# CNSRSCI 635: Estate Planning for Financial Planners | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_635) ## 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 f1785e73ac1563401d8b984e547a4b94e5f0411f51b2b93fcc58935644b8b9f4 ### course id CNSRSCI 635 ### course uid course\_adb082f411569f4ce3a4e3df ### catalog version id 7bca3e9313a5839226d7d447991904df07b0cb2b91533c7c07638220aea3d99f ### course number 635 ### subjects * CNSRSCI ### title ESTATE PLANNING FOR FINANCIAL PLANNERS ### description Analysis from a financial planner's perspective of the process of planning the accumulation, conservation, and distribution of an estate, in the manner that most effectively and efficiently accomplishes an individual's personal tax and non-tax objectives. ### requirements text CNSR SCI 275orFINANCE/​ECON  300 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id e94755e5f140e8f1bef15aea7db429ee548b45ece490ca5ff2735bddcb94ea55 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CNSRSCI 635 teaches estate planning analysis for financial planners, focusing on accumulation, conservation, and distribution to meet tax and non-tax objectives. ### llm topics * Estate accumulation, conservation, and distribution. * Personal tax and non-tax objectives in estate planning. ### llm skills * Analyzing estate planning processes from a financial planner's perspective. * Planning estate accumulation, conservation, and distribution. * Achieving personal tax and non-tax objectives through estate planning. ### llm assumed background * Foundations in personal financial planning or corporate finance and investments. ### llm search phrases * estate planning financial planner * personal financial planning accumulation distribution * CNSRSCI 635 estate planning ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 141e4b2772dd28263babc10855a62b3879ce3da2c72fdca83f85e322f990ec6b #### course id CNSRSCI 635 #### current instructors None recorded. #### difficulty workload Historical reviews of Lisa Andrews: Exams are not overly difficult, as the instructor focuses on material comprehension rather than rigorous testing. ```json { "citations": [ { "instructor_name": "Lisa Andrews", "review_date": "2018-11-03 16:50:04 +0000 UTC", "review_id": "27f550649d240febeafb5cb9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2418539", "source_review_id": "UmF0aW5nLTMwNjUzMTU5", "source_url": "https://www.ratemyprofessors.com/professor/2418539", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Lisa Andrews: Lisa Andrews is described as a knowledgeable CFP and firm owner who prioritizes student learning over difficult exams. Reviewers note she is accessible, cares about students, and is highly rated, though this course was her first time teaching it at the time. ```json { "citations": [ { "instructor_name": "Lisa Andrews", "review_date": "2018-11-03 16:50:04 +0000 UTC", "review_id": "27f550649d240febeafb5cb9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2418539", "source_review_id": "UmF0aW5nLTMwNjUzMTU5", "source_url": "https://www.ratemyprofessors.com/professor/2418539", "type": "review" } ] } ``` #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews of Lisa Andrews: Lisa Andrews is a highly rated, accessible instructor who prioritizes student learning over difficult exams. ```json { "citations": [ { "instructor_name": "Lisa Andrews", "review_date": "2018-11-03 16:50:04 +0000 UTC", "review_id": "27f550649d240febeafb5cb9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2418539", "source_review_id": "UmF0aW5nLTMwNjUzMTU5", "source_url": "https://www.ratemyprofessors.com/professor/2418539", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.29 GPA, 58.1% A/AB (n=105 letter grades); Spring 2025: 3.48 GPA, 76.9% A/AB (n=108 letter grades); Spring 2026: 3.41 GPA, 70.3% A/AB (n=118 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Lisa Andrews: Students find the instructor extremely knowledgeable, caring, and accessible, making it a favorite course experience. ```json { "citations": [ { "instructor_name": "Lisa Andrews", "review_date": "2018-11-03 16:50:04 +0000 UTC", "review_id": "27f550649d240febeafb5cb9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2418539", "source_review_id": "UmF0aW5nLTMwNjUzMTU5", "source_url": "https://www.ratemyprofessors.com/professor/2418539", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history LISA ANDREWS is recorded teaching in Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Spring 2023, Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 104, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "CNSRSCI 635", "run_id": "20260907T155543-ce3781c4", "section_number": 103, "source_course_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "source_record": { "entity_id": "575c7fef-9020-3dd3-84b6-8aa04a5fbec8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "CNSR