# GENBUS 107: Introduction to Artificial Intelligence in Business | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENBUS_107) ## 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 a8c2e5933f8c4019ae49c2df4db0cd9aabdb7e61ee1ade4f4d2af0d48d7ca96e ### course id GENBUS 107 ### course uid course\_cc7645901d20b6a2881474b1 ### catalog version id b05355e5d5b9dbad3cff9e9b39a11f2883b9ec2860f1f85b35134b3a7b5dc0b9 ### course number 107 ### subjects * GENBUS ### title INTRODUCTION TO ARTIFICIAL INTELLIGENCE IN BUSINESS ### description Introduction to the foundational concepts and applications of Artificial Intelligence (AI) in today's business world. Covers what AI is, how it works, and its growing impact on various business contexts. Topics include predictive AI, deep learning, generative AI, leveraging AI tools, and responsible AI. ### requirements text None ### credits min 1 ### credits max 1 ### credit offering ids * 1272:231:027163 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 95edb05bf7002f8cbb1dc3bbd7a55200176cf72c72f61fb9031fe8ec3287f441 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to foundational AI concepts, applications, and responsible practices in business contexts. ### llm topics * Predictive AI * Deep learning * Generative AI ### llm skills * Leveraging AI tools * Understanding responsible AI ### llm assumed background None recorded. ### llm search phrases * AI in business * generative AI tools * predictive AI applications * responsible AI ethics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 2e384c1989858662ab09a90570ff63a51655580056dc2a46bebb7d9909a21f4e #### course id GENBUS 107 #### current instructors ```json [ { "instructor_uid": "instructor_25ccc3f97bc8a6bf640e5e22", "message": "No course-specific reviews available", "name": "Katie Gaertner", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "GENBUS 107", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7241f1a9-9d35-3f60-9db5-51279681bffe", "source_record": { "entity_id": "7241f1a9-9d35-3f60-9db5-51279681bffe", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2026: 3.76 GPA, 87.8% A/AB (n=41 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 2026: 3.76 GPA, 87.8% A/AB (n=41 letter grades). ```json { "citations": [ { "course_id": "GENBUS 107", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7241f1a9-9d35-3f60-9db5-51279681bffe", "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 KATIE GAERTNER is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENBUS 107", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7241f1a9-9d35-3f60-9db5-51279681bffe", "source_record": { "entity_id": "7241f1a9-9d35-3f60-9db5-51279681bffe", "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": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### 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\_25ccc3f97bc8a6bf640e5e22 | enrollment | gaertner2 | netid | source\_identified | Katie Gaertner | KATIE.GAERTNER\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/KATIE\_GAERTNER | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:231:027163", "course_id": "GENBUS 107", "course_uid": "course_cc7645901d20b6a2881474b1", "term_id": "1272", "source_course_id": "027163", "source_subject_id": "231", "title": " Introduction to Artificial Intelligence in Business", "credits_min": 1, "credits_max": 1, "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:1272:34954", "term_id": "1272", "source_section_id": "34954", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 250, "enrolled": 249, "waitlisted": 19, "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:1272:34955", "term_id": "1272", "source_section_id": "34955", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 250, "enrolled": 250, "waitlisted": 5, "start_date": "2026-10-26 05:00:00+00:00", "end_date": "2026-12-20 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:37701", "term_id": "1272", "source_section_id": "37701", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 50, "enrolled": 50, "waitlisted": 4, "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:1272:37702", "term_id": "1272", "source_section_id": "37702", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 50, "enrolled": 50, "waitlisted": 10, "start_date": "2026-10-26 05:00:00+00:00", "end_date": "2026-12-20 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_dc3304457085d3bfbb7f5017", "source": "madgrades", "source_instructor_id": "6587437", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KATIE GAERTNER", "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": 3.824, "graded": 876, "counts": [ 703, 105, 45, 4, 10, 5, 4 ], "sections": 24 }, "instructor_url": "/instructors/KATIE_GAERTNER--instructor_dc3304457085d3bfbb7f5017" }, { "instructor_uid": "instructor_25ccc3f97bc8a6bf640e5e22", "source": "enrollment", "source_instructor_id": "gaertner2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Katie Gaertner", "email": "KATIE.GAERTNER@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/KATIE_GAERTNER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 107", "course_uid": "course_cc7645901d20b6a2881474b1", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Katie Gaertner" ], "a": 28, "ab": 8, "b": 4, "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": 1, "other": 0, "total": 42, "source_aliases": [ "GENBUS 107" ] } ] ``` ### statistics #### gpa 3.756 #### graded 41 #### counts * 28 * 8 * 4 * 0 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_cc7645901d20b6a2881474b1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_cc7645901d20b6a2881474b1-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_cc7645901d20b6a2881474b1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_cc7645901d20b6a2881474b1-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_cc7645901d20b6a2881474b1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_cc7645901d20b6a2881474b1-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7560975609756095 #### count 41 #### university ##### size 1283 ##### gpa Percentile 57 ##### count Percentile 23 ##### 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": 59, "countPercentile": 28, "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 } ] } } ] ``` ### terms #### 1264 ##### term 1264 ##### gpa 3.7560975609756095 ##### count 41 ##### university ###### size 1283 ###### gpa Percentile 57 ###### count Percentile 23 ###### 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": 59, "countPercentile": 28, "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 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ##### GENBUS ###### size 30 ###### gpa 3.6817668874579623 ###### top Share 83.39332566820664 ###### count 79 #### terms ##### 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_dc3304457085d3bfbb7f5017", "name": "KATIE GAERTNER", "count": 41, "terms": [ { "term": "1264", "count": 41, "sections": 1, "gpa": 3.7560975609756095 } ] } ] ``` ## following | code | title | | ---------- | ------------------------------------------------------ | | GENBUS 210 | ARTIFICIAL INTELLIGENCE ENABLED BUSINESS SOLUTIONS LAB |