# MARKETNG 710: Marketing Research | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_710) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 4c30c906f7e6e0c604b5ebcdbd4109a49b361c6d9b981ca36be48154fd0d4fee ### course id MARKETNG 710 ### course uid course\_13a215a194f541d690457f2a ### catalog version id ea8bcfdcfc2618cb101cfdf1e789566808bbe736d8df242b799070cddb9d88eb ### course number 710 ### subjects * MARKETNG ### title MARKETING RESEARCH ### description An overview of the marketing research process from a methodological perspective. Topics: Research design, data collection procedures, sampling and data analysis. ### requirements text Graduate/professional standing ### credits min 2 ### credits max 3 ### credit offering ids * 1272:237:003177 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id d268c54a714f5e9016a3f42f2d99e61a6a7a04f317709e2560c859e6485c1aad ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MARKETING RESEARCH covers the marketing research process from a methodological perspective, including research design, data collection, sampling, and data analysis. ### llm topics * Research design * Data collection procedures * Sampling * Data analysis ### llm skills * Marketing research methodology * Research design and data analysis ### llm assumed background None recorded. ### llm search phrases * marketing research methodology * research design data collection * sampling data analysis marketing ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 1a78504fa2f69202bb99d7a28698ac2ceed350f48704d264704721782084b083 #### course id MARKETNG 710 #### current instructors ```json [ { "instructor_uid": "instructor_1b2e8ed2fdc2c04938d4b88a", "message": "No course-specific reviews available", "name": "Qing Liu", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2882262", "summary": [ { "citations": [ { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2022: 3.64 GPA, 97.4% A/AB (n=38 letter grades); Fall 2024: 3.62 GPA, 95.0% A/AB (n=20 letter grades); Fall 2025: 3.55 GPA, 82.1% A/AB (n=28 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 2024: 3.62 GPA, 95.0% A/AB (n=20 letter grades); Spring 2025: 3.67 GPA, 88.5% A/AB (n=26 letter grades); Fall 2025: 3.55 GPA, 82.1% A/AB (n=28 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "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 QING LIU is recorded teaching in Spring 2008, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Fall 2015, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 710", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "source_record": { "entity_id": "87980ff6-2432-3c2e-97c3-083bbfb67beb", "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", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------- | ------------------ | -------------------------------- | -------------------------------- | ---------------------- | | instructor\_1b2e8ed2fdc2c04938d4b88a | enrollment | qliu3 | netid | source\_identified | Qing Liu | QLIU\@BUS.WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/QING\_LIU | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:003177", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1272", "source_course_id": "003177", "source_subject_id": "237", "title": "Marketing Research", "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:1272:10946", "term_id": "1272", "source_section_id": "10946", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Online (some classroom)", "capacity": 27, "enrolled": 22, "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_68741c126b3c7fbeb29f38e8", "source": "madgrades", "source_instructor_id": "1639038", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID A. SCHWEIDEL", "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": 3.483, "graded": 790, "counts": [ 232, 324, 212, 19, 3, 0, 0 ], "sections": 26 }, "instructor_url": "/instructors/DAVID_A_SCHWEIDEL--instructor_68741c126b3c7fbeb29f38e8" }, { "instructor_uid": "instructor_112e3a54d90f201c0d47a375", "source": "madgrades", "source_instructor_id": "3039911", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NEERAJ ARORA", "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": 3.525, "graded": 785, "counts": [ 261, 323, 187, 11, 2, 0, 1 ], "sections": 87 }, "instructor_url": "/instructors/NEERAJ_ARORA--instructor_112e3a54d90f201c0d47a375" }, { "instructor_uid": "instructor_e4f89e2975d26f17ef1187ce", "source": "madgrades", "source_instructor_id": "4384738", "identity_basis": "source_id", "identity_status": "source_identified", "name": "QING LIU", "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": 3.53, "graded": 2582, "counts": [ 909, 1087, 447, 116, 20, 2, 1 ], "sections": 80 }, "instructor_url": "/instructors/QING_LIU--instructor_e4f89e2975d26f17ef1187ce" }, { "instructor_uid": "instructor_5b6f2bf08f4fc8079a7d3762", "source": "madgrades", "source_instructor_id": "750163", "identity_basis": "source_id", "identity_status": "source_identified", "name": "VICTOR BARGER", "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": 3, "quality": 5, "difficulty": 2, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:1112522", "source_url": "https://www.ratemyprofessors.com/professor/1112522", "match_basis": "exact_name", "observed_at": "2026-09-07 16:00:08.606866+00:00", "courses": {}, "bayesian_quality": 3.8345093769970395, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.582, "graded": 79, "counts": [ 35, 26, 15, 2, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/VICTOR_BARGER" }, { "instructor_uid": "instructor_9c629bc6803e4abd5d297843", "source": "madgrades", "source_instructor_id": "3190559", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREW DAHL", "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": 3.46, "graded": 63, "counts": [ 17, 29, 12, 5, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ANDREW_DAHL--instructor_9c629bc6803e4abd5d297843" }, { "instructor_uid": "instructor_0c84168c4345392b641e01a1", "source": "madgrades", "source_instructor_id": "5127437", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAWRENCE FISHER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.8, "graded": 15, "counts": [ 9, 6, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/LAWRENCE_FISHER" }, { "instructor_uid": "instructor_016c54ad381023fd4cd7ccc8", "source": "madgrades", "source_instructor_id": "5277457", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YOU CHAN CHUNG", "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": 3.487, "graded": 1062, "counts": [ 351, 398, 266, 35, 10, 1, 1 ], "sections": 52 }, "instructor_url": "/instructors/YOU_CHAN_CHUNG" }, { "instructor_uid": "instructor_1aa881766ffb5d39834dc692", "source": "madgrades", "source_instructor_id": "6228938", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUYEON JUNG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.54, "graded": 631, "counts": [ 264, 214, 113, 25, 12, 3, 0 ], "sections": 19 }, "instructor_url": "/instructors/SUYEON_JUNG" }, { "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_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_0856bc3c984bebf08bca792f", "source": "madgrades", "source_instructor_id": "4942836", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JONATHAN HENRICKS", "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": 3.601, "graded": 79, "counts": [ 27, 42, 9, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/JONATHAN_HENRICKS" }, { "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_9928806b67ca78c8bd998cb4", "source": "madgrades", "source_instructor_id": "452028", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALYSSA GOSBEE", "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": 3.339, "graded": 2192, "counts": [ 496, 787, 685, 173, 43, 6, 2 ], "sections": 58 }, "instructor_url": "/instructors/ALYSSA_GOSBEE" }, { "instructor_uid": "instructor_3de3f73d046aabc5a180f622", "source": "madgrades", "source_instructor_id": "6450144", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAURA CREESE", "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": 3.814, "graded": 242, "counts": [ 182, 42, 8, 8, 2, 0, 0 ], "sections": 11 }, "instructor_url": "/instructors/LAURA_CREESE" }, { "instructor_uid": "instructor_3015ada0cf27981ba2786718", "source": "madgrades", "source_instructor_id": "6657413", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIJING XU", "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": 3.667, "graded": 255, "counts": [ 111, 121, 21, 1, 1, 0, 0 ], "sections": 7 }, "instructor_url": "/instructors/YIJING_XU--instructor_3015ada0cf27981ba2786718" }, { "instructor_uid": "instructor_383c90f3d9f94fb144e163ea", "source": "madgrades", "source_instructor_id": "6582834", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINH VU", "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": 3.578, "graded": 45, "counts": [ 22, 12, 8, 2, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/LINH_VU" }, { "instructor_uid": "instructor_1b2e8ed2fdc2c04938d4b88a", "source": "enrollment", "source_instructor_id": "qliu3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Qing Liu", "email": "QLIU@BUS.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/QING_LIU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "DAVID A. SCHWEIDEL" ], "a": 12, "ab": 16, "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": 36, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "Neeraj Arora" ], "a": 9, "ab": 3, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "Qing Liu" ], "a": 8, "ab": 14, "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": 25, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "Neeraj Arora" ], "a": 8, "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": 16, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "Neeraj Arora" ], "a": 7, "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": 20, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "VICTOR BARGER" ], "a": 13, "ab": 9, "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": 30, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Neeraj Arora" ], "a": 9, "ab": 8, "b": 7, "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": 24, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "Qing Liu" ], "a": 17, "ab": 7, "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": 30, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", 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"ab": 16, "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 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Qing Liu" ], "a": 10, "ab": 32, "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": 42, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Qing Liu" ], "a": 11, "ab": 27, "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 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Qing Liu" ], "a": 12, "ab": 30, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Qing