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  • 3.00 Credits

    A course dealing with all aspects of system design and implementation. Problem definition, feasibility study, system design tools, system development control, and implementation and evaluation of systems will be covered. Prerequisite: CSC 117 or equivalent. (Fall 2008) Katcher/ Three credits
  • 3.00 Credits

    This course introduces operating system design emphasizing process management for multiuser and networked systems. Topics covered include: process scheduling, interprocess communication, race conditions and solutions, memory, device and file management. Prerequisites: CSC 260 and CSC 305. (Spring 2009) Driehaus/ Three credits
  • 3.00 Credits

    This course introduces complex data structures such as trees, lists, stacks, and matrices. It also covers the classification of an algorithm by computing its order. The algorithms that will be analyzed include various sorting and searching methods. Prerequisite: CSC 250. (Fall) Borgia/ Three credits
  • 3.00 Credits

    This course presents the basic principles for the design and use of computer graphic systems. Topics include graphics devices, two- and three-dimensional representations, transformations, rotations, scaling, device independence, windowing, and clipping. Prerequisite: CSC 305 must be completed or taken concurrently. (Fall 2008) Borgia/ Three credits
  • 3.00 Credits

    Java is an object-oriented programming language with many interactive multimedia capabilities. This course covers the fundamentals of Java programming language, including how to write, debug, and execute Java programs. The course covers object-oriented programming techniques, as well as creating Java applets and applications. Prerequisite: CSC 305. (Spring 2009) Borgia/ Three credits
  • 3.00 Credits

    This course deals with both the operational and decision support environment of database systems. Topics include indexing, randomization, physical blocking, and relational and hierarchical structures. Previous experience at the level of CSC 175 or equivalent is recommended. Prerequisite: CSC 305. (Spring 2009) Katcher/ Three credits
  • 3.00 Credits

    This course is an open-ended discussion of what Artificial Intelligence (AI) is and how it might be achieved. Computers are defined as abstract machines. Defining intelligence is approached using results from neuroscience and cognitive psychology. Practical AI applications discussed include: language-understanding, robotics, expert systems, neural nets, and game-playing programs. Prerequisite: CSC 305 must be completed or taken concurrently. (Fall 2007) Driehaus/ Three credits
  • 3.00 Credits

    Concepts, methods, and introduction to the theory of optimization of linear systems. Topics to include simplex method, duality, sensitivity, formulation, and classic problems, e.g., maximal flow, travelling salesman, and assignment. Prerequisites: CSC 305 must be completed or taken concurrently. (Spring 2008) Katcher/ Three credits
  • 3.00 Credits

    This course examines principles and current trends in computer networks. It covers local area network (LAN) technology, network architecture, network layers using the ISO's reference model for open systems, protocols, network topology, internet working devices, and data communications. The course utilizes elementary concepts and offers hands-on experience with LANs. Prerequisite: CSC 305. (Spring) Borgia/ Three credits
  • 3.00 Credits

    This course is an introduction to the compiler, the program that translates source code into machine language, both from a theoretical and implementation standpoint. Topics include the design and implementation of the three components of a compiler: the scanner, parser, and code generator. Formal language theory topics covered include regular expressions and grammars, and the finite automata that recognize them. Prerequisite: CSC 305. (Spring 2008) Driehaus/ Three credits
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