# BIOCHEM 551: Biochemical Methods | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BIOCHEM_551) ## 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 49bbab730b014ff8cdd84d84562373907e7592131ef7ed67b0bf8534a4a4ebc5 ### course id BIOCHEM 551 ### course uid course\_378f2210954f5e9404bcb8cb ### catalog version id b36b9c3415f3f725e11b2935b21e3c33cc8b556675b9dd40a736c5db3f901205 ### course number 551 ### subjects * BIOCHEM ### title BIOCHEMICAL METHODS ### description Introduction to modern biochemical laboratory techniques and current biochemical literature. Includes student seminar presentations based upon scientific literature that parallels experiments performed in the lab. ### requirements text BIOCHEM 501,507, or concurrent enrollment ### credits min 4 ### credits max 4 ### credit offering ids * 1272:200:001864 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 7530f8580e534cafaf922f0b0803f0355b2aa79f4347117e14b1b235c843a4de ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary BIOCHEMICAL METHODS introduces modern biochemical laboratory techniques and current literature through lab experiments and student seminars. ### llm topics * Current biochemical literature * Laboratory experiments ### llm skills * Modern biochemical laboratory techniques * Scientific literature analysis and seminar presentation ### llm assumed background * Foundational biochemistry knowledge including metabolism and protein structure. ### llm search phrases * biochemical laboratory techniques * biochemical literature review * scientific seminar presentations * modern biochemistry methods ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 1a4bba459c6435c4bb31d49ca8c815f3afb29e250be4653f6b17ce06390639ba #### course id BIOCHEM 551 #### current instructors ```json [ { "instructor_uid": "instructor_354aaab47401a84dfa731e68", "message": "No course-specific reviews available", "name": "Alessandro Senes", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2759585", "summary": [ { "citations": [ { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.74 GPA, 88.4% A/AB (n=86 letter grades); Fall 2024: 3.80 GPA, 93.5% A/AB (n=93 letter grades); Fall 2025: 3.78 GPA, 93.6% A/AB (n=78 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 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.73 GPA, 89.5% A/AB (n=95 letter grades); Fall 2025: 3.78 GPA, 93.6% A/AB (n=78 letter grades); Spring 2026: 3.85 GPA, 96.6% A/AB (n=117 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload Historical reviews of Lynne Prost: Reviewers report that lectures move too fast to take notes and lab grading criteria are unclear. The lab work is described as tedious and repetitive for those with prior experience, while exams are considered easy. ```json { "citations": [ { "instructor_name": "Lynne Prost", "review_date": "2016-02-16 22:41:45 +0000 UTC", "review_id": "3efa4ab207d502713b97c1c2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI2MDYxNTc3", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" }, { "instructor_name": "Lynne Prost", "review_date": "2016-12-07 22:38:25 +0000 UTC", "review_id": "8d412797f7b2647086f9e710", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI3MzgwMzMw", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" } ] } ``` #### errors None recorded. #### historical context No reviews exist for current instructors Alessandro Senes or Erica Shu. Historical reviews for Lynne Prost describe conflicting experiences, ranging from supportive and helpful to critical of lecture pacing and lab clarity. ```json { "citations": [ { "instructor_name": "Lynne Prost", "review_date": "2016-02-16 22:41:45 +0000 UTC", "review_id": "3efa4ab207d502713b97c1c2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI2MDYxNTc3", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" }, { "instructor_name": "Lynne Prost", "review_date": "2016-12-07 22:38:25 +0000 UTC", "review_id": "8d412797f7b2647086f9e710", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI3MzgwMzMw", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" }, { "instructor_name": "Lynne Prost", "review_date": "2016-12-11 18:12:22 +0000 UTC", "review_id": "46f7acbc3842dc7abba8b33b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI3NDM0NTg2", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" }, { "instructor_name": "Lynne Prost", "review_date": "2021-09-02 15:48:31 +0000 UTC", "review_id": "7a8f5dd94b996a1b074b779b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTM1MDU5MjI3", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Lynne Prost describe the course as having easy lectures and exams, though the lab is considered tedious. Students found the instruction helpful and supportive, with one