# MARKETNG 310: Marketing Research | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_310) ## 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 a2624d508c54e8668b4bad4f64a2ef542e407a4501d01028623cc1bf861db95b ### course id MARKETNG 310 ### course uid course\_166b97080a270c6a634da53f ### catalog version id 23f38eeb8987fd443285252b5918b85e1e75e6b6bf87cb989250922c035052d9 ### course number 310 ### subjects * MARKETNG ### title MARKETING RESEARCH ### description Systematic and objective search for and analysis of information relevant to the identification and solution of problems in marketing. ### requirements text MARKETNG 300and (GEN BUS 206or306), or declared in the Business Exchange program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:237:003163 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 6847e90da42c72250ba278db94aa3c3e7b0598d47ca8d727925bdea44549cd9c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MARKETING RESEARCH teaches systematic and objective search and analysis of information to identify and solve marketing problems. ### llm topics * Information search and analysis for marketing problems ### llm skills * Systematic information search and analysis for marketing problem solving. ### llm assumed background * Prerequisites in marketing management and business analytics/statistics. ### llm search phrases * marketing research methods * market data analysis * business intelligence tools * consumer behavior research ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 4904858e6bfc888338d23d8f0eea893abe85687270dc4ba7677da313044198c7 #### course id MARKETNG 310 #### current instructors ```json [ { "instructor_uid": "instructor_394d3939d612ad5a2b4c7668", "message": null, "name": "Alyssa Gosbee Stang", "review_status": "supported", "rmp_instructor_id": "rmp:2096214", "summary": [ { "citations": [ { "instructor_name": "Alyssa Stang", "review_date": "2018-12-10 11:07:05 +0000 UTC", "review_id": "3670206378e54904f33bf232", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2096214", "source_review_id": "UmF0aW5nLTMwOTQxNzc2", "source_url": "https://www.ratemyprofessors.com/professor/2096214", "type": "review" }, { "instructor_name": "Alyssa Stang", "review_date": "2024-05-26 13:29:05 +0000 UTC", "review_id": "de71eec83e2b07526c7cc862", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2096214", "source_review_id": "UmF0aW5nLTM5NTIyOTY4", "source_url": "https://www.ratemyprofessors.com/professor/2096214", "type": "review" } ], "text": "Alyssa Gosbee Stang is criticized for boring lectures and incomprehensible grading. Reviewers report that exams cover material not taught in class, requiring self-study from slide decks." }, { "citations": [ { "instructor_name": "Alyssa Stang", "review_date": "2026-04-26 22:20:03 +0000 UTC", "review_id": "98b267049554920973f71435", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2096214", "source_review_id": "UmF0aW5nLTQyOTM3MzMx", "source_url": "https://www.ratemyprofessors.com/professor/2096214", "type": "review" } ], "text": "One review describes the class as fine but notes lectures are irrelevant to assignments. The course involves a significant group project workload, though the instructor's quality rating remains low." } ] }, { "instructor_uid": "instructor_37bde5fec2b5e3834e652d72", "message": "No course-specific reviews available", "name": "Ishita Chakraborty", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2799292", "summary": [ { "citations": [ { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.34 GPA, 54.3% A/AB (n=35 letter grades)." } ] }, { "instructor_uid": "instructor_269b2e83c390843e84a76444", "message": "No course-specific reviews available", "name": "Mary Kathryn Malone", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.78 GPA, 95.7% A/AB (n=46 letter grades); Fall 2025: 3.86 GPA, 95.3% A/AB (n=43 letter grades)." } ] } ] ``` #### difficulty workload The course involves a significant amount of work centered on a group project, requiring careful selection of group members. ```json { "citations": [ { "instructor_name": "Alyssa Stang", "review_date": "2026-04-26 22:20:03 +0000 UTC", "review_id": "98b267049554920973f71435", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2096214", "source_review_id": "UmF0aW5nLTQyOTM3MzMx", "source_url": "https://www.ratemyprofessors.com/professor/2096214", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Alyssa Stang receives poor reviews for boring lectures and incomprehensible grading, with students feeling they must self-teach from slide decks. ```json { "citations": [ { "instructor_name": "Alyssa Stang", "review_date": "2018-12-10 11:07:05 +0000 UTC", "review_id": "3670206378e54904f33bf232", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2096214", "source_review_id": "UmF0aW5nLTMwOTQxNzc2", "source_url": "https://www.ratemyprofessors.com/professor/2096214", "type": "review" }, { "instructor_name": "Alyssa Stang", "review_date": "2024-05-26 