# MATH/STAT 309: Introduction to Probability and Mathematical Statistics I | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_STAT_309) ## 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 c180b26773cf38a25f2206ee0bfef2818e5e6c0ab2c19d2bd85e42a1ee21aca5 ### course id MATH/STAT 309 ### course uid course\_2a00c702ff402614a950606e ### catalog version id 07efa76e0f8ade8e6ec996990971d3d867b67db9a662b83de50eb296a2e6b4b4 ### course number 309 ### subjects * MATH * STAT ### title INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS I ### description Probability and combinatorial methods, discrete and continuous, univariate and multivariate distributions, expected values, moments, normal distribution and derived distributions, estimation. ### requirements text MATH 234,376, or concurrent enrollment. Not open to students with credit forSTAT/​MATH  431orSTAT 311 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:018441 * 1272:932:018441 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id b1cd1a92d202a50d685768aca466dea9aac69d6ef59260c95e23c708f21d032d ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to probability and mathematical statistics covering distributions, moments, and estimation. ### llm topics * Probability and combinatorial methods * Discrete and continuous distributions * Expected values and moments * Normal distribution and derived distributions * Estimation ### llm skills * Probability and combinatorial methods * Analyzing discrete and continuous distributions * Calculating expected values and moments * Understanding normal and derived distributions * Statistical estimation ### llm assumed background * Multivariable calculus * Multi-variable calculus and differential equations ### llm search phrases * probability statistics introduction * MATH STAT 309 course * mathematical statistics I * discrete continuous distributions ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash e09f05151486452f47200fec6d6d69f56fdd49d3f3f754dfa0d98d9b10316f2f #### course id MATH/STAT 309 #### current instructors ```json [ { "instructor_uid": "instructor_3272c3c61cb08e4f362e009f", "message": "No course-specific reviews available", "name": "Nicolas Garcia Trillos", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_595d1dead150732dcfda51bd", "message": null, "name": "Rishabh Dudeja", "review_status": "supported", "rmp_instructor_id": "rmp:3048822", "summary": [ { "citations": [ { "instructor_name": "Rishabh Dudeja", "review_date": "2024-11-21 20:57:17 +0000 UTC", "review_id": "c9ccda66bb1f18769dee40e0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwMDA2OTI4", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2024-12-23 10:18:04 +0000 UTC", "review_id": "da6a3bdfe742a01448b7db2f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwNDIyMjcx", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2024-12-23 23:26:36 +0000 UTC", "review_id": "bcbee7b011d0f7d04178cd03", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwNDI2MzY1", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2025-02-25 07:10:47 +0000 UTC", "review_id": "d0d527a21da0c2d145b83014", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwNzA1NTcy", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2025-10-15 18:08:30 +0000 UTC", "review_id": "b369dc3a17f764c95e5b7d28", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQxNzE5Njk5", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2025-12-20 03:51:54 +0000 UTC", "review_id": "3d952dd78c3dc40e4310f4f9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQyMzU2MDky", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" } ], "text": "Rishabh Dudeja is consistently praised for clear, well-structured lectures and deep subject knowledge. Reviewers highlight his patience, professionalism, and approachability in office hours. Some note a focus on proofs over applications, but overall he is highly recommended for his teaching quality." }, { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.41 GPA, 68.4% A/AB (n=38 letter grades); Fall 2024: 3.13 GPA, 45.6% A/AB (n=68 letter grades); Fall 2025: 3.42 GPA, 69.0% A/AB (n=71 letter grades)." } ] } ] ``` #### difficulty workload The workload includes ten homeworks, one midterm, and one final, with exams described as easy if students engage with the provided materials. ```json { "citations": [ { "instructor_name": "Rishabh Dudeja", "review_date": "2024-12-23 10:18:04 +0000 UTC", "review_id": "da6a3bdfe742a01448b7db2f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwNDIyMjcx", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2025-02-25 07:10:47 +0000 UTC", "review_id": "d0d527a21da0c2d145b83014", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwNzA1NTcy", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2025-10-15 18:08:30 +0000 UTC", "review_id": "b369dc3a17f764c95e5b7d28", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQxNzE5Njk5", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" } ] } ``` #### errors None recorded. #### historical context Bret Larget is described as a good professor with fair exams and grading, though homework is irrelevant to tests. He offered retests for unfair exams. This historical review highlights his supportive approach to assessment. ```json { "citations": [ { "instructor_name": "Bret Larget", "review_date": "2010-01-03 20:42:33 +0000 UTC", "review_id": "a014cf809b349cfc3e01ec4f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:566625", "source_review_id": "UmF0aW5nLTE2NjcxMTgx", "source_url": "https://www.ratemyprofessors.com/professor/566625", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Rishabh