BUS 74 — Principles of Invention and Innovation in the Age of AI
Quarter: Summer
Instructor(s): Eugene Shteyn
Date(s): Jun 23—Jul 25
Class Recording Available: No
Class Meeting Day: Tuesdays/Saturday
Class Meeting Time: 7:00—8:50 pm (PT)
Please Note: Class sessions: 5 Tuesdays, June 23, June 30, July 7, July 14, and July 21, 7:00 – 8:50 pm (PT); Workshop: Saturday, July 25, 10:00 am – 4:00 pm (PT)
Tuition: $610
Refund Deadline: Jun 25
Unit(s): 1
Enrollment Limit: 40
Status: Registration opens May 18, 8:30 am (PT)
Quarter: Summer
Day: Tuesdays/Saturday
Duration: 5 weeks
Time: 7:00—8:50 pm (PT)
Date(s): Jun 23—Jul 25
Unit(s): 1
Tuition: $610
Refund Deadline: Jun 25
Instructor(s): Eugene Shteyn
Enrollment Limit: 40
Recording Available: No
Status: Registration opens May 18, 8:30 am (PT)
Please Note: Class sessions: 5 Tuesdays, June 23, June 30, July 7, July 14, and July 21, 7:00 – 8:50 pm (PT); Workshop: Saturday, July 25, 10:00 am – 4:00 pm (PT)
What enables some ideas to reshape industries while others remain promising but unrealized? In an era shaped by AI, professionals across technology, science, and business are generating new concepts rapidly, yet many struggle to move from insight to sustained impact. This hands-on course examines the underlying principles that help ideas advance from concept to implementation. Drawing on approaches such as hypothesis-driven experimentation, first-principles thinking, systems design, and rapid iteration, participants learn how to test assumptions, refine problem definitions, and design solutions that can scale. The course also explores how AI can strengthen invention processes through automation, human-in-the-loop systems, and data-informed decision-making.
Through case studies and applied exercises, students practice turning early insights into structured experiments, scalable processes, and viable business models. The course culminates in an invention workshop where participants apply these methods to a real-world challenge and develop a plan to advance and protect their ideas.
Through case studies and applied exercises, students practice turning early insights into structured experiments, scalable processes, and viable business models. The course culminates in an invention workshop where participants apply these methods to a real-world challenge and develop a plan to advance and protect their ideas.