# BIOCHEM 100: Biochemistry First-year Seminar | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BIOCHEM_100) ## 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 326de66f8786acff16182844625d9374c525834dadee22064cd394f8972955f0 ### course id BIOCHEM 100 ### course uid course\_efe02c42716591dd16a8fc03 ### catalog version id 9fac3fc086b5e83793b57b5758f47f003696613caf1f42db638c11a5d67b23d8 ### course number 100 ### subjects * BIOCHEM ### title BIOCHEMISTRY FIRST-YEAR SEMINAR ### description Introduction to the discipline of biochemistry, to the UW Biochemistry Department, to some of the research projects the faculty are pursuing, to the University, and to the career options open to an individual with a biochemistry background. ### requirements text None ### credits min 1 ### credits max 1 ### credit offering ids * 1272:200:024045 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 8f25d0610644d020c488a92c8938bc8fc12e392414a9632e35e78619823de141 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary BIOCHEM 100 introduces students to the biochemistry discipline, department, faculty research, university resources, and career paths. ### llm topics * Biochemistry discipline * Faculty research projects * Career options in biochemistry ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * biochemistry first-year seminar * intro to biochemistry UW * biochemistry career options * biochemistry faculty research ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash a4f8c85c74b4eab80f584dc45e9ac14cd837df2684f562da50bcefe92e63aba9 #### course id BIOCHEM 100 #### current instructors ```json [ { "instructor_uid": "instructor_fee5610ddf9e3cbea5fa06a2", "message": "No course-specific reviews available", "name": "Danielle Widner", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.93 GPA, 97.5% A/AB (n=118 letter grades); Spring 2026: 3.91 GPA, 95.5% A/AB (n=44 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_6d33f8a35e146186cab64e48", "message": "No course-specific reviews available", "name": "ERICA Shu", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3158441", "summary": [ { "citations": [ { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 102, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 103, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.97 GPA, 98.3% A/AB (n=118 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=26 letter grades); Fall 2025: 3.93 GPA, 97.5% A/AB (n=118 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_0539b758cbe711a88e0b8584", "message": "No course-specific reviews available", "name": "Mario Pennella", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2304717", "summary": [ { "citations": [ { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=18 letter grades); Fall 2025: 3.93 GPA, 97.5% A/AB (n=118 letter grades); Spring 2026: 3.91 GPA, 95.5% A/AB (n=44 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=44 letter grades); Fall 2025: 3.93 GPA, 97.5% A/AB (n=118 letter grades); Spring 2026: 3.91 GPA, 95.5% A/AB (n=44 letter grades). ```json { "citations": [ { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history DANIELLE WIDNER is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` ERICA SHU is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 102, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 102, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 102, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 103, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` MARIO PENNELLA is recorded teaching in Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 102, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 102, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 101, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 102, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 103, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "BIOCHEM 100", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "source_record": { "entity_id": "89a0692c-0bcc-3daf-87f8-392de0219489", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_fee5610ddf9e3cbea5fa06a2", "source": "enrollment", "source_instructor_id": "dwidner", "identity_basis": "netid", "identity_status": "source_identified", "name": "Danielle Widner", "email": "DWIDNER@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/DANIELLE_WIDNER" }, { "instructor_uid": "instructor_6d33f8a35e146186cab64e48", "source": "enrollment", "source_instructor_id": "xshu32", "identity_basis": "netid", "identity_status": "source_identified", "name": "ERICA