# MATH/STAT 709: Mathematical Statistics I | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_STAT_709) ## 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 6480d736dcfddede400eb540cf40a64783c477a6368648604b6df4ef90670dc9 ### course id MATH/STAT 709 ### course uid course\_3aa77a7c307c944aec9fad7e ### catalog version id eb887ece5485f24179cb2a2f9ee0e1aff9c26b13daa5ae08b947d9faffb068ef ### course number 709 ### subjects * MATH * STAT ### title MATHEMATICAL STATISTICS I ### description An introduction to measure theoretic probability, random variables, and high-dimensional statistics; conditional expectation, sufficiency, and unbiased estimation; methods of large sample theory including laws of large numbers and central limit theorems. ### requirements text Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, or Statistics Doctoral Minor ### credits min 4 ### credits max 4 ### credit offering ids * 1272:600:018491 * 1272:932:018491 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id a9fa6fc2e8bee9cf85ff080bcb0a71460f70893888a2a1cea45f98c0aecb4523 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Mathematical Statistics I introduces measure theoretic probability, high-dimensional statistics, and large sample theory methods. ### llm topics * Measure theoretic probability and random variables * High-dimensional statistics * Conditional expectation, sufficiency, and unbiased estimation * Large sample theory, laws of large numbers, and central limit theorems ### llm skills * Understanding measure theoretic probability and high-dimensional statistics * Applying concepts of conditional expectation, sufficiency, and unbiased estimation * Using methods of large sample theory, laws of large numbers, and central limit theorems ### llm assumed background None recorded. ### llm search phrases * measure theoretic probability * high-dimensional statistics * large sample theory * conditional expectation * sufficiency estimation ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 6f5821f32a76be38dd4444b8218ad1a161ad63740684d49c7f2b7d17eeb1373d #### course id MATH/STAT 709 #### current instructors ```json [ { "instructor_uid": "instructor_34dac25292e8958a6651bdb3", "message": "No course-specific reviews available", "name": "Yiqiao Zhong", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2889232", "summary": [ { "citations": [ { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.62 GPA, 85.7% A/AB (n=21 letter grades); Fall 2024: 3.67 GPA, 84.6% A/AB (n=26 letter grades); Fall 2025: 3.67 GPA, 86.7% A/AB (n=15 letter grades)." } ] } ] ``` #### difficulty workload Historical reviews of Yazhen Wang: Reviewers characterize the class as very hard, with a difficulty rating of 4. ```json { "citations": [ { "instructor_name": "Yazhen Wang", "review_date": "2015-12-22 23:21:16 +0000 UTC", "review_id": "22bc72c6931579219662a9a9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTI1ODA3Nzg4", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for instructor Yazhen Wang describe the course as very hard, yet praise his clear and intuitive explanations of difficult material. Reviewers found his tests to be fair and recommended taking his class if possible. ```json { "citations": [ { "instructor_name": "Yazhen Wang", "review_date": "2015-12-22 23:21:16 +0000 UTC", "review_id": "22bc72c6931579219662a9a9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTI1ODA3Nzg4", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews describe the course as very hard, though past instructor Yazhen Wang provided clear explanations and fair tests. ```json { "citations": [ { "instructor_name": "Yazhen Wang", "review_date": "2015-12-22 23:21:16 +0000 UTC", "review_id": "22bc72c6931579219662a9a9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTI1ODA3Nzg4", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.62 GPA, 85.7% A/AB (n=21 letter grades); Fall 2024: 3.67 GPA, 84.6% A/AB (n=26 letter grades); Fall 2025: 3.67 GPA, 86.7% A/AB (n=15 letter grades). ```json { "citations": [ { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Yazhen Wang: Past students found the material explained in a clear and intuitive way, with fair testing under instructor Yazhen Wang. ```json { "citations": [ { "instructor_name": "Yazhen Wang", "review_date": "2015-12-22 23:21:16 +0000 UTC", "review_id": "22bc72c6931579219662a9a9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1357778", "source_review_id": "UmF0aW5nLTI1ODA3Nzg4", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history YAZHEN WANG is recorded teaching in Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" } ] } ``` YIQIAO ZHONG 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": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MATH/STAT 709", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "source_record": { "entity_id": "3c3e968a-fb1d-3422-bc1f-73260bc31125", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, or Statistics Doctoral Minor", "id": "n0", "kind": "any" }, { "children": [], "condition": "Declared in Statistics MS", "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": "Statistics Doctoral Minor", "course": null, "evidence": "Statistics Doctoral