# MATH/STAT 734: Theory of Probability II | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_STAT_734) ## 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 932e240bffaf41a917a063a8ad6d5d8794510b45b1ed399efc89a6c43afee3b6 ### course id MATH/STAT 734 ### course uid course\_436b4b4087325a19ccd87bd6 ### catalog version id 064473efc0774593b61b2d8ecdbc597b1f027f6af43cb9c0c7641678d6742c75 ### course number 734 ### subjects * MATH * STAT ### title THEORY OF PROBABILITY II ### description Possible topics include martingales, weak convergence of measures, introduction to Brownian motion. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 0c15c569b6277da96da95a1c8de969ece6b01e4a8a8476fa55042f097f966226 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Theory of Probability II covers advanced topics including martingales, weak convergence of measures, and Brownian motion. ### llm topics * Martingales * Weak convergence of measures * Brownian motion ### llm skills * Understanding martingales and weak convergence of measures. * Introduction to Brownian motion. ### llm assumed background * Assumes completion of Theory of Probability I or equivalent graduate-level probability foundation. ### llm search phrases * martingales * weak convergence of measures * Brownian motion * advanced probability theory * graduate probability ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 9693c14d2ebd1de1d01f18834857fe3eef81559ba72fe90fd1905aaaba67c08a #### course id MATH/STAT 734 #### current instructors None recorded. #### difficulty workload Historical reviews of Benedek Valko: Homework is reported as too easy and infrequent, with one reviewer wishing for greater difficulty and more frequent weekly assignments. ```json { "citations": [ { "instructor_name": "Benedek Valko", "review_date": "2021-11-06 18:37:21 +0000 UTC", "review_id": "f6734068f8ab596f390dfe5e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1566085", "source_review_id": "UmF0aW5nLTM1MjAwMzA2", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Benedek Valko: Benedek Valko is described as an amazing and highly recommended professor who provides clear explanations and discusses interesting materials beyond the textbook. However, one reviewer notes that he skips careful treatments found in standard texts like Durrett and assigns homework that is too easy and infrequent. ```json { "citations": [ { "instructor_name": "Benedek Valko", "review_date": "2014-02-22 19:37:18 +0000 UTC", "review_id": "02abb480cf316adb566283d0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1566085", "source_review_id": "UmF0aW5nLTIyODU5NzE0", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "type": "review" }, { "instructor_name": "Benedek Valko", "review_date": "2016-02-26 18:33:37 +0000 UTC", "review_id": "d61e3cb8d8b3261d17b71b7a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1566085", "source_review_id": "UmF0aW5nLTI2MDkyMDQ3", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "type": "review" }, { "instructor_name": "Benedek Valko", "review_date": "2021-11-06 18:37:21 +0000 UTC", "review_id": "f6734068f8ab596f390dfe5e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1566085", "source_review_id": "UmF0aW5nLTM1MjAwMzA2", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Benedek Valko: Benedek Valko is highly recommended by students, with reviews describing him as an amazing and favorite professor who provides clear explanations. ```json { "citations": [ { "instructor_name": "Benedek Valko", "review_date": "2014-02-22 19:37:18 +0000 UTC", "review_id": "02abb480cf316adb566283d0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1566085", "source_review_id": "UmF0aW5nLTIyODU5NzE0", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "type": "review" }, { "instructor_name": "Benedek Valko", "review_date": "2016-02-26 18:33:37 +0000 UTC", "review_id": "d61e3cb8d8b3261d17b71b7a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1566085", "source_review_id": "UmF0aW5nLTI2MDkyMDQ3", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "type": "review" }, { "instructor_name": "Benedek Valko", "review_date": "2021-11-06 18:37:21 +0000 UTC", "review_id": "f6734068f8ab596f390dfe5e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1566085", "source_review_id": "UmF0aW5nLTM1MjAwMzA2", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.66 GPA, 73.7% A/AB (n=38 letter grades); Spring 2025: 3.96 GPA, 96.4% A/AB (n=28 letter grades); Spring 2026: 3.45 GPA, 84.2% A/AB (n=19 letter grades). ```json { "citations": [ { "course_id": "MATH/STAT 734", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "05ebd965-7e88-31d2-a90e-c5db8ab1a097", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MATH/STAT 734", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "05ebd965-7e88-31d2-a90e-c5db8ab1a097", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH/STAT 734", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "05ebd965-7e88-31d2-a90e-c5db8ab1a097", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Benedek Valko: Students appreciate interesting materials outside textbooks, though some find the treatment of measure-theoretic concepts insufficient compared to standard texts like Durrett. ```json { "citations": [ { "instructor_name": "Benedek Valko", "review_date": "2021-11-06 18:37:21 +0000 UTC", "review_id": "f6734068f8ab596f390dfe5e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1566085", "source_review_id": "UmF0aW5nLTM1MjAwMzA2", "source_url": "https://www.ratemyprofessors.com/professor/1566085", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history BENEDEK VALKO is recorded teaching in Spring 2014, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 734", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "05ebd965-7e88-31d2-a90e-c5db8ab1a097", "source_record": { "entity_id": "05ebd965-7e88-31d2-a90e-c5db8ab1a097", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MATH/STAT 734", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "05ebd965-7e88-31d2-a90e-c5db8ab1a097", "source_record": { "entity_id": "05ebd965-7e88-31d2-a90e-c5db8ab1a097", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": 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"difficulty_count": 1, "profile_id": "rmp:2778335", "source_url": "https://www.ratemyprofessors.com/professor/2778335", "match_basis": "exact_name", "observed_at": "2026-09-07 16:00:21.533491+00:00", "courses": { "course_e0a93fa3466c39b6802e52a7": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.675891222425329, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.366, "graded": 127, "counts": [ 49, 35, 25, 10, 3, 3, 2 ], "sections": 7 }, "instructor_url": "/instructors/VADIM_GORIN" }, { "instructor_uid": "instructor_74c5f2722d98d13de18c1d20", "source": "madgrades", "source_instructor_id": "4308515", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID ANDERSON", "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": 3.068, "graded": 1195, "counts": [ 473, 139, 243, 78, 151, 62, 49 ], "sections": 36 }, "instructor_url": "/instructors/DAVID_ANDERSON--instructor_74c5f2722d98d13de18c1d20" }, { "instructor_uid": "instructor_cb5593042198a18e4ec56a1c", "source": "madgrades", "source_instructor_id": "6315873", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TATIANA SHCHERBYNA", "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": 3.346, "graded": 276, "counts": [ 129, 46, 54, 17, 17, 8, 5 ], "sections": 12 }, "instructor_url": "/instructors/TATIANA_SHCHERBYNA--instructor_cb5593042198a18e4ec56a1c" }, { "instructor_uid": "instructor_11da40ed2a2bb6d06bf52104", "source": "madgrades", "source_instructor_id": "6398400", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HANBAEK LYU", "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": 3, "quality": 4, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2911773", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:22.761851+00:00", "courses": { "course_8b31dcae72f6377cdea586b3": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_85a2851be919e3db46f0fbc1": { "review_count": 2, "quality": 3.5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.7040745943883437, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.45, "graded": 271, "counts": [ 129, 43, 69, 15, 9, 6, 0 ], "sections": 24 }, "instructor_url": "/instructors/HANBAEK_LYU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Benedek Valko" ], "a": 5, "ab": 1, "b": 2, "bc": 1, "c": 1, "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": 11, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Timo Seppalainen" ], "a": 6, "ab": 1, "b": 5, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 14, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "JUN YIN" ], "a": 5, "ab": 4, "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": 10, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "PHILIP WOOD" ], "a": 16, "ab": 8, "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": 31, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Sebastien Roch" ], "a": 34, "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": 34, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Timo Seppalainen" ], "a": 22, "ab": 3, "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": 27, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "VADIM