# MARKETNG 437: New Product Innovation | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_437) ## 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 09fd56fbd00addcd372946aa66e9a1b71ea88d43b03ba4a6b771309ec5dd24b4 ### course id MARKETNG 437 ### course uid course\_d10bb1dedc7f0b65876c71e8 ### catalog version id 0d4b6909e089d8e6a976697b439fb4dcd00e90b02c4e6a936f87848b3d74e088 ### course number 437 ### subjects * MARKETNG ### title NEW PRODUCT INNOVATION ### description Explore strategies and processes by which organizations effectively discover, develop, and launch impactful new products. Includes design thinking methods and the stage-gate approach to generate and evaluate new product ideas. ### requirements text MARKETNG 300or declared in the Business Exchange program ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 72c3690bf68c6feb730065edb788194925b1aa6a9014a136f7abaf377b4c9959 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary NEW PRODUCT INNOVATION explores strategies for discovering, developing, and launching new products using design thinking and stage-gate approaches. ### llm topics * Design thinking methods * Stage-gate approach * New product idea generation and evaluation ### llm skills * New product discovery and launch strategies * Design thinking and stage-gate evaluation methods ### llm assumed background * Foundations of marketing management and program planning ### llm search phrases * new product innovation design thinking * stage-gate product launch strategies * MARKETNG 437 new product development ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 74aaef4c0289f70c00e576e955905d249d5322e18cdbf71d0459d2da5322744a #### course id MARKETNG 437 #### 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: 3.83 GPA, 93.3% A/AB (n=45 letter grades); Spring 2025: 3.80 GPA, 98.6% A/AB (n=71 letter grades); Spring 2026: 3.47 GPA, 83.6% A/AB (n=55 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 437", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c83abfee-435d-3746-8cd5-ff2e3c6f9f94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG 437", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c83abfee-435d-3746-8cd5-ff2e3c6f9f94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 437", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c83abfee-435d-3746-8cd5-ff2e3c6f9f94", "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 300or declared in the Business Exchange program", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "MARKETNG 300", "id": "n1", "kind": "course" }, { "children": [], "condition": "declared in the Business Exchange program", "course": null, "evidence": "declared in the Business Exchange program", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_db1e4c10a97815328b64b7b4", "source": "madgrades", "source_instructor_id": "5406139", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL JUDGE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 7, "quality": 4.57, "difficulty": 2.29, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2288106", "source_url": "https://www.ratemyprofessors.com/professor/2288106", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:04.209440+00:00", "courses": {}, "bayesian_quality": 3.8956931729974786, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.803, "graded": 1785, "counts": [ 1252, 424, 70, 23, 12, 4, 0 ], "sections": 54 }, "instructor_url": "/instructors/MICHAEL_JUDGE--instructor_db1e4c10a97815328b64b7b4" }, { "instructor_uid": "instructor_f672a2d0bfd69d3f659bf1f3", "source": "madgrades", "source_instructor_id": "6303364", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DIVYANSHU GARG", "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": 3.595, "graded": 148, "counts": [ 60, 66, 15, 6, 0, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/DIVYANSHU_GARG--instructor_f672a2d0bfd69d3f659bf1f3" }, { "instructor_uid": "instructor_4275615c59ea6f53ca1979f7", "source": "madgrades", "source_instructor_id": "6316075", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BILAL USMAN", "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": 3.431, "graded": 159, "counts": [ 64, 44, 29, 13, 7, 2, 0 ], "sections": 4 }, "instructor_url": "/instructors/BILAL_USMAN" }, { "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_a384e227ddd0fede4faac24b", "source": "madgrades", "source_instructor_id": "6396372", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEXI POTTER", "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": 3.854, "graded": 216, "counts": [ 164, 44, 6, 1, 1, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/ALEXI_POTTER" }, { "instructor_uid": "instructor_6549cc3b5f7dac22ea601d7e", "source": "madgrades", "source_instructor_id": "4456906", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELIZABETH SCHULTZ", "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": 3.593, "graded": 156, "counts": [ 65, 55, 36, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/ELIZABETH_SCHULTZ" }, { "instructor_uid": "instructor_8d9819ee681ad6d10dbf0c7e", "source": "madgrades", "source_instructor_id": "6645665", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CASSIDY NIKOLAI", "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": 3.473, "graded": 55, "counts": [ 19, 27, 3, 3, 1, 2, 0 ], "sections": 2 }, "instructor_url": "/instructors/CASSIDY_NIKOLAI--instructor_8d9819ee681ad6d10dbf0c7e" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 437", "course_uid": "course_d10bb1dedc7f0b65876c71e8", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "DIVYANSHU GARG", "MICHAEL JUDGE" ], "a": 3, "ab": 11, "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": 14, "source_aliases": [ "MARKETNG 437" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 437", "course_uid": "course_d10bb1dedc7f0b65876c71e8", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "BILAL USMAN", "MICHAEL JUDGE" ], "a": 36, "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": 38, "source_aliases": [ "MARKETNG 437" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 437", "course_uid": "course_d10bb1dedc7f0b65876c71e8", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "MICHAEL JUDGE", "XINGJIAN YOU" ], "a": 9, "ab": 12, "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": 21, "source_aliases": [ "MARKETNG 437" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 437", "course_uid": "course_d10bb1dedc7f0b65876c71e8", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "ALEXI