Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Knowledge of formulating a linear optimization problem using linear equation.
• Knowledge of important algorithms such as Dijkstras shortest paths algorithm  and the simplex method.
• Knowledge of the characteristics of 1-2 major metaheuristics and the concept of a heuristic.
• Knowledge of general scheduling and routing problems.

Skills

• Is able to critically evaluate advantages of different models and methods applied to a given problem.
• Can use different tools to solve realistic problems.
• Can formulate a real-life optimization problem with a mathematical programming model.
• Apply scheduling and routing models to optimize automated manufacturing and transportation / logistics systems and their operational execution to achieve desired targets for productivity, process quality etc.

Competences

• Must be able to rationalize and scientifically justify the use of a specific solution method.
• Is able to recognize the value and limitations of a solution method.
• Should be able to communicate with experts the themes related to mathematical programming
• Should be able to develop a model for a realistic problem and to implement a solution method for the problem using the tools from the course
• Should be able to judge the applicability of the different mathematical programming models and corresponding methods.  

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.

Exam

Exams