# MARKETNG 460: Marketing Strategy | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_460) ## 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 455b4bf6fa52e5a6df62c10b2834b0ce48063f100c324e8d056d3874e81c20b4 ### course id MARKETNG 460 ### course uid course\_c17b68abae395b0b19e26619 ### catalog version id abf311327e26337228019064fd4340bef8b5ed2d2137e6601027af015c1e0d8d ### course number 460 ### subjects * MARKETNG ### title MARKETING STRATEGY ### description A capstone in strategic marketing decision making, emphasizing analysis of the external environment. Focuses on the integration of prior learning, new frameworks, and application of marketing strategy from a "real world" perspective. ### requirements text MARKETNG 300,305, and310 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:237:003171 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 79ca023af3dc0c4165b5741fe3f1893b9657d0c4d2c8118a5d2fc4cf34a417fb ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MARKETING STRATEGY is a capstone course teaching strategic marketing decision making and external environment analysis. ### llm topics * External environment analysis. * Real-world marketing strategy application. ### llm skills * Strategic marketing decision making. * Analysis of the external marketing environment. * Integration of prior learning and application of marketing strategy frameworks. ### llm assumed background * Marketing management fundamentals including the marketing mix and program planning. * Consumer behavior analysis from psychological, economic, and sociological perspectives. * Marketing research methods for systematic information search and analysis. ### llm search phrases * strategic marketing capstone * marketing strategy external environment * MARKETNG 460 integration frameworks ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 1638bc81653d54a4435951c85544341e05f6549c5a649229044ed9d554da1839 #### course id MARKETNG 460 #### current instructors ```json [ { "instructor_uid": "instructor_269b2e83c390843e84a76444", "message": "No course-specific reviews available", "name": "Mary Kathryn Malone", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 100, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.58 GPA, 90.8% A/AB (n=98 letter grades); Fall 2025: 3.60 GPA, 84.3% A/AB (n=83 letter grades); Spring 2026: 3.33 GPA, 66.7% A/AB (n=15 letter grades)." } ] }, { "instructor_uid": "instructor_ace62644276ec10804a2c064", "message": "No course-specific reviews available", "name": "Milt Hwang", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3005982", "summary": [ { "citations": [ { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.54 GPA, 89.7% A/AB (n=39 letter grades); Spring 2026: 3.46 GPA, 88.7% A/AB (n=124 letter grades)." } ] } ] ``` #### 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: 3.50 GPA, 82.3% A/AB (n=175 letter grades); Fall 2025: 3.58 GPA, 86.1% A/AB (n=122 letter grades); Spring 2026: 3.45 GPA, 86.3% A/AB (n=139 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "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 MARY KATHRYN MALONE is recorded teaching in 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": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 100, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MILT HWANG is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MARKETNG 460", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "source_record": { "entity_id": "d514eef5-d380-3f4b-9bfa-41bf0005e1df", "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", "n2", "n3" ], "condition": null, "course": null, "evidence": "MARKETNG 300,305, and310", "id": "n0", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "MARKETNG 300", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 305, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "305", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "310", "id": "n3", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_269b2e83c390843e84a76444", "source": "enrollment", "source_instructor_id": "mkmalone", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mary Kathryn Malone", "email": "MARYKATHRYN.MALONE@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/MARY_KATHRYN_MALONE" }, { "instructor_uid": "instructor_ace62644276ec10804a2c064", "source": "enrollment", "source_instructor_id": "mthwang3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Milt Hwang", "email": "MILTON.HWANG@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 4.22, "difficulty": 2.33, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:3005982", "source_url": "https://www.ratemyprofessors.com/professor/3005982", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:59.205062+00:00", "courses": { "course_93b34408c52c60993d510b24": { "review_count": 2, "quality": 4.5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.8335764024459276, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MILT_HWANG" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:003171", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1272", "source_course_id": "003171", "source_subject_id": "237", "title": "Marketing Strategy", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10985", "term_id": "1272", "source_section_id": "10985", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 22, "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:1272:22488", "term_id": "1272", "source_section_id": "22488", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 39, "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:1272:31093", "term_id": "1272", "source_section_id": "31093", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 20, "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_9c961e1ad4153a4399bbf2ad", "source": "madgrades", "source_instructor_id": "2601482", "identity_basis": "source_id", "identity_status": "source_identified", "name": "J PAUL PETER", "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": 3.796, "graded": 49, "counts": [ 29, 20, 0, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/J_PAUL_PETER" }, { "instructor_uid": "instructor_cbdc70a1d64e494d9b7fe93b", "source": "madgrades", "source_instructor_id": "429932", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOANN JATKOWSKI PECK", "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": 3.604, "graded": 1121, "counts": [ 480, 438, 178, 15, 7, 2, 1 ], "sections": 79 }, "instructor_url": "/instructors/JOANN_JATKOWSKI_PECK" }, { "instructor_uid": "instructor_1b0404464871fe2d8e0a076b", "source": "madgrades", "source_instructor_id": "788184", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARCIA