# MARKETNG 425: Route to Market Strategies | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_425) ## 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 8e21d90919f8bb29ffc531308e88891af6f51b89e07c63c58b57865f9d8be7ef ### course id MARKETNG 425 ### course uid course\_78889de3eb98c08bba2d1d40 ### catalog version id d866ebe9e08f496bb0d116242fa9cd39d8d2abe8c03614b519efcc60e6968759 ### course number 425 ### subjects * MARKETNG ### title ROUTE TO MARKET STRATEGIES ### description Explores the critical role of 'Place' within the marketing mix, focusing on how to effectively design, implement, and manage the marketing channels that make products and services available at the right place, time, and value proposition. Covers identifying customer needs, aligning them with the strengths of various market intermediaries, addressing conflicts associated with direct-to-consumer strategies, and understanding incentivization, power dynamics, and control. Delves into managing relationships, the role of brands, and the transition to an omnichannel environment. ### requirements text MARKETNG 300or declared in undergraduate Business Exchange program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:237:003168 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id d31f54ff480e7aef2fdbffe799000688c57323d34fd9779a7f8e2801d9f09fb7 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ROUTE TO MARKET STRATEGIES explores the 'Place' element of the marketing mix, focusing on designing and managing effective marketing channels. ### llm topics * Marketing channel availability and value proposition. * Direct-to-consumer strategies. * Channel relationships and brand roles. * Omnichannel environments. ### llm skills * Designing and managing marketing channels. * Aligning customer needs with intermediary strengths. * Addressing channel conflicts. * Understanding channel power and control dynamics. * Managing omnichannel transitions. ### llm assumed background * Foundational marketing management principles including the marketing mix and program planning. ### llm search phrases * marketing channel design * omnichannel strategy * distribution intermediaries * channel conflict management * place strategy marketing ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 8ee0f4a3ae4b24710e576398942bea68d64d1c38ece8370b4a5f34107cdb16b2 #### course id MARKETNG 425 #### current instructors ```json [ { "instructor_uid": "instructor_ba1ac6561f82c701a57731c8", "message": "No course-specific reviews available", "name": "Kelly Boudreau", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Spring 2023: 3.52 GPA, 76.3% A/AB (n=76 letter grades); Fall 2024: 3.37 GPA, 68.1% A/AB (n=91 letter grades); Fall 2025: 3.44 GPA, 78.3% A/AB (n=60 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: 3.53 GPA, 90.3% A/AB (n=72 letter grades); Fall 2024: 3.37 GPA, 68.1% A/AB (n=91 letter grades); Fall 2025: 3.44 GPA, 78.3% A/AB (n=60 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "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 KELLY BOUDREAU is recorded teaching in Spring 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 425", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "source_record": { "entity_id": "01bf06a5-890b-3ad3-8b4e-c200dce2489e", "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 * Typo '300or' in source text interpreted as '300 or'. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------------- | ----------------------- | -------------------------------- | -------------------------------- | ---------------------------- | | instructor\_ba1ac6561f82c701a57731c8 | enrollment | kboudreau2 | netid | source\_identified | Kelly Boudreau | KELLY.NEWBOLD\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/KELLY\_BOUDREAU | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:003168", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1272", "source_course_id": "003168", "source_subject_id": "237", "title": "Route to Market Strategies", "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:1272:27172", "term_id": "1272", "source_section_id": "27172", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 36, "enrolled": 35, "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:1272:31071", "term_id": "1272", "source_section_id": "31071", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 28, "enrolled": 28, "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_2cef544b4eba46e8d70314eb", "source": "madgrades", "source_instructor_id": "1511405", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KENNETH HENNING WATHNE", "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": 3.407, "graded": 81, "counts": [ 10, 46, 25, 0, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/KENNETH_HENNING_WATHNE" }, { "instructor_uid": "instructor_7c1dcdc715bd276f37a22d76", "source": "madgrades", "source_instructor_id": "3368732", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALOK KUMAR", "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": 3.416, "graded": 101, "counts": [ 18, 49, 33, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/ALOK_KUMAR" }, { "instructor_uid": "instructor_d1ec1bb5c4909968c4ebfd8f", "source": "madgrades", "source_instructor_id": "4185304", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KERSI D ANTIA", "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": 3.356, "graded": 667, "counts": [ 146, 271, 181, 54, 14, 0, 1 ], "sections": 26 }, "instructor_url": "/instructors/KERSI_D_ANTIA--instructor_d1ec1bb5c4909968c4ebfd8f" }, { "instructor_uid": "instructor_1c14eb578483794f10a274d8", "source": "madgrades", "source_instructor_id": "5277453", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAOLA MALLUCCI", "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": 10, "quality": 1.8, "difficulty": 4.1, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:1960416", "source_url": "https://www.ratemyprofessors.com/professor/1960416", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:50.497257+00:00", "courses": {}, "bayesian_quality": 3.039790522364397, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.341, "graded": 510, "counts": [ 87, 217, 177, 21, 6, 1, 1 ], "sections": 20 }, "instructor_url": "/instructors/PAOLA_MALLUCCI" }, { "instructor_uid": "instructor_04912086b8c09fdb4d26b027", "source": "madgrades", "source_instructor_id": "940866", "identity_basis": "source_id", "identity_status": "source_identified", "name": "VERDA BLYTHE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 26, "quality": 4.88, "difficulty": 2.58, "quality_count": 26, "difficulty_count": 26, "profile_id": "rmp:1523459", "source_url": "https://www.ratemyprofessors.com/professor/1523459", "match_basis": "exact_name", "observed_at": "2026-09-07 16:00:11.307850+00:00", "courses": { "course_fef39f7852f91cdeb0abc83a": { "review_count": 3, "quality": 4.67, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.349428601541998, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.703, "graded": 2485, "counts": [ 1561, 528, 307, 46, 34, 6, 3 ], "sections": 77 }, "instructor_url": "/instructors/VERDA_BLYTHE--instructor_04912086b8c09fdb4d26b027" }, { "instructor_uid": "instructor_a74a00f460f90f4ebbc7efbb", "source": "madgrades", "source_instructor_id": "5539047", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SRINIVAS TUNUGUNTLA", "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": 3.724, "graded": 134, "counts": [ 81, 33, 19, 1, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/SRINIVAS_TUNUGUNTLA--instructor_a74a00f460f90f4ebbc7efbb" }, { "instructor_uid": "instructor_cd52cadfcbdcb681ad0022ae", "source": "madgrades", "source_instructor_id": "6303349", "identity_basis": "source_id", "identity_status": "source_identified", "name": "THOMAS GEORGE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.783, "graded": 263, "counts": [ 189, 41, 28, 3, 2, 0, 0 ], "sections": 7 }, "instructor_url": "/instructors/THOMAS_GEORGE--instructor_cd52cadfcbdcb681ad0022ae" }, { "instructor_uid": "instructor_d39c0242d98688b322522931", "source": "madgrades", "source_instructor_id": "6177944", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YEPENG JIN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.542, "graded": 532, "counts": [ 220, 184, 93, 25, 9, 1, 0 ], "sections": 15 }, "instructor_url": "/instructors/YEPENG_JIN--instructor_d39c0242d98688b322522931" }, { "instructor_uid": "instructor_df96019cf7e084d215f1b7c7", "source": "madgrades", "source_instructor_id": "6447891", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KELLY BOUDREAU", "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": 3.422, "graded": 590, "counts": [ 208, 203, 112, 39, 17, 9, 2 ], "sections": 16 }, "instructor_url": "/instructors/KELLY_BOUDREAU--instructor_df96019cf7e084d215f1b7c7" }, { "instructor_uid": "instructor_60c7e25452d75a950999dcb4", "source": "madgrades", "source_instructor_id": "6228903", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NITISHA TOMAR", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.741, "graded": 459, "counts": [ 275, 142, 37, 2, 2, 0, 1 ], "sections": 15 }, "instructor_url": "/instructors/NITISHA_TOMAR" }, { "instructor_uid": "instructor_884127ec35611e5e27f58fee", "source": "madgrades", "source_instructor_id": "3121361", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TARUN KUSHWAHA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.659, "graded": 246, "counts": [ 97, 130, 19, 0, 0, 0, 0 ], "sections": 9 }, "instructor_url": "/instructors/TARUN_KUSHWAHA--instructor_884127ec35611e5e27f58fee" }, { "instructor_uid": "instructor_255fe5ea8bf582ed6ed99567", "source": "madgrades", "source_instructor_id": "6651485", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIVA GANESH GEDDADA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.509, "graded": 887, "counts": [ 412, 275, 107, 50, 21, 14, 8 ], "sections": 5 }, "instructor_url": "/instructors/SIVA_GANESH_GEDDADA--instructor_255fe5ea8bf582ed6ed99567" }, { "instructor_uid": "instructor_20c6ade525a903ffc3c550fb", "source": "madgrades", "source_instructor_id": "6615983", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WENDY JIANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.625, "graded": 224, "counts": [ 117, 71, 25, 3, 5, 3, 0 ], "sections": 10 }, "instructor_url": "/instructors/WENDY_JIANG" }, { "instructor_uid": "instructor_ba1ac6561f82c701a57731c8", "source": "enrollment", "source_instructor_id": "kboudreau2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Kelly Boudreau", "email": "KELLY.NEWBOLD@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/KELLY_BOUDREAU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "KENNETH HENNING WATHNE" ], "a": 10, "ab": 46, "b": 25, "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": 81, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "ALOK KUMAR" ], "a": 8, "ab": 22, "b": 21, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "KERSI D ANTIA" ], "a": 23, "ab": 31, "b": 25, "bc": 2, "c": 1, "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": 83, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "KERSI D ANTIA" ], "a": 9, "ab": 13, "b": 7, "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": 30, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "KERSI D ANTIA" ], "a": 16, "ab": 27, "b": 20, "bc": 15, "c": 3, "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": 82, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "KERSI D ANTIA" ], "a": 19, "ab": 40, "b": 34, "bc": 13, "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": 108, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "KERSI D ANTIA" ], "a": 18, "ab": 23, "b": 15, "bc": 10, "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": 68, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "KERSI D ANTIA" ], "a": 24, "ab": 36, "b": 37, "bc": 5, "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": 104, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "KERSI D ANTIA" ], "a": 15, "ab": 28, "b": 16, "bc": 6, "c": 4, "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": 69, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "PAOLA MALLUCCI" ], "a": 30, "ab": 36, "b": 53, "bc": 5, "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": 125, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "PAOLA MALLUCCI" ], "a": 14, "ab": 29, "b": 29, "bc": 8, "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": 83, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "PAOLA MALLUCCI" ], "a": 11, "ab": 27, "b": 24, "bc": 3, "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": 68, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "PAOLA MALLUCCI" ], "a": 13, "ab": 24, "b": 16, "bc": 1, "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": 55, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "PAOLA MALLUCCI" ], "a": 4, "ab": 28, "b": 14, "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": 47, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "PAOLA MALLUCCI" ], "a": 8, "ab": 43, "b": 13, "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": 67, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "PAOLA MALLUCCI" ], "a": 7, "ab": 30, "b": 28, "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": 67, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "SRINIVAS TUNUGUNTLA", "Verda Blythe" ], "a": 66, "ab": 3, "b": 4, "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": 74, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "THOMAS GEORGE", "Verda Blythe" ], "a": 81, "ab": 8, "b": 6, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 95, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Kelly Boudreau", "YEPENG JIN" ], "a": 33, "ab": 25, "b": 12, "bc": 2, "c": 3, "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": 76, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "NITISHA TOMAR", "Tarun Kushwaha" ], "a": 12, "ab": 53, "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": 72, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Kelly Boudreau", "Siva Ganesh Geddada" ], "a": 22, "ab": 40, "b": 22, "bc": 4, "c": 1, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 91, "source_aliases": [ "MARKETNG 425" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 