# MARKETNG 355: Marketing in a Digital Age | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_355) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 8fff792080042b99acea6e7a68b2b32021725078ba2c725ef7808ce6079a2932 ### course id MARKETNG 355 ### course uid course\_0d55acc7b16648e7f546056d ### catalog version id 20d121e5bfb5f7a67cc18c74e64ead83d8aa3b791a046132369b607d197b15db ### course number 355 ### subjects * MARKETNG ### title MARKETING IN A DIGITAL AGE ### description A foundational understanding of digital marketing channels and how successful marketing campaigns use the numerous online and mobile platforms. Fundamentals of digital marketing including internet marketing strategies, user-generated content, search engine optimization, website design and management, inbound marketing, email marketing, social media campaigns, mobile apps, content strategy and paid search advertising. ### requirements text MARKETNG 300or declared in the Business Exchange program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:237:024478 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 14f7fdc2201057af973ddb96ea26f2fb50dfbc9edbc8770fdaa500d2fe43b321 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MARKETING IN A DIGITAL AGE covers digital marketing channels, online strategies, and campaign management across mobile and internet platforms. ### llm topics * SEO, web design, inbound marketing, email, social media, mobile, content strategy, paid search ### llm skills * Digital marketing strategy and execution * Analysis of digital marketing channels ### llm assumed background * Foundations of marketing management and program planning ### llm search phrases * digital marketing fundamentals * online marketing strategies * SEO and social media campaigns * inbound marketing tactics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 7cd3ffbeb76fa7acf85d327baa7c52c51edb79bc360edb3f1de2ca9d7990c152 #### course id MARKETNG 355 #### current instructors ```json [ { "instructor_uid": "instructor_c2038f8e63c645c11ae7478d", "message": "No course-specific reviews available", "name": "Katie Krueger", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2255879", "summary": [] }, { "instructor_uid": "instructor_ace62644276ec10804a2c064", "message": "No course-specific reviews available", "name": "Milt Hwang", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3005982", "summary": [ { "citations": [ { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.37 GPA, 71.2% A/AB (n=73 letter grades); Spring 2025: 3.38 GPA, 70.0% A/AB (n=30 letter grades); Fall 2025: 3.69 GPA, 89.4% A/AB (n=47 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 3.51 GPA, 77.6% A/AB (n=152 letter grades); Fall 2025: 3.54 GPA, 77.2% A/AB (n=145 letter grades); Spring 2026: 3.53 GPA, 78.8% A/AB (n=99 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history MILT HWANG is recorded teaching in Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 355", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "source_record": { "entity_id": "d0bcec05-8874-357a-a79d-a2f3220e1dd7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MARKETNG 300or declared in the Business Exchange program", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "MARKETNG 300", "id": "n1", "kind": "course" }, { "children": [], "condition": "declared in the Business Exchange program", "course": null, "evidence": "declared in the Business Exchange program", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_c2038f8e63c645c11ae7478d", "source": "enrollment", "source_instructor_id": "kmkrueger1", "identity_basis": "netid", "identity_status": "source_identified", "name": "Katie Krueger", "email": "KATIE.KRUEGER@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": 7, "quality": 4.14, "difficulty": 1.86, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2255879", "source_url": "https://www.ratemyprofessors.com/professor/2255879", "match_basis": "exact_name", "observed_at": "2026-09-07 16:24:52.546657+00:00", "courses": {}, "bayesian_quality": 3.784211691515996, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/KATIE_KRUEGER" }, { "instructor_uid": "instructor_ace62644276ec10804a2c064", "source": "enrollment", "source_instructor_id": "mthwang3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Milt Hwang", "email": "MILTON.HWANG@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": 