# GENBUS 730: Prescriptive Modeling and Optimization for Business Analytics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENBUS_730) ## 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 d0c7a61f2bdd8d6b0db7214b63a9464ee4d0d14994a21af1ef4f0ca29c09f2b0 ### course id GENBUS 730 ### course uid course\_73ff49f48dd76cb6c56571ce ### catalog version id 5b8f459888ad0f2de773a834d3413fdd17f1dda8cbcbcd384c8498bff5a037a0 ### course number 730 ### subjects * GENBUS ### title PRESCRIPTIVE MODELING AND OPTIMIZATION FOR BUSINESS ANALYTICS ### description Introduction to fundamentals of prescriptive analytics with emphasis on business applications. Modeling and mathematical optimization using Excel and Python. Designing, building, testing, and analyzing models, including sensitivity and risk analysis. Developing and solving optimization models, including linear, integer, and nonlinear problems. Course includes some principles of model-building and fundamentals of optimization theory but emphasizes practical application, hands-on learning, and problem-driven exercises. ### requirements text Graduate/professional standing ### credits min 2 ### credits max 3 ### credit offering ids * 1272:231:025337 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 0f88fb644f28d223ecb9e886ca782a97f0042cecdc7dd328a555a9c4d6b57c5b ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to prescriptive analytics fundamentals, focusing on business applications through modeling and optimization using Excel and Python. ### llm topics * Prescriptive analytics * Mathematical optimization * Sensitivity and risk analysis * Linear, integer, and nonlinear optimization problems ### llm skills * Modeling and mathematical optimization using Excel and Python * Designing, building, testing, and analyzing models, including sensitivity and risk analysis * Developing and solving optimization models, including linear, integer, and nonlinear problems ### llm assumed background None recorded. ### llm search phrases * prescriptive analytics business * optimization modeling Excel Python * linear integer nonlinear optimization * sensitivity risk analysis models ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 117185671fef96401af4ae315125f2294c2202d933951a5353ba6fed0ef5ef2f #### course id GENBUS 730 #### current instructors ```json [ { "instructor_uid": "instructor_96fb8cd197dd6c8f63fd928c", "message": "No course-specific reviews available", "name": "KYUNGHEE SONG", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_5920a958496b2410a5d4e7ad", "message": "No course-specific reviews available", "name": "Yu Ma", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "section_number": 80, "source_course_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "section_number": 11, "source_course_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.85 GPA, 95.2% A/AB (n=146 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 — Fall 2023: 3.62 GPA, 83.0% A/AB (n=112 letter grades); Fall 2024: 3.81 GPA, 91.2% A/AB (n=148 letter grades); Fall 2025: 3.85 GPA, 95.2% A/AB (n=146 letter grades). ```json { "citations": [ { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history YU MA is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "section_number": 80, "source_course_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 730", "run_id": "20260907T155543-ce3781c4", "section_number": 11, "source_course_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "source_record": { "entity_id": "2188ec8b-152a-3748-8934-7a6b117a2747", "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": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------- | ----------------- | -------------------------------- | -------------------------------- | --------------------------- | | instructor\_96fb8cd197dd6c8f63fd928c | enrollment | ksong65 | netid | source\_identified | KYUNGHEE SONG | KSONG65\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/KYUNGHEE\_SONG | | instructor\_5920a958496b2410a5d4e7ad | enrollment | ma423 | netid | source\_identified | Yu Ma | YU.MA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/YU\_MA | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:231:025337", "course_id": "GENBUS 730", "course_uid": "course_73ff49f48dd76cb6c56571ce", "term_id": "1272", "source_course_id": "025337", "source_subject_id": "231", "title": "Prescriptive Modeling and Optimization for Business Analytics", "credits_min": 2, "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:1272:20533", "term_id": "1272", "source_section_id": "20533", "identity_basis": "class_number", "section_number": "010", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 31, "waitlisted": 0, "start_date": "2026-10-05 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:1272:22359", "term_id": "1272", "source_section_id": "22359", "identity_basis": "class_number", "section_number": "011", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 18, "waitlisted": 0, "start_date": "2026-10-05 