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CS 401: Introduction to Algorithms
3.00 Credits
New Jersey City University
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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CS 401 - Introduction to Algorithms
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CS 402: Compiler Design
3.00 Credits
New Jersey City University
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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CS 402 - Compiler Design
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CS 404: Artificial Intelligence
3.00 Credits
New Jersey City University
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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CS 404 - Artificial Intelligence
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CS 405: Theory of Computability
3.00 Credits
New Jersey City University
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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CS 405 - Theory of Computability
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CS 406: An Introduction to Expert Systems
3.00 Credits
New Jersey City University
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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CS 406 - An Introduction to Expert Systems
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CS 410: Telecommunications and Networks
3.00 Credits
New Jersey City University
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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CS 410 - Telecommunications and Networks
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CS 417: Object-Oriented Methodologies
3.00 Credits
New Jersey City University
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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CS 417 - Object-Oriented Methodologies
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CS 505: Microcomputers for Elementary Teachers I
3.00 Credits
New Jersey City University
Please consult the Graduate Catalog for course description.
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CS 505 - Microcomputers for Elementary Teachers I
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CS 506: Microcomputers for Elementary Teachers II
3.00 Credits
New Jersey City University
Please consult the Graduate Catalog for course description.
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CS 506 - Microcomputers for Elementary Teachers II
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CS 510: Microcomputers for Secondary School Teachers I
3.00 Credits
New Jersey City University
Please consult the Graduate Catalog for course description.
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CS 510 - Microcomputers for Secondary School Teachers I
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