13:29:05 +0000 UTC", "review_id": "de71eec83e2b07526c7cc862", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2096214", "source_review_id": "UmF0aW5nLTM5NTIyOTY4", "source_url": "https://www.ratemyprofessors.com/professor/2096214", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.38 GPA, 57.7% A/AB (n=104 letter grades); Fall 2025: 3.49 GPA, 67.7% A/AB (n=155 letter grades); Spring 2026: 3.39 GPA, 60.7% A/AB (n=112 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students find lectures irrelevant to exams and assignments, with vague project instructions and limited instructor support for questions. ```json { "citations": [ { "instructor_name": "Alyssa Stang", "review_date": "2024-05-26 13:29:05 +0000 UTC", "review_id": "de71eec83e2b07526c7cc862", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2096214", "source_review_id": "UmF0aW5nLTM5NTIyOTY4", "source_url": "https://www.ratemyprofessors.com/professor/2096214", "type": "review" }, { "instructor_name": "Alyssa Stang", "review_date": "2026-04-26 22:20:03 +0000 UTC", "review_id": "98b267049554920973f71435", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2096214", "source_review_id": "UmF0aW5nLTQyOTM3MzMx", "source_url": "https://www.ratemyprofessors.com/professor/2096214", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ISHITA CHAKRABORTY is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` MARY KATHRYN MALONE is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "source_record": { "entity_id": "dd4b07b8-4e17-3671-a8cc-875a3a42c0f0", "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 300and (GEN BUS 206or306), or declared in the Business Exchange program", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "MARKETNG 300and (GEN BUS 206or306)", "id": "n1", "kind": "all" }, { "children": [], "condition": "declared in the Business Exchange program", "course": null, "evidence": "declared in the Business Exchange program", "id": "n2", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "MARKETNG 300", "id": "n3", "kind": "course" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "(GEN BUS 206or306)", "id": "n4", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 206, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 206", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 306, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "306", "id": "n6", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_394d3939d612ad5a2b4c7668", "source": "enrollment", "source_instructor_id": "gosbeestang", "identity_basis": "netid", "identity_status": "source_identified", "name": "Alyssa Gosbee Stang", "email": "GOSBEESTANG@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/ALYSSA_GOSBEE_STANG" }, { "instructor_uid": "instructor_37bde5fec2b5e3834e652d72", "source": "enrollment", "source_instructor_id": "ischakrabort", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ishita Chakraborty", "email": "ISHITA.CHAKRABORTY@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": 2, "quality": 1, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2799292", "source_url": "https://www.ratemyprofessors.com/professor/2799292", "match_basis": "exact_name", "observed_at": "2026-09-07 16:35:39.555498+00:00", "courses": {}, "bayesian_quality": 3.417896166860541, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ISHITA_CHAKRABORTY" }, { "instructor_uid": "instructor_269b2e83c390843e84a76444", "source": "enrollment", "source_instructor_id": "mkmalone", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mary Kathryn Malone", "email": "MARYKATHRYN.MALONE@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/MARY_KATHRYN_MALONE" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:003163", "course_id": "MARKETNG 310", "course_uid": "course_166b97080a270c6a634da53f", "term_id": "1272", "source_course_id": "003163", "source_subject_id": "237", "title": "Marketing Research", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10927", "term_id": "1272", "source_section_id": "10927", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 48, "waitlisted": 3, "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:1272:10952", "term_id": "1272", "source_section_id": "10952", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Online (some classroom)", "capacity": 48, "enrolled": 48, "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:1272:11069", "term_id": "1272", "source_section_id": "11069", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 32, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_68741c126b3c7fbeb29f38e8", "source": "madgrades", "source_instructor_id": "1639038", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID A. SCHWEIDEL", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.483, "graded": 790, "counts": [ 232, 324, 212, 19, 3, 0, 0 ], "sections": 26 }, "instructor_url": "/instructors/DAVID_A_SCHWEIDEL--instructor_68741c126b3c7fbeb29f38e8" }, { "instructor_uid": "instructor_1b0404464871fe2d8e0a076b", "source": "madgrades", "source_instructor_id": "788184", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARCIA KASIETA", "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": 6, "quality": 2.67, "difficulty": 3.17, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:216839", "source_url": "https://www.ratemyprofessors.com/professor/216839", "match_basis": "exact_name", "observed_at": "2026-09-07 16:21:17.165335+00:00", "courses": {}, 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15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.487, "graded": 1062, "counts": [ 351, 398, 266, 35, 10, 1, 1 ], "sections": 52 }, "instructor_url": "/instructors/YOU_CHAN_CHUNG" }, { "instructor_uid": "instructor_9928806b67ca78c8bd998cb4", "source": "madgrades", "source_instructor_id": "452028", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALYSSA GOSBEE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.339, "graded": 2192, "counts": [ 496, 787, 685, 173, 43, 6, 2 ], "sections": 58 }, "instructor_url": "/instructors/ALYSSA_GOSBEE" }, { "instructor_uid": "instructor_a40f67c0f49cf7927ac1a871", "source": "madgrades", "source_instructor_id": "5325764", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUSTY STOUGH", "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": 3.543, "graded": 70, "counts": [ 22, 36, 9, 2, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/RUSTY_STOUGH--instructor_a40f67c0f49cf7927ac1a871" }, { "instructor_uid": "instructor_8a9c0b88b1cca5058fb68997", "source": "madgrades", "source_instructor_id": "5701494", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KAIYANG WU", "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": 3.415, "graded": 147, "counts": [ 64, 25, 37, 11, 10, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/KAIYANG_WU" }, { "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_8a453cb0b6b28bc4169587e5", "source": "madgrades", "source_instructor_id": "5329849", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHI HUANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.534, "graded": 191, "counts": [ 75, 67, 38, 9, 2, 0, 0 ], "sections": 8 }, "instructor_url": "/instructors/ZHI_HUANG" }, { "instructor_uid": "instructor_1c241ab83c8bca8831d4c79a", "source": "madgrades", "source_instructor_id": "6372756", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUNGEUN LIM", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.692, "graded": 650, "counts": [ 341, 236, 60, 8, 5, 0, 0 ], "sections": 18 }, "instructor_url": "/instructors/JUNGEUN_LIM" }, { "instructor_uid": "instructor_d39c0242d98688b322522931", "source": "madgrades", "source_instructor_id": "6177944", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YEPENG JIN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.542, "graded": 532, "counts": [ 220, 184, 93, 25, 9, 1, 0 ], "sections": 15 }, "instructor_url": "/instructors/YEPENG_JIN--instructor_d39c0242d98688b322522931" }, { "instructor_uid": "instructor_8b9ff7e0cdb53f4f8ab7a85a", "source": "madgrades", "source_instructor_id": "4741847", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINGE XIA", "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": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2678742", "source_url": "https://www.ratemyprofessors.com/professor/2678742", "match_basis": "exact_name", "observed_at": "2026-09-07 16:23:07.876487+00:00", "courses": {}, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.654, "graded": 146, "counts": [ 68, 56, 21, 1, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/LINGE_XIA" }, { "instructor_uid": "instructor_9fbf564b455cf0ff69a92620", "source": "madgrades", "source_instructor_id": "6462880", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUYOUNG MOON", "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": 3.565, "graded": 362, "counts": [ 139, 153, 53, 12, 5, 0, 0 ], "sections": 11 }, "instructor_url": "/instructors/SUYOUNG_MOON" }, { "instructor_uid": "instructor_0856bc3c984bebf08bca792f", "source": "madgrades", "source_instructor_id": "4942836", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JONATHAN HENRICKS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.601, "graded": 79, "counts": [ 27, 42, 9, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/JONATHAN_HENRICKS" }, { "instructor_uid": "instructor_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_0caeeed03e5c3526ea11da5e", "source": "madgrades", "source_instructor_id": "6460808", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XINGJIAN YOU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.534, "graded": 525, "counts": [ 188, 211, 107, 16, 2, 0, 1 ], "sections": 16 }, "instructor_url": "/instructors/XINGJIAN_YOU" }, { "instructor_uid": "instructor_3bcf2b59e9966931531aba2a", "source": "madgrades", "source_instructor_id": "4838129", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MAIJA