# MARKETNG 415: Marketing Communications | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_415) ## 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 cfb6472fcb5dccacda4a3b8616dabef771bcbd0dc5b39b89c9bee34906ec1bb8 ### course id MARKETNG 415 ### course uid course\_786a6019d572362aa8771763 ### catalog version id e30bf4520e4f707183458c93d202785415e8a261a8a34c3c13c4906d0f839ba9 ### course number 415 ### 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 MARKETNG 300or declared in undergraduate Business Exchange program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:237:003166 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 70c130126fbe39c3a9cefadb1c113b3577295eaf4102241eca190f26eb6f55a4 ### 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. * Marketing and policy problems. ### llm skills * Creative and ethical problem solving in marketing. * Identifying and resolving marketing and policy problems. * Leveraging communications for social well-being. ### llm assumed background * Foundations of marketing management and program elements. ### llm search phrases * marketing communications creative problem solving * MARKETNG 415 ethical marketing solutions * marketing policy problems communication ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 3f62ed6fb02265b9627b853348d79334b35249bc8e453b5ec024f6521290dc9f #### course id MARKETNG 415 #### 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 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.51 GPA, 78.7% A/AB (n=47 letter grades); Fall 2024: 3.74 GPA, 92.1% A/AB (n=38 letter grades); Fall 2025: 3.71 GPA, 80.6% A/AB (n=36 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: 3.51 GPA, 78.7% A/AB (n=47 letter grades); Fall 2024: 3.74 GPA, 92.1% A/AB (n=38 letter grades); Fall 2025: 3.71 GPA, 80.6% A/AB (n=36 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "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 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 415", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "96df5e84-8630-38c9-869b-fb2945acd839", "source_record": { "entity_id": "96df5e84-8630-38c9-869b-fb2945acd839", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MARKETNG 300or declared in undergraduate Business Exchange program", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "MARKETNG 300", "id": "n1", "kind": "course" }, { "children": [], "condition": "declared in undergraduate Business Exchange program", "course": null, "evidence": "declared in undergraduate Business Exchange program", "id": "n2", "kind": "condition" } ] ``` #### notes * Missing reference to 'undergraduate Business Exchange program' in linked\_courses; treated as verbatim condition. #### root n0 #### status parsed ### 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": "1272:237:003166", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1272", "source_course_id": "003166", "source_subject_id": "237", "title": "Marketing Communications", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25545", "term_id": "1272", "source_section_id": "25545", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 17, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25546", "term_id": "1272", "source_section_id": "25546", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 21, "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_cac75fe13d2cc95d439d5302", "source": "madgrades", "source_instructor_id": "768111", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK RADEMACHER", "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": 3.297, "graded": 310, "counts": [ 55, 122, 95, 32, 5, 0, 1 ], "sections": 7 }, "instructor_url": "/instructors/MARK_RADEMACHER--instructor_cac75fe13d2cc95d439d5302" }, { "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_2b498ec3feaf62dc22abd310", "source": "madgrades", "source_instructor_id": "644843", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KATHRYN KRUEGER", "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": 3.763, "graded": 3310, "counts": [ 2209, 751, 281, 46, 12, 8, 3 ], "sections": 89 }, "instructor_url": "/instructors/KATHRYN_KRUEGER" }, { "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_23e162237469a4cd81615959", "source": "madgrades", "source_instructor_id": "5704715", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MOSES ALTSECH", "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": 35, "quality": 4.23, "difficulty": 3, "quality_count": 35, "difficulty_count": 35, "profile_id": "rmp:2214469", "source_url": "https://www.ratemyprofessors.com/professor/2214469", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:25.355442+00:00", "courses": {}, "bayesian_quality": 4.022613012198762, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.412, "graded": 1563, "counts": [ 603, 478, 265, 119, 67, 22, 9 ], "sections": 44 }, "instructor_url": "/instructors/MOSES_ALTSECH--instructor_23e162237469a4cd81615959" }, { "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 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "DEBORAH J MITCHELL", "MARK RADEMACHER" ], "a": 45, "ab": 18, "b": 17, "bc": 