Liu", "Seong Kyun Jung" ], "a": 21, "ab": 26, "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": 49, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "JUNGEUN LIM", "Qing Liu" ], "a": 15, "ab": 26, "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 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Qing Liu", "YEPENG JIN" ], "a": 12, "ab": 25, "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": 38, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "JONATHAN HENRICKS", "YOU CHAN CHUNG" ], "a": 19, "ab": 29, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ALYSSA GOSBEE", "XINGJIAN YOU" ], "a": 6, "ab": 11, "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": 26, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "LAURA CREESE", "YOU CHAN CHUNG" ], "a": 19, "ab": 14, "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": 35, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Qing Liu", "YIJING XU" ], "a": 6, "ab": 13, "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": 20, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "LINH VU", "YOU CHAN CHUNG" ], "a": 14, "ab": 9, "b": 2, "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": 26, "source_aliases": [ "MARKETNG 710" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 710", "course_uid": "course_13a215a194f541d690457f2a", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Qing Liu", "XINGJIAN YOU" ], "a": 8, "ab": 15, "b": 5, "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": 28, "source_aliases": [ "MARKETNG 710" ] } ] ``` ### statistics #### gpa 3.625 #### graded 940 #### counts * 349 * 485 * 99 * 6 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_13a215a194f541d690457f2a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_13a215a194f541d690457f2a-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_13a215a194f541d690457f2a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_13a215a194f541d690457f2a-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_13a215a194f541d690457f2a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_13a215a194f541d690457f2a-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_13a215a194f541d690457f2a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_13a215a194f541d690457f2a-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.625 #### count 940 #### university ##### size 5393 ##### gpa Percentile 38 ##### count Percentile 84 ##### median Count 204 ##### 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 | 16 | false | | 2.8–3.2 | 374 | false | | 3.2–3.6 | 1521 | false | | 3.6–4.0 | 3482 | true | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 45, "gpaPercentile": 50, "countPercentile": 70, "medianCount": 398, "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": 20, "current": false }, { "range": "3.6–4.0", "count": 24, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.5555555555555554 ##### count 36 ##### university ###### size 723 ###### gpa Percentile 71 ###### count Percentile 14 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 9, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 3.65625 ##### count 16 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1084 ##### term 1084 ##### gpa 3.6 ##### count 25 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1092 ##### term 1092 ##### gpa 3.6875 ##### count 16 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1102 ##### term 1102 ##### gpa 3.575 ##### count 20 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1104 ##### term 1104 ##### gpa 3.5833333333333335 ##### count 30 ##### university ###### size 793 ###### gpa Percentile 68 ###### count Percentile 0 ###### 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": 82, "countPercentile": 0, "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 3.5416666666666665 ##### count 24 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1114 ##### term 1114 ##### gpa 3.683333333333333 ##### count 30 ##### university ###### size 804 ###### gpa Percentile 77 ###### count Percentile 0 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 0, "medianCount": 95, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.6 ##### count 15 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1124 ##### term 1124 ##### gpa 3.4944444444444445 ##### count 90 ##### university ###### size 821 ###### gpa Percentile 56 ###### count Percentile 64 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 36, "medianCount": 101, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.8 ##### count 15 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1134 ##### term 1134 ##### gpa 3.625 ##### count 20 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1142 ##### term 1142 ##### gpa 3.5 ##### count 18 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1144 ##### term 1144 ##### gpa 3.64 ##### count 25 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1152 ##### term 1152 ##### gpa 3.6944444444444446 ##### count 18 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1154 ##### term 1154 ##### gpa 3.6875 ##### count 24 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1162 ##### term 1162 ##### gpa 3.604651162790698 ##### count 43 ##### university ###### size 954 ###### gpa Percentile 64 ###### count Percentile 25 ###### 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 | false | | 3.6–4.0 | 345 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 67, "countPercentile": 