After successful completion of the course, students are able to solve problems algorithmically.

• Students develop an understanding for processes (i.e. sequences of activities) and the spatial scale on which they are happening (concerning past, present and future).
• The student is able to simplify complex problems into (algortihmically) solveable constituents. He/She is able to model planning problems as models and simulate them in order to gain insight into performance.
• The results are compared using visualization as means.
• Students will have the competence of rapidly developing simulation models in order to answer "what-if" questions. As a matter of fact, this knowledge can act as basis for envisioning novel spatial methods that aid in decision-making.

• Processes: Recording and modelling temporal sequences of (spatial) activities (e.g. as flow-char, Business Process Modeling Notation).  
• Simulation: Model - Parameters - Solution Space, using a hands-on approach by programming with agent-based simulation software
• Visualization: Comparison and discussion of simulation results as means for decision-making in the planning process

Introduction to NetLogo, an agent-based programming and simulation environment.

Developing a "script" according to the needs and specifications of the student.

Discussion of the results.

• Presence
• Discussion about the meaningful use of the algorithm
• Presentation