Logistics and Supply Chain
Application of statistics, optimization, and probability models to transportation, network, and other logistics problems.
Logistics and Supply Chain
Application of statistics, optimization, and probability models to transportation, network, and other logistics problems.
Tools:
- Gurobi
- ILOG Cplex
- SAS
- R
- Microsoft Excel
Courses:
- ISYE 4111: Advanced Supply Chain Logistics
- ISYE 4301: Supply Chain Economics
- ISYE 3103: Introduction to Supply Chain Modeling: Logistics
- ISYE 3232: Stochastic Manufacturing and Service Systems
2020
Simulation
Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis
Regression and Forecasting
Regression, time series, and other forecasting models and their applications in various fields of science and engineering
Process Improvement
Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis
Optimization
Optimization, modeling and solution techniques for very large and/or complex problems, algorithmic solution methods and heuristics, and optimization software
Database Design
Fundamental concepts necessary for the design and use of modern database systems in today’s large scale enterprise applications.
Data Visualization
Tools and techniques for analyzing and visualizing data at scale, with an emphasis on how to complement computation and visualization to perform effective an...
Data Analysis
Process improvement, and machine learning algorithms and their applications to real-world data
Financial Analysis
Fundamentals include financial accounting, corporate finance and portfolio optimization. Detailed analysis of risk and return, capital budgeting, and securit...