# EPD 416: Engineering Applications of Statistics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/EPD_416) ## 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 bf45fa3bd7a6d9cabb2985d98407ac8c16486b2ce83b84c7525ee4824f160d32 ### course id EPD 416 ### course uid course\_acc32afc8725c523e2b032bc ### catalog version id cd85460337793be0a8889b47bdfcaea78f7e5fa17d7a2474266fd4a00a250bab ### course number 416 ### subjects * EPD ### title ENGINEERING APPLICATIONS OF STATISTICS ### description Provides knowledge and skills to apply statistics to many types of engineering problems. Focuses on developing statistically-based experimental techniques and tests for measures of validity, application of computer-based statistical tools, and approaches to distillation of data. ### requirements text Graduate/professional standing or declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id c73c8510ad759b127fb09abf5130d564a94e366cc454c20f006b61e104228a76 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary EPD 416 teaches applying statistics, experimental techniques, and computer-based tools to engineering data analysis. ### llm topics * Statistically-based experimental techniques * Tests for measures of validity * Computer-based statistical tools * Data distillation ### llm skills * Applying statistics to engineering problems * Developing experimental techniques and validity tests * Applying computer-based statistical tools * Distilling data ### llm assumed background None recorded. ### llm search phrases * engineering statistics * experimental design * data analysis tools * statistical validity ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 4e61e55237b2ea8ed55ad1c87f2d5ad126a365bab7f049de78ef592d6de298f8 #### course id EPD 416 #### 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: 3.89 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2026: 3.79 GPA, 94.1% A/AB (n=17 letter grades). ```json { "citations": [ { "course_id": "EPD 416", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "93e56fd9-b9df-35d7-bc9f-54c425c39e27", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "EPD 416", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "93e56fd9-b9df-35d7-bc9f-54c425c39e27", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "EPD 416", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "93e56fd9-b9df-35d7-bc9f-54c425c39e27", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Graduate/professional standing or declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics", "id": "n0", "kind": "any" }, { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n1", "kind": "condition" }, { "children": [], "condition": "declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics", "course": null, "evidence": "declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_5ea72c5a605a054836b9cdfb", "source": "madgrades", "source_instructor_id": "1008356", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CONRAD FUNG", "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": 3.955, "graded": 354, "counts": [ 329, 18, 7, 0, 0, 0, 0 ], "sections": 13 }, "instructor_url": "/instructors/CONRAD_FUNG" }, { "instructor_uid": "instructor_fcdf6c7be806130e137ac63f", "source": "madgrades", "source_instructor_id": "477740", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANTHONY ORZECHOWSKI", "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": 3.875, "graded": 84, "counts": [ 65, 17, 2, 0, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/ANTHONY_ORZECHOWSKI--instructor_fcdf6c7be806130e137ac63f" }, { "instructor_uid": "instructor_1b6c2eca32db9d3ae3710b5f", "source": "madgrades", "source_instructor_id": "4393843", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SINAN TAS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 6, "quality": 3.67, "difficulty": 3, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:2840709", "source_url": "https://www.ratemyprofessors.com/professor/2840709", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:28.734401+00:00", "courses": { "course_9d2db43001abbe58247267ec": { "review_count": 3, "quality": 4.67, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 }, "course_465855ee8f77f31be2f79f78": { "review_count": 3, "quality": 2.67, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.6620659873435346, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.641, "graded": 1306, "counts": [ 765, 289, 161, 54, 31, 3, 3 ], "sections": 26 }, "instructor_url": "/instructors/SINAN_TAS--instructor_1b6c2eca32db9d3ae3710b5f" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "CONRAD FUNG" ], "a": 25, "ab": 2, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "CONRAD FUNG" ], "a": 24, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "CONRAD FUNG" ], "a": 28, "ab": 0, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "CONRAD FUNG" ], "a": 28, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "CONRAD FUNG" ], "a": 26, "ab": 1, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", 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"20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "CONRAD FUNG" ], "a": 28, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "CONRAD FUNG" ], "a": 30, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "CONRAD FUNG" ], "a": 25, "ab": 3, "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": 28, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "CONRAD FUNG" ], "a": 39, "ab": 3, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "CONRAD FUNG" ], "a": 16, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 17, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "CONRAD FUNG" ], "a": 9, "ab": 2, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Anthony Orzechowski" ], "a": 15, "ab": 8, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Anthony Orzechowski", "Sinan Tas" ], "a": 7, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 9, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Anthony Orzechowski" ], "a": 9, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 10, "source_aliases": [ "EPD 416" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EPD 416", "course_uid": "course_acc32afc8725c523e2b032bc", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Anthony Orzechowski" ], "a": 11, "ab": 5, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 17, "source_aliases": [ "EPD 416" ] } ] ``` ### statistics #### gpa 3.937 #### graded 414 #### counts * 371 * 34 * 9 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_acc32afc8725c523e2b032bc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_acc32afc8725c523e2b032bc-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_acc32afc8725c523e2b032bc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_acc32afc8725c523e2b032bc-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_acc32afc8725c523e2b032bc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_acc32afc8725c523e2b032bc-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9371980676328504 #### count 414 #### university ##### size 4519 ##### gpa Percentile 83 ##### count Percentile 77 ##### median Count 147 ##### 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 | 19 | false | | 2.8–3.2 | 367 | false | | 3.2–3.6 | 1279 | false | | 3.6–4.0 | 2854 | true | #### departments ```json [ { "subject": "EPD", "comparison": { "size": 23, "gpaPercentile": 64, "countPercentile": 91, "medianCount": 87, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 20, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.9285714285714284 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1082 ##### term 1082 ##### gpa 3.9615384615384617 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1092 ##### term 1092 ##### gpa 3.933333333333333 ##### count 30 ##### university ###### size 732 ###### gpa Percentile 92 ###### count Percentile 0 ###### 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 | false | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | true | ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1102 ##### term 1102 ##### gpa 4 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1112 ##### term 1112 ##### gpa 3.9464285714285716 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1122 ##### term 1122 ##### gpa 3.8793103448275863 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1132 ##### term 1132 ##### gpa 4 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1142 ##### term 1142 ##### gpa 4 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1152 ##### term 1152 ##### gpa 3.9838709677419355 ##### count 31 ##### university ###### size 918 ###### gpa Percentile 97 ###### count Percentile 2 ###### 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 | subject | comparison | | ------- | ---------- | | EPD | | #### 1162 ##### term 1162 ##### gpa 3.9464285714285716 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1172 ##### term 1172 ##### gpa 3.9642857142857144 ##### count 42 ##### university ###### size 991 ###### gpa Percentile 94 ###### count Percentile 24 ###### 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 | false | | 3.6–4.0 | 390 | true | ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1192 ##### term 1192 ##### gpa 3.9705882352941178 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1202 ##### term 1202 ##### gpa 3.8333333333333335 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1232 ##### term 1232 ##### gpa 3.7916666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1244 ##### term 1244 ##### gpa 3.888888888888889 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1254 ##### term 1254 ##### gpa 3.95 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | #### 1264 ##### term 1264 ##### gpa 3.7941176470588234 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | EPD | | ### benchmarks #### all ##### school ###### size 4519 ###### gpa 3.6489811354695743 ###### top Share 81.23285021952927 ###### count 147 ##### EPD ###### size 23 ###### gpa 3.8227830492669277 ###### top Share 92.10700711759995 ###### count 87 #### 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 ##### 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 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 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_5ea72c5a605a054836b9cdfb", "name": "CONRAD FUNG", "count": 354, "terms": [ { "term": "1072", "count": 28, "sections": 1, "gpa": 3.9285714285714284 }, { "term": "1082", "count": 26, "sections": 1, "gpa": 3.9615384615384617 }, { "term": "1092", "count": 30, "sections": 1, "gpa": 3.933333333333333 }, { "term": "1102", "count": 28, "sections": 1, "gpa": 4 }, { "term": "1112", "count": 28, "sections": 1, "gpa": 3.9464285714285716 }, { "term": "1122", "count": 29, "sections": 1, "gpa": 3.8793103448275863 }, { "term": "1132", "count": 27, "sections": 1, "gpa": 4 }, { "term": "1142", "count": 28, "sections": 1, "gpa": 4 }, { "term": "1152", "count": 31, "sections": 1, "gpa": 3.9838709677419355 }, { "term": "1162", "count": 28, "sections": 1, "gpa": 3.9464285714285716 }, { "term": "1172", "count": 42, "sections": 1, "gpa": 3.9642857142857144 }, { "term": "1192", "count": 17, "sections": 1, "gpa": 3.9705882352941178 }, { "term": "1202", "count": 12, "sections": 1, "gpa": 3.8333333333333335 } ] }, { "uid": "instructor_fcdf6c7be806130e137ac63f", "name": "ANTHONY ORZECHOWSKI", "count": 60, "terms": [ { "term": "1232", "count": 24, "sections": 1, "gpa": 3.7916666666666665 }, { "term": "1244", "count": 9, "sections": 1, "gpa": 3.888888888888889 }, { "term": "1254", "count": 10, "sections": 1, "gpa": 3.95 }, { "term": "1264", "count": 17, "sections": 1, "gpa": 3.7941176470588234 } ] }, { "uid": "instructor_1b6c2eca32db9d3ae3710b5f", "name": "SINAN TAS", "count": 9, "terms": [ { "term": "1244", "count": 9, "sections": 1, "gpa": 3.888888888888889 } ] } ] ``` ## following None recorded.