# MARKETNG 725: Route to Market Strategies | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_725) ## 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 ebbb5b34888aa23208d3dbc45d3119eb6005860741e99c8d797d4c032ae2be9b ### course id MARKETNG 725 ### course uid course\_5db837c48e286252a29ab3c8 ### catalog version id 899401aa586edc7d0abbba8d6670258c5acfcd0e2dd6315296a1c5e4af69e6b0 ### course number 725 ### subjects * MARKETNG ### title ROUTE TO MARKET STRATEGIES ### description Explores the critical role of 'Place' within the marketing mix, focusing on how to effectively design, implement, and manage the marketing channels that make products and services available at the right place, time, and value proposition. Covers identifying customer needs, aligning them with the strengths of various market intermediaries, addressing conflicts associated with direct-to-consumer strategies, and understanding incentivization, power dynamics, and control. Delves into managing relationships, the role of brands, and the transition to an omnichannel environment. ### requirements text Graduate/professional standing or declared in graduate Business Exchange program ### credits min 2 ### credits max 3 ### credit offering ids * 1272:237:003180 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 7f588e7c9279a967445f1767df3bdf979df1d51a344a144a82c7e8344f249402 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ROUTE TO MARKET STRATEGIES explores the 'Place' element of the marketing mix, focusing on channel design, management, and omnichannel strategies. ### llm topics * Marketing channel availability and value * Market intermediaries * Direct-to-consumer strategies * Incentivization and power dynamics * Omnichannel environment ### llm skills * Design and manage marketing channels * Align customer needs with intermediary strengths * Address channel conflicts * Understand power dynamics and control in channels * Manage relationships and omnichannel transitions ### llm assumed background None recorded. ### llm search phrases * marketing channel design * omnichannel strategy * distribution intermediaries * channel conflict management * direct-to-consumer strategies ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 93f9ebb912f827018932d9a59324dc3341cd726d41afc15ed0f48b400939b8c5 #### course id MARKETNG 725 #### current instructors ```json [ { "instructor_uid": "instructor_23c6038066fa735a0f708f84", "message": "No course-specific reviews available", "name": "Tarun Kushwaha", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.55 GPA, 90.9% A/AB (n=22 letter grades); Fall 2024: 3.46 GPA, 78.4% A/AB (n=37 letter grades); Fall 2025: 3.75 GPA, 90.0% A/AB (n=20 letter grades). Includes jointly taught sections." } ] } ] ``` #### 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 — Fall 2023: 3.55 GPA, 90.9% A/AB (n=22 letter grades); Fall 2024: 3.46 GPA, 78.4% A/AB (n=37 letter grades); Fall 2025: 3.75 GPA, 90.0% A/AB (n=20 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history TARUN KUSHWAHA is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 725", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "source_record": { "entity_id": "184415f3-e6c2-39c7-ab8d-4dc5a6da128c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing or declared in graduate Business Exchange program", "course": null, "evidence": "Graduate/professional standing or declared in graduate Business Exchange program", "id": "n0", "kind": "condition" } ] ``` #### notes * Unlinked course mention: 'graduate Business Exchange program' is not in linked\_courses. #### root n0 #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------------- | ------------------------ | -------------------------------- | -------------------------------- | ---------------------------- | | instructor\_23c6038066fa735a0f708f84 | enrollment | tkushwaha2 | netid | source\_identified | Tarun Kushwaha | TARUN.KUSHWAHA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/TARUN\_KUSHWAHA | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:003180", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1272", "source_course_id": "003180", "source_subject_id": "237", "title": "Route to Market Strategies", "credits_min": 2, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27057", "term_id": "1272", "source_section_id": "27057", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 30, "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_d70c39e7e79b2864ae4964e2", "source": "madgrades", "source_instructor_id": "2600985", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN NEVIN", "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": 3.674, "graded": 882, "counts": [ 469, 264, 141, 7, 0, 0, 1 ], "sections": 31 }, "instructor_url": "/instructors/JOHN_NEVIN--instructor_d70c39e7e79b2864ae4964e2" }, { "instructor_uid": "instructor_04912086b8c09fdb4d26b027", "source": "madgrades", "source_instructor_id": "940866", "identity_basis": "source_id", "identity_status": "source_identified", "name": "VERDA BLYTHE", "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": 26, "quality": 4.88, "difficulty": 2.58, "quality_count": 26, "difficulty_count": 26, "profile_id": "rmp:1523459", "source_url": "https://www.ratemyprofessors.com/professor/1523459", "match_basis": "exact_name", "observed_at": "2026-09-07 16:00:11.307850+00:00", "courses": { "course_fef39f7852f91cdeb0abc83a": { "review_count": 3, "quality": 4.67, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.349428601541998, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.703, "graded": 2485, "counts": [ 1561, 528, 307, 46, 34, 6, 3 ], "sections": 77 }, "instructor_url": "/instructors/VERDA_BLYTHE--instructor_04912086b8c09fdb4d26b027" }, { "instructor_uid": "instructor_cd52cadfcbdcb681ad0022ae", "source": "madgrades", "source_instructor_id": "6303349", "identity_basis": "source_id", "identity_status": "source_identified", "name": "THOMAS GEORGE", "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": 3.783, "graded": 263, "counts": [ 189, 41, 28, 3, 2, 0, 0 ], "sections": 7 }, "instructor_url": "/instructors/THOMAS_GEORGE--instructor_cd52cadfcbdcb681ad0022ae" }, { "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_60c7e25452d75a950999dcb4", "source": "madgrades", "source_instructor_id": "6228903", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NITISHA TOMAR", "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": 3.741, "graded": 459, "counts": [ 275, 142, 37, 2, 2, 0, 1 ], "sections": 15 }, "instructor_url": "/instructors/NITISHA_TOMAR" }, { "instructor_uid": "instructor_884127ec35611e5e27f58fee", "source": "madgrades", "source_instructor_id": "3121361", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TARUN KUSHWAHA", "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": 3.659, "graded": 246, "counts": [ 97, 130, 19, 0, 0, 0, 0 ], "sections": 9 }, "instructor_url": "/instructors/TARUN_KUSHWAHA--instructor_884127ec35611e5e27f58fee" }, { "instructor_uid": "instructor_255fe5ea8bf582ed6ed99567", "source": "madgrades", "source_instructor_id": "6651485", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIVA GANESH GEDDADA", "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": 3.509, "graded": 887, "counts": [ 412, 275, 107, 50, 21, 14, 8 ], "sections": 5 }, "instructor_url": "/instructors/SIVA_GANESH_GEDDADA--instructor_255fe5ea8bf582ed6ed99567" }, { "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" }, { "instructor_uid": "instructor_23c6038066fa735a0f708f84", "source": "enrollment", "source_instructor_id": "tkushwaha2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tarun Kushwaha", "email": "TARUN.KUSHWAHA@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/TARUN_KUSHWAHA" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "JOHN NEVIN" ], "a": 22, "ab": 10, "b": 2, "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": 35, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "JOHN NEVIN" ], "a": 18, "ab": 17, "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": 36, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "JOHN NEVIN" ], "a": 16, "ab": 18, "b": 12, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "JOHN NEVIN" ], "a": 15, "ab": 13, "b": 10, "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 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "JOHN NEVIN" ], "a": 12, "ab": 9, "b": 12, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "JOHN NEVIN" ], "a": 17, "ab": 12, "b": 22, "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": 52, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "JOHN NEVIN" ], "a": 23, "ab": 18, "b": 6, "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": 47, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "JOHN NEVIN" ], "a": 15, "ab": 10, "b": 9, "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": 34, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "JOHN NEVIN" ], "a": 19, "ab": 17, "b": 9, "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 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "JOHN NEVIN" ], "a": 13, "ab": 18, "b": 16, "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": 48, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "JOHN NEVIN" ], "a": 15, "ab": 22, "b": 13, "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": 50, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Verda Blythe" ], "a": 25, "ab": 1, "b": 0, "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": 27, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Verda Blythe" ], "a": 9, "ab": 