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Course Criteria
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5.00 Credits
3 (3 + 0) Prerequisite: CIS 2110 This course is a study of the transmission of data, voice, and video including: transmission systems and associated hardware and software; types of networks; introduction to the OSI model, LANs and WANs; and applications of networks.
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5.00 Credits
3 (3 + 0) Prerequisite: CIS 2110 This course introduces the student to RAD tools for contemporary systems development within a GUI development environment. It includes the structure and processes of a high level programming language and familiarizes the student with current development environments for Web and Windows applications, including their capabilities and limitations.
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5.00 Credits
3 (3 + 0) Prerequisite: CIS 2010 This is a software solutions microcomputer course that teaches problem solving at the business operational level using advanced applications of word processing, presentation graphics, electronic spreadsheets, and database management. Hands-on practice with the advanced Microsoft application suite and computer-based examinations are included.
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5.00 Credits
3 (3 + 0) Prerequisite: CIS 3230 This course presents the technology, architecture, and interconnection of Local Area Networks and Wide Area Networks. The advantages and disadvantages of each technology will be discussed so that well-informed decisions can be made regarding the design of communication networks.
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5.00 Credits
3 (3 + 0) Prerequisite: CIS 2010 and CIS 2110 This is an end-user-oriented microcomputer operating systems course which teaches advanced concepts of the most popular operating systems, both networked and stand-alone. The course includes instruction in theory plus hands-on experience with each operating system.
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5.00 Credits
3 (3 + 0) Prerequisite: MTH 1310, MTH 1320, Junior level standing This is a course in the application of statistical inference and translation of quantitative data into information which can be used in business decision making. This course will cover the topics of index numbers, learning curves, confidence intervals, tests of hypothesis, quality control, and regression and correlation analysis, etc., in the context of production and operations management skills needed by American industry.
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5.00 Credits
3 (3 + 0) Prerequisite: CIS 2300, MTH 1320 or MTH 1410 This course is an introduction to business management science techniques. The course covers the topics of linear programming, project scheduling, inventory models, decision analysis, queuing theory, and simulation, in the context of management decision-making skills.
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5.00 Credits
3 (3 + 0) Prerequisite: CIS 2300 This course is a study of advanced statistical methods and techniques and their application in business decision-making situations. This course will cover the following topics: inferences about population variances, tests of goodness of fit and independence, analysis of variance, experimental design, simple linear regression, multiple regression analysis, regression model building, forecasting, and nonparametric methods.
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5.00 Credits
3 (3 + 0) Prerequisite: (CIS 3060 or ACC 3300) and CIS 2300 This course covers the concepts of data warehousing and data mining, and how they are used to convert data into strategic business information. It discusses the design, architecture, planning, and project management of a data warehouse. Data mining techniques (classification, association, genetic algorithms, machine learning, etc.) are discussed as a way to discover useful relationships among data.
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5.00 Credits
3 (3 + 0) Prerequisite: CIS 3230 This course covers a broad range of topics in security for networked and inter networked computer systems. It examines security and integrity objectives in terms of high-level policy and presents security services used to address those requirements. Network security architectures are analyzed to insure that critical security functions are protected from unauthorized access and modification. Access control in networked systems is examined.
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