentile 77 ###### 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 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 0, "countPercentile": 73, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.3049645390070923 ##### count 141 ##### university ###### size 1157 ###### gpa Percentile 22 ###### count Percentile 79 ###### 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": 27, "countPercentile": 82, "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 3.2737226277372264 ##### count 137 ##### university ###### size 1171 ###### gpa Percentile 21 ###### count Percentile 81 ###### 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": 38, "countPercentile": 85, "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 3.1828358208955225 ##### count 134 ##### university ###### size 1216 ###### gpa Percentile 14 ###### count Percentile 77 ###### 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": 27, "countPercentile": 82, "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 3.205357142857143 ##### count 112 ##### university ###### size 1188 ###### gpa Percentile 14 ###### count Percentile 73 ###### 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": 15, "countPercentile": 62, "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 3.393617021276596 ##### count 141 ##### university ###### size 1295 ###### gpa Percentile 26 ###### count Percentile 79 ###### 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 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 55, "countPercentile": 64, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.19140625 ##### count 128 ##### university ###### size 1241 ###### gpa Percentile 13 ###### count Percentile 78 ###### 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 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 17, "countPercentile": 67, "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": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.4131944444444446 ##### count 144 ##### university ###### size 1333 ###### gpa Percentile 23 ###### count Percentile 79 ###### 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": 55, "countPercentile": 73, "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 3.0538461538461537 ##### count 130 ##### university ###### size 1289 ###### gpa Percentile 6 ###### count Percentile 79 ###### 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 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 16, "gpaPercentile": 0, "countPercentile": 67, "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": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.2564102564102564 ##### count 156 ##### university ###### size 1320 ###### gpa Percentile 14 ###### count Percentile 81 ###### 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": 33, "countPercentile": 83, "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 3.1529850746268657 ##### count 134 ##### university ###### size 1283 ###### gpa Percentile 10 ###### count Percentile 78 ###### 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": 33, "countPercentile": 60, "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 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### MICROBIO ###### size 32 ###### gpa 3.611329062181913 ###### top Share 76.93886042658607 ###### count 773 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 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 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 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 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MICROBIO ###### size 10 ###### gpa 3.3600179779877486 ###### top Share 62.54098703090584 ###### count 85.5 ##### 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_e412adcd93a18f1d9d9b3bbd", "name": "ROBIN KURTZ", "count": 1417, "terms": [ { "term": "1072", "count": 34, "sections": 1, "gpa": 3.1176470588235294 }, { "term": "1074", "count": 36, "sections": 1, "gpa": 3.375 }, { "term": "1082", "count": 116, "sections": 3, "gpa": 3.3879310344827585 }, { "term": "1084", "count": 33, "sections": 1, "gpa": 3.1818181818181817 }, { "term": "1094", "count": 154, "sections": 4, "gpa": 3.1266233766233764 }, { "term": "1112", "count": 114, "sections": 3, "gpa": 3.258771929824561 }, { "term": "1114", "count": 37, "sections": 1, "gpa": 2.9324324324324325 }, { "term": "1124", "count": 149, "sections": 4, "gpa": 3.1476510067114094 }, { "term": "1142", "count": 118, "sections": 3, "gpa": 3.3008474576271185 }, { "term": "1144", "count": 39, "sections": 1, "gpa": 3.0641025641025643 }, { "term": "1154", "count": 152, "sections": 4, "gpa": 3.2335526315789473 }, { "term": "1172", "count": 117, "sections": 3, "gpa": 3.3162393162393164 }, { "term": "1192", "count": 35, "sections": 1, "gpa": 3.3714285714285714 }, { "term": "1194", "count": 146, "sections": 4, "gpa": 3.232876712328767 }, { "term": "1224", "count": 137, "sections": 4, "gpa": 3.2737226277372264 } ] }, { "uid": "instructor_f425fa73b8b0ddcd363a9e5c", "name": "JON ROLL", "count": 