This course is concerned with the final frontier of business analytics, and develops student knowledge of the uses of descriptive statistics and forecasts to find and suggest optimal courses of action, focusing on the development and use of optimization and Monte-Carlo simulation models for making quantitative business decisions. Optimization topics include linear and mixed-integer programming, network flow optimization, and nonlinear optimization. Application areas include operations & supply chain management, marketing, and finance. Prereq: ADMN 950.

Uses the evidence from behavioral science to develop an understanding of individual and work group dynamics in relation to personal and group effectiveness in diverse organizations. Case studies, group projects and personal application will provide students with the opportunity to put theory into practice as they learn to understand individual differences, lead teams, enhance their personal influence, and plan to lead employees, teams and organizations during times of rapid change.

An introduction to the preparation and interpretation of financial information, with emphasis on the use of accounting information for management decision-making. It highlights the guiding principles by which accounting reflects the underlying economic events. It also focuses on reporting and measurement issues that help managers make better decisions.

This course provides a foundation for dealing with managerial decisions about technology and operations issues. Based on the premise that the technology and operations can be a significant source of competitive advantage for a firm. Prepares students to identify and implement operating improvements that directly affect firm performance. Prereq: ADMN 950.