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Course Criteria
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3.00 Credits
Models and algorithms pertinent to the design of computer operating systems; concurrent processes including synchronization, communication and deadlock problems, process and device scheduling policies, design of file systems, reliability and protection.
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3.00 Credits
Design and implementation of a multi-user operating system, including concurrent processes, use of monitors and kernels, virtual memory with paging, process synchronization and communication, input and output spooler, interrupts, distributed system concep
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3.00 Credits
Physical and logical organization of data files; hierarchical, network, and relational database models; data definition language and data manipulation language of a commercial database management system; query languages.
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3.00 Credits
The evolution of programming languages. Study of the concepts common to languages, constructs, organization, specification, and analysis of languages. The role of languages in software development.
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3.00 Credits
Analysis of compilers and their construction; programming techniques discussed in the current literature; advanced computer applications in both mathematical and nonnumeric areas.
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3.00 Credits
Analysis of compilers and their construction; programming techniques discussed in the current literature; advanced computer applications in both mathematical and nonnumeric areas.
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3.00 Credits
Simulation models; random number generation testing, special purpose simulation languages, statistical analysis of output; regenerative models; trace-driven models. Emphasis on models related to computer operating system design and performance evaluation.
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3.00 Credits
Solution of nonlinear equations, interpolation and approximation, differentiation and integration, systems of linear equations, eigenvalues, eigenvectors, and introduction to solution of ordinary differential equations. Emphasis placed on applications.
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3.00 Credits
Solution of nonlinear equations, interpolation and approximation, differentiation and integration, systems of linear equations, eigenvalues, eigenvectors, and introduction to solution of ordinary differential equations. Emphasis placed on applications.
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6.00 Credits
Functional approximation, quadrature methods, numerical solution of differential equations; matrices and large-scale systems, modern iterative matrix methods; minimax approximations; data smoothing.
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