INVEISS", "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": 3.295, "graded": 212, "counts": [ 44, 71, 68, 24, 5, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/MAIJA_INVEISS" }, { "instructor_uid": "instructor_3de3f73d046aabc5a180f622", "source": "madgrades", "source_instructor_id": "6450144", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAURA CREESE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.814, "graded": 242, "counts": [ 182, 42, 8, 8, 2, 0, 0 ], "sections": 11 }, "instructor_url": "/instructors/LAURA_CREESE" }, { "instructor_uid": "instructor_9bf394ff8b56153877e7f4f2", "source": "madgrades", "source_instructor_id": "5300878", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SRINIKETH VIJAYARAGHAVAN", "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": 3.787, "graded": 321, "counts": [ 239, 43, 30, 6, 2, 0, 1 ], "sections": 10 }, "instructor_url": "/instructors/SRINIKETH_VIJAYARAGHAVAN--instructor_9bf394ff8b56153877e7f4f2" }, { "instructor_uid": "instructor_b04cf473754c861515226e58", "source": "madgrades", "source_instructor_id": "6487635", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DIVYA DIVYA", "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": 256, "counts": [ 63, 72, 85, 26, 10, 0, 0 ], "sections": 7 }, "instructor_url": "/instructors/DIVYA_DIVYA--instructor_b04cf473754c861515226e58" }, { "instructor_uid": "instructor_c2223f06709ea82195bd71e7", "source": "madgrades", "source_instructor_id": "3039276", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARY KATHRYN MALONE", "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": 3.693, "graded": 1337, "counts": [ 705, 485, 124, 13, 6, 3, 1 ], "sections": 32 }, "instructor_url": "/instructors/MARY_KATHRYN_MALONE--instructor_c2223f06709ea82195bd71e7" }, { "instructor_uid": "instructor_383c90f3d9f94fb144e163ea", "source": "madgrades", "source_instructor_id": "6582834", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINH VU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.578, "graded": 45, "counts": [ 22, 12, 8, 2, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/LINH_VU" }, { "instructor_uid": "instructor_4d537a6ea61fc9b8c4f4f60a", "source": "madgrades", "source_instructor_id": "5923784", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CAROL LIU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.769, "graded": 492, "counts": [ 294, 169, 29, 0, 0, 0, 0 ], "sections": 13 }, "instructor_url": "/instructors/CAROL_LIU--instructor_4d537a6ea61fc9b8c4f4f60a" }, { "instructor_uid": "instructor_9cc774a279db9d31756b88c6", "source": "madgrades", "source_instructor_id": "6666851", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANADI BADKUL", "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": 3.303, "graded": 185, "counts": [ 43, 57, 61, 21, 1, 2, 0 ], "sections": 6 }, "instructor_url": "/instructors/ANADI_BADKUL--instructor_9cc774a279db9d31756b88c6" }, { "instructor_uid": "instructor_e91b0243743e96b208325590", "source": "madgrades", "source_instructor_id": "6394821", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ISHITA CHAKRABORTY", "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": 2, "quality": 1, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2799292", "source_url": "https://www.ratemyprofessors.com/professor/2799292", "match_basis": "exact_name", "observed_at": "2026-09-07 16:35:39.555498+00:00", "courses": {}, "bayesian_quality": 3.417896166860541, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.677, "graded": 206, "counts": [ 118, 52, 30, 3, 3, 0, 0 ], "sections": 10 }, "instructor_url": "/instructors/ISHITA_CHAKRABORTY--instructor_e91b0243743e96b208325590" }, { "instructor_uid": "instructor_325ea560e52e979784118643", "source": "madgrades", "source_instructor_id": "6667209", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NAOMI BELL", "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": 3.418, "graded": 104, "counts": [ 24, 39, 41, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/NAOMI_BELL" }, { "instructor_uid": "instructor_269b2e83c390843e84a76444", "source": "enrollment", "source_instructor_id": "mkmalone", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mary Kathryn Malone", "email": "MARYKATHRYN.MALONE@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/MARY_KATHRYN_MALONE" }, { "instructor_uid": "instructor_37bde5fec2b5e3834e652d72", "source": "enrollment", "source_instructor_id": "ischakrabort", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ishita Chakraborty", "email": "ISHITA.CHAKRABORTY@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": 2, "quality": 1, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2799292", "source_url": "https://www.ratemyprofessors.com/professor/2799292", "match_basis": "exact_name", "observed_at": "2026-09-07 16:35:39.555498+00:00", "courses": {}, "bayesian_quality": 3.417896166860541, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ISHITA_CHAKRABORTY" }, { "instructor_uid": "instructor_394d3939d612ad5a2b4c7668", "source": "enrollment", "source_instructor_id": "gosbeestang", "identity_basis": "netid", "identity_status": "source_identified", "name": "Alyssa Gosbee Stang", "email": "GOSBEESTANG@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/ALYSSA_GOSBEE_STANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 310", "course_uid": "course_166b97080a270c6a634da53f", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "DAVID A. 