22. bis 27. Juli 2019

The three or six days-course teaches the foundations of mathematical optimization with a special focus on the solution of planning problems from an industrial environment. It gives planners all the necessary tools to formulate and solve optimization tasks as mathematical models, covering both linear and integer problems.
At the hand of many practical and detailed examples, the participants learn to build optimization models for problems occurring in logistics and transport, production, energy systems, telecommunication and many further contexts. They obtain a basic understanding of the most important algorithms in linear and integer optimization: the simplex method and the branch-and-bound scheme.
In extensive hands-on training sessions, they acquire the ability to use state-of-the-art optimization software to solve large-scale optimization tasks and to interpret the computed solutions in terms of the application context at hand.

As an add-on, university experts give advice for the beneficial implementation of optimization approaches in small and major companies, drawing from vast their experience in industrial cooperations over the last 20 years.

Target group:
Planning professionals at an operational or management level, data scientists and consultants working with quantitative methods, interested people with a background in mathematical, natural, technical or economic sciences

Prerequisites:
Basic knowledge in linear algebra, especially the solution of systems of linear equations and elementary matrix computations. Elementary programming skills are helpful. If possible, participants should bring their own laptop with administrator rights to install the software used in this course. It is also possible to work with computers provided by FAU during this course.