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Course Criteria
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3.00 Credits
The goal of this course is to develop a comprehensive understanding of the use of behavioral science research methods and theories for program and intervention evaluations. Topics given special emphasis include: measurement strategies and problems, needs assessment, experimental and quasi-experimental field designs, qualitative methods, benefit-cost analysis, statistical approaches to modeling bias and the use of evaluation results in the policy process. Prerequisites: SOC 201 or PSY 201 or PSC 202 or IRL 441-442 or ECO 325 and STA 201-202 or MTH 111 -11 2 or permission of instructor.
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3.00 Credits
Course covers the principles, procedures and function of auditing. Problem solving involves the application of auditing principles, which can be studied, analyzed and worked on by the students in order to acquire, within limits, a basic understanding of auditing practices, procedures and responsibilities. A computer simulation is used to illustrate statistical sampling techniques. Prerequisites: ACT 301-302.
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3.00 Credits
This course provides a deeper understanding of select topics covered in the first auditing course (ACT 405). Topics include the demand for auditing services, auditor decision-making, statistical sampling and information systems auditing. Prerequisites: C or above in ACT 405.
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3.00 Credits
Provides instruction by application of federal tax laws to incomes of corporations. Tax returns are prepared. Emphasizes research and analysis. Prerequisite: ACT 310.
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3.00 Credits
Provides instruction by applying federal income tax laws to incomes of partnerships, subchapter S corporations, trusts and estates. Extensive tax research and analysis is required in each of these areas. Prerequisites: ACT 310, 410.
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3.00 Credits
This course is a seminar in accounting theory and research. The topics include both historical and current readings on: research methods, revenue recognition, assets, liabilities, equity, valuation issues, Positive Accounting Theory and accounting numbers and their impact upon financial markets. Prerequisite: C or above in ACT 401.
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3.00 Credits
Courses in this series offer an in-depth exploration of specific issues within the field of accounting, as well as topics of current interest to the instructor and students. Prerequisites: junior or senior standing, permission of the instructor.
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3.00 Credits
This course introduces quantitative modeling and analysis. The course includes applications from different disciplines of business, including finance, marketing, information systems and operations. The course focuses on diagnosing and solving business problems based on quantitative analysis. Modeling methods and techniques are introduced in the context of specific business situations. These techniques include forecasting, optimization, project management, supply chain management and planning and system simulation. The course has a significant hands-on applied component and is taught in a computer lab. Prerequisite: STA 201.
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3.00 Credits
This course is designed to introduce the basic concepts and methods for modeling and forecasting both univariate and multivariate time-ordered data. Methods studied include univariate Box-Jenkins/ARIMA analysis and transfer function modeling. Forecasting methods will be compared and applied to case studies using real-world data in economics, finance and marketing with emphasis on computer demonstrations of the forecasting methods. These case studies illustrate the different forecasting models that are appropriate in a variety of business settings, as well as the problems that typically arise from applying those models in practice. Statistical properties of the forecasts and error analyses will be emphasized. The course is taught in a computer lab. Prerequisite: STA 202.
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3.00 Credits
Industrial supply chains are an integral part of contemporary business practices. This course will examine key issues related to the design and management of supply chains. It will include discussion on the integration of various parts of the supply chain, including suppliers, factories, distribution centers, warehouses and retailers. Theories related to the efficient distribution of products to customers will be introduced. Also, management techniques addressing tradeoffs between cost and service will be discussed. Much of the course concepts will be covered through case studies and simulations. The course is taught in a computer lab. Prerequisites: STA 202 and AMA 301.
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