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"observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 310", "course_uid": "course_166b97080a270c6a634da53f", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ALYSSA GOSBEE", "XINGJIAN YOU", "YEPENG JIN" ], "a": 36, "ab": 72, "b": 53, "bc": 4, "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": 165, "source_aliases": [ "MARKETNG 310" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 310", "course_uid": "course_166b97080a270c6a634da53f", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ALYSSA GOSBEE", "LAURA CREESE", "MAIJA INVEISS", "SRINIKETH VIJAYARAGHAVAN", "YOU CHAN CHUNG" ], "a": 46, "ab": 39, "b": 28, "bc": 15, "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": 132, "source_aliases": [ "MARKETNG 310" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 310", "course_uid": "course_166b97080a270c6a634da53f", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ALYSSA GOSBEE", "DIVYA DIVYA", "Mary Kathryn Malone" ], "a": 43, "ab": 48, "b": 36, "bc": 15, "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": 145, "source_aliases": [ "MARKETNG 310" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 310", "course_uid": "course_166b97080a270c6a634da53f", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ALYSSA GOSBEE", "CAROL LIU", "DIVYA DIVYA", "LINH VU", "YOU CHAN CHUNG" ], "a": 26, "ab": 34, "b": 38, "bc": 5, "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": 104, "source_aliases": [ "MARKETNG 310" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 310", "course_uid": "course_166b97080a270c6a634da53f", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ALYSSA GOSBEE", "ANADI BADKUL", "Ishita Chakraborty", "Mary Kathryn Malone" ], "a": 57, "ab": 48, "b": 42, "bc": 6, "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": 155, "source_aliases": [ "MARKETNG 310" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 310", "course_uid": "course_166b97080a270c6a634da53f", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "ALYSSA GOSBEE", "ANADI BADKUL", "NAOMI BELL", "YOU CHAN CHUNG" ], "a": 37, "ab": 31, "b": 32, "bc": 10, "c": 0, "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": 112, "source_aliases": [ "MARKETNG 310" ] } ] ``` ### statistics #### gpa 3.411 #### graded 4538 #### counts * 1265 * 1668 * 1238 * 297 * 59 * 7 * 4 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_166b97080a270c6a634da53f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_166b97080a270c6a634da53f-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_166b97080a270c6a634da53f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_166b97080a270c6a634da53f-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_166b97080a270c6a634da53f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_166b97080a270c6a634da53f-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_166b97080a270c6a634da53f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_166b97080a270c6a634da53f-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_166b97080a270c6a634da53f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_166b97080a270c6a634da53f-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4110841780520054 #### count 4538 #### university ##### size 5784 ##### gpa Percentile 18 ##### count Percentile 97 ##### median Count 240.5 ##### 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 | 12 | false | | 2.8–3.2 | 363 | false | | 3.2–3.6 | 1576 | true | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 48, "gpaPercentile": 11, "countPercentile": 96, "medianCount": 577.5, "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": 21, "current": true }, { "range": "3.6–4.0", "count": 27, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.494186046511628 ##### count 86 ##### university ###### size 723 ###### gpa Percentile 66 ###### count Percentile 62 ###### 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": 27, "countPercentile": 55, "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 3.4722222222222223 ##### count 90 ##### university ###### size 695 ###### gpa Percentile 61 ###### count Percentile 63 ###### 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": 64, "countPercentile": 82, "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 3.4302325581395348 ##### count 86 ##### university ###### size 723 ###### gpa Percentile 59 ###### count Percentile 61 ###### 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": 58, "countPercentile": 