425", "course_uid": "course_78889de3eb98c08bba2d1d40", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Kelly Boudreau", "WENDY JIANG" ], "a": 21, "ab": 26, "b": 6, "bc": 3, "c": 2, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "MARKETNG 425" ] } ] ``` ### statistics #### gpa 3.421 #### graded 1653 #### counts * 464 * 638 * 434 * 83 * 26 * 5 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_78889de3eb98c08bba2d1d40-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_78889de3eb98c08bba2d1d40-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_78889de3eb98c08bba2d1d40-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_78889de3eb98c08bba2d1d40-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_78889de3eb98c08bba2d1d40-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_78889de3eb98c08bba2d1d40-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_78889de3eb98c08bba2d1d40-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_78889de3eb98c08bba2d1d40-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4213551119177255 #### count 1653 #### university ##### size 4935 ##### gpa Percentile 21 ##### count Percentile 93 ##### median Count 169 ##### 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 | 378 | false | | 3.2–3.6 | 1436 | true | | 3.6–4.0 | 3106 | false | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 43, "gpaPercentile": 10, "countPercentile": 86, "medianCount": 291, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 20, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.4074074074074074 ##### count 81 ##### university ###### size 723 ###### gpa Percentile 58 ###### count Percentile 58 ###### 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": 9, "countPercentile": 45, "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 3.355769230769231 ##### count 52 ##### university ###### size 695 ###### gpa Percentile 52 ###### count Percentile 35 ###### 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": 27, "countPercentile": 64, "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 3.4036144578313254 ##### count 83 ##### university ###### size 723 ###### gpa Percentile 56 ###### 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": 42, "countPercentile": 58, "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 3.5344827586206895 ##### count 29 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | #### 1092 ##### term 1092 ##### gpa 3.234567901234568 ##### count 81 ##### university ###### size 732 ###### gpa Percentile 38 ###### count Percentile 57 ###### 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 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | true | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 0, "countPercentile": 64, "medianCount": 54, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.2824074074074074 ##### count 108 ##### university ###### size 793 ###### gpa Percentile 40 ###### 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": 9, "countPercentile": 64, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.3308823529411766 ##### count 68 ##### university ###### size 805 ###### gpa Percentile 46 ###### count Percentile 51 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 62, "medianCount": 51, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.360576923076923 ##### count 104 ##### university ###### size 821 ###### gpa Percentile 44 ###### count Percentile 71 ###### 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": 27, "countPercentile": 55, "medianCount": 101, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.318840579710145 ##### count 69 ##### university ###### size 851 ###### gpa Percentile 44 ###### count Percentile 51 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 14, "countPercentile": 50, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.3669354838709675 ##### count 124 ##### university ###### size 853 ###### gpa Percentile 48 ###### count Percentile 76 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 29, "countPercentile": 86, "medianCount": 50, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.246987951807229 ##### count 83 ##### university ###### size 918 ###### gpa Percentile 34 ###### count Percentile 60 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 7, "countPercentile": 43, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.2941176470588234 ##### count 68 ##### university ###### size 965 ###### gpa Percentile 34 ###### count Percentile 49 ###### 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": 7, "countPercentile": 43, "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 3.4272727272727272 ##### count 55 ##### university ###### size 955 ###### gpa Percentile 45 ###### count Percentile 38 ###### 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 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 40, "countPercentile": 53, "medianCount": 52.