# PHMSCI 420: Physicochemical Principles of Drug Formulation and Delivery | UW–Madison [View on UW Courses](https://uwcourses.com/courses/PHMSCI_420) ## 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 5ce33a1d316ee4b3a398852eab30be83ed44836db56ef34b8592913bb7e2cd1b ### course id PHMSCI 420 ### course uid course\_798dcd39c6379d92bf6fe7ec ### catalog version id 96a0aca7b4ab8cd9c0b9e0b99c34f013921da5066690f19a30ff01846874311d ### course number 420 ### subjects * PHMSCI ### title PHYSICOCHEMICAL PRINCIPLES OF DRUG FORMULATION AND DELIVERY ### description Applications of physicochemical principles to pharmaceutical systems. ### requirements text Declared in Doctor of Pharmacy program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:718:014380 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id f6bf7c09cccd07b86d5407f9012e526b9f8c0092a60a3e6a5d83864170c6fe30 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary PHYSICOCHEMICAL PRINCIPLES OF DRUG FORMULATION AND DELIVERY applies physicochemical principles to pharmaceutical systems. ### llm topics None recorded. ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * physicochemical principles pharmaceutical systems * drug formulation delivery * pharmaceutical applications chemistry ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash fc641a508b5d3cd5211bc930a5c998d6e7d3d07d3e6df13afc33c07b65b83da0 #### course id PHMSCI 420 #### current instructors ```json [ { "instructor_uid": "instructor_c903d1d2efff7265d913daef", "message": "No course-specific reviews available", "name": "Caroline Roach", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_3759d499e7ee87a36aeb9ee9", "message": "No course-specific reviews available", "name": "Lian Yu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.27 GPA, 49.5% A/AB (n=93 letter grades); Fall 2024: 3.37 GPA, 58.4% A/AB (n=125 letter grades); Fall 2025: 3.27 GPA, 47.7% A/AB (n=132 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_ac0ed1cad493e16b540a97c5", "message": "No course-specific reviews available", "name": "Nina Hawkins", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.37 GPA, 58.4% A/AB (n=125 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2023: 3.27 GPA, 49.5% A/AB (n=93 letter grades); Fall 2024: 3.37 GPA, 58.4% A/AB (n=125 letter grades); Fall 2025: 3.27 GPA, 47.7% A/AB (n=132 letter grades). ```json { "citations": [ { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history LIAN YU is recorded teaching in Fall 2008, Fall 2010, Fall 2011, Fall 2014, Fall 2015, Fall 2016, 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": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` NINA HAWKINS is recorded teaching in Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "PHMSCI 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "source_record": { "entity_id": "486c3064-a720-31db-8d0c-3d1398b53f3e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Declared in Doctor of Pharmacy program", "course": null, "evidence": "Declared in Doctor of Pharmacy program", "id": "n0", "kind": "condition" } ] ``` #### notes * Unlinked course mention 'Doctor of Pharmacy program' requires identity verification. #### root n0 #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------------- | ------------------- | -------------------------------- | -------------------------------- | ---------------------------- | | instructor\_c903d1d2efff7265d913daef | enrollment | cmroach | netid | source\_identified | Caroline Roach | CMROACH\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/CAROLINE\_ROACH | | instructor\_3759d499e7ee87a36aeb9ee9 | enrollment | yu1 | netid | source\_identified | Lian Yu | LIAN.YU\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/LIAN\_YU | | instructor\_ac0ed1cad493e16b540a97c5 | enrollment | njhawkins | netid | source\_identified | Nina Hawkins | NJHAWKINS\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/NINA\_HAWKINS | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:718:014380", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1272", "source_course_id": "014380", "source_subject_id": "718", "title": "Physicochemical Principles of Drug Formulation and Delivery", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:17169", "term_id": "1272", "source_section_id": "17169", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 130, "enrolled": 