75, "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 3.4022988505747125 ##### count 87 ##### university ###### size 720 ###### gpa Percentile 54 ###### count Percentile 61 ###### 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": 27, "countPercentile": 55, "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 } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.4414893617021276 ##### count 94 ##### university ###### size 732 ###### gpa Percentile 57 ###### count Percentile 63 ###### 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": 18, "countPercentile": 73, "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 } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.4505494505494507 ##### count 91 ##### university ###### size 758 ###### gpa Percentile 55 ###### count Percentile 65 ###### 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": 45, "countPercentile": 64, "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 } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.3092783505154637 ##### count 97 ##### university ###### size 774 ###### gpa Percentile 44 ###### count Percentile 66 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 11, "gpaPercentile": 10, "countPercentile": 70, "medianCount": 41, "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": 5, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.3846153846153846 ##### count 91 ##### university ###### size 793 ###### gpa Percentile 49 ###### count Percentile 66 ###### 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": 18, "countPercentile": 45, "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 3.314159292035398 ##### count 113 ##### university ###### size 805 ###### gpa Percentile 44 ###### 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 | 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": 23, "countPercentile": 85, "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 } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.5625 ##### count 112 ##### university ###### size 804 ###### gpa Percentile 68 ###### count Percentile 72 ###### 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": 58, "countPercentile": 75, "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 } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.7268041237113403 ##### count 97 ##### university ###### size 804 ###### gpa Percentile 79 ###### count Percentile 67 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 14, "gpaPercentile": 77, "countPercentile": 69, "medianCount": 61.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.2142857142857144 ##### count 98 ##### university ###### size 821 ###### gpa Percentile 33 ###### count Percentile 69 ###### 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": 9, "countPercentile": 45, "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 3.49 ##### count 100 ##### university ###### size 851 ###### gpa Percentile 59 ###### count Percentile 69 ###### 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": 50, "countPercentile": 64, "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 } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.316666666666667 ##### count 90 ##### university ###### size 852 ###### gpa Percentile 41 ###### count Percentile 66 ###### 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": 27, "countPercentile": 55, "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 } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.232673267326733 ##### count 101 ##### university ###### size 853 ###### gpa Percentile 35 ###### count Percentile 70 ###### 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": 7, "countPercentile": 79, "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 } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.3010204081632653 ##### count 98 ##### university ###### size 878 ###### gpa Percentile 42 ###### count Percentile 69 ###### 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": 21, "countPercentile": 64, "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 } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.388059701492537 ##### count 134 ##### university ###### size 918 ###### gpa Percentile 49 ###### count Percentile 78 ###### 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": 29, "countPercentile": 79, "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 } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.39 ##### count 100 ##### university ###### size 935 ###### gpa Percentile 45 ###### count Percentile 71 ###### 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": 45, "countPercentile": 64, "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 } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.4609929078014185 ##### count 141 ##### university ###### size 954 ###### gpa Percentile 52 ###### count Percentile 80 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 40, "countPercentile": 73, "medianCount": 89.