# STAT 613: Statistical Methods for Data Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_613) ## 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 c17d0853efa01342f2cf838c3c0799d2e294443c11feda3acbe416821a1061a5 ### course id STAT 613 ### course uid course\_a1fe6c313e2d8e871cc18f1f ### catalog version id 23b5ad92076ac92e020c9a73339508913a660046cb6cb23a48c6edeebdc7831c ### course number 613 ### subjects * STAT ### title STATISTICAL METHODS FOR DATA SCIENCE ### description Provides a thorough grounding in modern statistical methods. Introduces statistical techniques and methods of data analysis, including data description, linear regression models, diagnostic tools, prediction and model selection, and experimental design. ### requirements text Declared in Data Science MS or Data Engineering MS ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:026234 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 986fa0479416dbcc8a85a17d043f47566a019291a1b4458d81b9b8b2a6ed3fcf ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 613 teaches modern statistical methods and data analysis techniques, covering linear regression, diagnostics, prediction, and experimental design. ### llm topics * Data description * Linear regression models * Diagnostic tools * Prediction and model selection * Experimental design ### llm skills * Modern statistical methods * Data analysis techniques including regression and experimental design ### llm assumed background None recorded. ### llm search phrases * STAT 613 statistical methods data science * linear regression diagnostic tools prediction * experimental design data analysis * Data Science MS prerequisites ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 125467ed499ad05b56e4182e0313c5d3b8628fb41ef70da26ded8016f1ba09a4 #### course id STAT 613 #### current instructors ```json [ { "instructor_uid": "instructor_7f04d41f87f6d297553504c7", "message": "No course-specific reviews available", "name": "Heyan Zhang", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.53 GPA, 87.5% A/AB (n=32 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_c937bd5ff5084d3cd8d28c78", "message": "No course-specific reviews available", "name": "Yongyi Guo", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3010926", "summary": [ { "citations": [ { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.83 GPA, 100.0% A/AB (n=20 letter grades); Fall 2024: 3.75 GPA, 100.0% A/AB (n=32 letter grades); Fall 2025: 3.53 GPA, 87.5% A/AB (n=32 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 — Fall 2023: 3.83 GPA, 100.0% A/AB (n=20 letter grades); Fall 2024: 3.75 GPA, 100.0% A/AB (n=32 letter grades); Fall 2025: 3.53 GPA, 87.5% A/AB (n=32 letter grades). ```json { "citations": [ { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history HEYAN ZHANG is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` YONGYI GUO is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "STAT 613", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "source_record": { "entity_id": "38270392-f67f-31a1-9682-b3894a5a6c02", "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" ], "condition": null, "course": null, "evidence": "Declared in Data Science MS or Data Engineering MS", "id": "n0", "kind": "any" }, { "children": [], "condition": "Declared in Data Science MS or Data Engineering MS", "course": null, "evidence": "Declared in Data Science MS or Data Engineering MS", "id": "n1", "kind": "condition" }, { "children": [], "condition": "Declared in Data Science MS or Data Engineering MS", "course": null, "evidence": "Declared in Data Science MS or Data Engineering MS", "id": "n2", "kind": "condition" } ] ``` #### notes * Program names 'Data Science MS' and 'Data Engineering MS' are unlinked course mentions; treated as verbatim conditions requiring review for canonical identity. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_7f04d41f87f6d297553504c7", "source": "enrollment", "source_instructor_id": "hzhang986", "identity_basis": "netid", "identity_status": "source_identified", "name": "Heyan Zhang", "email": "HZHANG986@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/HEYAN_ZHANG" }, { "instructor_uid": "instructor_c937bd5ff5084d3cd8d28c78", "source": "enrollment", "source_instructor_id": "guo98", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yongyi Guo", "email": "GUO98@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": 6, "quality": 1.17, "difficulty": 4.67, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:3010926", "source_url": "https://www.ratemyprofessors.com/professor/3010926", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:34.668824+00:00", "courses": { "course_d2d0c15e32bd1631a6074548": { "review_count": 6, "quality": 1.17, "difficulty": 4.67, "quality_count": 6, "difficulty_count": 6 } }, "bayesian_quality": 3.085142910420458, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/YONGYI_GUO" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:026234", "course_id": "STAT 613", "course_uid": "course_a1fe6c313e2d8e871cc18f1f", "term_id": "1272", "source_course_id": "026234", "source_subject_id": "932", "title": "Statistical Methods for Data Science", "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:1272:27204", "term_id": "1272", "source_section_id": "27204", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 45, "enrolled": 21, "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_f509ff4fde897514c5b44d7e", "source": "madgrades", "source_instructor_id": "4839254", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUSAN GLENN", "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": 3.718, "graded": 39, "counts": [ 24, 10, 3, 2, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/SUSAN_GLENN--instructor_f509ff4fde897514c5b44d7e" }, { "instructor_uid": "instructor_f5c2a5601f5f4ad72befd3e1", "source": "madgrades", "source_instructor_id": "5690230", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YONGYI GUO", "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": 6, "quality": 1.17, "difficulty": 