# MARKETNG 705: Consumer Behavior | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_705) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 67a2977192437bfff203c33449a049a6ca54a8a260f4bb4a8abe11111790990b ### course id MARKETNG 705 ### course uid course\_a98ddb5c5bdb7ba7d4c210fa ### catalog version id bdd10add3a773104a86afe26400cc8c008ec77d480fa88919feef3a9f6be599e ### course number 705 ### subjects * MARKETNG ### title CONSUMER BEHAVIOR ### description Consumer behavior is a broad field that studies how individuals, families and groups acquire, consume, and dispose of goods, services, ideas and experiences. Provides an integrated view of consumer behavior that draws on psychological, economic, anthropological and sociological perspectives to enhance understanding of consumer experiences. ### requirements text Graduate/professional standing ### credits min 2 ### credits max 3 ### credit offering ids * 1272:237:003176 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 3a1da977f83dbe13b361f9b1bbd62c94f6e16c1a6e308ed7dbbf7735e72bad38 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Consumer Behavior provides an integrated view of how consumers acquire, consume, and dispose of goods and services using psychological, economic, and sociological perspectives. ### llm topics * Consumer acquisition, consumption, and disposal processes * Interdisciplinary perspectives on consumer behavior ### llm skills * Analyze consumer acquisition, consumption, and disposal behaviors * Apply interdisciplinary perspectives to consumer experiences ### llm assumed background None recorded. ### llm search phrases * consumer behavior psychology economics * consumer decision making process * marketing consumer insights ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 4824aa1aebc881e57fa9a47b982e0cc78e1ff4460bc04486afa770cf8679777d #### course id MARKETNG 705 #### current instructors None recorded. #### 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 2023: 3.87 GPA, 94.8% A/AB (n=58 letter grades); Spring 2024: 3.87 GPA, 97.1% A/AB (n=35 letter grades); Spring 2025: 3.96 GPA, 100.0% A/AB (n=26 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 705", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f77d3f00-0506-382f-99d4-663ed09be488", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG 705", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f77d3f00-0506-382f-99d4-663ed09be488", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG 705", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f77d3f00-0506-382f-99d4-663ed09be488", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:003176", "course_id": "MARKETNG 705", "course_uid": "course_a98ddb5c5bdb7ba7d4c210fa", "term_id": "1272", "source_course_id": "003176", "source_subject_id": "237", "title": "Consumer Behavior", "credits_min": 2, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": 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"madgrades", "source_instructor_id": "6227395", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SILA AYOZ", "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": 3.453, "graded": 598, "counts": [ 225, 185, 119, 49, 18, 2, 0 ], "sections": 18 }, "instructor_url": "/instructors/SILA_AYOZ--instructor_98c5ccc1a24f299c84b43cd1" }, { "instructor_uid": "instructor_1359d85ed896abccb7d438cb", "source": "madgrades", "source_instructor_id": "5444261", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CATHERINE MOREAU", "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": 3.74, "graded": 614, "counts": [ 357, 199, 54, 4, 0, 0, 0 ], "sections": 32 }, "instructor_url": "/instructors/CATHERINE_MOREAU" }, { "instructor_uid": 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10, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "MARKETNG 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 705", "course_uid": "course_a98ddb5c5bdb7ba7d4c210fa", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Joann Peck" ], "a": 32, "ab": 29, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 66, "source_aliases": [ "MARKETNG 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 705", "course_uid": "course_a98ddb5c5bdb7ba7d4c210fa", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Joann Peck" ], "a": 11, "ab": 6, "b": 1, "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": 18, "source_aliases": [ "MARKETNG 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 705", "course_uid": "course_a98ddb5c5bdb7ba7d4c210fa", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Joann Peck" ], "a": 11, "ab": 5, "b": 0, "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": 16, "source_aliases": [ "MARKETNG 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 705", "course_uid": "course_a98ddb5c5bdb7ba7d4c210fa", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Amber Epp", "LIAD WEISS", "SILA AYOZ" ], "a": 46, "ab": 9, "b": 3, "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": 58, "source_aliases": [ "MARKETNG 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 705", "course_uid": "course_a98ddb5c5bdb7ba7d4c210fa", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "CATHERINE MOREAU", "Seong Kyun Jung" ], "a": 27, "ab": 7, "b": 1, "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": 35, "source_aliases": [ "MARKETNG 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 705", "course_uid": "course_a98ddb5c5bdb7ba7d4c210fa", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Amber Epp" ], "a": 24, "ab": 2, "b": 0, "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": 26, "source_aliases": [ "MARKETNG 705" ] } ] ``` ### statistics #### gpa 3.786 #### graded 562 #### counts * 351 * 183 * 27 * 1 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a98ddb5c5bdb7ba7d4c210fa-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a98ddb5c5bdb7ba7d4c210fa-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a98ddb5c5bdb7ba7d4c210fa-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a98ddb5c5bdb7ba7d4c210fa-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a98ddb5c5bdb7ba7d4c210fa-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a98ddb5c5bdb7ba7d4c210fa-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.786476868327402 #### count 562 #### university ##### size 4313 ##### gpa Percentile 61 ##### count Percentile 83 ##### median Count 144 ##### 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 | 350 | false | | 3.2–3.6 | 1260 | false | | 3.6–4.0 | 2681 | true | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 45, "gpaPercentile": 80, "countPercentile": 77, "medianCount": 236, "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": 18, "current": false }, { "range": "3.6–4.0", "count": 27, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.9761904761904763 ##### count 42 ##### university ###### size 723 ###### gpa Percentile 96 ###### count Percentile 25 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 82, "countPercentile": 27, "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 } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 4 ##### count 40 ##### university ###### size 723 ###### gpa Percentile 96 ###### count Percentile 19 ###### 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 | false | | 3.6–4.0 | 204 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 13, "gpaPercentile": 83, "countPercentile": 17, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 4 ##### count 51 ##### university ###### size 732 ###### gpa Percentile 97 ###### count Percentile 31 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 45, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.5681818181818183 ##### count 22 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1112 ##### term 1112 ##### gpa 3.5952380952380953 ##### count 42 ##### university ###### size 805 ###### gpa Percentile 72 ###### count Percentile 25 ###### 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": 62, "countPercentile": 38, "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 } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.578125 ##### count 32 ##### university ###### size 804 ###### gpa Percentile 68 ###### count Percentile 4 ###### 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 | true | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 14, "gpaPercentile": 46, "countPercentile": 0, "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": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.5697674418604652 ##### count 43 ##### university ###### size 851 ###### gpa Percentile 66 ###### count Percentile 27 ###### 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": 64, "countPercentile": 29, "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 } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.72 ##### count 50 ##### university ###### size 853 ###### gpa Percentile 77 ###### count Percentile 35 ###### 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 | false | | 3.6–4.0 | 268 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 93, "countPercentile": 50, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.6666666666666665 ##### count 21 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1194 ##### term 1194 ##### gpa 3.696969696969697 ##### count 66 ##### university ###### size 1040 ###### gpa Percentile 66 ###### count Percentile 49 ###### 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 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 79, "countPercentile": 43, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.7777777777777777 ##### count 18 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1224 ##### term 1224 ##### gpa 3.84375 ##### count 16 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1234 ##### term 1234 ##### gpa 3.8706896551724137 ##### count 58 ##### university ###### size 1188 ###### gpa Percentile 76 ###### count Percentile 43 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 25, "gpaPercentile": 88, "countPercentile": 50, "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": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.8714285714285714 ##### count 35 ##### university ###### size 1241 ###### gpa Percentile 78 ###### count Percentile 11 ###### 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 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 100, "countPercentile": 0, "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": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.9615384615384617 ##### count 26 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | ### benchmarks #### all ##### school ###### size 4313 ###### gpa 3.6463848394623675 ###### top Share 80.9751950497593 ###### count 144 ##### MARKETNG ###### size 45 ###### gpa 3.632241429797565 ###### top Share 81.48946434544906 ###### count 236 #### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_92862bd3956b7d59bdd21f27", "name": "AMBER EPP", "count": 288, "terms": [ { "term": "1102", "count": 22, "sections": 1, "gpa": 3.5681818181818183 }, { "term": "1112", "count": 42, "sections": 1, "gpa": 3.5952380952380953 }, { "term": "1122", "count": 32, "sections": 1, "gpa": 3.578125 }, { "term": "1132", "count": 43, "sections": 1, "gpa": 3.5697674418604652 }, { "term": "1142", "count": 50, "sections": 1, "gpa": 3.72 }, { "term": "1152", "count": 21, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1234", "count": 52, "sections": 1, "gpa": 3.9326923076923075 }, { "term": "1254", "count": 26, "sections": 1, "gpa": 3.9615384615384617 } ] }, { "uid": "instructor_f3df6c63106035945aacf5af", "name": "DEBORAH J MITCHELL", "count": 133, "terms": [ { "term": "1072", "count": 42, "sections": 1, "gpa": 3.9761904761904763 }, { "term": "1082", "count": 40, "sections": 1, "gpa": 4 }, { "term": "1092", "count": 51, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_cbdc70a1d64e494d9b7fe93b", "name": "JOANN JATKOWSKI PECK", "count": 100, "terms": [ { "term": "1194", "count": 66, "sections": 2, "gpa": 3.696969696969697 }, { "term": "1204", "count": 18, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1224", "count": 16, "sections": 1, "gpa": 3.84375 } ] }, { "uid": "instructor_1359d85ed896abccb7d438cb", "name": "CATHERINE MOREAU", "count": 35, "terms": [ { "term": "1244", "count": 35, "sections": 1, "gpa": 3.8714285714285714 } ] }, { "uid": "instructor_1aa881766ffb5d39834dc692", "name": "SUYEON JUNG", "count": 35, "terms": [ { "term": "1244", "count": 35, "sections": 1, "gpa": 3.8714285714285714 } ] }, { "uid": "instructor_9459fc6df3a6d816c80bf08b", "name": "LIAD WEISS", "count": 6, "terms": [ { "term": "1234", "count": 6, "sections": 1, "gpa": 3.3333333333333335 } ] }, { "uid": "instructor_98c5ccc1a24f299c84b43cd1", "name": "SILA AYOZ", "count": 6, "terms": [ { "term": "1234", "count": 6, "sections": 1, "gpa": 3.3333333333333335 } ] } ] ``` ## following None recorded.