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.514705882352941 ##### count 102 ##### university ###### size 965 ###### gpa Percentile 52 ###### count Percentile 72 ###### 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": 64, "countPercentile": 64, "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 } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.488 ##### count 125 ##### university ###### size 991 ###### gpa Percentile 50 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 40, "countPercentile": 73, "medianCount": 90, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.347826086956522 ##### count 115 ##### university ###### size 955 ###### gpa Percentile 39 ###### count Percentile 74 ###### 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": 13, "countPercentile": 73, "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 3.3562091503267975 ##### count 153 ##### university ###### size 1025 ###### gpa Percentile 36 ###### count Percentile 83 ###### 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": 13, "countPercentile": 87, "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 } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.4361702127659575 ##### count 94 ##### university ###### size 1010 ###### gpa Percentile 43 ###### count Percentile 65 ###### 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 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 27, "countPercentile": 67, "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": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.3292682926829267 ##### count 164 ##### university ###### size 1077 ###### gpa Percentile 32 ###### count Percentile 84 ###### 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": 13, "countPercentile": 88, "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 } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.4402173913043477 ##### count 92 ##### university ###### size 1040 ###### gpa Percentile 42 ###### count Percentile 66 ###### 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 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 21, "countPercentile": 64, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.3825301204819276 ##### count 166 ##### university ###### size 1102 ###### gpa Percentile 35 ###### count Percentile 84 ###### 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": 13, "countPercentile": 93, "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 } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.532710280373832 ##### count 107 ##### university ###### size 1012 ###### gpa Percentile 23 ###### count Percentile 73 ###### 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 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 7, "countPercentile": 71, "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": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.457627118644068 ##### count 177 ##### university ###### size 1111 ###### gpa Percentile 32 ###### count Percentile 85 ###### 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 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 13, "countPercentile": 93, "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": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.4 ##### count 155 ##### university ###### size 1157 ###### gpa Percentile 30 ###### count Percentile 81 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 18, "gpaPercentile": 6, "countPercentile": 94, "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": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.48 ##### count 100 ##### university ###### size 1171 ###### gpa Percentile 37 ###### count Percentile 71 ###### 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 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 23, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.3601190476190474 ##### count 168 ##### university ###### size 1216 ###### gpa Percentile 26 ###### count Percentile 83 ###### 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": 10, "countPercentile": 90, "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 } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.292079207920792 ##### count 101 ##### university ###### size 1188 ###### gpa Percentile 21 ###### count Percentile 70 ###### 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": 4, "countPercentile": 83, "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 3.4242424242424243 ##### count 165 ##### university ###### size 1295 ###### gpa Percentile 29 ###### count Percentile 83 ###### 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": 11, "countPercentile": 89, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.409090909090909 ##### count 132 ##### university ###### size 1241 ###### gpa Percentile 26 ###### count Percentile 79 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 18, "countPercentile": 86, "medianCount": 57, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.389655172413793 ##### count 