POTTER", "MICHAEL JUDGE" ], "a": 9, "ab": 22, "b": 1, "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": 33, "source_aliases": [ "MARKETNG 437" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 437", "course_uid": "course_d10bb1dedc7f0b65876c71e8", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "MICHAEL JUDGE" ], "a": 33, "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": 45, "source_aliases": [ "MARKETNG 437" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 437", "course_uid": "course_d10bb1dedc7f0b65876c71e8", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ELIZABETH SCHULTZ", "MICHAEL JUDGE" ], "a": 43, "ab": 27, "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": 71, "source_aliases": [ "MARKETNG 437" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 437", "course_uid": "course_d10bb1dedc7f0b65876c71e8", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "CASSIDY NIKOLAI", "MICHAEL JUDGE" ], "a": 19, "ab": 27, "b": 3, "bc": 3, "c": 1, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 55, "source_aliases": [ "MARKETNG 437" ] } ] ``` ### statistics #### gpa 3.72 #### graded 277 #### counts * 152 * 110 * 8 * 3 * 2 * 2 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d10bb1dedc7f0b65876c71e8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d10bb1dedc7f0b65876c71e8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d10bb1dedc7f0b65876c71e8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d10bb1dedc7f0b65876c71e8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d10bb1dedc7f0b65876c71e8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d10bb1dedc7f0b65876c71e8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.720216606498195 #### count 277 #### university ##### size 3792 ##### gpa Percentile 46 ##### count Percentile 77 ##### median Count 109 ##### 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 | 243 | false | | 3.2–3.6 | 958 | false | | 3.6–4.0 | 2574 | true | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 42, "gpaPercentile": 56, "countPercentile": 66, "medianCount": 180, "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": 15, "current": false }, { "range": "3.6–4.0", "count": 27, "current": true } ] } } ] ``` ### terms #### 1222 ##### term 1222 ##### gpa 3.607142857142857 ##### count 14 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1224 ##### term 1224 ##### gpa 3.973684210526316 ##### count 38 ##### university ###### size 1171 ###### gpa Percentile 92 ###### count Percentile 18 ###### 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": 100, "countPercentile": 18, "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 } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.7142857142857144 ##### count 21 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1234 ##### term 1234 ##### gpa 3.5757575757575757 ##### count 33 ##### university ###### size 1188 ###### gpa Percentile 43 ###### count Percentile 7 ###### 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": 42, "countPercentile": 0, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.8333333333333335 ##### count 45 ##### university ###### size 1241 ###### gpa Percentile 72 ###### count Percentile 29 ###### 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": 95, "countPercentile": 36, "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 3.795774647887324 ##### count 71 ##### university ###### size 1289 ###### gpa Percentile 65 ###### count Percentile 53 ###### 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 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 88, "countPercentile": 56, "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": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.4727272727272727 ##### count 55 ##### university ###### size 1283 ###### gpa Percentile 28 ###### count Percentile 40 ###### 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": 53, "countPercentile": 53, "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 3792 ###### gpa 3.6817192930909024 ###### top Share 83.33891761459952 ###### count 109 ##### MARKETNG ###### size 42 ###### gpa 3.654151485833886 ###### top Share 83.89352886866234 ###### count 180 #### terms ##### 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 ##### 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_db1e4c10a97815328b64b7b4", "name": "MICHAEL JUDGE", "count": 277, "terms": [ { "term": "1222", "count": 14, "sections": 1, "gpa": 3.607142857142857 }, { "term": "1224", "count": 38, "sections": 1, "gpa": 3.973684210526316 }, { "term": "1232", "count": 21, "sections": 1, "gpa": 3.7142857142857144 }, { "term": "1234", "count": 33, "sections": 1, "gpa": 3.5757575757575757 }, { "term": "1244", "count": 45, "sections": 2, "gpa": 3.8333333333333335 }, { "term": "1254", "count": 71, "sections": 2, "gpa": 3.795774647887324 }, { "term": "1264", "count": 55, "sections": 2, "gpa": 3.4727272727272727 } ] }, { "uid": "instructor_6549cc3b5f7dac22ea601d7e", "name": "ELIZABETH SCHULTZ", "count": 71, "terms": [ { "term": "1254", "count": 71, "sections": 2, "gpa": 3.795774647887324 } ] }, { "uid": "instructor_8d9819ee681ad6d10dbf0c7e", "name": "CASSIDY NIKOLAI", "count": 55, "terms": [ { "term": "1264", "count": 55, "sections": 2, "gpa": 3.4727272727272727 } ] }, { "uid": "instructor_4275615c59ea6f53ca1979f7", "name": "BILAL USMAN", "count": 38, "terms": [ { "term": "1224", "count": 38, "sections": 1, "gpa": 3.973684210526316 } ] }, { "uid": "instructor_a384e227ddd0fede4faac24b", "name": "ALEXI POTTER", "count": 33, "terms": [ { "term": "1234", "count": 33, "sections": 1, "gpa": 3.5757575757575757 } ] }, { "uid": "instructor_0caeeed03e5c3526ea11da5e", "name": "XINGJIAN YOU", "count": 21, "terms": [ { "term": "1232", "count": 21, "sections": 1, "gpa": 3.7142857142857144 } ] }, { "uid": "instructor_f672a2d0bfd69d3f659bf1f3", "name": "DIVYANSHU GARG", "count": 14, "terms": [ { "term": "1222", "count": 14, "sections": 1, "gpa": 3.607142857142857 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.6949932341117093 ### grades | grade | percentage | | ----- | ------------------ | | A | 54.3483278778237 | | AB | 38.25635623191165 | | B | 3.688567300127188 | | BC | 1.6226039548267055 | | C | 1.002408665426276 | | D | 1.0817359698844702 | | F | 0 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 242 ### same Season false ### historical Range * 3.472727272727272 * 3.9736842105263155