# BIOCHEM 104: Molecules to Life and the Nature of Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BIOCHEM_104) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 39d3a284930943329c57a65a73844a662c74ff902eb6e3f57dc9b0590bc44b60 ### course id BIOCHEM 104 ### course uid course\_d05294a8b47a4fb823115de2 ### catalog version id f2e81180cab68dde557785ed3353b1bd5b7ce25ce843304f4f7794feb11e4ec8 ### course number 104 ### subjects * BIOCHEM ### title MOLECULES TO LIFE AND THE NATURE OF SCIENCE ### description Introduction to how life works at a molecular level and the evolutionary paths that led to the great diversity of life on our planet. With this foundation, discuss current topics in the news such as: exploring the human genome to understand our species' history and to diagnose and treat disease; genetic engineering of crops in relation to foods safety and effects on ecosystems; gene editing of insects and mammals including humans; how to determine whether herbal remedies, vaccines, etc. are effective and safe; and current trends in biotechnology and what might be on the horizon. Focus on appreciating the nature of science and becoming better equipped to explore and evaluate scientific topics of interest. ### requirements text None ### credits min 3 ### credits max 3 ### credit offering ids * 1272:200:024185 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 96e1eb138f195b4f1a4b27c9ad9ac468979d8e26fa9ce467be638ba3d0bbff5c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary BIOCHEM 104 introduces molecular life and evolution, exploring current biotechnology and genetic topics to foster scientific literacy. ### llm topics * Molecular biology foundations * Evolutionary biology * Human genome and history * Genetic engineering and food safety * Gene editing technologies * Biotechnology trends ### llm skills * Evaluate scientific topics and evidence ### llm assumed background None recorded. ### llm search phrases * molecular biology introduction * evolutionary biology basics * genetic engineering ethics * biotechnology trends * nature of science course ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 3b88ca709ffe03d80435127437ce0820615682e6d6e1995a4e36e8f5cc461141 #### course id BIOCHEM 104 #### 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 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.92 GPA, 95.5% A/AB (n=732 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_0539b758cbe711a88e0b8584", "message": null, "name": "Mario Pennella", "review_status": "supported", "rmp_instructor_id": "rmp:2304717", "summary": [ { "citations": [ { "instructor_name": "Mario Pennella", "review_date": "2022-01-09 23:04:00 +0000 UTC", "review_id": "131ed4aacc127361932f29a8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2304717", "source_review_id": "UmF0aW5nLTM1NzI0ODk5", "source_url": "https://www.ratemyprofessors.com/professor/2304717", "type": "review" } ], "text": "Mario Pennella demonstrates expertise by conveying information clearly and concisely, though he can be monotone. He is willing to answer questions during and after class." }, { "citations": [ { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.96 GPA, 98.4% A/AB (n=728 letter grades); Fall 2025: 3.92 GPA, 95.5% A/AB (n=732 letter grades); Spring 2026: 3.93 GPA, 96.8% A/AB (n=698 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_39c01a94d0bea8a2962150ca", "message": "No course-specific reviews available", "name": "Richard Amasino", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2259097", "summary": [ { "citations": [ { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.96 GPA, 98.4% A/AB (n=728 letter grades); Fall 2025: 3.92 GPA, 95.5% A/AB (n=732 letter grades); Spring 2026: 3.93 GPA, 96.8% A/AB (n=698 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload Homework requires approximately 30 minutes per week, indicating a manageable workload. ```json { "citations": [ { "instructor_name": "Mario Pennella", "review_date": "2022-01-09 23:04:00 +0000 UTC", "review_id": "131ed4aacc127361932f29a8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2304717", "source_review_id": "UmF0aW5nLTM1NzI0ODk5", "source_url": "https://www.ratemyprofessors.com/professor/2304717", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Mario Pennella teaches clearly and concisely, though his delivery can be monotone. The course material is interesting and exams align with lecture content. ```json { "citations": [ { "instructor_name": "Mario Pennella", "review_date": "2022-01-09 23:04:00 +0000 UTC", "review_id": "131ed4aacc127361932f29a8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2304717", "source_review_id": "UmF0aW5nLTM1NzI0ODk5", "source_url": "https://www.ratemyprofessors.com/professor/2304717", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.96 GPA, 98.4% A/AB (n=728 letter grades); Fall 2025: 3.92 GPA, 95.5% A/AB (n=732 letter grades); Spring 2026: 3.93 GPA, 96.8% A/AB (n=698 letter grades). ```json { "citations": [ { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Pennella demonstrates expertise and answers questions readily during and after class. ```json { "citations": [ { "instructor_name": "Mario Pennella", "review_date": "2022-01-09 23:04:00 +0000 UTC", "review_id": "131ed4aacc127361932f29a8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2304717", "source_review_id": "UmF0aW5nLTM1NzI0ODk5", "source_url": "https://www.ratemyprofessors.com/professor/2304717", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history DANIELLE WIDNER is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "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, 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 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` RICHARD AMASINO is recorded teaching in Spring 2015, Spring 2016, Spring 2018, Fall 2018, Spring 2019, Fall 2019, 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 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 104", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "source_record": { "entity_id": "8b6ac3a4-c34d-39f8-b0fe-2d79aecc1e70", "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_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_39c01a94d0bea8a2962150ca", "source": "enrollment", "source_instructor_id": "ramasino", "identity_basis": "netid", "identity_status": "source_identified", "name": "Richard Amasino", "email": "AMASINO@BIOCHEM.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": 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 }, "instructor_url": "/instructors/RICHARD_AMASINO" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:200:024185", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1272", "source_course_id": "024185", "source_subject_id": "200", "title": "Molecules to Life and the Nature of Science", "credits_min": 3, "credits_max": 3, "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:1272:19325", "term_id": "1272", "source_section_id": "19325", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 39, "waitlisted": 20, "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:1272:27815", "term_id": "1272", "source_section_id": "27815", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 700, "enrolled": 704, "waitlisted": 19, "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_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_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_39c01a94d0bea8a2962150ca", "source": "enrollment", "source_instructor_id": "ramasino", "identity_basis": "netid", "identity_status": "source_identified", "name": "Richard Amasino", "email": "AMASINO@BIOCHEM.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": 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 }, "instructor_url": "/instructors/RICHARD_AMASINO" }, { "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 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "LISA LENERTZ-LINDEMER" ], "a": 18, "ab": 4, "b": 0, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "LISA LENERTZ-LINDEMER", "Richard Amasino" ], "a": 21, "ab": 2, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "LISA LENERTZ-LINDEMER", "Richard Amasino" ], "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": 1, "other": 0, "total": 22, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 39, "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": 39, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 26, "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": 27, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 43, "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": 45, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 38, "ab": 3, "b": 3, "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": 46, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 42, "ab": 2, "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": 46, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 41, "ab": 1, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 38, "ab": 3, "b": 4, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 83, "ab": 4, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 90, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 87, "ab": 1, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 90, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 107, "ab": 5, "b": 1, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 114, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 107, "ab": 5, "b": 3, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 6, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 122, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 586, "ab": 11, "b": 13, "bc": 2, "c": 5, "d": 1, "f": 1, "satisfactory": 7, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 626, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 696, "ab": 20, "b": 6, "bc": 1, "c": 5, "d": 0, "f": 0, "satisfactory": 7, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 736, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Danielle Widner", "Mario