# STAT 849: Advanced Statistical Methods | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_849) ## 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 07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee ### course id STAT 849 ### course uid course\_33ae6065fb867f7eec7ff60c ### catalog version id 62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb ### course number 849 ### subjects * STAT ### title ADVANCED STATISTICAL METHODS ### description Gain thorough grounding in modern statistical methods and theory. Classical and modern statistical techniques, including linear regression models, diagnostic tools, prediction, generalized linear regression models, random effect models, experimental design, and model selection. Apply these techniques to dataset in specific contexts. ### requirements text Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor ### credits min 4 ### credits max 4 ### credit offering ids * 1272:932:018524 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 4f661a6669a0216ada940bc7aea868b25520a0f79c9df1eec99ed554369885f9 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection. ### llm topics * Classical and modern statistical techniques * Linear regression models * Diagnostic tools * Prediction * Generalized linear regression models * Random effect models * Experimental design * Model selection ### llm skills * Apply statistical techniques to datasets in specific contexts ### llm assumed background None recorded. ### llm search phrases * advanced statistical methods * generalized linear models * random effect models * experimental design * model selection * STAT 849 prerequisites ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 2a296be23852b7e8c61b066b556d6a78ab8ac1e979dc89464ebbcc392d6c4ffd #### course id STAT 849 #### current instructors ```json [ { "instructor_uid": "instructor_c04e94be344db6b0ccd69f5f", "message": "No course-specific reviews available", "name": "Yinqiu He", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "source_record": { "entity_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "source_record": { "entity_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "source_record": { "entity_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.66 GPA, 88.0% A/AB (n=25 letter grades); Fall 2024: 3.52 GPA, 69.7% A/AB (n=33 letter grades); Fall 2025: 3.64 GPA, 85.7% A/AB (n=7 letter grades)." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2023: 3.66 GPA, 88.0% A/AB (n=25 letter grades); Fall 2024: 3.52 GPA, 69.7% A/AB (n=33 letter grades); Fall 2025: 3.64 GPA, 85.7% A/AB (n=7 letter grades). ```json { "citations": [ { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history YINQIU HE is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "source_record": { "entity_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "source_record": { "entity_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 849", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d26c070d-da84-3a1a-b0b1-edb7d2deeeb3", 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"condition": "Declared in", "course": null, "evidence": "Declared in Statistics MS", "id": "n1", "kind": "condition" }, { "children": [], "condition": "Statistics PhD", "course": null, "evidence": "Statistics PhD", "id": "n2", "kind": "condition" }, { "children": [], "condition": "Biomedical Data Science PhD", "course": null, "evidence": "Biomedical Data Science PhD", "id": "n3", "kind": "condition" }, { "children": [], "condition": "Biomedical Data Science MS", "course": null, "evidence": "Biomedical Data Science MS", "id": "n4", "kind": "condition" }, { "children": [], "condition": "Business PhD", "course": null, "evidence": "Business PhD", "id": "n5", "kind": "condition" }, { "children": [], "condition": "Statistics Doctoral Minor", "course": null, "evidence": "Statistics Doctoral Minor", "id": "n6", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | --------- | ------------------- | -------------------------------- | -------------------------------- | ----------------------- | | instructor\_07027329a8af468b4052cb84 | enrollment | xli2399 | netid | source\_identified | Xinyu Li | XINYU.LI\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/XINYU\_LI | | instructor\_c04e94be344db6b0ccd69f5f | enrollment | yhe225 | netid | source\_identified | Yinqiu He | YINQIU.HE\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/YINQIU\_HE | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:018524", "course_id": "STAT 849", "course_uid": 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Instruction", "capacity": 35, "enrolled": 11, "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_a37c0a0d4767f5a92e009e3f", "source": "madgrades", "source_instructor_id": "3801422", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUNDUZ KELES", "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": 2, "quality": 4, "difficulty": 4, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:1142647", "source_url": "https://www.ratemyprofessors.com/professor/1142647", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:24.281704+00:00", "courses": { "course_704c9a2365bd1c8bed22a552": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.690623439587814, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.407, "graded": 354, "counts": [ 136, 113, 62, 21, 11, 6, 5 ], "sections": 74 }, "instructor_url": "/instructors/SUNDUZ_KELES--instructor_a37c0a0d4767f5a92e009e3f" }, { "instructor_uid": "instructor_3ada7044de07e16f686058c1", "source": "madgrades", "source_instructor_id": "2602050", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DOUGLAS BATES", "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": 16, "quality": 2.75, "difficulty": 3.12, "quality_count": 16, "difficulty_count": 16, "profile_id": "rmp:383979", "source_url": "https://www.ratemyprofessors.com/professor/383979", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:13.901690+00:00", "courses": {}, "bayesian_quality": 3.2553809908592197, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.145, "graded": 567, "counts": [ 132, 125, 169, 93, 37, 4, 7 ], "sections": 15 }, "instructor_url": "/instructors/DOUGLAS_BATES" }, { "instructor_uid": "instructor_65cbac2c9da9e3d3236992ef", "source": "madgrades", "source_instructor_id": "4108525", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHENGJUN 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": 3.47, "graded": 1374, "counts": [ 541, 447, 245, 81, 44, 14, 2 ], "sections": 96 }, "instructor_url": "/instructors/ZHENGJUN_ZHANG--instructor_65cbac2c9da9e3d3236992ef" }, { "instructor_uid": "instructor_d71d94d8d290560564130e01", "source": "madgrades", "source_instructor_id": "2601926", "identity_basis": "source_id", 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"madgrades", "source_instructor_id": "321374", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUN ZHU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.543, "graded": 483, "counts": [ 178, 184, 110, 7, 4, 0, 0 ], "sections": 61 }, "instructor_url": "/instructors/JUN_ZHU--instructor_e15e1a245191e94e0325d0f0" }, { "instructor_uid": "instructor_1dadda4e80ccda3b00d60248", "source": "madgrades", "source_instructor_id": "3783301", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FANGFANG WANG", "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": 2, "quality": 3, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2346125", "source_url": "https://www.ratemyprofessors.com/professor/2346125", "match_basis": "exact_name", "observed_at": "2026-09-07 16:39:23.508204+00:00", "courses": { "course_8f1b73751758944263fbb9e1": { "review_count": 2, "quality": 3, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.5997143486787233, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.565, "graded": 201, "counts": [ 84, 76, 30, 7, 3, 1, 0 ], "sections": 6 }, "instructor_url": "/instructors/FANGFANG_WANG" }, { "instructor_uid": "instructor_37a7f7533ff672c5e16425d1", "source": "madgrades", "source_instructor_id": "4728474", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MIAOYAN WANG", "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": 3.627, "graded": 272, "counts": [ 118, 111, 42, 0, 0, 0, 1 ], "sections": 22 }, "instructor_url": "/instructors/MIAOYAN_WANG--instructor_37a7f7533ff672c5e16425d1" }, { "instructor_uid": "instructor_886411200bdd2835bcd94a44", "source": "madgrades", "source_instructor_id": "5690236", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YINQIU HE", "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": 3.522, "graded": 245, "counts": [ 91, 92, 47, 12, 3, 0, 0 ], "sections": 14 }, "instructor_url": "/instructors/YINQIU_HE--instructor_886411200bdd2835bcd94a44" }, { "instructor_uid": "instructor_07027329a8af468b4052cb84", "source": "enrollment", "source_instructor_id": "xli2399", "identity_basis": "netid", "identity_status": "source_identified", "name": "Xinyu Li", "email": "XINYU.LI@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/XINYU_LI" }, { "instructor_uid": "instructor_c04e94be344db6b0ccd69f5f", "source": "enrollment", "source_instructor_id": "yhe225", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yinqiu He", "email": "YINQIU.HE@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/YINQIU_HE" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "Sunduz Keles" ], "a": 9, "ab": 10, "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": 20, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "Sunduz Keles" ], "a": 12, "ab": 10, "b": 10, "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": 34, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "Sunduz Keles" ], "a": 11, "ab": 10, "b": 5, "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 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "Sunduz Keles" ], "a": 11, "ab": 11, "b": 13, "bc": 0, "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": 37, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "DOUGLAS