Research Focus We are focusing our energies on several areas in computational engineering. Undergraduate Programs; Graduate Programs; Courses. Research Theme: Computational Engineering.Ph. D in Computational Science - Institute of Mathematical Studies. Program Overview. Computational Interdisciplinary Graduate Programs at Purdue rank among the premier programs of their kind, worldwide. The programs offer specializations in Computational Science and Engineering (CS&E) and. The Computational Engineering graduate program is. Computer Engineering, or Software Engineering degree programs) CSE 6833 Introduction to Analysis of Algorithms: 3 hours. San Diego State University (SDSU) offers a doctoral degree in Computational Science in collaboration with Claremont Graduate University (CGU). The program involves graduate level courses and research projects under the supervision of SDSU faculty from the Departments of Physics, Mathematics, Computer Science, Chemistry, and Biology with cooperating faculty from CGU. The Ph. D degree is awarded jointly by the two institutions. Introduction The Computational Science and Engineering (CSE) graduate program is a new educational initiative at San Diego State University. Computational Science and Engineering is an exciting and rapidly evolving field that exploits the power of computation as an approach to major challenges on the frontiers of natural and social science and all engineering fields. We offer research & graduate studies in computational sciences & engineering, applied mathematics, software engineering, & computational visualization. Computational Science and Engineering (CSE) Programs Hasan U. Akay Professor and Chair Department of Mechanical Engineering Indiana University-Purdue University Indianapolis Presented at EDUCEE’06 Workshop October 4-6, 2006. There are presently only a handful of graduate programs nationwide, whose character and organization resemble that of CSE; however, we predict that this program of study will elicit considerable interest in the years to come. Computational science is enjoying a tremendous popularity these days. Computer modeling and simulations play a pivotal role in virtually every area of pure and applied research. Numerical computation is often regarded as the only viable option to achieve progress on a variety of complex problems for which existing analytical techniques are inadequate. An obvious goal of the CSE program is, therefore, the training of science professionals capable of effectively utilizing modern computing facilities and appropriate computational methods. It would be quite misleading, however, to regard Computational Science merely as a collection of tools and algorithms. More importantly, in our view, the CSE graduate program addresses the growing need for more versatile and broadly educated researchers than those produced by typical graduate programs in the traditional scientific and engineering disciplines. This need is particularly evident in some areas of industrial and applied research, and has also been pointed out by a number of . Why a Ph. D Program By and large, doctoral programs in the sciences are structured to train primarily future academic professionals. However, it is fairly well documented that only about a third of all Ph. Ds in science and engineering eventually find permanent employment in academia. Even less frequently do science Ph. Ds find an occupation related to the particular subject of their graduate training, or even in the same discipline, or general area of science . At the same time, however, average unemployment rate for science and engineering Ph. Ds has been consistently below the national average, to indicate that such graduates can successfully seek employment outside their immediate field of expertise. This is doubtless due to their general aptitude at tackling complex tasks, which is in turn a direct outcome of their training in research. Examples abound; to cite only one, the recent wave of Ph. D physicists who found employment in the financial industry. Concurrently, the last decade has witnessed profound changes and restructuring of traditional industrial Research and Development (R& D). Many industrial and corporate laboratories, that had been at one time heavily engaged in cutting edge basic research, were refocused to have a greater and more immediate impact on production, allow firms to be competing on several fronts at the same time, make a more efficient use of internal resources and keep up with rapidly changing technology. This process has naturally favored skilled but broadly educated scientists, capable of working beyond the traditional boundary of their own field, typically within multidisciplinary teams. These qualities are at odd with the narrow focus that characterizes graduate student research in science doctoral programs across the nation. Graduate students are under pressure to produce individual original contributions within a very well delimited field. They are practically never encouraged to explore the possible relevance of what they are learning to other areas of research, or even to familiarize themselves with research themes or terminology from other disciplines. These issues are particularly important in computational science, as the great generality of its methods and techniques makes them relevant to virtually any research work. Yet, very seldom are Ph. Ds in scientific disciplines or engineering, even those who have performed computational work for their thesis project, capable of quickly exporting methods and applications to other fields without substantial retraining. The Ph. D program in CSE aims at accomplishing the above goal by pursuing an interdisciplinary approach to graduate training.
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