# BIOCHEM/CHEM 872: Selected Topics in Macromolecular and Biophysical Chemistry | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BIOCHEM_CHEM_872) ## 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 e0bab42d5a0c9987a0d384d8ab5d76e6c5ba77e37fb47aa3606ff02d7673d45f ### course id BIOCHEM/CHEM 872 ### course uid course\_4d75650c58cdbd7175d895b2 ### catalog version id 5ec8a4cf56e8ab28149e5ac48335d4ab341c41a456effc5bf1f291189622cef7 ### course number 872 ### subjects * BIOCHEM * CHEM ### title SELECTED TOPICS IN MACROMOLECULAR AND BIOPHYSICAL CHEMISTRY ### description Various selected topics in contemporary macromolecular or biophysical chemistry. ### requirements text Graduate/professional standing ### credits min 1 ### credits max 3 ### credit offering ids * 1272:200:002846 * 1272:200:002846.7 * 1272:224:002846 * 1272:224:002846.7 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 32d8a77931b26952168ccd305ee1d7c737b6cfefebb6c146e1f8165f59414449 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary This graduate course covers various selected topics in contemporary macromolecular and biophysical chemistry. ### llm topics * Macromolecular chemistry * Biophysical chemistry ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * macromolecular chemistry * biophysical chemistry * selected topics graduate * molecular structure function ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 14beec099d9e80674dd228b94dab2b68acbfeded7c6af8915587358968a62e41 #### course id BIOCHEM/CHEM 872 #### current instructors ```json [ { "instructor_uid": "instructor_354aaab47401a84dfa731e68", "message": null, "name": "Alessandro Senes", "review_status": "supported", "rmp_instructor_id": "rmp:2759585", "summary": [ { "citations": [ { "instructor_name": "Alessandro Senes", "review_date": "2021-12-22 20:15:33 +0000 UTC", "review_id": "7153e6c4c8c3f4e893b87104", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2759585", "source_review_id": "UmF0aW5nLTM1NjM0NjMz", "source_url": "https://www.ratemyprofessors.com/professor/2759585", "type": "review" } ], "text": "Alessandro Senes is described as understanding with clear expectations, leading one student to rate the class highly. This single review characterizes the course as one of the best experienced by the reviewer." }, { "citations": [ { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.79 GPA, 85.7% A/AB (n=35 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=36 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=38 letter grades)." } ] } ] ``` #### difficulty workload The course difficulty is rated as moderate, with a rating of 3 out of 5. ```json { "citations": [ { "instructor_name": "Alessandro Senes", "review_date": "2021-12-22 20:15:33 +0000 UTC", "review_id": "7153e6c4c8c3f4e893b87104", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2759585", "source_review_id": "UmF0aW5nLTM1NjM0NjMz", "source_url": "https://www.ratemyprofessors.com/professor/2759585", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Alessandro Senes provides a highly positive experience with clear expectations and an understanding demeanor, described by one reviewer as one of the best classes they ever had. ```json { "citations": [ { "instructor_name": "Alessandro Senes", "review_date": "2021-12-22 20:15:33 +0000 UTC", "review_id": "7153e6c4c8c3f4e893b87104", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2759585", "source_review_id": "UmF0aW5nLTM1NjM0NjMz", "source_url": "https://www.ratemyprofessors.com/professor/2759585", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.79 GPA, 85.7% A/AB (n=35 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=36 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=38 letter grades). ```json { "citations": [ { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students appreciate the clarity of expectations and the instructor's understanding nature, contributing to a high-quality learning environment. ```json { "citations": [ { "instructor_name": "Alessandro Senes", "review_date": "2021-12-22 20:15:33 +0000 UTC", "review_id": "7153e6c4c8c3f4e893b87104", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2759585", "source_review_id": "UmF0aW5nLTM1NjM0NjMz", "source_url": "https://www.ratemyprofessors.com/professor/2759585", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ALESSANDRO SENES is recorded teaching in Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "BIOCHEM/CHEM 872", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "source_record": { "entity_id": "91a1834a-6a58-30c3-a6fa-2733a9071280", "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": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "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" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:200:002846", "course_id": "BIOCHEM/CHEM 872", "course_uid": "course_4d75650c58cdbd7175d895b2", "term_id": "1272", "source_course_id": "002846", "source_subject_id": "200", "title": "Selected Topics in Macromolecular and Biophysical Chemistry", "credits_min": 1, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:200:002846.7", "course_id": "BIOCHEM/CHEM 872", "course_uid": "course_4d75650c58cdbd7175d895b2", "term_id": "1272", "source_course_id": "002846.7", "source_subject_id": "200", "title": "Topics in Biophysics", "credits_min": 1, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:224:002846", "course_id": "BIOCHEM/CHEM 872", "course_uid": "course_4d75650c58cdbd7175d895b2", "term_id": "1272", "source_course_id": "002846", "source_subject_id": "224", "title": "Selected Topics in Macromolecular and Biophysical Chemistry", "credits_min": 1, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:224:002846.7", "course_id": "BIOCHEM/CHEM 872", "course_uid": "course_4d75650c58cdbd7175d895b2", "term_id": "1272", "source_course_id": "002846.7", "source_subject_id": "224", "title": "Topics in Biophysics", "credits_min": 1, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10378", "term_id": "1272", "source_section_id": "10378", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 