0, "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": 9, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "THOMAS GEORGE", "Verda Blythe" ], "a": 15, "ab": 1, "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": 19, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Verda Blythe", "YEPENG JIN" ], "a": 37, "ab": 4, "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": 41, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "NITISHA TOMAR", "Tarun Kushwaha" ], "a": 4, "ab": 16, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Siva Ganesh Geddada", "Tarun Kushwaha" ], "a": 5, "ab": 24, "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": 37, "source_aliases": [ "MARKETNG 725" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 725", "course_uid": "course_5db837c48e286252a29ab3c8", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Tarun Kushwaha", "WENDY JIANG" ], "a": 12, "ab": 6, "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": 20, "source_aliases": [ "MARKETNG 725" ] } ] ``` ### statistics #### gpa 3.619 #### graded 641 #### counts * 292 * 216 * 127 * 6 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_5db837c48e286252a29ab3c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_5db837c48e286252a29ab3c8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_5db837c48e286252a29ab3c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_5db837c48e286252a29ab3c8-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_5db837c48e286252a29ab3c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_5db837c48e286252a29ab3c8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_5db837c48e286252a29ab3c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_5db837c48e286252a29ab3c8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6193447737909517 #### count 641 #### university ##### size 4800 ##### gpa Percentile 39 ##### count Percentile 84 ##### median Count 147 ##### 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 | 382 | false | | 3.2–3.6 | 1390 | false | | 3.6–4.0 | 3010 | true | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 43, "gpaPercentile": 50, "countPercentile": 71, "medianCount": 280, "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": 17, "current": false }, { "range": "3.6–4.0", "count": 24, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.757142857142857 ##### count 35 ##### university ###### size 695 ###### gpa Percentile 80 ###### count Percentile 10 ###### 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 | false | | 3.6–4.0 | 199 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 0, "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": 3, "current": true } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.736111111111111 ##### count 36 ##### university ###### size 720 ###### gpa Percentile 80 ###### count Percentile 12 ###### 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 | false | | 3.6–4.0 | 217 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 64, "countPercentile": 18, "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": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.5 ##### count 48 ##### university ###### size 758 ###### gpa Percentile 60 ###### count Percentile 30 ###### 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": 55, "countPercentile": 18, "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 } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.5657894736842106 ##### count 38 ##### university ###### size 793 ###### gpa Percentile 66 ###### count Percentile 17 ###### 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": 73, "countPercentile": 18, "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 3.5 ##### count 33 ##### university ###### size 805 ###### gpa Percentile 62 ###### count Percentile 7 ###### 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": 54, "countPercentile": 23, "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 3.4326923076923075 ##### count 52 ##### university ###### size 804 ###### gpa Percentile 56 ###### count Percentile 36 ###### 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": 31, "countPercentile": 46, "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 3.6808510638297873 ##### count 47 ##### university ###### size 851 ###### gpa Percentile 74 ###### count Percentile 33 ###### 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 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 71, "countPercentile": 36, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.588235294117647 ##### count 34 ##### university ###### size 853 ###### gpa Percentile 68 ###### count Percentile 8 ###### 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": 71, "countPercentile": 0, "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 } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.611111111111111 ##### count 45 ##### university ###### size 918 ###### gpa Percentile 70 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 79, "countPercentile": 14, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.4479166666666665 ##### count 48 ##### university ###### size 954 ###### gpa Percentile 50 ###### count Percentile 34 ###### 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": 33, "countPercentile": 33, "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 } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.52 ##### count 50 ##### university ###### size 991 ###### gpa Percentile 54 ###### 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 | 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": 47, "countPercentile": 33, "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 } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.925925925925926 ##### count 27 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1202 ##### term 1202 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1224 ##### term 1224 ##### gpa 3.8157894736842106 ##### count 19 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1234 ##### term 1234 ##### gpa 3.951219512195122 ##### count 41 ##### university ###### size 1188 ###### gpa Percentile 89 ###### 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 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 25, "gpaPercentile": 100, "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": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.5454545454545454 ##### count 22 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1252 ##### term 1252 ##### gpa 3.4594594594594597 ##### count 37 ##### university ###### size 1333 ###### gpa Percentile 28 ###### count Percentile 15 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 31, "countPercentile": 19, "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": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.75 ##### count 20 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | ### benchmarks #### all ##### school ###### size 4800 ###### gpa 3.6511708262552527 ###### top Share 81.25987417244588 ###### count 147 ##### MARKETNG ###### size 43 ###### gpa 3.6176282638253325 ###### top Share 81.32016842573461 ###### count 280 #### terms ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_d70c39e7e79b2864ae4964e2", "name": "JOHN NEVIN", "count": 466, "terms": [ { "term": "1074", "count": 35, "sections": 1, "gpa": 3.757142857142857 }, { "term": "1084", "count": 36, "sections": 1, "gpa": 3.736111111111111 }, { "term": "1094", "count": 48, "sections": 1, "gpa": 3.5 }, { "term": "1104", "count": 38, "sections": 1, "gpa": 3.5657894736842106 }, { "term": "1112", "count": 33, "sections": 1, "gpa": 3.5 }, { "term": "1122", "count": 52, "sections": 1, "gpa": 3.4326923076923075 }, { "term": "1132", "count": 47, "sections": 1, "gpa": 3.6808510638297873 }, { "term": "1142", "count": 34, "sections": 1, "gpa": 3.588235294117647 }, { "term": "1152", "count": 45, "sections": 1, "gpa": 3.611111111111111 }, { "term": "1162", "count": 48, "sections": 1, "gpa": 3.4479166666666665 }, { "term": "1172", "count": 50, "sections": 1, "gpa": 3.52 } ] }, { "uid": "instructor_04912086b8c09fdb4d26b027", "name": "VERDA BLYTHE", "count": 96, "terms": [ { "term": "1192", "count": 27, "sections": 1, "gpa": 3.925925925925926 }, { "term": "1202", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1224", "count": 19, "sections": 1, "gpa": 3.8157894736842106 }, { "term": "1234", "count": 41, "sections": 1, "gpa": 3.951219512195122 } ] }, { "uid": "instructor_884127ec35611e5e27f58fee", "name": "TARUN KUSHWAHA", "count": 79, "terms": [ { "term": "1242", "count": 22, "sections": 1, "gpa": 3.5454545454545454 }, { "term": "1252", "count": 37, "sections": 1, "gpa": 3.4594594594594597 }, { "term": "1262", "count": 20, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_d39c0242d98688b322522931", "name": "YEPENG JIN", "count": 41, "terms": [ { "term": "1234", "count": 41, "sections": 1, "gpa": 3.951219512195122 } ] }, { "uid": "instructor_255fe5ea8bf582ed6ed99567", "name": "SIVA GANESH GEDDADA", "count": 37, "terms": [ { "term": "1252", "count": 37, "sections": 1, "gpa": 3.4594594594594597 } ] }, { "uid": "instructor_60c7e25452d75a950999dcb4", "name": "NITISHA TOMAR", "count": 22, "terms": [ { "term": "1242", "count": 22, "sections": 1, "gpa": 3.5454545454545454 } ] }, { "uid": "instructor_20c6ade525a903ffc3c550fb", "name": "WENDY JIANG", "count": 20, "terms": [ { "term": "1262", "count": 20, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_cd52cadfcbdcb681ad0022ae", "name": "THOMAS GEORGE", "count": 19, "terms": [ { "term": "1224", "count": 19, "sections": 1, "gpa": 3.8157894736842106 } ] } ] ``` ## following None recorded.