# STAT 441: Advanced Sports Analytics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_441) ## 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 02721eb65b6e154a3fb23b6d55a273695e88433eaf25d85c668b2e99aa9b41c4 ### course id STAT 441 ### course uid course\_8d768d8674fd0a5a6e68752e ### catalog version id a320b2f3532287abc232791d39be127f0a59a0ac7982407d8a4e95dbee106165 ### course number 441 ### subjects * STAT ### title ADVANCED SPORTS ANALYTICS ### description Illustrates the use of statistical modeling and data science techniques to derive actionable insights from sports data. Emphasizes not only technical calculation of advanced metrics but also on written and oral communication to other data scientists and to non-technical audiences. Topics may include: deriving team rankings from paired competitions; measuring an individual player's contribution to their team's overall success; assessing player performance and team strategy in terms of expected outcomes; forecasting the impact of new rule changes using simulation; and creating new metrics using high-resolution player tracking data. ### requirements text STAT 333,340,601,611,ACT SCI 640, orGEN BUS 656 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:027357 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id ae733fa724a673ba0662af4a77e4afc2dc42d69720c61f74b45f944070599810 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 441 teaches statistical modeling and data science techniques to derive actionable insights from sports data. ### llm topics * Deriving team rankings from paired competitions. * Measuring individual player contribution. * Assessing player performance and team strategy. * Forecasting impact of rule changes using simulation. * Creating metrics from high-resolution player tracking data. ### llm skills * Statistical modeling and data science techniques. * Technical calculation of advanced metrics and communication. * Creating new metrics from high-resolution data. ### llm assumed background * Linear regression, probability, simulation, and statistical inference. ### llm search phrases * advanced sports analytics * statistical modeling sports data * player performance metrics * team ranking algorithms * expected outcomes sports ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash a2cf0b965273b0a8969503894e3ef8d8ff59c1093eec21d927ef04371fcfb4dd #### course id STAT 441 #### current instructors ```json [ { "instructor_uid": "instructor_bb9db90224dc8d82c6ef1270", "message": "No course-specific reviews available", "name": "Sameer Deshpande", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_3cb4eceb94e1091ec559bb6d", "message": "No course-specific reviews available", "name": "Zhexuan Liu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Ismor Fischer: Reviewers note lengthy assignments and open-book exams as specific workload components. ```json { "citations": [ { "instructor_name": "Ismor Fischer", "review_date": "2005-04-28 15:11:40 +0000 UTC", "review_id": "daffc446c06b81c9c436bc48", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTM3MzUwMzU=", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Ismor Fischer describe open-book tests and helpful packets, though one student found the teaching terrible and notes incomprehensible. Reviewers note lengthy assignments and exams similar to homework, with one citing a lack of clarity in lecture materials despite relevant examples. ```json { "citations": [ { "instructor_name": "Ismor Fischer", "review_date": "2005-04-28 15:11:40 +0000 UTC", "review_id": "daffc446c06b81c9c436bc48", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTM3MzUwMzU=", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2005-05-12 16:51:24 +0000 UTC", "review_id": "02a3f33b28b4f33bd02b2589", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTM4NDczMDk=", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2011-05-06 00:50:02 +0000 UTC", "review_id": "03944a4ace95d05ce3277703", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTE4NTM5NzU2", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Ismor Fischer describe a course with open-book tests and helpful packets, though one student found the teaching terrible and incomprehensible. ```json { "citations": [ { "instructor_name": "Ismor Fischer", "review_date": "2005-04-28 15:11:40 +0000 UTC", "review_id": "daffc446c06b81c9c436bc48", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTM3MzUwMzU=", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2005-05-12 16:51:24 +0000 UTC", "review_id": "02a3f33b28b4f33bd02b2589", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTM4NDczMDk=", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2011-05-06 00:50:02 +0000 UTC", "review_id": "03944a4ace95d05ce3277703", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTE4NTM5NzU2", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" } ] } ``` Recent recorded grades — Spring 2009: 3.30 GPA, 50.7% A/AB (n=134 letter grades); Spring 2010: 3.52 GPA, 71.6% A/AB (n=134 letter grades); Spring 2011: 3.49 GPA, 62.1% A/AB (n=124 letter grades). ```json { "citations": [ { "course_id": "STAT 441", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "STAT 441", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "STAT 441", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1114", "type": "grade" } ] } ``` #### student experience Historical reviews of Ismor Fischer: Students found the provided packet helpful and appreciated relevant examples used in lectures. ```json { "citations": [ { "instructor_name": "Ismor Fischer", "review_date": "2005-05-12 