30, "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:1272:14423", "term_id": "1272", "source_section_id": "14423", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 8, "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_7ff6461506f7dfe3abd1663d", "source": "madgrades", "source_instructor_id": "2600742", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAMES WEISSHAAR", "email": null, "first_observed_at": 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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" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/CHEM 872", "course_uid": "course_4d75650c58cdbd7175d895b2", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "JAMES WEISSHAAR" ], "a": 27, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 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"course_id": "BIOCHEM/CHEM 872", "course_uid": "course_4d75650c58cdbd7175d895b2", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Alessandro Senes" ], "a": 36, "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": 36, "source_aliases": [ "BIOCHEM/CHEM 872" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCHEM/CHEM 872", "course_uid": "course_4d75650c58cdbd7175d895b2", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Alessandro Senes" ], "a": 38, "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": 38, "source_aliases": [ "BIOCHEM/CHEM 872" ] } ] ``` ### statistics #### gpa 3.948 #### graded 1117 #### counts * 1047 * 40 * 22 * 4 * 3 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4d75650c58cdbd7175d895b2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4d75650c58cdbd7175d895b2-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4d75650c58cdbd7175d895b2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4d75650c58cdbd7175d895b2-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_4d75650c58cdbd7175d895b2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_4d75650c58cdbd7175d895b2-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_4d75650c58cdbd7175d895b2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_4d75650c58cdbd7175d895b2-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4d75650c58cdbd7175d895b2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4d75650c58cdbd7175d895b2-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9480752014324083 #### count 1117 #### university ##### size 5784 ##### gpa Percentile 85 ##### count Percentile 84 ##### median Count 240.5 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 12 | false | | 2.8–3.2 | 363 | false | | 3.2–3.6 | 1576 | false | | 3.6–4.0 | 3833 | true | #### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 40, "gpaPercentile": 59, "countPercentile": 79, "medianCount": 352, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 28, "current": true } ] } }, { "subject": "CHEM", "comparison": { "size": 75, "gpaPercentile": 89, "countPercentile": 81, "medianCount": 283, "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": 12, "current": false }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 41, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 4 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1074 ##### term 1074 ##### gpa 3.869565217391304 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1082 ##### term 1082 ##### gpa 4 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1084 ##### term 1084 ##### gpa 4 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1092 ##### term 1092 ##### gpa 3.84 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1094 ##### term 1094 ##### gpa 4 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1102 ##### term 1102 ##### gpa 4 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1104 ##### term 1104 ##### gpa 4 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1112 ##### term 1112 ##### gpa 4 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1114 ##### term 1114 ##### gpa 4 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1122 ##### term 1122 ##### gpa 4 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1124 ##### term 1124 ##### gpa 4 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1132 ##### term 1132 ##### gpa 4 ##### count 32 ##### university ###### size 851 ###### gpa Percentile 97 ###### count Percentile 4 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "CHEM", "comparison": { "size": 16, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 4 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1142 ##### term 1142 ##### gpa 3.9444444444444446 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1144 ##### term 1144 ##### gpa 3.8833333333333333 ##### count 30 ##### university ###### size 878 ###### gpa Percentile 87 ###### count Percentile 0 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "CHEM", "comparison": { "size": 16, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.95 ##### count 30 ##### university ###### size 918 ###### gpa Percentile 93 ###### count Percentile 0 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "CHEM", "comparison": { "size": 20, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 77.5, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.913793103448276 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1162 ##### term 1162 ##### gpa 3.9074074074074074 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1164 ##### term 1164 ##### gpa 3.840909090909091 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1172 ##### term 1172 ##### gpa 3.9285714285714284 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1174 ##### term 1174 ##### gpa 3.96875 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1182 ##### term 1182 ##### gpa 3.9074074074074074 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1184 ##### term 1184 ##### gpa 3.9166666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | BIOCHEM | | | CHEM | | #### 1192 ##### term 1192 ##### gpa 3.9558823529411766 ##### count 34 ##### university ###### size 1077 ###### gpa Percentile 92 ###### count Percentile 8 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "CHEM", "comparison": { "size": 21, "gpaPercentile": 95, "countPercentile": 10, "medianCount": 73, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.7419354838709675 ##### count 31 ##### university ###### size 1040 ###### gpa Percentile 72 ###### count Percentile 2 ###### 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 ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "CHEM", "comparison": { "size": 17, "gpaPercentile": 88, "countPercentile": 6, "medianCount": 74, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.858974358974359 ##### count 39 ##### university ###### size 1102 ###### gpa Percentile 82 ###### 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 | 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": 73, "countPercentile": 36, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 22, "gpaPercentile": 90, "countPercentile": 38, "medianCount": 59.