# CNSRSCI 564: Retail Financial Analysis | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_564) ## 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 34d889663414f6a4455e35f0f241680fee8016a2b7105d399f6c4de2f0bed2d9 ### course id CNSRSCI 564 ### course uid course\_16d7150117c99c98c5c53c17 ### catalog version id d32f9240d10c181310b3b346d26c7bfadd344c99205b4bf7aaaa796c4d96338d ### course number 564 ### subjects * CNSRSCI ### title RETAIL FINANCIAL ANALYSIS ### description Provides tools for planning and analyzing retail financial performance. Includes elements of retail financial statements, pricing, purchasing terms and conditions, merchandise planning, inventory control, and economic factors that impact retail businesses. ### requirements text CNSR SCI 257, (ACCT I S 100or300orGEN BUS 310), and (GEN BUS 106orA A E 335), or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:271:022241 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 55dd8e2d09075d8282b122df68665bfe20cb7ab521ae9d45d32ed9c9f69dbe4c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers tools for planning and analyzing retail financial performance, including financial statements, pricing, purchasing, merchandise planning, inventory control, and economic factors. ### llm topics * Retail financial statements * Pricing * Purchasing terms and conditions * Merchandise planning * Inventory control * Economic factors impacting retail businesses ### llm skills * Planning and analyzing retail financial performance * Retail financial statements, pricing, purchasing terms, merchandise planning, inventory control, and economic factor analysis ### llm assumed background * Introduction to retail industry fundamentals and trends * Introductory or principles-level financial accounting * Fundamentals of accounting and finance for non-business majors * Foundational business analysis skills using Excel * Data analysis using spreadsheets for business and finance ### llm search phrases * retail financial analysis tools * retail financial statements planning * retail pricing purchasing terms * merchandise planning inventory control * retail business economic factors ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 66c87f0c124fb51a872eab626eb6d3ba7b7219003b24e961ad1e7897455a4b21 #### course id CNSRSCI 564 #### current instructors ```json [ { "instructor_uid": "instructor_e6ef41efbbff66a804b0c32f", "message": "No course-specific reviews available", "name": "Lavanya Sehgal", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.23 GPA, 59.6% A/AB (n=178 letter grades); Spring 2026: 2.66 GPA, 31.7% A/AB (n=167 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_c87bb2ffb4b7da0709aa227a", "message": "No course-specific reviews available", "name": "Murray Murray", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 2.81 GPA, 36.7% A/AB (n=158 letter grades); Fall 2025: 3.23 GPA, 59.6% A/AB (n=178 letter grades); Spring 2026: 2.66 GPA, 31.7% A/AB (n=167 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 2.81 GPA, 36.7% A/AB (n=158 letter grades); Fall 2025: 3.23 GPA, 59.6% A/AB (n=178 letter grades); Spring 2026: 2.66 GPA, 31.7% A/AB (n=167 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history LAVANYA SEHGAL is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MURRAY MURRAY is recorded teaching in Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", 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"b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "CNSRSCI 564", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "source_record": { "entity_id": "b1c25a18-dab3-3414-84b3-cfb919cc536a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n10" ], "condition": null, "course": null, "evidence": "CNSR SCI 257, (ACCT I S 100or300orGEN BUS 310), and (GEN BUS 106orA A E 335), or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n2", "n3", "n7" ], "condition": null, "course": null, "evidence": "CNSR SCI 257, (ACCT I S 100or300orGEN BUS 310), and (GEN BUS 106orA A E 335)", "id": "n1", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 257, "minimum_grade": null, "subjects": [ "CNSRSCI" ], "timing": "prior" }, "evidence": "CNSR SCI 257", "id": "n2", "kind": "course" }, { "children": [ "n4", "n5", "n6" ], "condition": null, "course": null, "evidence": "(ACCT I S 100or300orGEN BUS 310)", "id": "n3", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 100, "minimum_grade": null, "subjects": [ "ACCTIS" ], "timing": "prior" }, "evidence": "ACCT I S 100", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "ACCTIS" ], "timing": "prior" }, "evidence": "300", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 310", "id": "n6", "kind": "course" }, { "children": [ "n8", "n9" ], "condition": null, "course": null, "evidence": "(GEN BUS 106orA A E 335)", "id": "n7", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 106, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 106", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 335, "minimum_grade": null, "subjects": [ "AAE" ], "timing": "prior" }, "evidence": "A A E 335", "id": "n9", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n10", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------------- | ---------------------- | -------------------------------- | -------------------------------- | ---------------------------- | | instructor\_e6ef41efbbff66a804b0c32f | enrollment | lsehgal | netid | source\_identified | Lavanya Sehgal | LSEHGAL\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/LAVANYA\_SEHGAL | | instructor\_c87bb2ffb4b7da0709aa227a | enrollment | njmurray | netid | source\_identified | Murray Murray | NANCY.MURRAY\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MURRAY\_MURRAY | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:271:022241", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1272", "source_course_id": "022241", "source_subject_id": "271", "title": "Retail Financial Analysis", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12453", "term_id": "1272", "source_section_id": "12453", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 59, "enrolled": 60, "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:1272:21442", "term_id": "1272", "source_section_id": "21442", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 60, "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:1272:37373", "term_id": "1272", "source_section_id": "37373", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 60, "enrolled": 60, "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_01b7596962b0163059e3328f", "source": "madgrades", "source_instructor_id": "3013548", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANN HOYT", "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": 3.564, "graded": 39, "counts": [ 16, 13, 9, 1, 0, 0, 0 ], "sections": 21 }, "instructor_url": "/instructors/ANN_HOYT" }, { "instructor_uid": "instructor_7de2a08dfc50290126a1584f", "source": "madgrades", "source_instructor_id": "475025", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BETTY JANE HURD", "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": 3.795, "graded": 408, "counts": [ 321, 43, 28, 8, 4, 2, 2 ], "sections": 9 }, "instructor_url": "/instructors/BETTY_JANE_HURD" }, { "instructor_uid": "instructor_24e341440a64c460aab019f4", "source": "madgrades", "source_instructor_id": "4603556", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBERT BEHNKE", "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": 3.602, "graded": 59, "counts": [ 33, 15, 6, 0, 5, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ROBERT_BEHNKE--instructor_24e341440a64c460aab019f4" }, { "instructor_uid": "instructor_6f3ad29661705dd7bb6f28b8", "source": "madgrades", "source_instructor_id": "1047292", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MYOUNG-HEE KIM", "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": 3.728, "graded": 46, "counts": [ 28, 11, 7, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/MYOUNG-HEE_KIM--instructor_6f3ad29661705dd7bb6f28b8" }, { "instructor_uid": "instructor_7a02f580e7328c3566601a5d", "source": "madgrades", "source_instructor_id": "142740", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBERTA RIPORTELLA", "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": 3.56, "graded": 149, "counts": [ 66, 52, 23, 5, 1, 1, 1 ], "sections": 10 }, "instructor_url": "/instructors/ROBERTA_RIPORTELLA" }, { "instructor_uid": "instructor_d78d15d1f33f03a2797f7ef0", "source": "madgrades", "source_instructor_id": "4843335", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL GIBLER", "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": 4, "quality": 2, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:1494022", "source_url": "https://www.ratemyprofessors.com/professor/1494022", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:29.339052+00:00", "courses": { "course_d68ae7a2fa68407d62f2519f": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.3830714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.663, "graded": 153, "counts": [ 80, 53, 16, 2, 1, 0, 1 ], "sections": 5 }, "instructor_url": "/instructors/PAUL_GIBLER--instructor_d78d15d1f33f03a2797f7ef0" }, { "instructor_uid": "instructor_4c548bcc181e24fbeb36ce0e", "source": "madgrades", "source_instructor_id": "5315426", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MURRAY MURRAY", "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": 3.476, "graded": 5618, "counts": [ 2957, 