7, "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": 1, "total": 88, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "MARK RADEMACHER" ], "a": 8, "ab": 19, "b": 14, "bc": 8, "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 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "MARK RADEMACHER" ], "a": 14, "ab": 37, "b": 26, "bc": 6, "c": 0, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 85, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "MARK RADEMACHER" ], "a": 7, "ab": 21, "b": 11, "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": 40, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "ROBIN TANNER" ], "a": 23, "ab": 36, "b": 32, "bc": 1, "c": 1, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 95, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "ROBIN TANNER" ], "a": 26, "ab": 44, "b": 39, "bc": 1, "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": 111, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "ROBIN TANNER" ], "a": 35, "ab": 42, "b": 38, "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": 2, "other": 0, "total": 119, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "KATHRYN KRUEGER", "ROBIN TANNER" ], "a": 55, "ab": 39, "b": 26, "bc": 3, "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": 123, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "ROBIN TANNER" ], "a": 30, "ab": 41, "b": 28, "bc": 5, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 105, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "KATHRYN KRUEGER", "ROBIN TANNER" ], "a": 33, "ab": 43, "b": 26, "bc": 1, "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": 104, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "ROBIN TANNER" ], "a": 32, "ab": 28, "b": 30, "bc": 2, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 93, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "ROBIN TANNER" ], "a": 26, "ab": 43, "b": 22, "bc": 1, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 93, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "DOAK GEIGER" ], "a": 9, "ab": 11, "b": 52, "bc": 9, "c": 7, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 89, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Moses Altsech" ], "a": 29, "ab": 17, "b": 4, "bc": 1, "c": 0, "d": 1, "f": 1, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 55, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Moses Altsech" ], "a": 37, "ab": 25, "b": 7, "bc": 2, "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": 72, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Moses Altsech", "ROBIN TANNER" ], "a": 79, "ab": 7, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 89, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "ROBIN TANNER" ], "a": 25, "ab": 15, "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": 42, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Evan Polman", "NITISHA TOMAR" ], "a": 19, "ab": 10, "b": 10, "bc": 2, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Evan Polman", "WONSUK JUNG" ], "a": 20, "ab": 17, "b": 6, "bc": 1, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Evan Polman", "Seong Kyun Jung" ], "a": 22, "ab": 13, "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": 38, "source_aliases": [ "MARKETNG 415" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 415", "course_uid": "course_786a6019d572362aa8771763", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Evan Polman", "SILA AYOZ" ], "a": 22, "ab": 7, "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": 1, "other": 0, "total": 37, "source_aliases": [ "MARKETNG 415" ] } ] ``` ### statistics #### gpa 3.497 #### graded 1606 #### counts * 596 * 533 * 400 * 54 * 13 * 5 * 5 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_786a6019d572362aa8771763-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_786a6019d572362aa8771763-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_786a6019d572362aa8771763-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_786a6019d572362aa8771763-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_786a6019d572362aa8771763-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_786a6019d572362aa8771763-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_786a6019d572362aa8771763-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_786a6019d572362aa8771763-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4965753424657535 #### count 1606 #### university ##### size 4934 ##### gpa Percentile 26 ##### count Percentile 93 ##### median Count 155 ##### 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 | 377 | false | | 3.2–3.6 | 1411 | true | | 3.6–4.0 | 3131 | false | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 43, "gpaPercentile": 19, "countPercentile": 88, "medianCount": 301, "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": 17, "current": true }, { "range": "3.6–4.0", "count": 26, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.5804597701149423 ##### count 87 ##### university ###### size 723 ###### gpa Percentile 74 ###### count Percentile 63 ###### 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": 55, "countPercentile": 