139, "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_c376240df6e1a53868445e05", "source": "madgrades", "source_instructor_id": "3074537", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SANDRO MECOZZI", "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": 3.302, "graded": 2444, "counts": [ 723, 705, 552, 289, 159, 15, 1 ], "sections": 123 }, "instructor_url": "/instructors/SANDRO_MECOZZI--instructor_c376240df6e1a53868445e05" }, { "instructor_uid": "instructor_648fd13c620fb46f330409bd", "source": "madgrades", "source_instructor_id": "3011968", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WEIYUAN KAO", "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": 3.234, "graded": 867, "counts": [ 129, 332, 276, 89, 35, 5, 1 ], "sections": 76 }, "instructor_url": "/instructors/WEIYUAN_KAO--instructor_648fd13c620fb46f330409bd" }, { "instructor_uid": "instructor_9611266a2644ceeb00324f3e", "source": "madgrades", "source_instructor_id": "3776988", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LIAN YU", "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": 3.253, "graded": 3181, "counts": [ 790, 817, 986, 411, 165, 12, 0 ], "sections": 108 }, "instructor_url": "/instructors/LIAN_YU--instructor_9611266a2644ceeb00324f3e" }, { "instructor_uid": "instructor_8dc6984819feed2c2a84eaa8", "source": "madgrades", "source_instructor_id": "204338", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK SACCHETTI", "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": 3.44, "graded": 427, "counts": [ 152, 133, 93, 37, 12, 0, 0 ], "sections": 8 }, "instructor_url": "/instructors/MARK_SACCHETTI--instructor_8dc6984819feed2c2a84eaa8" }, { "instructor_uid": "instructor_327f44f6b062c910479da81b", "source": "madgrades", "source_instructor_id": "5261920", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MALIK EBBINI", "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": 3.241, "graded": 199, "counts": [ 44, 43, 86, 19, 6, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/MALIK_EBBINI" }, { "instructor_uid": "instructor_47ed075934b02f7c8ad44e50", "source": "madgrades", "source_instructor_id": "5663745", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KENNEDY BORCHARDT", "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": 3.108, "graded": 139, "counts": [ 23, 32, 49, 22, 13, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/KENNEDY_BORCHARDT" }, { "instructor_uid": "instructor_6a2dd0353f33ec4ae27701fb", "source": "madgrades", "source_instructor_id": "6292999", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AMY NEUSAENGER", "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": 3.108, "graded": 139, "counts": [ 23, 32, 49, 22, 13, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/AMY_NEUSAENGER" }, { "instructor_uid": "instructor_72299e010b350b242ac3989d", "source": "madgrades", "source_instructor_id": "5827955", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CAROLINE FATINA", "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": 3.27, "graded": 98, "counts": [ 24, 26, 31, 13, 4, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/CAROLINE_FATINA" }, { "instructor_uid": "instructor_253e4e1e092f6efff5edd61c", "source": "madgrades", "source_instructor_id": "5412261", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRISTOPHER STEVENS", "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": 3.274, "graded": 93, "counts": [ 23, 23, 34, 8, 5, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/CHRISTOPHER_STEVENS" }, { "instructor_uid": "instructor_8710b92b1bce764441f21402", "source": "madgrades", "source_instructor_id": "6091789", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XUEQING NIE", "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": 3.274, "graded": 93, "counts": [ 23, 23, 34, 8, 5, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/XUEQING_NIE--instructor_8710b92b1bce764441f21402" }, { "instructor_uid": "instructor_0065896c8ef3171d5cfbf1ac", "source": "madgrades", "source_instructor_id": "6560532", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NINA HAWKINS", "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": 3.305, "graded": 259, "counts": [ 72, 70, 78, 24, 14, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/NINA_HAWKINS--instructor_0065896c8ef3171d5cfbf1ac" }, { "instructor_uid": "instructor_7f7ac5b5ac13850d12d1a2e5", "source": "madgrades", "source_instructor_id": "6559672", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JU