reviewer noting shallow biochemistry underpinning. ```json { "citations": [ { "instructor_name": "Lynne Prost", "review_date": "2016-12-07 22:38:25 +0000 UTC", "review_id": "8d412797f7b2647086f9e710", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI3MzgwMzMw", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" }, { "instructor_name": "Lynne Prost", "review_date": "2016-12-11 18:12:22 +0000 UTC", "review_id": "46f7acbc3842dc7abba8b33b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI3NDM0NTg2", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.73 GPA, 89.5% A/AB (n=95 letter grades); Fall 2025: 3.78 GPA, 93.6% A/AB (n=78 letter grades); Spring 2026: 3.85 GPA, 96.6% A/AB (n=117 letter grades). ```json { "citations": [ { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Lynne Prost: Students appreciated Prost's willingness to help one-on-one and provide resources for struggling learners. However, one reviewer criticized the lab techniques and unclear grading, while another noted her lax grading for presentations. ```json { "citations": [ { "instructor_name": "Lynne Prost", "review_date": "2016-02-16 22:41:45 +0000 UTC", "review_id": "3efa4ab207d502713b97c1c2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI2MDYxNTc3", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" }, { "instructor_name": "Lynne Prost", "review_date": "2016-12-11 18:12:22 +0000 UTC", "review_id": "46f7acbc3842dc7abba8b33b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1929740", "source_review_id": "UmF0aW5nLTI3NDM0NTg2", "source_url": "https://www.ratemyprofessors.com/professor/1929740", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ALESSANDRO SENES is recorded teaching in Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "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, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` LYNNE PROST is recorded teaching in Spring 2016, Fall 2016, Spring 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "BIOCHEM 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "source_record": { "entity_id": "9d619660-4160-33c6-a6ed-e0960fb9ad2e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "BIOCHEM 501,507, or concurrent enrollment", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 501, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior_or_concurrent" }, "evidence": "BIOCHEM 501", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 507, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior_or_concurrent" }, "evidence": "507", "id": "n2", "kind": "course" }, { "children": [], "condition": "concurrent enrollment", "course": null, "evidence": "concurrent enrollment", "id": "n3", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_354aaab47401a84dfa731e68", "source": "enrollment", "source_instructor_id": "senes", "identity_basis": "netid", "identity_status": "source_identified", "name": "Alessandro Senes", "email": "SENES@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": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2759585", "source_url": "https://www.ratemyprofessors.com/professor/2759585", "match_basis": "exact_name", "observed_at": "2026-09-07 16:57:07.132590+00:00", "courses": { "course_4d75650c58cdbd7175d895b2": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ALESSANDRO_SENES" }, { "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" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:200:001864", "course_id": "BIOCHEM 551", "course_uid": "course_378f2210954f5e9404bcb8cb", "term_id": "1272", "source_course_id": "001864", "source_subject_id": "200", "title": "Biochemical Methods", "credits_min": 4, "credits_max": 4, "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:1272:10176", "term_id": "1272", "source_section_id": "10176", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 96, "enrolled": 95, "waitlisted": 1, "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:1272:10181", "term_id": "1272", "source_section_id": "10181", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 22, "enrolled": 23, "waitlisted": 1, "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:1272:10182", "term_id": "1272", "source_section_id": "10182", "identity_basis": "class_number", "section_number": "302", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 22, "enrolled": 24, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10460", "term_id": "1272", "source_section_id": "10460", "identity_basis": "class_number", "section_number": "303", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 22, "enrolled": 24, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10644", "term_id": "1272", "source_section_id": "10644", "identity_basis": "class_number", "section_number": "304", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 