Shu", "email": "XSHU32@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/ERICA_SHU" }, { "instructor_uid": "instructor_0539b758cbe711a88e0b8584", "source": "enrollment", "source_instructor_id": "mpennella", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mario Pennella", "email": "MPENNELLA@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": 30, "quality": 3.73, "difficulty": 3.43, "quality_count": 30, "difficulty_count": 30, "profile_id": "rmp:2304717", "source_url": "https://www.ratemyprofessors.com/professor/2304717", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:49.151813+00:00", "courses": { "course_82b02a0645c630ce73cc6253": { "review_count": 27, "quality": 3.67, "difficulty": 3.48, "quality_count": 27, "difficulty_count": 27 }, "course_d05294a8b47a4fb823115de2": { "review_count": 1, "quality": 3, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7018743134186383, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MARIO_PENNELLA" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:200:024045", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1272", "source_course_id": "024045", "source_subject_id": "200", "title": "Biochemistry First-Year Seminar", "credits_min": 1, "credits_max": 1, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:19324", "term_id": "1272", "source_section_id": "19324", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 30, "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:1272:26232", "term_id": "1272", "source_section_id": "26232", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 30, "waitlisted": 2, "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:1272:29230", "term_id": "1272", "source_section_id": "29230", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 29, "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_9804a0e9baa8bbe90c4400eb", "source": "madgrades", "source_instructor_id": "3196657", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LYNNE PROST", "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": 12, "quality": 4.5, "difficulty": 2.75, "quality_count": 12, "difficulty_count": 12, "profile_id": "rmp:1929740", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "match_basis": "exact_name", "observed_at": "2026-09-07 16:22:22.395798+00:00", "courses": { "course_378f2210954f5e9404bcb8cb": { "review_count": 4, "quality": 3.75, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.974803614716622, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.644, "graded": 1236, "counts": [ 745, 271, 129, 49, 27, 12, 3 ], "sections": 36 }, "instructor_url": "/instructors/LYNNE_PROST--instructor_9804a0e9baa8bbe90c4400eb" }, { "instructor_uid": "instructor_a5a9e0dfc4ae3e6a7172ae2a", "source": "madgrades", "source_instructor_id": "4959983", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LISA LENERTZ-LINDEMER", "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": 25, "quality": 2.88, "difficulty": 3.84, "quality_count": 25, "difficulty_count": 25, "profile_id": "rmp:1888947", "source_url": "https://www.ratemyprofessors.com/professor/1888947", "match_basis": "exact_name", "observed_at": "2026-09-07 16:23:00.000723+00:00", "courses": { "course_82b02a0645c630ce73cc6253": { "review_count": 21, "quality": 2.76, "difficulty": 3.81, "quality_count": 21, "difficulty_count": 21 } }, "bayesian_quality": 3.226527014909598, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.091, "graded": 4607, "counts": [ 1478, 601, 1094, 434, 877, 105, 18 ], "sections": 20 }, "instructor_url": "/instructors/LISA_LENERTZ-LINDEMER--instructor_a5a9e0dfc4ae3e6a7172ae2a" }, { "instructor_uid": "instructor_bfa736d22dd6682cdfe6d4f2", "source": "madgrades", "source_instructor_id": "2600550", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RICHARD AMASINO", "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": 14, "quality": 3.64, "difficulty": 3.14, "quality_count": 14, "difficulty_count": 14, "profile_id": "rmp:2259097", "source_url": "https://www.ratemyprofessors.com/professor/2259097", "match_basis": "exact_name", "observed_at": "2026-09-07 16:10:05.813942+00:00", "courses": { "course_82b02a0645c630ce73cc6253": { "review_count": 14, "quality": 3.64, "difficulty": 3.14, "quality_count": 14, "difficulty_count": 14 } }, "bayesian_quality": 3.651579872674468, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.364, "graded": 24297, "counts": [ 11645, 3122, 4733, 1671, 2754, 338, 34 ], "sections": 205 }, "instructor_url": "/instructors/RICHARD_AMASINO--instructor_bfa736d22dd6682cdfe6d4f2" }, { "instructor_uid": "instructor_441f4f7ba9d28c1c54877443", "source": "madgrades", "source_instructor_id": "6041694", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARIO PENNELLA", "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": 30, "quality": 3.73, "difficulty": 