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Course Criteria
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3.00 Credits
Prerequisite: C. Software development with the Java programming language. Object-oriented design with UML and object-oriented programming with Java and the Java Class libraries. Design of applets and stand-alone Java applications. Laboratory instruction.
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3.00 Credits
Prerequisites: Calculus, linear algebra, ordinary differential equations, and programming in C, Pascal, Ada or Java. Taylor series and error analysis, interpolation, solution of linear and non-linear equations, least squares, integration of functions and differential equations. Programming assignments. Laboratory instruction.
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3.00 Credits
No course description available.
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3.00 Credits
Prerequisite: CSCI 3333 Data Structures. Basic elements of object-oriented technology including classes, their attributes, methods and relations to other classes, objects, classification and inheritance, encapsulation, polymorphism, object-oriented analysis, design and programming assignments in C++ language under UNIX. Laboratory instruction.
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3.00 Credits
Prerequisite: CSCI 3134 Software Development with Java. This course covers advanced programming concepts and use Java programming language. Using UML, pseudo code, and algorithmic modeling to design Java programs. Advanced programming features in Java including detailed review of object oriented paradigm, multithreading, network programming, remote method invocation, using GUI components, basic data structures in Java, Java database connectivity. Laboratory instruction.
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3.00 Credits
No course description available.
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3.00 Credits
Prerequisite: Programming in C. Basic elements of computer hardware and software, data representations, instruction formats and addressing modes, assembly language instructions, programming techniques in assembly language, macro assemblers, link-loaders, functions of operating systems and input/output programming and peripherals. Laboratory instruction.
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3.00 Credits
No course description available.
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3.00 Credits
Prerequisites: CSCI 3133, CSCI 3234 and Java. Advanced programming techniques and data structures including arrays, linked lists, queues and stacks. Abstract data types, recursion, searching and sorting, binary trees, hashing techniques and elementary algorithm design and analysis. Laboratory instruction.
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4.00 Credits
No course description available.
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