# GENBUS 656: Foundations of Statistical Learning for Business Analytics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENBUS_656) ## 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 189ca66368234f9396b717ad4caa7a34412ee65472a4f43b87ac7bd3ab55550a ### course id GENBUS 656 ### course uid course\_874e30b1d4fa32884aa74250 ### catalog version id 15218206943dc85103e8014d09717fc5ee1818c7293ae302ec88792196e9e5cf ### course number 656 ### subjects * GENBUS ### title FOUNDATIONS OF STATISTICAL LEARNING FOR BUSINESS ANALYTICS ### description An introduction to predictive modeling for business applications beginning with some of the foundations. Leads to development of linear regression and classification models, and discussion of building models for prediction. Topics include selection, regularization, and the bias-variance tradeoff. ### requirements text GEN BUS 307,317704, 705, 881,ECON 400,410,STAT/​MATH  310,STAT 333,340, or declared in the Business Exchange program ### credits min 2 ### credits max 3 ### credit offering ids * 1272:231:025327 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 8f42c555a1b916d4226a5c5de489773aee150f0e186563733775902acd0eeac6 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary An introduction to predictive modeling for business applications, focusing on linear regression, classification, and model selection techniques. ### llm topics * Feature selection and regularization methods. * Building predictive models. * Linear regression and classification models. * The bias-variance tradeoff. ### llm skills * Developing linear regression and classification models for prediction. * Applying feature selection, regularization, and managing the bias-variance tradeoff. ### llm assumed background * Foundations in business analytics, statistical inference, regression, and hypothesis testing. * Programming with R, calculus-based statistics, and applied econometric methods. ### llm search phrases * predictive modeling business * linear regression classification * bias-variance tradeoff * statistical learning business analytics * GENBUS 656 prerequisites ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 01afedf2ebfa142b4c18588cc68a1fc3e6fa888d0280944d8e13bc3bf9f6cac6 #### course id GENBUS 656 #### current instructors ```json [ { "instructor_uid": "instructor_7ae8046db6b009671007abdc", "message": "No course-specific reviews available", "name": "Kyohei Okumura", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 11, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.40 GPA, 58.2% A/AB (n=67 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload Historical reviews of Peng Shi: Attending lectures and paying attention covers all exam questions, as the professor asks them throughout the sessions. ```json { "citations": [ { "instructor_name": "Peng Shi", "review_date": "2025-04-25 18:50:18 +0000 UTC", "review_id": "a6e5aa340d08ae62bd2da635", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1877077", "source_review_id": "UmF0aW5nLTQxMDQ3Mzg3", "source_url": "https://www.ratemyprofessors.com/professor/1877077", "type": "review" } ] } ``` #### errors None recorded. #### historical context Kyohei Okumura is the current instructor, but available reviews only cover historical instructor Peng Shi. Shi was praised as helpful, approachable, and an excellent lecturer who explains difficult material clearly. However, some students found his lectures occasionally boring. ```json { "citations": [ { "instructor_name": "Peng Shi", "review_date": "2023-05-18 03:36:47 +0000 UTC", "review_id": "2cecd9c0a6874638ddb19c30", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1877077", "source_review_id": "UmF0aW5nLTM3OTUwOTY1", "source_url": "https://www.ratemyprofessors.com/professor/1877077", "type": "review" }, { "instructor_name": "Peng Shi", "review_date": "2025-04-25 18:50:18 +0000 UTC", "review_id": "a6e5aa340d08ae62bd2da635", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1877077", "source_review_id": "UmF0aW5nLTQxMDQ3Mzg3", "source_url": "https://www.ratemyprofessors.com/professor/1877077", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Peng Shi describe him as a helpful, approachable lecturer who explains difficult material easily, though some find his lectures boring. ```json { "citations": [ { "instructor_name": "Peng Shi", "review_date": "2023-05-18 03:36:47 +0000 UTC", "review_id": "2cecd9c0a6874638ddb19c30", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1877077", "source_review_id": "UmF0aW5nLTM3OTUwOTY1", "source_url": "https://www.ratemyprofessors.com/professor/1877077", "type": "review" }, { "instructor_name": "Peng Shi", "review_date": "2025-04-25 18:50:18 +0000 