1405, "terms": [ { "term": "1092", "count": 110, "sections": 3, "gpa": 3.172727272727273 }, { "term": "1104", "count": 34, "sections": 1, "gpa": 3.161764705882353 }, { "term": "1114", "count": 103, "sections": 3, "gpa": 3.174757281553398 }, { "term": "1122", "count": 156, "sections": 4, "gpa": 3.1153846153846154 }, { "term": "1144", "count": 154, "sections": 4, "gpa": 3.0876623376623376 }, { "term": "1164", "count": 150, "sections": 4, "gpa": 3.2533333333333334 }, { "term": "1172", "count": 37, "sections": 1, "gpa": 3.391891891891892 }, { "term": "1174", "count": 141, "sections": 4, "gpa": 3.2092198581560285 }, { "term": "1202", "count": 137, "sections": 4, "gpa": 3.2627737226277373 }, { "term": "1212", "count": 137, "sections": 4, "gpa": 3.102189781021898 }, { "term": "1232", "count": 134, "sections": 4, "gpa": 3.1828358208955225 }, { "term": "1234", "count": 112, "sections": 4, "gpa": 3.205357142857143 } ] }, { "uid": "instructor_eb28750ac966a90d9d22d392", "name": "TIMOTHY PAUSTIAN", "count": 1069, "terms": [ { "term": "1072", "count": 70, "sections": 2, "gpa": 3.4 }, { "term": "1074", "count": 71, "sections": 2, "gpa": 3.295774647887324 }, { "term": "1084", "count": 118, "sections": 3, 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CHRISTOPHERSON", "count": 1023, "terms": [ { "term": "1152", "count": 193, "sections": 5, "gpa": 3.1243523316062176 }, { "term": "1154", "count": 78, "sections": 2, "gpa": 3.2115384615384617 }, { "term": "1162", "count": 159, "sections": 4, "gpa": 3.3270440251572326 }, { "term": "1182", "count": 39, "sections": 1, "gpa": 3.3205128205128207 }, { "term": "1184", "count": 139, "sections": 4, "gpa": 3.338129496402878 }, { "term": "1192", "count": 143, "sections": 4, "gpa": 3.370629370629371 }, { "term": "1222", "count": 141, "sections": 4, "gpa": 3.3049645390070923 }, { "term": "1224", "count": 28, "sections": 1, "gpa": 3.4107142857142856 }, { "term": "1232", "count": 67, "sections": 2, "gpa": 3.156716417910448 }, { "term": "1252", "count": 36, "sections": 1, "gpa": 3.3194444444444446 } ] }, { "uid": "instructor_7f015f01c720e9f9dfa3306d", "name": "BETTY SLINGER", "count": 600, "terms": [ { "term": "1242", "count": 36, "sections": 1, "gpa": 3.361111111111111 }, { "term": "1252", "count": 144, "sections": 4, "gpa": 3.4131944444444446 }, { "term": "1254", "count": 130, "sections": 4, "gpa": 3.0538461538461537 }, { "term": "1262", "count": 156, "sections": 4, "gpa": 3.2564102564102564 }, { "term": "1264", "count": 134, "sections": 4, "gpa": 3.1529850746268657 } ] }, { "uid": "instructor_319b52a79c6a362a0fa97f39", "name": "MICHELLE RONDON", "count": 450, "terms": [ { "term": "1194", "count": 31, "sections": 1, "gpa": 3.161290322580645 }, { "term": "1202", "count": 32, "sections": 1, "gpa": 3.296875 }, { "term": "1204", "count": 118, "sections": 4, "gpa": 3.48728813559322 }, { "term": "1242", "count": 141, "sections": 4, "gpa": 3.393617021276596 }, { "term": "1244", "count": 128, "sections": 4, "gpa": 3.19140625 } ] }, { "uid": "instructor_333ec217336d6a19193f5da2", "name": "JOHN LINDQUIST", "count": 401, "terms": [ { "term": "1072", "count": 34, "sections": 1, "gpa": 3.3676470588235294 }, { "term": "1074", "count": 33, "sections": 1, "gpa": 3.3484848484848486 }, { "term": "1082", "count": 38, "sections": 1, "gpa": 3.3157894736842106 }, { "term": "1092", "count": 32, "sections": 1, "gpa": 3 }, { "term": "1102", "count": 38, "sections": 1, "gpa": 3.039473684210526 }, { "term": "1104", "count": 38, "sections": 1, "gpa": 3.026315789473684 }, { "term": "1112", "count": 39, "sections": 1, "gpa": 3.1538461538461537 }, { "term": "1122", "count": 39, "sections": 1, "gpa": 2.948717948717949 }, { "term": "1132", "count": 39, "sections": 1, "gpa": 3.1025641025641026 }, { "term": "1134", "count": 36, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1142", "count": 35, "sections": 1, "gpa": 3.3 } ] }, { "uid": "instructor_10d0f3f0d88de8eb4a477f11", "name": "JONATHAN CABEZAS-OLCOZ", "count": 172, "terms": [ { "term": "1262", "count": 38, "sections": 1, "gpa": 3.1184210526315788 }, { "term": "1264", "count": 134, "sections": 4, "gpa": 3.1529850746268657 } ] } ] ``` ## following | code | title | | -------------------- | ---------------------------------------------- | | FOODSCI/MICROBIO 324 | FOOD MICROBIOLOGY LABORATORY | | MICROBIO 527 | ADVANCED LABORATORY TECHNIQUES IN MICROBIOLOGY | ## projection ### target 1272 ### interval #### lower 3.09 #### upper 3.54 #### coverage 80 #### terms 8 ### gpa 3.314554414879416 ### grades | grade | percentage | | ----- | ------------------ | | A | 35.28932568455628 | | AB | 15.987628370392612 | | B | 36.730794160436076 | | BC | 5.417048987766194 | | C | 4.915975667265447 | | D | 0.7744831680877197 | | F | 0.88474396149566 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 716 ### same Season true ### historical Range * 3.182835820895522 * 3.4131944444444446 ### backtest #### terms 8 #### gpa Error 0.10514995722133863 #### mix Error 9.542579805916443