# MARKETNG 715: Marketing Communications | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_715) ## 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 2e44ce245f618260aa8cd063a055168122b7f696729248bba4bfe867b88728db ### course id MARKETNG 715 ### course uid course\_fdbab2f1db740c454519675a ### catalog version id 02a0641023a0440eb2d6ce3d3f6200af8899eed77a201a0ec95a19dafdad8c55 ### course number 715 ### subjects * MARKETNG ### title MARKETING COMMUNICATIONS ### description Covers multiple approaches to marketing communications. Identifies unique opportunities for creatively solving problems. Develops skills to approach marketing solutions from creative ethical perspectives. Builds and refines marketing skills required to identify, articulate, and resolve marketing and policy problems. Leverages marketing communications to improve society and well-being. ### requirements text Graduate/professional standing or declared in graduate Business Exchange program ### credits min 2 ### credits max 3 ### credit offering ids * 1272:237:003178 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 6dac97de9da8b71066b81e1889447bca1cb1809459c02ed5c862c8bb30ae2155 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MARKETING COMMUNICATIONS covers multiple approaches to marketing communications and creative problem solving. ### llm topics * Marketing communications approaches * Creative problem solving opportunities * Ethical marketing perspectives * Marketing and policy problems ### llm skills * Creative and ethical problem solving in marketing * Identifying and resolving marketing and policy problems * Leveraging marketing communications for social good ### llm assumed background None recorded. ### llm search phrases * marketing communications * creative problem solving * ethical marketing * marketing policy ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 10336f6bcd56b567b02092e90e0d50b2127f00f536c8ca582ed5f083b8483db2 #### course id MARKETNG 715 #### current instructors ```json [ { "instructor_uid": "instructor_f554a434c174bf49e29277cd", "message": "No course-specific reviews available", "name": "Evan Polman", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2446887", "summary": [ { "citations": [ { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "153302c5-d391-3adc-8fbe-c5a649454474", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "153302c5-d391-3adc-8fbe-c5a649454474", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "153302c5-d391-3adc-8fbe-c5a649454474", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "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, 75.8% A/AB (n=33 letter grades); Fall 2024: 3.72 GPA, 81.2% A/AB (n=16 letter grades); Fall 2025: 3.74 GPA, 84.2% A/AB (n=19 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, 75.8% A/AB (n=33 letter grades); Fall 2024: 3.72 GPA, 81.2% A/AB (n=16 letter grades); Fall 2025: 3.74 GPA, 84.2% A/AB (n=19 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "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 EVAN POLMAN is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "153302c5-d391-3adc-8fbe-c5a649454474", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "153302c5-d391-3adc-8fbe-c5a649454474", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "153302c5-d391-3adc-8fbe-c5a649454474", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "153302c5-d391-3adc-8fbe-c5a649454474", "source_record": { "entity_id": "153302c5-d391-3adc-8fbe-c5a649454474", "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 ```json [ { "instructor_uid": "instructor_f554a434c174bf49e29277cd", "source": "enrollment", "source_instructor_id": "polman", "identity_basis": "netid", "identity_status": "source_identified", "name": "Evan Polman", "email": "EVAN.POLMAN@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", "ratings": { "review_count": 8, "quality": 5, "difficulty": 2.12, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2446887", "source_url": "https://www.ratemyprofessors.com/professor/2446887", "match_basis": "exact_name", "observed_at": "2026-09-07 16:40:03.402130+00:00", "courses": {}, "bayesian_quality": 4.042632702533282, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/EVAN_POLMAN" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:003178", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1272", "source_course_id": "003178", "source_subject_id": "237", "title": "Marketing Communications", "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:1272:25504", "term_id": "1272", "source_section_id": "25504", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 10, "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_f3df6c63106035945aacf5af", "source": "madgrades", "source_instructor_id": "3643049", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DEBORAH J MITCHELL", "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": 3.769, "graded": 1220, "counts": [ 809, 278, 121, 6, 5, 1, 0 ], "sections": 29 }, "instructor_url": "/instructors/DEBORAH_J_MITCHELL--instructor_f3df6c63106035945aacf5af" }, { "instructor_uid": "instructor_caeda1f81eb72b0f72a64039", "source": "madgrades", "source_instructor_id": "4461492", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBIN TANNER", "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": 4, "quality": 3.5, "difficulty": 3, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:1825293", "source_url": "https://www.ratemyprofessors.com/professor/1825293", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:19.454778+00:00", "courses": {}, "bayesian_quality": 3.6330714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.526, "graded": 1188, "counts": [ 435, 422, 306, 20, 1, 2, 2 ], "sections": 51 }, "instructor_url": "/instructors/ROBIN_TANNER--instructor_caeda1f81eb72b0f72a64039" }, { "instructor_uid": "instructor_3193e479f1b38145814108cc", "source": "madgrades", "source_instructor_id": "5732965", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DOAK GEIGER", "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": 1, "quality": 1, "difficulty": 2, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2264524", "source_url": "https://www.ratemyprofessors.com/professor/2264524", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:27.381637+00:00", "courses": {}, "bayesian_quality": 3.533034079568186, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.016, "graded": 353, "counts": [ 47, 43, 194, 18, 48, 3, 0 ], "sections": 10 }, "instructor_url": "/instructors/DOAK_GEIGER" }, { "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_75eef1d7ac835277095e70c0", "source": "madgrades", "source_instructor_id": "5277454", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EVAN POLMAN", "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": 8, "quality": 5, "difficulty": 2.12, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2446887", "source_url": "https://www.ratemyprofessors.com/professor/2446887", "match_basis": "exact_name", "observed_at": "2026-09-07 16:40:03.402130+00:00", "courses": {}, "bayesian_quality": 4.042632702533282, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.533, "graded": 1151, "counts": [ 473, 382, 224, 58, 8, 5, 1 ], "sections": 45 }, "instructor_url": "/instructors/EVAN_POLMAN--instructor_75eef1d7ac835277095e70c0" }, { "instructor_uid": "instructor_37bb8b000cf0825bc1651fc5", "source": "madgrades", "source_instructor_id": "5913125", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WONSUK 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": 3.616, "graded": 603, "counts": [ 317, 158, 98, 17, 10, 3, 0 ], "sections": 16 }, "instructor_url": "/instructors/WONSUK_JUNG" }, { "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_98c5ccc1a24f299c84b43cd1", "source": "madgrades", "source_instructor_id": "6227395", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SILA AYOZ", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.453, "graded": 598, "counts": [ 225, 185, 119, 49, 18, 2, 0 ], "sections": 18 }, "instructor_url": "/instructors/SILA_AYOZ--instructor_98c5ccc1a24f299c84b43cd1" }, { "instructor_uid": "instructor_f554a434c174bf49e29277cd", "source": "enrollment", "source_instructor_id": "polman", "identity_basis": "netid", "identity_status": "source_identified", "name": "Evan Polman", "email": "EVAN.POLMAN@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", "ratings": { "review_count": 8, "quality": 5, "difficulty": 2.12, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2446887", "source_url": "https://www.ratemyprofessors.com/professor/2446887", "match_basis": "exact_name", "observed_at": "2026-09-07 16:40:03.402130+00:00", "courses": {}, "bayesian_quality": 4.042632702533282, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/EVAN_POLMAN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "DEBORAH J MITCHELL" ], "a": 38, "ab": 3, "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 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "DEBORAH J MITCHELL" ], "a": 26, "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": 30, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "DEBORAH J MITCHELL", "ROBIN TANNER" ], "a": 40, "ab": 20, "b": 11, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 71, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "DEBORAH J MITCHELL", "ROBIN TANNER" ], "a": 40, "ab": 28, "b": 32, "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": 101, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "DEBORAH J MITCHELL", "ROBIN TANNER" ], "a": 41, "ab": 33, "b": 19, "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": 95, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "DEBORAH J MITCHELL" ], "a": 24, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "ROBIN TANNER" ], "a": 15, "ab": 13, "b": 5, "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": 35, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "ROBIN TANNER" ], "a": 12, "ab": 12, "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": 1, "other": 0, "total": 33, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "ROBIN