UTC", "review_id": "a6e5aa340d08ae62bd2da635", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1877077", "source_review_id": "UmF0aW5nLTQxMDQ3Mzg3", "source_url": "https://www.ratemyprofessors.com/professor/1877077", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.53 GPA, 73.7% A/AB (n=38 letter grades); Fall 2025: 3.72 GPA, 80.5% A/AB (n=149 letter grades); Spring 2026: 3.60 GPA, 90.0% A/AB (n=30 letter grades). ```json { "citations": [ { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Peng Shi: R exercises mixed into lectures are useful for understanding the material, though the lecture style can be boring. ```json { "citations": [ { "instructor_name": "Peng Shi", "review_date": "2023-05-18 03:36:47 +0000 UTC", "review_id": "2cecd9c0a6874638ddb19c30", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1877077", "source_review_id": "UmF0aW5nLTM3OTUwOTY1", "source_url": "https://www.ratemyprofessors.com/professor/1877077", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history KYOHEI OKUMURA is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 11, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` PENG SHI is recorded teaching in Fall 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENBUS 656", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "source_record": { "entity_id": "d5a5cce9-e57a-38f2-816c-30d6878db375", "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", "n3", "n4", "n5", "n6", "n7", "n8", "n9", "n10" ], "condition": null, "course": null, "evidence": "GEN BUS 307,317704, 705, 881,ECON 400,410,STAT/MATH 310,STAT 333,340, or declared in the Business Exchange program", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 307, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 307", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 317, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "317", "id": "n2", "kind": "course" }, { "children": [], "condition": "704", "course": null, "evidence": "704", "id": "n3", "kind": "condition" }, { "children": [], "condition": "705", "course": null, "evidence": "705", "id": "n4", "kind": "condition" }, { "children": [], "condition": "881", "course": null, "evidence": "881", "id": "n5", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 400, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 400", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 410, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "410", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "STAT/MATH 310", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 333, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 333", "id": "n9", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "340", "id": "n10", "kind": "course" } ] ``` #### notes * Courses 704, 705, 881 are absent from linked\_courses. They are preserved as condition nodes with status needs\_review. #### root n0 #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------------- | ------------------------ | -------------------------------- | -------------------------------- | ---------------------------- | | instructor\_7ae8046db6b009671007abdc | enrollment | kokumura3 | netid | source\_identified | Kyohei Okumura | KYOHEI.OKUMURA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/KYOHEI\_OKUMURA | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:231:025327", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1272", "source_course_id": "025327", "source_subject_id": "231", "title": "Foundations of Statistical Learning 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:1272:31022", "term_id": "1272", "source_section_id": "31022", "identity_basis": "class_number", "section_number": "010", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 25, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-10-25 05:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31023", "term_id": "1272", "source_section_id": "31023", "identity_basis": "class_number", "section_number": "011", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 29, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-10-25 05:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_5279fe9261b366e17b45be0a", "source": "madgrades", "source_instructor_id": "6177124", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANIEL BAUER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2911802", "source_url": "https://www.ratemyprofessors.com/professor/2911802", "match_basis": "exact_name", "observed_at": "2026-09-07 16:46:19.000022+00:00", "courses": { "course_cf57ee176273b438b9f1adc9": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.675891222425329, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.521, "graded": 764, "counts": [ 355, 234, 106, 38, 16, 6, 9 ], "sections": 47 }, "instructor_url": "/instructors/DANIEL_BAUER--instructor_5279fe9261b366e17b45be0a" }, { "instructor_uid": "instructor_5217fc21c238a5fae9262ddf", "source": "madgrades", "source_instructor_id": "3800534", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PENG SHI", "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": 3, "quality": 4.33, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:1877077", "source_url": "https://www.ratemyprofessors.com/professor/1877077", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:10.449164+00:00", "courses": { "course_874e30b1d4fa32884aa74250": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_2df2f7477ed071a49c40488a": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7471180726492133, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.377, "graded": 999, "counts": [ 344, 322, 173, 115, 28, 8, 9 ], "sections": 56 }, "instructor_url": "/instructors/PENG_SHI--instructor_5217fc21c238a5fae9262ddf" }, { "instructor_uid": "instructor_9a2b920d2dab86057d5e892b", "source": "madgrades", "source_instructor_id": "5614748", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ENNO SIEMSEN", "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": 3.791, "graded": 588, "counts": [ 394, 145, 46, 3, 0, 0, 0 ], "sections": 17 }, "instructor_url": "/instructors/ENNO_SIEMSEN--instructor_9a2b920d2dab86057d5e892b" }, { "instructor_uid": "instructor_a30650566b5b8475000ffcd4", "source": "madgrades", "source_instructor_id": "6362812", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YOHEI NISHIMURA", "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": 3.607, "graded": 122, "counts": [ 58, 33, 30, 1, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/YOHEI_NISHIMURA--instructor_a30650566b5b8475000ffcd4" }, { "instructor_uid": "instructor_b30fcec0d05e81723b04f007", "source": "madgrades", "source_instructor_id": "6800347", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KYOHEI OKUMURA", "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": 3.403, "graded": 67, "counts": [ 15, 24, 28, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/KYOHEI_OKUMURA--instructor_b30fcec0d05e81723b04f007" }, { "instructor_uid": "instructor_b7aa031ee746dea34fec7430", "source": "madgrades", "source_instructor_id": "6447992", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CARRIE DENG", "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": 3.969, "graded": 162, "counts": [ 156, 3, 2, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/CARRIE_DENG--instructor_b7aa031ee746dea34fec7430" }, { "instructor_uid": "instructor_7ae8046db6b009671007abdc", "source": "enrollment", "source_instructor_id": "kokumura3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Kyohei Okumura", "email": "KYOHEI.OKUMURA@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/KYOHEI_OKUMURA" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Daniel Bauer" ], "a": 16, "ab": 9, "b": 11, "bc": 1, "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": 39, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Daniel Bauer", "Peng Shi" ], "a": 34, "ab": 17, "b": 9, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 65, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Daniel Bauer" ], "a": 57, "ab": 25, "b": 7, "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": 90, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Peng Shi" ], "a": 11, "ab": 12, "b": 5, "bc": 3, "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": 32, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Daniel Bauer" ], "a": 63, "ab": 45, "b": 10, "bc": 1, "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": 120, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Peng Shi" ], "a": 13, "ab": 14, "b": 4, "bc": 3, "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": 35, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Daniel Bauer" ], "a": 55, "ab": 71, "b": 4, "bc": 4, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 134, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Peng Shi" ], "a": 15, "ab": 18, "b": 3, "bc": 3, "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": 40, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Enno Siemsen" ], "a": 106, "ab": 26, "b": 11, "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": 1, "other": 0, "total": 145, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Peng Shi" ], "a": 14, "ab": 14, "b": 8, "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": 38, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "CARRIE DENG", "Kyohei Okumura", "YOHEI NISHIMURA" ], "a": 95, "ab": 25, "b": 28, "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": 149, "source_aliases": [ "GENBUS 656" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 656", "course_uid": "course_874e30b1d4fa32884aa74250", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Peng Shi" ], "a": 9, "ab": 18, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "GENBUS 656" ] } ] ``` ### statistics #### gpa 3.673 #### graded 913 #### counts * 488 * 294 * 103 * 22 * 4 * 0 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_874e30b1d4fa32884aa74250-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_874e30b1d4fa32884aa74250-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_874e30b1d4fa32884aa74250-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_874e30b1d4fa32884aa74250-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_874e30b1d4fa32884aa74250-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_874e30b1d4fa32884aa74250-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_874e30b1d4fa32884aa74250-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_874e30b1d4fa32884aa74250-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_874e30b1d4fa32884aa74250-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_874e30b1d4fa32884aa74250-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6725082146768893 #### count 913 #### university ##### size 4661 ##### gpa Percentile 38 ##### count Percentile 91 ##### 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 | 11 | false | | 2.8–3.2 | 249 | false | | 3.2–3.6 | 1121 | false | | 3.6–4.0 | 3280 | true | #### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 48, "gpaPercentile": 28, "countPercentile": 83, "medianCount": 384.5, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 39, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.5 ##### count 38 ##### university ###### size 1102 ###### gpa Percentile 45 ###### count Percentile 17 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 18, "medianCount": 142.5, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.6507936507936507 ##### count 63 ##### university ###### size 1111 ###### gpa Percentile 51 ###### count Percentile 45 ###### 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": 50, "countPercentile": 36, "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 3.738888888888889 ##### count 90 ##### university ###### size 1157 ###### gpa Percentile 63 ###### count Percentile 62 ###### 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": 69, "countPercentile": 15, "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 } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.453125 ##### count 32 ##### university ###### size 1171 ###### gpa Percentile 34 ###### count Percentile 7 ###### 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": "GENBUS", "comparison": { "size": 15, "gpaPercentile": 43, "countPercentile": 7, "medianCount": 82, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 1, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.683333333333333 ##### count 120 ##### university ###### size 1216 ###### gpa Percentile 55 ###### count Percentile 73 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 69, "countPercentile": 31, "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 } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.5 ##### count 35 ##### university ###### size 1188 ###### gpa Percentile 36 ###### count Percentile 11 ###### 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": "GENBUS", "comparison": { "size": 17, "gpaPercentile": 31, "countPercentile": 6, "medianCount": 103, "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": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.66044776119403 ##### count 134 ##### university ###### size 1295 ###### gpa Percentile 50 ###### count Percentile 78 ###### 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": 63, "countPercentile": 38, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.5375 ##### count 40 ##### university ###### size 1241 ###### gpa Percentile 37 ###### count Percentile 22 ###### 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": "GENBUS", "comparison": { "size": 19, "gpaPercentile": 44, "countPercentile": 6, "medianCount": 100, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.8229166666666665 ##### count 144 ##### university ###### size 1333 ###### gpa Percentile 69 ###### count Percentile 79 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 19, "gpaPercentile": 67, "countPercentile": 39, "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 } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.526315789473684 ##### count 38 ##### university ###### size 1289 ###### gpa Percentile 34 ###### count Percentile 17 ###### 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": "GENBUS", "comparison": { "size": 28, "gpaPercentile": 