3.43, "quality_count": 30, "difficulty_count": 30, "profile_id": "rmp:2304717", "source_url": "https://www.ratemyprofessors.com/professor/2304717", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:49.151813+00:00", "courses": { "course_82b02a0645c630ce73cc6253": { "review_count": 27, "quality": 3.67, "difficulty": 3.48, "quality_count": 27, "difficulty_count": 27 }, "course_d05294a8b47a4fb823115de2": { "review_count": 1, "quality": 3, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7018743134186383, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.543, "graded": 15112, "counts": [ 9191, 1873, 1979, 726, 1143, 182, 18 ], "sections": 82 }, "instructor_url": "/instructors/MARIO_PENNELLA--instructor_441f4f7ba9d28c1c54877443" }, { "instructor_uid": "instructor_0511d5252e857cf0cd569f67", "source": "madgrades", "source_instructor_id": "6402067", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ERICA SHU", "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": 3.764, "graded": 1887, "counts": [ 1366, 312, 116, 50, 33, 8, 2 ], "sections": 44 }, "instructor_url": "/instructors/ERICA_SHU--instructor_0511d5252e857cf0cd569f67" }, { "instructor_uid": "instructor_6219009ad5c1eae45709718b", "source": "madgrades", "source_instructor_id": "6301191", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARJOLIJN NAGELKERKE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.865, "graded": 37, "counts": [ 34, 2, 0, 0, 0, 0, 1 ], "sections": 2 }, "instructor_url": "/instructors/MARJOLIJN_NAGELKERKE" }, { "instructor_uid": "instructor_1a56a0b47a5e0e6fdf5edbb6", "source": "madgrades", "source_instructor_id": "5006082", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RICHELLE KASTEN", "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": 3.97, "graded": 118, "counts": [ 113, 3, 2, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/RICHELLE_KASTEN" }, { "instructor_uid": "instructor_51355f32b7767069f8577842", "source": "madgrades", "source_instructor_id": "5363177", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHYANNA BRICKSON", "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": 3.928, "graded": 118, "counts": [ 111, 4, 1, 1, 0, 0, 1 ], "sections": 4 }, "instructor_url": "/instructors/SHYANNA_BRICKSON--instructor_51355f32b7767069f8577842" }, { "instructor_uid": "instructor_9814f906b3dcd351ac5ccadc", "source": "madgrades", "source_instructor_id": "4838432", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANIELLE WIDNER", "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": 3.763, "graded": 1674, "counts": [ 1297, 145, 125, 50, 49, 6, 2 ], "sections": 11 }, "instructor_url": "/instructors/DANIELLE_WIDNER--instructor_9814f906b3dcd351ac5ccadc" }, { "instructor_uid": "instructor_0539b758cbe711a88e0b8584", "source": "enrollment", "source_instructor_id": "mpennella", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mario Pennella", "email": "MPENNELLA@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": 30, "quality": 3.73, "difficulty": 3.43, "quality_count": 30, "difficulty_count": 30, "profile_id": "rmp:2304717", "source_url": "https://www.ratemyprofessors.com/professor/2304717", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:49.151813+00:00", "courses": { "course_82b02a0645c630ce73cc6253": { "review_count": 27, "quality": 3.67, "difficulty": 3.48, "quality_count": 27, "difficulty_count": 27 }, "course_d05294a8b47a4fb823115de2": { "review_count": 1, "quality": 3, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7018743134186383, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MARIO_PENNELLA" }, { "instructor_uid": "instructor_6d33f8a35e146186cab64e48", "source": "enrollment", "source_instructor_id": "xshu32", "identity_basis": "netid", "identity_status": "source_identified", "name": "ERICA Shu", "email": "XSHU32@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/ERICA_SHU" }, { "instructor_uid": "instructor_fee5610ddf9e3cbea5fa06a2", "source": "enrollment", "source_instructor_id": "dwidner", "identity_basis": "netid", "identity_status": "source_identified", "name": "Danielle Widner", "email": "DWIDNER@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/DANIELLE_WIDNER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "LISA LENERTZ-LINDEMER", "LYNNE PROST", "Richard Amasino" ], "a": 30, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "LISA LENERTZ-LINDEMER", "LYNNE PROST", "Richard Amasino" ], "a": 29, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "LISA LENERTZ-LINDEMER", "LYNNE PROST" ], "a": 29, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "LISA LENERTZ-LINDEMER", "LYNNE PROST" ], "a": 28, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "LISA