Soheil Sibdari, PhD

Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.
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Techniques for the analysis and improvement of the value-adding activities of an organization. The course develops operational decision-making skills used under real-life conditions of uncertainty & incomplete information. Through analyzing cases & problems, exercising judgement, & resolving difficult challenges, students learn how to become leaders in the efficient & effective management of processes & projects. This course is relevant for managers in any manufacturing or service line of work who are concerned with continuous improvement.
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Techniques for the analysis and improvement of the value-adding activities of an organization. The course develops operational decision-making skills used under real-life conditions of uncertainty & incomplete information. Through analyzing cases & problems, exercising judgement, & resolving difficult challenges, students learn how to become leaders in the efficient & effective management of processes & projects. This course is relevant for managers in any manufacturing or service line of work who are concerned with continuous improvement.
Register for this course.

An exploration of economic analysis and corporate finance concepts when it interacts with the adoption of new technology. Students are required to have basic macroeconomic and finance knowledge. The course considers new technology evaluation; cost of capital; firm valuation with new technology; the financial decision interaction with technology choice; strategic consideration and economic analysis; the short and long term economic analysis of technology adoption. The concepts that are analyzed in relation to organization problems are market domination, risk profile and analysis, the resolution of new technology risk, and market efficiency. The validity of analytical tools is tested based on the analysis of financial instruments and sustainable and nonsustainable market inefficiencies.
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Principles and practices underlying the continuous improvement of quality in organizations. Students will be introduced to the concept of total quality management and learn to appreciate the importance of quality as a competitive strategy. Particular attention is given to philosophies and methods of organizing for quality and to quality improvement tools, including statistical process control.
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Risk reduction and quality improvement in supply chains. The risk management process is a systematic and proactive approach to operate projects or manage a supply chain while decreasing uncertainties. The result of risk reduction includes decreasing project time and cost, and improving quality, satisfaction, and success. The course will help students to implement risk management in a work environment.
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