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Course Criteria
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3.00 Credits
This course provides intensive study of the design, analysis, and verification of algorithms. Applications are drawn from a wide variety of mathematical and computer science problems. Prerequisites: CS 202 Discrete Structures I and CS 209 Data Structures
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3.00 Credits
This course focuses on design and implementation concepts in the translation of programming languages. The course covers the architecture of multiphase compilers, including lexical analysis, parsing, and code generation. Tools used in the automatic generation of compilers are studied. A project involving the development of various phases of a compiler will be implemented. Prerequisite: CS 209 Data Structures
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3.00 Credits
This course is a survey of concepts and problems in artificial intelligence research, including natural language processing, knowledge representation, and automatic deduction. Prerequisite: CS 202 Discrete Structures I
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3.00 Credits
This is a survey of theoretical models of computation, notably the Turing machine model, the Markov algorithm model and register machine model, as well as equivalence results relating those models. Considerations of efficiency (complexity theory) are also introduced with an emphasis upon the use of big-O notation to describe the time/space requirements of specific machines. Simulation software is used extensively, thereby enabling students to design and run their own abstract machines. This is an essential course for students interested in pursuing graduate study. Prerequisite: CS 202 Discrete Structures I
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3.00 Credits
Topics covered in the course include handson use of production based, rule-based, and frame-based expert system shells. The course discusses the current limitations of expert systems. Prerequisite: CS 202 Discrete Structures I
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3.00 Credits
This course presents an overview of data communications and networking concepts. Topics include signal concepts, modulation, synchronous and asynchronous transmission, multiplexing signals, modems, hubs, routers, gateways, error detection, network configurations, open system interconnect protocols, TCP/IP, IPv4/IPv6, LAN, ISDN, frame relay, ATM, SONET, Fast Ethernet, network security, DMZ, VLAN/VPN, compression and voice over IP. Medias such as coax, fiber, and wireless are discussed. Each student is assigned a project to present in class. Prerequisite: CS 102 Fundamentals of Computer Science II
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3.00 Credits
This course introduces students to objectoriented design and analysis contrasted with traditional approaches. The course focuses on the issues involved in the transition of object-oriented design. Prerequisite: CS 209 Data Structures
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3.00 Credits
Please consult the Graduate Catalog for course description.
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3.00 Credits
Please consult the Graduate Catalog for course description.
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3.00 Credits
Please consult the Graduate Catalog for course description.
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