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CSA 220: Professional Practice
0.00 Credits
Miami University-Oxford
Students participating in computer technology associate's degree co-op program register for this course during semesters when they are on work assignment. This enables students to maintain continuing student status with the university.
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CSA 220 - Professional Practice
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CSA 251: Introduction to Game Programming
3.00 Credits
Miami University-Oxford
Introduction to computer programming techniques used in games and visual simulations. Simple data and control structures, mathematical foundations, transformations, rendering algorithms and interfaces. This course is designed for non Computer Science majors.
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CSA 251 - Introduction to Game Programming
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CSA 253: Programming Languages
1.00 - 2.00 Credits
Miami University-Oxford
Presents syntax and semantics of a particular programming language currently popular in industrial or academic settings. Addresses construction of programs in the language. Applications of the language presented. Coverage of good programming style and software engineering concepts addressed in context of the language. Not applicable to CSA electives requirement for a CSA major. Offered infrequently.
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CSA 253 - Programming Languages
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CSA 270: Special Topics
3.00 Credits
Miami University-Oxford
Special topics in computer science, computer information systems, or operations research. Prerequisite: permission of instructor.
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CSA 270 - Special Topics
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CSA 278: Computer Architecture
3.00 Credits
Miami University-Oxford
Principles of Von Neumann computer architecture. Data representation and computer arithmetic. Memory hierarchy. CPU structure and instruction sets. Assembly language programming to better understand and illustrate computer architecture concepts. Performance considerations and alternative computer architectures. Prerequisite: CSA 271 or equivalent. Cross listed with ECE 278.
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CSA 278 - Computer Architecture
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CSA 283: Data Communication and Networks
3.00 Credits
Miami University-Oxford
Introduction to data communications, computer networks, protocols, and distributed processing as well as relevant standards and underlying theory. Topics include communication codes, transmission methods, interfacing, error detection, communication protocols, communications architectures, switching methods, and network types. Local area network and internetwork technologies are studied. The client/server model of distributed processing addressed. Students design and implement data communications and network-based software. Prerequisite: CSA 271 or permission of instructor.
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CSA 283 - Data Communication and Networks
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CSA 320: Professional Practice
0.00 Credits
Miami University-Oxford
Students participating in the computer science and systems analysis co-op program register for this course during semesters when they are away from Oxford on work assignment. This enables students to maintain continuing student status with the university.
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CSA 320 - Professional Practice
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CSA 348: Applied Software Engineering
3.00 Credits
Miami University-Oxford
Study of all phases of the systems development life cycle: project identification and justification, requirements analysis, data modeling, process modeling, design and specification techniques, prototyping, systems architectures, software design and construction. Object oriented analysis and design. Prerequisite: CSA 274.
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CSA 348 - Applied Software Engineering
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CSA 361: Societal & Ethical Issues in Computing
3.00 Credits
Miami University-Oxford
An examination of the ethical, legal, and social responsibilities of the practicing professional computer scientist. Issues addressed include computers and privacy, computer crime, public safety, intellectual property and professional codes of ethics. Key issues will normally be considered through case studies. Prerequisite: junior standing.
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CSA 361 - Societal & Ethical Issues in Computing
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CSA 371: Linear and Nonlinear Programming Models
3.00 Credits
Miami University-Oxford
Presentation of theory, computational techniques, and general applications of linear, integer, and parametric programming; decomposition and network flow principles. Prerequisite: MTH 222 or 231 and CSA 273 or equivalent.
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CSA 371 - Linear and Nonlinear Programming Models
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