# BIOCHEM/GENETICS/MICROBIO 612: Prokaryotic Molecular Biology | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BIOCHEM_GENETICS_MICROBIO_612) ## 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 661cba6d83160d61c094e0053fcd8663ed242a536f0378022a2a0b4ef2518a89 ### course id BIOCHEM/GENETICS/MICROBIO 612 ### course uid course\_1aaf0838987829917366ec0d ### catalog version id ab3c144d3c0f73f9edf74f48396de324e2776e7f3cd3505319f58caf61712dc7 ### course number 612 ### subjects * BIOCHEM * GENETICS * MICROBIO ### title PROKARYOTIC MOLECULAR BIOLOGY ### description Molecular basis of bacterial physiology and genetics with emphasis on molecular mechanisms; topics include nucleic acid-protein interactions, transcription, translation, replication, recombination, regulation of gene expression. ### requirements text (BIOCHEM 501or507) and (MICROBIO 470,GENETICS 466or468) or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:192:008149 * 1272:200:008149 * 1272:412:008149 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 311767abdf6c12f9178dad31ecc3fd5f5b67e5135456f7cf45dfba2316b25ad1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers the molecular basis of bacterial physiology and genetics, focusing on mechanisms like transcription, translation, and gene regulation. ### llm topics * Nucleic acid-protein interactions * Transcription, translation, replication, and recombination * Regulation of gene expression ### llm skills * Understanding molecular mechanisms of bacterial physiology * Analyzing nucleic acid-protein interactions and gene expression regulation ### llm assumed background * Foundational biochemistry and metabolism * General and molecular genetics principles * Microbial genetics and molecular processes ### llm search phrases * prokaryotic molecular biology * bacterial physiology genetics * nucleic acid protein interactions * transcription translation replication * gene expression regulation ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash a942e2d9d55e901e21c9dd6e2295f55a56fb8f21a70f6ad1ef9b5b0c6cc560e8 #### course id BIOCHEM/GENETICS/MICROBIO 612 #### current instructors ```json [ { "instructor_uid": "instructor_bf2d4cdb76e6115625932fd3", "message": "No course-specific reviews available", "name": "Briana Burton", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2204133", "summary": [ { "citations": [ { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.49 GPA, 57.9% A/AB (n=57 letter grades); Fall 2024: 3.68 GPA, 87.8% A/AB (n=49 letter grades); Fall 2025: 3.38 GPA, 64.8% A/AB (n=54 letter grades)." } ] } ] ``` #### difficulty workload Historical reviews of Katrina Forest: Exams are open book but very hard, forcing students to understand material inside out and problem-solve on the fly. ```json { "citations": [ { "instructor_name": "Katrina Forest", "review_date": "2013-12-17 15:05:34 +0000 UTC", "review_id": "db54132b7c1393ac3b9efcc1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1071948", "source_review_id": "UmF0aW5nLTIyNTg3Nzc2", "source_url": "https://www.ratemyprofessors.com/professor/1071948", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Katrina Forest describe her as passionate, though her open-book exams are difficult and require deep problem-solving skills. Students warn that the course can be overwhelming without a strong background in prokaryotic systems. ```json { "citations": [ { "instructor_name": "Katrina Forest", "review_date": "2013-12-17 15:05:34 +0000 UTC", "review_id": "db54132b7c1393ac3b9efcc1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1071948", "source_review_id": "UmF0aW5nLTIyNTg3Nzc2", "source_url": "https://www.ratemyprofessors.com/professor/1071948", "type": "review" } ] } ``` #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews describe Dr. Forest's course as good but demanding, requiring strong problem-solving skills and a solid background in prokaryotic systems to avoid feeling overwhelmed by difficult open-book exams. ```json { "citations": [ { "instructor_name": "Katrina Forest", "review_date": "2013-12-17 15:05:34 +0000 UTC", "review_id": "db54132b7c1393ac3b9efcc1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1071948", "source_review_id": "UmF0aW5nLTIyNTg3Nzc2", "source_url": "https://www.ratemyprofessors.com/professor/1071948", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.49 GPA, 57.9% A/AB (n=57 letter grades); Fall 2024: 3.68 GPA, 87.8% A/AB (n=49 letter grades); Fall 2025: 3.38 GPA, 64.8% A/AB (n=54 letter grades). ```json { "citations": [ { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Katrina Forest: The class is considered good, but students without a great background in prokaryotic systems may find the content overwhelming. ```json { "citations": [ { "instructor_name": "Katrina Forest", "review_date": "2013-12-17 15:05:34 +0000 UTC", "review_id": "db54132b7c1393ac3b9efcc1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1071948", "source_review_id": "UmF0aW5nLTIyNTg3Nzc2", "source_url": "https://www.ratemyprofessors.com/professor/1071948", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history BRIANA BURTON is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` KATRINA FOREST is recorded teaching in Fall 2012, Fall 2013, Fall 2014. