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Course Criteria
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 233. Students will develop various informative and promotional materials. Emphasis will be on independent work, and developing concepts with outside clients when possible. Projects will include work with traditional print media as well as digital media. Credit toward the degree will not be granted for Computer Science majors.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 235 and one introductory programming course or permission of the Department Head. Topics include using a variety of markup languages and scripting techniques for both server and client WWW applications.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 280. Introduction to the Object-Oriented Paradigm, including data abstraction, encapsulation, polymorphism, inheritance, and garbage collection. Implementation of these concepts using an Object-Oriented language.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 293. Hardware organization and implementation of computer architecture. Instruction set considerations and addressing modes. System control concepts. CPU control, microprogramming, I/O interface and memory organization. Parallel and data flow architecture.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 285. A study of file organization and management, analysis of the concept of information systems, approaches and techniques for evaluating information systems. Fourth generation languages will be explored.
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3.00 Credits
Credit 3 hours. Prerequisites: Mathematics 200, 241, and Computer Science 280. Computer techniques in statistical analyses using standard statistical packages. Topics include frequency distributions, variances, confidence intervals, chi-square, linear regression and correlation analysis.
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3.00 Credits
Credit 3 hours. Prerequisites: Mathematics 200 and Computer Science 280. Introduction and techniques of computer graphics. Topics include interactive versus passive graphics, inputoutput devices, and programming techniques suitable for the visual representation of data and images.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 257, 280, and 285. Further study of trees, including: balanced trees, B-trees, 2-3 trees, and tries; external sorting, symbol tables, and file structures.
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3.00 Credits
Credit 3 hours. Prerequisites: Computer Science 280 and Mathematics 201 or equivalent. Computer-oriented numerical methods for scientific problems. Topics include error analysis, Taylor series, solutions of equations, linear simultaneous equations, and interpolation.
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3.00 Credits
Credit 3 hours. Prerequisites: Computer Science 257, 390 and Mathematics 201. The design, implementation, and complexity of algorithms analysis.
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