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Course Criteria
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3.00 Credits
Introduction to database theory. Discussion of data structures, indexed and direct file organizations, models of data including hierarchical, network, and relational. Discussion of data analysis, design, implementation, and database administrator functions. Application of database, data definition languages, data manipulation languages, and/or data manipulation through a host language. Cross-listed as CIS 377. Prereq: a program language, e.g., Visual Basic, Object-Oriented Programming, C#, etc. F
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3.00 Credits
Introduction to formal study of syntax semantics and the logic of programming languages. Features of prominent languages will be examined. Prereq: CS 201, CS 215, CS 301, and CS 311. F
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3.00 Credits
Advanced programming techniques in the microcomputer environment. Windows, networking, and remote communications techniques will be explored. Visual Basic will be used to illustrate the necessary programming techniques to solve these problems. Lab assignments will be used to master language and problem-solving skills. Prereq: CS 288. Sp
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3.00 Credits
This course provides an overview of network management and security. It covers topics in communication technologies, communication design, communication protocols, and communication system planning and development. It includes distributed computing, encryption technology, and collaboration technology. It will introduce security sites representing the state of the art in security. It will cover major security concerns of IP security, network security, security in distributed object systems, security in distributed systems, Web security, e-mail security, viruses, trojans and worms, firewalls, and denials of service. Hands-on assignments with system and firewall configuration. Prereq: CS 201, CS 301, and CS 365. F
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3.00 Credits
A survey of current methods in numerical analysis. Topics will include: polynomial approximation and interpolation, numerical differentiation and integration, numerical solution of differential equations, functional approximation, solution of linear and nonlinear equations, and matrix methods for inverse and eigenvalue problems. Dual listing as MATH 437. Prereq: CS 141, CS 331, MATH 330, and MATH 335. Every third semester.
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3.00 Credits
Introduces students to the fundamental concepts and techniques of artificial intelligence (AI). Prereq: CS 201, CS 215, CS 301. Sp
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3.00 Credits
Provides an intensive, implementation- oriented introduction to the software-development techniques used to create medium-scale interactive applications. Prereq: CS 201, CS 215, and CS 301. F
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3.00 Credits
This course applies computer programming and software engineering concepts, principles, and practices to a comprehensive system development project. A team approach is used to analyze the problem, and then specify, design, implement, test, validate, and deliver a software package that solves the problem. Teams will use software engineering techniques, project management techniques including milestones and formal presentations to create and test the package solution to the system problem. Prereq: CS 201, CS 301, CIS 315, CS 365, CIS 367, CIS 375, and CS/CIS 377, Senior Standing. F
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3.00 Credits
Advanced project in mathematics, business, or other area, done under supervision of instructor in area. Prereq: six hours upper-division computer science courses. Sp
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3.00 Credits
This course introduces the student to the discipline of Operations Research/Management Science (OR/MS) so that he/she may appreciate, understand, and utilize the principal techniques of OR/MS in his/her organizational as well as personal decision-making. The course stresses the use of the scientific methodology in decision- making and problem-solving. Specific topics include decision theory, linear programming, the transportation problem, the assignment problem, network models, and queuing theory. Excel and other computer software are used throughout the course. Prereq: ECON 265, CIS 151, and MATH 215. F, Sp, Su
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