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7050f083-da66-326b-90b3-0e1afac304d2", "source_record": { "entity_id": "7050f083-da66-326b-90b3-0e1afac304d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "(BIOCHEM 501or507) and (MICROBIO 470,GENETICS 466or468) or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "(BIOCHEM 501or507) and (MICROBIO 470,GENETICS 466or468)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "(BIOCHEM 501or507)", "id": "n3", "kind": "any" }, { "children": [ "n7", "n8" ], "condition": null, "course": null, "evidence": "(MICROBIO 470,GENETICS 466or468)", "id": "n4", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 501, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "BIOCHEM 501", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 507, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "507", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 470, "minimum_grade": null, "subjects": [ "MICROBIO" ], "timing": "prior" }, "evidence": "MICROBIO 470", "id": "n7", "kind": "course" }, { "children": [ "n10", "n11" ], "condition": null, "course": null, "evidence": "GENETICS 466or468", "id": "n8", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 466, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "GENETICS 466", "id": "n10", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 468, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "468", "id": "n11", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_bf2d4cdb76e6115625932fd3", "source": "enrollment", "source_instructor_id": "burton6", "identity_basis": "netid", "identity_status": "source_identified", "name": "Briana Burton", "email": "BRIANA.BURTON@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": 6, "quality": 3.5, "difficulty": 3.83, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:2204133", "source_url": "https://www.ratemyprofessors.com/professor/2204133", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:02.741843+00:00", "courses": { "course_50097f4cc0aabc7da8a401b4": { "review_count": 3, "quality": 2.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.622835218112766, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BRIANA_BURTON" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:192:008149", "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "course_uid": "course_1aaf0838987829917366ec0d", "term_id": "1272", "source_course_id": "008149", "source_subject_id": "192", "title": "Prokaryotic Molecular Biology", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:200:008149", "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "course_uid": "course_1aaf0838987829917366ec0d", "term_id": "1272", "source_course_id": "008149", "source_subject_id": "200", "title": "Prokaryotic Molecular Biology", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:412:008149", "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "course_uid": "course_1aaf0838987829917366ec0d", "term_id": "1272", "source_course_id": "008149", "source_subject_id": "412", "title": "Prokaryotic Molecular Biology", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10017", "term_id": "1272", "source_section_id": "10017", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 80, "enrolled": 8, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10175", "term_id": "1272", "source_section_id": "10175", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 80, "enrolled": 7, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10040", "term_id": "1272", "source_section_id": "10040", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 80, "enrolled": 7, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_3563f585bed2facc7f3c5f09", "source": "madgrades", "source_instructor_id": "2600077", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RICHARD GOURSE", "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": 3.354, "graded": 666, "counts": [ 232, 158, 199, 26, 41, 9, 1 ], "sections": 118 }, "instructor_url": "/instructors/RICHARD_GOURSE--instructor_3563f585bed2facc7f3c5f09" }, { "instructor_uid": "instructor_7218c2f130054c986fae99aa", "source": "madgrades", "source_instructor_id": "2601103", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBERT LANDICK", "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": 3.576, "graded": 344, "counts": [ 190, 64, 65, 10, 11, 4, 0 ], "sections": 191 }, "instructor_url": "/instructors/ROBERT_LANDICK--instructor_7218c2f130054c986fae99aa" }, { "instructor_uid": "instructor_cb252cbdcd76e22822e0e688", "source": "madgrades", "source_instructor_id": "3467286", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAMES KECK", "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": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:1174610", "source_url": "https://www.ratemyprofessors.com/professor/1174610", "match_basis": "exact_name", "observed_at": "2026-09-07 16:34:43.488328+00:00", "courses": {}, "bayesian_quality": 3.675891222425329, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.458, "graded": 264, "counts": [ 113, 61, 66, 11, 9, 4, 0 ], "sections": 109 }, "instructor_url": "/instructors/JAMES_KECK--instructor_cb252cbdcd76e22822e0e688" }, { "instructor_uid": "instructor_a90b40c2e7d1a76fbffb1cee", "source": "madgrades", "source_instructor_id": "450057", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KATRINA FOREST", "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": 9, "quality": 3.56, "difficulty": 4.44, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:1071948", "source_url": "https://www.ratemyprofessors.com/professor/1071948", "match_basis": "exact_name", "observed_at": "2026-09-07 16:26:44.141956+00:00", "courses": { "course_33598f09781fa5dbdd045075": { "review_count": 3, "quality": 2.33, "difficulty": 5, "quality_count": 3, "difficulty_count": 3 }, "course_50097f4cc0aabc7da8a401b4": { "review_count": 1, "quality": 3, "difficulty": 5, 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"/instructors/JUE_WANG--instructor_1727ee1d7d2183fd387d1224" }, { "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": 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"difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.622835218112766, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.335, "graded": 1473, "counts": [ 620, 281, 286, 132, 114, 33, 7 ], "sections": 65 }, "instructor_url": "/instructors/BRIANA_BURTON--instructor_967b485fb93dfbf3a28f763a" }, { "instructor_uid": "instructor_bf2d4cdb76e6115625932fd3", "source": "enrollment", "source_instructor_id": "burton6", "identity_basis": "netid", "identity_status": "source_identified", "name": "Briana Burton", "email": "BRIANA.BURTON@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": 6, "quality": 3.5, "difficulty": 3.83, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:2204133", "source_url": "https://www.ratemyprofessors.com/professor/2204133", "match_basis": "exact_name", "observed_at": "2026-09-07 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[ "BIOCHEM/GENETICS/MICROBIO 612" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "course_uid": "course_1aaf0838987829917366ec0d", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Betty Slinger" ], "a": 10, "ab": 8, "b": 11, "bc": 1, "c": 1, "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": 32, "source_aliases": [ "BIOCHEM/GENETICS/MICROBIO 612" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "course_uid": "course_1aaf0838987829917366ec0d", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Briana Burton" ], "a": 29, "ab": 7, "b": 5, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "BIOCHEM/GENETICS/MICROBIO 612" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "course_uid": "course_1aaf0838987829917366ec0d", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Briana Burton" ], "a": 25, "ab": 8, "b": 22, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "BIOCHEM/GENETICS/MICROBIO 612" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "course_uid": "course_1aaf0838987829917366ec0d", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Briana Burton" ], "a": 30, "ab": 13, "b": 4, "bc": 0, "c": 1, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 50, "source_aliases": [ "BIOCHEM/GENETICS/MICROBIO 612" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/GENETICS/MICROBIO 612", "course_uid": "course_1aaf0838987829917366ec0d", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Briana Burton" ], "a": 16, "ab": 19, "b": 15, "bc": 2, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 54, "source_aliases": [ "BIOCHEM/GENETICS/MICROBIO 612" ] } ] ``` ### statistics #### gpa 3.401 #### graded 900 #### counts * 342 * 213 * 256 * 32 * 44 * 11 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_1aaf0838987829917366ec0d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_1aaf0838987829917366ec0d-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_1aaf0838987829917366ec0d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_1aaf0838987829917366ec0d-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_1aaf0838987829917366ec0d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_1aaf0838987829917366ec0d-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_1aaf0838987829917366ec0d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_1aaf0838987829917366ec0d-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_1aaf0838987829917366ec0d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_1aaf0838987829917366ec0d-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4005555555555556 #### count 900 #### university ##### size 4146 ##### gpa Percentile 19 ##### count Percentile 84 ##### median Count 193 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 10 | false | | 2.8–3.2 | 326 | false | | 3.2–3.6 | 1185 | true | | 3.6–4.0 | 2625 | false | #### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 31, "gpaPercentile": 17, "countPercentile": 83, "medianCount": 233, "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": 23, "current": false } ] } }, { "subject": "GENETICS", "comparison": { "size": 27, "gpaPercentile": 12, "countPercentile": 77, "medianCount": 201, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 19, "current": false } ] } }, { "subject": "MICROBIO", "comparison": { "size": 21, "gpaPercentile": 50, "countPercentile": 