HONG", "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": 3.372, "graded": 125, "counts": [ 37, 36, 40, 7, 5, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/JU_HONG" }, { "instructor_uid": "instructor_3ff3759484bde24a1b1de1c4", "source": "madgrades", "source_instructor_id": "6647052", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MAYRA HERNANDEZ", "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": 3.265, "graded": 132, "counts": [ 31, 32, 52, 10, 7, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/MAYRA_HERNANDEZ" }, { "instructor_uid": "instructor_7febe6ab6b11bec5bdbb9e34", "source": "madgrades", "source_instructor_id": "6646342", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XINRAN ZHU", "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": 3.265, "graded": 132, "counts": [ 31, 32, 52, 10, 7, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/XINRAN_ZHU--instructor_7febe6ab6b11bec5bdbb9e34" }, { "instructor_uid": "instructor_3759d499e7ee87a36aeb9ee9", "source": "enrollment", "source_instructor_id": "yu1", "identity_basis": "netid", "identity_status": "source_identified", "name": "Lian Yu", "email": "LIAN.YU@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/LIAN_YU" }, { "instructor_uid": "instructor_ac0ed1cad493e16b540a97c5", "source": "enrollment", "source_instructor_id": "njhawkins", "identity_basis": "netid", "identity_status": "source_identified", "name": "Nina Hawkins", "email": "NJHAWKINS@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/NINA_HAWKINS" }, { "instructor_uid": "instructor_c903d1d2efff7265d913daef", "source": "enrollment", "source_instructor_id": "cmroach", "identity_basis": "netid", "identity_status": "source_identified", "name": "Caroline Roach", "email": "CMROACH@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/CAROLINE_ROACH" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "Sandro Mecozzi" ], "a": 16, "ab": 30, "b": 55, "bc": 25, "c": 17, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 144, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "Sandro Mecozzi" ], "a": 22, "ab": 30, "b": 41, "bc": 32, "c": 11, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 138, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "Lian Yu", "Sandro Mecozzi", "WEIYUAN KAO" ], "a": 28, "ab": 39, "b": 24, "bc": 21, "c": 16, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 132, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "Sandro Mecozzi" ], "a": 17, "ab": 40, "b": 35, "bc": 25, "c": 17, "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": 134, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Lian Yu", "Sandro Mecozzi" ], "a": 17, "ab": 33, "b": 36, "bc": 29, "c": 18, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 1, "total": 137, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "Lian Yu", "Sandro Mecozzi" ], "a": 41, "ab": 25, "b": 29, "bc": 12, "c": 22, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 132, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Sandro Mecozzi" ], "a": 45, "ab": 57, "b": 21, "bc": 10, "c": 6, "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": 139, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Sandro Mecozzi" ], "a": 33, "ab": 72, "b": 18, "bc": 10, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 136, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Lian Yu", "MARK SACCHETTI", "Sandro Mecozzi" ], "a": 36, "ab": 46, "b": 34, "bc": 7, "c": 5, "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": 128, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Lian Yu", "MARK SACCHETTI", "Sandro Mecozzi" ], "a": 46, "ab": 43, "b": 38, "bc": 19, "c": 3, "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": 149, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Lian Yu", "MARK SACCHETTI", "Sandro Mecozzi" ], "a": 70, "ab": 44, "b": 21, "bc": 11, "c": 4, "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": 150, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Lian Yu", "Sandro Mecozzi" ], "a": 44, "ab": 46, "b": 29, "bc": 19, "c": 5, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 144, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Lian Yu", "Sandro Mecozzi" ], "a": 68, "ab": 28, "b": 27, "bc": 5, "c": 6, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 135, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Lian Yu", "Sandro Mecozzi" ], "a": 46, "ab": 34, "b": 34, "bc": 10, "c": 3, "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": 127, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Lian Yu", "MALIK EBBINI" ], "a": 20, "ab": 17, "b": 55, "bc": 6, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 101, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "AMY NEUSAENGER", "KENNEDY BORCHARDT", "Lian Yu" ], "a": 23, "ab": 32, "b": 49, "bc": 22, "c": 13, "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": 139, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "CAROLINE FATINA", "Lian Yu", "MALIK EBBINI" ], "a": 24, "ab": 26, "b": 31, "bc": 13, "c": 4, "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": 98, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "CHRISTOPHER STEVENS", "Lian Yu", "XUEQING NIE" ], "a": 23, "ab": 23, "b": 34, "bc": 8, "c": 5, "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": 93, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "JU HONG", "Lian Yu", "Nina Hawkins" ], "a": 37, "ab": 36, "b": 40, "bc": 7, "c": 5, "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": 125, "source_aliases": [ "PHMSCI 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHMSCI 420", "course_uid": "course_798dcd39c6379d92bf6fe7ec", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Lian Yu", "MAYRA HERNANDEZ", "XINRAN ZHU" ], "a": 31, "ab": 32, "b": 52, "bc": 10, "c": 7, "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": 132, "source_aliases": [ "PHMSCI 420" ] } ] ``` ### statistics #### gpa 3.271 #### graded 2608 #### counts * 687 * 733 * 703 * 301 * 171 * 13 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_798dcd39c6379d92bf6fe7ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_798dcd39c6379d92bf6fe7ec-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_798dcd39c6379d92bf6fe7ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_798dcd39c6379d92bf6fe7ec-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_798dcd39c6379d92bf6fe7ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_798dcd39c6379d92bf6fe7ec-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_798dcd39c6379d92bf6fe7ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_798dcd39c6379d92bf6fe7ec-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.270705521472393 #### count 2608 #### university ##### size 4146 ##### gpa Percentile 11 ##### count Percentile 95 ##### median Count 193 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 10 | false | | 2.8–3.2 | 326 | false | | 3.2–3.6 | 1185 | true | | 3.6–4.0 | 2625 | false | #### departments ```json [ { "subject": "PHMSCI", "comparison": { "size": 21, "gpaPercentile": 10, "countPercentile": 90, "medianCount": 319, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 2.9965277777777777 ##### count 144 ##### university ###### size 723 ###### gpa Percentile 19 ###### count Percentile 79 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1082 ##### term 1082 ##### gpa 3.0583941605839415 ##### count 137 ##### university ###### size 723 ###### gpa Percentile 22 ###### 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 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | true | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1092 ##### term 1092 ##### gpa 3.114503816793893 ##### count 131 ##### university ###### size 732 ###### gpa Percentile 26 ###### count Percentile 74 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1102 ##### term 1102 ##### gpa 3.0559701492537314 ##### count 134 ##### university ###### size 774 ###### gpa Percentile 22 ###### count Percentile 77 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1112 ##### term 1112 ##### gpa 2.977777777777778 ##### count 135 ##### university ###### size 805 ###### gpa Percentile 15 ###### count Percentile 79 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1122 ##### term 1122 ##### gpa 3.16412213740458 ##### count 131 ##### university ###### size 804 ###### gpa Percentile 31 ###### count Percentile 78 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1132 ##### term 1132 ##### gpa 3.449640287769784 ##### count 139 ##### university ###### size 851 ###### gpa Percentile 56 ###### count Percentile 80 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1142 ##### term 1142 ##### gpa 3.4411764705882355 ##### count 136 ##### university ###### size 853 ###### gpa Percentile 56 ###### count Percentile 80 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1152 ##### term 1152 ##### gpa 3.39453125 ##### count 128 ##### university ###### size 