# STAT 609: Mathematical Statistics I | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_609) ## 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 | 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| 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 d4fc5c2f7bc95655ce52a367a11a148128b0be093e9748038853ca2ab3e0f5ea ### course id STAT 609 ### course uid course\_c12730b42971bfae90899021 ### catalog version id 267220787285b21dab519b554aedb31c4121b57905df012aeb549b739613ed7c ### course number 609 ### subjects * STAT ### title MATHEMATICAL STATISTICS I ### description Review of probability, random variables and vectors and their distributions, moments and inequalities, generating functions, transformations of random variables, sampling and distribution theory, convergence concepts for sequences of random variables, laws of large numbers, central limit and other limit theorems. ### requirements text Graduate/professional standing or declared in Statistics VISP ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:018477 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 9c838d86e874c4c05561f7bc93e2f6248a221bc8182f7684910e9f51ba1943fc ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 609 covers mathematical statistics, including probability theory, distribution theory, and limit theorems like the Central Limit Theorem. ### llm topics * Probability theory and random variables * Sampling and distribution theory * Convergence concepts and limit theorems ### llm skills * Understanding probability distributions, moments, and generating functions * Applying sampling theory and limit theorems such as the Central Limit Theorem ### llm assumed background None recorded. ### llm search phrases * mathematical statistics graduate * probability theory limit theorems * STAT 609 statistical inference ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 813ce0443924392857a2c502a6ea6890c88846691c9fca0b3a8d0b6b206be363 #### course id STAT 609 #### current instructors ```json [ { "instructor_uid": "instructor_7f547f421dcc58c9e9c316fd", "message": null, "name": "Chunming Zhang", "review_status": "supported", "rmp_instructor_id": "rmp:1839798", "summary": [ { "citations": [ { "instructor_name": "Chunming Zhang", "review_date": "2013-10-02 17:24:15 +0000 UTC", "review_id": "0779705c1ec48257df490828", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1839798", "source_review_id": "UmF0aW5nLTIyMTUyODM2", "source_url": "https://www.ratemyprofessors.com/professor/1839798", "type": "review" } ], "text": "Chunming Zhang is praised for simplifying complex topics and providing pertinent examples to explain difficult theories effectively." }, { "citations": [ { "instructor_name": "Chunming Zhang", "review_date": "2025-05-13 13:42:14 +0000 UTC", "review_id": "50fc25d6ca52df1667a6052c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1839798", "source_review_id": "UmF0aW5nLTQxMjY1MTA0", "source_url": "https://www.ratemyprofessors.com/professor/1839798", "type": "review" } ], "text": "Conversely, one reviewer criticizes Zhang, stating that homework and class content differ significantly from the test, leading to a difficult experience." } ] } ] ``` #### difficulty workload One reviewer reports that homework and class content differ significantly from the test, requiring preparation for a difficult exam experience. ```json { "citations": [ { "instructor_name": "Chunming Zhang", "review_date": "2025-05-13 13:42:14 +0000 UTC", "review_id": "50fc25d6ca52df1667a6052c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1839798", "source_review_id": "UmF0aW5nLTQxMjY1MTA0", "source_url": "https://www.ratemyprofessors.com/professor/1839798", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Reviews for Chunming Zhang are polarized, with one praising her clarity and another warning of significant content mismatches between instruction and assessment. ```json { "citations": [ { "instructor_name": "Chunming Zhang", "review_date": "2013-10-02 17:24:15 +0000 UTC", "review_id": "0779705c1ec48257df490828", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1839798", "source_review_id": "UmF0aW5nLTIyMTUyODM2", "source_url": "https://www.ratemyprofessors.com/professor/1839798", "type": "review" }, { "instructor_name": "Chunming Zhang", "review_date": "2025-05-13 13:42:14 +0000 UTC", "review_id": "50fc25d6ca52df1667a6052c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1839798", "source_review_id": "UmF0aW5nLTQxMjY1MTA0", "source_url": "https://www.ratemyprofessors.com/professor/1839798", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.47 GPA, 68.8% A/AB (n=32 letter grades); Fall 2024: 