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Course Criteria
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4.00 Credits
Characteristics and applications of various networking technologies will be studied. Introduction to communication and network architectures, data communication concepts, local area network technologies, internetworking and performance issues in computer networks. Devices and means of data communication, error detection and recovery mechanisms, data link protocols, routing and congestion control algorithms, transport and application protocols, and network level services are discussed. Prerequisite: Courses 212 and 219. Enrollment limited to 16 students. O. Izmirli
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4.00 Credits
Introduces a breadth of concepts used by researchers in their attempt to develop an artificial mind. General areas covered include search techniques, propositional and first order logic, representation, production systems, planning, learning and connectionist systems (neutral networks). Prerequisite: Course 212 or permission of the instructor. G. Parker
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4.00 Credits
This course will present concepts and techniques for semantic natural language processing, including knowledge representation, understanding, generation, and inference. Focusing on story-understanding and conversation, it will explore techniques for understanding increasingly complex language involving routine events, plans, goals, and goal failures. A series of programming projects will be assigned. Prerequisite: Course 212. Staff
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4.00 Credits
An introduction to the theory of programming languages, formal syntax, input and output, recursion, branching and looping, parameter binding and passing, data typing and subprograms. Several languages will be studied. Prerequisite: Courses 212 or 219. Staff
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4.00 Credits
A hands-on course with three foci: network programming using sockets; networking tools; transport layer technologies. It is equally beneficial to students who have had Computer Science 315 and to those who have not. Students will complete assignments using newly learned languages (such as C, tcl, awk, etc.). Prerequisite: Course 212. Enrollment limited to 16 students. Staff
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4.00 Credits
An introduction to computer operating systems. The primary functions of an operating system, such as process management, memory management, and device management, will be covered. Other relevant issues, such as security, networking, and distributed systems, will be discussed. Prerequisite: Courses 212 and 219. Staff
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4.00 Credits
Fundamental concepts of digital sound synthesis and manipulation in conjunction with music composition are presented. These concepts are introduced and put to use in composition projects. Examples from music literature are used as illustrations. A programmatic approach is employed in which the MAX/MSP environment is used. This is the same course as Music 336. Prerequisite: Open to sophomores, juniors, and seniors who have had Computer Science 104 or 107 or 111 andMusic 104 or 131, or permission of the instructors. Enrollment limited to 15 students. O. Izmirli and A. Kreiger
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4.00 Credits
Individual Study
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4.00 Credits
Computational methods that display aspects of intelligent behavior observed in humans. Topics may include fuzzy logic, an alternative to traditional formal logic; artificial neural networks, networks of simple arithmetic computing elements that abstractly simulate neurons; and genetic algorithms, based on the laws of survival of the fittest and heredity. How these methods deal with vague, imprecise, and uncertain knowledge; learn from experience; self-organize; and adapt their behavior in response to changing conditions to solve real world problems. Utilization of projects and the discussion of technical papers to cover methods of computational intelligence and their use. Prerequisite: Course 304 or 310 or 316 or 320. Enrollment limited to 12 students. G. Parker
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4.00 Credits
Individual Study
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