GORIN" ], "a": 5, "ab": 4, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 11, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "David Anderson" ], "a": 7, "ab": 5, "b": 4, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "TATIANA SHCHERBYNA" ], "a": 7, "ab": 4, "b": 3, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "HANBAEK LYU" ], "a": 22, "ab": 6, "b": 10, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Timo Seppalainen" ], "a": 27, "ab": 0, "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": 28, "source_aliases": [ "MATH/STAT 734" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 734", "course_uid": "course_436b4b4087325a19ccd87bd6", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Benedek Valko" ], "a": 7, "ab": 9, "b": 2, "bc": 0, "c": 0, "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": 19, "source_aliases": [ "MATH/STAT 734" ] } ] ``` ### statistics #### gpa 3.704 #### graded 253 #### counts * 163 * 45 * 37 * 5 * 2 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_436b4b4087325a19ccd87bd6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_436b4b4087325a19ccd87bd6-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_436b4b4087325a19ccd87bd6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_436b4b4087325a19ccd87bd6-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_436b4b4087325a19ccd87bd6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_436b4b4087325a19ccd87bd6-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_436b4b4087325a19ccd87bd6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_436b4b4087325a19ccd87bd6-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7035573122529644 #### count 253 #### university ##### size 3857 ##### gpa Percentile 46 ##### count Percentile 65 ##### median Count 147 ##### 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 | 261 | false | | 3.2–3.6 | 1029 | false | | 3.6–4.0 | 2556 | true | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 101, "gpaPercentile": 60, "countPercentile": 59, "medianCount": 173, "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": 6, "current": false }, { "range": "2.8–3.2", "count": 26, "current": false }, { "range": "3.2–3.6", "count": 22, "current": false }, { "range": "3.6–4.0", "count": 47, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 61, "gpaPercentile": 58, "countPercentile": 50, "medianCount": 253, "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": 22, "current": false }, { "range": "3.6–4.0", "count": 31, "current": true } ] } } ] ``` ### terms #### 1144 ##### term 1144 ##### gpa 3.4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1154 ##### term 1154 ##### gpa 3.423076923076923 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1164 ##### term 1164 ##### gpa 3.7 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1174 ##### term 1174 ##### gpa 3.629032258064516 ##### count 31 ##### university ###### size 955 ###### gpa Percentile 63 ###### count Percentile 3 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 94, "countPercentile": 0, "medianCount": 89, "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": 9, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 22, "gpaPercentile": 81, "countPercentile": 5, "medianCount": 71.5, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 4 ##### count 34 ##### university ###### size 1010 ###### gpa Percentile 96 ###### count Percentile 7 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 83.5, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 96, "countPercentile": 4, "medianCount": 70, "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": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.8703703703703702 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1204 ##### term 1204 ##### gpa 3.7 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1224 ##### term 1224 ##### gpa 3.4722222222222223 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1234 ##### term 1234 ##### gpa 3.566666666666667 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1244 ##### term 1244 ##### gpa 3.6578947368421053 ##### count 38 ##### university ###### size 1241 ###### gpa Percentile 51 ###### count Percentile 17 ###### 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 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 86, "countPercentile": 14, "medianCount": 68, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 20, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 82, "countPercentile": 14, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.9642857142857144 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1264 ##### term 1264 ##### gpa 3.4473684210526314 