918 ###### gpa Percentile 49 ###### count Percentile 77 ###### 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 | true | | 3.6–4.0 | 286 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1162 ##### term 1162 ##### gpa 3.3691275167785233 ##### count 149 ##### university ###### size 954 ###### gpa Percentile 42 ###### count Percentile 82 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1172 ##### term 1172 ##### gpa 3.55 ##### count 150 ##### university ###### size 991 ###### gpa Percentile 56 ###### count Percentile 82 ###### 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 | | ------- | ---------- | | PHMSCI | | #### 1182 ##### term 1182 ##### gpa 3.3506944444444446 ##### count 144 ##### university ###### size 1025 ###### gpa Percentile 36 ###### count Percentile 80 ###### 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 | | ------- | ---------- | | PHMSCI | | #### 1192 ##### term 1192 ##### gpa 3.5296296296296297 ##### count 135 ##### university ###### size 1077 ###### gpa Percentile 48 ###### count Percentile 77 ###### 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 | | ------- | ---------- | | PHMSCI | | #### 1202 ##### term 1202 ##### gpa 3.4330708661417324 ##### count 127 ##### university ###### size 1102 ###### gpa Percentile 39 ###### count Percentile 75 ###### 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 | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1212 ##### term 1212 ##### gpa 3.212871287128713 ##### count 101 ##### university ###### size 1111 ###### gpa Percentile 15 ###### count Percentile 68 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1222 ##### term 1222 ##### gpa 3.1079136690647484 ##### count 139 ##### university ###### size 1157 ###### gpa Percentile 11 ###### count Percentile 78 ###### 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 | true | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1232 ##### term 1232 ##### gpa 3.270408163265306 ##### count 98 ##### university ###### size 1216 ###### gpa Percentile 20 ###### count Percentile 67 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1242 ##### term 1242 ##### gpa 3.274193548387097 ##### count 93 ##### university ###### size 1295 ###### gpa Percentile 18 ###### count Percentile 64 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | #### 1252 ##### term 1252 ##### gpa 3.372 ##### count 125 ##### university ###### size 1333 ###### gpa Percentile 20 ###### count Percentile 75 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "PHMSCI", "comparison": { "size": 12, "gpaPercentile": 0, "countPercentile": 91, "medianCount": 65, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 2, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.265151515151515 ##### count 132 ##### university ###### size 1320 ###### gpa Percentile 14 ###### count Percentile 75 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments | subject | comparison | | ------- | ---------- | | PHMSCI | | ### benchmarks #### all ##### school ###### size 4146 ###### gpa 3.655576857310451 ###### top Share 81.61127984016484 ###### count 193 ##### PHMSCI ###### size 21 ###### gpa 3.672622649012828 ###### top Share 80.38945293763786 ###### count 319 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ##### 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 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### PHMSCI ###### size 12 ###### gpa 3.728543154478551 ###### top Share 84.94017449057357 ###### count 65 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_c376240df6e1a53868445e05", "name": "SANDRO MECOZZI", "count": 1920, "terms": [ { "term": "1072", "count": 144, "sections": 1, "gpa": 2.9965277777777777 }, { "term": "1082", "count": 137, "sections": 1, "gpa": 3.0583941605839415 }, { "term": "1092", "count": 131, "sections": 1, "gpa": 3.114503816793893 }, { "term": "1102", "count": 134, "sections": 1, "gpa": 3.0559701492537314 }, { "term": "1112", "count": 135, "sections": 1, "gpa": 2.977777777777778 }, { "term": "1122", "count": 131, "sections": 1, "gpa": 3.16412213740458 }, { "term": "1132", "count": 139, "sections": 1, "gpa": 3.449640287769784 }, { "term": "1142", "count": 136, "sections": 1, "gpa": 3.4411764705882355 }, { "term": "1152", "count": 128, "sections": 1, "gpa": 3.39453125 }, { "term": "1162", "count": 149, "sections": 1, "gpa": 3.3691275167785233 }, { "term": "1172", "count": 150, "sections": 1, "gpa": 3.55 }, { "term": "1182", "count": 