This document together with the Graduate School Handbook, current edition, gives the complete statement of the official requirements for the Master of Science degree in Computer Science and Engineering. These requirements and the procedures for obtaining the degree are determined in part by the Graduate School, and in part by the Department. Petitions for exception to these requirements should be channeled through the departmental Graduate Studies Committee. Students in the M. In order to qualify for admission as regular students, students must first remove any restrictions placed on their status.
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MS in Computer Science (Thesis Option) | Computer Science
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The Computer Science curriculum provides both a broad and deep knowledge of the theory, design, and application of computer systems, with an emphasis on software systems. Because computing is ubiquitous, application areas involve virtually any field imaginable - from developing gene sequencing algorithms via techniques in computational biology, to designing user interfaces for mobile applications; from designing methods for high frequency trading, to creating computer generated graphics and special effects in the gaming industry; and from creating embedded real time systems to be deployed in medical devices, to analyzing social data from internet communication patterns. During the first two years the curriculum provides a strong foundation in mathematics, science, and computation. Advanced coursework in areas of the student's choosing follows in the second two years, which include either a senior thesis or a senior project. Graduates may go on to graduate study or leading positions in industry.
On predicting stopping time of human sequential decision-making using discounted satisficing heuristic , Mounica Devaguptapu. Advanced techniques for improving canonical genetic programming , Adam Tyler Harter. Evolved parameterized selection for evolutionary algorithms , Samuel Nathan Richter. Design and implementation of applications over delay tolerant networks for disaster and battlefield environment , Karthikeyan Sachidanandam. Reputation and credit based incentive mechanism for data-centric message delivery in delay tolerant networks , Himanshu Jethawa.