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_0e00d3ad260a6ca0e8d4881a", "source": "madgrades", "source_instructor_id": "5110664", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JORDAN TONG", "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": 25, "quality": 3.76, "difficulty": 2.8, "quality_count": 25, "difficulty_count": 25, "profile_id": "rmp:1854371", "source_url": "https://www.ratemyprofessors.com/professor/1854371", "match_basis": "exact_name", "observed_at": "2026-09-07 16:30:32.120505+00:00", "courses": { "course_352dcdff23516bbede3f204e": { "review_count": 7, "quality": 4.14, "difficulty": 3.29, "quality_count": 7, "difficulty_count": 7 }, "course_aa7c4c79e460029847daaad2": { "review_count": 18, "quality": 3.61, "difficulty": 2.61, "quality_count": 18, "difficulty_count": 18 } }, "bayesian_quality": 3.715415903798487, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.283, "graded": 1789, "counts": [ 581, 436, 420, 187, 138, 20, 7 ], "sections": 35 }, "instructor_url": "/instructors/JORDAN_TONG--instructor_0e00d3ad260a6ca0e8d4881a" }, { "instructor_uid": "instructor_8dc56cb0394d098c6d52083f", "source": "madgrades", "source_instructor_id": "5572593", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YU MA", "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": 3.849, "graded": 146, "counts": [ 110, 29, 6, 1, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/YU_MA--instructor_8dc56cb0394d098c6d52083f" }, { "instructor_uid": "instructor_5920a958496b2410a5d4e7ad", "source": "enrollment", "source_instructor_id": "ma423", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yu Ma", "email": "YU.MA@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/YU_MA" }, { "instructor_uid": "instructor_96fb8cd197dd6c8f63fd928c", "source": "enrollment", "source_instructor_id": "ksong65", "identity_basis": "netid", "identity_status": "source_identified", "name": "KYUNGHEE SONG", "email": "KSONG65@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/KYUNGHEE_SONG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 730", "course_uid": "course_73ff49f48dd76cb6c56571ce", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Jordan Tong" ], "a": 10, "ab": 13, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "GENBUS 730" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 730", "course_uid": "course_73ff49f48dd76cb6c56571ce", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Jordan Tong" ], "a": 35, "ab": 11, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "GENBUS 730" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 730", "course_uid": "course_73ff49f48dd76cb6c56571ce", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Jordan Tong" ], "a": 53, "ab": 26, "b": 8, "bc": 0, "c": 1, "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": 89, "source_aliases": [ "GENBUS 730" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 730", "course_uid": "course_73ff49f48dd76cb6c56571ce", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Jordan Tong" ], "a": 78, "ab": 25, "b": 5, "bc": 0, "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": 109, "source_aliases": [ "GENBUS 730" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 730", "course_uid": "course_73ff49f48dd76cb6c56571ce", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Jordan Tong" ], "a": 49, "ab": 44, "b": 17, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 112, "source_aliases": [ "GENBUS 730" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 730", "course_uid": "course_73ff49f48dd76cb6c56571ce", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Jordan Tong" ], "a": 108, "ab": 27, "b": 11, "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": 148, "source_aliases": [ "GENBUS 730" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 730", "course_uid": "course_73ff49f48dd76cb6c56571ce", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Yu Ma" ], "a": 110, "ab": 29, "b": 6, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 146, "source_aliases": [ "GENBUS 730" ] } ] ``` ### statistics #### gpa 3.77 #### graded 679 #### counts * 443 * 175 * 53 * 4 * 3 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_73ff49f48dd76cb6c56571ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_73ff49f48dd76cb6c56571ce-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_73ff49f48dd76cb6c56571ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_73ff49f48dd76cb6c56571ce-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_73ff49f48dd76cb6c56571ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_73ff49f48dd76cb6c56571ce-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_73ff49f48dd76cb6c56571ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_73ff49f48dd76cb6c56571ce-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7695139911634756 #### count 679 #### university ##### size 3220 ##### gpa Percentile 52 ##### count Percentile 88 ##### median Count 131 ##### 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 | 7 | false | | 2.8–3.2 | 192 | false | | 3.2–3.6 | 