KASIETA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 6, "quality": 2.67, "difficulty": 3.17, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:216839", "source_url": "https://www.ratemyprofessors.com/professor/216839", "match_basis": "exact_name", "observed_at": "2026-09-07 16:21:17.165335+00:00", "courses": {}, "bayesian_quality": 3.431296756574304, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.578, "graded": 618, "counts": [ 287, 209, 71, 38, 11, 2, 0 ], "sections": 14 }, "instructor_url": "/instructors/MARCIA_KASIETA" }, { "instructor_uid": "instructor_7c1dcdc715bd276f37a22d76", "source": "madgrades", "source_instructor_id": "3368732", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALOK KUMAR", "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": 3.416, "graded": 101, "counts": [ 18, 49, 33, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/ALOK_KUMAR" }, { "instructor_uid": "instructor_7ce9d4b4297e76c18a59c995", "source": "madgrades", "source_instructor_id": "4450255", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TORSTEN RINGBERG", "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": 3.712, "graded": 80, "counts": [ 47, 22, 10, 0, 1, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/TORSTEN_RINGBERG--instructor_7ce9d4b4297e76c18a59c995" }, { "instructor_uid": "instructor_cb97f2ed0764f2cd54cd36de", "source": "madgrades", "source_instructor_id": "461628", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MALCOLM THORNE", "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": 3.419, "graded": 209, "counts": [ 46, 96, 60, 3, 3, 1, 0 ], "sections": 5 }, "instructor_url": "/instructors/MALCOLM_THORNE--instructor_cb97f2ed0764f2cd54cd36de" }, { "instructor_uid": "instructor_548251aef873fc2a65f1ddc4", "source": "madgrades", "source_instructor_id": "4539921", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAURIE BRACHMAN", "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": 171, "quality": 2.99, "difficulty": 3.23, "quality_count": 171, "difficulty_count": 171, "profile_id": "rmp:1231408", "source_url": "https://www.ratemyprofessors.com/professor/1231408", "match_basis": "exact_name", "observed_at": "2026-09-07 16:23:54.554158+00:00", "courses": { "course_c4daa7a544a44fc041c25e3f": { "review_count": 1, "quality": 2, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.0601241658163976, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.201, "graded": 16692, "counts": [ 2986, 5902, 4609, 2111, 751, 225, 108 ], "sections": 80 }, "instructor_url": "/instructors/LAURIE_BRACHMAN--instructor_548251aef873fc2a65f1ddc4" }, { "instructor_uid": "instructor_e320761ea1b2e974f139a8f0", "source": "madgrades", "source_instructor_id": "4978707", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TODD BRACHMAN", "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": 3.36, "graded": 150, "counts": [ 32, 49, 64, 5, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/TODD_BRACHMAN--instructor_e320761ea1b2e974f139a8f0" }, { "instructor_uid": "instructor_e3a8c23027128c53eb2e6f72", "source": "madgrades", "source_instructor_id": "5127431", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BORBALA KULCSAR", "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": 3.75, "difficulty": 2.25, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:1879800", "source_url": "https://www.ratemyprofessors.com/professor/1879800", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:37.709139+00:00", "courses": { "course_20ad8a3fe94b90ec70d01ecd": { "review_count": 4, "quality": 3.75, "difficulty": 2.25, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.6747381529554963, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.545, "graded": 585, "counts": [ 245, 196, 109, 26, 8, 0, 1 ], "sections": 15 }, "instructor_url": "/instructors/BORBALA_KULCSAR--instructor_e3a8c23027128c53eb2e6f72" }, { "instructor_uid": "instructor_75eef1d7ac835277095e70c0", "source": "madgrades", "source_instructor_id": "5277454", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EVAN POLMAN", "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": 5, "difficulty": 2.12, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2446887", "source_url": "https://www.ratemyprofessors.com/professor/2446887", "match_basis": "exact_name", "observed_at": "2026-09-07 16:40:03.402130+00:00", "courses": {}, "bayesian_quality": 4.042632702533282, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.533, "graded": 1151, "counts": [ 473, 382, 224, 58, 8, 5, 1 ], "sections": 45 }, "instructor_url": "/instructors/EVAN_POLMAN--instructor_75eef1d7ac835277095e70c0" }, { "instructor_uid": "instructor_9459fc6df3a6d816c80bf08b", "source": "madgrades", "source_instructor_id": "5277707", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LIAD WEISS", "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": 5, "quality": 2.4, "difficulty": 2.6, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:2341337", "source_url": "https://www.ratemyprofessors.com/professor/2341337", "match_basis": "exact_name", "observed_at": "2026-09-07 16:23:27.860844+00:00", "courses": {}, "bayesian_quality": 3.4077486268372765, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.427, "graded": 990, "counts": [ 295, 359, 253, 66, 16, 0, 1 ], "sections": 29 }, "instructor_url": "/instructors/LIAD_WEISS--instructor_9459fc6df3a6d816c80bf08b" }, { "instructor_uid": "instructor_a40f67c0f49cf7927ac1a871", "source": "madgrades", "source_instructor_id": "5325764", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUSTY STOUGH", "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": 3.543, "graded": 70, "counts": [ 22, 36, 9, 2, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/RUSTY_STOUGH--instructor_a40f67c0f49cf7927ac1a871" }, { "instructor_uid": "instructor_2768d94ded2f6859da5235b4", "source": "madgrades", "source_instructor_id": "5314039", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANIL ISISAG", "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": 3.462, "graded": 26, "counts": [ 5, 14, 7, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ANIL_ISISAG" }, { "instructor_uid": "instructor_01239d655be318dcf09af2e0", "source": "madgrades", "source_instructor_id": "3658092", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAMES WINDSOR", "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": 24, "quality": 2.17, "difficulty": 3.08, "quality_count": 24, "difficulty_count": 24, "profile_id": "rmp:2696150", "source_url": "https://www.ratemyprofessors.com/professor/2696150", "match_basis": "exact_name", "observed_at": "2026-09-07 16:34:27.493235+00:00", "courses": { "course_c4daa7a544a44fc041c25e3f": { "review_count": 