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Course Criteria
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3.00 Credits
Prerequisite: CSC 465 or equivalent Study of computer networks and data communications technologies. Topics include Local and Wide Area Networks, wireless LAN technology, digital transmission, OSI model, Internet architecture and TCP/IP, transmission system, modem technology, data encryption, network security and multimedia information. Scheduled spring semesters every three years. 3 credits.
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3.00 Credits
Prerequisite: CSC 555 & CSC 565. Principles of network & system penetration, using the same methods as hackers, are explored with the purpose of finding and fixing security vulnerabilities and ensuring the security of information assets. Legal and ethical issues associated with penetration testing are emphasized. The lab-intensive exercises are used to gain practical experiences in areas such as scanning and enumeration, access and exploitation, escalating privileges, malware, buffer overflows, and other relevant topics. 3 credits
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3.00 Credits
Prerequisite: MAT 221 A comprehensive study of methods and algorithms based on the artificial neuron concept. A detailed analysis of mathematical models inspired by the brain's ability to process information. An extensive research of neural network techniques such as perceptrons, multi-layered networks, radial basis function networks, support vector machines and principal component analysis. Computational applications of neural network concepts including feature detection, approximation, generalization, learning and memory. 3 credits.
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3.00 Credits
Prerequisite: CSC 305 or equivalent This course covers computer architecture from the design of memory to CPU, selection of instructions sets for CPU, memory management, piplining, Multiprocessors, RISC & CISC processor, storage network architecture and arithmetic processor. 3 credits.
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3.00 Credits
Prerequisite: MAT 221 and MAT 372 A study of techniques and methodology for analysis of large data sets to find unsuspected relationships and summarize the data in novel ways that are both understandable and useful to the data owner. 3 credits.
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3.00 Credits
Prerequisite: CSC 558 or CSC 568. Principles of securing, monitoring and protecting heterogeneous complex distributed computer systems against cyber-attacks. The emphasis is placed on security related activites before, during and after a system security breach. Topics include system monitoring, intrusion detection and evidence collection, incident response, system recovery, and incident prevention. 3 credits
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3.00 Credits
Productivity Tools on the MAC Overview of the productivity, imaging and visualization tools on the MAC. Software will include word processing, spreadsheets, database, desk-top publishing and image editing programs. This should be the first course in computing for the graduate student. 3 credits
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3.00 Credits
Prerequisite: CSC 212 or equivalent A study of methods and algorithms that mimic biological systems. A comprehensive foundation of life concepts, such as evolution and survival of the fittest, and their computational equivalents. Computational application of evolutionary concepts in science, engineering, mathematics, and other areas. Scheduled fall semesters every three years. 3 credits.
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3.00 Credits
Prerequisite: CSC 521 or equivalent A study of programming techniques and algorithms that utilize multiple processors. A comprehensive foundation of parallel programming paradigms such as message-passing interfaces, shared memory and threads. Computational applications of parallel programming techniques in searching optimization, image processing and other areas. Scheduled spring semesters every three years. 3 credits.
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3.00 Credits
Prerequisites: CSC 153, MAT 151, MAT 221, MAT 372 A study of the behavior of complex systems by simulation of mathematical models on digital computers. Modeling techniques for discrete-event and continuous systems, deterministic and stochastic, will be introduced through projects which involve student-written programs both in higher level programming languages and languages designed for the purpose of simulation. Particular emphasis is given to the application of these techniques to on-going research in the field of computer science. Scheduled fall semesters every three years. 3 credits.
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