Dudeja is highly recommended for his professional, clear, and well-structured lectures in probability and statistics. ```json { "citations": [ { "instructor_name": "Rishabh Dudeja", "review_date": "2024-11-21 20:57:17 +0000 UTC", "review_id": "c9ccda66bb1f18769dee40e0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwMDA2OTI4", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2024-12-23 10:18:04 +0000 UTC", "review_id": "da6a3bdfe742a01448b7db2f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwNDIyMjcx", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" }, { "instructor_name": "Rishabh Dudeja", "review_date": "2025-12-20 03:51:54 +0000 UTC", "review_id": "3d952dd78c3dc40e4310f4f9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQyMzU2MDky", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.45 GPA, 59.4% A/AB (n=69 letter grades); Fall 2025: 3.33 GPA, 64.2% A/AB (n=137 letter grades); Spring 2026: 2.98 GPA, 47.5% A/AB (n=120 letter grades). ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students find the professor easy to understand and knowledgeable, though some criticize the heavy focus on proofs over practical applications. ```json { "citations": [ { "instructor_name": "Rishabh Dudeja", "review_date": "2025-02-25 07:10:47 +0000 UTC", "review_id": "d0d527a21da0c2d145b83014", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3048822", "source_review_id": "UmF0aW5nLTQwNzA1NTcy", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ANRU ZHANG is recorded teaching in Fall 2015, Fall 2016, Spring 2017, Spring 2018, Fall 2018, Spring 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" } ] } ``` BRET LARGET is recorded teaching in Fall 2008, Fall 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" } ] } ``` GARVESH RASKUTTI is recorded teaching in Fall 2013, Spring 2014, Fall 2014, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` KRISHNAKUMAR BALASUBRAMANIAN is recorded teaching in Spring 2015, Spring 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" } ] } ``` MATTHEW BLOSS is recorded teaching in Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` NIMAL WICKREMASINGHE is recorded teaching in Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` PANDUAN AN is recorded teaching in Fall 2019, Spring 2020, Fall 2020, Fall 2022, Spring 2024, Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` RISHABH DUDEJA 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": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` YAZHEN WANG is recorded teaching in Fall 2010, Fall 2011, Fall 2012. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "MATH/STAT 309", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "source_record": { "entity_id": "2eacb08c-4327-3ff0-aa76-deb43ec562c4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MATH 234,376, or concurrent enrollment. Not open to students with credit forSTAT/MATH 431orSTAT 311", "id": "n0", "kind": "all" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "MATH 234,376, or concurrent enrollment", "id": "n1", "kind": "any" }, { "children": [ "n7" ], "condition": null, "course": null, "evidence": "Not open to students with credit forSTAT/MATH 431orSTAT 311", "id": "n2", "kind": "not" }, { "children": [], "condition": null, "course": { "course_number": 234, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior_or_concurrent" }, "evidence": "MATH 234", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 376, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior_or_concurrent" }, "evidence": "376", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 431, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "STAT/MATH 431", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 311, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 311", "id": "n6", "kind": "course" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "STAT/MATH 431orSTAT 311", "id": "n7", "kind": "any" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_3272c3c61cb08e4f362e009f", "source": "enrollment", "source_instructor_id": "garciatrillo", "identity_basis": "netid", "identity_status": "source_identified", "name": "Nicolas Garcia Trillos", "email": "GARCIATRILLO@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/NICOLAS_GARCIA_TRILLOS" }, { "instructor_uid": "instructor_d0e5752a2782665fae84fce2", "source": "enrollment", "source_instructor_id": "dsaha8", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rheetoja Saha", "email": "DSAHA8@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/RHEETOJA_SAHA" }, { "instructor_uid": "instructor_595d1dead150732dcfda51bd", "source": "enrollment", "source_instructor_id": "rdudeja", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rishabh Dudeja", "email": "RDUDEJA@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": 5, "difficulty": 2.67, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:3048822", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:50.458380+00:00", "courses": { "course_2a00c702ff402614a950606e": { "review_count": 6, "quality": 5, "difficulty": 2.67, "quality_count": 6, "difficulty_count": 6 } }, "bayesian_quality": 3.9689890642666117, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/RISHABH_DUDEJA" }, { "instructor_uid": "instructor_934d3191f33f423313a364ac", "source": "enrollment", "source_instructor_id": "yyun25", "identity_basis": "netid", "identity_status": "source_identified", "name": "Young-Joo Yun", "email": "YYUN25@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/YOUNG-JOO_YUN" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:018441", "course_id": "MATH/STAT 