1 : Introduction to mathematical modelling
2 : Implementation of an optimization model using a dedicated software
3 : Linear models
4 : Network models
5 : Integer linear models and linearization techniques
6: Applications (e.g. location problems distribution problems scheduling problems etc.)
7 : Optimization models with multiple objectives
8 : Stochastic programming models
9 : Dynamic programming models