INF-30806 Advanced Modelling and Simulation

Vak

Studiepunten 6.00

Language of instruction:

English

Assumed knowledge on:

Elementary Programming and Modelling (INF-20306) or Models for Forest and Nature Conservation (INF-21806) or Signals and Systems Modelling (SCO-20306)

Continuation courses:

minor/major Toegepaste Informatiekunde (Information Technology)

Contents:

In simulation, one can employ various categories of models, for example continuous, discrete-event, combined continuous and discrete, or multi-agent models.
Most students are already knowledgeable about continuous models. In this course, students will learn to assess the quality of continuous models. Several methods and techniques are available to analyse a model, such as mass balance check, robustness test, global model analysis test, sensitivity analysis test, calibration and identification, uncertainty analysis, and determination of model scope. The focus will be on what these methods are, as well as on how to perform these tests.
In a continuous model, the changes in state of the model are described by (partial) differential and algebraic equations. In a discrete-event model, however, the changes in state are discrete. Discrete models are often stochastic. This type of models is employed in the development of complex technological systems like production processes or airports. Students will also learn to build discrete models and to design experiments.
In this course, the students will develop, analyse and apply at least one model. This model is to be selected both from a window of domains relevant for Wageningen University and from one of the types mentioned.

Aims:

After this course, the student is able to: - design and build a simple discrete event model;
- discuss, apply and use simulation model analysis methods and accompanying techniques;
- use Good Modelling Practice principles;
- design, develop, analyse and apply in a scientifically sound way a simulation model, which aims to solve real life problems.

Activities:

Classroom lectures (25%), tutorials (12.5%), intensive practical training (37.5%), problem oriented education (25%).

Examination:

Written exam, group work, presentations.

Literature:

Reader and course outline available, see http://www.informatics.wur.nl