# PHARMACY 621: Pharmacokinetics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/PHARMACY_621) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 5327d3434c0471f48bc7f88dfefd7e95e647afadcd102258e2d0fcec49b05ba3 ### course id PHARMACY 621 ### course uid course\_8ee6d2f7aa216a964730635c ### catalog version id ae88cecb38f6948fd4e6efdce56ee2afc7ccc4d48763b3a8ecdd177103afc1f5 ### course number 621 ### subjects * PHARMACY ### title PHARMACOKINETICS ### description Introduction to pharmacokinetics. Fundamental principles and specific physical models are discussed. Absorption, distribution, metabolism, and excretion are thoroughly described including applications to pharmacotherapy mostly through a one body compartment model. Biopharmaceuticals and small molecule drugs are discussed based on their specific pharmacokinetics. All pharmacokinetics and pharmacodynamics principles and concepts are further described in depth in terms of their clinical applications with an emphasis on the role of the pharmacy professional. ### requirements text Declared in the Doctor of Pharmacy program ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 33d3b6c7f26316fb062fe92faa12853b1ccdcb1678a8cf3debaf25942dd6fadd ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary PHARMACOKINETICS introduces fundamental principles, physical models, and clinical applications of drug absorption, distribution, metabolism, and excretion. ### llm topics * Fundamental principles and physical models of pharmacokinetics * Absorption, distribution, metabolism, and excretion (ADME) * One-body compartment model applications * Pharmacokinetics of biopharmaceuticals and small molecule drugs * Clinical applications of pharmacokinetics and pharmacodynamics ### llm skills * Understanding fundamental pharmacokinetic principles and physical models * Applying ADME concepts and one-compartment models to pharmacotherapy * Analyzing pharmacokinetics of biopharmaceuticals and small molecule drugs * Describing clinical applications of pharmacokinetics and pharmacodynamics ### llm assumed background None recorded. ### llm search phrases * pharmacokinetics pharmacy * ADME pharmacotherapy * one compartment model * biopharmaceuticals pharmacokinetics ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 9ef79c0f0f6b871a7b5760f7652df168e3eb78de9b58747a228ca0407a733758 #### course id PHARMACY 621 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.50 GPA, 69.9% A/AB (n=93 letter grades); Spring 2025: 3.26 GPA, 53.2% A/AB (n=124 letter grades); Spring 2026: 3.24 GPA, 51.5% A/AB (n=134 letter grades). ```json { "citations": [ { "course_id": "PHARMACY 621", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "73793b5c-0043-37d6-b5ba-0bf33d46aeba", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "PHARMACY 621", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "73793b5c-0043-37d6-b5ba-0bf33d46aeba", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "PHARMACY 621", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "73793b5c-0043-37d6-b5ba-0bf33d46aeba", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Declared in the Doctor of Pharmacy program", "course": null, "evidence": "Declared in the Doctor of Pharmacy program", "id": "n0", "kind": "condition" } ] ``` #### notes * Unlinked course mention: 'Doctor of Pharmacy program' is not in linked\_courses. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_0253caf37628a2a39b0257d8", "source": "madgrades", "source_instructor_id": "5929881", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUGE BRYNER", "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": 3.482, "graded": 357, "counts": [ 160, 91, 61, 25, 19, 1, 0 ], "sections": 3 }, "instructor_url": "/instructors/YUGE_BRYNER" }, { "instructor_uid": "instructor_6a9b0222575aebcd9eef7459", "source": "madgrades", "source_instructor_id": "4789926", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIN YIN LIM", "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": 3.457, "graded": 645, "counts": [ 278, 161, 118, 57, 27, 4, 0 ], "sections": 22 }, "instructor_url": "/instructors/SIN_YIN_LIM--instructor_6a9b0222575aebcd9eef7459" }, { "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_c55bd504c47d1cbbdb62636c", "source": "madgrades", "source_instructor_id": "6267598", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HAN ZHANG", "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": 3.451, "graded": 154, "counts": [ 71, 38, 21, 11, 11, 2, 0 ], "sections": 5 }, "instructor_url": "/instructors/HAN_ZHANG--instructor_c55bd504c47d1cbbdb62636c" }, { "instructor_uid": "instructor_5533ba9f13f85363b4782837", "source": "madgrades", "source_instructor_id": "6210348", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOOKYUNG HWANG", "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": 3.362, "graded": 217, "counts": [ 69, 62, 52, 27, 6, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/SOOKYUNG_HWANG--instructor_5533ba9f13f85363b4782837" }, { "instructor_uid": "instructor_8aae40372431953bbb5299ec", "source": "madgrades", "source_instructor_id": "6185636", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROGER CHANG", "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": 3.563, "graded": 574, "counts": [ 308, 112, 96, 40, 16, 1, 1 ], "sections": 5 }, "instructor_url": "/instructors/ROGER_CHANG--instructor_8aae40372431953bbb5299ec" }, { "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_d8bd3b1bbe7baa85bcd5ac32", "source": "madgrades", "source_instructor_id": "6661879", "identity_basis": "source_id", "identity_status": "source_identified", "name": "VASILIKI VALKANIOTI", "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": 3.243, "graded": 134, "counts": [ 35, 34, 38, 17, 9, 1, 0 ], "sections": 1 }, "instructor_url": "/instructors/VASILIKI_VALKANIOTI--instructor_d8bd3b1bbe7baa85bcd5ac32" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHARMACY 621", "course_uid": "course_8ee6d2f7aa216a964730635c", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Heyan Zhang", "Sandro Mecozzi", "Sin Yin Lim", "YUGE BRYNER" ], "a": 39, "ab": 24, "b": 18, "bc": 10, "c": 9, "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": [ "PHARMACY 621" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHARMACY 621", "course_uid": "course_8ee6d2f7aa216a964730635c", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ROGER CHANG", "SOOKYUNG HWANG", "Sandro Mecozzi", "Sin Yin Lim" ], "a": 41, "ab": 24, "b": 17, "bc": 9, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 93, "source_aliases": [ "PHARMACY 621" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHARMACY 621", "course_uid": "course_8ee6d2f7aa216a964730635c", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ROGER CHANG", "SOOKYUNG HWANG", "Sandro Mecozzi", "Sin Yin Lim" ], "a": 28, "ab": 38, "b": 35, "bc": 18, "c": 4, "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": 124, "source_aliases": [ "PHARMACY 621" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "PHARMACY 621", "course_uid": "course_8ee6d2f7aa216a964730635c", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Nina Hawkins", "Sandro Mecozzi", "Sin Yin Lim", "VASILIKI VALKANIOTI" ], "a": 35, "ab": 34, "b": 38, "bc": 17, "c": 9, "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": 134, "source_aliases": [ "PHARMACY 621" ] } ] ``` ### statistics #### gpa 3.323 #### graded 452 #### counts * 143 * 120 * 108 * 54 * 24 * 3 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8ee6d2f7aa216a964730635c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8ee6d2f7aa216a964730635c-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_8ee6d2f7aa216a964730635c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8ee6d2f7aa216a964730635c-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_8ee6d2f7aa216a964730635c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8ee6d2f7aa216a964730635c-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3230088495575223 #### count 452 #### university ##### size 2701 ##### gpa Percentile 13 ##### count Percentile 89 ##### median Count 104 ##### 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 | 13 | false | | 2.8–3.2 | 172 | false | | 3.2–3.6 | 693 | true | | 3.6–4.0 | 1823 | false | #### departments | subject | comparison | | -------- | ---------- | | PHARMACY | | ### terms #### 1234 ##### term 1234 ##### gpa 3.3465346534653464 ##### count 101 ##### university ###### size 1188 ###### gpa Percentile 25 ###### count Percentile 70 ###### 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 | true | | 3.6–4.0 | 650 | false | ##### departments | subject | comparison | | -------- | ---------- | | PHARMACY | | #### 1244 ##### term 1244 ##### gpa 3.5 ##### count 93 ##### university ###### size 1241 ###### gpa Percentile 33 ###### count Percentile 66 ###### 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 | true | | 3.6–4.0 | 706 | false | ##### departments | subject | comparison | | -------- | ---------- | | PHARMACY | | #### 1254 ##### term 1254 ##### gpa 3.2580645161290325 ##### count 124 ##### university ###### size 1289 ###### gpa Percentile 14 ###### count Percentile 78 ###### 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 | true | | 3.6–4.0 | 765 | false | ##### departments | subject | comparison | | -------- | ---------- | | PHARMACY | | #### 1264 ##### term 1264 ##### gpa 3.2425373134328357 ##### count 134 ##### university ###### size 1283 ###### gpa Percentile 14 ###### count Percentile 78 ###### 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 | true | | 3.6–4.0 | 789 | false | ##### departments | subject | comparison | | -------- | ---------- | | PHARMACY | | ### benchmarks #### all ##### school ###### size 2701 ###### gpa 3.6818072807746525 ###### top Share 83.341103666219 ###### count 104 #### terms ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_6a9b0222575aebcd9eef7459", "name": "SIN YIN LIM", "count": 452, "terms": [ { "term": "1234", "count": 101, "sections": 1, "gpa": 3.3465346534653464 }, { "term": "1244", "count": 93, "sections": 1, "gpa": 3.5 }, { "term": "1254", "count": 124, "sections": 1, "gpa": 3.2580645161290325 }, { "term": "1264", "count": 134, "sections": 1, "gpa": 3.2425373134328357 } ] }, { "uid": "instructor_c376240df6e1a53868445e05", "name": "SANDRO MECOZZI", "count": 452, "terms": [ { "term": "1234", "count": 101, "sections": 1, "gpa": 3.3465346534653464 }, { "term": "1244", "count": 93, "sections": 1, "gpa": 3.5 }, { "term": "1254", "count": 124, "sections": 1, "gpa": 3.2580645161290325 }, { "term": "1264", "count": 134, "sections": 1, "gpa": 3.2425373134328357 } ] }, { "uid": "instructor_5533ba9f13f85363b4782837", "name": "SOOKYUNG HWANG", "count": 217, "terms": [ { "term": "1244", "count": 93, "sections": 1, "gpa": 3.5 }, { "term": "1254", "count": 124, "sections": 1, "gpa": 3.2580645161290325 } ] }, { "uid": "instructor_8aae40372431953bbb5299ec", "name": "ROGER CHANG", "count": 217, "terms": [ { "term": "1244", "count": 93, "sections": 1, "gpa": 3.5 }, { "term": "1254", "count": 124, "sections": 1, "gpa": 3.2580645161290325 } ] }, { "uid": "instructor_0065896c8ef3171d5cfbf1ac", "name": "NINA HAWKINS", "count": 134, "terms": [ { "term": "1264", "count": 134, "sections": 1, "gpa": 3.2425373134328357 } ] }, { "uid": "instructor_d8bd3b1bbe7baa85bcd5ac32", "name": "VASILIKI VALKANIOTI", "count": 134, "terms": [ { "term": "1264", "count": 134, "sections": 1, "gpa": 3.2425373134328357 } ] }, { "uid": "instructor_0253caf37628a2a39b0257d8", "name": "YUGE BRYNER", "count": 101, "terms": [ { "term": "1234", "count": 101, "sections": 1, "gpa": 3.3465346534653464 } ] }, { "uid": "instructor_c55bd504c47d1cbbdb62636c", "name": "HAN ZHANG", "count": 101, "terms": [ { "term": "1234", "count": 101, "sections": 1, "gpa": 3.3465346534653464 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.320601175105121 ### grades | grade | percentage | | ----- | ------------------ | | A | 31.222652407605256 | | AB | 26.616439372133367 | | B | 24.309800583653292 | | BC | 12.046858302091936 | | C | 5.161173236918478 | | D | 0.6430760975976644 | | F | 0 | ### source Terms * 1264 * 1254 * 1244 * 1234 ### source Count 452 ### same Season false ### historical Range * 3.2425373134328357 * 3.5