309", "course_uid": "course_2a00c702ff402614a950606e", "term_id": "1272", "source_course_id": "018441", "source_subject_id": "600", "title": "Introduction to Probability and Mathematical Statistics I", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:018441", "course_id": "MATH/STAT 309", "course_uid": "course_2a00c702ff402614a950606e", "term_id": "1272", "source_course_id": "018441", "source_subject_id": "932", "title": "Introduction to Probability and Mathematical Statistics I", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27383", "term_id": "1272", "source_section_id": "27383", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 63, "enrolled": 21, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" 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"uw-section:1272:27177", "term_id": "1272", "source_section_id": "27177", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 72, "enrolled": 55, "waitlisted": 4, "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:1272:27178", "term_id": "1272", "source_section_id": "27178", "identity_basis": "class_number", "section_number": "322", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 18, "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:1272:27179", "term_id": "1272", "source_section_id": "27179", "identity_basis": "class_number", "section_number": "323", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 18, "waitlisted": 4, "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:1272:28934", "term_id": "1272", "source_section_id": "28934", "identity_basis": "class_number", "section_number": "321", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 19, "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_65cbac2c9da9e3d3236992ef", "source": "madgrades", "source_instructor_id": "4108525", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHENGJUN ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.47, "graded": 1374, "counts": [ 541, 447, 245, 81, 44, 14, 2 ], "sections": 96 }, "instructor_url": "/instructors/ZHENGJUN_ZHANG--instructor_65cbac2c9da9e3d3236992ef" }, { "instructor_uid": "instructor_f65ad5805424979bbca8b21b", "source": "madgrades", "source_instructor_id": "495087", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GARY HOWARD SCHROEDER", "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": 2.841, "graded": 355, "counts": [ 77, 63, 77, 48, 52, 25, 13 ], "sections": 4 }, "instructor_url": "/instructors/GARY_HOWARD_SCHROEDER--instructor_f65ad5805424979bbca8b21b" }, { "instructor_uid": "instructor_0fa00489e3ab3e94b9e52d89", "source": "madgrades", "source_instructor_id": "751075", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRET LARGET", "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": 29, "quality": 3.31, "difficulty": 3.21, "quality_count": 29, "difficulty_count": 29, "profile_id": "rmp:566625", "source_url": "https://www.ratemyprofessors.com/professor/566625", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:20.625013+00:00", "courses": { "course_03f8aaae24bac7658b319ca8": { "review_count": 16, "quality": 2.88, "difficulty": 3.31, "quality_count": 16, "difficulty_count": 16 }, "course_72cc7ddf48330b71523f309f": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_2a00c702ff402614a950606e": { "review_count": 2, "quality": 4, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_e593b86c370a0c671af794df": { "review_count": 1, "quality": 5, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, 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"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": 5, "difficulty": 2.67, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:3048822", "source_url": "https://www.ratemyprofessors.com/professor/3048822", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:50.458380+00:00", "courses": { "course_2a00c702ff402614a950606e": { "review_count": 6, "quality": 5, "difficulty": 2.67, "quality_count": 6, "difficulty_count": 6 } }, "bayesian_quality": 3.9689890642666117, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/RISHABH_DUDEJA" }, { "instructor_uid": "instructor_934d3191f33f423313a364ac", "source": "enrollment", "source_instructor_id": "yyun25", "identity_basis": "netid", "identity_status": "source_identified", "name": "Young-Joo Yun", "email": "YYUN25@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/YOUNG-JOO_YUN" }, { "instructor_uid": "instructor_d0e5752a2782665fae84fce2", "source": "enrollment", "source_instructor_id": "dsaha8", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rheetoja Saha", "email": "DSAHA8@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/RHEETOJA_SAHA" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 309", "course_uid": "course_2a00c702ff402614a950606e", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "Zheng Zhang" ], "a": 9, "ab": 13, "b": 12, "bc": 5, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, 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0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 133, "source_aliases": [ "MATH/STAT 309" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 309", "course_uid": "course_2a00c702ff402614a950606e", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Matthew Bloss" ], "a": 33, "ab": 8, "b": 21, "bc": 4, "c": 2, "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": 69, "source_aliases": [ "MATH/STAT 309" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 309", "course_uid": "course_2a00c702ff402614a950606e", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "PANDUAN