BET 370Entrepreneurial Decision-Making with Analytical Tools and Artificial Intelligence
- Units
- 0.50
- Faculty
- Engineering
When it runs
- F24
- W25
- S25
- F25
- W26
- S26
- F26
- W27
- S27
Ran in 0 of the last 7 terms. Winter 2027: not on the schedule. Spring 2027: schedule not out yet.
This course explores how entrepreneurs and intrapreneurs can improve decision quality under uncertainty by integrating behavioural insights, analytical frameworks, and artificial intelligence. Students examine how heuristics, biases, and bounded rationality shape entrepreneurial judgment, then apply systems thinking, game theory, and dynamic modelling to structure better decisions. The course also introduces predictive and generative AI tools that enhance decision-making in complex, fast-changing environments. Through case analysis, computational modelling, and AI experimentation, students learn to apply these approaches to real entrepreneurial challenges.
Leads to
No course lists it as a requisite.
Check it elsewhere for Fall 2026
- Undergraduate Calendar, 2026–27The official entry
- Requirements for Fall 2026Waterloo’s requisite checker
- Schedule of Classes, Fall 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them
Calendar versions
Undergraduate Calendar
- 2026–27 (shown here)
- 2019–20 and earlier on ucalendar