# MARKETNG 445: Digital Marketing Analytics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_445) ## 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 bfad89ee31370c7e8528520fb258c4a21383000b79f8214d5d5aa97c641e9cdd ### course id MARKETNG 445 ### course uid course\_1be2171921f5c96507aafa0c ### catalog version id 81856a54ea7226beb4a53cd58e1c5fabf1acac25dccc8ce2cc5defa18ec0571a ### course number 445 ### subjects * MARKETNG ### title DIGITAL MARKETING ANALYTICS ### description Introduces business analytic techniques applied in the context of digital marketing. Includes approaches to design, run, evaluate, and improve online marketing tactics in order to meet specific business objectives such as customer acquisition. Covers digital analytics methods and execution of marketing tactics with data-driven techniques. Emphasizes the implementation of analytic skills on practical problems. ### requirements text MARKETNG 300andGEN BUS 306or declared in the Business Exchange program ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id ab4fcb1099cd5109bf190e3590f4675cb775a59d847111f4cd92c2d4fdf890d7 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MARKETNG 445 DIGITAL MARKETING ANALYTICS introduces business analytic techniques for digital marketing to meet business objectives like customer acquisition. ### llm topics * Digital analytics methods. * Online marketing tactics. * Customer acquisition. ### llm skills * Designing, running, and evaluating online marketing tactics. * Executing marketing tactics using data-driven techniques. * Implementing analytic skills on practical problems. ### llm assumed background * Foundations in marketing management and business analytics including database management, probability, and regression analysis. ### llm search phrases * digital marketing analytics * online marketing tactics data-driven * customer acquisition analytics * MARKETNG 445 prerequisites ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 9a85c42a6f2944d31c74570dffd77388a03681a121c397e1c1d6e10842ff0fe0 #### course id MARKETNG 445 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.63 GPA, 75.6% A/AB (n=41 letter grades); Spring 2025: 3.58 GPA, 80.0% A/AB (n=20 letter grades); Spring 2026: 3.25 GPA, 64.3% A/AB (n=14 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 445", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c7eca152-d6fb-3972-a40d-2b5f5ebd2283", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG 445", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c7eca152-d6fb-3972-a40d-2b5f5ebd2283", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 445", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c7eca152-d6fb-3972-a40d-2b5f5ebd2283", "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 None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MARKETNG 300andGEN BUS 306or declared in the Business Exchange program", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "MARKETNG 300andGEN BUS 306", "id": "n1", "kind": "all" }, { "children": [], "condition": "declared in the Business Exchange program", "course": null, "evidence": "declared in the Business Exchange program", "id": "n2", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "MARKETNG 300", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 306, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 306", "id": "n4", "kind": "course" } ] ``` #### notes * The text 'MARKETNG 300andGEN BUS 306' contains a missing space but clearly links to MARKETNG 300 and GENBUS 306 in linked\_courses. The 'or' separates this pair from the program declaration. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_8a453cb0b6b28bc4169587e5", "source": "madgrades", "source_instructor_id": "5329849", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHI HUANG", "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": 3.534, "graded": 191, "counts": [ 75, 67, 38, 9, 2, 0, 0 ], "sections": 8 }, "instructor_url": "/instructors/ZHI_HUANG" }, { "instructor_uid": "instructor_9652d645cedbc0922eba529c", "source": "madgrades", "source_instructor_id": "4586069", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHENG HE", "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": 5, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:2678730", "source_url": "https://www.ratemyprofessors.com/professor/2678730", "match_basis": "exact_name", "observed_at": "2026-09-07 16:49:03.105092+00:00", "courses": {}, "bayesian_quality": 3.9277486268372765, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.563, "graded": 311, "counts": [ 161, 68, 59, 12, 9, 1, 1 ], "sections": 18 }, "instructor_url": "/instructors/CHENG_HE--instructor_9652d645cedbc0922eba529c" }, { "instructor_uid": "instructor_0caeeed03e5c3526ea11da5e", "source": "madgrades", "source_instructor_id": "6460808", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XINGJIAN YOU", "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": 3.534, "graded": 525, "counts": [ 188, 211, 107, 16, 2, 0, 1 ], "sections": 16 }, "instructor_url": "/instructors/XINGJIAN_YOU" }, { "instructor_uid": "instructor_c6976f46a636bfc319006d4b", "source": "madgrades", "source_instructor_id": "6451948", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHOURYA MAHESHWARI", "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": 3.587, "graded": 80, "counts": [ 43, 15, 17, 3, 2, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/SHOURYA_MAHESHWARI--instructor_c6976f46a636bfc319006d4b" }, { "instructor_uid": "instructor_1c241ab83c8bca8831d4c79a", "source": "madgrades", "source_instructor_id": "6372756", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUNGEUN LIM", "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": 3.692, "graded": 650, "counts": [ 341, 236, 60, 8, 5, 0, 0 ], "sections": 18 }, "instructor_url": "/instructors/JUNGEUN_LIM" }, { "instructor_uid": "instructor_20c6ade525a903ffc3c550fb", "source": "madgrades", "source_instructor_id": "6615983", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WENDY JIANG", "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": 3.625, "graded": 224, "counts": [ 117, 71, 25, 3, 5, 3, 0 ], "sections": 10 }, "instructor_url": "/instructors/WENDY_JIANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 445", "course_uid": "course_1be2171921f5c96507aafa0c", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Cheng He", "ZHI HUANG" ], "a": 22, "ab": 5, "b": 2, "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": 31, "source_aliases": [ "MARKETNG 445" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 445", "course_uid": "course_1be2171921f5c96507aafa0c", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Cheng He", "XINGJIAN YOU" ], "a": 20, "ab": 9, "b": 8, "bc": 3, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 42, "source_aliases": [ "MARKETNG 445" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 445", "course_uid": "course_1be2171921f5c96507aafa0c", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Cheng He", "SHOURYA MAHESHWARI" ], "a": 24, "ab": 7, "b": 8, "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": 41, "source_aliases": [ "MARKETNG 445" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 445", "course_uid": "course_1be2171921f5c96507aafa0c", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Cheng He", "JUNGEUN LIM" ], "a": 11, "ab": 5, "b": 2, "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": 20, "source_aliases": [ "MARKETNG 445" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 445", "course_uid": "course_1be2171921f5c96507aafa0c", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Cheng He", "WENDY JIANG" ], "a": 6, "ab": 3, "b": 2, "bc": 0, "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": 14, "source_aliases": [ "MARKETNG 445" ] } ] ``` ### statistics #### gpa 3.571 #### graded 147 #### counts * 83 * 29 * 22 * 5 * 6 * 1 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_1be2171921f5c96507aafa0c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_1be2171921f5c96507aafa0c-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_1be2171921f5c96507aafa0c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_1be2171921f5c96507aafa0c-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_1be2171921f5c96507aafa0c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_1be2171921f5c96507aafa0c-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.5714285714285716 #### count 147 #### university ##### size 2947 ##### gpa Percentile 29 ##### count Percentile 59 ##### median Count 113 ##### 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 | 11 | false | | 2.8–3.2 | 200 | false | | 3.2–3.6 | 728 | true | | 3.6–4.0 | 2007 | false | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 38, "gpaPercentile": 38, "countPercentile": 51, "medianCount": 144.5, "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": 15, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` ### terms #### 1224 ##### term 1224 ##### gpa 3.7419354838709675 ##### count 31 ##### university ###### size 1171 ###### gpa Percentile 62 ###### count Percentile 4 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 64, "countPercentile": 0, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.4878048780487805 ##### count 41 ##### university ###### size 1188 ###### gpa Percentile 35 ###### count Percentile 23 ###### 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": 25, "countPercentile": 17, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.6341463414634148 ##### count 41 ##### university ###### size 1241 ###### gpa Percentile 47 ###### count Percentile 24 ###### 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": 64, "countPercentile": 32, "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 3.575 ##### count 20 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1264 ##### term 1264 ##### gpa 3.25 ##### count 14 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | ### benchmarks #### all ##### school ###### size 2947 ###### gpa 3.684503227431485 ###### top Share 83.48969667841149 ###### count 113 ##### MARKETNG ###### size 38 ###### gpa 3.6204886794836764 ###### top Share 81.83787794444454 ###### count 144.5 #### terms ##### 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 ##### 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_9652d645cedbc0922eba529c", "name": "CHENG HE", "count": 147, "terms": [ { "term": "1224", "count": 31, "sections": 3, "gpa": 3.7419354838709675 }, { "term": "1234", "count": 41, "sections": 2, "gpa": 3.4878048780487805 }, { "term": "1244", "count": 41, "sections": 2, "gpa": 3.6341463414634148 }, { "term": "1254", "count": 20, "sections": 1, "gpa": 3.575 }, { "term": "1264", "count": 14, "sections": 1, "gpa": 3.25 } ] }, { "uid": "instructor_0caeeed03e5c3526ea11da5e", "name": "XINGJIAN YOU", "count": 41, "terms": [ { "term": "1234", "count": 41, "sections": 2, "gpa": 3.4878048780487805 } ] }, { "uid": "instructor_c6976f46a636bfc319006d4b", "name": "SHOURYA MAHESHWARI", "count": 41, "terms": [ { "term": "1244", "count": 41, "sections": 2, "gpa": 3.6341463414634148 } ] }, { "uid": "instructor_8a453cb0b6b28bc4169587e5", "name": "ZHI HUANG", "count": 31, "terms": [ { "term": "1224", "count": 31, "sections": 3, "gpa": 3.7419354838709675 } ] }, { "uid": "instructor_1c241ab83c8bca8831d4c79a", "name": "JUNGEUN LIM", "count": 20, "terms": [ { "term": "1254", "count": 20, "sections": 1, "gpa": 3.575 } ] }, { "uid": "instructor_20c6ade525a903ffc3c550fb", "name": "WENDY JIANG", "count": 14, "terms": [ { "term": "1264", "count": 14, "sections": 1, "gpa": 3.25 } ] } ] ``` ## following None recorded.