1156, 656, 390, 287, 137, 35 ], "sections": 96 }, "instructor_url": "/instructors/MURRAY_MURRAY--instructor_4c548bcc181e24fbeb36ce0e" }, { "instructor_uid": "instructor_44146205df681837a6401b39", "source": "madgrades", "source_instructor_id": "5512224", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SALEHA SYEDA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.155, "graded": 58, "counts": [ 17, 9, 13, 15, 3, 1, 0 ], "sections": 1 }, "instructor_url": "/instructors/SALEHA_SYEDA" }, { "instructor_uid": "instructor_a16039492b64bc71cf0086da", "source": "madgrades", "source_instructor_id": "4979418", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAROUNY BONAL", "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": 3.613, "graded": 464, "counts": [ 295, 76, 45, 23, 14, 10, 1 ], "sections": 4 }, "instructor_url": "/instructors/DAROUNY_BONAL--instructor_a16039492b64bc71cf0086da" }, { "instructor_uid": "instructor_806cf1485919a0e2f3aa2580", "source": "madgrades", "source_instructor_id": "6331582", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LOGAN HASH", "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": 3.097, "graded": 233, "counts": [ 70, 56, 30, 25, 41, 11, 0 ], "sections": 5 }, "instructor_url": "/instructors/LOGAN_HASH--instructor_806cf1485919a0e2f3aa2580" }, { "instructor_uid": "instructor_b694596104a533f80af505a0", "source": "madgrades", "source_instructor_id": "6362526", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAVANYA SEHGAL", "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": 2.955, "graded": 345, "counts": [ 79, 80, 59, 57, 42, 20, 8 ], "sections": 6 }, "instructor_url": "/instructors/LAVANYA_SEHGAL--instructor_b694596104a533f80af505a0" }, { "instructor_uid": "instructor_c87bb2ffb4b7da0709aa227a", "source": "enrollment", "source_instructor_id": "njmurray", "identity_basis": "netid", "identity_status": "source_identified", "name": "Murray Murray", "email": "NANCY.MURRAY@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/MURRAY_MURRAY" }, { "instructor_uid": "instructor_e6ef41efbbff66a804b0c32f", "source": "enrollment", "source_instructor_id": "lsehgal", "identity_basis": "netid", "identity_status": "source_identified", "name": "Lavanya Sehgal", "email": "LSEHGAL@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/LAVANYA_SEHGAL" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "ANN HOYT" ], "a": 3, "ab": 10, "b": 8, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "BETTY JANE HURD" ], "a": 19, "ab": 13, "b": 7, "bc": 3, "c": 2, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "ROBERT BEHNKE" ], "a": 33, "ab": 15, "b": 6, "bc": 0, "c": 5, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 59, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "ROBERTA RIPORTELLA", "Young Mie Kim" ], "a": 28, "ab": 11, "b": 7, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "PAUL GIBLER" ], "a": 17, "ab": 22, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "BETTY JANE HURD" ], "a": 25, "ab": 2, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "PAUL GIBLER" ], "a": 22, "ab": 13, "b": 8, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Murray Murray" ], "a": 24, "ab": 12, "b": 3, "bc": 4, "c": 5, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Murray Murray" ], "a": 11, "ab": 8, "b": 6, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Murray Murray" ], "a": 7, "ab": 20, "b": 7, "bc": 3, "c": 4, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Murray Murray" ], "a": 13, "ab": 9, "b": 1, "bc": 3, "c": 1, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Murray Murray" ], "a": 9, "ab": 12, "b": 11, "bc": 9, "c": 5, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Murray Murray" ], "a": 17, "ab": 8, "b": 14, "bc": 10, "c": 6, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1174", 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0, "no_work": 0, "not_reported": 0, "other": 0, "total": 77, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Murray Murray" ], "a": 42, "ab": 24, "b": 16, "bc": 9, "c": 4, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 98, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Murray Murray" ], "a": 32, "ab": 28, "b": 23, "bc": 20, "c": 13, "d": 11, "f": 0, "satisfactory": 0, "unsatisfactory": 0, 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35, "bc": 28, "c": 20, "d": 15, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 159, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "DAROUNY BONAL", "Murray Murray" ], "a": 37, "ab": 52, "b": 37, "bc": 24, "c": 21, "d": 7, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 179, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "LOGAN HASH", "Murray Murray" ], "a": 24, "ab": 34, "b": 29, "bc": 