65, "medianCount": 733, "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": 9, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.3870967741935485 ##### count 31 ##### university ###### size 723 ###### gpa Percentile 55 ###### count Percentile 3 ###### 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 | | -------- | ---------- | | BIOCHEM | | | GENETICS | | | MICROBIO | | #### 1082 ##### term 1082 ##### gpa 3.4838709677419355 ##### count 31 ##### university ###### size 723 ###### gpa Percentile 63 ###### count Percentile 4 ###### 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 | | -------- | ---------- | | BIOCHEM | | | GENETICS | | | MICROBIO | | #### 1092 ##### term 1092 ##### gpa 3.3660714285714284 ##### count 56 ##### university ###### size 732 ###### gpa Percentile 50 ###### count Percentile 39 ###### 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 | false | | 3.2–3.6 | 271 | true | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 50, "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": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.357142857142857 ##### count 49 ##### university ###### size 774 ###### gpa Percentile 50 ###### count Percentile 34 ###### 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 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 30, "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": false }, { "range": "3.2–3.6", "count": 1, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.2982456140350878 ##### count 57 ##### university ###### size 805 ###### gpa Percentile 42 ###### count Percentile 41 ###### 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": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 36, "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 } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.265957446808511 ##### count 47 ##### university ###### size 804 ###### gpa Percentile 40 ###### count Percentile 30 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | true | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 20, "medianCount": 61, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.2222222222222223 ##### count 54 ##### university ###### size 851 ###### gpa Percentile 35 ###### count Percentile 41 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 30, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 2, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.488095238095238 ##### count 42 ##### university ###### size 853 ###### gpa Percentile 60 ###### count Percentile 24 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 9, "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 } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.1707317073170733 ##### count 41 ##### university ###### size 918 ###### gpa Percentile 26 ###### count Percentile 22 ###### 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": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 42, "countPercentile": 17, "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 } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.370967741935484 ##### count 31 ##### university ###### size 954 ###### gpa Percentile 43 ###### count Percentile 3 ###### 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": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 0, "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 } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.1744186046511627 ##### count 43 ##### university ###### size 991 ###### gpa Percentile 23 ###### count Percentile 26 ###### 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 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 14, "gpaPercentile": 38, "countPercentile": 8, "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": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.4423076923076925 ##### count 26 ##### departments | subject | comparison | | -------- | ---------- | | BIOCHEM | | | GENETICS | | | MICROBIO | | #### 1192 ##### term 1192 ##### gpa 3.371794871794872 ##### count 39 ##### university ###### size 1077 ###### gpa Percentile 36 ###### count Percentile 19 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 67, "countPercentile": 25, "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 } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.5 ##### count 54 ##### university ###### size 1102 ###### gpa Percentile 45 ###### count Percentile 38 ###### 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": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 64, "medianCount": 48.5, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "GENETICS", "comparison": { "size": 10, "gpaPercentile": 44, "countPercentile": 33, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 27, "medianCount": 60, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 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 } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.4615384615384617 ##### count 65 ##### university ###### size 1111 ###### gpa Percentile 32 ###### count Percentile 47 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "GENETICS", "comparison": { "size": 10, "gpaPercentile": 33, "countPercentile": 56, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 45, "medianCount": 65, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.328125 ##### count 32 ##### university ###### size 1157 ###### gpa Percentile 24 ###### count Percentile 6 ###### 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": "BIOCHEM", "comparison": { "size": 10, "gpaPercentile": 11, "countPercentile": 0, "medianCount": 42, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "GENETICS", "comparison": { "size": 12, "gpaPercentile": 18, "countPercentile": 0, "medianCount": 43.