AN", "Rishabh Dudeja" ], "a": 65, "ab": 23, "b": 23, "bc": 3, "c": 16, "d": 7, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 137, "source_aliases": [ "MATH/STAT 309" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH/STAT 309", "course_uid": "course_2a00c702ff402614a950606e", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Matthew Bloss", "PANDUAN AN" ], "a": 43, "ab": 14, "b": 16, "bc": 14, "c": 21, "d": 11, "f": 1, "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": [ "MATH/STAT 309" ] } ] ``` ### statistics #### gpa 3.208 #### graded 2749 #### counts * 1091 * 475 * 512 * 246 * 256 * 128 * 41 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_2a00c702ff402614a950606e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_2a00c702ff402614a950606e-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_2a00c702ff402614a950606e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_2a00c702ff402614a950606e-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_2a00c702ff402614a950606e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_2a00c702ff402614a950606e-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_2a00c702ff402614a950606e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_2a00c702ff402614a950606e-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_2a00c702ff402614a950606e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_2a00c702ff402614a950606e-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.207530010913059 #### count 2749 #### university ##### size 5646 ##### gpa Percentile 6 ##### count Percentile 95 ##### median Count 217 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 10 | false | | 2.8–3.2 | 340 | false | | 3.2–3.6 | 1501 | true | | 3.6–4.0 | 3795 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 136, "gpaPercentile": 27, "countPercentile": 87, "medianCount": 228.5, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 33, "current": false }, { "range": "3.2–3.6", "count": 25, "current": true }, { "range": "3.6–4.0", "count": 75, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 77, "gpaPercentile": 11, "countPercentile": 91, "medianCount": 405, "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": 31, "current": true }, { "range": "3.6–4.0", "count": 38, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.3333333333333335 ##### count 39 ##### university ###### size 723 ###### gpa Percentile 48 ###### count Percentile 19 ###### median Count 67 ###### 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 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 21, "gpaPercentile": 90, "countPercentile": 15, "medianCount": 115, "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": 10, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "STAT", "comparison": null } ] ``` #### 1082 ##### term 1082 ##### gpa 3.125 ##### count 36 ##### university ###### size 723 ###### gpa Percentile 27 ###### count Percentile 14 ###### 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 | 51 | false | | 2.8–3.2 | 202 | true | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 20, "gpaPercentile": 84, "countPercentile": 5, "medianCount": 122, "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": 9, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 10, "gpaPercentile": 56, "countPercentile": 22, "medianCount": 66.5, "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": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.1666666666666665 ##### count 51 ##### university ###### size 732 ###### gpa Percentile 30 ###### count Percentile 31 ###### 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 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 90, "countPercentile": 24, "medianCount": 131, "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": 9, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 20, "medianCount": 65, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.223684210526316 ##### count 76 ##### university ###### size 774 ###### gpa Percentile 36 ###### count Percentile 56 ###### median Count 67 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 85, "countPercentile": 50, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 43, "countPercentile": 64, "medianCount": 72, "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": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 2.963235294117647 ##### count 68 ##### university ###### size 805 ###### gpa Percentile 14 ###### count Percentile 51 ###### 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 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 48, "countPercentile": 40, "medianCount": 87, "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": 12, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 15, "countPercentile": 46, "medianCount": 68.5, "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": 6, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 2.6838235294117645 ##### count 68 ##### university ###### size 804 ###### gpa Percentile 3 ###### count Percentile 48 ###### 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 | 47 | true | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 23, "countPercentile": 38, "medianCount": 103, "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": 9, "current": true }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 0, "countPercentile": 46, "medianCount": 78.5, "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": 1, "current": true }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 2.6338028169014085 ##### count 71 ##### university ###### size 851 ###### gpa Percentile 2 ###### count Percentile 52 ###### 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 | 2 | false | | 2.4–2.8 | 40 | true | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 25, "gpaPercentile": 4, "countPercentile": 38, "medianCount": 108, "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": 5, "current": true }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 0, "countPercentile": 47, "medianCount": 72, "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": true }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.2209302325581395 ##### count 43 ##### university ###### size 853 ###### gpa Percentile 34 ###### count Percentile 25 ###### median Count 67 ###### 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 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 31, "gpaPercentile": 67, "countPercentile": 23, "medianCount": 77, "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": 8, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 40, "countPercentile": 40, "medianCount": 44.5, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 2.7788461538461537 ##### count 52 ##### university ###### size 878 ###### gpa Percentile 4 ###### count Percentile 36 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | true | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 30, "gpaPercentile": 24, "countPercentile": 31, "medianCount": 79, "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": 6, "current": true }, { "range": "2.8–3.2", "count": 19, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 0, "countPercentile": 23, "medianCount": 74.5, "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": 1, "current": true }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 2.9367088607594938 ##### count 79 ##### university ###### size 918 ###### gpa Percentile 9 ###### count Percentile 58 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 39, "countPercentile": 48, "medianCount": 82, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 16, "countPercentile": 63, "medianCount": 55, "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": 7, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 2.909090909090909 ##### count 88 ##### university ###### size 935 ###### gpa Percentile 8 ###### count Percentile 65 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 44, "countPercentile": 59, "medianCount": 69, "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": 10, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 19, "gpaPercentile": 11, "countPercentile": 61, "medianCount": 57, "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": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.1216216216216215 ##### count 111 ##### university ###### size 954 ###### gpa Percentile 21 ###### count Percentile 73 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 63, "countPercentile": 66, "medianCount": 74.5, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 13, "countPercentile": 74, "medianCount": 50.5, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.8055555555555554 ##### count 108 ##### university ###### size 965 ###### gpa Percentile 4 ###### count Percentile 73 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 39, "countPercentile": 65, "medianCount": 83, "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": 10, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 21, "gpaPercentile": 10, "countPercentile": 80, "medianCount": 69, "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": 6, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.0889830508474576 ##### count 118 ##### university ###### size 991 ###### gpa Percentile 17 ###### count Percentile 75 ###### median Count 67 ###### 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 | 22 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 57, "countPercentile": 63, "medianCount": 66, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 21, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 29, "countPercentile": 79, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.3 ##### count 110 ##### university ###### size 955 ###### gpa Percentile 35 ###### count Percentile 72 ###### 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 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 84, "countPercentile": 61, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 22, "gpaPercentile": 48, "countPercentile": 71, "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": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.25 ##### count 70 ##### university ###### size 1025 ###### gpa Percentile 27 ###### count Percentile 50 ###### 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 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 80, "countPercentile": 40, "medianCount": 80, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 21, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 39, "countPercentile": 61, "medianCount": 65.5, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.3541666666666665 ##### count 72 ##### university ###### size 1010 ###### gpa Percentile 36 ###### count Percentile 53 ###### 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 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 80, "countPercentile": 43, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 38, "countPercentile": 58, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.331081081081081 ##### count 74 ##### university ###### size 1077 ###### gpa Percentile 33 ###### count Percentile 54 ###### median Count 67 ###### 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 