SCI 275orFINANCE/ECON 300", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 275, "minimum_grade": null, "subjects": [ "CNSRSCI" ], "timing": "prior" }, "evidence": "CNSR SCI 275", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "ECON", "FINANCE" ], "timing": "prior" }, "evidence": "FINANCE/ECON 300", "id": "n2", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_79c110a3d774f23d4c2f5e52", "source": "madgrades", "source_instructor_id": "1581151", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBERT MCCALLA", "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": 7, "quality": 4.71, "difficulty": 1.43, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:1505853", "source_url": "https://www.ratemyprofessors.com/professor/1505853", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:34.309743+00:00", "courses": {}, "bayesian_quality": 3.9319894692937742, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.109, "graded": 1115, "counts": [ 212, 306, 299, 180, 86, 28, 4 ], "sections": 24 }, "instructor_url": "/instructors/ROBERT_MCCALLA" }, { "instructor_uid": "instructor_4c97c7e9d53d6053980f48d6", "source": "madgrades", "source_instructor_id": "3108550", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NEIL DINNDORF", "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": 3.067, "graded": 45, "counts": [ 8, 10, 14, 6, 7, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/NEIL_DINNDORF--instructor_4c97c7e9d53d6053980f48d6" }, { "instructor_uid": "instructor_d96a60fbe56d0b8e39435790", "source": "madgrades", "source_instructor_id": "1658816", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NATHAN KUBLANK", "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": 3.357, "graded": 77, "counts": [ 17, 34, 15, 9, 2, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/NATHAN_KUBLANK--instructor_d96a60fbe56d0b8e39435790" }, { "instructor_uid": "instructor_1d7e8f3f6ce7170f9b34495a", "source": "madgrades", "source_instructor_id": "5690380", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DOMINIK PIEHLMAIER", "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": 3.134, "graded": 321, "counts": [ 49, 110, 79, 60, 17, 4, 2 ], "sections": 8 }, "instructor_url": "/instructors/DOMINIK_PIEHLMAIER" }, { "instructor_uid": "instructor_5de3df80e102d841ac4a6046", "source": "madgrades", "source_instructor_id": "5831777", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CLIFFORD ROBB", "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": 3.277, "graded": 1008, "counts": [ 278, 338, 172, 153, 49, 12, 6 ], "sections": 34 }, "instructor_url": "/instructors/CLIFFORD_ROBB" }, { "instructor_uid": "instructor_feb2109cd62a928f7ab3bf0a", "source": "madgrades", "source_instructor_id": "450006", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HEATHER WILLBORN", "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": 3.239, "graded": 119, "counts": [ 25, 43, 26, 20, 2, 3, 0 ], "sections": 3 }, "instructor_url": "/instructors/HEATHER_WILLBORN--instructor_feb2109cd62a928f7ab3bf0a" }, { "instructor_uid": "instructor_a50dad3d9921fd678be18a94", "source": "madgrades", "source_instructor_id": "3812585", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LISA ANDREWS", "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": 8, "quality": 4.88, "difficulty": 2.38, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2418539", "source_url": "https://www.ratemyprofessors.com/professor/2418539", "match_basis": "exact_name", "observed_at": "2026-09-07 16:23:05.411244+00:00", "courses": { "course_adb082f411569f4ce3a4e3df": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.008346988247568, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.431, "graded": 1530, "counts": [ 646, 447, 200, 147, 55, 23, 12 ], "sections": 39 }, "instructor_url": "/instructors/LISA_ANDREWS--instructor_a50dad3d9921fd678be18a94" }, { "instructor_uid": "instructor_2c495a4b1fe98231434987f8", "source": "madgrades", "source_instructor_id": "704695", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIMOTHY SUGAR", "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": 3.075, "graded": 73, "counts": [ 10, 24, 20, 11, 5, 3, 0 ], "sections": 3 }, "instructor_url": "/instructors/TIMOTHY_SUGAR--instructor_2c495a4b1fe98231434987f8" }, { "instructor_uid": "instructor_7080c2af8de6de6246a76dcd", "source": "madgrades", "source_instructor_id": "6786895", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHEN XU", "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": 3.716, "graded": 167, "counts": [ 113, 37, 10, 0, 4, 1, 2 ], "sections": 7 }, "instructor_url": "/instructors/CHEN_XU--instructor_7080c2af8de6de6246a76dcd" }, { "instructor_uid": "instructor_565096968e44d6018e286d29", "source": "madgrades", "source_instructor_id": "6706070", "identity_basis": "source_id", "identity_status": "source_identified", "name": "OMAR