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | ### benchmarks #### all ##### school ###### size 3857 ###### gpa 3.6765573337568056 ###### top Share 82.9558451655162 ###### count 147 ##### MATH ###### size 101 ###### gpa 3.496341535514786 ###### top Share 72.36232771746849 ###### count 173 ##### STAT ###### size 61 ###### gpa 3.5806627676835294 ###### top Share 77.80958779672933 ###### count 253 #### terms ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MATH ###### size 30 ###### gpa 2.926152797086596 ###### top Share 42.17363619414386 ###### count 79 ###### STAT ###### size 14 ###### gpa 3.0970281238579784 ###### top Share 51.741770775379614 ###### count 74.5 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MATH ###### size 33 ###### gpa 2.9834698949629033 ###### top Share 46.71989715257013 ###### count 69 ###### STAT ###### size 19 ###### gpa 3.247335845906281 ###### top Share 58.329434774225824 ###### count 57 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MATH ###### size 32 ###### gpa 2.995223360849456 ###### top Share 46.38098813836469 ###### count 83 ###### STAT ###### size 21 ###### gpa 3.317795716655057 ###### top Share 62.84642273068802 ###### count 69 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ###### STAT ###### size 22 ###### gpa 3.3391231320477925 ###### top Share 62.80825113292103 ###### count 71.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MATH ###### size 36 ###### gpa 3.0650838986714333 ###### top Share 47.42689290604571 ###### count 83.5 ###### STAT ###### size 25 ###### gpa 3.460210558661105 ###### top Share 70.42953406269322 ###### count 70 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MATH ###### size 38 ###### gpa 3.133406260873163 ###### top Share 53.17595010634325 ###### count 71.5 ###### STAT ###### size 23 ###### gpa 3.3818127863152334 ###### top Share 66.9295898310719 ###### count 79 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MATH ###### size 29 ###### gpa 3.478717830475146 ###### top Share 69.61236805388549 ###### count 83 ###### 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 ###### MATH ###### size 34 ###### gpa 3.1555898753466907 ###### top Share 53.444319815085976 ###### count 87.5 ###### 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 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ###### 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 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ###### STAT ###### size 29 ###### gpa 3.390846810323202 ###### top Share 64.2629736611174 ###### count 62 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ###### STAT ###### size 28 ###### gpa 3.4752654121860003 ###### top Share 68.35873780152826 ###### count 70 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ###### STAT ###### size 26 ###### gpa 3.343399816676682 ###### top Share 63.23102425546245 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_bec15c77aa953cbac45042f2", "name": "TIMO SEPPALAINEN", "count": 68, "terms": [ { "term": "1154", "count": 13, "sections": 1, "gpa": 3.423076923076923 }, { "term": "1194", "count": 27, "sections": 1, "gpa": 3.8703703703703702 }, { "term": "1254", "count": 28, "sections": 1, "gpa": 3.9642857142857144 } ] }, { "uid": "instructor_11da40ed2a2bb6d06bf52104", "name": "HANBAEK LYU", "count": 38, "terms": [ { "term": "1244", "count": 38, "sections": 1, "gpa": 3.6578947368421053 } ] }, { "uid": "instructor_a19b17502e85c5e433a5c53f", "name": "SEBASTIEN ROCH", "count": 34, "terms": [ { "term": "1184", "count": 34, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_df2b9792cfd50a3b8e3673db", "name": "PHILIP WOOD", "count": 31, "terms": [ { "term": "1174", "count": 31, "sections": 1, "gpa": 3.629032258064516 } ] }, { "uid": "instructor_cda4aae4567f70b662d00163", "name": "BENEDEK VALKO", "count": 29, "terms": [ { "term": "1144", "count": 10, "sections": 1, "gpa": 3.4 }, { "term": "1264", "count": 19, "sections": 1, "gpa": 3.4473684210526314 } ] }, { "uid": "instructor_74c5f2722d98d13de18c1d20", "name": "DAVID ANDERSON", "count": 18, "terms": [ { "term": "1224", "count": 18, "sections": 1, "gpa": 3.4722222222222223 } ] }, { "uid": "instructor_cb5593042198a18e4ec56a1c", "name": "TATIANA SHCHERBYNA", "count": 15, "terms": [ { "term": "1234", "count": 15, "sections": 1, "gpa": 3.566666666666667 } ] }, { "uid": "instructor_07e97e8f54dc35670f330192", "name": "VADIM GORIN", "count": 10, "terms": [ { "term": "1204", "count": 10, "sections": 1, "gpa": 3.7 } ] }, { "uid": "instructor_0a9a7c5c9ed52646788c2132", "name": "JUN YIN", "count": 10, "terms": [ { "term": "1164", "count": 10, "sections": 1, "gpa": 3.7 } ] } ] ``` ## following None recorded.