BATES" ], "a": 16, "ab": 10, "b": 8, "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": 36, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "Zheng Zhang" ], "a": 5, "ab": 15, "b": 8, "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": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Zheng Zhang" ], "a": 11, "ab": 16, "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": 34, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Zheng Zhang" ], "a": 12, "ab": 11, "b": 7, "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": 31, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Richard Chappell" ], "a": 36, "ab": 3, "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": 42, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Richard Chappell" ], "a": 37, "ab": 3, "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": 0, "other": 0, "total": 45, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Jun Zhu" ], "a": 13, "ab": 10, "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": 0, "other": 0, "total": 28, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "FANGFANG WANG" ], "a": 17, "ab": 14, "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": 34, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "FANGFANG WANG" ], "a": 7, "ab": 16, "b": 8, "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": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Miaoyan Wang" ], "a": 8, "ab": 7, "b": 8, "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 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Miaoyan Wang" ], "a": 8, "ab": 9, "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": 1, "other": 0, "total": 20, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Miaoyan Wang" ], "a": 13, "ab": 11, "b": 5, "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": 30, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Yinqiu He" ], "a": 12, "ab": 11, "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": 26, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Yinqiu He" ], "a": 11, "ab": 11, "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": 25, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Yinqiu He" ], "a": 11, "ab": 12, "b": 10, "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": 33, "source_aliases": [ "STAT 849" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 849", "course_uid": "course_33ae6065fb867f7eec7ff60c", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Yinqiu He" ], "a": 3, "ab": 3, "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": 7, "source_aliases": [ "STAT 849" ] } ] ``` ### statistics #### gpa 3.61 #### graded 589 #### counts * 263 * 203 * 115 * 6 * 2 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_33ae6065fb867f7eec7ff60c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_33ae6065fb867f7eec7ff60c-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_33ae6065fb867f7eec7ff60c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_33ae6065fb867f7eec7ff60c-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_33ae6065fb867f7eec7ff60c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_33ae6065fb867f7eec7ff60c-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_33ae6065fb867f7eec7ff60c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_33ae6065fb867f7eec7ff60c-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6103565365025467 #### count 589 #### university ##### size 4146 ##### gpa Percentile 38 ##### count Percentile 77 ##### 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 | false | | 3.6–4.0 | 2625 | true | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 63, "gpaPercentile": 55, "countPercentile": 65, "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": false }, { "range": "3.6–4.0", "count": 30, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.7 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1082 ##### term 1082 ##### gpa 3.4705882352941178 ##### count 34 ##### university ###### size 723 ###### gpa Percentile 62 ###### count Percentile 11 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | true | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 11, "medianCount": 66.5, "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": 2, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.574074074074074 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1102 ##### term 1102 ##### gpa 3.391891891891892 ##### count 37 ##### university ###### size 774 ###### gpa Percentile 55 ###### count Percentile 14 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 64, "countPercentile": 14, "medianCount": 72, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.5555555555555554 ##### count 36 ##### university ###### size 805 ###### gpa Percentile 67 ###### count Percentile 14 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 85, "countPercentile": 15, "medianCount": 68.