9, "quality": 4.22, "difficulty": 2.33, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:3005982", "source_url": "https://www.ratemyprofessors.com/professor/3005982", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:59.205062+00:00", "courses": { "course_93b34408c52c60993d510b24": { "review_count": 2, "quality": 4.5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.8335764024459276, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MILT_HWANG" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:024478", "course_id": "MARKETNG 355", "course_uid": "course_0d55acc7b16648e7f546056d", "term_id": "1272", "source_course_id": "024478", "source_subject_id": "237", "title": "Marketing in a Digital Age", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:17907", "term_id": "1272", "source_section_id": "17907", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Online (some classroom)", "capacity": 35, "enrolled": 35, "waitlisted": 2, "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:1272:17908", "term_id": "1272", "source_section_id": "17908", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Online (some classroom)", "capacity": 35, "enrolled": 35, "waitlisted": 5, "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:1272:27135", "term_id": "1272", "source_section_id": "27135", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 29, "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_2b498ec3feaf62dc22abd310", "source": "madgrades", "source_instructor_id": "644843", 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"instructor_url": "/instructors/ROHAN_JAIN" }, { "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_db1e4c10a97815328b64b7b4", "source": "madgrades", "source_instructor_id": "5406139", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL JUDGE", "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": 7, "quality": 4.57, "difficulty": 2.29, "quality_count": 7, "difficulty_count": 7, 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[ 454, 601, 207, 70, 53, 17, 15 ], "sections": 19 }, "instructor_url": "/instructors/MILT_HWANG--instructor_0a4a6c5bdb3c199d2e3e3660" }, { "instructor_uid": "instructor_c241409eb72ba3fe8cebdd3d", "source": "madgrades", "source_instructor_id": "5549552", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHNNY GOMEZ", "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": 3.848, "graded": 250, "counts": [ 192, 43, 12, 3, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/JOHNNY_GOMEZ" }, { "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": 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15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.497, "graded": 197, "counts": [ 67, 81, 36, 9, 3, 1, 0 ], "sections": 6 }, "instructor_url": "/instructors/KEENAN_VANDEN_HEUVEL--instructor_b0ac965864e99bf1ed516a97" }, { "instructor_uid": "instructor_ace62644276ec10804a2c064", "source": "enrollment", "source_instructor_id": "mthwang3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Milt Hwang", "email": "MILTON.HWANG@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": 9, "quality": 4.22, "difficulty": 2.33, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:3005982", "source_url": "https://www.ratemyprofessors.com/professor/3005982", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:59.205062+00:00", "courses": { "course_93b34408c52c60993d510b24": { "review_count": 2, "quality": 4.5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.8335764024459276, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MILT_HWANG" }, { "instructor_uid": "instructor_c2038f8e63c645c11ae7478d", "source": "enrollment", "source_instructor_id": "kmkrueger1", "identity_basis": "netid", "identity_status": "source_identified", "name": "Katie Krueger", "email": "KATIE.KRUEGER@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": 7, "quality": 4.14, "difficulty": 1.86, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2255879", "source_url": "https://www.ratemyprofessors.com/professor/2255879", "match_basis": "exact_name", "observed_at": "2026-09-07 16:24:52.546657+00:00", "courses": {}, "bayesian_quality": 3.784211691515996, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/KATIE_KRUEGER" } ] ``` ### grades 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"credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 197, "source_aliases": [ "MARKETNG 355" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 355", "course_uid": "course_0d55acc7b16648e7f546056d", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "JOHNNY GOMEZ", "KATHRYN KRUEGER", "MICHAEL JUDGE", "Milt Hwang" ], "a": 130, "ab": 81, "b": 15, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 229, "source_aliases": [ "MARKETNG 355" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 355", "course_uid": "course_0d55acc7b16648e7f546056d", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Alan Stoffer", "JOHNNY GOMEZ", "KATHRYN KRUEGER", "Milt Hwang" ], "a": 158, "ab": 54, "b": 12, "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": 230, "source_aliases": [ "MARKETNG 355" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 355", "course_uid": "course_0d55acc7b16648e7f546056d", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "JUNGEUN LIM", "KATHRYN KRUEGER", "Milt Hwang", "SILA AYOZ" ], "a": 104, "ab": 47, "b": 19, "bc": 8, "c": 4, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 184, "source_aliases": [ "MARKETNG 355" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 355", "course_uid": "course_0d55acc7b16648e7f546056d", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "KATHRYN KRUEGER", "Milt Hwang", "Seong Kyun Jung", "UBALDO CASTILLO" ], "a": 58, "ab": 60, "b": 27, "bc": 2, "c": 1, "d": 3, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 152, "source_aliases": [ "MARKETNG 355" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 355", "course_uid": "course_0d55acc7b16648e7f546056d", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "KATHRYN KRUEGER", "KEENAN VANDEN HEUVEL", "Milt Hwang" ], "a": 59, "ab": 53, "b": 24, "bc": 6, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 145, "source_aliases": [ "MARKETNG 355" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 355", "course_uid": "course_0d55acc7b16648e7f546056d", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "KATHRYN KRUEGER", "KEENAN VANDEN HEUVEL", "SILA AYOZ" ], "a": 32, "ab": 46, "b": 16, "bc": 4, "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": 99, "source_aliases": [ "MARKETNG 355" ] } ] ``` ### statistics #### gpa 3.763 #### graded 2816 #### counts * 1885 * 667 * 188 * 50 * 11 * 10 * 5 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0d55acc7b16648e7f546056d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0d55acc7b16648e7f546056d-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0d55acc7b16648e7f546056d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0d55acc7b16648e7f546056d-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_0d55acc7b16648e7f546056d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_0d55acc7b16648e7f546056d-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0d55acc7b16648e7f546056d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0d55acc7b16648e7f546056d-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.762606534090909 #### count 2816 #### university ##### size 5214 ##### gpa Percentile 51 ##### count Percentile 97 ##### median Count 168 ##### 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 | 272 | false | | 3.2–3.6 | 1316 | false | | 3.6–4.0 | 3617 | true | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 46, "gpaPercentile": 73, "countPercentile": 96, "medianCount": 322, "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": 19, "current": false }, { "range": "3.6–4.0", "count": 27, "current": true } ] } } ] ``` ### terms #### 1172 ##### term 1172 ##### gpa 3.7346938775510203 ##### count 98 ##### university ###### size 991 ###### gpa Percentile 72 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 80, "countPercentile": 60, "medianCount": 90, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.6519607843137254 ##### count 102 ##### university ###### size 955 ###### gpa Percentile 65 ###### count Percentile 68 ###### 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 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 67, "countPercentile": 67, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.82 ##### count 100 ##### university ###### size 1025 ###### gpa Percentile 81 ###### count Percentile 68 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 87, "countPercentile": 67, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.8595890410958904 ##### count 146 ##### university ###### size 1010 ###### gpa Percentile 83 ###### count Percentile 82 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 87, "countPercentile": 87, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.8489583333333335 ##### count 96 ##### university ###### size 1077 ###### gpa Percentile 81 ###### count Percentile 65 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 94, "countPercentile": 56, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.696551724137931 ##### count 145 ##### university ###### size 1040 ###### gpa Percentile 66 ###### count Percentile 82 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 71, "countPercentile": 79, "medianCount": 72, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.836734693877551 ##### count 98 ##### university ###### size 1102 ###### gpa Percentile 80 ###### count Percentile 66 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 87, "countPercentile": 67, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.9603174603174605 ##### count 126 ##### university ###### size 1012 ###### gpa Percentile 86 ###### count Percentile 77 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 93, "countPercentile": 86, "medianCount": 47, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.903225806451613 ##### count 155 ##### university ###### size 1111 ###### gpa Percentile 83 ###### count Percentile 82 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 80, "countPercentile": 80, "medianCount": 66.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.9324324324324325 ##### count 148 ##### university ###### size 1157 ###### gpa Percentile 89 ###### 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 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 18, "gpaPercentile": 94, "countPercentile": 88, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.734848484848485 ##### count 198 ##### university ###### size 1171 ###### gpa Percentile 61 ###### count Percentile 89 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 55, "countPercentile": 95, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.9088235294117646 ##### count 170 ##### university ###### size 1216 ###### gpa Percentile 83 ###### 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 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 21, "gpaPercentile": 85, "countPercentile": 95, "medianCount": 48, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.8223350253807107 ##### count 197 ##### university ###### size 1188 ###### gpa Percentile 71 ###### count Percentile 88 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 25, "gpaPercentile": 79, "countPercentile": 96, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.7434210526315788 ##### count 228 ##### university ###### size 1295 ###### gpa Percentile 60 ###### count Percentile 89 ###### 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 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 19, "gpaPercentile": 89, "countPercentile": 94, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.7891304347826087 ##### count 230 ##### university ###### size 1241 ###### gpa Percentile 67 ###### count Percentile 90 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 86, "countPercentile": 95, "medianCount": 57, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.6420765027322406 ##### count 183 ##### university ###### size 1333 ###### gpa Percentile 46 ###### count Percentile 84 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 56, "countPercentile": 88, "medianCount": 91, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.5065789473684212 ##### count 152 ##### university ###### size 1289 ###### gpa Percentile 33 ###### count Percentile 82 ###### 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": 63, "countPercentile": 88, "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 3.5413793103448277 ##### count 145 ##### university ###### size 1320 ###### gpa Percentile 34 ###### count Percentile 79 ###### 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": 47, "countPercentile": 73, "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 3.525252525252525 ##### count 99 ##### university ###### size 1283 ###### gpa Percentile 32 ###### 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 | 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": 60, "countPercentile": 67, "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 5214 ###### gpa 3.696659205827821 ###### top Share 84.09386529768354 ###### count 168 ##### MARKETNG ###### size 46 ###### gpa 3.641194172057254 ###### top Share 82.68012054499239 ###### count 322 #### terms ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MARKETNG ###### size 16 ###### gpa 3.548212826248202 ###### top Share 75.02449016789356 ###### count 90 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.5252212400674523 ###### top Share 72.03360675385316 ###### count 52.