University Course – Tackling Big Questions with Mobile Cloud Computing
Tackling Big Questions with Mobile Cloud Computing (UNIV 3278/5278) will create a cross-college multidisciplinary environment where undergraduate and graduate students from multiple schools team with computer science students to address big questions. Examples of big questions include how mobile cloud computing technologies are being used to engage young people with chronic diseases; changing political discourse in the United States and around the world; and helping economically disadvantaged individuals bridge the digital divide to obtain better guidance on nutrition and legal matters. The course will integrate students across a range of disciplines and pair them with an expert faculty member from the application domain. In doing so, the course will provide students with hands-on experiences and a deepened understanding of the key mobile cloud computing techniques, tools, and principles needed to tackle these big questions.
Douglas Schmidt , Professor of Computer Science and Computer Engineering. Schmidt’s research focuses on mobile cloud computing, distributed real-time and embedded middleware, cyber-physical systems, software patterns and frameworks, and digital learning.
Jules White, Assistant Professor of Computer Science. White’s research focuses on big data science and engineering, as well as cyber physical systems.
- Ole Molvig , Assistant Professor of History and Assistant Director of the Vanderbilt Institute for Digital Learning
- Ken Monahan , Assistant Professor of Medicine, Division of Cardiovascular Medicine
- Shelagh Mulvaney , Associate Professor of Nursing, Biomedical Informatics, and Pediatrics
- J.B. Ruhl , David Daniels Allen Distinguished Chair of Law
- Heidi J. Silver , Research Associate Professor of Medicine, Division of Gastroenterology, Hepatology, and Nutrition
- Engage in a cross-college experience, interacting with talented faculty from the School of Engineering, College of Arts and Science, School of Nursing, and Medical Center.
- An opportunity to participate in a unique and wide-ranging multidisciplinary team to tackle big questions in society with mobile cloud computing, regardless if you are student of the Computer Science or related Engineering disciplines.
- Students will be able to freely utilize software packages and emulators to develop, test, and evaluate their team-based solutions in mobile cloud computing.
Degree requirements fulfilled:
- College of Arts and Science: Elective credit towards the degree.
- Peabody College: Elective for the liberal education core.
- School of Engineering: Open elective
- Graduate School: Will count towards the 72 credit hours required for graduation
- Cognitive Studies major: Methods of Inquiry requirement