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CS 817: Adv Java Technlgy
3.00 Credits
Wichita State University
Advanced Java Technology Covers advanced features of the Java language, the underlying implementation technology (Java Virtual Machine), and extensions of the Java technology. Includes concurrent object-oriented programming and Java core reflection, and extensions of the Java technology providing parametric polymorphism and persistence. Includes challenging programming projects. Time also devoted to recent Java research and development results. Prerequisite: CS 510 with a B or better.
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CS 817L: Adv Java Lab
0.00 Credits
Wichita State University
No course description available.
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CS 817L - Adv Java Lab
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CS 821: Analysis of Algorithms
3.00 Credits
Wichita State University
No course description available.
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CS 821L: Analy Algorth Lab
0.00 Credits
Wichita State University
No course description available.
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CS 822: Parallel Algorthm
3.00 Credits
Wichita State University
No course description available.
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CS 822 - Parallel Algorthm
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CS 822L: Parallel Alg Lab
0.00 Credits
Wichita State University
No course description available.
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CS 836: Computer Performance Analysis
3.00 Credits
Wichita State University
CS 836. Computer Performance Analysis. Teaches the basic concepts in stochastic modeling of systems for analysis and for simulation. Analytic modeling techniques include discrete- and continuous-time Markov chains, queuing theory, and queuing networks, as well as approximate methods based on these techniques. Operational analysis presents a non-stochastic, measurement-based perspective to the analysis of computer systems. Also emphasizes discrete-event simulation, a widely-used technique in many areas of performance evaluation. Performance metrics taken from stochastic simulations are phantom variables, and are subject to the same types of statistical analysis as data obtained from real systems. Prerequisite: EE 754.
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CS 837: Energy Intellig Mobile Comp
3.00 Credits
Wichita State University
CS 837. Energy Intelligent Mobile Computing (3). 2R; 2L. Introduces various mobile computing scenarios involving technologies like wireless LANs, wireless sensor networks, radio frequency identification and more. Explores fundamental causes of energy wastage during communication by wireless radio enabled devices and addresses means to be more efficient. Also looks at how computing can, in general, be carried out in an energy intelligent manner. Taught with the aim of imparting research skills in the area. Prerequisites: CS 737 or equivalent and knowledge of the Unix operating system.
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CS 837L: Energy Intell Mobile Comp-Lab
0.00 Credits
Wichita State University
No course description available.
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CS 842: Op Syst Concepts
3.00 Credits
Wichita State University
No course description available.
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