Skip to Main Content

ENGIN273

Download as PDF

Deep Tech Commercialization Strategies

EngineeringGraduateCOE - College of Engineering
Overview

Subject

ENGIN

Course Number

273

Department

Engineering

Course Level

Graduate

Course Title

Deep Tech Commercialization Strategies

Course Description

This course explores deep technology commercialization at the interface of business, technology, and intellectual property. Students will work in interdisciplinary teams on real-world, deep tech commercialization projects from leading research institutions and startups. Using the concepts taught in the course, student-led teams will conduct technology and patent analyses, explore the competitive technology landscape, and uncover market entry opportunities to assess the commercial potential of the technology. This is an incredible opportunity to gain real-world experience while learning the fundamentals of deep tech commercialization.

Minimum

3

Maximum

3

Grading Basis

Default Letter Grade; S/U Option

Instructors

Fleming, Staff, Rappaport

American Cultures Requirement

No

Reading and Composition Requirement

None of the Reading and Composition Requirement

Repeat Rules

Course is not repeatable for credit.

Credit Restriction Courses. Students will receive no credit for this course if the following the course(s) have already been completed.

-

Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.

-

Course Objectives

Expose students to the strategic intersection of technology, business, and intellectual property (IP) that is inherent to commercializing deep tech innovations. Learn frameworks to identify and analyze the key technology and IP assets that make up the foundational building blocks of a deep tech innovation. Apply an interdisciplinary toolset to support the process of technology capture, positioning, and commercialization by mapping and analyzing competitive technology positions, market positions, and IP-based control positions. Evaluate and prioritize commercial opportunities by identifying potential customer value propositions, business models, and revenues. Hone communication and leadership skills through customer discovery, presenting to peers and industry professionals, and providing recommendations (both positive and negative) to project team leaders throughout the course.

Student Learning Outcomes

Students will learn real-world strategies to analyze deep technology innovations from the perspective of technology, IP, and commercialization. Students will learn how to professionally interact with a variety of people from potential customers to tech transfer officers, and leading researchers. They will have gained practical experience applying a unique interdisciplinary toolset to assess the potential to commercialize deep tech innovations.

Formats

Lecture

Term

Fall and Spring

Duration (in weeks)

15

Minimum Hours

3

Maximum Hours

3

Outside Work Hours Min

6

Maximum Hours

6
Powered by Coursedog