Examining the Structure of a Multidisciplinary Engineering Capstone Design Program
Bob Rhoads, Clifford Whitfield, Jacob Allenstein, Peter Rogers
- Year
- 2020
- Citations
- 5
- Access
- Open access
Abstract
Rogers joined the university in October, 2008 bringing with him 35 years of industrial experience. His career includes senior leadership roles in engineering, sales, and manufacturing in robotics, electronics, sensors, and controls industries. Throughout his career, Rogers has developed products using an innovative process consisting of multidisciplinary teams focused on understanding customer needs and converting them to commercially viable products and services. He brings this experience to the university where he leads the effort in developing company-sponsored, product-oriented Capstone design programs. As part of the mission of the Engineering Education Innovation Center (EEIC), Rogers has co-led the development of an ABET approved curriculum for a year-long Capstone experience. With a focus on providing students with a broader experience base, the multidisciplinary program applies teams of engineers, business, design, and other students to work with Ohio companies to help them be more competitive. Teams apply a company's core competencies to help develop new products and markets. This experiential learning emphasizes real-world problem solving, professional communication and ethics, teamwork, and implementation of a formalized design process. Additionally, Rogers has created the Social Innovation and Commercialization initiative by collaborating with business, engineering, and design colleges. Partnering with local non-profit organizations, teams define unmet problems working with people with various disabilities-problems that can be solved with an innovative product. The educational goal is to provide experiential learning with a social outreach. The social goal is to produce income to help non-profit partners become self-sustaining while improving the independence of people with disabilities. Rogers earned his PhD at the University of Massachusetts, Amherst focused on mechanical engineering and manufacturing. He has presented a number of industrial conference papers and holds several patents.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991