# STAT 610: Introduction to Statistical Inference | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_610) ## 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 d8fa5ee02a8786334a8aa495a2e24be33c3c094447ba9fba401ca18d8cb2dace ### course id STAT 610 ### course uid course\_2c47f118c8b20b84e9ca9d5d ### catalog version id b7766901848025946c7a6870e9377a7536b64e7060b6e6aef185f2ea52069714 ### course number 610 ### subjects * STAT ### title INTRODUCTION TO STATISTICAL INFERENCE ### description Conditioning, distribution theory, approximation to distributions, modes of convergence, limit theorems, statistical models, parameter estimation, comparision of estimators, confidence sets, theory of hypothesis tests, introduction to Bayesian inference and nonparametric estimation. ### requirements text Graduate/professional standing or declared in Statistics VISP ### credits min 4 ### credits max 4 ### credit offering ids * 1272:932:018478 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id ec8060d4443b8423140625853d068dd2591d62f3342c8316b8c7753b033aa3d1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 610 introduces statistical inference, covering distribution theory, limit theorems, parameter estimation, hypothesis testing, Bayesian inference, and nonparametric estimation. ### llm topics * Distribution theory, convergence, and limit theorems. * Statistical models, estimation, and confidence sets. * Theory of hypothesis tests. * Bayesian inference and nonparametric estimation. ### llm skills * Parameter estimation techniques. * Comparing statistical estimators. * Constructing confidence sets. * Theory of hypothesis tests. * Introduction to Bayesian inference. * Nonparametric estimation methods. ### llm assumed background * Graduate standing or declaration in the Statistics VISP program. ### llm search phrases * statistical inference graduate course * STAT 610 distribution theory * parameter estimation confidence sets * Bayesian inference nonparametric estimation ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash d875b92501dbbe7c960422f111281fc4294def493528bdcacd6a241064f330fb #### course id STAT 610 #### current instructors ```json [ { "instructor_uid": "instructor_abeac1469597629693634b82", "message": "No course-specific reviews available", "name": "Jun Shao", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ], "text": "Recent recorded grades — Fall 2021: 3.53 GPA, 70.6% A/AB (n=17 letter grades); Fall 2022: 3.60 GPA, 76.2% A/AB (n=21 letter grades); Spring 2024: 3.59 GPA, 72.7% A/AB (n=11 letter grades)." } ] } ] ``` #### difficulty workload Historical reviews of Wei-Yin Loh: Assignments and exams are described as too tricky, with a useless textbook even for open-book exams, potentially causing students to quit before mid-term. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2019-11-01 05:59:19 +0000 UTC", "review_id": "bfc955770c1ee7d4dd0ed4c3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTMyMzQ0OTM3", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` #### errors None recorded. #### historical context Jun Shao is the current instructor. Historical reviews for Wei-Yin Loh describe an amiable professor who shares stories and teaches from first principles, but note that homework and exams are tricky and the textbook is useless. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2019-11-01 05:59:19 +0000 UTC", "review_id": "bfc955770c1ee7d4dd0ed4c3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTMyMzQ0OTM3", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews for Wei-Yin Loh describe a friendly instructor who uses unique problem-solving views, but warn that homework and exams are tricky and the textbook is useless. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2019-11-01 05:59:19 +0000 UTC", "review_id": "bfc955770c1ee7d4dd0ed4c3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTMyMzQ0OTM3", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` Recent recorded grades — Fall 2024: 3.52 GPA, 69.0% A/AB (n=29 letter grades); Spring 2025: 3.33 GPA, 65.4% A/AB (n=26 letter grades); Fall 2025: 3.29 GPA, 62.5% A/AB (n=24 letter grades). ```json { "citations": [ { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Wei-Yin Loh: The professor is amiable and shares stories, but missing several classes may lead to failure due to the course's demanding nature. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2019-11-01 05:59:19 +0000 UTC", "review_id": "bfc955770c1ee7d4dd0ed4c3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTMyMzQ0OTM3", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JUN SHAO is recorded teaching in Spring 2015, Fall 2021, Fall 2022, Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "STAT 610", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "source_record": { "entity_id": "7acd1a64-1c53-36d6-bbf3-7770e0ec52aa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing or declared in Statistics VISP", "course": null, "evidence": "Graduate/professional standing or declared in Statistics VISP", "id": "n0", "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\_abeac1469597629693634b82 | enrollment | jshao | netid | source\_identified | Jun Shao | SHAO\@STAT.WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/JUN\_SHAO | | instructor\_5beba5d1403668fc5d2f1fec | enrollment | xlei35 | netid | source\_identified | Xiaoyu Lei | XLEI35\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/XIAOYU\_LEI | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 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"class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 8, "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_f371fd2a28dcb497f02e3fc5", "source": "madgrades", "source_instructor_id": "2601916", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL NEWTON", "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": 3.776, "graded": 441, "counts": [ 285, 120, 31, 4, 1, 0, 0 ], "sections": 67 }, "instructor_url": "/instructors/MICHAEL_NEWTON--instructor_f371fd2a28dcb497f02e3fc5" }, { "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", 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15:55:43.033547+00:00", "ratings": { "review_count": 6, "quality": 2.5, "difficulty": 3.5, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:2835627", "source_url": "https://www.ratemyprofessors.com/professor/2835627", "match_basis": "exact_name", "observed_at": "2026-09-07 16:30:08.006263+00:00", "courses": { "course_821b8b9c055e8ecd0e25a516": { "review_count": 1, "quality": 5, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.392065987343535, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.533, "graded": 224, "counts": [ 88, 77, 51, 6, 1, 0, 1 ], "sections": 19 }, "instructor_url": "/instructors/JOSHUA_CAPE--instructor_4e3d02c381227810f056d301" }, { "instructor_uid": "instructor_047948177658c2ff48eaa84f", "source": "madgrades", "source_instructor_id": "6489322", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEJANDRA QUINTOS LIMA", "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": 3.533, "graded": 106, "counts": [ 60, 17, 14, 10, 3, 2, 0 ], "sections": 11 }, "instructor_url": "/instructors/ALEJANDRA_QUINTOS_LIMA--instructor_047948177658c2ff48eaa84f" }, { "instructor_uid": "instructor_5beba5d1403668fc5d2f1fec", "source": "enrollment", "source_instructor_id": "xlei35", "identity_basis": "netid", "identity_status": "source_identified", "name": "Xiaoyu Lei", "email": "XLEI35@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/XIAOYU_LEI" }, { "instructor_uid": "instructor_abeac1469597629693634b82", "source": "enrollment", "source_instructor_id": "jshao", "identity_basis": "netid", "identity_status": "source_identified", "name": "Jun Shao", "email": "SHAO@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", "instructor_url": "/instructors/JUN_SHAO" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 610", "course_uid": "course_2c47f118c8b20b84e9ca9d5d", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "Michael Newton" ], "a": 12, "ab": 6, "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": 19, "source_aliases": [ "STAT 610" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 610", "course_uid": "course_2c47f118c8b20b84e9ca9d5d", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "ZHANG CHUNMING" ], "a": 6, "ab": 7, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 1, 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"term_name": "Spring 2025", "instructors": [ "PANDUAN AN", "ZHANG CHUNMING" ], "a": 9, "ab": 8, "b": 5, "bc": 3, "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 610" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 610", "course_uid": "course_2c47f118c8b20b84e9ca9d5d", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ZHANG CHUNMING" ], "a": 9, "ab": 6, "b": 5, "bc": 2, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "STAT 610" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 610", "course_uid": "course_2c47f118c8b20b84e9ca9d5d", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "ZHANG CHUNMING" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "STAT 610" ] } ] ``` ### statistics #### gpa 3.573 #### graded 990 #### counts * 414 * 360 * 184 * 24 * 4 * 1 