16:51:24 +0000 UTC", "review_id": "02a3f33b28b4f33bd02b2589", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTM4NDczMDk=", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ISMOR FISCHER is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 441", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "source_record": { "entity_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "STAT 441", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "source_record": { "entity_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "STAT 441", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "source_record": { "entity_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "STAT 441", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "source_record": { "entity_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "STAT 441", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "source_record": { "entity_id": "fdbf1704-b413-3785-b1b6-782290c9d7bb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5", "n6" ], "condition": null, "course": null, "evidence": "STAT 333,340,601,611,ACT SCI 640, orGEN BUS 656", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 333, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 333", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "340", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 601, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "601", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 611, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "611", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 640, "minimum_grade": null, "subjects": [ "ACTSCI" ], "timing": "prior" }, "evidence": "ACT SCI 640", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 656, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 656", "id": "n6", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------------- | -------------------------- | -------------------------------- | -------------------------------- | ------------------------------ | | instructor\_bb9db90224dc8d82c6ef1270 | enrollment | skdeshpande2 | netid | source\_identified | Sameer Deshpande | SAMEER.DESHPANDE\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/SAMEER\_DESHPANDE | | instructor\_3cb4eceb94e1091ec559bb6d | enrollment | zliu999 | netid | source\_identified | Zhexuan Liu | ZHEXUAN.LIU2\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ZHEXUAN\_LIU | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:027357", "course_id": "STAT 441", "course_uid": "course_8d768d8674fd0a5a6e68752e", "term_id": "1272", "source_course_id": "027357", "source_subject_id": "932", "title": "Advanced Sports Analytics", "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:1272:36955", "term_id": "1272", "source_section_id": "36955", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 70, "enrolled": 59, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:37335", "term_id": "1272", "source_section_id": "37335", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 2, "enrolled": 0, "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_24948fd49648b2bd4fcf745b", "source": "madgrades", "source_instructor_id": "143932", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ISMOR FISCHER", "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": 111, "quality": 3.56, "difficulty": 3.17, "quality_count": 111, "difficulty_count": 111, "profile_id": "rmp:355768", "source_url": "https://www.ratemyprofessors.com/professor/355768", "match_basis": "exact_name", "observed_at": "2026-09-07 16:35:38.895046+00:00", "courses": { "course_1b76508145789f8fbc49d1fa": { "review_count": 16, "quality": 3.5, "difficulty": 2.81, "quality_count": 16, "difficulty_count": 16 }, "course_1f8e8903c7761a5fe852a4bc": { "review_count": 4, "quality": 2, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 }, "course_bf80347054c4234ada79c07e": { "review_count": 23, "quality": 3.57, "difficulty": 3.43, "quality_count": 23, "difficulty_count": 23 }, "course_24942ca6acb3a153de2907d5": { "review_count": 5, "quality": 4, "difficulty": 3, "quality_count": 5, "difficulty_count": 5 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 3, "quality": 3.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 }, "course_06abb97e9793bf858754daa3": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_e593b86c370a0c671af794df": { "review_count": 1, "quality": 5, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 }, "course_4c67a24aa1091c6bb6189230": { "review_count": 3, "quality": 5, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 }, "course_8d768d8674fd0a5a6e68752e": { "review_count": 3, "quality": 4.33, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.5752192035949, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.118, "graded": 5157, "counts": [ 2201, 498, 1191, 202, 592, 269, 204 ], "sections": 56 }, "instructor_url": "/instructors/ISMOR_FISCHER" }, { "instructor_uid": "instructor_3cb4eceb94e1091ec559bb6d", "source": "enrollment", "source_instructor_id": "zliu999", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zhexuan Liu", "email": "ZHEXUAN.LIU2@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/ZHEXUAN_LIU" }, { "instructor_uid": "instructor_bb9db90224dc8d82c6ef1270", "source": "enrollment", "source_instructor_id": "skdeshpande2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sameer Deshpande", "email": "SAMEER.DESHPANDE@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/SAMEER_DESHPANDE" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 441", "course_uid": "course_8d768d8674fd0a5a6e68752e", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "ISMOR