4.67, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:3010926", "source_url": "https://www.ratemyprofessors.com/professor/3010926", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:34.668824+00:00", "courses": { "course_d2d0c15e32bd1631a6074548": { "review_count": 6, "quality": 1.17, "difficulty": 4.67, "quality_count": 6, "difficulty_count": 6 } }, "bayesian_quality": 3.085142910420458, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.094, "graded": 379, "counts": [ 125, 67, 69, 42, 55, 16, 5 ], "sections": 7 }, "instructor_url": "/instructors/YONGYI_GUO--instructor_f5c2a5601f5f4ad72befd3e1" }, { "instructor_uid": "instructor_1f60e25246f6b2efbbdf667b", "source": "madgrades", "source_instructor_id": "6397900", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XINYAN WANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.726, "graded": 62, "counts": [ 32, 26, 4, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/XINYAN_WANG--instructor_1f60e25246f6b2efbbdf667b" }, { "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_7f04d41f87f6d297553504c7", "source": "enrollment", "source_instructor_id": "hzhang986", "identity_basis": "netid", "identity_status": "source_identified", "name": "Heyan Zhang", "email": "HZHANG986@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/HEYAN_ZHANG" }, { "instructor_uid": "instructor_c937bd5ff5084d3cd8d28c78", "source": "enrollment", "source_instructor_id": "guo98", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yongyi Guo", "email": "GUO98@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": 6, "quality": 1.17, "difficulty": 4.67, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:3010926", "source_url": "https://www.ratemyprofessors.com/professor/3010926", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:34.668824+00:00", "courses": { "course_d2d0c15e32bd1631a6074548": { "review_count": 6, "quality": 1.17, "difficulty": 4.67, "quality_count": 6, "difficulty_count": 6 } }, "bayesian_quality": 3.085142910420458, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/YONGYI_GUO" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 613", "course_uid": "course_a1fe6c313e2d8e871cc18f1f", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "SUSAN GLENN", "Yongyi Guo" ], "a": 13, "ab": 7, "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": 20, "source_aliases": [ "STAT 613" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 613", "course_uid": "course_a1fe6c313e2d8e871cc18f1f", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Xinyan Wang", "Yongyi Guo" ], "a": 16, "ab": 16, "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": 32, "source_aliases": [ "STAT 613" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 613", "course_uid": "course_a1fe6c313e2d8e871cc18f1f", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Heyan Zhang", "Yongyi Guo" ], "a": 12, "ab": 16, "b": 3, "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": 32, "source_aliases": [ "STAT 613" ] } ] ``` ### statistics #### gpa 3.685 #### graded 84 #### counts * 41 * 39 * 3 * 0 * 0 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a1fe6c313e2d8e871cc18f1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a1fe6c313e2d8e871cc18f1f-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a1fe6c313e2d8e871cc18f1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a1fe6c313e2d8e871cc18f1f-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_a1fe6c313e2d8e871cc18f1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_a1fe6c313e2d8e871cc18f1f-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a1fe6c313e2d8e871cc18f1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a1fe6c313e2d8e871cc18f1f-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6845238095238093 #### count 84 #### university ##### size 2460 ##### gpa Percentile 42 ##### count Percentile 45 ##### median Count 94 ##### 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 | 6 | false | | 2.8–3.2 | 170 | false | | 3.2–3.6 | 630 | false | | 3.6–4.0 | 1654 | true | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 48, "gpaPercentile": 70, "countPercentile": 30, "medianCount": 127.5, "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": 20, "current": false }, { "range": "3.6–4.0", "count": 21, "current": true } ] } } ] ``` ### terms #### 1242 ##### term 1242 ##### gpa 3.825 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1252 ##### term 1252 ##### gpa 3.75 ##### count 32 ##### university ###### size 1333 ###### gpa Percentile 59 ###### count Percentile 5 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 87, "countPercentile": 6, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.53125 ##### count 32 ##### university ###### size 1320 ###### gpa Percentile 32 ###### count Percentile 5 ###### median Count 70 ###### 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 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 57, "countPercentile": 0, "medianCount": 81, "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": 12, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2460 ###### gpa 3.6795793071535745 ###### top Share 83.15650336722103 ###### count 94 ##### STAT ###### size 48 ###### gpa 3.5183385827909035 ###### top Share 73.53242708685785 ###### count 127.5 #### terms ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ## instructor Trends ```json [ { "uid": "instructor_f5c2a5601f5f4ad72befd3e1", "name": "YONGYI GUO", "count": 84, "terms": [ { "term": "1242", "count": 20, "sections": 1, "gpa": 3.825 }, { "term": "1252", "count": 32, "sections": 1, "gpa": 3.75 }, { "term": "1262", "count": 32, "sections": 1, "gpa": 3.53125 } ] }, { "uid": "instructor_0b2119f22babc1389a02a8fa", "name": "HEYAN ZHANG", "count": 32, "terms": [ { "term": "1262", "count": 32, "sections": 1, "gpa": 3.53125 } ] }, { "uid": "instructor_1f60e25246f6b2efbbdf667b", "name": "XINYAN WANG", "count": 32, "terms": [ { "term": "1252", "count": 32, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_f509ff4fde897514c5b44d7e", "name": "SUSAN GLENN", "count": 20, "terms": [ { "term": "1242", "count": 20, "sections": 1, "gpa": 3.825 } ] } ] ``` ## following None recorded.