Aims

This is an advanced course in applied optimization and modeling.  We start from a number of concrete industrial application domains and cases, and we show how to build mathematical models capturing the essentials of these cases.  The primary aim is to train the students' modeling skills in solving practical cases.  Solution techniques are only discussed insofar different modeling choices have an effect on the solvability of the underlying problem.

Special attention is paid to understanding, modelling and solving basic problem settings in planning under uncertainty.

Previous knowledge

Linear and combinatorial optimization (LP, integer programming, etc.), operations research

Is included in these courses of study

• Master handelsingenieur (Leuven) 120 ects.
• Master handelsingenieur (Leuven) (Major: Kwantitatieve methoden) 120 ects.
• Master handelsingenieur (Leuven) (Minor: Kwantitatieve methoden) 120 ects.
• Master of Business Engineering (Leuven) 120 ects.
• Master of Business Engineering (Leuven) (Major: Quantitative Methods for Decision Making) 120 ects.
• Master of Business Engineering (Leuven) (Minor: Quantitative Methods for Decision Making) 120 ects.
• Master handelsingenieur: bidiplomering UCLouvain (inkomend) (Leuven e.a.) (Opleidingsonderdelen KU Leuven: Major: Kwantitatieve methoden) 126 ects.
• Master of Business Engineering: Double Degree UCLouvain (incoming) (Leuven et al) (Courses KU Leuven: Major: Quantitative Methods for Decision Making) 126 ects.
• Master of Business Engineering: Double Degree UCLouvain (outgoing) (Leuven et al) (Courses KU Leuven: Major: Quantitative Methods for Decision Making) 127 ects.
• Master of Mobility and Supply Chain Engineering (Leuven) 120 ects.
• Courses for Exchange Students Faculty of Economics and Business (Leuven)
• Master of Management Engineering (Brussels) 120 ects.
• Master of Management Engineering (Brussels) (Major Quantitative Methods for Decision Making) 120 ects.