22, "enrolled": 24, "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_3008d14c1185369043430b91", "source": "madgrades", "source_instructor_id": "5115241", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEXANDER JUSTEN", "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": 3.337, "graded": 120, "counts": [ 45, 37, 17, 8, 7, 6, 0 ], "sections": 1 }, "instructor_url": "/instructors/ALEXANDER_JUSTEN--instructor_3008d14c1185369043430b91" }, { "instructor_uid": "instructor_34d2b38cebc1f511583f6184", "source": "madgrades", "source_instructor_id": "4011209", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SANDRA TSENG", "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": 3.337, "graded": 120, "counts": [ 45, 37, 17, 8, 7, 6, 0 ], "sections": 1 }, "instructor_url": "/instructors/SANDRA_TSENG" }, { "instructor_uid": "instructor_474d77d32d4295202ad10490", "source": "madgrades", "source_instructor_id": "4286068", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANNA KROPORNICKA", "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": 3.337, "graded": 120, "counts": [ 45, 37, 17, 8, 7, 6, 0 ], "sections": 1 }, "instructor_url": "/instructors/ANNA_KROPORNICKA" }, { "instructor_uid": "instructor_4b200dcee18d941fa9c9daf8", "source": "madgrades", "source_instructor_id": "4458133", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SARAH HANSEN", "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": 3.337, "graded": 120, "counts": [ 45, 37, 17, 8, 7, 6, 0 ], "sections": 1 }, "instructor_url": "/instructors/SARAH_HANSEN--instructor_4b200dcee18d941fa9c9daf8" }, { "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_f075b158e3ef80803a50e596", "source": "madgrades", "source_instructor_id": "4188310", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DOUGLAS B WEIBEL", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": 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"course_34903ee31ae592cff4822461": { "review_count": 16, "quality": 4.62, "difficulty": 3.81, "quality_count": 16, "difficulty_count": 16 } }, "bayesian_quality": 4.079846723681267, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.056, "graded": 4350, "counts": [ 1138, 587, 1410, 519, 531, 98, 67 ], "sections": 193 }, "instructor_url": "/instructors/AUBREY_ELLISON" }, { "instructor_uid": "instructor_5dc9831fd084f9a629944fd4", "source": "madgrades", "source_instructor_id": "5852352", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELIZABETH CASELLE", "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": 3.337, "graded": 92, "counts": [ 30, 26, 25, 4, 4, 3, 0 ], "sections": 1 }, "instructor_url": "/instructors/ELIZABETH_CASELLE" }, { "instructor_uid": "instructor_c6c563cf26b2784fe44ade6c", "source": "madgrades", "source_instructor_id": "5852351", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PEI LIU", "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": 3.337, "graded": 92, "counts": [ 30, 26, 25, 4, 4, 3, 0 ], "sections": 1 }, "instructor_url": "/instructors/PEI_LIU--instructor_c6c563cf26b2784fe44ade6c" }, { "instructor_uid": "instructor_6cd0defbf7738d6c4e541ec6", "source": "madgrades", "source_instructor_id": "5600960", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SRIVATSAN RAMAN", "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": 3.723, "graded": 993, "counts": [ 656, 203, 77, 43, 11, 2, 1 ], "sections": 86 }, "instructor_url": "/instructors/SRIVATSAN_RAMAN" }, { "instructor_uid": "instructor_09717efd74214a2bf5a39498", "source": "madgrades", "source_instructor_id": "4541664", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALESSANDRO SENES", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2759585", "source_url": "https://www.ratemyprofessors.com/professor/2759585", "match_basis": "exact_name", "observed_at": "2026-09-07 16:57:07.132590+00:00", "courses": { "course_4d75650c58cdbd7175d895b2": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.794, "graded": 1494, "counts": [ 1105, 236, 106, 31, 12, 3, 1 ], "sections": 145 }, "instructor_url": "/instructors/ALESSANDRO_SENES--instructor_09717efd74214a2bf5a39498" }, { "instructor_uid": "instructor_71df325f78a6b2f4354d1034", "source": "madgrades", "source_instructor_id": "5038933", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ABDALLA IBRAHIM", "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": 3.295, "graded": 83, "counts": [ 23, 23, 24, 10, 1, 2, 0 ], "sections": 1 }, "instructor_url": "/instructors/ABDALLA_IBRAHIM--instructor_71df325f78a6b2f4354d1034" }, { "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_354aaab47401a84dfa731e68", "source": "enrollment", "source_instructor_id": "senes", "identity_basis": "netid", "identity_status": "source_identified", "name": "Alessandro