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.559382039481831 ###### top Share 77.43040910582185 ###### count 87.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.5768810082574327 ###### top Share 76.89483938726171 ###### count 55 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MARKETNG ###### size 17 ###### gpa 3.585828116482426 ###### top Share 79.21346179651735 ###### count 78 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MARKETNG ###### size 15 ###### gpa 3.5831559837896063 ###### top Share 78.75128949296631 ###### count 72 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.583175799054984 ###### top Share 78.80655416507517 ###### count 83.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MARKETNG ###### size 15 ###### gpa 3.711898594155838 ###### top Share 89.04767040292319 ###### count 47 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.70671270621466 ###### top Share 87.74126742620032 ###### count 66.5 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MARKETNG ###### size 18 ###### gpa 3.667859956376553 ###### top Share 86.14155685495416 ###### count 70.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MARKETNG ###### size 23 ###### gpa 3.640927073704417 ###### top Share 82.52296214470145 ###### count 58 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MARKETNG ###### size 21 ###### gpa 3.646486622913183 ###### top Share 83.14179199968991 ###### count 48 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MARKETNG ###### size 25 ###### gpa 3.6234775035319644 ###### top Share 80.59975420956242 ###### count 58 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MARKETNG ###### size 19 ###### gpa 3.5793238314410947 ###### top Share 81.75222641772163 ###### count 69 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MARKETNG ###### size 23 ###### gpa 3.5744699156490247 ###### top Share 78.42184566175688 ###### count 57 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MARKETNG ###### size 17 ###### gpa 3.547655677832614 ###### top Share 77.26599046949728 ###### count 91 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MARKETNG ###### size 17 ###### gpa 3.481456315169987 ###### top Share 71.32646556786042 ###### count 54 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MARKETNG ###### size 16 ###### gpa 3.550893499083995 ###### top Share 77.67608273860581 ###### count 70 ##### 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_2b498ec3feaf62dc22abd310", "name": "KATHRYN KRUEGER", "count": 2150, "terms": [ { "term": "1172", "count": 98, "sections": 2, "gpa": 3.7346938775510203 }, { "term": "1174", "count": 102, "sections": 2, "gpa": 3.6519607843137254 }, { "term": "1182", "count": 100, "sections": 2, "gpa": 3.82 }, { "term": "1184", "count": 146, "sections": 3, "gpa": 3.8595890410958904 }, { "term": "1192", "count": 96, "sections": 2, "gpa": 3.8489583333333335 }, { "term": "1194", "count": 145, "sections": 3, "gpa": 3.696551724137931 }, { "term": "1202", "count": 98, "sections": 2, "gpa": 3.836734693877551 }, { "term": "1204", "count": 126, "sections": 3, "gpa": 3.9603174603174605 }, { "term": "1212", "count": 128, "sections": 3, "gpa": 3.95703125 }, { "term": "1222", "count": 148, "sections": 3, "gpa": 3.9324324324324325 }, { "term": "1224", "count": 91, "sections": 3, "gpa": 3.9175824175824174 }, { "term": "1232", "count": 95, "sections": 2, "gpa": 3.9842105263157896 }, { "term": "1234", "count": 148, "sections": 3, "gpa": 3.864864864864865 }, { "term": "1242", "count": 83, "sections": 2, "gpa": 3.9036144578313254 }, { "term": "1244", "count": 132, "sections": 3, "gpa": 3.8863636363636362 }, { "term": "1252", "count": 110, "sections": 3, "gpa": 3.8227272727272728 }, { "term": "1254", "count": 122, "sections": 3, "gpa": 3.5368852459016393 }, { "term": "1262", "count": 98, "sections": 3, "gpa": 3.4693877551020407 }, { "term": "1264", "count": 84, "sections": 2, "gpa": 3.494047619047619 } ] }, { "uid": "instructor_0a4a6c5bdb3c199d2e3e3660", "name": "MILT