15, "quality": 1.8, "difficulty": 3.33, "quality_count": 15, "difficulty_count": 15 }, "course_93b34408c52c60993d510b24": { "review_count": 9, "quality": 2.78, "difficulty": 2.67, "quality_count": 9, "difficulty_count": 9 } }, "bayesian_quality": 2.847129901612089, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.279, "graded": 3978, "counts": [ 840, 1520, 1062, 331, 155, 42, 28 ], "sections": 53 }, "instructor_url": "/instructors/JAMES_WINDSOR--instructor_01239d655be318dcf09af2e0" }, { "instructor_uid": "instructor_0309ca6a279ad7cdb1fed830", "source": "madgrades", "source_instructor_id": "4589656", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SARA KLUNK", "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": 3.8, "graded": 40, "counts": [ 28, 10, 1, 0, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SARA_KLUNK" }, { "instructor_uid": "instructor_07987a0b91a9aac3043c8861", "source": "madgrades", "source_instructor_id": "6312802", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DEVON SMITH", "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": 3.568, "graded": 132, "counts": [ 54, 48, 25, 4, 1, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/DEVON_SMITH--instructor_07987a0b91a9aac3043c8861" }, { "instructor_uid": "instructor_d39c0242d98688b322522931", "source": "madgrades", "source_instructor_id": "6177944", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YEPENG JIN", "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": 3.542, "graded": 532, "counts": [ 220, 184, 93, 25, 9, 1, 0 ], "sections": 15 }, "instructor_url": "/instructors/YEPENG_JIN--instructor_d39c0242d98688b322522931" }, { "instructor_uid": "instructor_be140ae1cb024aed09d72396", "source": "madgrades", "source_instructor_id": "6034206", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TANISHKA JAIN", "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": 3.541, "graded": 508, "counts": [ 242, 127, 95, 33, 8, 3, 0 ], "sections": 16 }, "instructor_url": "/instructors/TANISHKA_JAIN--instructor_be140ae1cb024aed09d72396" }, { "instructor_uid": "instructor_df96019cf7e084d215f1b7c7", "source": "madgrades", "source_instructor_id": "6447891", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KELLY BOUDREAU", "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": 3.422, "graded": 590, "counts": [ 208, 203, 112, 39, 17, 9, 2 ], "sections": 16 }, "instructor_url": "/instructors/KELLY_BOUDREAU--instructor_df96019cf7e084d215f1b7c7" }, { "instructor_uid": "instructor_37bb8b000cf0825bc1651fc5", "source": "madgrades", "source_instructor_id": "5913125", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WONSUK JUNG", "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": 3.616, "graded": 603, "counts": [ 317, 158, 98, 17, 10, 3, 0 ], "sections": 16 }, "instructor_url": "/instructors/WONSUK_JUNG" }, { "instructor_uid": "instructor_5629eff0fa4655044dbf5efb", "source": "madgrades", "source_instructor_id": "464957", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL JOHNSON", "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": 3.528, "graded": 161, "counts": [ 60, 50, 51, 0, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/MICHAEL_JOHNSON--instructor_5629eff0fa4655044dbf5efb" }, { "instructor_uid": "instructor_c2223f06709ea82195bd71e7", "source": "madgrades", "source_instructor_id": "3039276", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARY KATHRYN MALONE", "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": 3.693, "graded": 1337, "counts": [ 705, 485, 124, 13, 6, 3, 1 ], "sections": 32 }, "instructor_url": "/instructors/MARY_KATHRYN_MALONE--instructor_c2223f06709ea82195bd71e7" }, { "instructor_uid": "instructor_0a4a6c5bdb3c199d2e3e3660", "source": "madgrades", "source_instructor_id": "833953", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MILT HWANG", "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": 9, "quality": 4.22, "difficulty": 2.33, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:3005982", "source_url": "https://www.ratemyprofessors.com/professor/3005982", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:59.205062+00:00", "courses": { "course_93b34408c52c60993d510b24": { "review_count": 2, "quality": 4.5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.8335764024459276, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.415, "graded": 1417, "counts": [ 454, 601, 207, 70, 53, 17, 15 ], "sections": 19 }, "instructor_url": "/instructors/MILT_HWANG--instructor_0a4a6c5bdb3c199d2e3e3660" }, { "instructor_uid": "instructor_269b2e83c390843e84a76444", "source": "enrollment", "source_instructor_id": "mkmalone", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mary Kathryn Malone", "email": "MARYKATHRYN.MALONE@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/MARY_KATHRYN_MALONE" }, { "instructor_uid": "instructor_ace62644276ec10804a2c064", "source": "enrollment", "source_instructor_id": "mthwang3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Milt Hwang", "email": "MILTON.HWANG@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 4.22, "difficulty": 2.33, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:3005982", "source_url": "https://www.ratemyprofessors.com/professor/3005982", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:59.205062+00:00", "courses": { "course_93b34408c52c60993d510b24": { "review_count": 2, "quality": 4.5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.8335764024459276, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MILT_HWANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "J PAUL PETER" ], "a": 29, "ab": 20, "b": 0, "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": 50, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "Joann Peck" ], "a": 29, "ab": 44, "b": 30, "bc": 6, "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": 110, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "MARCIA KASIETA" ], "a": 17, "ab": 11, "b": 10, "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": 47, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "ALOK KUMAR", "TORSTEN RINGBERG" ], "a": 43, "ab": 40, "b": 22, "bc": 0, "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": 106, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "Joann Peck" ], "a": 21, "ab": 19, "b": 16, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "MALCOLM THORNE" ], "a": 16, "ab": 53, "b": 30, "bc": 0, "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": 100, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "Joann Peck" ], "a": 13, "ab": 21, "b": 10, "bc": 0, "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": 46, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "MALCOLM THORNE" ], "a": 30, "ab": 43, "b": 30, "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": 109, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "MARCIA KASIETA" ], "a": 19, "ab": 13, "b": 8, "bc": 9, "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": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "LAURIE BRACHMAN" ], "a": 16, "ab": 11, "b": 34, "bc": 16, "c": 19, "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": 99, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "Joann Peck" ], "a": 29, "ab": 34, "b": 8, "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": 71, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "MARCIA KASIETA" ], "a": 90, "ab": 24, "b": 4, "bc": 1, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 122, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "TODD BRACHMAN" ], "a": 14, "ab": 37, "b": 25, "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": 81, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "BORBALA KULCSAR", "TODD BRACHMAN" ], "a": 28, "ab": 28, "b": 55, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 112, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Evan Polman" ], "a": 23, "ab": 28, "b": 16, "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": 74, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "LIAD WEISS" ], "a": 27, "ab": 46, "b": 25, "bc": 5, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 104, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Evan Polman" ], "a": 32, "ab": 25, "b": 24, "bc": 5, "c": 0, "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": 88, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "LIAD WEISS" ], "a": 33, "ab": 34, "b": 35, "bc": 12, "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": 114, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Evan Polman" ], "a": 40, "ab": 32, "b": 18, "bc": 10, "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": 101, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "LIAD WEISS" ], "a": 32, "ab": 48, "b": 33, "bc": 7, "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": 121, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Evan Polman" ], "a": 42, "ab": 45, "b": 34, "bc": 10, "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": 131, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "LIAD WEISS" ], "a": 35, "ab": 50, "b": 25, "bc": 7, "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": 122, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Evan Polman", "RUSTY STOUGH" ], "a": 33, "ab": 35, "b": 15, "bc": 9, "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": 92, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "LIAD WEISS" ], "a": 38, "ab": 43, "b": 36, "bc": 9, "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": 127, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "ANIL ISISAG", "Evan Polman" ], "a": 33, "ab": 47, "b": 25, "bc": 2, "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": 108, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "LIAD WEISS" ], "a": 38, "ab": 35, "b": 31, "bc": 10, "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": 117, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Evan Polman" ], "a": 34, "ab": 32, "b": 11, "bc": 7, "c": 0, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 87, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "LIAD WEISS" ], "a": 38, "ab": 42, "b": 25, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 35, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 140, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Evan Polman", "James Windsor", "SARA KLUNK" ], "a": 56, "ab": 23, "b": 6, "bc": 1, "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": 87, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "DEVON SMITH", "Evan Polman" ], "a": 54, "ab": 48, "b": 25, "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": 132, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "James Windsor", "LIAD WEISS", "YEPENG JIN" ], "a": 27, "ab": 52, "b": 28, "bc": 8, "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": 117, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "James Windsor", "Kelly Boudreau", "TANISHKA JAIN" ], "a": 61, "ab": 31, "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": 106, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "LIAD WEISS", "Michael Johnson", "WONSUK JUNG" ], "a": 42, "ab": 40, "b": 54, "bc": 6, "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": 143, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Mary Kathryn Malone", "Michael Johnson" ], "a": 38, "ab": 50, "b": 19, "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": 107, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Kelly Boudreau", "Mary Kathryn Malone" ], "a": 30, "ab": 69, "b": 34, "bc": 8, "c": 4, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 147, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Mary Kathryn Malone", "Michael Johnson" ], "a": 60, "ab": 46, "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": 110, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Kelly Boudreau", "Mary Kathryn Malone" ], "a": 62, "ab": 82, "b": 17, "bc": 6, "c": 4, "d": 3, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 176, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Mary Kathryn Malone", "Milt Hwang" ], "a": 36, "ab": 69, "b": 17, "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": 122, "source_aliases": [ "MARKETNG 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 460", "course_uid": "course_c17b68abae395b0b19e26619", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Mary Kathryn Malone", "Milt Hwang" ], "a": 25, "ab": 95, "b": 14, "bc": 0, "c": 2, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 139, "source_aliases": [ "MARKETNG 460" ] } ] ``` ### statistics #### gpa 3.479 #### graded 4033 #### counts * 1363 * 1545 * 862 * 181 * 59 * 15 * 8 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c17b68abae395b0b19e26619-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c17b68abae395b0b19e26619-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c17b68abae395b0b19e26619-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c17b68abae395b0b19e26619-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_c17b68abae395b0b19e26619-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_c17b68abae395b0b19e26619-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c17b68abae395b0b19e26619-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c17b68abae395b0b19e26619-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.479047855194644 #### count 4033 #### university ##### size 5784 ##### gpa Percentile 22 ##### count Percentile 96 ##### median Count 240.5 ##### 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 | 12 | false | | 2.8–3.2 | 363 | false | | 3.2–3.6 | 1576 | true | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 48, "gpaPercentile": 15, "countPercentile": 94, "medianCount": 577.