This course is an introduction to quantitative models for managerial decision-making in a complex and dynamic business environment. Students learn to develop linear, integer, non-linear, and multi-criteria optimization models; perform sensitivity analysis; develop heuristics; analyze decisions under uncertainty; and conduct scenario analysis using simulation. While the skills developed in this course can be applied to a very broad range of business problems, the practice examples and student exercises will focus on the following areas: human resources, logistics and supply chain optimization, capital budgeting, asset management, and portfolio analysis. The course relies heavily on the use of Python, Excel and Gurobi solver.