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.4464285714285716 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1132 ##### term 1132 ##### gpa 3.5588235294117645 ##### count 34 ##### university ###### size 851 ###### gpa Percentile 64 ###### count Percentile 8 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 87, "countPercentile": 0, "medianCount": 72, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.5483870967741935 ##### count 31 ##### university ###### size 853 ###### gpa Percentile 65 ###### count Percentile 2 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 0, "medianCount": 44.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.892857142857143 ##### count 42 ##### university ###### size 918 ###### gpa Percentile 89 ###### count Percentile 23 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 100, "countPercentile": 16, "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": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.8555555555555556 ##### count 45 ##### university ###### size 954 ###### gpa Percentile 86 ###### count Percentile 28 ###### 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 | false | | 3.6–4.0 | 345 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 96, "countPercentile": 35, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.642857142857143 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1182 ##### term 1182 ##### gpa 3.7058823529411766 ##### count 34 ##### university ###### size 1025 ###### gpa Percentile 69 ###### count Percentile 6 ###### 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": 83, "countPercentile": 0, "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 3.4838709677419355 ##### count 31 ##### university ###### size 1077 ###### gpa Percentile 44 ###### count Percentile 2 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 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": 69, "countPercentile": 4, "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 3.5 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1212 ##### term 1212 ##### gpa 3.6578947368421053 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1222 ##### term 1222 ##### gpa 3.6379310344827585 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1232 ##### term 1232 ##### gpa 3.673076923076923 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1242 ##### term 1242 ##### gpa 3.66 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1252 ##### term 1252 ##### gpa 3.515151515151515 ##### count 33 ##### university ###### size 1333 ###### gpa Percentile 33 ###### count Percentile 7 ###### 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": 58, "countPercentile": 10, "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 3.642857142857143 ##### count 7 ##### 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_a37c0a0d4767f5a92e009e3f", "name": "SUNDUZ KELES", "count": 118, "terms": [ { "term": "1072", "count": 20, "sections": 1, "gpa": 3.7 }, { "term": "1082", "count": 34, "sections": 1, "gpa": 3.4705882352941178 }, { "term": "1092", "count": 27, "sections": 1, "gpa": 3.574074074074074 }, { "term": "1102", "count": 37, "sections": 1, "gpa": 3.391891891891892 } ] }, { "uid": "instructor_65cbac2c9da9e3d3236992ef", "name": "ZHENGJUN ZHANG", "count": 93, "terms": [ { "term": "1122", "count": 28, "sections": 1, "gpa": 3.4464285714285716 }, { "term": "1132", "count": 34, "sections": 1, "gpa": 3.5588235294117645 }, { "term": "1142", "count": 31, "sections": 1, "gpa": 3.5483870967741935 } ] }, { "uid": "instructor_886411200bdd2835bcd94a44", "name": "YINQIU HE", "count": 91, "terms": [ { "term": "1232", "count": 26, "sections": 1, "gpa": 3.673076923076923 }, { "term": "1242", "count": 25, "sections": 1, "gpa": 3.66 }, { "term": "1252", "count": 33, "sections": 1, "gpa": 3.515151515151515 }, { "term": "1262", "count": 7, "sections": 1, "gpa": 3.642857142857143 } ] }, { "uid": "instructor_d71d94d8d290560564130e01", "name": "RICHARD CHAPPELL", "count": 87, "terms": [ { "term": "1152", "count": 42, "sections": 1, "gpa": 3.892857142857143 }, { "term": "1162", "count": 45, "sections": 1, "gpa": 3.8555555555555556 } ] }, { "uid": "instructor_37a7f7533ff672c5e16425d1", "name": "MIAOYAN WANG", "count": 71, "terms": [ { "term": "1202", "count": 23, "sections": 1, "gpa": 3.5 }, { "term": "1212", "count": 19, "sections": 1, "gpa": 3.6578947368421053 }, { "term": "1222", "count": 29, "sections": 1, "gpa": 3.6379310344827585 } ] }, { "uid": "instructor_1dadda4e80ccda3b00d60248", "name": "FANGFANG WANG", "count": 65, "terms": [ { "term": "1182", "count": 34, "sections": 1, "gpa": 3.7058823529411766 }, { "term": "1192", "count": 31, "sections": 1, "gpa": 3.4838709677419355 } ] }, { "uid": "instructor_3ada7044de07e16f686058c1", "name": "DOUGLAS BATES", "count": 36, "terms": [ { "term": "1112", "count": 36, "sections": 1, "gpa": 3.5555555555555554 } ] }, { "uid": "instructor_e15e1a245191e94e0325d0f0", "name": "JUN ZHU", "count": 28, "terms": [ { "term": "1172", "count": 28, "sections": 1, "gpa": 3.642857142857143 } ] } ] ``` ## following None recorded.