3.45 GPA, 65.1% A/AB (n=43 letter grades); Fall 2025: 3.45 GPA, 54.5% A/AB (n=11 letter grades). ```json { "citations": [ { "course_id": "STAT 609", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6439662f-e685-3788-835b-5c5bb8db93d5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 609", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6439662f-e685-3788-835b-5c5bb8db93d5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 609", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6439662f-e685-3788-835b-5c5bb8db93d5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience A positive experience involves the instructor simplifying complex topics and using pertinent examples to explain difficult theories clearly. ```json { "citations": [ { "instructor_name": "Chunming Zhang", "review_date": "2013-10-02 17:24:15 +0000 UTC", "review_id": "0779705c1ec48257df490828", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1839798", "source_review_id": "UmF0aW5nLTIyMTUyODM2", "source_url": "https://www.ratemyprofessors.com/professor/1839798", "type": "review" } ] } ``` #### 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 Statistics VISP", "id": "n0", "kind": "any" }, { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing or 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Instruction", "capacity": 18, "enrolled": 17, "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_b12e39754963266e67c2e708", "source": "madgrades", "source_instructor_id": "3404299", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KJELL DOKSUM", "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": 3.288, "graded": 137, "counts": [ 38, 39, 39, 14, 4, 2, 1 ], "sections": 15 }, "instructor_url": "/instructors/KJELL_DOKSUM--instructor_b12e39754963266e67c2e708" }, { "instructor_uid": "instructor_8e924d59a99dc4ba0b8501dc", "source": "madgrades", "source_instructor_id": "1426304", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHANG CHUNMING", "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": 3.521, "graded": 1354, "counts": [ 617, 372, 243, 88, 21, 6, 7 ], "sections": 86 }, "instructor_url": "/instructors/ZHANG_CHUNMING--instructor_8e924d59a99dc4ba0b8501dc" }, { "instructor_uid": "instructor_6ef6ba5b00788b0ab8154cde", "source": "madgrades", "source_instructor_id": "1079018", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUN SHAO", "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": 3.641, "graded": 619, "counts": [ 325, 153, 135, 3, 3, 0, 0 ], "sections": 78 }, "instructor_url": "/instructors/JUN_SHAO--instructor_6ef6ba5b00788b0ab8154cde" }, { "instructor_uid": "instructor_776a80367ac941071d85ded3", "source": "madgrades", "source_instructor_id": "4264265", "identity_basis": "source_id", "identity_status": "source_identified", 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15:55:43.033547+00:00", "ratings": { "review_count": 73, "quality": 1.78, "difficulty": 3.68, "quality_count": 73, "difficulty_count": 73, "profile_id": "rmp:2546332", "source_url": "https://www.ratemyprofessors.com/professor/2546332", "match_basis": "exact_name", "observed_at": "2026-09-07 16:13:07.975993+00:00", "courses": { "course_2a00c702ff402614a950606e": { "review_count": 40, "quality": 1.82, "difficulty": 3.67, "quality_count": 40, "difficulty_count": 40 }, "course_f01b96472a8cdb3029148ea7": { "review_count": 15, "quality": 1.4, "difficulty": 4.13, "quality_count": 15, "difficulty_count": 15 }, "course_e593b86c370a0c671af794df": { "review_count": 4, "quality": 2, "difficulty": 3.75, "quality_count": 4, "difficulty_count": 4 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 13, "quality": 2.08, "difficulty": 3.15, "quality_count": 13, "difficulty_count": 13 } }, "bayesian_quality": 2.1842335018379773, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.243, "graded": 1554, "counts": [ 570, 329, 317, 138, 125, 62, 13 ], "sections": 37 }, "instructor_url": "/instructors/PANDUAN_AN--instructor_47603ce43b4df7855b782a91" }, { "instructor_uid": "instructor_7f547f421dcc58c9e9c316fd", "source": "enrollment", "source_instructor_id": "czhang3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Chunming Zhang", "email": "CMZHANG@STAT.