HWANG", "count": 319, "terms": [ { "term": "1242", "count": 96, "sections": 2, "gpa": 3.6666666666666665 }, { "term": "1244", "count": 73, "sections": 2, "gpa": 3.6027397260273974 }, { "term": "1252", "count": 73, "sections": 2, "gpa": 3.3698630136986303 }, { "term": "1254", "count": 30, "sections": 1, "gpa": 3.3833333333333333 }, { "term": "1262", "count": 47, "sections": 2, "gpa": 3.6914893617021276 } ] }, { "uid": "instructor_0909d2b17994466f4710bb08", "name": "ROHAN JAIN", "count": 243, "terms": [ { "term": "1232", "count": 95, "sections": 2, "gpa": 3.9842105263157896 }, { "term": "1234", "count": 148, "sections": 3, "gpa": 3.864864864864865 } ] }, { "uid": "instructor_60c7e25452d75a950999dcb4", "name": "NITISHA TOMAR", "count": 224, "terms": [ { "term": "1222", "count": 148, "sections": 3, "gpa": 3.9324324324324325 }, { "term": "1224", "count": 27, "sections": 1, "gpa": 3.8518518518518516 }, { "term": "1234", "count": 49, "sections": 1, "gpa": 3.693877551020408 } ] }, { "uid": "instructor_c241409eb72ba3fe8cebdd3d", "name": "JOHNNY GOMEZ", "count": 215, "terms": [ { "term": "1242", "count": 83, "sections": 2, "gpa": 3.9036144578313254 }, { "term": "1244", "count": 132, "sections": 3, "gpa": 3.8863636363636362 } ] }, { "uid": "instructor_b0ac965864e99bf1ed516a97", "name": "KEENAN VANDEN HEUVEL", "count": 197, "terms": [ { "term": "1262", "count": 98, "sections": 3, "gpa": 3.4693877551020407 }, { "term": "1264", "count": 99, "sections": 3, "gpa": 3.525252525252525 } ] }, { "uid": "instructor_9bf394ff8b56153877e7f4f2", "name": "SRINIKETH VIJAYARAGHAVAN", "count": 128, "terms": [ { "term": "1212", "count": 128, "sections": 3, "gpa": 3.95703125 } ] }, { "uid": "instructor_db1e4c10a97815328b64b7b4", "name": "MICHAEL JUDGE", "count": 124, "terms": [ { "term": "1232", "count": 75, "sections": 2, "gpa": 3.8133333333333335 }, { "term": "1242", "count": 49, "sections": 1, "gpa": 3.622448979591837 } ] }, { "uid": "instructor_1aa881766ffb5d39834dc692", "name": "SUYEON JUNG", "count": 122, "terms": [ { "term": "1254", "count": 122, "sections": 3, "gpa": 3.5368852459016393 } ] }, { "uid": "instructor_1c241ab83c8bca8831d4c79a", "name": "JUNGEUN LIM", "count": 110, "terms": [ { "term": "1252", "count": 110, "sections": 3, "gpa": 3.8227272727272728 } ] }, { "uid": "instructor_98c5ccc1a24f299c84b43cd1", "name": "SILA AYOZ", "count": 88, "terms": [ { "term": "1252", "count": 73, "sections": 2, "gpa": 3.3698630136986303 }, { "term": "1264", "count": 15, "sections": 1, "gpa": 3.7 } ] }, { "uid": "instructor_0caeeed03e5c3526ea11da5e", "name": "XINGJIAN YOU", "count": 75, "terms": [ { "term": "1232", "count": 75, "sections": 2, "gpa": 3.8133333333333335 } ] }, { "uid": "instructor_4edb4100394c592c2344fff3", "name": "ALAN STOFFER", "count": 74, "terms": [ { "term": "1234", "count": 49, "sections": 1, "gpa": 3.693877551020408 }, { "term": "1244", "count": 25, "sections": 1, "gpa": 3.82 } ] }, { "uid": "instructor_d70c39e7e79b2864ae4964e2", "name": "JOHN NEVIN", "count": 57, "terms": [ { "term": "1224", "count": 57, "sections": 2, "gpa": 3.8596491228070176 } ] }, { "uid": "instructor_df96019cf7e084d215f1b7c7", "name": "KELLY BOUDREAU", "count": 50, "terms": [ { "term": "1224", "count": 50, "sections": 1, "gpa": 3.26 } ] }, { "uid": "instructor_4c471e3771231d839647b43c", "name": "UBALDO CASTILLO", "count": 30, "terms": [ { "term": "1254", "count": 30, "sections": 1, "gpa": 3.3833333333333333 } ] }, { "uid": "instructor_a7ee5bfb066c398d6631ed66", "name": "JIYEON HONG", "count": 30, "terms": [ { "term": "1224", "count": 30, "sections": 1, "gpa": 3.8666666666666667 } ] }, { "uid": "instructor_37bb8b000cf0825bc1651fc5", "name": "WONSUK JUNG", "count": 27, "terms": [ { "term": "1212", "count": 27, "sections": 1, "gpa": 3.6481481481481484 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.45 #### upper 3.96 #### coverage 80 #### terms 8 ### gpa 3.7074226432645103 ### grades | grade | percentage | | ----- | ------------------- | | A | 59.909210292364925 | | AB | 27.395796844963144 | | B | 8.901401525102335 | | BC | 2.5278970649112815 | | C | 0.9304926893767866 | | D | 0.33520158328151717 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 874 ### same Season true ### historical Range * 3.5413793103448277 * 3.9324324324324325 ### backtest #### terms 8 #### gpa Error 0.11367538876679212 #### mix Error 15.258202947704417