Senes", "email": "SENES@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": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2759585", "source_url": "https://www.ratemyprofessors.com/professor/2759585", "match_basis": "exact_name", "observed_at": "2026-09-07 16:57:07.132590+00:00", "courses": { "course_4d75650c58cdbd7175d895b2": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ALESSANDRO_SENES" }, { "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" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 551", "course_uid": "course_378f2210954f5e9404bcb8cb", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "ALEXANDER JUSTEN", "ANNA KROPORNICKA", "DOUGLAS B WEIBEL", "LYNNE PROST", "SANDRA TSENG", "SARAH HANSEN" ], "a": 45, "ab": 37, "b": 17, "bc": 8, "c": 7, "d": 6, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, 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2024", "instructors": [ "ERICA Shu", "Vatsan Raman" ], "a": 70, "ab": 12, "b": 5, "bc": 3, "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": 90, "source_aliases": [ "BIOCHEM 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 551", "course_uid": "course_378f2210954f5e9404bcb8cb", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Alessandro Senes", "ERICA Shu" ], "a": 62, "ab": 25, "b": 5, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 94, "source_aliases": [ "BIOCHEM 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 551", "course_uid": "course_378f2210954f5e9404bcb8cb", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ERICA Shu", "Vatsan Raman" ], "a": 59, "ab": 26, "b": 5, "bc": 5, "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": 95, "source_aliases": [ "BIOCHEM 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 551", "course_uid": "course_378f2210954f5e9404bcb8cb", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Alessandro Senes", "ERICA Shu" ], "a": 51, "ab": 22, "b": 3, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 78, "source_aliases": [ "BIOCHEM 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM 551", "course_uid": "course_378f2210954f5e9404bcb8cb", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "ERICA Shu", "Vatsan Raman" ], "a": 85, "ab": 28, "b": 4, "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": 117, "source_aliases": [ "BIOCHEM 551" ] } ] ``` ### statistics #### gpa 3.607 #### graded 1844 #### counts * 975 * 511 * 219 * 92 * 31 * 14 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_378f2210954f5e9404bcb8cb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_378f2210954f5e9404bcb8cb-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_378f2210954f5e9404bcb8cb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_378f2210954f5e9404bcb8cb-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_378f2210954f5e9404bcb8cb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_378f2210954f5e9404bcb8cb-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_378f2210954f5e9404bcb8cb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_378f2210954f5e9404bcb8cb-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_378f2210954f5e9404bcb8cb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_378f2210954f5e9404bcb8cb-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.607104121475054 #### count 1844 #### university ##### size 5265 ##### gpa Percentile 32 ##### count Percentile 94 ##### median Count 173 ##### 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 | 7 | false | | 2.8–3.2 | 287 | false | | 3.2–3.6 | 1329 | false | | 3.6–4.0 | 3641 | true | #### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 36, "gpaPercentile": 37, "countPercentile": 94, "medianCount": 220.5, "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": 9, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } } ] ``` ### terms #### 1164 ##### term 1164 ##### gpa 3.3375 ##### count 120 ##### university ###### size 965 ###### gpa Percentile 37 ###### count Percentile 77 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1172 ##### term 1172 ##### gpa 3.3369565217391304 ##### count 92 ##### university ###### size 991 ###### gpa Percentile 37 ###### count Percentile 67 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1174 ##### term 1174 ##### gpa 3.25 ##### count 90 ##### university ###### size 955 ###### gpa Percentile 31 ###### count Percentile 64 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1182 ##### term 1182 ##### gpa 3.2951807228915664 ##### count 83 ##### university ###### size 1025 ###### gpa Percentile 31 ###### count Percentile 58 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1184 ##### term 1184 ##### gpa 