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 2.44, "difficulty": 3.78, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:1839798", "source_url": "https://www.ratemyprofessors.com/professor/1839798", "match_basis": "exact_name", "observed_at": "2026-09-07 16:46:49.289443+00:00", "courses": { "course_e960d322d17638a03f3d8a4b": { "review_count": 7, "quality": 2.29, "difficulty": 3.71, "quality_count": 7, "difficulty_count": 7 }, "course_c12730b42971bfae90899021": { "review_count": 2, "quality": 3, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.2811626093424797, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/CHUNMING_ZHANG" }, { "instructor_uid": "instructor_8ee327e813916434bb02ca42", "source": "enrollment", "source_instructor_id": "xwang2587", "identity_basis": "netid", "identity_status": "source_identified", "name": "Xinyan Wang", "email": "XWANG2587@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/XINYAN_WANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "KJELL DOKSUM" ], "a": 6, "ab": 7, "b": 6, "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": 19, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "ZHANG CHUNMING" ], "a": 7, "ab": 9, "b": 7, "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": 23, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "ZHANG CHUNMING" ], "a": 6, "ab": 6, "b": 2, "bc": 0, "c": 1, "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": 17, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "ZHANG CHUNMING" ], "a": 10, "ab": 7, "b": 3, "bc": 1, "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": 21, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "ZHANG CHUNMING" ], "a": 10, "ab": 9, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 2, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "ZHANG CHUNMING" ], "a": 7, "ab": 7, "b": 9, "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": 23, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "ZHANG CHUNMING" ], "a": 10, "ab": 5, "b": 9, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "ZHANG CHUNMING" ], "a": 9, "ab": 7, "b": 7, "bc": 2, "c": 0, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 27, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Jun Shao", "ZHANG CHUNMING" ], "a": 18, "ab": 21, "b": 16, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 56, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Jun Shao", "ZHANG CHUNMING" ], "a": 28, "ab": 24, "b": 23, "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": 75, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Jun Shao", "ZHANG CHUNMING" ], "a": 23, "ab": 25, "b": 14, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 63, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Derek Bean", "Garvesh Raskutti" ], "a": 33, "ab": 23, "b": 11, "bc": 1, "c": 0, "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": 69, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Garvesh Raskutti" ], "a": 15, "ab": 7, "b": 5, "bc": 4, "c": 1, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "ZHANG CHUNMING" ], "a": 8, "ab": 14, "b": 4, "bc": 1, "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": 27, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "ZHANG CHUNMING" ], "a": 14, "ab": 10, "b": 3, "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": 27, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "PANDUAN AN" ], "a": 13, "ab": 13, "b": 5, "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": 1, "other": 0, "total": 32, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ZHANG CHUNMING" ], "a": 8, "ab": 10, "b": 9, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ZHANG CHUNMING" ], "a": 12, "ab": 10, "b": 6, "bc": 4, "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": 32, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "PANDUAN AN", "ZHANG CHUNMING" ], "a": 17, "ab": 11, "b": 9, "bc": 6, "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": 43, "source_aliases": [ "STAT 609" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 609", "course_uid": "course_c12730b42971bfae90899021", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "PANDUAN AN" ], "a": 6, "ab": 0, "b": 4, "bc": 0, "c": 1, "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": 11, "source_aliases": [ "STAT 609" ] } ] ``` ### statistics #### gpa 3.506 #### graded 674 #### counts * 260 * 225 * 156 * 23 * 3 * 4 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c12730b42971bfae90899021-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c12730b42971bfae90899021-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c12730b42971bfae90899021-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c12730b42971bfae90899021-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_c12730b42971bfae90899021-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_c12730b42971bfae90899021-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_c12730b42971bfae90899021-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_c12730b42971bfae90899021-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c12730b42971bfae90899021-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c12730b42971bfae90899021-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.50593471810089 #### count 674 #### university ##### size 4146 ##### gpa Percentile 28 ##### count Percentile 79 ##### 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": "STAT", "comparison": { "size": 63, "gpaPercentile": 42, "countPercentile": 68, "medianCount": 339, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 24, "current": true }, { "range": "3.6–4.0", "count": 30, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.5 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1082 ##### term 1082 ##### gpa 3.5 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1092 ##### term 1092 ##### gpa 3.375 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1102 ##### term 1102 ##### gpa 3.619047619047619 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1112 ##### term 1112 ##### gpa 3.34 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1122 ##### term 1122 ##### gpa 3.4565217391304346 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1132 ##### term 1132 ##### gpa 3.4423076923076925 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1142 ##### term 1142 ##### gpa 3.326923076923077 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1152 ##### term 1152 ##### gpa 3.518181818181818 ##### count 55 ##### university ###### size 918 ###### gpa Percentile 62 ###### count Percentile 40 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 84, "countPercentile": 47, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.533333333333333 ##### count 75 ##### university ###### size 954 ###### gpa Percentile 57 ###### count Percentile 57 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 74, "countPercentile": 61, "medianCount": 50.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.5725806451612905 ##### count 62 ##### university ###### size 991 ###### gpa Percentile 58 ###### count Percentile 45 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 79, "countPercentile": 58, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.608695652173913 ##### count 69 ##### university ###### size 1025 ###### gpa Percentile 60 ###### count Percentile 49 ###### 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 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 74, "countPercentile": 57, "medianCount": 65.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.338235294117647 ##### count 34 ##### university ###### size 1077 ###### gpa Percentile 34 ###### count Percentile 8 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 50, "countPercentile": 8, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.537037037037037 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1212 ##### term 1212 ##### gpa 3.7037037037037037 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1222 ##### term 1222 ##### gpa 3.629032258064516 ##### count 31 ##### university ###### size 1157 ###### gpa Percentile 49 ###### count Percentile 3 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 61, "countPercentile": 3, "medianCount": 55.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.413793103448276 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1242 ##### term 1242 ##### gpa 3.46875 ##### count 32 ##### university ###### size 1295 ###### gpa Percentile 32 ###### count Percentile 7 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 55, "countPercentile": 9, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.453488372093023 ##### count 43 ##### university ###### size 1333 ###### gpa Percentile 27 ###### count Percentile 26 ###### 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": "STAT", "comparison": { "size": 32, "gpaPercentile": 42, "countPercentile": 23, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.4545454545454546 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | ### benchmarks #### all ##### school ###### size 4146 ###### gpa 3.655576857310451 ###### top Share 81.61127984016484 ###### count 193 ##### STAT ###### size 63 ###### gpa 3.5564392939921423 ###### top Share 76.140046010654 ###### count 339 #### 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 ###### STAT ###### size 10 ###### gpa 3.181469252605204 ###### top Share 50.79697144214053 ###### count 66.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### STAT ###### size 11 ###### gpa 3.2851296989222463 ###### top Share 61.121424545066226 ###### count 65 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### STAT ###### size 15 ###### gpa 3.2431139797798068 ###### top Share 54.806129569025835 ###### count 72 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### STAT ###### size 14 ###### gpa 3.242406375705586 ###### top Share 57.34276482904032 ###### count 68.