144, "sections": 1, "gpa": 3.3506944444444446 }, { "term": "1192", "count": 135, "sections": 1, "gpa": 3.5296296296296297 }, { "term": "1202", "count": 127, "sections": 1, "gpa": 3.4330708661417324 } ] }, { "uid": "instructor_9611266a2644ceeb00324f3e", "name": "LIAN YU", "count": 1918, "terms": [ { "term": "1092", "count": 131, "sections": 1, "gpa": 3.114503816793893 }, { "term": "1112", "count": 135, "sections": 1, "gpa": 2.977777777777778 }, { "term": "1122", "count": 131, "sections": 1, "gpa": 3.16412213740458 }, { "term": "1152", "count": 128, "sections": 1, "gpa": 3.39453125 }, { "term": "1162", "count": 149, "sections": 1, "gpa": 3.3691275167785233 }, { "term": "1172", "count": 150, "sections": 1, "gpa": 3.55 }, { "term": "1182", "count": 144, "sections": 1, "gpa": 3.3506944444444446 }, { "term": "1192", "count": 135, "sections": 1, "gpa": 3.5296296296296297 }, { "term": "1202", "count": 127, "sections": 1, "gpa": 3.4330708661417324 }, { "term": "1212", "count": 101, "sections": 1, "gpa": 3.212871287128713 }, { "term": "1222", "count": 139, "sections": 1, "gpa": 3.1079136690647484 }, { "term": "1232", "count": 98, "sections": 1, "gpa": 3.270408163265306 }, { "term": "1242", "count": 93, "sections": 1, "gpa": 3.274193548387097 }, { "term": "1252", "count": 125, "sections": 1, "gpa": 3.372 }, { "term": "1262", "count": 132, "sections": 1, "gpa": 3.265151515151515 } ] }, { "uid": "instructor_8dc6984819feed2c2a84eaa8", "name": "MARK SACCHETTI", "count": 427, "terms": [ { "term": "1152", "count": 128, "sections": 1, "gpa": 3.39453125 }, { "term": "1162", "count": 149, "sections": 1, "gpa": 3.3691275167785233 }, { "term": "1172", "count": 150, "sections": 1, "gpa": 3.55 } ] }, { "uid": "instructor_327f44f6b062c910479da81b", "name": "MALIK EBBINI", "count": 199, "terms": [ { "term": "1212", "count": 101, "sections": 1, "gpa": 3.212871287128713 }, { "term": "1232", "count": 98, "sections": 1, "gpa": 3.270408163265306 } ] }, { "uid": "instructor_47ed075934b02f7c8ad44e50", "name": "KENNEDY BORCHARDT", "count": 139, "terms": [ { "term": "1222", "count": 139, "sections": 1, "gpa": 3.1079136690647484 } ] }, { "uid": "instructor_6a2dd0353f33ec4ae27701fb", "name": "AMY NEUSAENGER", "count": 139, "terms": [ { "term": "1222", "count": 139, "sections": 1, "gpa": 3.1079136690647484 } ] }, { "uid": "instructor_3ff3759484bde24a1b1de1c4", "name": "MAYRA HERNANDEZ", "count": 132, "terms": [ { "term": "1262", "count": 132, "sections": 1, "gpa": 3.265151515151515 } ] }, { "uid": "instructor_7febe6ab6b11bec5bdbb9e34", "name": "XINRAN ZHU", "count": 132, "terms": [ { "term": "1262", "count": 132, "sections": 1, "gpa": 3.265151515151515 } ] }, { "uid": "instructor_648fd13c620fb46f330409bd", "name": "WEIYUAN KAO", "count": 131, "terms": [ { "term": "1092", "count": 131, "sections": 1, "gpa": 3.114503816793893 } ] }, { "uid": "instructor_0065896c8ef3171d5cfbf1ac", "name": "NINA HAWKINS", "count": 125, "terms": [ { "term": "1252", "count": 125, "sections": 1, "gpa": 3.372 } ] }, { "uid": "instructor_7f7ac5b5ac13850d12d1a2e5", "name": "JU HONG", "count": 125, "terms": [ { "term": "1252", "count": 125, "sections": 1, "gpa": 3.372 } ] }, { "uid": "instructor_72299e010b350b242ac3989d", "name": "CAROLINE FATINA", "count": 98, "terms": [ { "term": "1232", "count": 98, "sections": 1, "gpa": 3.270408163265306 } ] }, { "uid": "instructor_253e4e1e092f6efff5edd61c", "name": "CHRISTOPHER STEVENS", "count": 93, "terms": [ { "term": "1242", "count": 93, "sections": 1, "gpa": 3.274193548387097 } ] }, { "uid": "instructor_8710b92b1bce764441f21402", "name": "XUEQING NIE", "count": 93, "terms": [ { "term": "1242", "count": 93, "sections": 1, "gpa": 3.274193548387097 } ] } ] ``` ## following | code | title | | ---------- | ------------------------------------------------------- | | PHMSCI 541 | PHARMACEUTICAL CALCULATIONS, DISPENSING AND COMPOUNDING | ## projection ### target 1272 ### interval #### lower 2.99 #### upper 3.56 #### coverage 80 #### terms 8 ### gpa 3.2739427072108565 ### grades | grade | percentage | | ----- | ------------------ | | A | 24.485106776872442 | | AB | 25.619852150413223 | | B | 35.4077950720786 | | BC | 9.172967739284624 | | C | 5.314278261351109 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 587 ### same Season true ### historical Range * 3.107913669064749 * 3.3720000000000003 ### backtest #### terms 8 #### gpa Error 0.09882578315682411 #### mix Error 12.928594463606135