Pennella", "Richard Amasino" ], "a": 673, "ab": 26, "b": 20, "bc": 7, "c": 5, "d": 1, "f": 0, "satisfactory": 7, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 739, "source_aliases": [ "BIOCHEM 104" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 104", "course_uid": "course_d05294a8b47a4fb823115de2", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Mario Pennella", "Richard Amasino" ], "a": 655, "ab": 21, "b": 9, "bc": 6, "c": 5, "d": 1, "f": 1, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 701, "source_aliases": [ "BIOCHEM 104" ] } ] ``` ### statistics #### gpa 3.939 #### graded 3546 #### counts * 3321 * 111 * 66 * 18 * 25 * 3 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d05294a8b47a4fb823115de2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d05294a8b47a4fb823115de2-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d05294a8b47a4fb823115de2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d05294a8b47a4fb823115de2-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_d05294a8b47a4fb823115de2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_d05294a8b47a4fb823115de2-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_d05294a8b47a4fb823115de2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_d05294a8b47a4fb823115de2-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d05294a8b47a4fb823115de2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d05294a8b47a4fb823115de2-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9392272983643544 #### count 3546 #### university ##### size 5185 ##### gpa Percentile 81 ##### count Percentile 98 ##### median Count 161 ##### 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 | 304 | false | | 3.2–3.6 | 1325 | false | | 3.6–4.0 | 3547 | true | #### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 37, "gpaPercentile": 64, "countPercentile": 97, "medianCount": 198, "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": 9, "current": false }, { "range": "3.6–4.0", "count": 24, "current": true } ] } } ] ``` ### terms #### 1152 ##### term 1152 ##### gpa 3.8260869565217392 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1154 ##### term 1154 ##### gpa 3.9166666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1164 ##### term 1164 ##### gpa 4 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1184 ##### term 1184 ##### gpa 4 ##### count 39 ##### university ###### size 1010 ###### gpa Percentile 96 ###### count Percentile 18 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1192 ##### term 1192 ##### gpa 3.9814814814814814 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1194 ##### term 1194 ##### gpa 3.977777777777778 ##### count 45 ##### university ###### size 1040 ###### gpa Percentile 94 ###### count Percentile 28 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1202 ##### term 1202 ##### gpa 3.8152173913043477 ##### count 46 ##### university ###### size 1102 ###### gpa Percentile 77 ###### count Percentile 30 ###### 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": 64, "countPercentile": 45, "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 } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.9347826086956523 ##### count 46 ##### university ###### size 1111 ###### gpa Percentile 88 ###### count Percentile 29 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1222 ##### term 1222 ##### gpa 3.9651162790697674 ##### count 43 ##### university ###### size 1157 ###### gpa Percentile 93 ###### count Percentile 27 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 56, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.8085106382978724 ##### count 47 ##### university ###### size 1171 ###### gpa Percentile 71 ###### count Percentile 33 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 58, "countPercentile": 33, "medianCount": 49, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 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 3.955056179775281 ##### count 89 ##### university ###### size 1216 ###### gpa Percentile 90 ###### count Percentile 61 ###### 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": 80, "countPercentile": 80, "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 3.9831460674157304 ##### count 89 ##### university ###### size 1188 ###### gpa Percentile 94 ###### count Percentile 63 ###### 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": 82, "countPercentile": 73, "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 3.9517543859649122 ##### count 114 ##### university ###### size 1295 ###### gpa Percentile 89 ###### count Percentile 72 ###### 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": 82, "countPercentile": 91, "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 3.939655172413793 ##### count 116 ##### university ###### size 1241 ###### gpa Percentile 87 ###### count Percentile 75 ###### 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": 80, "countPercentile": 90, "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 3.9378029079159935 ##### count 