Minor", "id": "n5", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_131fef9b33027ba6f3a897af", "source": "enrollment", "source_instructor_id": "fwang297", "identity_basis": "netid", "identity_status": "source_identified", "name": "Fuxin Wang", "email": "FWANG297@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/FUXIN_WANG" }, { "instructor_uid": "instructor_34dac25292e8958a6651bdb3", "source": "enrollment", "source_instructor_id": "zhong35", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yiqiao Zhong", "email": "YIQIAO.ZHONG@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": 1.89, "difficulty": 3.11, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2889232", "source_url": "https://www.ratemyprofessors.com/professor/2889232", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:42.523182+00:00", "courses": { "course_b9ca05f3e5db5af2eb30f64a": { "review_count": 9, "quality": 1.89, "difficulty": 3.11, "quality_count": 9, "difficulty_count": 9 } }, "bayesian_quality": 3.1104729541700653, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/YIQIAO_ZHONG" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:018491", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1272", "source_course_id": "018491", "source_subject_id": "600", "title": "Mathematical Statistics I", "credits_min": 4, "credits_max": 4, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:018491", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1272", "source_course_id": "018491", "source_subject_id": "932", "title": "Mathematical Statistics I", "credits_min": 4, "credits_max": 4, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27394", "term_id": "1272", "source_section_id": "27394", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27395", "term_id": "1272", "source_section_id": "27395", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34975", "term_id": "1272", "source_section_id": "34975", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 9, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34976", "term_id": "1272", "source_section_id": "34976", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 9, "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_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_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_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_028f5fb1497f12d2f925d786", "source": "madgrades", "source_instructor_id": "4695492", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YAZHEN 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": 10, "quality": 2.9, "difficulty": 3, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:1357778", "source_url": "https://www.ratemyprofessors.com/professor/1357778", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:01.601642+00:00", "courses": { "course_c3af14b05ef6845e7d2ecd4d": { "review_count": 2, "quality": 1, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_3aa77a7c307c944aec9fad7e": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_1282dc8dbc1e7c5749f7cc41": { "review_count": 1, "quality": 2, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_2a00c702ff402614a950606e": { "review_count": 3, "quality": 3.67, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 2, "quality": 2, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.4064571890310638, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.148, "graded": 908, "counts": [ 357, 96, 250, 18, 119, 61, 7 ], "sections": 64 }, "instructor_url": "/instructors/YAZHEN_WANG--instructor_028f5fb1497f12d2f925d786" }, { "instructor_uid": "instructor_ac7e746a7007300142d74289", "source": "madgrades", "source_instructor_id": "5329782", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIQIAO ZHONG", "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": 9, "quality": 1.89, "difficulty": 3.11, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2889232", "source_url": "https://www.ratemyprofessors.com/professor/2889232", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:42.523182+00:00", "courses": { "course_b9ca05f3e5db5af2eb30f64a": { "review_count": 9, "quality": 1.89, "difficulty": 3.11, "quality_count": 9, "difficulty_count": 9 } }, "bayesian_quality": 3.1104729541700653, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.674, "graded": 405, "counts": [ 198, 167, 35, 1, 2, 0, 2 ], "sections": 23 }, "instructor_url": "/instructors/YIQIAO_ZHONG--instructor_ac7e746a7007300142d74289" }, { "instructor_uid": "instructor_131fef9b33027ba6f3a897af", "source": "enrollment", "source_instructor_id": "fwang297", "identity_basis": "netid", "identity_status": "source_identified", "name": "Fuxin Wang", "email": "FWANG297@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/FUXIN_WANG" }, { "instructor_uid": "instructor_34dac25292e8958a6651bdb3", "source": "enrollment", "source_instructor_id": "zhong35", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yiqiao Zhong", "email": "YIQIAO.ZHONG@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": 1.89, "difficulty": 3.11, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2889232", "source_url": "https://www.ratemyprofessors.com/professor/2889232", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:42.523182+00:00", "courses": { "course_b9ca05f3e5db5af2eb30f64a": { "review_count": 9, "quality": 1.89, "difficulty": 