# MARKETNG 410: Sports Marketing | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_410) ## 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 9f76269bd44fd20f109fb6accea56afea4824a7a1e4eb42cb6091b03c62aef06 ### course id MARKETNG 410 ### course uid course\_fb6a5ede0495a5a89797ebac ### catalog version id 9a19270a44967ccafe7fe26839bb13b9cdfe4358f8bbf95c70104a753e56ac8d ### course number 410 ### subjects * MARKETNG ### title SPORTS MARKETING ### description An overview of trends in sports marketing, the issues facing sport organizations, and the use of marketing techniques to solve problems. Includes a focus on the challenges faced by organizations that use sports properties to enhance their marketing efforts. Learn how to attract the customer in a competitive, fragmented and global market, and how sports marketers develop and apply strategies to meet their objectives. ### requirements text (MARKETNG 300orJOURN 150) or declared in the Business Exchange program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:237:025500 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id a1a8d36f67cb5d68aaed200178580819b8a6b3e2b98f7d3b541c8cf2d2536613 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary SPORTS MARKETING provides an overview of trends and issues in sports marketing, teaching techniques to solve organizational problems and attract customers in competitive markets. ### llm topics * Trends in sports marketing. * Issues facing sport organizations. * Challenges of using sports properties for marketing enhancement. * Characteristics of the competitive, fragmented, and global sports market. ### llm skills * Applying marketing techniques to solve organizational problems. * Developing and applying marketing strategies to meet business objectives. * Strategies for customer attraction in competitive and global markets. ### llm assumed background * Foundations of marketing management principles including product, pricing, and promotion strategies. * Introduction to sports communication, media intersection, and sports journalism concepts. ### llm search phrases * sports marketing strategies * sport organizations marketing challenges * attracting customers sports market * sports properties marketing efforts ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 46592b46aceadc43f56a84e1c2c74210f3f7c4fcf728bdd81b6c1c0ed3b3fdc9 #### course id MARKETNG 410 #### current instructors ```json [ { "instructor_uid": "instructor_e25dcd7f5579c70bcfc2ce00", "message": "No course-specific reviews available", "name": "Moses Altsech", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2214469", "summary": [ { "citations": [ { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.09 GPA, 51.1% A/AB (n=47 letter grades); Fall 2025: 2.93 GPA, 43.9% A/AB (n=41 letter grades); Spring 2026: 3.07 GPA, 47.8% A/AB (n=46 letter grades)." } ] } ] ``` #### 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: 3.09 GPA, 51.1% A/AB (n=47 letter grades); Fall 2025: 2.93 GPA, 43.9% A/AB (n=41 letter grades); Spring 2026: 3.07 GPA, 47.8% A/AB (n=46 letter grades). ```json { "citations": [ { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "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 MOSES ALTSECH is recorded teaching in Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MARKETNG 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "source_record": { "entity_id": "8763aebe-b60b-3775-9ea0-bc91a6f64222", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "(MARKETNG 300orJOURN 150) or 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": null, "course": { "course_number": 150, "minimum_grade": null, "subjects": [ "JOURN" ], "timing": "prior" }, "evidence": "JOURN 150", "id": "n2", "kind": "course" } ] ``` #### notes * Missing space in 'MARKETNG 300orJOURN 150' parsed as separate courses based on linked\_courses. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_e25dcd7f5579c70bcfc2ce00", "source": "enrollment", "source_instructor_id": "altsech", "identity_basis": "netid", "identity_status": "source_identified", "name": "Moses Altsech", "email": "ALTSECH@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": 35, "quality": 4.23, "difficulty": 3, "quality_count": 35, "difficulty_count": 35, "profile_id": "rmp:2214469", "source_url": "https://www.ratemyprofessors.com/professor/2214469", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:25.355442+00:00", "courses": {}, "bayesian_quality": 4.022613012198762, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MOSES_ALTSECH" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:025500", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1272", "source_course_id": "025500", "source_subject_id": "237", "title": "Sports Marketing", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21194", "term_id": "1272", "source_section_id": "21194", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 42, "enrolled": 40, "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_23e162237469a4cd81615959", "source": "madgrades", "source_instructor_id": "5704715", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MOSES ALTSECH", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 35, "quality": 4.23, "difficulty": 3, "quality_count": 35, "difficulty_count": 35, "profile_id": "rmp:2214469", "source_url": "https://www.ratemyprofessors.com/professor/2214469", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:25.355442+00:00", "courses": {}, "bayesian_quality": 4.022613012198762, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.412, "graded": 1563, "counts": [ 603, 478, 265, 119, 67, 22, 9 ], "sections": 44 }, "instructor_url": "/instructors/MOSES_ALTSECH--instructor_23e162237469a4cd81615959" }, { "instructor_uid": "instructor_383cdb742658f994d3ef104f", "source": "madgrades", "source_instructor_id": "6233847", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIAOBING