Math­em­at­ic­al Op­tim­iz­a­tion: Mod­els, Meth­ods and Ap­plic­a­tions

Course content

This course aims to enhance your theoretical knowledge of and practical skills in Optimization tools. The course uses computer software to illustrate how to apply the methodologies we introduce. The course is multidisciplinary in nature with links to areas such as economics, finance, marketing, and operations management. The structure of the course is as follows:

          Mixed Integer Linear Programming

• Modelling
• Methods
• Applications

          Nonlinear Programming

• Modelling
• Methods
• Applications

          Multiobjective Optimization

• The Pareto Frontier
• Methods
• Applications

          Stochastic and Robust Optimization

• Modelling
• Methods
• Applications

The course’s development of personal competences:

During the course, and through a hands-on approach supported by optimization theory, students will develop quantitative skills needed for Decision Making, as well as learn to appreciate the implications of multiple objectives and uncertainty in Decision Making and the need for flexible and robust solutions.