3.5052083333333335 ##### count 96 ##### university ###### size 1010 ###### gpa Percentile 50 ###### count Percentile 67 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1192 ##### term 1192 ##### gpa 3.436046511627907 ##### count 86 ##### university ###### size 1077 ###### gpa Percentile 40 ###### count Percentile 62 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1194 ##### term 1194 ##### gpa 3.635294117647059 ##### count 85 ##### university ###### size 1040 ###### gpa Percentile 60 ###### count Percentile 61 ###### 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 3.563953488372093 ##### count 86 ##### university ###### size 1102 ###### gpa Percentile 51 ###### count Percentile 61 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 73, "medianCount": 48.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.760204081632653 ##### count 98 ##### university ###### size 1012 ###### gpa Percentile 53 ###### count Percentile 69 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | #### 1212 ##### term 1212 ##### gpa 3.7074468085106385 ##### count 94 ##### university ###### size 1111 ###### gpa Percentile 57 ###### count Percentile 63 ###### 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 3.598684210526316 ##### count 76 ##### university ###### size 1157 ###### gpa Percentile 47 ###### count Percentile 55 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 10, "gpaPercentile": 44, "countPercentile": 78, "medianCount": 42, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.6666666666666665 ##### count 99 ##### university ###### size 1171 ###### gpa Percentile 53 ###### count Percentile 70 ###### 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": 50, "countPercentile": 83, "medianCount": 49, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 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 3.658536585365854 ##### count 82 ##### university ###### size 1216 ###### gpa Percentile 53 ###### count Percentile 58 ###### 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": 30, "countPercentile": 60, "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 3.6581632653061225 ##### count 98 ##### university ###### size 1188 ###### gpa Percentile 51 ###### count Percentile 68 ###### 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": 64, "countPercentile": 82, "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 3.738372093023256 ##### count 86 ##### university ###### size 1295 ###### gpa Percentile 59 ###### count Percentile 60 ###### 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": 45, "countPercentile": 73, "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 3.827777777777778 ##### count 90 ##### university ###### size 1241 ###### gpa Percentile 71 ###### count Percentile 64 ###### 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": 70, "countPercentile": 70, "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 3.795698924731183 ##### count 93 ##### university ###### size 1333 ###### gpa Percentile 66 ###### count Percentile 62 ###### 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": 45, "countPercentile": 55, "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 3.731578947368421 ##### count 95 ##### university ###### size 1289 ###### gpa Percentile 57 ###### count Percentile 68 ###### 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": 69, "countPercentile": 77, "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 3.782051282051282 ##### count 78 ##### university ###### size 1320 ###### gpa Percentile 61 ###### count Percentile 53 ###### 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": 55, "countPercentile": 55, "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 3.8461538461538463 ##### count 117 ##### university ###### size 1283 ###### gpa Percentile 70 ###### count Percentile 74 ###### 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": 64, "countPercentile": 82, "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 5265 ###### gpa 3.6958017573239084 ###### top Share 84.0420749817945 ###### count 173 ##### BIOCHEM ###### size 36 ###### gpa 3.6864449060367317 ###### top Share 80.8292529484985 ###### count 220.5 #### terms ##### 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 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### 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_0511d5252e857cf0cd569f67", "name": "ERICA SHU", "count": 914, "terms": [ { "term": "1222", "count": 76, "sections": 1, "gpa": 3.598684210526316 }, { "term": "1224", "count": 99, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1232", "count": 82, "sections": 1, "gpa": 3.658536585365854 }, { "term": "1234", "count": 98, "sections": 1, "gpa": 3.6581632653061225 }, { "term": "1242", "count": 