Logistics and Supply Chain
Application of statistics, optimization, and probability models to transportation, network, and other logistics problems.
Application of statistics, optimization, and probability models to transportation, network, and other logistics problems.
Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis
Regression, time series, and other forecasting models and their applications in various fields of science and engineering
Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis
Optimization, modeling and solution techniques for very large and/or complex problems, algorithmic solution methods and heuristics, and optimization software
Fundamental concepts necessary for the design and use of modern database systems in today’s large scale enterprise applications.
Tools and techniques for analyzing and visualizing data at scale, with an emphasis on how to complement computation and visualization to perform effective an...
Process improvement, and machine learning algorithms and their applications to real-world data
Fundamentals include financial accounting, corporate finance and portfolio optimization. Detailed analysis of risk and return, capital budgeting, and securit...