3.11, "quality_count": 9, "difficulty_count": 9 } }, "bayesian_quality": 3.1104729541700653, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/YIQIAO_ZHONG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "Jun Shao" ], "a": 8, "ab": 2, "b": 4, "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": 15, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "Zheng Zhang" ], "a": 7, "ab": 7, "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": 19, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "KJELL DOKSUM" ], "a": 8, "ab": 8, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "Jun Shao" ], "a": 7, "ab": 6, "b": 6, "bc": 0, "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": 21, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Jun Shao" ], "a": 6, "ab": 6, "b": 8, "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": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "Yazhen Wang" ], "a": 8, "ab": 6, "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": 20, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Yazhen Wang" ], "a": 9, "ab": 1, "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": 15, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Yazhen Wang" ], "a": 11, "ab": 3, "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": 20, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Yazhen Wang" ], "a": 9, "ab": 4, "b": 4, "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": 19, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Yazhen Wang" ], "a": 8, "ab": 6, "b": 3, "bc": 1, "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": 19, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Jun Shao" ], "a": 8, "ab": 9, "b": 6, "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": 24, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Yazhen Wang" ], "a": 7, "ab": 10, "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": 23, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Jun Shao" ], "a": 9, "ab": 6, "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": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Zheng Zhang" ], "a": 8, "ab": 8, "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": 24, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", 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"other": 0, "total": 21, "source_aliases": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Yiqiao Zhong" ], "a": 13, "ab": 9, "b": 4, "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": [ "MATH/STAT 709" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 709", "course_uid": "course_3aa77a7c307c944aec9fad7e", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Yiqiao Zhong" ], "a": 7, "ab": 6, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "MATH/STAT 709" ] } ] ``` ### statistics #### gpa 3.565 #### graded 415 #### counts * 171 * 137 * 99 * 6 * 2 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_3aa77a7c307c944aec9fad7e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_3aa77a7c307c944aec9fad7e-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_3aa77a7c307c944aec9fad7e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_3aa77a7c307c944aec9fad7e-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_3aa77a7c307c944aec9fad7e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_3aa77a7c307c944aec9fad7e-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_3aa77a7c307c944aec9fad7e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_3aa77a7c307c944aec9fad7e-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_3aa77a7c307c944aec9fad7e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_3aa77a7c307c944aec9fad7e-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.5650602409638554 #### count 415 #### university ##### size 4146 ##### gpa Percentile 33 ##### count Percentile 69 ##### 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": "MATH", "comparison": { "size": 97, "gpaPercentile": 48, "countPercentile": 60, "medianCount": 297, "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": 31, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 48, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 63, "gpaPercentile": 48, "countPercentile": 55, "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 3.642857142857143 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1082 ##### term 1082 ##### gpa 3.526315789473684 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1092 ##### term 1092 ##### gpa 3.6666666666666665 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1102 ##### term 1102 ##### gpa 3.526315789473684 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1112 ##### term 1112 ##### gpa 3.4047619047619047 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1122 ##### term 1122 ##### gpa 3.55 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1132 ##### term 1132 ##### gpa 3.6333333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1142 ##### term 1142 ##### gpa 3.6 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1152 ##### term 1152 ##### gpa 3.473684210526316 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1162 ##### term 1162 ##### gpa 3.5833333333333335 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1172 ##### term 1172 ##### gpa 3.5434782608695654 