# STAT 615: Statistical Learning | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_615) ## 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 96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce ### course id STAT 615 ### course uid course\_a5f4446c2434cfcb1b7e6969 ### catalog version id 58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688 ### course number 615 ### subjects * STAT ### title STATISTICAL LEARNING ### description The development of a variety of mathematical theories and statistical concepts (1) to understand the properties of those models and methods used for the purpose of prediction from data or decision making from data, and (2) to criticize such models, methods and their consequences. Specifically, the theories and tools that will be developed will include complexity theory, Hilbert spaces, Gaussian processes, Variational Analysis, and concentration inequalities. ### requirements text Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:025356 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id cc598cca7a28d2533e6c61093d04aafcc76f0540acacc98ca78dae68f8bc0d84 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 615 develops mathematical theories and statistical concepts for understanding, predicting from, and criticizing data models. ### llm topics * Complexity theory * Hilbert spaces * Gaussian processes * Variational Analysis * Concentration inequalities ### llm skills * Understanding properties of models and methods for prediction and decision making * Criticizing models, methods, and their consequences ### llm assumed background None recorded. ### llm search phrases * statistical learning theory * prediction from data * decision making from data * complexity theory statistics * Hilbert spaces Gaussian processes * variational analysis concentration inequalities ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash ad0bdc292ca0a34d5ee0cbd97994e155ff147cf1fe0d153e318190bee57bdc1c #### course id STAT 615 #### current instructors ```json [ { "instructor_uid": "instructor_f44b89c80752cccf153d0b17", "message": "No course-specific reviews available", "name": "JIAQI Tang", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.43 GPA, 69.6% A/AB (n=23 letter grades); Fall 2025: 3.42 GPA, 77.8% A/AB (n=18 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_9a9d23bd68d5e518dce65eb2", "message": "No course-specific reviews available", "name": "Vivak Patel", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2630806", "summary": [ { "citations": [ { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" } ], "text": "Recent recorded grades — Spring 2020: 3.79 GPA, 92.9% A/AB (n=28 letter grades). Includes jointly taught sections." } ] } ] ``` #### 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 — Spring 2025: 3.43 GPA, 69.6% A/AB (n=23 letter grades); Fall 2025: 3.42 GPA, 77.8% A/AB (n=18 letter grades); Spring 2026: 3.17 GPA, 47.6% A/AB (n=21 letter grades). ```json { "citations": [ { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JIAQI TANG is recorded teaching in Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` VIVAK PATEL is recorded teaching in Spring 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 615", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "source_record": { "entity_id": "094af2ce-2d3b-367f-a342-4bed13e6d30b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4" ], "condition": null, "course": null, "evidence": "Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP", "id": "n0", "kind": "any" }, { "children": [], "condition": "Declared in Statistics", "course": null, "evidence": "Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP", "id": "n1", "kind": "condition" }, { "children": [], "condition": "Statistics and Data Science MS", "course": null, "evidence": "Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP", "id": "n2", "kind": "condition" }, { "children": [], "condition": "Data Science MS", "course": null, "evidence": "Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP", "id": "n3", "kind": "condition" }, { "children": [], "condition": "Data Engineering MS", "course": null, "evidence": "Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP", "id": "n4", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_f44b89c80752cccf153d0b17", "source": "enrollment", "source_instructor_id": "tang274", "identity_basis": "netid", "identity_status": "source_identified", "name": "JIAQI Tang", "email": "TANG274@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/JIAQI_TANG" }, { "instructor_uid": "instructor_9a9d23bd68d5e518dce65eb2", "source": "enrollment", "source_instructor_id": "vrpatel6", "identity_basis": "netid", "identity_status": "source_identified", "name": "Vivak Patel", "email": "VIVAK.PATEL@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": 28, "quality": 1.86, "difficulty": 