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DSC 602: Graduate Survey in Statistics
2.00 Credits
Miami University-Hamilton
A survey of basic statistics for analysis of business problems; designed for students in the fulltime MBA program.
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DSC 602 - Graduate Survey in Statistics
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DSC 615: Statistical Methods for Managerial Decision Making
3.00 Credits
Miami University-Hamilton
Discussion of statistical reasoning for managers and statistical methodology most useful for solving business problems. Process control and capability. Simple and multiple regression analysis. Residual analysis and model building. Time series forecasting. Experimental design. For full-time M.B.A. students only.
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DSC 615 - Statistical Methods for Managerial Decision Making
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DSC 616: Quantitative Models for Business Decision Making
3.00 Credits
Miami University-Hamilton
Presents process of modeling and using quantitative models as an aid for solving business problems. Provides the foundation for employment of modeling and models in all functional areas of business. The pedagogy encourages integration of quantitative methods with content of functional areas of business. For full-time M.B.A. students only.
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DSC 616 - Quantitative Models for Business Decision Making
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DSC 618: Business Operations Research
3.00 Credits
Miami University-Hamilton
Study and critical evaluation of operations research techniques from a business administrative viewpoint. Prerequisite: DSC 601, 602, or equivalent.
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DSC 618 - Business Operations Research
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DSC 619: Statistical Modeling for Business Decision Making
3.00 Credits
Miami University-Hamilton
Applied presentation of statistical techniques employed in business decision making. Analysis and problem solving using computer based statistical programs. Prerequisite: DSC 601, 602, or equivalent.
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DSC 619 - Statistical Modeling for Business Decision Making
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DSC 671: Statistical Process Analysis and Improvement for Managers
3.00 Credits
Miami University-Hamilton
Statistical methods for analyzing and improving business processes. Advanced control chart methods for eliminating assignable cause variation. Cusum and EWMA charts. Control procedures for autocorrelated process data. Experimental design methods for reducing common cause variation. One-way and two-way ANOVA. Fractional factorial designs. Prerequisite: DSC 615.
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DSC 671 - Statistical Process Analysis and Improvement for Managers
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DSC 681: Special Studies in Decision Sciences
1.00 - 3.00 Credits
Miami University-Hamilton
Intensive reading or research in a selected field of advanced decision sciences. Prerequisite: graduate standing and permission of instructor.
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DSC 681 - Special Studies in Decision Sciences
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DSC 700: Thesis
3.00 Credits
Miami University-Hamilton
(DST-Arts and Science)
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DSC 700 - Thesis
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EAS 101: Computing,Engineering & Society
1.00 Credits
Miami University-Hamilton
This course introduces students to the computing and engineering professions and their role in society. Students will explore the unique features of different engineering and computing disciplines as well as the disciplines' common bonds, such as problem solving, math and science, teamwork, and communication. Students will examine ethical and societal issues related to the disciplines and their impact on society and the world. In addition, the students will be engaged in an active forum for dissemination and discussion of ideas, topics, and issues related to their learning at Miami, the School, and the community.
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EAS 101 - Computing,Engineering & Society
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EAS 102: Problem Solving and Design
3.00 Credits
Miami University-Hamilton
This course introduces an approach to problem solving for engineering students. The students will learn systematic approaches to problem solving. Topics covered include: problem identification, requirement analysis, research on existing and alternative solutions, and quantitative analysis of solutions, synthesis and evaluation of data, prototyping, and testing. Students will also develop their oral and written communication skills as well as team work skills.
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EAS 102 - Problem Solving and Design
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