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 27, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.795918367346939 ##### count 49 ##### university ###### size 723 ###### gpa Percentile 85 ###### 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 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 36, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 5, "current": true } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 3.4272727272727272 ##### count 110 ##### university ###### size 695 ###### gpa Percentile 57 ###### count Percentile 70 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 91, "medianCount": 48, "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": 3, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 3.3191489361702127 ##### count 47 ##### university ###### size 723 ###### 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 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | true | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 13, "gpaPercentile": 17, "countPercentile": 33, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 4, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.5849056603773586 ##### count 106 ##### university ###### size 720 ###### gpa Percentile 69 ###### count Percentile 69 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 73, "medianCount": 63.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.482456140350877 ##### count 57 ##### university ###### size 732 ###### gpa Percentile 62 ###### count Percentile 40 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | true | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 55, "medianCount": 54, "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": 4, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.405 ##### count 100 ##### university ###### size 758 ###### gpa Percentile 52 ###### count Percentile 68 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 82, "medianCount": 76.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.467391304347826 ##### count 46 ##### university ###### size 774 ###### gpa Percentile 60 ###### count Percentile 29 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 11, "gpaPercentile": 40, "countPercentile": 60, "medianCount": 41, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.4311926605504586 ##### count 109 ##### university ###### size 793 ###### gpa Percentile 54 ###### count Percentile 72 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | true | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 73, "medianCount": 96, "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": 2, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.4 ##### count 50 ##### university ###### size 805 ###### gpa Percentile 53 ###### count Percentile 34 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 14, "gpaPercentile": 38, "countPercentile": 46, "medianCount": 51, "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": 5, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 2.8838383838383836 ##### count 99 ##### university ###### size 804 ###### gpa Percentile 10 ###### count Percentile 68 ###### 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 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 13, "gpaPercentile": 0, "countPercentile": 58, "medianCount": 95, "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": 4, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.647887323943662 ##### count 71 ##### university ###### size 804 ###### gpa Percentile 74 ###### count Percentile 50 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 14, "gpaPercentile": 62, "countPercentile": 54, "medianCount": 61.5, "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": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.7991803278688523 ##### count 122 ##### university ###### size 821 ###### gpa Percentile 79 ###### count Percentile 77 ###### 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 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 73, "medianCount": 101, "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": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.3703703703703702 ##### count 81 ##### university ###### size 851 ###### gpa Percentile 49 ###### count Percentile 59 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 21, "countPercentile": 57, "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": 8, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.3482142857142856 ##### count 112 ##### university ###### size 852 ###### gpa Percentile 43 ###### count Percentile 74 ###### 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 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 73, "medianCount": 68.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.439189189189189 ##### count 74 ##### university ###### size 853 ###### gpa Percentile 55 ###### count Percentile 55 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 50, "countPercentile": 57, "medianCount": 50, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.4278846153846154 ##### count 104 ##### university ###### size 878 ###### gpa Percentile 52 ###### count Percentile 72 ###### 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 ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 36, "countPercentile": 79, "medianCount": 49, "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": 3, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.4597701149425286 ##### count 87 ##### university ###### size 918 ###### gpa Percentile 56 ###### count Percentile 63 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 57, "countPercentile": 50, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.3859649122807016 ##### count 114 ##### university ###### size 935 ###### gpa Percentile 45 ###### count Percentile 75 ###### 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 ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 73, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.485148514851485 ##### count 101 ##### university ###### size 954 ###### gpa Percentile 53 ###### count Percentile 70 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 47, "countPercentile": 60, "medianCount": 89.5, "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": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.425619834710744 ##### count 121 ##### university ###### size 965 ###### gpa Percentile 45 ###### count Percentile 77 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 21, "countPercentile": 71, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 10, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.454198473282443 ##### count 131 ##### university ###### size 991 ###### gpa Percentile 47 ###### count Percentile 78 ###### 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 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 80, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.4221311475409837 ##### count 122 ##### university ###### size 955 ###### gpa Percentile 45 ###### count Percentile 77 ###### 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": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 80, "medianCount": 52.5, "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": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.5 ##### count 92 ##### university ###### size 1025 ###### gpa Percentile 49 ###### count Percentile 65 ###### 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": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 47, "countPercentile": 60, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 8, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.425196850393701 ##### count 127 ##### university ###### size 1010 ###### gpa Percentile 42 ###### count Percentile 77 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 20, "countPercentile": 73, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.4953703703703702 ##### count 108 ##### university ###### size 1077 ###### gpa Percentile 45 ###### count Percentile 71 ###### 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": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 38, "countPercentile": 69, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.405982905982906 ##### count 117 ##### university ###### size 1040 ###### gpa Percentile 39 ###### count Percentile 75 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 14, "countPercentile": 71, "medianCount": 72, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 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": 8, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.4825581395348837 ##### count 86 ##### university ###### size 1102 ###### gpa Percentile 44 ###### count Percentile 61 ###### 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": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 60, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 7, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.5619047619047617 ##### count 105 ##### university ###### size 1012 ###### gpa Percentile 27 ###### count Percentile 72 ###### 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": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 14, "countPercentile": 64, "medianCount": 47, "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": 10, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.7586206896551726 ##### count 87 ##### university ###### size 1111 ###### gpa Percentile 64 ###### count Percentile 59 ###### 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 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 53, "countPercentile": 67, "medianCount": 66.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.5681818181818183 ##### count 132 ##### university ###### size 1157 ###### gpa Percentile 44 ###### count Percentile 76 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 18, "gpaPercentile": 29, "countPercentile": 76, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.4017094017094016 ##### count 117 ##### university ###### size 1171 ###### gpa Percentile 30 ###### count Percentile 75 ###### 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": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 14, "countPercentile": 86, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.69811320754717 ##### count 106 ##### university ###### size 1216 ###### gpa Percentile 58 ###### count Percentile 70 ###### 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 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 21, "gpaPercentile": 55, "countPercentile": 65, "medianCount": 48, "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": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.4055944055944054 ##### count 143 ##### university ###### size 1188 ###### gpa Percentile 28 ###### count Percentile 80 ###### 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": "MARKETNG", "comparison": { "size": 25, "gpaPercentile": 17, "countPercentile": 88, "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": 11, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.588785046728972 ##### count 107 ##### university ###### size 1295 ###### gpa Percentile 43 ###### count Percentile 70 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 19, "gpaPercentile": 50, "countPercentile": 67, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.3503401360544216 ##### count 147 ##### university ###### size 1241 ###### gpa Percentile 22 ###### count Percentile 82 ###### 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": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 5, "countPercentile": 91, "medianCount": 57, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.7545454545454544 ##### count 110 ##### university ###### size 1333 ###### gpa Percentile 59 ###### count Percentile 71 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 88, "countPercentile": 63, "medianCount": 91, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.4971428571428573 ##### count 175 ##### university ###### size 1289 ###### gpa Percentile 31 ###### count Percentile 85 ###### 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": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 56, "countPercentile": 94, "medianCount": 54, "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": 6, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.5778688524590163 ##### count 122 ##### university ###### size 1320 ###### gpa Percentile 37 ###### count Percentile 73 ###### 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": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 60, "countPercentile": 67, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.449640287769784 ##### count 139 ##### university ###### size 1283 ###### gpa Percentile 26 ###### count Percentile 79 ###### 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": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 47, "countPercentile": 93, "medianCount": 52.5, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### MARKETNG ###### size 48 ###### gpa 3.6302934631557733 ###### top Share 81.47244519638907 ###### count 577.