General Information
Instructor(s)
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- Innovation, Entrepreneurship and Business Design (m)
- None
Target Audience
This online course is primarily targeted at students who are interested in careers in strategy, entrepreneurship, entrepreneurial finance, new product development, and economic development policy. It will be a prerequisite for students wanting to apply for the Creative Destruction Lab (CDL) Advanced Course RSM 2013Y where students will have the opportunity to work directly with a CDL venture.** Interested students should familiarize themselves with the CDL and its various activities prior to registering for this course. More information is available on the CDL website at www.creativedestructionlab.com.
Format
0.5 credits will be granted for completion of this course. Online lectures will be released between May 2022 and August 2022.
Course Mission & Scope
We study a framework for developing an entrepreneurial strategy. This involves the key choices of customer, competition, technology and identity as well as whether ventures pursue a control versus execution focus. As part of the preparation for the CDL Advanced course, this course will also give you the opportunity to learn about the specific managerial problems faced by entrepreneurs operating in one of two key focus areas of the CDL. The first is artificial intelligence. As most ventures in the Toronto CDL have AI cores, this course track will be essential preparation for that as well as an introduction to AI in the real business world. The second is life sciences. Many Toronto CDL ventures focus on commercialization of medical technologies, and this course track will illustrate the key challenges faced by entrepreneurs in this area.
Evaluation and Grade Breakdown
| Component | Due Date | Weight |
|---|---|---|
| Assignment #1: Entrepreneurship Strategy | Part 1: TBD Part 2: TBD | 60% |
| Assignment #2: AI Canvas | TBD | 40% |
Required Resources
- Entrepreneurial Strategy by Joshua Gans, Erin Scott and Scott Stern
- Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans and Avi Goldfarb.
- Links to additional readings will be provided in the course outline
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