INTERMEDIATE QUANTITATIVE METHODS
Année du cours : 2 année(s)
Etablissement : IÉSEG School of Management
Langue : English
Formation(s) dans laquelle/lesquelles le cours apparait :
Période : S1
strong background in applied mathematics including calculus and linear algebra.
strong background in probability and statistics.
knowledge in algorithms will be helpful
understand basic theoretical principles in optimization;
understand formulation of optimization models;
understand solution methods in optimization;
understand methods of sensitivity analysis and post processing of results
apply optimization techniques to a wide range of business problems
implement practical cases, by using EXCEL SOLVER
Linear Programming (LP) and allocation of resources
Maximization then Minimization problems
Graphical LP Minimization and Maximization solution
Linear Programming-Simplex Method for Maximizing
Linear Programming-Big-M Method for Optimizing
Sensitivity Analysis: Changes in Objective Function
Duality