86, "sections": 1, "gpa": 3.738372093023256 }, { "term": "1244", "count": 90, "sections": 1, "gpa": 3.827777777777778 }, { "term": "1252", "count": 93, "sections": 1, "gpa": 3.795698924731183 }, { "term": "1254", "count": 95, "sections": 1, "gpa": 3.731578947368421 }, { "term": "1262", "count": 78, "sections": 1, "gpa": 3.782051282051282 }, { "term": "1264", "count": 117, "sections": 1, "gpa": 3.8461538461538463 } ] }, { "uid": "instructor_9804a0e9baa8bbe90c4400eb", "name": "LYNNE PROST", "count": 847, "terms": [ { "term": "1164", "count": 120, "sections": 1, "gpa": 3.3375 }, { "term": "1172", "count": 92, "sections": 1, "gpa": 3.3369565217391304 }, { "term": "1174", "count": 90, "sections": 1, "gpa": 3.25 }, { "term": "1184", "count": 96, "sections": 1, "gpa": 3.5052083333333335 }, { "term": "1192", "count": 86, "sections": 1, "gpa": 3.436046511627907 }, { "term": "1194", "count": 85, "sections": 1, "gpa": 3.635294117647059 }, { "term": "1202", "count": 86, "sections": 1, "gpa": 3.563953488372093 }, { "term": "1204", "count": 98, "sections": 1, "gpa": 3.760204081632653 }, { "term": "1212", "count": 94, "sections": 1, "gpa": 3.7074468085106385 } ] }, { "uid": "instructor_6cd0defbf7738d6c4e541ec6", "name": "SRIVATSAN RAMAN", "count": 770, "terms": [ { "term": "1174", "count": 90, "sections": 1, "gpa": 3.25 }, { "term": "1184", "count": 96, "sections": 1, "gpa": 3.5052083333333335 }, { "term": "1194", "count": 85, "sections": 1, "gpa": 3.635294117647059 }, { "term": "1224", "count": 99, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1234", "count": 98, "sections": 1, "gpa": 3.6581632653061225 }, { "term": "1244", "count": 90, "sections": 1, "gpa": 3.827777777777778 }, { "term": "1254", "count": 95, "sections": 1, "gpa": 3.731578947368421 }, { "term": "1264", "count": 117, "sections": 1, "gpa": 3.8461538461538463 } ] }, { "uid": "instructor_09717efd74214a2bf5a39498", "name": "ALESSANDRO SENES", "count": 764, "terms": [ { "term": "1182", "count": 83, "sections": 1, "gpa": 3.2951807228915664 }, { "term": "1192", "count": 86, "sections": 1, "gpa": 3.436046511627907 }, { "term": "1202", "count": 86, "sections": 1, "gpa": 3.563953488372093 }, { "term": "1212", "count": 94, "sections": 1, "gpa": 3.7074468085106385 }, { "term": "1222", "count": 76, "sections": 1, "gpa": 3.598684210526316 }, { "term": "1232", "count": 82, "sections": 1, "gpa": 3.658536585365854 }, { "term": "1242", "count": 86, "sections": 1, "gpa": 3.738372093023256 }, { "term": "1252", "count": 93, "sections": 1, "gpa": 3.795698924731183 }, { "term": "1262", "count": 78, "sections": 1, "gpa": 3.782051282051282 } ] }, { "uid": "instructor_3008d14c1185369043430b91", "name": "ALEXANDER JUSTEN", "count": 120, "terms": [ { "term": "1164", "count": 120, "sections": 1, "gpa": 3.3375 } ] }, { "uid": "instructor_34d2b38cebc1f511583f6184", "name": "SANDRA TSENG", "count": 120, "terms": [ { "term": "1164", "count": 120, "sections": 1, "gpa": 3.3375 } ] }, { "uid": "instructor_474d77d32d4295202ad10490", "name": "ANNA KROPORNICKA", "count": 120, "terms": [ { "term": "1164", "count": 120, "sections": 1, "gpa": 3.3375 } ] }, { "uid": "instructor_4b200dcee18d941fa9c9daf8", "name": "SARAH HANSEN", "count": 120, "terms": [ { "term": "1164", "count": 120, "sections": 1, "gpa": 3.3375 } ] }, { "uid": "instructor_f075b158e3ef80803a50e596", "name": "DOUGLAS B WEIBEL", "count": 120, "terms": [ { "term": "1164", "count": 120, "sections": 1, "gpa": 3.3375 } ] }, { "uid": "instructor_29ff34ebc45a640a99e25de2", "name": "AUBREY ELLISON", "count": 92, "terms": [ { "term": "1172", "count": 92, "sections": 1, "gpa": 3.3369565217391304 } ] }, { "uid": "instructor_5dc9831fd084f9a629944fd4", "name": "ELIZABETH CASELLE", "count": 92, "terms": [ { "term": "1172", "count": 92, "sections": 1, "gpa": 3.3369565217391304 } ] }, { "uid": "instructor_c6c563cf26b2784fe44ade6c", "name": "PEI LIU", "count": 92, "terms": [ { "term": "1172", "count": 92, "sections": 1, "gpa": 3.3369565217391304 } ] }, { "uid": "instructor_71df325f78a6b2f4354d1034", "name": "ABDALLA IBRAHIM", "count": 83, "terms": [ { "term": "1182", "count": 83, "sections": 1, "gpa": 3.2951807228915664 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.46 #### upper 4 #### coverage 80 #### terms 8 ### gpa 3.735828279899455 ### grades | grade | percentage | | ----- | ------------------ | | A | 61.32417088347813 | | AB | 28.20025471891333 | | B | 7.273607863923819 | | BC | 2.720992561390815 | | C | 0.4809739722938951 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 415 ### same Season true ### historical Range * 3.598684210526316 * 3.7956989247311825 ### backtest #### terms 8 #### gpa Error 0.13431156666306604 #### mix Error 11.692685719466901