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MARKETNG ###### size 12 ###### gpa 3.6462582238296783 ###### top Share 81.03071334094919 ###### count 83.5 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### MARKETNG ###### size 12 ###### gpa 3.4836329389711174 ###### top Share 71.7833269943106 ###### count 48 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MARKETNG ###### size 13 ###### gpa 3.555144626819006 ###### top Share 73.22807090077647 ###### count 63 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### MARKETNG ###### size 12 ###### gpa 3.6187539748971713 ###### top Share 80.33045075037897 ###### count 63.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MARKETNG ###### size 12 ###### gpa 3.6729280167649585 ###### top Share 84.84025244811484 ###### count 54 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### MARKETNG ###### size 12 ###### gpa 3.5659253791007366 ###### top Share 76.22176286294331 ###### count 76.5 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MARKETNG ###### size 11 ###### gpa 3.59982416580592 ###### top Share 79.65239893839671 ###### count 41 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MARKETNG ###### size 12 ###### gpa 3.4966703706493365 ###### top Share 67.49117518120711 ###### count 96 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MARKETNG ###### size 14 ###### gpa 3.4980091584163273 ###### top Share 70.18384110726859 ###### count 51 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MARKETNG ###### size 13 ###### gpa 3.4953997176684464 ###### top Share 69.59909127276356 ###### count 95 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MARKETNG ###### size 14 ###### gpa 3.5584167442834986 ###### top Share 73.45620470686285 ###### count 61.5 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MARKETNG ###### size 12 ###### gpa 3.538413850368297 ###### top Share 74.68267846802034 ###### count 101 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MARKETNG ###### size 15 ###### gpa 3.471737930146271 ###### top Share 70.31146098668106 ###### count 69 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### MARKETNG ###### size 12 ###### gpa 3.459283915383871 ###### top Share 67.41770975131514 ###### count 68.5 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MARKETNG ###### size 15 ###### gpa 3.4841465706309886 ###### top Share 70.26165466718561 ###### count 50 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MARKETNG ###### size 15 ###### gpa 3.4661609502194115 ###### top Share 69.07984234038982 ###### count 49 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MARKETNG ###### size 15 ###### gpa 3.477227982124518 ###### top Share 68.69085978208818 ###### count 87 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MARKETNG ###### size 12 ###### gpa 3.4932521247260735 ###### top Share 70.62955269278628 ###### count 89 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MARKETNG ###### size 16 ###### gpa 3.4908377363724963 ###### top Share 73.19122941226513 ###### count 89.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MARKETNG ###### size 15 ###### gpa 3.5174907493786463 ###### top Share 74.18675244844495 ###### count 68 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MARKETNG ###### size 16 ###### gpa 3.548212826248202 ###### top Share 75.02449016789356 ###### count 90 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.5252212400674523 ###### top Share 72.03360675385316 ###### count 52.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.559382039481831 ###### top Share 77.43040910582185 ###### count 87.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.5768810082574327 ###### top Share 76.89483938726171 ###### count 55 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MARKETNG ###### size 17 ###### gpa 3.585828116482426 ###### top Share 79.21346179651735 ###### count 78 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MARKETNG ###### size 15 ###### gpa 3.5831559837896063 ###### top Share 78.75128949296631 ###### count 72 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.583175799054984 ###### top Share 78.80655416507517 ###### count 83.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MARKETNG ###### size 15 ###### gpa 3.711898594155838 ###### top Share 89.04767040292319 ###### count 47 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.70671270621466 ###### top Share 87.74126742620032 ###### count 66.5 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MARKETNG ###### size 18 ###### gpa 3.667859956376553 ###### top Share 86.14155685495416 ###### count 70.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MARKETNG ###### size 23 ###### gpa 3.640927073704417 ###### top Share 82.52296214470145 ###### count 58 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MARKETNG ###### size 21 ###### gpa 3.646486622913183 ###### top Share 83.14179199968991 ###### count 48 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MARKETNG ###### size 25 ###### gpa 3.6234775035319644 ###### top Share 80.59975420956242 ###### count 58 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MARKETNG ###### size 19 ###### gpa 3.5793238314410947 ###### top Share 81.75222641772163 ###### count 69 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MARKETNG ###### size 23 ###### gpa 3.5744699156490247 ###### top Share 78.42184566175688 ###### count 57 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MARKETNG ###### size 17 ###### gpa 3.547655677832614 ###### top Share 77.26599046949728 ###### count 91 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MARKETNG ###### size 17 ###### gpa 3.481456315169987 ###### top Share 71.32646556786042 ###### count 54 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MARKETNG ###### size 16 ###### gpa 3.550893499083995 ###### top Share 77.67608273860581 ###### count 70 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MARKETNG ###### size 16 ###### gpa 3.483591884557984 ###### top Share 73.98101796980842 ###### count 52.5 ## instructor Trends ```json [ { "uid": "instructor_9459fc6df3a6d816c80bf08b", "name": "LIAD WEISS", "count": 957, "terms": [ { "term": "1144", "count": 104, "sections": 3, "gpa": 3.4278846153846154 }, { "term": "1154", "count": 114, "sections": 3, "gpa": 3.3859649122807016 }, { "term": "1164", "count": 121, "sections": 3, "gpa": 3.425619834710744 }, { "term": "1174", "count": 122, "sections": 3, "gpa": 3.4221311475409837 }, { "term": "1184", "count": 127, "sections": 3, "gpa": 3.425196850393701 }, { "term": "1194", "count": 117, "sections": 