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Course Criteria
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3.00 Credits
No course description available.
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3.00 Credits
No course description available.
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3.00 Credits
Automata Theory. Three semester hours. This course teaches the general theory, concept, and techniques related to the theory of automata. Practical examples related to programming languages are emphasized. Students will have the opportunity to utilize theoretical aspects of automata theory by performing a medium-scale design project. Topics include: Finite Automata, Transition Graphs, Nondeterminism, Finite Automata with Output, Context-Free Grammars, Regular Grammars, Chomsky Normal Form, Pushdown Automata, Context-Free Languages, Non-Context-Free Languages, Parsing, and Turing Machines. Prerequisite: CSci 515 and Math 192.%
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3.00 Credits
No course description available.
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3.00 Credits
Advanced Micro-controller Electronics. Three semester hours. (Same as Phys 552) Embedded logic design and programming. Topics include micro-controller selection, peripheral interfacing, low and high-level programming languages, and microcontroller development tools. Prerequisite: Consent of the Instructor%
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3.00 Credits
Networking III-UNIX Based Networks. Three semester hours. This course is designed to introduce advanced concepts of networking applications of UNIX-based mini and micro based computing environments. The UNIX-model of networking, interprocess communication, and TCP/IP sockets are the major topics to be discussed. A moderate-sized course project involving intensive coding will be implemented to exercise and demonstrate TCP/IP aspects and other networking concepts introduced in class. Prerequisite: CSci 520, 525, 530 or consent of the instructor.%
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3.00 Credits
Compilers. Three semester hours. This course is intended as a first course in compiler design. The emphasis is on solving problems universally encountered in designing a language translator, regardless of the source or target machine. Major topics in compiler design are covered in depth. The topics to be covered are lexical analysis, static semantic checking, parsing, intermediate code generation, machine code generation, and optimization of machine code. Some of the existing compilers that have been constructed using these techniques are studied as case studies. Prerequisite: CSci 515, 520.%
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3.00 Credits
No course description available.
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3.00 Credits
Neural Networks - Three semester hours In this course the theory and practice of neural computation are introduced. Inspired from the interreaction of human neural cells, artificial neural networks are substantially used for many real-world problems: classification, time-series prediction, regression, pattern recognition. We start with the introduction of neural networks, and continue with Hebb and perceptron algorithms, which are fundamentals of classification in neural networks. Autoassociative Nets and Iterative Autoassociative Nets are discussed with application on exemplary problems. Furthermore, having discussed the Kohonen self-organizing map, we briefly cover recurrent networks of the Hopfield type nets. Finally, the multilayer perceptron, and the radial basis function network, which are trained using back-propagation, are covered. Average programming skills are expected. Pre-requisites : Instructor's approval required. %
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3.00 Credits
No course description available.
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