145 ##### university ###### size 1333 ###### gpa Percentile 21 ###### count Percentile 79 ###### 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": 19, "countPercentile": 75, "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 } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.3798076923076925 ##### count 104 ##### university ###### size 1289 ###### gpa Percentile 22 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 38, "countPercentile": 75, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.490322580645161 ##### count 155 ##### university ###### size 1320 ###### gpa Percentile 28 ###### count Percentile 81 ###### 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": 27, "countPercentile": 80, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.388392857142857 ##### count 112 ##### university ###### size 1283 ###### gpa Percentile 21 ###### count Percentile 73 ###### 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 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 80, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### MARKETNG ###### size 48 ###### gpa 3.6302934631557733 ###### top Share 81.47244519638907 ###### count 577.5 #### 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 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count 69 ###### MARKETNG ###### size 17 ###### gpa 3.547655677832614 ###### top Share 77.26599046949728 ###### count 91 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MARKETNG ###### size 17 ###### gpa 3.481456315169987 ###### top Share 71.32646556786042 ###### count 54 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MARKETNG ###### size 16 ###### gpa 3.550893499083995 ###### top Share 77.67608273860581 ###### count 70 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MARKETNG ###### size 16 ###### gpa 3.483591884557984 ###### top Share 73.98101796980842 ###### count 52.5 ## instructor Trends ```json [ { "uid": "instructor_9928806b67ca78c8bd998cb4", "name": "ALYSSA GOSBEE", "count": 1463, "terms": [ { "term": "1152", "count": 37, "sections": 1, 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"instructor_1aa881766ffb5d39834dc692", "name": "SUYEON JUNG", "count": 55, "terms": [ { "term": "1212", "count": 44, "sections": 1, "gpa": 3.4886363636363638 }, { "term": "1224", "count": 11, "sections": 1, "gpa": 3.3181818181818183 } ] }, { "uid": "instructor_5b6f2bf08f4fc8079a7d3762", "name": "VICTOR BARGER", "count": 49, "terms": [ { "term": "1092", "count": 49, "sections": 1, "gpa": 3.5816326530612246 } ] }, { "uid": "instructor_8a9c0b88b1cca5058fb68997", "name": "KAIYANG WU", "count": 43, "terms": [ { "term": "1202", "count": 43, "sections": 1, "gpa": 3.4069767441860463 } ] }, { "uid": "instructor_a40f67c0f49cf7927ac1a871", "name": "RUSTY STOUGH", "count": 42, "terms": [ { "term": "1172", "count": 42, "sections": 1, "gpa": 3.5357142857142856 } ] }, { "uid": "instructor_1c241ab83c8bca8831d4c79a", "name": "JUNGEUN LIM", "count": 41, "terms": [ { "term": "1222", "count": 41, "sections": 1, "gpa": 3.6219512195121952 } ] }, { "uid": "instructor_e91b0243743e96b208325590", "name": "ISHITA CHAKRABORTY", "count": 35, "terms": [ { "term": "1262", "count": 35, "sections": 1, "gpa": 3.342857142857143 } ] }, { "uid": "instructor_9bf394ff8b56153877e7f4f2", "name": "SRINIKETH VIJAYARAGHAVAN", "count": 30, "terms": [ { "term": "1244", "count": 30, "sections": 1, "gpa": 3.85 } ] }, { "uid": "instructor_0856bc3c984bebf08bca792f", "name": "JONATHAN HENRICKS", "count": 27, "terms": [ { "term": "1234", "count": 27, "sections": 1, "gpa": 3.5185185185185186 } ] }, { "uid": "instructor_325ea560e52e979784118643", "name": "NAOMI BELL", "count": 26, "terms": [ { "term": "1264", "count": 26, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_383c90f3d9f94fb144e163ea", "name": "LINH VU", "count": 19, "terms": [ { "term": "1254", "count": 19, "sections": 1, "gpa": 3.4473684210526314 } ] }, { "uid": "instructor_4d537a6ea61fc9b8c4f4f60a", "name": "CAROL LIU", "count": 18, "terms": [ { "term": "1254", "count": 18, "sections": 1, "gpa": 3.8055555555555554 } ] }, { "uid": "instructor_3de3f73d046aabc5a180f622", "name": "LAURA CREESE", "count": 10, "terms": [ { "term": "1244", "count": 10, "sections": 1, "gpa": 3.45 } ] } ] ``` ## following | code | title | | ------------ | ------------------- | | MARKETNG 450 | MARKETING ANALYTICS | | MARKETNG 460 | MARKETING STRATEGY | ## projection ### target 1272 ### interval #### lower 3.33 #### upper 3.52 #### coverage 80 #### terms 8 ### gpa 3.4229482456188416 ### grades | grade | percentage | | ----- | ------------------ | | A | 28.41376329912696 | | AB | 36.999016271749895 | | B | 26.82501635656524 | | BC | 6.287514398880405 | | C | 1.4746896736774961 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 788 ### same Season true ### historical Range * 3.360119047619048 * 3.490322580645161 ### backtest #### terms 8 #### gpa Error 0.04035870443692252 #### mix Error 7.817591943615171