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.391304347826087 ##### count 46 ##### university ###### size 1025 ###### gpa Percentile 40 ###### count Percentile 28 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 20, "countPercentile": 27, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.3805970149253732 ##### count 67 ##### university ###### size 1077 ###### gpa Percentile 37 ###### count Percentile 50 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 25, "countPercentile": 38, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.3134328358208953 ##### count 67 ##### university ###### size 1102 ###### gpa Percentile 30 ###### count Percentile 49 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 7, "countPercentile": 33, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.9054054054054053 ##### count 74 ##### university ###### size 1111 ###### gpa Percentile 84 ###### count Percentile 52 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 87, "countPercentile": 53, "medianCount": 66.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.8947368421052633 ##### count 95 ##### university ###### size 1157 ###### gpa Percentile 83 ###### count Percentile 65 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 18, "gpaPercentile": 88, "countPercentile": 59, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.5197368421052633 ##### count 76 ##### university ###### size 1188 ###### gpa Percentile 38 ###### count Percentile 56 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 25, "gpaPercentile": 33, "countPercentile": 67, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.5347222222222223 ##### count 72 ##### university ###### size 1295 ###### gpa Percentile 37 ###### count Percentile 53 ###### 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": 33, "countPercentile": 56, "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 3.3736263736263736 ##### count 91 ##### university ###### size 1333 ###### gpa Percentile 20 ###### 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 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 13, "countPercentile": 50, "medianCount": 91, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.441666666666667 ##### count 60 ##### university ###### size 1320 ###### gpa Percentile 26 ###### count Percentile 41 ###### 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 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 20, "countPercentile": 33, "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": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4935 ###### gpa 3.652008425529483 ###### top Share 81.3545964429427 ###### count 169 ##### MARKETNG ###### size 43 ###### gpa 3.6227690022408514 ###### top Share 81.57636060139936 ###### count 291 #### 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 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MARKETNG ###### size 12 ###### gpa 3.6729280167649585 ###### top Share 84.84025244811484 ###### count 54 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MARKETNG ###### size 12 ###### gpa 3.4966703706493365 ###### top Share 67.49117518120711 ###### count 96 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MARKETNG ###### size 14 ###### gpa 3.4980091584163273 ###### top Share 70.18384110726859 ###### count 51 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MARKETNG ###### size 12 ###### gpa 3.538413850368297 ###### top Share 74.68267846802034 ###### count 101 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MARKETNG ###### size 15 ###### gpa 3.471737930146271 ###### top Share 70.31146098668106 ###### count 69 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MARKETNG ###### size 15 ###### gpa 3.4841465706309886 ###### top Share 70.26165466718561 ###### count 50 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MARKETNG ###### size 15 ###### gpa 3.477227982124518 ###### top Share 68.69085978208818 ###### count 87 ##### 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 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.559382039481831 ###### top Share 77.43040910582185 ###### count 87.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MARKETNG ###### size 17 ###### gpa 3.585828116482426 ###### top Share 79.21346179651735 ###### count 78 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.583175799054984 ###### top Share 78.80655416507517 ###### count 83.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.70671270621466 ###### top Share 87.74126742620032 ###### count 66.5 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MARKETNG ###### size 18 ###### gpa 3.667859956376553 ###### top Share 86.14155685495416 ###### count 70.