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.966666666666667 ##### count 30 ##### university ###### size 1012 ###### gpa Percentile 87 ###### count Percentile 0 ###### 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 ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "CHEM", "comparison": { "size": 15, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.891891891891892 ##### count 37 ##### university ###### size 1111 ###### gpa Percentile 82 ###### count Percentile 15 ###### 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 ```json [ { "subject": "BIOCHEM", "comparison": null }, { "subject": "CHEM", "comparison": { "size": 17, "gpaPercentile": 94, "countPercentile": 25, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 4 ##### count 34 ##### university ###### size 1157 ###### gpa Percentile 97 ###### count Percentile 10 ###### 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": 89, "countPercentile": 11, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 19, "gpaPercentile": 94, "countPercentile": 17, "medianCount": 59, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 4 ##### count 32 ##### university ###### size 1171 ###### gpa Percentile 94 ###### count Percentile 7 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "BIOCHEM", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 8, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 18, "gpaPercentile": 94, "countPercentile": 0, "medianCount": 76.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 4 ##### count 36 ##### university ###### size 1216 ###### gpa Percentile 95 ###### count Percentile 14 ###### 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": 100, "countPercentile": 0, "medianCount": 60, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "CHEM", "comparison": { "size": 18, "gpaPercentile": 88, "countPercentile": 12, "medianCount": 76.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 4 ##### count 32 ##### university ###### size 1188 ###### gpa Percentile 95 ###### count Percentile 5 ###### 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": 91, "countPercentile": 0, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 15, "gpaPercentile": 93, "countPercentile": 0, "medianCount": 105, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.9722222222222223 ##### count 36 ##### university ###### size 1295 ###### gpa Percentile 93 ###### count Percentile 15 ###### 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": 91, "countPercentile": 0, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 20, "gpaPercentile": 95, "countPercentile": 16, "medianCount": 65, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.986111111111111 ##### count 36 ##### university ###### size 1241 ###### gpa Percentile 94 ###### count Percentile 13 ###### 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": 100, "countPercentile": 10, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 94, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 4 ##### count 36 ##### university ###### size 1333 ###### gpa Percentile 96 ###### count Percentile 13 ###### 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": 91, "countPercentile": 9, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "CHEM", "comparison": { "size": 23, "gpaPercentile": 95, "countPercentile": 27, "medianCount": 69, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.7857142857142856 ##### count 35 ##### university ###### size 1289 ###### gpa Percentile 64 ###### count Percentile 11 ###### 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": 77, "countPercentile": 15, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 113, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 4 ##### count 36 ##### university ###### size 1320 ###### gpa Percentile 95 ###### count Percentile 13 ###### 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": 91, "countPercentile": 18, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 20, "gpaPercentile": 100, "countPercentile": 32, "medianCount": 72, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 4 ##### count 38 ##### university ###### size 1283 ###### gpa Percentile 95 ###### count Percentile 16 ###### 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": 100, "countPercentile": 18, "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 } ] } }, { "subject": "CHEM", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 20, "medianCount": 85, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### BIOCHEM ###### size 40 ###### gpa 3.7059664742991805 ###### top Share 81.76292047881923 ###### count 352 ##### CHEM ###### size 75 ###### gpa 3.5594186527846348 ###### top Share 74.76444652974236 ###### count 283 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### CHEM ###### size 16 ###### gpa 3.111005636698402 ###### top Share 48.728294123775115 ###### count 124.5 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### CHEM ###### size 16 ###### gpa 3.183862694910066 ###### top Share 50.692062354497125 ###### count 101 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### CHEM ###### size 18 ###### gpa 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