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Course Criteria
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1.00 Credits
(to include emacs, vi, and pico), printing, mail, and online help. The goals of this course are to enable students to log in to their UNIX accounts from any type of computer and have a basic understanding of the commands and utilities.
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3.00 Credits
Prerequisites: MAC 1105 and previous computer experience. May not be applied toward a major in computer science. Course covers basic computer organization, computer languages and software, language translation and interpretation, object oriented design, object oriented programming, classes, objects, and inheritance, file systems and I/O.
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3.00 Credits
Corequisite: COP 4530. This course covers the principles of programming languages, including language constructs, syntactic and semantic specification methods, runtime structures, implementation techniques, and alternative programming paradigms. The course involves programming assignments in a variety of languages and individual investigations accompanied by a required written report and oral presentation.
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3.00 Credits
Prerequisite: CGS 2100. This course presents advanced application development methodology, technology, and tools. Students work on teams in the applied study of complex systems development problems and cases.
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3.00 Credits
Prerequisite: COP 3330. This course is an introduction to selected Unix tools and utilities that are useful for advanced users, programmers, and system administrators, such as shell scripts, the perl language, revision control systems, debuggers, editors, and the make, awk, sed, and expect utilities.
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3.00 Credits
Prerequisite: COP 4530. Corequisite: COP 4610 or instructor permission. This course covers the theory of Hierarchical State Machines [HSM] and the use of HSM to model and implement Reactive Systems [RS]. The course explores implementations of HSM in C, C++, and Java. HSM are applied for modeling and implementing RS including real-time, multi-threaded, and embedded systems.
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3.00 Credits
Prerequisites: COP 3330 and MAD 2104. Pre- or Corequisite: CDA 3100. This course focuses on definition, use, and implementation of generic data structures using a modern programming language; reusable program components.
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3.00 Credits
Prerequisites: COP 4530 and MAD 3105. Corequisite: STA 3032 or STA 4321; and STA 4442. Analysis of the complexity of algorithms, including sorting, searching, and graph algorithms; use and implementation of graphs.
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3.00 Credits
Prerequisites: COP 4530, CDA 3100, or instructor permission. This course explores design principles of batch, multiprogramming, and time-sharing operating systems; linking, loading, input-output systems, interacting processes, storage management, process and resource control, file systems.
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3.00 Credits
Prerequisite: COP 4610 or instructor permission. Survey of issues in the design and implementation of real-time computer systems. Topics include: the use of computers for controlling real-time processes, the use of Ada in embedded computer systems, and implementation of a real-time computer system.
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