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Course Criteria
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5.00 Credits
Prerequisite: Mathematics 4743 or 4753 or 5743, or Industrial Engineering 3293 and permission of the instructor. Topics include the proper construction of experimental questions, the design of methods to get at these questions, and the evaluation of the empirical results. We will discuss the formulation of empirically-testable hypotheses as applied to different sub-fields of computer science and engineering, the design of experiments in order to test these hypotheses, and a range of statistical methods that are available for the evaluation and analysis of experimental results. (F)
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1.00 Credits
Prerequisite: 4513. An advanced course dealing with both current database applied research subjects and theoretical aspects of relational databases. Selected topics such as distributed databases, object-oriented databases, real-time databases, and multimedia databases will be discussed. (Sp)
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1.00 Credits
Prerequisite: 4613. Provides a comprehensive treatment of the analysis and design of computer networks. Data communication techniques and distributed processing in a network architecture will be examined. (Sp)
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4.00 Credits
Prerequisite: Mathematics 3333 and Aerospace and Mechanical Engineering 3723 or Mathematics 4073 or Engineering 3723. Interaction between applications, architectures, and algorithms. Review of linear algebra, serial, pipelined vector processors, clusters of processors. Measures of proformance of parallel algorithms. Parallel algorithms for the solution of linear systems. No student may earn credit for both 4743 and 5743. (F)
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5.00 Credits
Prerequisite: 5743. Special research topics in scientific computing. Possible topics include optimization algorithms, time series modeling, Kalman filtering techniques, and miltivariate statistical techniques. (Sp)
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1.00 Credits
Prerequisite: 3823. Theory of formal languages. Mathematical modeling of natural or artificial objects, events, and phenomena. Topics include systems for linear/nonlinear objects, their language-theoretical properties, and the related machine theory. (F)
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2.00 Credits
Prerequisite: 3823 and 4413. Elementary number theory, time complexity for doing arithmetic, finite fields, RSA, discrete logarithm and Diffie-Hellman, zero-knowledge protocols and oblivious transfer. Basic elliptic curve cryptosystems, elliptic curve factorization and primality proving. No student may earn credit for both 4823 and 5823. (Sp)
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7.00 Credits
Prerequisite: permission of instructor. May be repeated with a change of subject matter; maximum credit six hours. Selected topics of current research interest not covered by regularly scheduled coursework. (F, Sp, Su)
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8.00 Credits
Variable enrollment, two to nine hours; maximum credit applicable toward degree, six hours. (F, Sp, Su)
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9.00 Credits
1 to 3 hours. Prerequisite: graduate standing, permission of instructor. May be repeated with change of topic; maximum graduate credit nine hours. Supervised individual reading and research in computer science for graduate students. (F, Sp, Su)
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