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Technology Entrepreneurship

Date: 
Monday, July 14, 2014 to Sunday, August 24, 2014
Platform: 
Course topic: 

This course introduces the fundamentals of technology entrepreneurship, pioneered in Silicon Valley and now spreading across the world. You will learn the process technology entrepreneurs use to start companies. It involves taking a technology idea and finding a high-potential commercial opportunity, gathering resources such as talent and capital, figuring out how to sell and market the idea, and managing rapid growth. To gain practical experience alongside the theory, students form teams and work on startup projects in those teams. This is the second offering of the class. Last time, nearly 40,000 students from around the world participated and worked in teams together. The top teams were matched with Silicon Valley mentors, and the best teams at the end of the class pitched their ideas to investors. Many of the alumni of the last class are continuing to build their startups and will be mentoring teams this time. By the conclusion of the course, it is our hope that you understand how to:

1. Articulate a process for taking a technology idea and finding a high-potential commercial opportunity (high performing students will be able to discuss the pros and cons of alternative theoretical models).

2. Create and verify a plan for gathering resources such as talent and capital.

3. Create and verify a business model for how to sell and market an entrepreneurial idea.

4. Generalize this process to an entrepreneurial mindset of turning problems into opportunities that can be used in larger companies and other settings.

Instructor(s)

Chuck Eesley

Assistant Professor, Department of Management Science and Engineering

Chuck Eesley is an Assistant Professor at Stanford University in the Department of Management Science and Engineering (MS&E). His research and teaching interests focus on strategy and technology entrepreneurship. In the broadest sense, Chuck is interested in the "ideas sector" of the economy. He wants to find out which individual attributes, strategies and institutional arrangements optimally drive the rate of innovation, high growth entrepreneurship, and ultimately economic growth.