FISCHER" ], "a": 56, "ab": 30, "b": 33, "bc": 1, "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": 126, "source_aliases": [ "STAT 441" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 441", "course_uid": "course_8d768d8674fd0a5a6e68752e", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "ISMOR FISCHER" ], "a": 49, "ab": 7, "b": 47, "bc": 6, "c": 10, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 120, "source_aliases": [ "STAT 441" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 441", "course_uid": "course_8d768d8674fd0a5a6e68752e", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "ISMOR FISCHER" ], "a": 49, "ab": 19, "b": 46, "bc": 6, "c": 13, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 134, "source_aliases": [ "STAT 441" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 441", "course_uid": "course_8d768d8674fd0a5a6e68752e", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "ISMOR FISCHER" ], "a": 79, "ab": 17, "b": 21, "bc": 4, "c": 11, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 134, "source_aliases": [ "STAT 441" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 441", "course_uid": "course_8d768d8674fd0a5a6e68752e", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "ISMOR FISCHER" ], "a": 69, "ab": 8, "b": 37, "bc": 3, "c": 4, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 125, "source_aliases": [ "STAT 441" ] } ] ``` ### statistics #### gpa 3.427 #### graded 638 #### counts * 302 * 81 * 184 * 20 * 44 * 5 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8d768d8674fd0a5a6e68752e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8d768d8674fd0a5a6e68752e-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_8d768d8674fd0a5a6e68752e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8d768d8674fd0a5a6e68752e-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_8d768d8674fd0a5a6e68752e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_8d768d8674fd0a5a6e68752e-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_8d768d8674fd0a5a6e68752e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_8d768d8674fd0a5a6e68752e-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_8d768d8674fd0a5a6e68752e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8d768d8674fd0a5a6e68752e-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.427115987460815 #### count 638 #### university ##### size 1854 ##### gpa Percentile 37 ##### count Percentile 91 ##### median Count 101 ##### 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 | 42 | false | | 2.8–3.2 | 325 | false | | 3.2–3.6 | 644 | true | | 3.6–4.0 | 842 | false | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 52, "countPercentile": 91, "medianCount": 149.5, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.511904761904762 ##### count 126 ##### university ###### size 695 ###### gpa Percentile 65 ###### count Percentile 75 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1084 ##### term 1084 ##### gpa 3.3125 ##### count 120 ##### university ###### size 720 ###### gpa Percentile 45 ###### count Percentile 74 ###### 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 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 80, "medianCount": 60, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.3022388059701493 ##### count 134 ##### university ###### size 758 ###### gpa Percentile 43 ###### count Percentile 79 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 83, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.5186567164179103 ##### count 134 ##### university ###### size 793 ###### gpa Percentile 61 ###### count Percentile 80 ###### median Count 66 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | true | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 80, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.4879032258064515 ##### count 124 ##### university ###### size 804 ###### gpa Percentile 61 ###### count Percentile 76 ###### 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 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | true | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 85, "countPercentile": 85, "medianCount": 76, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 1854 ###### gpa 3.5254221049760037 ###### top Share 73.40757612824619 ###### count 101 ##### STAT ###### size 24 ###### gpa 3.383223568993174 ###### top Share 66.26969322425762 ###### count 149.5 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### STAT ###### size 11 ###### gpa 3.1916703213972117 ###### top Share 53.20854008345764 ###### count 60 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### STAT ###### size 13 ###### gpa 3.2192958075537375 ###### top Share 55.66253049989985 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### STAT ###### size 11 ###### gpa 3.2176332921053334 ###### top Share 53.16837069213127 ###### count 89 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### STAT ###### size 14 ###### gpa 3.1808388037128617 ###### top Share 54.20460480857422 ###### count 76 ## instructor Trends ```json [ { "uid": "instructor_24948fd49648b2bd4fcf745b", "name": "ISMOR FISCHER", "count": 638, "terms": [ { "term": "1074", "count": 126, "sections": 1, "gpa": 3.511904761904762 }, { "term": "1084", "count": 120, "sections": 1, "gpa": 3.3125 }, { "term": "1094", "count": 134, "sections": 1, "gpa": 3.3022388059701493 }, { "term": "1104", "count": 134, "sections": 1, "gpa": 3.5186567164179103 }, { "term": "1114", "count": 124, "sections": 1, "gpa": 3.4879032258064515 } ] } ] ``` ## following None recorded.