JASSEY", "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": 3.715, "graded": 351, "counts": [ 250, 55, 24, 7, 9, 4, 2 ], "sections": 4 }, "instructor_url": "/instructors/OMAR_JASSEY--instructor_565096968e44d6018e286d29" }, { "instructor_uid": "instructor_9d6e4cc0cb2d777663893492", "source": "madgrades", "source_instructor_id": "4634009", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EMMA CRAWFORD", "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": 3.641, "graded": 256, "counts": [ 162, 50, 19, 12, 9, 4, 0 ], "sections": 8 }, "instructor_url": "/instructors/EMMA_CRAWFORD--instructor_9d6e4cc0cb2d777663893492" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "ROBERT MCCALLA" ], "a": 6, "ab": 8, "b": 7, "bc": 7, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "ROBERT MCCALLA" ], "a": 12, "ab": 14, "b": 13, "bc": 10, "c": 1, "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": 50, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "NATHAN KUBLANK", "NEIL DINNDORF" ], "a": 14, "ab": 19, "b": 22, "bc": 13, "c": 8, "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": 76, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "CLIFFORD ROBB", "DOMINIK PIEHLMAIER" ], "a": 5, "ab": 5, "b": 8, "bc": 5, "c": 1, "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": 27, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "CLIFFORD ROBB", "DOMINIK PIEHLMAIER" ], "a": 2, "ab": 16, "b": 16, "bc": 3, "c": 2, "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": 39, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "HEATHER WILLBORN" ], "a": 6, "ab": 19, "b": 11, "bc": 4, "c": 1, "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": 41, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "HEATHER WILLBORN" ], "a": 18, "ab": 15, "b": 9, "bc": 3, "c": 0, "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": 46, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "LISA ANDREWS" ], "a": 14, "ab": 16, "b": 6, "bc": 8, "c": 3, "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": 47, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "LISA ANDREWS" ], "a": 18, "ab": 14, "b": 4, "bc": 3, "c": 3, "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": 42, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "LISA ANDREWS" ], "a": 5, "ab": 13, "b": 11, "bc": 11, "c": 6, "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": 48, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "LISA ANDREWS" ], "a": 8, "ab": 10, "b": 6, "bc": 2, "c": 0, "d": 2, "f": 0, "satisfactory": 10, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "LISA ANDREWS" ], "a": 9, "ab": 21, "b": 7, "bc": 5, "c": 2, "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 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "LISA ANDREWS" ], "a": 16, "ab": 11, "b": 2, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "LISA ANDREWS" ], "a": 12, "ab": 22, "b": 9, "bc": 5, "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": 48, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "LISA ANDREWS", "TIMOTHY SUGAR" ], "a": 43, "ab": 31, "b": 25, "bc": 15, "c": 12, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 1, "other": 0, "total": 130, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "LISA ANDREWS", "TIMOTHY SUGAR" ], "a": 27, "ab": 34, "b": 28, "bc": 10, "c": 3, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 105, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Chen Xu", "NATHAN KUBLANK", "TIMOTHY SUGAR" ], "a": 35, "ab": 48, "b": 16, "bc": 5, "c": 3, "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": 108, "source_aliases": [ "CNSRSCI 635" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 635", "course_uid": "course_adb082f411569f4ce3a4e3df", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Chen Xu", "Emma Crawford", "Omar Jassey" ], "a": 58, "ab": 25, "b": 10, "bc": 12, "c": 10, "d": 3, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 6, "other": 0, "total": 125, "source_aliases": [ "CNSRSCI 635" ] } ] ``` ### statistics #### gpa 3.31 #### graded 1054 #### counts * 308 * 341 * 210 * 123 * 56 * 14 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_adb082f411569f4ce3a4e3df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_adb082f411569f4ce3a4e3df-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_adb082f411569f4ce3a4e3df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_adb082f411569f4ce3a4e3df-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_adb082f411569f4ce3a4e3df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_adb082f411569f4ce3a4e3df-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_adb082f411569f4ce3a4e3df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_adb082f411569f4ce3a4e3df-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.310246679316888 #### count 1054 #### university ##### size 4933 ##### gpa Percentile 11 ##### count Percentile 90 ##### median Count 161 ##### 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 | 7 | false | | 2.8–3.2 | 322 | false | | 3.2–3.6 | 1324 | true | | 3.6–4.0 | 3279 | false | #### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 32, "gpaPercentile": 6, "countPercentile": 71, "medianCount": 728, "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": 9, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } } ] ``` ### terms #### 1144 ##### term 1144 ##### gpa 3.189655172413793 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1154 ##### term 1154 ##### gpa 3.26 ##### count 50 ##### university ###### size 935 ###### gpa Percentile 34 ###### count Percentile 36 ###### 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 | | #### 1164 ##### term 1164 ##### gpa 3.1184210526315788 ##### count 76 ##### university ###### size 965 ###### gpa Percentile 19 ###### count Percentile 56 ###### 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": 15, "countPercentile": 54, "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 2.888888888888889 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1174 ##### term 1174 ##### gpa 3.1666666666666665 ##### count 39 ##### university ###### size 955 ###### gpa Percentile 23 ###### count Percentile 16 ###### 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 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 8, "countPercentile": 0, "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": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.3048780487804876 ##### count 41 ##### university ###### size 1025 ###### gpa Percentile 32 ###### count Percentile 19 ###### 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": 25, "countPercentile": 19, "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 3.4782608695652173 ##### count 46 ##### university ###### size 1010 ###### gpa Percentile 47 ###### 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 | 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": 50, "countPercentile": 19, "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 3.3191489361702127 ##### count 47 ##### university ###### size 1077 ###### gpa Percentile 31 ###### count Percentile 31 ###### 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": "CNSRSCI", "comparison": { "size": 18, "gpaPercentile": 24, "countPercentile": 35, "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": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.488095238095238 ##### count 42 ##### university ###### size 1040 ###### gpa Percentile 47 ###### count Percentile 23 ###### 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": 31, "countPercentile": 6, "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 2.9574468085106385 ##### count 47 ##### university ###### size 1102 ###### gpa Percentile 5 ###### 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 | 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": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 0, "countPercentile": 31, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.2857142857142856 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1212 ##### term 1212 ##### gpa 3.340909090909091 ##### count 44 ##### university ###### size 1111 ###### gpa Percentile 23 ###### count Percentile 26 ###### 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": 6, "countPercentile": 24, "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 3.661290322580645 ##### count 31 ##### university ###### size 1157 ###### gpa Percentile 53 ###### count Percentile 3 ###### 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": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 40, "countPercentile": 0, "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": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.4270833333333335 ##### count 48 ##### university ###### size 1171 ###### gpa Percentile 32 ###### count Percentile 35 ###### 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 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 20, "gpaPercentile": 21, "countPercentile": 32, "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": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.265625 ##### count 128 ##### university ###### size 1188 ###### gpa Percentile 19 ###### count Percentile 78 ###### 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 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 19, "gpaPercentile": 6, "countPercentile": 67, "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": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.2857142857142856 ##### count 105 ##### university ###### size 1241 ###### gpa Percentile 18 ###### count Percentile 73 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 9, "countPercentile": 55, "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": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.4768518518518516 ##### count 108 ##### university ###### size 1289 ###### gpa Percentile 30 ###### count Percentile 73 ###### 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": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 23, "countPercentile": 64, "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": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.4110169491525424 ##### count 118 ##### university ###### size 1283 ###### gpa Percentile 23 ###### 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 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 22, "gpaPercentile": 24, "countPercentile": 57, "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": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4933 ###### gpa 3.6774442549633712 ###### top Share 82.95268255257562 ###### count 161 ##### CNSRSCI ###### size 32 ###### gpa 3.6017845918614118 ###### top Share 80.44603914054316 ###### count 728 #### terms ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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_a50dad3d9921fd678be18a94", "name": "LISA ANDREWS", "count": 470, "terms": [ { "term": "1192", "count": 47, "sections": 1, "gpa": 3.3191489361702127 }, { "term": "1194", "count": 42, "sections": 1, "gpa": 3.488095238095238 }, { "term": "1202", "count": 47, "sections": 1, "gpa": 2.9574468085106385 }, { "term": "1204", "count": 28, "sections": 1, "gpa": 3.2857142857142856 }, { "term": "1212", "count": 44, "sections": 1, "gpa": 3.340909090909091 }, { "term": "1222", "count": 31, "sections": 1, "gpa": 3.661290322580645 }, { "term": "1224", "count": 48, "sections": 1, "gpa": 3.4270833333333335 }, { "term": "1234", "count": 97, "sections": 3, "gpa": 3.365979381443299 }, { "term": "1244", "count": 86, "sections": 3, "gpa": 3.3197674418604652 } ] }, { "uid": "instructor_feb2109cd62a928f7ab3bf0a", "name": "HEATHER WILLBORN", "count": 87, "terms": [ { "term": "1182", "count": 41, "sections": 1, "gpa": 3.3048780487804876 }, { "term": "1184", "count": 46, "sections": 1, "gpa": 3.4782608695652173 } ] }, { "uid": "instructor_7080c2af8de6de6246a76dcd", "name": "CHEN XU", "count": 80, "terms": [ { "term": "1254", "count": 39, "sections": 2, "gpa": 3.6538461538461537 }, { "term": "1264", "count": 41, "sections": 2, "gpa": 3.707317073170732 } ] }, { "uid": "instructor_79c110a3d774f23d4c2f5e52", "name": "ROBERT MCCALLA", "count": 79, "terms": [ { "term": "1144", "count": 29, "sections": 1, "gpa": 3.189655172413793 }, { "term": "1154", "count": 50, "sections": 1, "gpa": 3.26 } ] }, { "uid": "instructor_9d6e4cc0cb2d777663893492", "name": "EMMA CRAWFORD", "count": 77, "terms": [ { "term": "1264", "count": 77, "sections": 2, "gpa": 3.2532467532467533 } ] }, { "uid": "instructor_d96a60fbe56d0b8e39435790", "name": "NATHAN KUBLANK", "count": 77, "terms": [ { "term": "1164", "count": 31, "sections": 1, "gpa": 3.193548387096774 }, { "term": "1254", "count": 46, "sections": 1, "gpa": 3.467391304347826 } ] }, { "uid": "instructor_2c495a4b1fe98231434987f8", "name": "TIMOTHY SUGAR", "count": 73, "terms": [ { "term": "1234", "count": 31, "sections": 1, "gpa": 2.9516129032258065 }, { "term": "1244", "count": 19, "sections": 1, "gpa": 3.1315789473684212 }, { "term": "1254", "count": 23, "sections": 1, "gpa": 3.1956521739130435 } ] }, { "uid": "instructor_1d7e8f3f6ce7170f9b34495a", "name": "DOMINIK PIEHLMAIER", "count": 66, "terms": [ { "term": "1172", "count": 27, "sections": 1, "gpa": 2.888888888888889 }, { "term": "1174", "count": 39, "sections": 1, "gpa": 3.1666666666666665 } ] }, { "uid": "instructor_5de3df80e102d841ac4a6046", "name": "CLIFFORD ROBB", "count": 66, "terms": [ { "term": "1172", "count": 27, "sections": 1, "gpa": 2.888888888888889 }, { "term": "1174", "count": 39, "sections": 1, "gpa": 3.1666666666666665 } ] }, { "uid": "instructor_4c97c7e9d53d6053980f48d6", "name": "NEIL DINNDORF", "count": 45, "terms": [ { "term": "1164", "count": 45, "sections": 1, "gpa": 3.066666666666667 } ] }, { "uid": "instructor_565096968e44d6018e286d29", "name": "OMAR JASSEY", "count": 41, "terms": [ { "term": "1264", "count": 41, "sections": 2, "gpa": 3.707317073170732 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.428102876959429 ### grades | grade | percentage | | ----- | ------------------- | | A | 38.038876019182325 | | AB | 32.834244993249584 | | B | 14.762712056371738 | | BC | 8.579430470627106 | | C | 4.31305512675757 | | D | 1.3721035436419833 | | F | 0.09957779016968055 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 * 1222 ### source Count 538 ### same Season false ### historical Range * 3.265625 * 3.661290322580645