LENERTZ-LINDEMER", "LYNNE PROST" ], "a": 30, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "LISA LENERTZ-LINDEMER", "LYNNE PROST" ], "a": 21, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "LYNNE PROST", "Mario Pennella" ], "a": 20, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 20, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "LYNNE PROST", "Mario Pennella" ], "a": 28, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "LYNNE PROST", "Mario Pennella" ], "a": 24, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", 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"20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "LYNNE PROST", "Mario Pennella" ], "a": 27, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "ERICA Shu", "MARJOLIJN NAGELKERKE", "Mario Pennella" ], "a": 26, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "ERICA Shu", "Mario Pennella" ], "a": 30, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ERICA Shu", "Mario Pennella" ], "a": 53, "ab": 4, "b": 1, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "ERICA Shu", "Mario Pennella" ], "a": 39, "ab": 1, "b": 2, "bc": 0, "c": 1, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 45, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ERICA Shu", "Mario Pennella" ], "a": 53, "ab": 2, "b": 2, "bc": 1, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 59, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ERICA Shu", "Mario Pennella" ], "a": 50, "ab": 1, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 55, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ERICA Shu", "Mario Pennella", "RICHELLE KASTEN" ], "a": 113, "ab": 3, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 118, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ERICA Shu", "Mario Pennella" ], "a": 44, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Danielle Widner", "ERICA Shu", "Mario Pennella", "SHYANNA BRICKSON" ], "a": 111, "ab": 4, "b": 1, "bc": 1, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 118, "source_aliases": [ "BIOCHEM 100" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 100", "course_uid": "course_efe02c42716591dd16a8fc03", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Danielle Widner", "Mario Pennella" ], "a": 42, "ab": 0, "b": 0, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "BIOCHEM 100" ] } ] ``` ### statistics #### gpa 3.939 #### graded 929 #### counts * 881 * 24 * 11 * 3 * 4 * 3 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_efe02c42716591dd16a8fc03-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_efe02c42716591dd16a8fc03-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_efe02c42716591dd16a8fc03-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_efe02c42716591dd16a8fc03-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_efe02c42716591dd16a8fc03-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_efe02c42716591dd16a8fc03-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_efe02c42716591dd16a8fc03-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_efe02c42716591dd16a8fc03-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9391819160387516 #### count 929 #### university ##### size 5354 ##### gpa Percentile 81 ##### count Percentile 86 ##### median Count 180 ##### 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 | 301 | false | | 3.2–3.6 | 1366 | false | | 3.6–4.0 | 3677 | true | #### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 38, "gpaPercentile": 59, "countPercentile": 81, "medianCount": 229.5, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 26, "current": true } ] } } ] ``` ### terms #### 1152 ##### term 1152 ##### gpa 4 ##### count 30 ##### university ###### size 918 ###### gpa Percentile 97 ###### count Percentile 0 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1154 ##### term 1154 ##### gpa 3.9833333333333334 ##### count 30 ##### university ###### size 935 ###### gpa Percentile 94 ###### count Percentile 0 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1162 ##### term 1162 ##### gpa 4 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1164 ##### term 1164 ##### gpa 3.9827586206896552 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1172 ##### term 1172 ##### gpa 3.9838709677419355 ##### count 31 ##### university ###### size 991 ###### gpa Percentile 95 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | true | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1174 ##### term 1174 ##### gpa 4 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1184 ##### term 1184 ##### gpa 4 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1192 ##### term 1192 ##### gpa 3.966666666666667 ##### count 30 ##### university ###### size 1077 ###### gpa Percentile 93 ###### count Percentile 0 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1194 ##### term 1194 ##### gpa 3.98 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1202 ##### term 1202 ##### gpa 4 ##### count 30 ##### university ###### size 1102 ###### gpa Percentile 96 ###### count Percentile 0 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 100, "countPercentile": 0, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.925925925925926 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1212 ##### term 1212 ##### gpa 3.857142857142857 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1222 ##### term 1222 ##### gpa 3.8392857142857144 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1224 ##### term 1224 ##### gpa 4 ##### count 30 ##### university ###### size 1171 ###### gpa Percentile 94 ###### count Percentile 0 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 0, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.8916666666666666 ##### count 60 ##### university ###### size 1216 ###### gpa Percentile 81 ###### count Percentile 45 ###### 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": 70, "countPercentile": 50, "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 } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.7666666666666666 ##### count 45 ##### university ###### size 1188 ###### gpa Percentile 65 ###### count Percentile 30 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 18, "medianCount": 57.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8728813559322033 ##### count 59 ##### university ###### size 1295 ###### gpa Percentile 77 ###### count Percentile 44 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 55, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.952830188679245 ##### count 53 ##### university ###### size 1241 ###### gpa Percentile 89 ###### count Percentile 39 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 40, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.9703389830508473 ##### count 118 ##### university ###### size 1333 ###### gpa Percentile 92 ###### count Percentile 73 ###### 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": 82, "countPercentile": 64, "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 } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 4 ##### count 44 ##### university ###### size 1289 ###### gpa Percentile 96 ###### count Percentile 27 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 38, "medianCount": 54.5, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.9279661016949152 ##### count 118 ##### university ###### size 1320 ###### gpa Percentile 84 ###### count Percentile 72 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 73, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.909090909090909 ##### count 44 ##### university ###### size 1283 ###### gpa Percentile 81 ###### count Percentile 28 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 45, "medianCount": 45.5, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5354 ###### gpa 3.691475163737326 ###### top Share 83.79085959027137 ###### count 180 ##### BIOCHEM ###### size 38 ###### gpa 3.695628349593756 ###### top Share 81.24061624294639 ###### count 229.5 #### terms ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ##### 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 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 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 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### BIOCHEM ###### size 13 ###### gpa 3.5936977819873044 ###### top Share 75.63528768863829 ###### count 49 ##### 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 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### BIOCHEM ###### size 12 ###### gpa 3.4862653963320214 ###### top Share 69.91314075459877 ###### count 57.5 ##### 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 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### BIOCHEM ###### size 11 ###### gpa 3.485820183132249 ###### top Share 72.33183974820507 ###### count 58 ##### 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 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### BIOCHEM ###### size 14 ###### gpa 3.433964049199819 ###### top Share 66.50185965650853 ###### count 54.5 ##### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### BIOCHEM ###### size 12 ###### gpa 3.579078243735759 ###### top Share 75.20837163824363 ###### count 45.5 ## instructor Trends ```json [ { "uid": "instructor_441f4f7ba9d28c1c54877443", "name": "MARIO PENNELLA", "count": 705, "terms": [ { "term": "1184", "count": 20, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 