Online education has grown rapidly over the past decade, and has been embraced by a number of leading universities across the US. Furthermore, recent advances in online technologies and pedagogy, and moreover, the rapid emergence of massively open online courses (MOOC’s) across a number of platforms have begun to ‘disrupt’ the higher education enterprise, presenting new opportunities and new challenges. Combined with the rising cost of higher education and the evolving needs for increased lifelong learning opportunities and associated credentials, this disruption will significantly affect the future of post-baccalaureate education.
As part of an ongoing NSF Workshop series entitled “Envisioning the Future of Online Graduate Education in the 21st Century Research University,” we are honored to have Dr. Zvi Galil, Dean, College of Computing at the Georgia Institute of Technology speaking to us about their innovative, low-cost, MOOC-based Master of Science Degree in Computer Science. After the seminar, you will have a chance to interact with Dr. Galil, along with campus leaders in online graduate education at UIUC and from peer institutions who are participating in an NSF-sponsored symposium on online graduate education.
Dr. Zvi Galil is dean of the College of Computing at Georgia Institute of Technology. He was born in Tel-Aviv, Israel, having earned BS and MS degrees in Applied Mathematics from Tel Aviv University, both summa cum laude. He then obtained a PhD in Computer Science from Cornell University. In 1982 he joined the faculty of Columbia University. He served as the chair of the Computer Science Department in 1989-1994 and as dean of The Fu Foundation School of Engineering & Applied Science in 1995-2007. Galil was appointed Julian Clarence Levi Professor of Mathematical Methods and Computer Science in 1987, and Morris and Alma A. Schapiro Dean of Engineering in 1995. In 2007 Galil returned to Tel Aviv University and served as president. In July 2010 he became The John P. Imlay, Jr. Dean of Computing at Georgia Tech. Dr. Galil's research areas have been the design and analysis of algorithms, complexity, cryptography and experimental design.