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Course Criteria
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3.00 Credits
Topics and methods for emulating natural intelligence using computer-based systems. Topics include learning, planning, natural-language processing, machine vision, neural networks, genetic algorithms. Prerequisite: Computer Science 244. Staff
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3.00 Credits
Data fi le organization and processing, indexed data fi les and indexing techniques, database design; database applications; query languages; relational databases, algebra, and calculus; client-server models and applications; database system implementation and web programming. Prerequisite: Computer Science 120 or permission of the instructor. Staff
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3.00 Credits
C language syntax and structure. C programming techniques. Emphasis on structured design for medium to large programs. Unix operating system fundamentals including shell programming and system calls. Unix utilities for program development, text processing, and communications. Prerequisite: Computer Science 120. Staff
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3.00 Credits
Introduction to physical and architectural elements of communication networks. Review of network architecture and communication protocols with emphasis on standard Internet TCP/IP and IPv6 protocols, as well as LAN protocols such as Ethernet and FDDI. Tools that allow design, measurement and operation of networks. Topics in distributed computing include concurrency and synchronization, programming-language constructs for parallel computing, remote procedure calls, and shared memory models. Prerequisites: Computer Science 222 and 244. Staff
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3.00 Credits
Operating-systems issues involving hardware and software components. Topics include processors, interrupts, I/O devices, process management, concurrency, memory management, fi le systems, and system organization. Prerequisites: Computer Science 222 and 244. Staff
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3.00 Credits
Project-oriented study of ideas and techniques for design and implementation of computer-based systems. Topics include project organization, interface design, documentation, and verifi cation. Prerequisites: Computer Science 222, 244, and 256. Writing-intensive. Staff
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3.00 Credits
Theoretical aspects of computing. Topics include formal languages (regular, context-free, and context-sensitive grammars), automata (fi nite-state machines, push-down automata, and Turing machines), limitations of respective computational models, and unsolvable problems. Prerequisite: Computer Science 256. Coleman
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3.00 Credits
Orchestral and band repertory: interpretation, technical gestures, survey of graded ensemble literature, rehearsal techniques, programming, and organization. Prerequisite: Music 342.2. Spring. Two 50-minute periods. Barnes, Zerkle
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3.00 Credits
Selection, analysis, rehearsal, and performance of choral repertory. Topics include conducting skills, vocal techniques, choral diction, rehearsal techniques, and score-reading. Prerequisite: Music 334.2. Fall. Two 70-minute periods. Barnes, Zerkle
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3.00 Credits
Instrumental characteristics, nomenclature, and notation; simple orchestral and ensemble arranging. Prerequisite: Music 272.2. Fall. Two 50-minute periods. Lipkis
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