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CS 416G: Principles of Operations Research I
3.00 Credits
University of Kentucky
The course is an introduction to modern operations research and includes discussion of modeling, linear programming, dynamic programming, integer programming, scheduling and inventory problems and network algorithms. Prereq: MA 213 or equivalent. (Same as MA 416G.)
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CS 416G - Principles of Operations Research I
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CS 422: Numerical Solutions of Equations
3.00 Credits
University of Kentucky
Linear equations: Gaussian elimination, special linear systems, orthogonalization, eigenproblem, iterative methods. Nonlinear equations: solutions of equations in one variable, solutions of systems of nonlinear equations. Optimization. Prereq: CS/MA 321 and MA 322; or consent of instructor. (Same as MA 422.)
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CS 422 - Numerical Solutions of Equations
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CS 441G: Compilers For Algorithmic Languages
3.00 Credits
University of Kentucky
The techniques of processing, specifying, and translating high-level computer languages are studied. Topics include finite state machines and lexical analysis, context-free grammars for language specification, attributed translation grammars, language parsing, and automatic generation of compilers by SLR, LALR, and other methods of analyzing context-free grammars. Other topics may include code optimization, semantics of programming languages, and top-down parsing. Prereq: CS 315 and engineering standing.
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CS 441G - Compilers For Algorithmic Languages
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CS 450G: Fundamentals of Programming Languages
3.00 Credits
University of Kentucky
An intensive study of fundamental programming concepts exhibited in current high level languages. Concepts include recursion, iteration, coroutines, multiprocessing, backtracking, pattern-matching, parameter passing methods, data structures, and storage management. Typical languages studied are SNOBOL, LISP, PASCAL, and APL. Prereq: CS 370. Restricted to computer science and electrical engineering majors. Others by permission.
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CS 450G - Fundamentals of Programming Languages
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CS 463G: Introduction to Artificial Intelligence
3.00 Credits
University of Kentucky
The course covers basic techniques of artificial intelligence. The topics in this course are: search and game-playing, logic systems and automated reasoning, knowledge representation, intelligent agents, planning, reasoning under uncertainty, and declarative programming languages. The course covers both theory and practice, including programming assignments that utilize concepts covered in lectures. Prereq: CS 315, CS 375, and engineering standing.
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CS 463G - Introduction to Artificial Intelligence
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CS 470G: Introduction to Operating Systems
3.00 Credits
University of Kentucky
This course provides an introduction and overview of operating system design, internals, and administration. Topics include classical operating systems (process management, scheduling, memory management, device drivers, file systems), modern operating systems concepts (kernel/microkernel designs, concurrency, synchronization, interprocess communication, security and protection), and operating system administration. Prereq: CS 315, CS 380, and graduate or engineering standing.
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CS 470G - Introduction to Operating Systems
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CS 471G: Networking And Distributed Operating Systems
3.00 Credits
University of Kentucky
Broad overview of concepts in networking and distributed operating systems with examples. Topics will include protocol stacks, link, network, transport, and application layers, network management, the client-server model, remote procedure calls, and case studies of distributed OS and file systems. Prereq: CS 315 and graduate or engineering standing.
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CS 471G - Networking And Distributed Operating Systems
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CS 480G: Advanced Computer Architecture
3.00 Credits
University of Kentucky
This course focuses on advanced computer architectures and low-level system software. Topics include RISC architectures, vector and multiprocessor architectures, multiprocessor memory architectures, and multiprocessor interconnection networks. Peripheral devices such as disk arrays, NICs, and video/audio devices are covered. Topics also include device drivers, interrupt processing, advanced assembly language programming techniques, assemblers, linkers, and loaders. Prereq: CS/EE 380. (Same as EE 480.)
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CS 480G - Advanced Computer Architecture
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CS 485G: Topics in Computer Science
2.00 - 4.00 Credits
University of Kentucky
Studies of emerging research and methods in computer science. A review and extension of selected topics in the current literature. When the course is offered, a specific title with specific credits, the number of hours in lecture-discussion and laboratory will be announced. Lecture/discussion, two-four hours; laboratory, zero-four hours per week. May be repeated to a maximum of eight credits under different subtitles. Prereq: Variable, given when topic is identified; or consent of instructor.
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CS 485G - Topics in Computer Science
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CS 499: Senior Design Project
3.00 Credits
University of Kentucky
Projects to design and implement complex systems of current interest to computer scientists. Students will work in small groups. Prereq: CS 315 and engineering standing.
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CS 499 - Senior Design Project
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