30, "sections": 1, "gpa": 3.966666666666667 }, { "term": "1194", "count": 25, "sections": 1, "gpa": 3.98 }, { "term": "1202", "count": 30, "sections": 1, "gpa": 4 }, { "term": "1204", "count": 27, "sections": 1, "gpa": 3.925925925925926 }, { "term": "1212", "count": 28, "sections": 1, "gpa": 3.857142857142857 }, { "term": "1222", "count": 28, "sections": 1, "gpa": 3.8392857142857144 }, { "term": "1224", "count": 30, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 60, "sections": 2, "gpa": 3.8916666666666666 }, { "term": "1234", "count": 45, "sections": 2, "gpa": 3.7666666666666666 }, { "term": "1242", "count": 59, "sections": 2, "gpa": 3.8728813559322033 }, { "term": "1244", "count": 25, "sections": 1, "gpa": 3.98 }, { "term": "1252", "count": 118, "sections": 3, "gpa": 3.9703389830508473 }, { "term": "1254", "count": 18, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 118, "sections": 4, "gpa": 3.9279661016949152 }, { "term": "1264", "count": 44, "sections": 2, "gpa": 3.909090909090909 } ] }, { "uid": "instructor_0511d5252e857cf0cd569f67", "name": "ERICA SHU", "count": 512, "terms": [ { "term": "1222", "count": 28, "sections": 1, "gpa": 3.8392857142857144 }, { "term": "1224", "count": 30, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 60, "sections": 2, "gpa": 3.8916666666666666 }, { "term": "1234", "count": 45, "sections": 2, "gpa": 3.7666666666666666 }, { "term": "1242", "count": 59, "sections": 2, "gpa": 3.8728813559322033 }, { "term": "1244", "count": 28, "sections": 1, "gpa": 3.9285714285714284 }, { "term": "1252", "count": 118, "sections": 3, "gpa": 3.9703389830508473 }, { "term": "1254", "count": 26, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 118, "sections": 4, "gpa": 3.9279661016949152 } ] }, { "uid": "instructor_9804a0e9baa8bbe90c4400eb", "name": "LYNNE PROST", "count": 330, "terms": [ { "term": "1152", "count": 30, "sections": 1, "gpa": 4 }, { "term": "1154", "count": 30, "sections": 1, "gpa": 3.9833333333333334 }, { "term": "1162", "count": 29, "sections": 1, "gpa": 4 }, { "term": "1164", "count": 29, "sections": 1, "gpa": 3.9827586206896552 }, { "term": "1172", "count": 31, "sections": 1, "gpa": 3.9838709677419355 }, { "term": "1174", "count": 21, "sections": 1, "gpa": 4 }, { "term": "1184", "count": 20, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 30, "sections": 1, "gpa": 3.966666666666667 }, { "term": "1194", "count": 25, "sections": 1, "gpa": 3.98 }, { "term": "1202", "count": 30, "sections": 1, "gpa": 4 }, { "term": "1204", "count": 27, "sections": 1, "gpa": 3.925925925925926 }, { "term": "1212", "count": 28, "sections": 1, "gpa": 3.857142857142857 } ] }, { "uid": "instructor_a5a9e0dfc4ae3e6a7172ae2a", "name": "LISA LENERTZ-LINDEMER", "count": 170, "terms": [ { "term": "1152", "count": 30, "sections": 1, "gpa": 4 }, { "term": "1154", "count": 30, "sections": 1, "gpa": 3.9833333333333334 }, { "term": "1162", "count": 29, "sections": 1, "gpa": 4 }, { "term": "1164", "count": 29, "sections": 1, "gpa": 3.9827586206896552 }, { "term": "1172", "count": 31, "sections": 1, "gpa": 3.9838709677419355 }, { "term": "1174", "count": 21, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_9814f906b3dcd351ac5ccadc", "name": "DANIELLE WIDNER", "count": 162, "terms": [ { "term": "1262", "count": 118, "sections": 4, "gpa": 3.9279661016949152 }, { "term": "1264", "count": 44, "sections": 2, "gpa": 3.909090909090909 } ] }, { "uid": "instructor_1a56a0b47a5e0e6fdf5edbb6", "name": "RICHELLE KASTEN", "count": 118, "terms": [ { "term": "1252", "count": 118, "sections": 3, "gpa": 3.9703389830508473 } ] }, { "uid": "instructor_51355f32b7767069f8577842", "name": "SHYANNA BRICKSON", "count": 118, "terms": [ { "term": "1262", "count": 118, "sections": 4, "gpa": 3.9279661016949152 } ] }, { "uid": "instructor_bfa736d22dd6682cdfe6d4f2", "name": "RICHARD AMASINO", "count": 60, "terms": [ { "term": "1152", "count": 30, "sections": 1, "gpa": 4 }, { "term": "1154", "count": 30, "sections": 1, "gpa": 3.9833333333333334 } ] }, { "uid": "instructor_6219009ad5c1eae45709718b", "name": "MARJOLIJN NAGELKERKE", "count": 28, "terms": [ { "term": "1222", "count": 28, "sections": 1, "gpa": 3.8392857142857144 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.9212109380980813 ### grades | grade | percentage | | ----- | ------------------- | | A | 92.61387472631787 | | AB | 3.728507341570591 | | B | 1.7703979299680002 | | BC | 0.9436100010717622 | | C | 0.2890695573622403 | | D | 0.3674613017316614 | | F | 0.28707914197786044 | ### source Terms * 1262 * 1252 * 1242 * 1232 ### source Count 355 ### same Season true ### historical Range * 3.8728813559322037 * 3.9703389830508473