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 0, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.761904761904762 ##### count 42 ##### university ###### size 1216 ###### gpa Percentile 64 ###### count Percentile 25 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 10, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "GENETICS", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 82, "countPercentile": 18, "medianCount": 51, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.491228070175439 ##### count 57 ##### university ###### size 1295 ###### gpa Percentile 33 ###### count Percentile 43 ###### 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": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 36, "medianCount": 58, "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": 3, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "GENETICS", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 55, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 64, "countPercentile": 55, "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 } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.683673469387755 ##### count 49 ##### university ###### size 1333 ###### gpa Percentile 50 ###### count Percentile 34 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 36, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "GENETICS", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 45, "medianCount": 52.5, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 9, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.3796296296296298 ##### count 54 ##### university ###### size 1320 ###### gpa Percentile 21 ###### count Percentile 36 ###### 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": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 18, "countPercentile": 36, "medianCount": 71, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "GENETICS", "comparison": { "size": 13, "gpaPercentile": 25, "countPercentile": 58, "medianCount": 53, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 58, "countPercentile": 42, "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 } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4146 ###### gpa 3.655576857310451 ###### top Share 81.61127984016484 ###### count 193 ##### BIOCHEM ###### size 31 ###### gpa 3.7661206304702133 ###### top Share 86.46252519938835 ###### count 233 ##### GENETICS ###### size 27 ###### gpa 3.6777183126984423 ###### top Share 82.02352509738994 ###### count 201 ##### MICROBIO ###### size 21 ###### gpa 3.520136716676587 ###### top Share 70.02960201700391 ###### count 733 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MICROBIO ###### size 11 ###### gpa 3.3450786852393324 ###### top Share 58.1139852764356 ###### count 56 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MICROBIO ###### size 11 ###### gpa 3.2023951221587406 ###### top Share 49.35451810735929 ###### count 55 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MICROBIO ###### size 12 ###### gpa 3.218843570163392 ###### top Share 53.87327470690813 ###### count 60 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MICROBIO ###### size 11 ###### gpa 3.23093276238275 ###### top Share 52.876509049183575 ###### count 61 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MICROBIO ###### size 11 ###### gpa 3.164706350372514 ###### top Share 48.95415755675061 ###### count 68 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MICROBIO ###### size 12 ###### gpa 3.3733693439770835 ###### top Share 60.393709391234275 ###### count 79 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### BIOCHEM ###### size 12 ###### gpa 3.582952026836674 ###### top Share 77.19863197400903 ###### count 48.5 ###### GENETICS ###### size 10 ###### gpa 3.451827575944905 ###### top Share 68.57560463766207 ###### count 55 ###### MICROBIO ###### size 12 ###### gpa 3.3863294677657625 ###### top Share 58.912850542574226 ###### count 60 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### GENETICS ###### size 10 ###### gpa 3.5728472785775116 ###### top Share 76.39656652328354 ###### count 64.5 ###### 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 ###### BIOCHEM ###### size 10 ###### gpa 3.6367450609953003 ###### top Share 78.97568431769517 ###### count 42 ###### GENETICS ###### size 12 ###### gpa 3.5487219422313245 ###### top Share 75.54325666174324 ###### count 43.5 ###### MICROBIO ###### size 12 ###### gpa 3.4031789352662347 ###### top Share 61.43186245060833 ###### count 55 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### BIOCHEM ###### size 11 ###### gpa 3.671478762379705 ###### top Share 81.92612859448451 ###### count 60 ###### MICROBIO ###### size 12 ###### gpa 3.4208813383253847 ###### top Share 62.20982706405716 ###### count 51 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### BIOCHEM ###### size 12 ###### gpa 3.6432722011844727 ###### top Share 79.87295423322789 ###### count 58 ###### GENETICS ###### size 12 ###### gpa 3.5884554184793362 ###### top Share 77.27523156397659 ###### count 55.5 ###### MICROBIO ###### size 12 ###### gpa 3.3844851592825442 ###### top Share 60.35002960217381 ###### count 54 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### BIOCHEM ###### size 12 ###### gpa 3.658033526191829 ###### top Share 82.48831240522861 ###### count 80 ###### GENETICS ###### size 12 ###### gpa 3.630871422034851 ###### top Share 79.70819282550313 ###### count 52.5 ###### MICROBIO ###### size 12 ###### gpa 3.487467221017038 ###### top Share 65.92107506231086 ###### count 63 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### BIOCHEM ###### size 12 ###### gpa 3.660956390377283 ###### top Share 81.32285535254972 ###### count 71 ###### GENETICS ###### size 13 ###### gpa 3.698788127912363 ###### top Share 83.51083061370407 ###### count 53 ###### MICROBIO ###### size 13 ###### gpa 3.4650783207340434 ###### top Share 67.77710359326059 ###### count 57 ## instructor Trends ```json [ { "uid": "instructor_3563f585bed2facc7f3c5f09", "name": "RICHARD GOURSE", "count": 666, "terms": [ { "term": "1072", "count": 31, "sections": 1, "gpa": 3.3870967741935485 }, { "term": "1082", "count": 31, "sections": 1, "gpa": 3.4838709677419355 }, { "term": "1092", "count": 56, "sections": 1, "gpa": 3.3660714285714284 }, { "term": "1102", "count": 49, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1112", "count": 57, "sections": 1, "gpa": 3.2982456140350878 }, { "term": "1122", "count": 47, "sections": 1, "gpa": 3.265957446808511 }, { "term": "1132", "count": 54, "sections": 1, "gpa": 3.2222222222222223 }, { "term": "1142", "count": 42, "sections": 1, "gpa": 3.488095238095238 }, { "term": "1152", "count": 41, "sections": 1, "gpa": 3.1707317073170733 }, { "term": "1162", "count": 31, "sections": 1, "gpa": 3.370967741935484 }, { "term": "1172", "count": 43, "sections": 1, "gpa": 3.1744186046511627 }, { "term": "1182", "count": 26, "sections": 1, "gpa": 3.4423076923076925 }, { "term": "1192", "count": 39, "sections": 1, "gpa": 3.371794871794872 }, { "term": "1202", "count": 54, "sections": 1, "gpa": 3.5 }, { "term": "1212", "count": 65, "sections": 1, "gpa": 3.4615384615384617 } ] }, { "uid": "instructor_7218c2f130054c986fae99aa", "name": "ROBERT LANDICK", "count": 224, "terms": [ { "term": "1082", "count": 31, "sections": 1, "gpa": 3.4838709677419355 }, { "term": "1092", "count": 56, "sections": 1, "gpa": 3.3660714285714284 }, { "term": "1102", "count": 49, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1112", "count": 57, "sections": 1, "gpa": 3.2982456140350878 }, { "term": "1162", "count": 31, "sections": 1, "gpa": 3.370967741935484 } ] }, { "uid": "instructor_967b485fb93dfbf3a28f763a", "name": "BRIANA BURTON", "count": 202, "terms": [ { "term": "1232", "count": 42, "sections": 1, "gpa": 3.761904761904762 }, { "term": "1242", "count": 57, "sections": 1, "gpa": 3.491228070175439 }, { "term": "1252", "count": 49, "sections": 1, "gpa": 3.683673469387755 }, { "term": "1262", "count": 54, "sections": 1, "gpa": 3.3796296296296298 } ] }, { "uid": "instructor_cb252cbdcd76e22822e0e688", "name": "JAMES KECK", "count": 193, "terms": [ { "term": "1082", "count": 31, "sections": 1, "gpa": 3.4838709677419355 }, { "term": "1092", "count": 56, "sections": 1, "gpa": 3.3660714285714284 }, { "term": "1102", "count": 49, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1112", "count": 57, "sections": 1, "gpa": 3.2982456140350878 } ] }, { "uid": "instructor_a90b40c2e7d1a76fbffb1cee", "name": "KATRINA FOREST", "count": 137, "terms": [ { "term": "1132", "count": 54, "sections": 1, "gpa": 3.2222222222222223 }, { "term": "1142", "count": 42, "sections": 1, "gpa": 3.488095238095238 }, { "term": "1152", "count": 41, "sections": 1, "gpa": 3.1707317073170733 } ] }, { "uid": "instructor_7f015f01c720e9f9dfa3306d", "name": "BETTY SLINGER", "count": 32, "terms": [ { "term": "1222", "count": 32, "sections": 1, "gpa": 3.328125 } ] }, { "uid": "instructor_1727ee1d7d2183fd387d1224", "name": "JUE WANG", "count": 31, "terms": [ { "term": "1162", "count": 31, "sections": 1, "gpa": 3.370967741935484 } ] } ] ``` ## following | code | title | | --------------------- | --------------------------------- | | BMOLCHEM/MICROBIO 668 | MICROBIOLOGY AT ATOMIC RESOLUTION | ## projection ### target 1272 ### interval #### lower 3.32 #### upper 3.73 #### coverage 80 #### terms 8 ### gpa 3.525181344641645 ### grades | grade | percentage | | ----- | ------------------ | | A | 46.058953432098335 | | AB | 25.037322838763615 | | B | 23.555861049464166 | | BC | 2.513197690932604 | | C | 1.4173324943706394 | | D | 0.8664484356331775 | | F | 0.5508840587374618 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 234 ### same Season true ### historical Range * 3.328125 * 3.7619047619047614 ### backtest #### terms 8 #### gpa Error 0.13029047378605346 #### mix Error 16.27322709198966