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_2c47f118c8b20b84e9ca9d5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_2c47f118c8b20b84e9ca9d5d-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_2c47f118c8b20b84e9ca9d5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_2c47f118c8b20b84e9ca9d5d-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_2c47f118c8b20b84e9ca9d5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_2c47f118c8b20b84e9ca9d5d-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_2c47f118c8b20b84e9ca9d5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_2c47f118c8b20b84e9ca9d5d-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_2c47f118c8b20b84e9ca9d5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_2c47f118c8b20b84e9ca9d5d-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## instructor Trends ```json [ { "uid": "instructor_8e924d59a99dc4ba0b8501dc", "name": "ZHANG CHUNMING", "count": 235, "terms": [ { "term": "1084", "count": 16, "sections": 1, "gpa": 3.40625 }, { "term": "1094", "count": 9, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1114", "count": 20, "sections": 1, "gpa": 3.625 }, { "term": "1124", "count": 22, "sections": 1, "gpa": 3.3863636363636362 }, { "term": "1134", "count": 22, "sections": 1, "gpa": 3.6363636363636362 }, { "term": "1144", "count": 20, "sections": 1, "gpa": 3.675 }, { "term": "1174", "count": 18, "sections": 1, "gpa": 3.4722222222222223 }, { "term": "1184", "count": 20, "sections": 1, "gpa": 3.6 }, { "term": "1192", "count": 47, "sections": 1, "gpa": 3.4680851063829787 }, { "term": "1254", "count": 17, "sections": 1, "gpa": 3.4705882352941178 }, { "term": "1262", "count": 24, "sections": 1, "gpa": 3.2916666666666665 } ] }, { "uid": "instructor_776a80367ac941071d85ded3", "name": "DEREK BEAN", "count": 188, "terms": [ { "term": "1154", "count": 28, "sections": 1, "gpa": 3.625 }, { "term": "1164", "count": 71, "sections": 2, "gpa": 3.584507042253521 }, { "term": "1174", "count": 47, "sections": 1, "gpa": 3.4148936170212765 }, { "term": "1184", "count": 42, "sections": 1, "gpa": 3.5833333333333335 } ] }, { "uid": "instructor_9ccfca7f6342a0641304379e", "name": "ANRU ZHANG", "count": 133, "terms": [ { "term": "1194", "count": 34, "sections": 1, "gpa": 3.735294117647059 }, { "term": "1202", "count": 81, "sections": 2, "gpa": 3.6790123456790123 }, { "term": "1204", "count": 18, "sections": 1, "gpa": 3.6666666666666665 } ] }, { "uid": "instructor_47603ce43b4df7855b782a91", "name": "PANDUAN AN", "count": 124, "terms": [ { "term": "1224", "count": 55, "sections": 2, "gpa": 3.6 }, { "term": "1234", "count": 39, "sections": 2, "gpa": 3.576923076923077 }, { "term": "1244", "count": 21, "sections": 1, "gpa": 3.4761904761904763 }, { "term": "1254", "count": 9, "sections": 1, "gpa": 3.0555555555555554 } ] }, { "uid": "instructor_4e3d02c381227810f056d301", "name": "JOSHUA CAPE", "count": 93, "terms": [ { "term": "1232", "count": 37, "sections": 1, "gpa": 3.527027027027027 }, { "term": "1242", "count": 27, "sections": 1, "gpa": 3.6296296296296298 }, { "term": "1252", "count": 29, "sections": 1, "gpa": 3.5172413793103448 } ] }, { "uid": "instructor_8bbaf0e94ced306bd3b3c10a", "name": "NICOLAS GARCIA TRILLOS", "count": 86, "terms": [ { "term": "1192", "count": 31, "sections": 1, "gpa": 3.629032258064516 }, { "term": "1212", "count": 22, "sections": 1, "gpa": 3.6818181818181817 }, { "term": "1222", "count": 33, "sections": 1, "gpa": 3.878787878787879 } ] }, { "uid": "instructor_6ef6ba5b00788b0ab8154cde", "name": "JUN SHAO", "count": 76, "terms": [ { "term": "1154", "count": 27, "sections": 1, "gpa": 3.4444444444444446 }, { "term": "1222", "count": 17, "sections": 1, "gpa": 3.5294117647058822 }, { "term": "1232", "count": 21, "sections": 1, "gpa": 3.5952380952380953 }, { "term": "1244", "count": 11, "sections": 1, "gpa": 3.590909090909091 } ] }, { "uid": "instructor_f371fd2a28dcb497f02e3fc5", "name": "MICHAEL NEWTON", "count": 37, "terms": [ { "term": "1074", "count": 19, "sections": 1, "gpa": 3.789473684210526 }, { "term": "1104", "count": 18, "sections": 1, "gpa": 3.6944444444444446 } ] }, { "uid": "instructor_047948177658c2ff48eaa84f", "name": "ALEJANDRA QUINTOS LIMA", "count": 18, "terms": [ { "term": "1242", "count": 18, "sections": 1, "gpa": 3.2222222222222223 } ] } ] ``` ## following | code | title | | -------------------- | ----------------------------------------------------- | | BMI/STAT 643 | CLINICAL TRIAL DESIGN, IMPLEMENTATION, AND ANALYSIS | | BMI/STAT 727 | THEORY AND METHODS OF LONGITUDINAL DATA ANALYSIS | | ECON/GENBUS/STAT 775 | BAYESIAN STATISTICS | | STAT 732 | LARGE SAMPLE THEORY OF STATISTICAL INFERENCE | | STAT 760 | MULTIVARIATE ANALYSIS I | | STAT 780 | INTRODUCTION TO QUANTUM DATA SCIENCE | | STAT 841 | NONPARAMETRIC STATISTICS AND MACHINE LEARNING METHODS |