73, "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 } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 3.2755102040816326 ##### count 49 ##### university ###### size 695 ###### gpa Percentile 42 ###### count Percentile 32 ###### 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 | true | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 9, "countPercentile": 55, "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": 3, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 3.3154761904761907 ##### count 84 ##### university ###### size 723 ###### gpa Percentile 46 ###### count Percentile 59 ###### 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 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | true | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 13, "gpaPercentile": 8, "countPercentile": 67, "medianCount": 63, "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 } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.425 ##### count 40 ##### university ###### size 720 ###### gpa Percentile 57 ###### count Percentile 20 ###### 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 | true | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 45, "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": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.398936170212766 ##### count 94 ##### university ###### size 758 ###### gpa Percentile 51 ###### count Percentile 67 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 73, "medianCount": 76.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.4318181818181817 ##### count 110 ##### university ###### size 793 ###### gpa Percentile 54 ###### count Percentile 72 ###### 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": 55, "countPercentile": 82, "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 3.47008547008547 ##### count 117 ##### university ###### size 804 ###### gpa Percentile 59 ###### count Percentile 74 ###### 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": 42, "countPercentile": 83, "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 3.5934959349593494 ##### count 123 ##### university ###### size 821 ###### gpa Percentile 66 ###### count Percentile 77 ###### 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": 45, "countPercentile": 82, "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 } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.4285714285714284 ##### count 105 ##### university ###### size 852 ###### gpa Percentile 51 ###### count Percentile 72 ###### 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": 55, "countPercentile": 64, "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 3.5242718446601944 ##### count 103 ##### university ###### size 878 ###### gpa Percentile 61 ###### count Percentile 72 ###### 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": 57, "countPercentile": 71, "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 3.4516129032258065 ##### count 93 ##### university ###### size 935 ###### gpa Percentile 50 ###### count Percentile 67 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 55, "countPercentile": 55, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.4838709677419355 ##### count 93 ##### university ###### size 965 ###### gpa Percentile 49 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 29, "countPercentile": 57, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.0112359550561796 ##### count 89 ##### university ###### size 955 ###### gpa Percentile 11 ###### count Percentile 62 ###### 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 | 29 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 0, "countPercentile": 60, "medianCount": 52.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.6037735849056602 ##### count 53 ##### university ###### size 1010 ###### gpa Percentile 59 ###### count Percentile 37 ###### 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 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 67, "countPercentile": 47, "medianCount": 55, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.6597222222222223 ##### count 72 ##### university ###### size 1040 ###### gpa Percentile 62 ###### count Percentile 54 ###### 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 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 57, "countPercentile": 50, "medianCount": 72, "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": 8, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.903409090909091 ##### count 88 ##### university ###### size 1012 ###### gpa Percentile 75 ###### count Percentile 64 ###### median Count 65.5 ###### 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 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 86, "countPercentile": 57, "medianCount": 47, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.7738095238095237 ##### count 42 ##### university ###### size 1171 ###### gpa Percentile 66 ###### count Percentile 26 ###### 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": 73, "countPercentile": 23, "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 3.488372093023256 ##### count 