13, "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": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.789473684210526 ##### count 38 ##### university ###### size 991 ###### gpa Percentile 77 ###### count Percentile 17 ###### 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 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 87, "countPercentile": 13, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.619047619047619 ##### count 42 ##### university ###### size 1025 ###### gpa Percentile 62 ###### count Percentile 22 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 60, "countPercentile": 20, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.6447368421052633 ##### count 38 ##### university ###### size 1077 ###### gpa Percentile 61 ###### count Percentile 17 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 50, "countPercentile": 19, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.642857142857143 ##### count 42 ##### university ###### size 1102 ###### gpa Percentile 59 ###### count Percentile 24 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 67, "countPercentile": 13, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.693877551020408 ##### count 49 ##### university ###### size 1111 ###### gpa Percentile 56 ###### count Percentile 33 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 47, "countPercentile": 27, "medianCount": 66.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.682926829268293 ##### count 41 ##### university ###### size 1157 ###### gpa Percentile 55 ###### count Percentile 24 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 18, "gpaPercentile": 53, "countPercentile": 12, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.6447368421052633 ##### count 38 ##### university ###### size 1216 ###### gpa Percentile 51 ###### 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 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 21, "gpaPercentile": 50, "countPercentile": 25, "medianCount": 48, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.644230769230769 ##### count 52 ##### university ###### size 1188 ###### gpa Percentile 49 ###### count Percentile 38 ###### 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": 50, "countPercentile": 46, "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 3.4423076923076925 ##### count 26 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1244 ##### term 1244 ##### gpa 3.742857142857143 ##### count 35 ##### university ###### size 1241 ###### gpa Percentile 60 ###### count Percentile 11 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 73, "countPercentile": 0, "medianCount": 57, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.625 ##### count 20 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1254 ##### term 1254 ##### gpa 3.673076923076923 ##### count 26 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1262 ##### term 1262 ##### gpa 3.5535714285714284 ##### count 28 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | ### benchmarks #### all ##### school ###### size 5393 ###### gpa 3.6625229818300062 ###### top Share 81.95370403506 ###### count 204 ##### MARKETNG ###### size 45 ###### gpa 3.6163573183352606 ###### top Share 80.63636204011816 ###### count 398 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MARKETNG ###### size 12 ###### gpa 3.6462582238296783 ###### top Share 81.03071334094919 ###### count 83.5 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MARKETNG ###### size 13 ###### gpa 3.555144626819006 ###### top Share 73.22807090077647 ###### count 63 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### MARKETNG ###### size 12 ###### gpa 3.6187539748971713 ###### top Share 80.33045075037897 ###### count 63.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MARKETNG ###### size 12 ###### gpa 3.6729280167649585 ###### top Share 84.84025244811484 ###### count 54 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MARKETNG ###### size 11 ###### gpa 3.59982416580592 ###### top Share 79.65239893839671 ###### count 41 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MARKETNG ###### size 12 ###### gpa 3.4966703706493365 ###### top Share 67.49117518120711 ###### count 96 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MARKETNG ###### size 14 ###### gpa 3.4980091584163273 ###### top Share 70.18384110726859 ###### count 51 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MARKETNG ###### size 13 ###### gpa 3.4953997176684464 ###### top Share 69.59909127276356 ###### count 95 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MARKETNG ###### size 14 ###### gpa 3.5584167442834986 ###### top Share 73.45620470686285 ###### count 61.5 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MARKETNG ###### size 12 ###### gpa 3.538413850368297 ###### top Share 74.68267846802034 ###### count 101 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MARKETNG ###### size 15 ###### gpa 3.471737930146271 ###### top Share 70.31146098668106 ###### count 69 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### MARKETNG ###### size 12 ###### gpa 3.459283915383871 ###### top Share 67.41770975131514 ###### count 68.5 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MARKETNG ###### size 15 ###### gpa 3.4841465706309886 ###### top Share 70.26165466718561 ###### count 50 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MARKETNG ###### size 15 ###### gpa 3.4661609502194115 ###### top Share 69.07984234038982 ###### count 49 