37, "countPercentile": 19, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.7181208053691277 ##### count 149 ##### university ###### size 1320 ###### gpa Percentile 53 ###### count Percentile 80 ###### 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": 46, "countPercentile": 65, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.6 ##### count 30 ##### university ###### size 1283 ###### gpa Percentile 39 ###### count Percentile 0 ###### 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 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 30, "gpaPercentile": 28, "countPercentile": 0, "medianCount": 79, "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": 22, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4661 ###### gpa 3.700464951450254 ###### top Share 84.3789579724209 ###### count 135 ##### GENBUS ###### size 48 ###### gpa 3.711386764298995 ###### top Share 85.06371655962387 ###### count 384.5 #### 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 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### GENBUS ###### size 15 ###### gpa 3.5090687835578316 ###### top Share 72.61861183684195 ###### count 82 ##### 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 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### GENBUS ###### size 17 ###### gpa 3.5936021095838138 ###### top Share 77.59651261160623 ###### count 103 ##### 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 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### GENBUS ###### size 19 ###### gpa 3.534713725247456 ###### top Share 74.84471631838613 ###### count 100 ##### 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 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### GENBUS ###### size 28 ###### gpa 3.642800867856554 ###### top Share 80.80715279553331 ###### count 83 ##### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### GENBUS ###### size 30 ###### gpa 3.6817668874579623 ###### top Share 83.39332566820664 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_5279fe9261b366e17b45be0a", "name": "DANIEL BAUER", "count": 422, "terms": [ { "term": "1202", "count": 38, "sections": 1, "gpa": 3.5 }, { "term": "1212", "count": 40, "sections": 2, "gpa": 3.7375 }, { "term": "1222", "count": 90, "sections": 3, "gpa": 3.738888888888889 }, { "term": "1232", "count": 120, "sections": 2, "gpa": 3.683333333333333 }, { "term": "1242", "count": 134, "sections": 3, "gpa": 3.66044776119403 } ] }, { "uid": "instructor_5217fc21c238a5fae9262ddf", "name": "PENG SHI", "count": 198, "terms": [ { "term": "1212", "count": 23, "sections": 1, "gpa": 3.5 }, { "term": "1224", "count": 32, "sections": 1, "gpa": 3.453125 }, { "term": "1234", "count": 35, "sections": 1, "gpa": 3.5 }, { "term": "1244", "count": 40, "sections": 1, "gpa": 3.5375 }, { "term": "1254", "count": 38, "sections": 1, "gpa": 3.526315789473684 }, { "term": "1264", "count": 30, "sections": 1, "gpa": 3.6 } ] }, { "uid": "instructor_9a2b920d2dab86057d5e892b", "name": "ENNO SIEMSEN", "count": 144, "terms": [ { "term": "1252", "count": 144, "sections": 3, "gpa": 3.8229166666666665 } ] }, { "uid": "instructor_b7aa031ee746dea34fec7430", "name": "CARRIE DENG", "count": 82, "terms": [ { "term": "1262", "count": 82, "sections": 1, "gpa": 3.975609756097561 } ] }, { "uid": "instructor_a30650566b5b8475000ffcd4", "name": "YOHEI NISHIMURA", "count": 67, "terms": [ { "term": "1262", "count": 67, "sections": 2, "gpa": 3.4029850746268657 } ] }, { "uid": "instructor_b30fcec0d05e81723b04f007", "name": "KYOHEI OKUMURA", "count": 67, "terms": [ { "term": "1262", "count": 67, "sections": 2, "gpa": 3.4029850746268657 } ] } ] ``` ## following | code | title | | ---------------- | -------------------------------------------------------------------------- | | ACTSCI 654 | REGRESSION AND TIME SERIES FOR ACTUARIES | | ACTSCI 655 | HEALTH ANALYTICS | | ACTSCI 657 | RISK ANALYTICS | | ECON/FINANCE 320 | INVESTMENT THEORY | | FINANCE 330 | DERIVATIVE SECURITIES | | FINANCE 340 | FIXED INCOME SECURITIES | | GENBUS 657 | MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE MODELS FOR BUSINESS ANALYTICS | | MARKETNG 779 | BAYESIAN MACHINE LEARNING FOR MARKETING | | STAT 441 | ADVANCED SPORTS ANALYTICS | ## projection ### target 1272 ### gpa 3.7293123100375403 ### grades | grade | percentage | | ----- | ------------------- | | A | 60.01227635661146 | | AB | 28.47191619269072 | | B | 10.193345319334368 | | BC | 1.0601531779550117 | | C | 0 | | D | 0 | | F | 0.26230895340842986 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 637 ### same Season true ### historical Range * 3.6604477611940296 * 3.822916666666667 ### backtest #### terms 3 #### gpa Error 0.056601923257424414 #### mix Error 21.560650591320687