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Course Criteria
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3.00 Credits
3 hours; 3 credits An introduction to assembly language programming for microcomputer systems. CPU architecture. Registers. Segmentation. Instruction formats and addressing modes. Instruction sets and programming. Directives and operators. Modular programming. Macros. String manipulation. Character codes. Arithmetic programming. (Not open to students who are enrolled in or have completed Computer and Information Science 4 or 2.90.) Prerequisite: Computer and Information Science 1.10 or 1.20 or 1.5 or 2.40 or 2.80.
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3.00 Credits
3 hours; 3 credits Advanced assembly language programming techniques for microcomputer systems. I/O routines. Device interfaces. Interrupt handling. Programming direct memory access devices. Disk I/O. Floating point, I/O, and graphics processors. Prerequisite: Computer and Information Science 4.1 or 2.90; and 27 or 28.
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3.00 Credits
3 hours; 3 credits Fundamentals of computer graphics programming. Graphics hardware and software standards. 2D geometric primitives and raster images. 3D object representations. Data structures, algorithms, and the graphics pipeline. Graphical user interfaces. Underlying concepts in computer graphics systems, including games, animation, modeling, rendering, and paint systems. Prerequisite: Computer and Information Science 22; and Mathematics 2.9 or 2.92 or assignment to Mathematics 3.3 by the Department of Mathematics.
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2.00 Credits
2 hours lecture, 2 hours laboratory; 3 credits Introduction to microprocessor technology. History and applications. Microprocessor architecture: eight- and sixteen- bit processors. Examples of commercially available processors. Instruction sets and software development. Microprocessor memory sections. I/O sections and interfacing techniques. Interrupt systems. Single-chip microcomputers Computer and Information Science 139 and bit-slice processors. Hands-on laboratory experiments. (Not open to students who have completed Computer and Information Science 70.1 topic: Microprocessors.) Prerequisite: Computer and Information Science 2.90 or 4.1, and 27 or 28; or permission of the chairperson.
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3.00 Credits
3 hours; 3 credits Introduction to database systems. Comparison to file processing systems. Data models. Relational, hierarchical, and network systems. Database design. Normal forms. Study of several real-world database management systems, with an emphasis on microcomputer applications. Database recovery query and transaction processing, concurrency. Distributed and object-oriented databases. Prerequisite: Computer and Information Science 21 or 22; and 5.2 or permission of the chairperson.
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3.00 Credits
3 hours; 3 credits Multimedia data types and formats. Multimedia computer database design issues. Indexing and automated retrieval of text documents, audio files, images, and video. Techniques and data structures for efficient multimedia similarity search. System support for distributed multimedia databases. Measurement of multimedia information retrieval effectiveness. Products, applications, and new developments. Prerequisite: Computer and Information Science 45, 36, or 52.
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3.00 Credits
3 hours; 3 credits Programming techniques for development of applications on networks of workstations. Process environments, file system issues. Concurrent programming, interprocess communication. Graphical user interfaces, event-driven programming. Distributed programming; remote process creation, the client-server model, message passing. Prerequisite: Computer and Information Science 22.
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2.00 Credits
2 hours lecture, 4 hours laboratory; 4 credits The principles and practice of system administration in networked and internetworked, multi-user, multi-tasking distributed systems. Basic system administration, connectivity, domain name system management, distributed system information services, network file systems, network service daemons, security kernel modification, device drivers, ethics, and legal issues. System administration tools and languages. Prerequisite: Computer and Information Science 2.50, and 25 or 46.
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3.00 Credits
3 hours; 3 credits Introduction to simulation and comparison with other techniques. Discrete simulation models. Introduction to queueing theory and stochastic processes. Comparison of discrete change simulation languages. Simulation methodology including generation of random numbers and variates, design of simulation experiments for optimization, analysis of data generated by simulation experiments, and validation of simulation models and results. Selected applications of simulation. Prerequisite: Computer and Information Science 4 or 4.1; and Mathematics 8.1 or 51.1.
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3.00 Credits
3 hours; 3 credits Computer networks and protocols. Network topologies and switching mechanisms. Protocol concepts and characteristics. Network protocol architectures. Physical layer concepts. Data link layer functions and protocols. Network layer concepts. Network access protocols. Local area networks and protocols. Internetworking. Transport layer functions and protocols. Upper layer issues and approaches. Application program interfaces. Network examples. (Not open to students who are enrolled in or have completed Computer and Information Science 49.1 or 49.2.) Prerequisite: Computer and Information Science 22; 27 or 28; and Mathematics 8.1.
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