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1182 ##### term 1182 ##### gpa 3.5217391304347827 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1192 ##### term 1192 ##### gpa 3.5217391304347827 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1202 ##### term 1202 ##### gpa 3.5 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1212 ##### term 1212 ##### gpa 3.5416666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1222 ##### term 1222 ##### gpa 3.4615384615384617 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1232 ##### term 1232 ##### gpa 3.7037037037037037 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1242 ##### term 1242 ##### gpa 3.619047619047619 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1252 ##### term 1252 ##### gpa 3.673076923076923 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1262 ##### term 1262 ##### gpa 3.6666666666666665 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | ### benchmarks #### all ##### school ###### size 4146 ###### gpa 3.655576857310451 ###### top Share 81.61127984016484 ###### count 193 ##### MATH ###### size 97 ###### gpa 3.5110850672888794 ###### top Share 72.940720357223 ###### count 297 ##### 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 ###### MATH ###### size 21 ###### gpa 2.878188611674867 ###### top Share 40.4748751710427 ###### count 115 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ###### 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 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ###### 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 ###### MATH ###### size 27 ###### gpa 2.936619140855453 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MATH ###### size 39 ###### gpa 3.1003216533236415 ###### top Share 50.01588968281552 ###### count 99 ###### 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 ###### MATH ###### size 40 ###### gpa 3.1467748801316944 ###### top Share 52.57847974231038 ###### count 90.5 ###### 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 ###### MATH ###### size 41 ###### gpa 3.3211331103538813 ###### top Share 59.85093623917685 ###### count 87 ###### 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 ###### MATH ###### size 39 ###### gpa 3.2083447119296955 ###### top Share 56.75007696473496 ###### count 63 ###### 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 ###### MATH ###### size 43 ###### gpa 3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ###### 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 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ###### 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 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ###### 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 ###### MATH ###### size 43 ###### gpa 3.2481769276584003 ###### top Share 56.325967864851854 ###### count 81 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ## instructor Trends ```json [ { "uid": "instructor_028f5fb1497f12d2f925d786", "name": "YAZHEN WANG", "count": 115, "terms": [ { "term": "1122", "count": 20, "sections": 1, "gpa": 3.55 }, { "term": "1132", "count": 15, "sections": 1, "gpa": 3.6333333333333333 }, { "term": "1142", "count": 20, "sections": 1, "gpa": 3.6 }, { "term": "1152", "count": 19, "sections": 1, "gpa": 3.473684210526316 }, { "term": "1162", "count": 18, "sections": 1, "gpa": 3.5833333333333335 }, { "term": "1182", "count": 23, "sections": 1, "gpa": 3.5217391304347827 } ] }, { "uid": "instructor_6ef6ba5b00788b0ab8154cde", "name": "JUN SHAO", "count": 100, "terms": [ { "term": "1072", "count": 14, "sections": 1, "gpa": 3.642857142857143 }, { "term": "1102", "count": 19, "sections": 1, "gpa": 3.526315789473684 }, { "term": "1112", "count": 21, "sections": 1, "gpa": 3.4047619047619047 }, { "term": "1172", "count": 23, "sections": 1, "gpa": 3.5434782608695654 }, { "term": "1192", "count": 23, "sections": 1, "gpa": 3.5217391304347827 } ] }, { "uid": "instructor_65cbac2c9da9e3d3236992ef", "name": "ZHENGJUN ZHANG", "count": 93, "terms": [ { "term": "1082", "count": 19, "sections": 1, "gpa": 3.526315789473684 }, { "term": "1202", "count": 24, "sections": 1, "gpa": 3.5 }, { "term": "1212", "count": 24, "sections": 1, "gpa": 3.5416666666666665 }, { "term": "1222", "count": 26, "sections": 1, "gpa": 3.4615384615384617 } ] }, { "uid": "instructor_ac7e746a7007300142d74289", "name": "YIQIAO ZHONG", "count": 89, "terms": [ { "term": "1232", "count": 27, "sections": 1, "gpa": 3.7037037037037037 }, { "term": "1242", "count": 21, "sections": 1, "gpa": 3.619047619047619 }, { "term": "1252", "count": 26, "sections": 1, "gpa": 3.673076923076923 }, { "term": "1262", "count": 15, "sections": 1, "gpa": 3.6666666666666665 } ] }, { "uid": "instructor_b12e39754963266e67c2e708", "name": "KJELL DOKSUM", "count": 18, "terms": [ { "term": "1092", "count": 18, "sections": 1, "gpa": 3.6666666666666665 } ] } ] ``` ## following | code | title | | -------------------- | -------------------------------------------- | | ECON/GENBUS/STAT 775 | BAYESIAN STATISTICS | | MARKETNG 779 | BAYESIAN MACHINE LEARNING FOR MARKETING | | MATH/STAT 710 | MATHEMATICAL STATISTICS II | | STAT 732 | LARGE SAMPLE THEORY OF STATISTICAL INFERENCE | | STAT 780 | INTRODUCTION TO QUANTUM DATA SCIENCE |