812 | false | | 3.6–4.0 | 2209 | true | #### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 32, "gpaPercentile": 65, "countPercentile": 65, "medianCount": 207.5, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 24, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.66 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | GENBUS | | #### 1212 ##### term 1212 ##### gpa 3.735294117647059 ##### count 51 ##### university ###### size 1111 ###### gpa Percentile 60 ###### count Percentile 35 ###### 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": "GENBUS", "comparison": { "size": 15, "gpaPercentile": 71, "countPercentile": 21, "medianCount": 108, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.7386363636363638 ##### count 88 ##### university ###### size 1157 ###### gpa Percentile 63 ###### count Percentile 61 ###### 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": "GENBUS", "comparison": { "size": 14, "gpaPercentile": 62, "countPercentile": 0, "medianCount": 159, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.8211009174311927 ##### count 109 ##### university ###### size 1216 ###### gpa Percentile 72 ###### count Percentile 71 ###### 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": "GENBUS", "comparison": { "size": 14, "gpaPercentile": 85, "countPercentile": 8, "medianCount": 213.5, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.6205357142857144 ##### count 112 ##### university ###### size 1295 ###### gpa Percentile 46 ###### count Percentile 72 ###### 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": "GENBUS", "comparison": { "size": 17, "gpaPercentile": 44, "countPercentile": 31, "medianCount": 165, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.814189189189189 ##### count 148 ##### university ###### size 1333 ###### gpa Percentile 68 ###### count Percentile 80 ###### 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": "GENBUS", "comparison": { "size": 19, "gpaPercentile": 61, "countPercentile": 44, "medianCount": 158, "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": 12, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.8493150684931505 ##### count 146 ##### university ###### size 1320 ###### gpa Percentile 70 ###### 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 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 27, "gpaPercentile": 69, "countPercentile": 62, "medianCount": 98, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3220 ###### gpa 3.6887830382500986 ###### top Share 83.75346055650121 ###### count 131 ##### GENBUS ###### size 32 ###### gpa 3.6629976731109113 ###### top Share 83.23841123142594 ###### count 207.5 #### terms ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### GENBUS ###### size 12 ###### gpa 3.4700941628344775 ###### top Share 69.89874080712373 ###### count 142.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### GENBUS ###### size 15 ###### gpa 3.5535569622883747 ###### top Share 77.85717446541024 ###### count 108 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### GENBUS ###### size 14 ###### gpa 3.551946491046825 ###### top Share 74.99848684806021 ###### count 159 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### GENBUS ###### size 14 ###### gpa 3.514889967225248 ###### top Share 75.15171041645179 ###### count 213.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### GENBUS ###### size 17 ###### gpa 3.5660961080678772 ###### top Share 79.49715725336021 ###### count 165 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### GENBUS ###### size 19 ###### gpa 3.6363102953835043 ###### top Share 81.30939457403292 ###### count 158 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### GENBUS ###### size 27 ###### gpa 3.655019994289601 ###### top Share 82.47740840714685 ###### count 98 ## instructor Trends ```json [ { "uid": "instructor_0e00d3ad260a6ca0e8d4881a", "name": "JORDAN TONG", "count": 533, "terms": [ { "term": "1202", "count": 25, "sections": 1, "gpa": 3.66 }, { "term": "1212", "count": 51, "sections": 2, "gpa": 3.735294117647059 }, { "term": "1222", "count": 88, "sections": 3, "gpa": 3.7386363636363638 }, { "term": "1232", "count": 109, "sections": 2, "gpa": 3.8211009174311927 }, { "term": "1242", "count": 112, "sections": 2, "gpa": 3.6205357142857144 }, { "term": "1252", "count": 148, "sections": 3, "gpa": 3.814189189189189 } ] }, { "uid": "instructor_8dc56cb0394d098c6d52083f", "name": "YU MA", "count": 146, "terms": [ { "term": "1262", "count": 146, "sections": 3, "gpa": 3.8493150684931505 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.7796163735297434 ### grades | grade | percentage | | ----- | ------------------- | | A | 66.34592668699003 | | AB | 24.823120800795778 | | B | 7.687434828110103 | | BC | 0.6953358993809398 | | C | 0.44818178472314335 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 603 ### same Season true ### historical Range * 3.620535714285714 * 3.849315068493151 ### backtest #### terms 3 #### gpa Error 0.11527626024328841 #### mix Error 16.940641071091157