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### STAT ###### size 14 ###### gpa 3.247214504889537 ###### top Share 58.600170104917346 ###### count 78.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### STAT ###### size 16 ###### gpa 3.261044965144187 ###### top Share 59.360682472524054 ###### count 72 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### STAT ###### size 16 ###### gpa 3.240435267681857 ###### top Share 58.10171174479488 ###### count 44.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### STAT ###### size 20 ###### gpa 3.247281119355238 ###### top Share 58.400370581589016 ###### count 55 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### STAT ###### size 24 ###### gpa 3.394300783591793 ###### top Share 65.51183483352922 ###### count 50.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### STAT ###### size 25 ###### gpa 3.3324928117291264 ###### top Share 61.945618937548005 ###### count 56 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### STAT ###### size 24 ###### gpa 3.4023821420534044 ###### top Share 65.90044412864664 ###### count 65.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### STAT ###### size 27 ###### gpa 3.349790708103796 ###### top Share 62.94637491184082 ###### count 74 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### STAT ###### size 30 ###### gpa 3.4022744829589433 ###### top Share 67.29048111947832 ###### count 80.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### STAT ###### size 32 ###### gpa 3.4861059411832307 ###### top Share 71.46520654148341 ###### count 55.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### STAT ###### size 32 ###### gpa 3.4024781451477413 ###### top Share 66.63145704464162 ###### count 60.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ## instructor Trends ```json [ { "uid": "instructor_8e924d59a99dc4ba0b8501dc", "name": "ZHANG CHUNMING", "count": 376, "terms": [ { "term": "1082", "count": 23, "sections": 1, "gpa": 3.5 }, { "term": "1092", "count": 16, "sections": 1, "gpa": 3.375 }, { "term": "1102", "count": 21, "sections": 1, "gpa": 3.619047619047619 }, { "term": "1112", "count": 25, "sections": 1, "gpa": 3.34 }, { "term": "1122", "count": 23, "sections": 1, "gpa": 3.4565217391304346 }, { "term": "1132", "count": 26, "sections": 1, "gpa": 3.4423076923076925 }, { "term": "1142", "count": 26, "sections": 1, "gpa": 3.326923076923077 }, { "term": "1152", "count": 27, "sections": 1, "gpa": 3.4814814814814814 }, { "term": "1162", "count": 30, "sections": 1, "gpa": 3.466666666666667 }, { "term": "1172", "count": 14, "sections": 1, "gpa": 3.607142857142857 }, { "term": "1202", "count": 27, "sections": 1, "gpa": 3.537037037037037 }, { "term": "1212", "count": 27, "sections": 1, "gpa": 3.7037037037037037 }, { "term": "1232", "count": 29, "sections": 1, "gpa": 3.413793103448276 }, { "term": "1242", "count": 32, "sections": 1, "gpa": 3.46875 }, { "term": "1252", "count": 30, "sections": 1, "gpa": 3.4 } ] }, { "uid": "instructor_6ef6ba5b00788b0ab8154cde", "name": "JUN SHAO", "count": 121, "terms": [ { "term": "1152", "count": 28, "sections": 1, "gpa": 3.5535714285714284 }, { "term": "1162", "count": 45, "sections": 1, "gpa": 3.577777777777778 }, { "term": "1172", "count": 48, "sections": 1, "gpa": 3.5625 } ] }, { "uid": "instructor_a1a6312441a09a9ee137f7b1", "name": "GARVESH RASKUTTI", "count": 61, "terms": [ { "term": "1182", "count": 27, "sections": 1, "gpa": 3.6481481481481484 }, { "term": "1192", "count": 34, "sections": 1, "gpa": 3.338235294117647 } ] }, { "uid": "instructor_47603ce43b4df7855b782a91", "name": "PANDUAN AN", "count": 55, "terms": [ { "term": "1222", "count": 31, "sections": 1, "gpa": 3.629032258064516 }, { "term": "1252", "count": 13, "sections": 1, "gpa": 3.576923076923077 }, { "term": "1262", "count": 11, "sections": 2, "gpa": 3.4545454545454546 } ] }, { "uid": "instructor_776a80367ac941071d85ded3", "name": "DEREK BEAN", "count": 42, "terms": [ { "term": "1182", "count": 42, "sections": 1, "gpa": 3.5833333333333335 } ] }, { "uid": "instructor_b12e39754963266e67c2e708", "name": "KJELL DOKSUM", "count": 19, "terms": [ { "term": "1072", "count": 19, "sections": 1, "gpa": 3.5 } ] } ] ``` ## following | code | title | | -------------------- | --------------------------------------------------- | | BMI/STAT 643 | CLINICAL TRIAL DESIGN, IMPLEMENTATION, AND ANALYSIS | | ECON/GENBUS/STAT 775 | BAYESIAN STATISTICS | | MARKETNG 779 | BAYESIAN MACHINE LEARNING FOR MARKETING | | STAT 780 | INTRODUCTION TO QUANTUM DATA SCIENCE |