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  • DSCI 5230: Non-Parametric Statistics for Business Research

    3.00 Credits
    University of North Texas

    5230. Non-Parametric Statistics for Business Research. 3 hours. Analysis of business research data that is categorical or ordinal (ranked or scaled) and is therefore not suitable for computations such as means and standard deviations. Topics include measurements of consumer preferences, market segmentation, labor or job grades, racial and sex classifications, and exempt characteristics and performance ratings. Single and multiple sample techniques are discussed. Prerequisite(s): MSCI 5010 or equivalent, or consent of department.
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  • DSCI 5240: Data-Based Decision Support Systems

    3.00 Credits
    University of North Texas

    5240. Data-Based Decision Support Systems. 3 hours. A survey of Data Mining techniques and software is presented. Topics include extracting information from large databases and designing data-based decision support systems. Decision making in a case-embedded business environment is emphasized. Topics include latest advances in Data Mining research. Prerequisite(s): MSCI 5180 or consent of department.
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  • DSCI 5250: Statistical Techniques in Simulation

    3.00 Credits
    University of North Texas

    5250. Statistical Techniques in Simulation. 3 hours. An examination of construction and use of simulation models in business. Random number and process generators, construction of simulation models, introduction to special purpose simulation languages and research project. Prerequisite(s): MSCI 5010 or consent of department.
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  • DSCI 5260: Business Process Analytics

    3.00 Credits
    University of North Texas

    5260. Business Process Analytics. 3 hours. The utilization of problem solving techniques applied to the functional areas of business under risk and uncertainty. Business process analysis concepts, methodologies and tools are utilized in solving real problems in the business, government and academic settings. The foundations for this are business process analysis employing business process software, six sigma analysis and state of the art statistical software. Students will develop and present solutions to the problems chosen for analysis. Emphasis is placed on problem structuring, creating solutions and presentation of solutions. Prerequisite(s): student must be within 9 hours of graduation.
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  • DSCI 5310: Risk and Life-Data Analysis

    3.00 Credits
    University of North Texas

    5310. Risk and Life-Data Analysis. 3 hours. Estimation of competing risks (likelihoods and consequences) using predictive survival analysis and failure models. Applications consider timing of events (occurences of economic events, bankruptcies, introduction of competing products, for example) and their dependency on time dependent covariates (changing demographics, business requirements). Topics include robust methodology allowing for stratification across varying levels of risks. Prerequisite(s): DSCI 5180 or consent of department.
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  • DSCI 5320: Quality Control

    3.00 Credits
    University of North Texas

    5320. Quality Control. 3 hours. Broad coverage of managerial and statistical aspects of quality control, including quality assurance and quality management. Topic coverage includes problem solving tools, process capability assessment, control charts for variables, control charts for attributes and advanced control chart methods. Prerequisite(s): MSCI 5010 or consent of department.
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  • DSCI 5330: Enterprise Applications of Business Intelligence

    3.00 Credits
    University of North Texas

    5330. Enterprise Applications of Business Intelligence. 3 hours. Current issues in the utlization of business intelligence (BI) in business, government, academia and innovation. Topics include the concepts, methodologies and tools to efficiently and effectively implement business intelligence endeavors. Emphasis is placed on current directions of BI as it is relevant to projects underway in business, government and academia across all levels of their value chains. A semester project in an area of BI relevant to as functional area of business is an important component of the course. Prerequisite(s) : DSCI 5180 or consent of department.
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  • DSCI 5340: Predictive Modeling & Business Forecasting

    3.00 Credits
    University of North Texas

    5340. Predictive Modeling & Business Forecasting. 3 hours. This course covers major topics used in developing predictive modeling and applied statistical forecasting models that are of major interest to the business, government, and academia. These include exploring the calibration of models, the estimation of seasonal indices, and the selection of variables to generate operational business forecasts. Topics in this course can assist business professionals in utilizing historical patterns to build a more constructive view of their future. The course will also overview how these topics can be used with a data capture, integration and information deployment capabilities to ensure more productive decisions and more accurate planning. Modern forecasting techniques are covered for the evaluation of sophisticated business models ued to make intelligent decisions in marketing, finance, personnel manament, production scheduling, process control, facilities management and strategic planning. Prerequisite(s) : DSCI 5180 or consent of department.
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  • DSCI 5690: Topics in Decision Sciences

    3.00 Credits
    University of North Texas

    5690. Topics in Decision Sciences. 3 hours. Current issues dealing with the development and use of decision science models in business. May be repeated for credit as topics vary. Prerequisite(s) : DSCI 5180 or consent of department.
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  • DSCI 5900: Special Problems

    1.00 - 3.00 Credits
    University of North Texas

    5900. Special Problems. 1-3 hours each. Open to graduate students who are capable of developing a problem independently. Problem chosen by the student and developed through conferences and activities under the direction of the instructor. Prerequisite(s): approved applications for special problems/independent research/dissertation credit must be submitted to the COBA Student Advising Office prior to registration.
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