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Course Criteria
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3.00 Credits
3 hours; 3 credits The theory and application of statistical control techniques to industrial and nonindustrial processes. The theory of the control chart method, including sensitivity measurement and the design of process control systems. Acceptance sampling, including both variables and attributes, is surveyed. Operating characteristic curves and various criteria are also included. Statistical and mathematical concepts are explored. Prerequisite: STA 3154.
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3.00 Credits
3 hours; 3 credits This course focuses on microcomputers and their application as a decision support tool to business problem solving. Students study advanced features of widely used productivity software (desktop publishing, spreadsheet, database management) and apply them to solve a variety of common business problems. The course is oriented toward hands-on computer use for case problem solving. Topics covered also include evaluation and selection of microcomputer systems, peripherals, system software, and application software for business applications. Prerequisite: CIS 2200. Not available to CIS majors.
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3.00 Credits
3 hours; 3 credits This course provides students with the background to design, implement, and use database management systems. It introduces, in a comparative framework, the structure, requirements, functions, and evolution of database management systems. After covering conceptual data modeling and the entity relationship data model, the course focuses on the relational data model. Students learn abstract languages, such as relational algebra and relational calculus, including their commercial implementations like SQL, QBE, etc. Database design is covered and concepts of data integrity, security, privacy, and concurrence control are introduced. Students implement a major database application project. Prerequisite: CIS 2200.
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3.00 Credits
3 hours; 3 credits The objective of this course is to provide a foundation for critical thinking and decision making while introducing the student of accounting to some of the quantitative tools necessary for his/her profession. The foundations for critical thinking are developed by discussing the various activities typically employed in the decision-making process, par - ticularly when dealing with complex situations containing uncertainties. All aspects of the modeling process are discussed. One vehicle for establishing this conceptual framework is the tools of decision trees and influence diagrams, since both facilitate, by visual means, an understanding of the complexities and interrelationships of the relevant factors of a decision problem. Subsequently, the student will be introduced to the statistical concepts of sampling in auditing, including attribute and variable sampling, different types of sampling schemes, accounting estimation, and auditing testing. Simple linear and multiple regression models for the estimation of cost functions are discussed in detail, including assumptions, model development and evaluation, and interpretation of output. The use of linear programming for the optimal allocation of scarce resources within an organization is discussed, and particular emphasis is placed on the eco - nomic interpretation of the linear programming output with regard to valuation, acquisition, and reallocation of scarce resources. Students are required to use the computer to solve and analyze regression and linear programming problems. (Students who take OPR/STA 3300 may not receive credit for OPR 3450.) Prerequisites: STA 2000 and ACC 2101.
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3.00 Credits
3 hours; 3 credits This course investigates the technologies used in e-business. Foundation material is developed, covering the basic infra - structure of the Internet and the Web along with supporting hardware and software. This is followed by exploration of the latest technologies available. Students study how the tech - nologies work and how they are used in a wide variety of businesses. Discussions of the strategic implications of these technologies for different types of businesses are incorporated. Prerequisite: CIS 2200.
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3.00 Credits
3 hours; 3 credits An introductory course in operations research. Emphasis is placed on problem formulation, model construction, methodology, and application to business decision problems. Both deterministic and probabilistic models will be discussed. Topics covered will include statistical decision making under uncertainty, inventory models, linear programming, critical path analysis, and simulation models. (MGT 3500 may not be used to satisfy the requirement of OPR 3450 for statistics, computer information systems, and accounting majors. Students may not receive credit for both OPR 3450 and OPR/STA 3300.) Prerequisites: STA 2000 and BBA math requirement.
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3.00 Credits
3 hours; 3 credits A more detailed investigation of operations research models, including those discussed in OPR 3450. Emphasis will be on model building, theory, and solution techniques. (Offered during the day in the fall.) Prerequisites: OPR 3450 and BBA math requirement. Students interested in this course should see a department advisor.
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3.00 Credits
3 hours; 3 credits The course deals with the construction of simulation models and their application to problem solving. The techniques of both Monte Carlo and stochastic simulation models will be covered. Various simulation languages will be discussed, and students will construct and run simulation programs. Applications in various areas of business and economics will be covered. Prerequisites: CIS 3100 and OPR 3450. Students interested in this course should see a department advisor.
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3.00 Credits
3 hours; 3 credits A study of the techniques of Bayesian statistical inference and decision making. The course is designed to introduce the student to the general concepts of the Bayesian approach- utilization of all available information. Specific topics will include probability-objective and subjective; discrete and continuous models; prior and posterior analysis; decision theory; utility and decision making; value of sample information; and pre-posterior analysis. Differences and similarities between classical and Bayesian analysis are discussed. All areas of decision making will be applied to business problems. Prerequisites: STA 3154 and OPR 3450. Students interested in this course should see a department advisor.
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3.00 Credits
3 hours; 3 credits The theory of parametric and nonparametric tests of hypo - theses is examined. Criteria for suitability of parametric or nonparametric methods are developed for various statistical models. These include one-sample tests for location, twosample tests for location (related and independent), twosample tests for dispersion, and k-sample tests for location (related and independent). In addition, tests for association, tests for randomness, tests for goodness of fit, and methods of paired comparisons are developed. Applications will be made to the behavioral, social, and life sciences. Prerequisite: STA 3154.
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