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 87, "countPercentile": 39, "medianCount": 99, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 46, "countPercentile": 46, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.4305555555555554 ##### count 72 ##### university ###### size 1040 ###### gpa Percentile 41 ###### count Percentile 54 ###### median Count 67 ###### 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 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 38, "gpaPercentile": 81, "countPercentile": 51, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 23, "gpaPercentile": 55, "countPercentile": 41, "medianCount": 79, "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": 9, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.1838235294117645 ##### count 136 ##### university ###### size 1102 ###### gpa Percentile 20 ###### count Percentile 77 ###### 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 | 14 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 40, "gpaPercentile": 67, "countPercentile": 62, "medianCount": 90.5, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 31, "countPercentile": 79, "medianCount": 80.5, "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": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.5636363636363635 ##### count 55 ##### university ###### size 1012 ###### gpa Percentile 28 ###### count Percentile 42 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 29, "gpaPercentile": 79, "countPercentile": 32, "medianCount": 83, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 38, "countPercentile": 31, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.0968992248062017 ##### count 129 ##### university ###### size 1111 ###### gpa Percentile 8 ###### count Percentile 75 ###### 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 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 35, "countPercentile": 63, "medianCount": 87, "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": 18, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 17, "countPercentile": 71, "medianCount": 100, "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": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.8931297709923665 ##### count 131 ##### university ###### size 1157 ###### gpa Percentile 83 ###### count Percentile 76 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 95, "countPercentile": 68, "medianCount": 63, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 87, "countPercentile": 81, "medianCount": 55.5, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.919491525423729 ##### count 118 ##### university ###### size 1171 ###### gpa Percentile 85 ###### count Percentile 76 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 97, "countPercentile": 67, "medianCount": 87.5, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 92, "countPercentile": 65, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.13768115942029 ##### count 69 ##### university ###### size 1216 ###### gpa Percentile 11 ###### count Percentile 52 ###### 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 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 43, "countPercentile": 50, "medianCount": 69, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 26, "countPercentile": 65, "medianCount": 60.5, "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": 11, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.6214285714285714 ##### count 70 ##### university ###### size 1188 ###### gpa Percentile 47 ###### count Percentile 53 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 85, "countPercentile": 53, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 75, "countPercentile": 54, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.3349056603773586 ##### count 106 ##### university ###### size 1295 ###### gpa Percentile 22 ###### count Percentile 69 ###### median Count 67 ###### 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 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 74, "countPercentile": 57, "medianCount": 80, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 36, "countPercentile": 70, "medianCount": 55, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 2.9788732394366195 ##### count 71 ##### university ###### size 1241 ###### gpa Percentile 4 ###### count Percentile 54 ###### 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 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 24, "countPercentile": 52, "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": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 11, "countPercentile": 61, "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": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.0303030303030303 ##### count 132 ##### university ###### size 1333 ###### gpa Percentile 5 ###### count Percentile 76 ###### 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 | true | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 29, "countPercentile": 69, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 19, "countPercentile": 74, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.449275362318841 ##### count 69 ##### university ###### size 1289 ###### gpa Percentile 27 ###### count Percentile 51 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 82, "countPercentile": 34, "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": 6, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 28, "gpaPercentile": 44, "countPercentile": 48, "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": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.3284671532846715 ##### count 137 ##### university ###### size 1320 ###### gpa Percentile 18 ###### count Percentile 77 ###### 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": "MATH", "comparison": { "size": 43, "gpaPercentile": 62, "countPercentile": 67, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 43, "countPercentile": 75, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 2.975 ##### count 120 ##### university ###### size 1283 ###### gpa Percentile 4 ###### count Percentile 75 ###### 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 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 32, "countPercentile": 68, "medianCount": 80, "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": 17, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 26, "gpaPercentile": 20, "countPercentile": 72, "medianCount": 66, "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": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5646 ###### gpa 3.679988230527926 ###### top Share 83.05126375539265 ###### count 217 ##### MATH ###### size 136 ###### gpa 3.5542799040397917 ###### top Share 75.35571248746817 ###### count 228.5 ##### STAT ###### size 77 ###### gpa 3.59197583283729 ###### top Share 78.23527231560661 ###### count 405 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MATH ###### size 21 ###### gpa 2.878188611674867 ###### top Share 40.4748751710427 ###### count 115 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ###### STAT ###### size 10 ###### gpa 3.181469252605204 ###### top Share 50.79697144214053 ###### count 66.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ###### STAT ###### size 11 ###### gpa 3.2851296989222463 ###### top Share 61.121424545066226 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"count": 136, "sections": 2, "gpa": 3.1838235294117645 }, { "term": "1204", "count": 55, "sections": 1, "gpa": 3.5636363636363635 }, { "term": "1212", "count": 129, "sections": 2, "gpa": 3.0968992248062017 }, { "term": "1232", "count": 69, "sections": 1, "gpa": 3.13768115942029 }, { "term": "1244", "count": 34, "sections": 1, "gpa": 3.0441176470588234 }, { "term": "1252", "count": 64, "sections": 1, "gpa": 2.921875 }, { "term": "1262", "count": 66, "sections": 1, "gpa": 3.227272727272727 }, { "term": "1264", "count": 58, "sections": 1, "gpa": 3.1551724137931036 } ] }, { "uid": "instructor_a1a6312441a09a9ee137f7b1", "name": "GARVESH RASKUTTI", "count": 499, "terms": [ { "term": "1142", "count": 43, "sections": 1, "gpa": 3.2209302325581395 }, { "term": "1144", "count": 52, "sections": 1, "gpa": 2.7788461538461537 }, { "term": "1152", "count": 79, "sections": 2, "gpa": 2.9367088607594938 }, { "term": "1162", "count": 54, "sections": 1, "gpa": 3.037037037037037 }, { "term": "1164", 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3.3333333333333335 } ] }, { "uid": "instructor_f65ad5805424979bbca8b21b", "name": "GARY HOWARD SCHROEDER", "count": 36, "terms": [ { "term": "1082", "count": 36, "sections": 1, "gpa": 3.125 } ] } ] ``` ## following | code | title | | ---------------------- | ----------------------------------------------------------------- | | ACTSCI 300 | PROBABILITY FOR ACTUARIES | | ACTSCI 650 | FUNDAMENTALS OF LONG-TERM ACTUARIAL MODELING | | COMPSCI 540 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | | COMPSCI 541 | THEORY & ALGORITHMS FOR DATA SCIENCE | | COMPSCI 566 | INTRODUCTION TO COMPUTER VISION | | COMPSCI 580 | INTELLIGENT ROBOTICS | | COMPSCI/ECE 561 | PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING | | ECE/ISYE 570 | ETHICS OF DATA FOR ENGINEERS | | ECON/FINANCE 300 | INTRODUCTION TO FINANCE | | GENBUS 317 | MATHEMATICAL FOUNDATIONS OF BUSINESS ANALYTICS | | ISYE 312 | DATA MANAGEMENT AND ANALYSIS FOR INDUSTRIAL ENGINEERS | | ISYE 315 | PRODUCTION PLANNING AND CONTROL | | ISYE 320 | SIMULATION AND PROBABILISTIC MODELING | | ISYE 373 | ARTIFICIAL INTELLIGENCE (AI) IN SYSTEMS | | ISYE 412 | FUNDAMENTALS OF INDUSTRIAL DATA ANALYTICS | | ISYE 516 | INTRODUCTION TO DECISION ANALYSIS | | ISYE 517 | DECISION MAKING IN HEALTH CARE | | ISYE 521 | MACHINE LEARNING IN ACTION FOR INDUSTRIAL ENGINEERS | | ISYE 624 | STOCHASTIC MODELING TECHNIQUES | | ISYE/MATH/OTM/STAT 632 | INTRODUCTION TO STOCHASTIC PROCESSES | | ISYE/ME 512 | INSPECTION, QUALITY CONTROL AND RELIABILITY | | ISYE/NE 574 | METHODS FOR PROBABILISTIC RISK ANALYSIS OF NUCLEAR POWER PLANTS | | ISYE/PSYCH 349 | INTRODUCTION TO HUMAN FACTORS | | MATH 535 | MATHEMATICAL METHODS IN DATA SCIENCE | | MATH 616 | DATA-DRIVEN DYNAMICAL SYSTEMS, STOCHASTIC MODELING AND PREDICTION | | MATH/STAT 310 | INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS II | | MEDPHYS 674 | DATA SCIENCE IN MEDICAL PHYSICS | | OTM 453 | OPERATIONS ANALYTICS | | RMI 655 | RISK FINANCING TECHNIQUES | | RMI 660 | RISK ANALYTICS AND BEHAVIORAL SCIENCE | | SOC 362 | STATISTICS FOR SOCIOLOGISTS III | | STAT 312 | INTRODUCTION TO THEORY AND METHODS OF MATHEMATICAL STATISTICS II | | STAT 461 | FINANCIAL STATISTICS | ## projection ### target 1272 ### interval #### lower 2.58 #### upper 4 #### coverage 80 #### terms 8 ### gpa 3.2984792682027204 ### grades | grade | percentage | | ----- | ------------------ | | A | 45.04581932685657 | | AB | 16.802294054645802 | | B | 17.189091371716817 | | BC | 6.553496140819226 | | C | 9.13018751172473 | | D | 4.6452308309375265 | | F | 0.6338807632993244 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 575 ### same Season true ### historical Range * 3.0303030303030303 * 3.893129770992366 ### backtest #### terms 8 #### gpa Error 0.20818598133905097 #### mix Error 18.02265119567739