22, "c": 38, "d": 11, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 158, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Lavanya Sehgal", "Murray Murray" ], "a": 55, "ab": 51, "b": 33, "bc": 20, "c": 11, "d": 6, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 178, "source_aliases": [ "CNSRSCI 564" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 564", "course_uid": "course_16d7150117c99c98c5c53c17", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Lavanya Sehgal", "Murray Murray" ], "a": 24, "ab": 29, "b": 26, "bc": 37, "c": 31, "d": 14, "f": 6, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 167, "source_aliases": [ "CNSRSCI 564" ] } ] ``` ### statistics #### gpa 3.185 #### graded 2419 #### counts * 761 * 608 * 434 * 271 * 225 * 104 * 16 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_16d7150117c99c98c5c53c17-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_16d7150117c99c98c5c53c17-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_16d7150117c99c98c5c53c17-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_16d7150117c99c98c5c53c17-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_16d7150117c99c98c5c53c17-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_16d7150117c99c98c5c53c17-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_16d7150117c99c98c5c53c17-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_16d7150117c99c98c5c53c17-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.185407193054981 #### count 2419 #### university ##### size 5654 ##### gpa Percentile 6 ##### count Percentile 94 ##### median Count 210 ##### 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 | 9 | false | | 2.8–3.2 | 340 | true | | 3.2–3.6 | 1500 | false | | 3.6–4.0 | 3804 | false | #### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 34, "gpaPercentile": 3, "countPercentile": 82, "medianCount": 1054.5, "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": 2, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.340909090909091 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1084 ##### term 1084 ##### gpa 3.4444444444444446 ##### count 45 ##### university ###### size 720 ###### gpa Percentile 59 ###### count Percentile 27 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1094 ##### term 1094 ##### gpa 3.6016949152542375 ##### count 59 ##### university ###### size 758 ###### gpa Percentile 69 ###### count Percentile 42 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1104 ##### term 1104 ##### gpa 3.7282608695652173 ##### count 46 ##### university ###### size 793 ###### gpa Percentile 78 ###### count Percentile 31 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1114 ##### term 1114 ##### gpa 3.6511627906976742 ##### count 43 ##### university ###### size 804 ###### gpa Percentile 75 ###### count Percentile 24 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1124 ##### term 1124 ##### gpa 3.896551724137931 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1134 ##### term 1134 ##### gpa 3.6363636363636362 ##### count 44 ##### university ###### size 852 ###### gpa Percentile 70 ###### count Percentile 26 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1144 ##### term 1144 ##### gpa 3.4791666666666665 ##### count 48 ##### university ###### size 878 ###### gpa Percentile 57 ###### count Percentile 31 ###### 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 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1152 ##### term 1152 ##### gpa 3.482142857142857 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1154 ##### term 1154 ##### gpa 3.2261904761904763 ##### count 42 ##### university ###### size 935 ###### gpa Percentile 31 ###### count Percentile 24 ###### 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 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1162 ##### term 1162 ##### gpa 3.310344827586207 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1164 ##### term 1164 ##### gpa 3.03125 ##### count 48 ##### university ###### size 965 ###### gpa Percentile 13 ###### count Percentile 32 ###### 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": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 8, "countPercentile": 31, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.1052631578947367 ##### count 57 ##### university ###### size 991 ###### gpa Percentile 18 ###### count Percentile 40 ###### 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": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 8, "countPercentile": 31, "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": 4, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.4270833333333335 ##### count 48 ##### university ###### size 955 ###### gpa Percentile 45 ###### count Percentile 31 ###### 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": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 23, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.3392857142857144 ##### count 56 ##### university ###### size 1025 ###### gpa Percentile 35 ###### count Percentile 38 ###### 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": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 31, "countPercentile": 31, "medianCount": 75, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.2454545454545456 ##### count 55 ##### university ###### size 1010 ###### gpa Percentile 26 ###### count Percentile 39 ###### 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": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 13, "countPercentile": 44, "medianCount": 73, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3 ##### count 50 ##### university ###### size 1077 ###### gpa Percentile 9 ###### count Percentile 34 ###### 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 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 18, "gpaPercentile": 12, "countPercentile": 41, "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": 3, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.324561403508772 ##### count 57 ##### university ###### size 1040 ###### gpa Percentile 32 ###### count Percentile 41 ###### 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": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 6, "countPercentile": 31, "medianCount": 71, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.433333333333333 ##### count 45 ##### university ###### size 1102 ###### gpa Percentile 39 ###### count Percentile 29 ###### 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 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 38, "countPercentile": 19, "medianCount": 78, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.560344827586207 ##### count 58 ##### university ###### size 1012 ###### gpa Percentile 27 ###### count Percentile 45 ###### 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": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 6, "countPercentile": 38, "medianCount": 71, "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": 2, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.439814814814815 ##### count 108 ##### university ###### size 1111 ###### gpa Percentile 30 ###### count Percentile 71 ###### 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 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 18, "gpaPercentile": 18, "countPercentile": 65, "medianCount": 84, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.247422680412371 ##### count 97 ##### university ###### size 1157 ###### gpa Percentile 19 ###### count Percentile 66 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 0, "countPercentile": 65, "medianCount": 58, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 2.987012987012987 ##### count 77 ##### university ###### size 1171 ###### gpa Percentile 6 ###### count Percentile 58 ###### 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 | true | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 20, "gpaPercentile": 0, "countPercentile": 53, "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": 1, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.392857142857143 ##### count 98 ##### university ###### size 1216 ###### gpa Percentile 28 ###### count Percentile 67 ###### 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 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 20, "gpaPercentile": 11, "countPercentile": 53, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.0078740157480315 ##### count 127 ##### university ###### size 1188 ###### gpa Percentile 6 ###### count Percentile 77 ###### 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 | true | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 19, "gpaPercentile": 0, "countPercentile": 61, "medianCount": 117, "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": 1, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.1748466257668713 ##### count 163 ##### university ###### size 1295 ###### gpa Percentile 12 ###### count Percentile 83 ###### 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 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 0, "countPercentile": 75, "medianCount": 117, "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": 1, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 2.842767295597484 ##### count 159 ##### university ###### size 1241 ###### gpa Percentile 1 ###### count Percentile 84 ###### 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": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 0, "countPercentile": 73, "medianCount": 