3, "gpa": 3.405982905982906 }, { "term": "1204", "count": 105, "sections": 3, "gpa": 3.5619047619047617 }, { "term": "1224", "count": 81, "sections": 2, "gpa": 3.4074074074074074 }, { "term": "1234", "count": 66, "sections": 2, "gpa": 3.3636363636363638 } ] }, { "uid": "instructor_75eef1d7ac835277095e70c0", "name": "EVAN POLMAN", "count": 823, "terms": [ { "term": "1142", "count": 74, "sections": 2, "gpa": 3.439189189189189 }, { "term": "1152", "count": 87, "sections": 2, "gpa": 3.4597701149425286 }, { "term": "1162", "count": 101, "sections": 3, "gpa": 3.485148514851485 }, { "term": "1172", "count": 131, "sections": 3, "gpa": 3.454198473282443 }, { "term": "1182", "count": 64, "sections": 2, "gpa": 3.4765625 }, { "term": "1192", "count": 108, "sections": 3, "gpa": 3.4953703703703702 }, { "term": "1202", "count": 86, "sections": 3, "gpa": 3.4825581395348837 }, { "term": "1212", "count": 40, "sections": 1, "gpa": 3.8 }, { "term": "1222", "count": 132, "sections": 3, "gpa": 3.5681818181818183 } ] }, { "uid": "instructor_c2223f06709ea82195bd71e7", "name": "MARY KATHRYN MALONE", "count": 379, "terms": [ { "term": "1242", "count": 61, "sections": 2, "gpa": 3.6475409836065573 }, { "term": "1244", "count": 43, "sections": 1, "gpa": 3.5697674418604652 }, { "term": "1252", "count": 79, "sections": 2, "gpa": 3.7911392405063293 }, { "term": "1254", "count": 98, "sections": 2, "gpa": 3.5816326530612246 }, { "term": "1262", "count": 83, "sections": 3, "gpa": 3.5963855421686746 }, { "term": "1264", "count": 15, "sections": 1, "gpa": 3.3333333333333335 } ] }, { "uid": "instructor_cbdc70a1d64e494d9b7fe93b", "name": "JOANN JATKOWSKI PECK", "count": 284, "terms": [ { "term": "1074", "count": 110, "sections": 3, "gpa": 3.4272727272727272 }, { "term": "1092", "count": 57, "sections": 2, "gpa": 3.482456140350877 }, { "term": "1102", "count": 46, "sections": 2, "gpa": 3.467391304347826 }, { "term": "1122", "count": 71, "sections": 2, "gpa": 3.647887323943662 } ] }, { "uid": "instructor_df96019cf7e084d215f1b7c7", "name": "KELLY BOUDREAU", "count": 266, "terms": [ { "term": "1232", "count": 85, "sections": 2, "gpa": 3.7470588235294118 }, { "term": "1244", "count": 104, "sections": 3, "gpa": 3.2596153846153846 }, { "term": "1254", "count": 77, "sections": 2, "gpa": 3.3896103896103895 } ] }, { "uid": "instructor_1b0404464871fe2d8e0a076b", "name": "MARCIA KASIETA", "count": 219, "terms": [ { "term": "1082", "count": 47, "sections": 2, "gpa": 3.3191489361702127 }, { "term": "1112", "count": 50, "sections": 2, "gpa": 3.4 }, { "term": "1124", "count": 122, "sections": 2, "gpa": 3.7991803278688523 } ] }, { "uid": "instructor_cb97f2ed0764f2cd54cd36de", "name": "MALCOLM THORNE", "count": 209, "terms": [ { "term": "1094", "count": 100, "sections": 3, "gpa": 3.405 }, { "term": "1104", "count": 109, "sections": 2, "gpa": 3.4311926605504586 } ] }, { "uid": "instructor_0a4a6c5bdb3c199d2e3e3660", "name": "MILT HWANG", "count": 163, "terms": [ { "term": "1262", "count": 39, "sections": 1, "gpa": 3.5384615384615383 }, { "term": "1264", "count": 124, "sections": 3, "gpa": 3.463709677419355 } ] }, { "uid": "instructor_5629eff0fa4655044dbf5efb", "name": "MICHAEL JOHNSON", "count": 154, "terms": [ { "term": "1234", "count": 77, "sections": 2, "gpa": 3.4415584415584415 }, { "term": "1242", "count": 46, "sections": 1, "gpa": 3.510869565217391 }, { "term": "1252", "count": 31, "sections": 1, "gpa": 3.661290322580645 } ] }, { "uid": "instructor_e320761ea1b2e974f139a8f0", "name": "TODD BRACHMAN", "count": 150, "terms": [ { "term": "1132", "count": 81, "sections": 2, "gpa": 3.3703703703703702 }, { "term": "1134", "count": 69, "sections": 2, "gpa": 3.347826086956522 } ] }, { "uid": "instructor_37bb8b000cf0825bc1651fc5", "name": "WONSUK JUNG", "count": 143, "terms": [ { "term": "1234", "count": 143, "sections": 4, "gpa": 3.4055944055944054 } ] }, { "uid": "instructor_07987a0b91a9aac3043c8861", "name": "DEVON SMITH", "count": 132, "terms": [ { "term": "1222", "count": 132, "sections": 3, "gpa": 3.5681818181818183 } ] }, { "uid": "instructor_be140ae1cb024aed09d72396", "name": "TANISHKA JAIN", "count": 106, "terms": [ { "term": "1232", "count": 106, "sections": 3, "gpa": 3.69811320754717 } ] }, { "uid": "instructor_01239d655be318dcf09af2e0", "name": "JAMES WINDSOR", "count": 104, "terms": [ { "term": "1212", "count": 47, "sections": 1, "gpa": 3.723404255319149 }, { "term": "1224", "count": 36, "sections": 1, "gpa": 3.388888888888889 }, { "term": "1232", "count": 21, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_548251aef873fc2a65f1ddc4", "name": "LAURIE BRACHMAN", "count": 99, "terms": [ { "term": "1114", "count": 99, "sections": 2, "gpa": 2.8838383838383836 } ] }, { "uid": "instructor_d39c0242d98688b322522931", "name": "YEPENG JIN", "count": 81, "terms": [ { "term": "1224", "count": 81, "sections": 2, "gpa": 3.4074074074074074 } ] }, { "uid": "instructor_7ce9d4b4297e76c18a59c995", "name": "TORSTEN RINGBERG", "count": 57, "terms": [ { "term": "1084", "count": 57, "sections": 2, "gpa": 3.675438596491228 } ] }, { "uid": "instructor_7c1dcdc715bd276f37a22d76", "name": "ALOK KUMAR", "count": 49, "terms": [ { "term": "1084", "count": 49, "sections": 1, "gpa": 3.479591836734694 } ] }, { "uid": "instructor_9c961e1ad4153a4399bbf2ad", "name": "J PAUL PETER", "count": 49, "terms": [ { "term": "1072", "count": 49, "sections": 2, "gpa": 3.795918367346939 } ] }, { "uid": "instructor_e3a8c23027128c53eb2e6f72", "name": "BORBALA KULCSAR", "count": 43, "terms": [ { "term": "1134", "count": 43, "sections": 1, "gpa": 3.3488372093023258 } ] }, { "uid": "instructor_0309ca6a279ad7cdb1fed830", "name": "SARA KLUNK", "count": 40, "terms": [ { "term": "1212", "count": 40, "sections": 1, "gpa": 3.8 } ] }, { "uid": "instructor_a40f67c0f49cf7927ac1a871", "name": "RUSTY STOUGH", "count": 28, "terms": [ { "term": "1182", "count": 28, "sections": 1, "gpa": 3.5535714285714284 } ] }, { "uid": "instructor_2768d94ded2f6859da5235b4", "name": "ANIL ISISAG", "count": 26, "terms": [ { "term": "1192", "count": 26, "sections": 1, "gpa": 3.4615384615384617 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.36 #### upper 3.92 #### coverage 80 #### terms 8 ### gpa 3.6391268684535176 ### grades | grade | percentage | | ----- | ------------------- | | A | 42.269766450515164 | | AB | 44.558125571158484 | | B | 11.992131332937893 | | BC | 1.087668509291636 | | C | 0.09230813609680816 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 577 ### same Season true ### historical Range * 3.5681818181818183 * 3.7545454545454544 ### backtest #### terms 8 #### gpa Error 0.08505152320481657 #### mix Error 15.416590049561622