XU", "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": 3.758, "graded": 161, "counts": [ 113, 28, 12, 6, 2, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/XIAOBING_XU--instructor_383cdb742658f994d3ef104f" }, { "instructor_uid": "instructor_f672a2d0bfd69d3f659bf1f3", "source": "madgrades", "source_instructor_id": "6303364", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DIVYANSHU GARG", "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": 3.595, "graded": 148, "counts": [ 60, 66, 15, 6, 0, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/DIVYANSHU_GARG--instructor_f672a2d0bfd69d3f659bf1f3" }, { "instructor_uid": "instructor_4275615c59ea6f53ca1979f7", "source": "madgrades", "source_instructor_id": "6316075", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BILAL USMAN", "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": 3.431, "graded": 159, "counts": [ 64, 44, 29, 13, 7, 2, 0 ], "sections": 4 }, "instructor_url": "/instructors/BILAL_USMAN" }, { "instructor_uid": "instructor_37bb8b000cf0825bc1651fc5", "source": "madgrades", "source_instructor_id": "5913125", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WONSUK JUNG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.616, "graded": 603, "counts": [ 317, 158, 98, 17, 10, 3, 0 ], "sections": 16 }, "instructor_url": "/instructors/WONSUK_JUNG" }, { "instructor_uid": "instructor_be140ae1cb024aed09d72396", "source": "madgrades", "source_instructor_id": "6034206", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TANISHKA JAIN", "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": 3.541, "graded": 508, "counts": [ 242, 127, 95, 33, 8, 3, 0 ], "sections": 16 }, "instructor_url": "/instructors/TANISHKA_JAIN--instructor_be140ae1cb024aed09d72396" }, { "instructor_uid": "instructor_e25dcd7f5579c70bcfc2ce00", "source": "enrollment", "source_instructor_id": "altsech", "identity_basis": "netid", "identity_status": "source_identified", "name": "Moses Altsech", "email": "ALTSECH@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": 35, "quality": 4.23, "difficulty": 3, "quality_count": 35, "difficulty_count": 35, "profile_id": "rmp:2214469", "source_url": "https://www.ratemyprofessors.com/professor/2214469", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:25.355442+00:00", "courses": {}, "bayesian_quality": 4.022613012198762, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MOSES_ALTSECH" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Moses Altsech" ], "a": 21, "ab": 13, "b": 1, "bc": 0, "c": 0, "d": 2, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Moses Altsech", "XIAOBING XU" ], "a": 21, "ab": 16, "b": 3, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "DIVYANSHU GARG", "Moses Altsech" ], "a": 20, "ab": 20, "b": 5, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "BILAL USMAN", "Moses Altsech" ], "a": 23, "ab": 33, "b": 23, "bc": 7, "c": 6, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 94, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Moses Altsech", "WONSUK JUNG" ], "a": 11, "ab": 14, "b": 12, "bc": 8, "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": 48, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Moses Altsech", "TANISHKA JAIN" ], "a": 22, "ab": 24, "b": 26, "bc": 10, "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": 83, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Moses Altsech" ], "a": 13, "ab": 12, "b": 10, "bc": 5, "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": 43, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Moses Altsech" ], "a": 21, "ab": 13, "b": 11, "bc": 10, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Moses Altsech" ], "a": 4, "ab": 6, "b": 11, "bc": 8, "c": 5, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Moses Altsech" ], "a": 9, "ab": 15, "b": 11, "bc": 5, "c": 5, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Moses Altsech" ], "a": 6, "ab": 12, "b": 10, "bc": 6, "c": 3, "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": 41, "source_aliases": [ "MARKETNG 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG 410", "course_uid": "course_fb6a5ede0495a5a89797ebac", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Moses Altsech" ], "a": 10, "ab": 12, "b": 13, "bc": 6, "c": 2, "d": 1, "f": 2, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "MARKETNG 410" ] } ] ``` ### statistics #### gpa 3.285 #### graded 622 #### counts * 181 * 190 * 136 * 70 * 30 * 11 * 4 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_fb6a5ede0495a5a89797ebac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_fb6a5ede0495a5a89797ebac-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_fb6a5ede0495a5a89797ebac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_fb6a5ede0495a5a89797ebac-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_fb6a5ede0495a5a89797ebac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_fb6a5ede0495a5a89797ebac-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_fb6a5ede0495a5a89797ebac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_fb6a5ede0495a5a89797ebac-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.284565916398714 #### count 622 #### university ##### size 4688 ##### gpa Percentile 8 ##### count Percentile 86 ##### median Count 135 ##### 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 | 10 | false | | 2.8–3.2 | 217 | false | | 3.2–3.6 | 1120 | true | | 3.6–4.0 | 3341 | false | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 45, "gpaPercentile": 2, "countPercentile": 80, "medianCount": 281, "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": 16, "current": true }, { "range": "3.6–4.0", "count": 29, "current": false } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.635135135135135 ##### count 37 ##### university ###### size 1012 ###### gpa Percentile 37 ###### count Percentile 16 ###### 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": 43, "countPercentile": 