TANNER" ], "a": 11, "ab": 11, "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": 24, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "DOAK GEIGER" ], "a": 6, "ab": 1, "b": 16, "bc": 1, "c": 3, "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 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "ROBIN TANNER" ], "a": 13, "ab": 11, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 25, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "ROBIN TANNER" ], "a": 12, "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": 16, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "ROBIN TANNER" ], "a": 22, "ab": 9, "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": 31, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Evan Polman", "NITISHA TOMAR" ], "a": 10, "ab": 13, "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": 30, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Evan Polman", "WONSUK JUNG" ], "a": 12, "ab": 13, "b": 7, "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": 33, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Evan Polman", "Seong Kyun Jung" ], "a": 10, "ab": 3, "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": 16, "source_aliases": [ "MARKETNG 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 715", "course_uid": "course_fdbab2f1db740c454519675a", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Evan Polman", "SILA AYOZ" ], "a": 12, "ab": 4, "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 715" ] } ] ``` ### statistics #### gpa 3.659 #### graded 649 #### counts * 344 * 182 * 113 * 6 * 4 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_fdbab2f1db740c454519675a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_fdbab2f1db740c454519675a-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_fdbab2f1db740c454519675a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_fdbab2f1db740c454519675a-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_fdbab2f1db740c454519675a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_fdbab2f1db740c454519675a-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_fdbab2f1db740c454519675a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_fdbab2f1db740c454519675a-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6594761171032357 #### count 649 #### university ##### size 4690 ##### gpa Percentile 43 ##### count Percentile 85 ##### median Count 143 ##### 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 | 15 | false | | 2.8–3.2 | 347 | false | | 3.2–3.6 | 1308 | false | | 3.6–4.0 | 3020 | true | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 43, "gpaPercentile": 52, "countPercentile": 76, "medianCount": 299, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.9634146341463414 ##### count 41 ##### university ###### size 695 ###### gpa Percentile 94 ###### count Percentile 21 ###### 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": 100, "countPercentile": 9, "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 3.933333333333333 ##### count 30 ##### university ###### size 720 ###### gpa Percentile 92 ###### count Percentile 0 ###### 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": 91, "countPercentile": 0, "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 3.704225352112676 ##### count 71 ##### university ###### size 758 ###### gpa Percentile 76 ###### count Percentile 50 ###### 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 | false | | 3.6–4.0 | 236 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 64, "countPercentile": 36, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.5247524752475248 ##### count 101 ##### university ###### size 793 ###### gpa Percentile 62 ###### count Percentile 70 ###### 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": 64, "countPercentile": 55, "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 } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.594736842105263 ##### count 95 ##### university ###### size 804 ###### gpa Percentile 71 ###### count Percentile 67 ###### 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 | true | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 13, "gpaPercentile": 67, "countPercentile": 50, "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": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 4 ##### count 24 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1134 ##### term 1134 ##### gpa 3.585714285714286 ##### count 35 ##### university ###### size 852 ###### gpa Percentile 65 ###### count Percentile 12 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 9, "medianCount": 68.5, "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": 8, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.5625 ##### count 32 ##### university ###### size 878 ###### gpa Percentile 63 ###### count Percentile 4 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 79, "countPercentile": 0, "medianCount": 49, "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": 11, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.6875 ##### count 24 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1174 ##### term 1174 ##### gpa 3.111111111111111 ##### count 27 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1194 ##### term 1194 ##### gpa 3.7708333333333335 ##### count 24 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1204 ##### term 1204 ##### gpa 3.875 ##### count 16 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1224 ##### term 1224 ##### gpa 3.8548387096774195 ##### count 31 ##### university ###### size 1171 ###### gpa Percentile 76 ###### count Percentile 4 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 86, "countPercentile": 0, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.55 ##### count 30 ##### university ###### size 1216 ###### gpa Percentile 41 ###### 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 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 21, "gpaPercentile": 30, "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": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.5454545454545454 ##### count 33 ##### university ###### size 1295 ###### gpa Percentile 38 ###### count Percentile 9 ###### 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 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 19, "gpaPercentile": 39, "countPercentile": 6, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.71875 ##### count 16 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1262 ##### term 1262 ##### gpa 3.736842105263158 ##### count 19 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | ### benchmarks #### all ##### school ###### size 4690 ###### gpa 3.6625750766124985 ###### top Share 82.01052902004957 ###### count 143 ##### MARKETNG ###### size 43 ###### gpa 3.634894157466137 ###### top Share 82.8026520070653 ###### count 299 #### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.5252212400674523 ###### top Share 72.03360675385316 ###### count 52.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MARKETNG ###### size 15 ###### gpa 3.5831559837896063 ###### top Share 78.75128949296631 ###### count 72 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MARKETNG ###### size 15 ###### gpa 3.711898594155838 ###### top Share 89.04767040292319 ###### count 47 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MARKETNG ###### size 23 ###### gpa 3.640927073704417 ###### top Share 82.52296214470145 ###### count 58 ##### 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 ##### 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_caeda1f81eb72b0f72a64039", "name": "ROBIN TANNER", "count": 317, "terms": [ { "term": "1094", "count": 42, "sections": 1, "gpa": 3.5357142857142856 }, { "term": "1104", "count": 55, "sections": 1, "gpa": 3.4545454545454546 }, { "term": "1114", "count": 58, "sections": 1, "gpa": 3.439655172413793 }, { "term": "1134", "count": 35, "sections": 1, "gpa": 3.585714285714286 }, { "term": "1144", "count": 32, "sections": 1, "gpa": 3.5625 }, { "term": "1154", "count": 24, "sections": 1, "gpa": 3.6875 }, { "term": "1194", "count": 24, "sections": 1, "gpa": 3.7708333333333335 }, { "term": "1204", "count": 16, "sections": 1, "gpa": 3.875 }, { "term": "1224", "count": 31, "sections": 1, "gpa": 3.8548387096774195 } ] }, { "uid": "instructor_f3df6c63106035945aacf5af", "name": "DEBORAH J MITCHELL", "count": 207, "terms": [ { "term": "1074", "count": 41, "sections": 1, "gpa": 3.9634146341463414 }, { "term": "1084", "count": 30, "sections": 1, "gpa": 3.933333333333333 }, { "term": "1094", "count": 29, "sections": 1, "gpa": 3.9482758620689653 }, { "term": "1104", "count": 46, "sections": 1, "gpa": 3.608695652173913 }, { "term": "1114", "count": 37, "sections": 1, "gpa": 3.8378378378378377 }, { "term": "1124", "count": 24, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_75eef1d7ac835277095e70c0", "name": "EVAN POLMAN", "count": 98, "terms": [ { "term": "1232", "count": 30, "sections": 1, "gpa": 3.55 }, { "term": "1242", "count": 33, "sections": 1, "gpa": 3.5454545454545454 }, { "term": "1252", "count": 16, "sections": 1, "gpa": 3.71875 }, { "term": "1262", "count": 19, "sections": 1, "gpa": 3.736842105263158 } ] }, { "uid": "instructor_37bb8b000cf0825bc1651fc5", "name": "WONSUK JUNG", "count": 33, "terms": [ { "term": "1242", "count": 33, "sections": 1, "gpa": 3.5454545454545454 } ] }, { "uid": "instructor_60c7e25452d75a950999dcb4", "name": "NITISHA TOMAR", "count": 30, "terms": [ { "term": "1232", "count": 30, "sections": 1, "gpa": 3.55 } ] }, { "uid": "instructor_3193e479f1b38145814108cc", "name": "DOAK GEIGER", "count": 27, "terms": [ { "term": "1174", "count": 27, "sections": 1, "gpa": 3.111111111111111 } ] }, { "uid": "instructor_98c5ccc1a24f299c84b43cd1", "name": "SILA AYOZ", "count": 19, "terms": [ { "term": "1262", "count": 19, "sections": 1, "gpa": 3.736842105263158 } ] }, { "uid": "instructor_1aa881766ffb5d39834dc692", "name": "SUYEON JUNG", "count": 16, "terms": [ { "term": "1252", "count": 16, "sections": 1, "gpa": 3.71875 } ] } ] ``` ## following None recorded.