43 ##### university ###### size 1216 ###### gpa Percentile 35 ###### count Percentile 27 ###### 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": 20, "countPercentile": 40, "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 3.5106382978723403 ##### count 47 ##### university ###### size 1295 ###### gpa Percentile 35 ###### count Percentile 33 ###### 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": 22, "countPercentile": 28, "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 3.736842105263158 ##### count 38 ##### university ###### size 1333 ###### gpa Percentile 57 ###### count Percentile 17 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 81, "countPercentile": 31, "medianCount": 91, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.7083333333333335 ##### count 36 ##### university ###### size 1320 ###### gpa Percentile 52 ###### count Percentile 13 ###### 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 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 73, "countPercentile": 7, "medianCount": 70, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4934 ###### gpa 3.657602743283697 ###### top Share 81.72058729219499 ###### count 155 ##### MARKETNG ###### size 43 ###### gpa 3.639911011848178 ###### top Share 82.83406979911423 ###### count 301 #### 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 ##### 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 ##### 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 ##### 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 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MARKETNG ###### size 15 ###### gpa 3.5174907493786463 ###### top Share 74.18675244844495 ###### count 68 ##### 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 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.5768810082574327 ###### top Share 76.89483938726171 ###### count 55 ##### 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": 856, "terms": [ { "term": "1094", "count": 94, "sections": 2, "gpa": 3.398936170212766 }, { "term": "1104", "count": 110, "sections": 2, "gpa": 3.4318181818181817 }, { "term": "1114", "count": 117, "sections": 2, "gpa": 3.47008547008547 }, { "term": "1124", "count": 95, "sections": 2, "gpa": 3.526315789473684 }, { "term": "1134", "count": 105, "sections": 2, "gpa": 3.4285714285714284 }, { "term": "1144", "count": 60, "sections": 1, "gpa": 3.475 }, { "term": "1154", "count": 93, "sections": 2, "gpa": 3.4516129032258065 }, { "term": "1164", "count": 93, "sections": 2, "gpa": 3.4838709677419355 }, { "term": "1204", "count": 47, "sections": 1, "gpa": 4 }, { "term": "1224", "count": 42, "sections": 2, "gpa": 3.7738095238095237 } ] }, { "uid": "instructor_cac75fe13d2cc95d439d5302", "name": "MARK RADEMACHER", "count": 209, "terms": [ { "term": "1072", "count": 36, "sections": 1, "gpa": 3.125 }, { "term": "1074", "count": 49, "sections": 1, "gpa": 3.2755102040816326 }, { "term": "1082", "count": 84, "sections": 2, "gpa": 3.3154761904761907 }, { "term": "1084", "count": 40, "sections": 1, "gpa": 3.425 } ] }, { "uid": "instructor_23e162237469a4cd81615959", "name": "MOSES ALTSECH", "count": 166, "terms": [ { "term": "1184", "count": 53, "sections": 2, "gpa": 3.6037735849056602 }, { "term": "1194", "count": 72, "sections": 2, "gpa": 3.6597222222222223 }, { "term": "1204", "count": 41, "sections": 1, "gpa": 3.792682926829268 } ] }, { "uid": "instructor_75eef1d7ac835277095e70c0", "name": "EVAN POLMAN", "count": 164, "terms": [ { "term": "1232", "count": 43, "sections": 2, "gpa": 3.488372093023256 }, { "term": "1242", "count": 47, "sections": 2, "gpa": 3.5106382978723403 }, { "term": "1252", "count": 38, "sections": 2, "gpa": 3.736842105263158 }, { "term": "1262", "count": 36, "sections": 2, "gpa": 3.7083333333333335 } ] }, { "uid": "instructor_3193e479f1b38145814108cc", "name": "DOAK GEIGER", "count": 89, "terms": [ { "term": "1174", "count": 89, "sections": 2, "gpa": 3.0112359550561796 } ] }, { "uid": "instructor_2b498ec3feaf62dc22abd310", "name": "KATHRYN KRUEGER", "count": 71, "terms": [ { "term": "1124", "count": 28, "sections": 1, "gpa": 3.8214285714285716 }, { "term": "1144", "count": 43, "sections": 1, "gpa": 3.5930232558139537 } ] }, { "uid": "instructor_f3df6c63106035945aacf5af", "name": "DEBORAH J MITCHELL", "count": 51, "terms": [ { "term": "1072", "count": 51, "sections": 1, "gpa": 3.9019607843137254 } ] }, { "uid": "instructor_37bb8b000cf0825bc1651fc5", "name": "WONSUK JUNG", "count": 47, "terms": [ { "term": "1242", "count": 47, "sections": 2, "gpa": 3.5106382978723403 } ] }, { "uid": "instructor_60c7e25452d75a950999dcb4", "name": "NITISHA TOMAR", "count": 43, "terms": [ { "term": "1232", "count": 43, "sections": 2, "gpa": 3.488372093023256 } ] }, { "uid": "instructor_1aa881766ffb5d39834dc692", "name": "SUYEON JUNG", "count": 38, "terms": [ { "term": "1252", "count": 38, "sections": 2, "gpa": 3.736842105263158 } ] }, { "uid": "instructor_98c5ccc1a24f299c84b43cd1", "name": "SILA AYOZ", "count": 36, "terms": [ { "term": "1262", "count": 36, "sections": 2, "gpa": 3.7083333333333335 } ] } ] ``` ## following None recorded.