Apart from their assigned mod courses, 1L students may only enroll in courses offered as 1L electives. A complete list of these courses can be found on the 1L Elective Listings page. 1L students must use the 1L class number listed on the course description when enrolling.
279.32 sec. 001 - Deep Tech Innovation & Entrepreneurship (Spring 2025)
Instructor: Bowman Heiden
Instructor: Matthew Rappaport (view instructor's teaching evaluations - degree students only)
View all teaching evaluations for this course - degree students only
Units: 3
Grading Designation: Graded
Mode of Instruction: In-Person
Meeting:
M 6:00 PM - 9:29 PM
Location: Chou Hall N470
From January 27, 2025
To April 28, 2025
Course End: April 28, 2025
Class Number: 33259
Enrollment info:
Enrolled: 12
Waitlisted: 7
Enroll Limit: 12
As of: 01/18 11:55 PM
This course explores the challenges of deep technology innovation and entrepreneurship at the interface of business, technology, and intellectual property. Students will work in interdisciplinary teams with real-world, deep-tech ventures that have recently been launched by leading research universities, labs, and startups. The early-stage venture focus of this course gives students the opportunity to work closely with a founder team to solve the challenges of market entry, scaling-up, building strategic partnerships, overcoming regulatory hurdles, and gaining access to financing in the face of global competition. This is an incredible opportunity to understand real-world issues while learning the fundamentals of deep tech innovation and entrepreneurship.
Objectives & Outcomes
COURSE OBJECTIVES
• Expose students to the strategic intersection of technology, business, and intellectual property (IP) that is inherent to deep tech ventures and entrepreneurship.
• Hone communication and leadership skills through customer discovery, presenting to peers and industry professionals, and providing recommendations (both positive and negative) to venture founders throughout the course.
• Evaluate and develop market entry and business model scenarios.
• Learn to adapt leading-edge theoretical models for practical use in a complex commercial environment.
• Learn how startups search and apply new information to pivot to alternative commercial opportunities.
STUDENT LEARNING OUTCOMES
Students will develop practical skills critical for success in the deep tech space, focusing on areas such as venture/startup formation, business model development, technology marketing strategies, value chain mapping, competitive landscape analysis, and methods for value creation and capture. They will have gained practical experience applying a unique interdisciplinary toolset to develop an early-stage deep tech venture.
Attendance at the first class is mandatory for all currently enrolled and waitlisted students; any currently enrolled or waitlisted students who are not present on the first day of class (without prior permission of the instructor) will be dropped. The instructor will continue to take attendance throughout the add/drop period and anyone who moves off the waitlist into the class must continue to attend or have prior permission of the instructor in order not to be dropped.
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Requirements Satisfaction:
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Submit teaching evaluations for this course between 14-APR-25 and 29-APR-25
Exam Notes: (None) Class requires a series of papers, assignments, or presentations throughout the semester
(Subject to change by faculty member only through the first two weeks of instruction)
Course Category: Intellectual Property and Technology Law
This course is listed in the following sub-categories:
Business Law
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