4.39, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:2630806", "source_url": "https://www.ratemyprofessors.com/professor/2630806", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:56.176630+00:00", "courses": { "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 17, "quality": 1.41, "difficulty": 4.76, "quality_count": 17, "difficulty_count": 17 }, "course_0cdbe47e9cba33b1c1a28e66": { "review_count": 8, "quality": 2.62, "difficulty": 3.62, "quality_count": 8, "difficulty_count": 8 }, "course_c7c2e62609a7d096ae23e826": { "review_count": 3, "quality": 2.33, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 2.6098690764777484, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/VIVAK_PATEL" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:025356", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1272", "source_course_id": "025356", "source_subject_id": "932", "title": "Statistical Learning", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:33694", "term_id": "1272", "source_section_id": "33694", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 24, "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_5951e20faf5b184925475abf", "source": "madgrades", "source_instructor_id": "5885287", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUETIAN LUO", "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": 3.719, "graded": 160, "counts": [ 74, 82, 4, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/YUETIAN_LUO--instructor_5951e20faf5b184925475abf" }, { "instructor_uid": "instructor_8bbaf0e94ced306bd3b3c10a", "source": "madgrades", "source_instructor_id": "6176657", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NICOLAS GARCIA TRILLOS", "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": 3.599, "graded": 478, "counts": [ 297, 75, 56, 26, 16, 5, 3 ], "sections": 36 }, "instructor_url": "/instructors/NICOLAS_GARCIA_TRILLOS--instructor_8bbaf0e94ced306bd3b3c10a" }, { "instructor_uid": "instructor_b2acd3224dabe1427205a51f", "source": "madgrades", "source_instructor_id": "4369041", "identity_basis": "source_id", "identity_status": "source_identified", "name": "VIVAK PATEL", "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": 28, "quality": 1.86, "difficulty": 4.39, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:2630806", "source_url": "https://www.ratemyprofessors.com/professor/2630806", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:56.176630+00:00", "courses": { "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 17, "quality": 1.41, "difficulty": 4.76, "quality_count": 17, "difficulty_count": 17 }, "course_0cdbe47e9cba33b1c1a28e66": { "review_count": 8, "quality": 2.62, "difficulty": 3.62, "quality_count": 8, "difficulty_count": 8 }, "course_c7c2e62609a7d096ae23e826": { "review_count": 3, "quality": 2.33, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 2.6098690764777484, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.244, "graded": 565, "counts": [ 182, 174, 86, 46, 54, 15, 8 ], "sections": 38 }, "instructor_url": "/instructors/VIVAK_PATEL--instructor_b2acd3224dabe1427205a51f" }, { "instructor_uid": "instructor_f239799e8b1d244fb8b0f240", "source": "madgrades", "source_instructor_id": "6208535", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIXU LI", "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": 3.615, "graded": 394, "counts": [ 257, 44, 50, 23, 15, 5, 0 ], "sections": 13 }, "instructor_url": "/instructors/SIXU_LI--instructor_f239799e8b1d244fb8b0f240" }, { "instructor_uid": "instructor_f30e8350555180fff9693ecb", "source": "madgrades", "source_instructor_id": "6364128", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOHAM GHOSH", "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": 3.708, "graded": 12, "counts": [ 6, 5, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SOHAM_GHOSH--instructor_f30e8350555180fff9693ecb" }, { "instructor_uid": "instructor_f95d21b5d8ef9ee566511637", "source": "madgrades", "source_instructor_id": "6089199", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YULING YAN", "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": 3.491, "graded": 53, "counts": [ 20, 21, 9, 1, 1, 0, 1 ], "sections": 3 }, "instructor_url": "/instructors/YULING_YAN--instructor_f95d21b5d8ef9ee566511637" }, { "instructor_uid": "instructor_1676a4d1c40d5389fd3708fb", "source": "madgrades", "source_instructor_id": "6545155", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIAQI TANG", "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": 3.155, "graded": 100, "counts": [ 33, 21, 20, 8, 15, 0, 3 ], "sections": 3 }, "instructor_url": "/instructors/JIAQI_TANG--instructor_1676a4d1c40d5389fd3708fb" }, { "instructor_uid": "instructor_0b2119f22babc1389a02a8fa", "source": "madgrades", "source_instructor_id": "6487496", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HEYAN 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": 3.431, "graded": 116, "counts": [ 44, 36, 28, 4, 1, 0, 3 ], "sections": 4 }, "instructor_url": "/instructors/HEYAN_ZHANG--instructor_0b2119f22babc1389a02a8fa" }, { "instructor_uid": "instructor_9a9d23bd68d5e518dce65eb2", "source": "enrollment", "source_instructor_id": "vrpatel6", "identity_basis": "netid", "identity_status": "source_identified", "name": "Vivak Patel", "email": "VIVAK.PATEL@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": 28, "quality": 1.86, "difficulty": 4.39, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:2630806", "source_url": "https://www.ratemyprofessors.com/professor/2630806", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:56.176630+00:00", "courses": { "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 17, "quality": 1.41, "difficulty": 4.76, "quality_count": 17, "difficulty_count": 17 }, "course_0cdbe47e9cba33b1c1a28e66": { "review_count": 8, "quality": 2.62, "difficulty": 3.62, "quality_count": 8, "difficulty_count": 8 }, "course_c7c2e62609a7d096ae23e826": { "review_count": 3, "quality": 2.33, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 2.6098690764777484, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/VIVAK_PATEL" }, { "instructor_uid": "instructor_f44b89c80752cccf153d0b17", "source": "enrollment", "source_instructor_id": "tang274", "identity_basis": "netid", "identity_status": "source_identified", "name": "JIAQI Tang", "email": "TANG274@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/JIAQI_TANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Nicolas Garcia Trillos", "Vivak Patel", "YUETIAN LUO" ], "a": 52, "ab": 19, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 77, "source_aliases": [ "STAT 615" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Nicolas Garcia Trillos", "SIXU LI" ], "a": 50, "ab": 0, "b": 17, "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": 68, "source_aliases": [ "STAT 615" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Nicolas Garcia Trillos", "SIXU LI" ], "a": 43, "ab": 11, "b": 14, "bc": 7, "c": 5, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 82, "source_aliases": [ "STAT 615" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Nicolas Garcia Trillos", "SIXU LI" ], "a": 24, "ab": 8, "b": 4, "bc": 9, "c": 6, "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": 51, "source_aliases": [ "STAT 615" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "SOHAM GHOSH", "Yuling Yan" ], "a": 6, "ab": 5, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "STAT 615" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "JIAQI Tang", "Yuling Yan" ], "a": 5, "ab": 11, "b": 6, "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": 23, "source_aliases": [ "STAT 615" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "JIAQI Tang", "Yuling Yan" ], "a": 9, "ab": 5, "b": 2, "bc": 0, "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": 18, "source_aliases": [ "STAT 615" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 615", "course_uid": "course_a5f4446c2434cfcb1b7e6969", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Heyan Zhang", "Nicolas Garcia Trillos" ], "a": 8, "ab": 2, "b": 6, "bc": 3, "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": 21, "source_aliases": [ "STAT 615" ] } ] ``` ### statistics #### gpa 3.556 #### graded 349 #### counts * 197 * 61 * 53 * 21 * 13 * 2 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a5f4446c2434cfcb1b7e6969-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a5f4446c2434cfcb1b7e6969-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a5f4446c2434cfcb1b7e6969-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a5f4446c2434cfcb1b7e6969-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_a5f4446c2434cfcb1b7e6969-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_a5f4446c2434cfcb1b7e6969-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a5f4446c2434cfcb1b7e6969-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a5f4446c2434cfcb1b7e6969-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.555873925501433 #### count 349 #### university ##### size 4050 ##### gpa Percentile 25 ##### count Percentile 80 ##### median Count 113 ##### 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 | 11 | false | | 2.8–3.2 | 196 | false | | 3.2–3.6 | 977 | true | | 3.6–4.0 | 2866 | false | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 68, "gpaPercentile": 45, "countPercentile": 69, "medianCount": 152.5, "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": 26, "current": true }, { "range": "3.6–4.0", "count": 35, "current": false } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.831081081081081 ##### count 74 ##### university ###### size 1012 ###### gpa Percentile 63 ###### count Percentile 56 ###### median Count 65.5 ###### 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 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 69, "countPercentile": 62, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.7279411764705883 ##### count 68 ##### university ###### size 1171 ###### gpa Percentile 60 ###### count Percentile 52 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 77, "countPercentile": 42, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.4390243902439024 ##### count 82 ##### university ###### size 1188 ###### gpa Percentile 31 ###### count Percentile 59 ###### 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 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 50, "countPercentile": 63, "medianCount": 67, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.343137254901961 ##### count 51 ##### university ###### size 1241 ###### gpa Percentile 22 ###### count Percentile 37 ###### 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 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 39, "countPercentile": 32, "medianCount": 62, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.7083333333333335 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1254 ##### term 1254 ##### gpa 3.4347826086956523 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1262 ##### term 1262 ##### gpa 3.4166666666666665 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1264 ##### term 1264 ##### gpa 3.1666666666666665 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | ### benchmarks #### all ##### school ###### size 4050 ###### gpa 3.7047407348894286 ###### top Share 84.67625747397737 ###### count 113 ##### STAT ###### size 68 ###### gpa 3.587699793644241 ###### top Share 77.43705480137362 ###### count 152.5 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### STAT ###### size 27 ###### gpa 3.6537351147420534 ###### top Share 80.87794592686507 ###### count 56 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top Share 69.88606041738046 ###### count 74 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### STAT ###### size 25 ###### gpa 3.396227416481204 ###### top Share 66.8429997070879 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### STAT ###### size 29 ###### gpa 3.390846810323202 ###### top Share 64.2629736611174 ###### count 62 ##### 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 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### STAT ###### size 28 ###### gpa 3.4752654121860003 ###### top Share 68.35873780152826 ###### count 70 ##### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### STAT ###### size 26 ###### gpa 3.343399816676682 ###### top Share 63.23102425546245 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_8bbaf0e94ced306bd3b3c10a", "name": "NICOLAS GARCIA TRILLOS", "count": 268, "terms": [ { "term": "1204", "count": 46, "sections": 1, "gpa": 3.858695652173913 }, { "term": "1224", "count": 68, "sections": 2, "gpa": 3.7279411764705883 }, { "term": "1234", "count": 82, "sections": 2, "gpa": 3.4390243902439024 }, { "term": "1244", "count": 51, "sections": 2, "gpa": 3.343137254901961 }, { "term": "1264", "count": 21, "sections": 1, "gpa": 3.1666666666666665 } ] }, { "uid": "instructor_f239799e8b1d244fb8b0f240", "name": "SIXU LI", "count": 201, "terms": [ { "term": "1224", "count": 68, "sections": 2, "gpa": 3.7279411764705883 }, { "term": "1234", "count": 82, "sections": 2, "gpa": 3.4390243902439024 }, { "term": "1244", "count": 51, "sections": 2, "gpa": 3.343137254901961 } ] }, { "uid": "instructor_5951e20faf5b184925475abf", "name": "YUETIAN LUO", "count": 74, "terms": [ { "term": "1204", "count": 74, "sections": 2, "gpa": 3.831081081081081 } ] }, { "uid": "instructor_f95d21b5d8ef9ee566511637", "name": "YULING YAN", "count": 53, "terms": [ { "term": "1252", "count": 12, "sections": 1, "gpa": 3.7083333333333335 }, { "term": "1254", "count": 23, "sections": 1, "gpa": 3.4347826086956523 }, { "term": "1262", "count": 18, "sections": 1, "gpa": 3.4166666666666665 } ] }, { "uid": "instructor_1676a4d1c40d5389fd3708fb", "name": "JIAQI TANG", "count": 41, "terms": [ { "term": "1254", "count": 23, "sections": 1, "gpa": 3.4347826086956523 }, { "term": "1262", "count": 18, "sections": 1, "gpa": 3.4166666666666665 } ] }, { "uid": "instructor_b2acd3224dabe1427205a51f", "name": "VIVAK PATEL", "count": 28, "terms": [ { "term": "1204", "count": 28, "sections": 1, "gpa": 3.7857142857142856 } ] }, { "uid": "instructor_0b2119f22babc1389a02a8fa", "name": "HEYAN ZHANG", "count": 21, "terms": [ { "term": "1264", "count": 21, "sections": 1, "gpa": 3.1666666666666665 } ] }, { "uid": "instructor_f30e8350555180fff9693ecb", "name": "SOHAM GHOSH", "count": 12, "terms": [ { "term": "1252", "count": 12, "sections": 1, "gpa": 3.7083333333333335 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.475507836081253 ### grades | grade | percentage | | ----- | ------------------ | | A | 55.765928922548625 | | AB | 10.827041732326673 | | B | 15.369538459126153 | | BC | 10.417009666721547 | | C | 6.820801091328174 | | D | 0.7996801279488205 | | F | 0 | ### source Terms * 1244 * 1234 * 1224 ### source Count 201 ### same Season false ### historical Range * 3.3431372549019613 * 3.7279411764705883