7, "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 3.6666666666666665 ##### count 42 ##### university ###### size 1111 ###### gpa Percentile 53 ###### count Percentile 23 ###### 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": 40, "countPercentile": 20, "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 3.59375 ##### count 48 ##### university ###### size 1157 ###### gpa Percentile 46 ###### count Percentile 34 ###### 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": 41, "countPercentile": 29, "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 3.3010752688172045 ##### count 93 ##### university ###### size 1171 ###### gpa Percentile 23 ###### count Percentile 66 ###### 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": 9, "countPercentile": 77, "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 3.2291666666666665 ##### count 48 ##### university ###### size 1216 ###### gpa Percentile 17 ###### count Percentile 34 ###### 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": 5, "countPercentile": 50, "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 3.3373493975903616 ##### count 83 ##### university ###### size 1188 ###### gpa Percentile 24 ###### count Percentile 60 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 13, "countPercentile": 75, "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 3.313953488372093 ##### count 43 ##### university ###### size 1295 ###### gpa Percentile 20 ###### count Percentile 28 ###### 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": 6, "countPercentile": 17, "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 3.3596491228070176 ##### count 57 ##### university ###### size 1241 ###### gpa Percentile 23 ###### count Percentile 42 ###### 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": 9, "countPercentile": 50, "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 2.7837837837837838 ##### count 37 ##### university ###### size 1333 ###### gpa Percentile 1 ###### count Percentile 15 ###### 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 | true | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 0, "countPercentile": 19, "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": true }, { "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": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.0851063829787235 ##### count 47 ##### university ###### size 1289 ###### gpa Percentile 7 ###### count Percentile 31 ###### 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 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 17, "gpaPercentile": 0, "countPercentile": 31, "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": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 2.926829268292683 ##### count 41 ##### university ###### size 1320 ###### gpa Percentile 2 ###### count Percentile 23 ###### 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 | true | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 0, "countPercentile": 27, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.0652173913043477 ##### count 46 ##### university ###### size 1283 ###### gpa Percentile 7 ###### count Percentile 30 ###### 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 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 0, "countPercentile": 20, "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": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4688 ###### gpa 3.708883794386634 ###### top Share 84.87993958326464 ###### count 135 ##### MARKETNG ###### size 45 ###### gpa 3.6539520777629844 ###### top Share 84.05031782068893 ###### count 281 #### terms ##### 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_23e162237469a4cd81615959", "name": "MOSES ALTSECH", "count": 622, "terms": [ { "term": "1204", "count": 37, "sections": 1, "gpa": 3.635135135135135 }, { "term": "1212", "count": 42, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1222", "count": 48, "sections": 1, "gpa": 3.59375 }, { "term": "1224", "count": 93, "sections": 2, "gpa": 3.3010752688172045 }, { "term": "1232", "count": 48, "sections": 1, "gpa": 3.2291666666666665 }, { "term": "1234", "count": 83, "sections": 2, "gpa": 3.3373493975903616 }, { "term": "1242", "count": 43, "sections": 1, "gpa": 3.313953488372093 }, { "term": "1244", "count": 57, "sections": 2, "gpa": 3.3596491228070176 }, { "term": "1252", "count": 37, "sections": 1, "gpa": 2.7837837837837838 }, { "term": "1254", "count": 47, "sections": 2, "gpa": 3.0851063829787235 }, { "term": "1262", "count": 41, "sections": 1, "gpa": 2.926829268292683 }, { "term": "1264", "count": 46, "sections": 2, "gpa": 3.0652173913043477 } ] }, { "uid": "instructor_4275615c59ea6f53ca1979f7", "name": "BILAL USMAN", "count": 93, "terms": [ { "term": "1224", "count": 93, "sections": 2, "gpa": 3.3010752688172045 } ] }, { "uid": "instructor_be140ae1cb024aed09d72396", "name": "TANISHKA JAIN", "count": 83, "terms": [ { "term": "1234", "count": 83, "sections": 2, "gpa": 3.3373493975903616 } ] }, { "uid": "instructor_37bb8b000cf0825bc1651fc5", "name": "WONSUK JUNG", "count": 48, "terms": [ { "term": "1232", "count": 48, "sections": 1, "gpa": 3.2291666666666665 } ] }, { "uid": "instructor_f672a2d0bfd69d3f659bf1f3", "name": "DIVYANSHU GARG", "count": 48, "terms": [ { "term": "1222", "count": 48, "sections": 1, "gpa": 3.59375 } ] }, { "uid": "instructor_383cdb742658f994d3ef104f", "name": "XIAOBING XU", "count": 42, "terms": [ { "term": "1212", "count": 42, "sections": 1, "gpa": 3.6666666666666665 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.0938005298700566 ### grades | grade | percentage | | ----- | ------------------ | | A | 21.249295632857685 | | AB | 27.39818264284236 | | B | 23.835202071371377 | | BC | 15.012683673610875 | | C | 7.672834442114556 | | D | 4.106246923256244 | | F | 0.7255546139469009 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 217 ### same Season true ### historical Range * 2.7837837837837838 * 3.59375