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MARKETNG ###### size 25 ###### gpa 3.6234775035319644 ###### top Share 80.59975420956242 ###### count 58 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MARKETNG ###### size 19 ###### gpa 3.5793238314410947 ###### top Share 81.75222641772163 ###### count 69 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MARKETNG ###### size 17 ###### gpa 3.547655677832614 ###### top Share 77.26599046949728 ###### count 91 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MARKETNG ###### size 16 ###### gpa 3.550893499083995 ###### top Share 77.67608273860581 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_d1ec1bb5c4909968c4ebfd8f", "name": "KERSI D ANTIA", "count": 542, "terms": [ { "term": "1082", "count": 83, "sections": 2, "gpa": 3.4036144578313254 }, { "term": "1084", "count": 29, "sections": 1, "gpa": 3.5344827586206895 }, { "term": "1092", "count": 81, "sections": 2, "gpa": 3.234567901234568 }, { "term": "1104", "count": 108, "sections": 3, "gpa": 3.2824074074074074 }, { "term": "1112", "count": 68, "sections": 2, "gpa": 3.3308823529411766 }, { "term": "1124", "count": 104, "sections": 3, "gpa": 3.360576923076923 }, { "term": "1132", "count": 69, "sections": 2, "gpa": 3.318840579710145 } ] }, { "uid": "instructor_1c14eb578483794f10a274d8", "name": "PAOLA MALLUCCI", "count": 510, "terms": [ { "term": "1142", "count": 124, "sections": 3, "gpa": 3.3669354838709675 }, { "term": "1152", "count": 83, "sections": 3, "gpa": 3.246987951807229 }, { "term": "1164", "count": 68, "sections": 3, "gpa": 3.2941176470588234 }, { "term": "1174", "count": 55, "sections": 3, "gpa": 3.4272727272727272 }, { "term": "1182", "count": 46, "sections": 2, "gpa": 3.391304347826087 }, { "term": "1192", "count": 67, "sections": 2, "gpa": 3.3805970149253732 }, { "term": "1202", "count": 67, "sections": 2, "gpa": 3.3134328358208953 } ] }, { "uid": "instructor_df96019cf7e084d215f1b7c7", "name": "KELLY BOUDREAU", "count": 227, "terms": [ { "term": "1234", "count": 76, "sections": 2, "gpa": 3.5197368421052633 }, { "term": "1252", "count": 91, "sections": 2, "gpa": 3.3736263736263736 }, { "term": "1262", "count": 60, "sections": 2, "gpa": 3.441666666666667 } ] }, { "uid": "instructor_04912086b8c09fdb4d26b027", "name": "VERDA BLYTHE", "count": 169, "terms": [ { "term": "1212", "count": 74, "sections": 2, "gpa": 3.9054054054054053 }, { "term": "1222", "count": 95, "sections": 2, "gpa": 3.8947368421052633 } ] }, { "uid": "instructor_cd52cadfcbdcb681ad0022ae", "name": "THOMAS GEORGE", "count": 95, "terms": [ { "term": "1222", "count": 95, "sections": 2, "gpa": 3.8947368421052633 } ] }, { "uid": "instructor_255fe5ea8bf582ed6ed99567", "name": "SIVA GANESH GEDDADA", "count": 91, "terms": [ { "term": "1252", "count": 91, "sections": 2, "gpa": 3.3736263736263736 } ] }, { "uid": "instructor_2cef544b4eba46e8d70314eb", "name": "KENNETH HENNING WATHNE", "count": 81, "terms": [ { "term": "1072", "count": 81, "sections": 2, "gpa": 3.4074074074074074 } ] }, { "uid": "instructor_d39c0242d98688b322522931", "name": "YEPENG JIN", "count": 76, "terms": [ { "term": "1234", "count": 76, "sections": 2, "gpa": 3.5197368421052633 } ] }, { "uid": "instructor_a74a00f460f90f4ebbc7efbb", "name": "SRINIVAS TUNUGUNTLA", "count": 74, "terms": [ { "term": "1212", "count": 74, "sections": 2, "gpa": 3.9054054054054053 } ] }, { "uid": "instructor_60c7e25452d75a950999dcb4", "name": "NITISHA TOMAR", "count": 72, "terms": [ { "term": "1242", "count": 72, "sections": 2, "gpa": 3.5347222222222223 } ] }, { "uid": "instructor_884127ec35611e5e27f58fee", "name": "TARUN KUSHWAHA", "count": 72, "terms": [ { "term": "1242", "count": 72, "sections": 2, "gpa": 3.5347222222222223 } ] }, { "uid": "instructor_20c6ade525a903ffc3c550fb", "name": "WENDY JIANG", "count": 60, "terms": [ { "term": "1262", "count": 60, "sections": 2, "gpa": 3.441666666666667 } ] }, { "uid": "instructor_7c1dcdc715bd276f37a22d76", "name": "ALOK KUMAR", "count": 52, "terms": [ { "term": "1074", "count": 52, "sections": 1, "gpa": 3.355769230769231 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.16 #### upper 3.88 #### coverage 80 #### terms 8 ### gpa 3.5219834860934562 ### grades | grade | percentage | | ----- | ------------------ | | A | 36.809641886663705 | | AB | 44.01113094737399 | | B | 13.142468080422724 | | BC | 2.884987641085202 | | C | 1.4269831343002073 | | D | 1.4269831343002073 | | F | 0.2978051758539563 | ### source Terms * 1262 * 1252 * 1242 * 1222 ### source Count 318 ### same Season true ### historical Range * 3.3736263736263736 * 3.8947368421052633 ### backtest #### terms 8 #### gpa Error 0.15899978059812825 #### mix Error 26.776068861572377