619 ##### university ###### size 1333 ###### gpa Percentile 87 ###### count Percentile 98 ###### 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": 73, "countPercentile": 91, "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 3.9622252747252746 ##### count 728 ##### university ###### size 1289 ###### gpa Percentile 91 ###### count Percentile 99 ###### 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": 85, "countPercentile": 100, "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 3.922814207650273 ##### count 732 ##### university ###### size 1320 ###### gpa Percentile 83 ###### count Percentile 98 ###### 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": 64, "countPercentile": 91, "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 3.934813753581662 ##### count 698 ##### university ###### size 1283 ###### gpa Percentile 85 ###### count Percentile 99 ###### 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": 82, "countPercentile": 91, "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 5185 ###### gpa 3.6900087539169073 ###### top Share 83.71526315688335 ###### count 161 ##### BIOCHEM ###### size 37 ###### gpa 3.6946208230560136 ###### top Share 81.37170369043633 ###### count 198 #### 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 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 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 ##### 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_bfa736d22dd6682cdfe6d4f2", "name": "RICHARD AMASINO", "count": 3523, "terms": [ { "term": "1154", "count": 24, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1164", "count": 21, "sections": 1, "gpa": 4 }, { "term": "1184", "count": 39, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 27, "sections": 1, "gpa": 3.9814814814814814 }, { "term": "1194", "count": 45, "sections": 1, "gpa": 3.977777777777778 }, { "term": "1202", "count": 46, "sections": 1, "gpa": 3.8152173913043477 }, { "term": "1212", "count": 46, "sections": 1, "gpa": 3.9347826086956523 }, { "term": "1222", "count": 43, "sections": 1, "gpa": 3.9651162790697674 }, { "term": "1224", "count": 47, "sections": 1, "gpa": 3.8085106382978724 }, { "term": "1232", "count": 89, "sections": 1, "gpa": 3.955056179775281 }, { "term": "1234", "count": 89, "sections": 1, "gpa": 3.9831460674157304 }, { "term": "1242", "count": 114, "sections": 2, "gpa": 3.9517543859649122 }, { "term": "1244", "count": 116, "sections": 2, "gpa": 3.939655172413793 }, { "term": "1252", "count": 619, "sections": 2, "gpa": 3.9378029079159935 }, { "term": "1254", "count": 728, "sections": 2, "gpa": 3.9622252747252746 }, { "term": "1262", "count": 732, "sections": 2, "gpa": 3.922814207650273 }, { "term": "1264", "count": 698, "sections": 1, "gpa": 3.934813753581662 } ] }, { "uid": "instructor_441f4f7ba9d28c1c54877443", "name": "MARIO PENNELLA", "count": 3478, "terms": [ { "term": "1184", "count": 39, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 27, "sections": 1, "gpa": 3.9814814814814814 }, { "term": "1194", "count": 45, "sections": 1, "gpa": 3.977777777777778 }, { "term": "1202", "count": 46, "sections": 1, "gpa": 3.8152173913043477 }, { "term": "1212", "count": 46, "sections": 1, "gpa": 3.9347826086956523 }, { "term": "1222", "count": 43, "sections": 1, "gpa": 3.9651162790697674 }, { "term": "1224", "count": 47, "sections": 1, "gpa": 3.8085106382978724 }, { "term": "1232", "count": 89, "sections": 1, "gpa": 3.955056179775281 }, { "term": "1234", "count": 89, "sections": 1, "gpa": 3.9831460674157304 }, { "term": "1242", "count": 114, "sections": 2, "gpa": 3.9517543859649122 }, { "term": "1244", "count": 116, "sections": 2, "gpa": 3.939655172413793 }, { "term": "1252", "count": 619, "sections": 2, "gpa": 3.9378029079159935 }, { "term": "1254", "count": 728, "sections": 2, "gpa": 3.9622252747252746 }, { "term": "1262", "count": 732, "sections": 2, "gpa": 3.922814207650273 }, { "term": "1264", "count": 698, "sections": 1, "gpa": 3.934813753581662 } ] }, { "uid": "instructor_9814f906b3dcd351ac5ccadc", "name": "DANIELLE WIDNER", "count": 732, "terms": [ { "term": "1262", "count": 732, "sections": 2, "gpa": 3.922814207650273 } ] }, { "uid": "instructor_a5a9e0dfc4ae3e6a7172ae2a", "name": "LISA LENERTZ-LINDEMER", "count": 68, "terms": [ { "term": "1152", "count": 23, "sections": 1, "gpa": 3.8260869565217392 }, { "term": "1154", "count": 24, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1164", "count": 21, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.9419561318873546 ### grades | grade | percentage | | ----- | -------------------- | | A | 93.5710141062178 | | AB | 3.282442785063412 | | B | 2.1052157079750464 | | BC | 0.36136529469695483 | | C | 0.5624307389877127 | | D | 0.07908517749935536 | | F | 0.038446189559706544 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 1597 ### same Season true ### historical Range * 3.9228142076502728 * 3.965116279069768 ### backtest #### terms 3 #### gpa Error 0.016649073355398187 #### mix Error 2.563211517956407