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Course Criteria
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3.00 Credits
A study of the fundamental principles involved in the construction of computer simulation models. Topics included are: random number generators, model construction, queuing models, and inventory models. Prerequisite: MTH 2323 - Statistical Methods or MTH 3163 - Probability & Statistics, and CSC 1114 - Foundations of Computer Science II or consent of department
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3.00 Credits
A study of the principles governing client/server programming. Topics included are: client/server model, concurrency, protocols and interfaces, issues in software design, connectionless vs. connection-oriented servers, iterative vs. concurrent servers, RPCs, and selected case studies. Prerequisite: CSC 2203 - Data Structures.
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3.00 Credits
A study of the fundamental principles involved in data communication and a general overview of various data communication systems. Topics included are baud rates, modem controls, protocols, error detection and correction, communication line characteristics, synchronous and asynchronous communication, application interface software, network systems, analysis of communication systems. Prerequisite: CSC 3443 - Computer Organization.
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3.00 Credits
A study of Local Area Network Standards and an implementation of a LAN. Topics covered are: LAN topologies, transmission media, access methods, OSI layer implementations, NOS installation, management, print servers, network management software. Prerequisites: CSC 3443 - Computer Organization or consent of Department.
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3.00 Credits
An introduction to numerical methods of problem solving to include error analysis, interpolation procedures, differentiation, integration, solutions of non-linear and differential equations, and approximation of functions. Prerequisites: MTH 2045 - Calculus II and CSC 1104 - Foundations of Computer Science I.
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1.00 - 3.00 Credits
Independent study in an area of computer science selected by the student and faculty advisor. Credit will vary from one to three hours. May be repeated. Prerequisite: consent of Department.
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3.00 Credits
Variable content course covering current and advanced topics in computer science. May be repeated with change in content. Prerequisite: consent of Department.
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3.00 Credits
A project course requiring the computer science student to develop and implement a capstone project requiring the integration of software, hardware components, and human factors. Software engineering methodologies along with good written and verbal communications skills will be required. Program assessment tools will be administered. Prerequisites: CSC 3463 - Software Engineering, CSC 3113 - Database Theory, and CSC 3193 - Operating Systems
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3.00 Credits
An introduction to machine intelligence. Topics covered include: AI languages, problem solving strategies, searching, knowledge representations, natural language processing, machine learning, expert systems, neural networks, and robotics. Prerequisite: CSC 3223 - Algorithm Analysis.
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3.00 Credits
A course that provides an introduction to basic 3D computer graphics programming techniques. Topics included are: OpenGL library, user interface design, projection and transformations, basic animation, etc. Prerequisite: CSC 3223 - Algorithm Analysis.
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