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MARKETNG ###### size 15 ###### gpa 3.477227982124518 ###### top Share 68.69085978208818 ###### count 87 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MARKETNG ###### size 12 ###### gpa 3.4932521247260735 ###### top Share 70.62955269278628 ###### count 89 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MARKETNG ###### size 16 ###### gpa 3.4908377363724963 ###### top Share 73.19122941226513 ###### count 89.5 ##### 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 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.559382039481831 ###### top Share 77.43040910582185 ###### count 87.5 ##### 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 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.70671270621466 ###### top Share 87.74126742620032 ###### count 66.5 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MARKETNG ###### size 18 ###### gpa 3.667859956376553 ###### top Share 86.14155685495416 ###### count 70.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MARKETNG ###### size 21 ###### gpa 3.646486622913183 ###### top Share 83.14179199968991 ###### count 48 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MARKETNG ###### size 25 ###### gpa 3.6234775035319644 ###### top Share 80.59975420956242 ###### count 58 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MARKETNG ###### size 19 ###### gpa 3.5793238314410947 ###### top Share 81.75222641772163 ###### count 69 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MARKETNG ###### size 23 ###### gpa 3.5744699156490247 ###### top Share 78.42184566175688 ###### count 57 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MARKETNG ###### size 17 ###### gpa 3.547655677832614 ###### top Share 77.26599046949728 ###### count 91 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MARKETNG ###### size 17 ###### gpa 3.481456315169987 ###### top Share 71.32646556786042 ###### count 54 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MARKETNG ###### size 16 ###### gpa 3.550893499083995 ###### top Share 77.67608273860581 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_e4f89e2975d26f17ef1187ce", "name": "QING LIU", "count": 492, "terms": [ { "term": "1084", "count": 25, "sections": 1, "gpa": 3.6 }, { "term": "1114", "count": 30, "sections": 1, "gpa": 3.683333333333333 }, { "term": "1124", "count": 27, "sections": 1, "gpa": 3.574074074074074 }, { "term": "1134", "count": 20, "sections": 1, "gpa": 3.625 }, { "term": "1144", "count": 25, "sections": 1, "gpa": 3.64 }, { "term": "1154", "count": 24, "sections": 1, "gpa": 3.6875 }, { "term": "1162", "count": 43, "sections": 1, "gpa": 3.604651162790698 }, { "term": "1182", "count": 42, "sections": 1, "gpa": 3.619047619047619 }, { "term": "1192", "count": 38, "sections": 1, "gpa": 3.6447368421052633 }, { "term": "1202", "count": 42, "sections": 1, "gpa": 3.642857142857143 }, { "term": "1212", "count": 49, "sections": 1, "gpa": 3.693877551020408 }, { "term": "1222", "count": 41, "sections": 1, "gpa": 3.682926829268293 }, { "term": "1232", "count": 38, "sections": 1, "gpa": 3.6447368421052633 }, { "term": "1252", "count": 20, "sections": 1, "gpa": 3.625 }, { "term": "1262", "count": 28, "sections": 1, "gpa": 3.5535714285714284 } ] }, { "uid": "instructor_016c54ad381023fd4cd7ccc8", "name": "YOU CHAN CHUNG", "count": 187, "terms": [ { "term": "1142", "count": 18, "sections": 1, "gpa": 3.5 }, { "term": "1152", "count": 18, "sections": 1, "gpa": 3.6944444444444446 }, { "term": "1172", "count": 38, "sections": 1, "gpa": 3.789473684210526 }, { "term": "1234", "count": 52, "sections": 1, "gpa": 3.644230769230769 }, { "term": "1244", "count": 35, "sections": 1, "gpa": 3.742857142857143 }, { "term": "1254", "count": 26, "sections": 1, "gpa": 3.673076923076923 } ] }, { "uid": "instructor_112e3a54d90f201c0d47a375", "name": "NEERAJ ARORA", "count": 91, "terms": [ { "term": "1082", "count": 16, "sections": 1, "gpa": 3.65625 }, { "term": "1092", "count": 16, "sections": 1, "gpa": 3.6875 }, { "term": "1102", "count": 20, "sections": 1, "gpa": 3.575 }, { "term": "1112", "count": 24, "sections": 1, "gpa": 3.5416666666666665 }, { "term": "1122", "count": 15, "sections": 1, "gpa": 3.6 } ] }, { "uid": "instructor_9c629bc6803e4abd5d297843", "name": "ANDREW DAHL", "count": 63, "terms": [ { "term": "1124", "count": 63, "sections": 1, "gpa": 3.4603174603174605 } ] }, { "uid": "instructor_0caeeed03e5c3526ea11da5e", "name": "XINGJIAN YOU", "count": 54, "terms": [ { "term": "1242", "count": 26, "sections": 1, "gpa": 3.4423076923076925 }, { "term": "1262", "count": 28, "sections": 1, "gpa": 3.5535714285714284 } ] }, { "uid": "instructor_0856bc3c984bebf08bca792f", "name": "JONATHAN HENRICKS", "count": 52, "terms": [ { "term": "1234", "count": 52, "sections": 1, "gpa": 3.644230769230769 } ] }, { "uid": "instructor_1aa881766ffb5d39834dc692", "name": "SUYEON JUNG", "count": 49, "terms": [ { "term": "1212", "count": 49, "sections": 1, "gpa": 3.693877551020408 } ] }, { "uid": "instructor_1c241ab83c8bca8831d4c79a", "name": "JUNGEUN LIM", "count": 41, "terms": [ { "term": "1222", "count": 41, "sections": 1, "gpa": 3.682926829268293 } ] }, { "uid": "instructor_d39c0242d98688b322522931", "name": "YEPENG JIN", "count": 38, "terms": [ { "term": "1232", "count": 38, "sections": 1, "gpa": 3.6447368421052633 } ] }, { "uid": "instructor_68741c126b3c7fbeb29f38e8", "name": "DAVID A. 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