A lab course where students address business problems using AI as a simulated client and practical tool, gaining skills in consulting, project management, and applied AI.
Apply consulting and project management frameworks to scope and deliver a simulated client engagement.
Collaborate with clients and teammates to define problems, analyze data, and communicate actionable recommendations.
Demonstrate professional readiness by navigating ambiguity, constraints, and client expectations in a realistic lab setting.
Describe the fundamental structure, core tools, and common implementation challenges of digital solutions.
Utilize AI tools to design, test, and refine prototype digital business solutions.
Source: UW Guide
No recorded grade history.
All recorded terms · compare terms & instructors
GEN BUS 107 and (GEN BUS 306,STAT/MATH 309, 409,MATH 331, or ECON 310), or declared in undergraduate Business Exchange program
This is a best-effort interpretation; check the catalog requirements above.
Raw average: 3.89/5 from 9 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.
RMP profile ↗ · All captured review dates; profile matched by name.
No course-specific feedback yet.
Raw average: 3.76/5 from 25 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.
RMP profile ↗ · All captured review dates; profile matched by name.
No course-specific feedback yet.
Recorded history may be incomplete and does not establish a future schedule.
Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 60 | 0 |
| LEC 002 | Classroom Instruction | 0 / 60 | 0 |
| LEC 003 | Classroom Instruction | 0 / 60 | 0 |
| LEC 004 | Classroom Instruction | 0 / 60 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Address business problems utilizing Artificial Intelligence (AI) as both a simulated client and a practical tool. Gain essential skills in consulting, project management, and applied AI.
No workload feedback recorded.
No grades available yet.
Descriptions, prerequisites, and recorded course offerings.
Observations at scan time; dates do not imply when a catalog change took effect.
Artificial Intelligence Enabled Business Solutions Lab
Recorded 2026-10-14[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:231:027315",
"course_id": "GENBUS 210",
"course_uid": "course_5e14433fac9e850fc6352219",
"term_id": "1274",
"source_course_id": "027315",
"source_subject_id": "231",
"title": "Artificial Intelligence Enabled Business Solutions Lab",
"credits_min": 2,
"credits_max": 2,
"typically_offered": "Not Applicable"
}
]Original comments behind the course and instructor summaries.
No records available.
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Recorded model configuration, reasoning, and tool conversations.
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "522f91241912f6b00b4b15e54899067f7fbd6b060dc784982c3495e1cf706663",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}