104, "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": 1, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.0898876404494384 ##### count 178 ##### university ###### size 1333 ###### gpa Percentile 6 ###### count Percentile 84 ###### 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": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 0, "countPercentile": 73, "medianCount": 104, "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": 1, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 18, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 2.810126582278481 ##### count 158 ##### university ###### size 1289 ###### gpa Percentile 1 ###### count Percentile 83 ###### 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 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 0, "countPercentile": 73, "medianCount": 90, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.2331460674157304 ##### count 178 ##### university ###### size 1320 ###### gpa Percentile 12 ###### count Percentile 84 ###### 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": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 5, "countPercentile": 70, "medianCount": 118, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 2.658682634730539 ##### count 167 ##### university ###### size 1283 ###### gpa Percentile 1 ###### count Percentile 83 ###### 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 | true | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 22, "gpaPercentile": 0, "countPercentile": 71, "medianCount": 105, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5654 ###### gpa 3.681120075031949 ###### top Share 83.13190258671175 ###### count 210 ##### CNSRSCI ###### size 34 ###### gpa 3.6231353638462283 ###### top Share 81.29156933323704 ###### count 1054.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### CNSRSCI ###### size 14 ###### gpa 3.4255503603894755 ###### top Share 69.8423264256298 ###### count 66 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### CNSRSCI ###### size 14 ###### gpa 3.4758058955291706 ###### top Share 72.40039806741547 ###### count 65.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### CNSRSCI ###### size 14 ###### gpa 3.5088714082159456 ###### top Share 72.6770801501247 ###### count 69 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### CNSRSCI ###### size 17 ###### gpa 3.5145694086277337 ###### top Share 74.60378274938202 ###### count 75 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### CNSRSCI ###### size 17 ###### gpa 3.5513839958204554 ###### top Share 76.70287623872456 ###### count 73 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### CNSRSCI ###### size 18 ###### gpa 3.4921746087581855 ###### top Share 74.01951479564612 ###### count 55 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### CNSRSCI ###### size 17 ###### gpa 3.5378693411054614 ###### top Share 76.8596088120517 ###### count 71 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### CNSRSCI ###### size 17 ###### gpa 3.4936403985695 ###### top Share 74.03070168013859 ###### count 78 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### CNSRSCI ###### size 17 ###### gpa 3.7304394114977595 ###### top Share 89.91371180365307 ###### count 71 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### CNSRSCI ###### size 18 ###### gpa 3.661772272360077 ###### top Share 83.33475336135731 ###### count 84 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### CNSRSCI ###### size 21 ###### gpa 3.6219066273341127 ###### top Share 81.61770534110484 ###### count 58 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### CNSRSCI ###### size 20 ###### gpa 3.5454759115101373 ###### top Share 79.46534212003172 ###### count 70.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### CNSRSCI ###### size 20 ###### gpa 3.617834368808565 ###### top Share 81.83628160426352 ###### count 90.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### CNSRSCI ###### size 19 ###### gpa 3.6048767735668403 ###### top Share 80.03346364170125 ###### count 117 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### CNSRSCI ###### size 21 ###### gpa 3.697912728932925 ###### top Share 86.42551064398879 ###### count 117 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### CNSRSCI ###### size 23 ###### gpa 3.5862228593095566 ###### top Share 79.17919283986976 ###### count 104 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### CNSRSCI ###### size 23 ###### gpa 3.6691705419603458 ###### top Share 84.48369653925197 ###### count 104 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### CNSRSCI ###### size 23 ###### gpa 3.564727474066601 ###### top Share 79.63337143038319 ###### count 90 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### CNSRSCI ###### size 21 ###### gpa 3.6261464494189632 ###### top Share 81.76866165097593 ###### count 118 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### CNSRSCI ###### size 22 ###### gpa 3.51605863991461 ###### top Share 75.92309209656172 ###### count 105 ## instructor Trends ```json [ { "uid": "instructor_4c548bcc181e24fbeb36ce0e", "name": "MURRAY MURRAY", "count": 2131, "terms": [ { "term": "1144", "count": 48, "sections": 1, "gpa": 3.4791666666666665 }, { "term": "1152", "count": 28, "sections": 1, "gpa": 3.482142857142857 }, { "term": "1154", "count": 42, "sections": 1, "gpa": 3.2261904761904763 }, { "term": "1162", "count": 29, "sections": 1, "gpa": 3.310344827586207 }, { "term": "1164", "count": 48, "sections": 1, "gpa": 3.03125 }, { "term": "1172", "count": 57, "sections": 1, "gpa": 3.1052631578947367 }, { "term": "1174", "count": 48, "sections": 1, "gpa": 3.4270833333333335 }, { "term": "1182", "count": 56, "sections": 1, "gpa": 3.3392857142857144 }, { "term": "1184", "count": 55, "sections": 1, "gpa": 3.2454545454545456 }, { "term": "1192", "count": 50, "sections": 1, "gpa": 3 }, { "term": "1194", "count": 57, "sections": 1, "gpa": 3.324561403508772 }, { "term": "1202", "count": 45, "sections": 1, "gpa": 3.433333333333333 }, { "term": "1204", "count": 58, "sections": 1, "gpa": 3.560344827586207 }, { "term": "1212", "count": 108, "sections": 2, "gpa": 3.439814814814815 }, { "term": "1222", "count": 97, "sections": 2, "gpa": 3.247422680412371 }, { "term": "1224", "count": 77, "sections": 2, "gpa": 2.987012987012987 }, { "term": "1232", "count": 98, "sections": 2, "gpa": 3.392857142857143 }, { "term": "1234", "count": 127, "sections": 3, "gpa": 3.0078740157480315 }, { "term": "1242", "count": 163, "sections": 4, "gpa": 3.1748466257668713 }, { "term": "1244", "count": 159, "sections": 3, "gpa": 2.842767295597484 }, { "term": "1252", "count": 178, "sections": 4, "gpa": 3.0898876404494384 }, { "term": "1254", "count": 158, "sections": 3, "gpa": 2.810126582278481 }, { "term": "1262", "count": 178, "sections": 3, "gpa": 3.2331460674157304 }, { "term": "1264", "count": 167, "sections": 3, "gpa": 2.658682634730539 } ] }, { "uid": "instructor_b694596104a533f80af505a0", "name": "LAVANYA SEHGAL", "count": 345, "terms": [ { "term": "1262", "count": 178, "sections": 3, "gpa": 3.2331460674157304 }, { "term": "1264", "count": 167, "sections": 3, "gpa": 2.658682634730539 } ] }, { "uid": "instructor_806cf1485919a0e2f3aa2580", "name": "LOGAN HASH", "count": 158, "terms": [ { "term": "1254", "count": 158, "sections": 3, "gpa": 2.810126582278481 } ] }, { "uid": "instructor_a16039492b64bc71cf0086da", "name": "DAROUNY BONAL", "count": 117, "terms": [ { "term": "1252", "count": 117, "sections": 2, "gpa": 3.1837606837606836 } ] }, { "uid": "instructor_d78d15d1f33f03a2797f7ef0", "name": "PAUL GIBLER", "count": 87, "terms": [ { "term": "1114", "count": 43, "sections": 1, "gpa": 3.6511627906976742 }, { "term": "1134", "count": 44, "sections": 1, "gpa": 3.6363636363636362 } ] }, { "uid": "instructor_7de2a08dfc50290126a1584f", "name": "BETTY JANE HURD", "count": 74, "terms": [ { "term": "1084", "count": 45, "sections": 1, "gpa": 3.4444444444444446 }, { "term": "1124", "count": 29, "sections": 1, "gpa": 3.896551724137931 } ] }, { "uid": "instructor_24e341440a64c460aab019f4", "name": "ROBERT BEHNKE", "count": 59, "terms": [ { "term": "1094", "count": 59, "sections": 1, "gpa": 3.6016949152542375 } ] }, { "uid": "instructor_44146205df681837a6401b39", "name": "SALEHA SYEDA", "count": 58, "terms": [ { "term": "1244", "count": 58, "sections": 1, "gpa": 3.1551724137931036 } ] }, { "uid": "instructor_6f3ad29661705dd7bb6f28b8", "name": "MYOUNG-HEE KIM", "count": 46, "terms": [ { "term": "1104", "count": 46, "sections": 1, "gpa": 3.7282608695652173 } ] }, { "uid": "instructor_7a02f580e7328c3566601a5d", "name": "ROBERTA RIPORTELLA", "count": 46, "terms": [ { "term": "1104", "count": 46, "sections": 1, "gpa": 3.7282608695652173 } ] }, { "uid": "instructor_01b7596962b0163059e3328f", "name": "ANN HOYT", "count": 22, "terms": [ { "term": "1072", "count": 22, "sections": 1, "gpa": 3.340909090909091 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 2.96 #### upper 3.47 #### coverage 80 #### terms 8 ### gpa 3.2140186837535225 ### grades | grade | percentage | | ----- | ------------------ | | A | 30.76818546781977 | | AB | 28.05150887853125 | | B | 18.03043807528269 | | BC | 10.733316760401273 | | C | 7.530951382669033 | | D | 4.162336537024477 | | F | 0.7232628982714915 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 714 ### same Season true ### historical Range * 3.0898876404494384 * 3.392857142857143 ### backtest #### terms 8 #### gpa Error 0.13185424183250521 #### mix Error 10.742117331046162