Course 2017

March 20th to 24th, 2017 at University of Aveiro, Portugal

The course focus on data acquisition, data analysis, and mathematical modeling.

Course materials can be found here.

¹⁾ ... Lecture         ²⁾ ... Project

G. Teschke, University of Applied Sciences Neubrandenburg, Germany

• Data modeling (real world, physical modeling, discrete data)
• Study of data errors with examples from the calculation of derivatives
• Data sampling design based on error models / general sampling approaches
• Data Mining (classification, SMV with examples of object recognition)
• Applications

D. Legatiuk, Bauhaus Universität Weimar, Germany

• Modern modelling concepts in engineering

I. Pereira / N. Lopes, University of Aveiro, Portugal

• Statistical Data Analysis, Time series analysis

T. Lahmer, Bauhaus Universität Weimar, Germany

• Optimal Design of Experiments

• How to gather data for the identification of parameters in models?

 

• Fisher Information based approaches

 

• Methods for minimizing mean squared reconstruction errors

• Optimization in Engineering Problems

• Concepts and Methods for Nonlinear Optimization

 

• Local Search Methods

 

• Methods for non smooth functions

 

• Global Methods

 

• Application: Calibration of Models

D. Penava, Josip Juraj Strossmayer, University of Osijek, Croatia

• An orthotropic material model for static linear-elastic finite element analysis

• simple example of static linear-elastic orthotropic behaviour

 

• general derivation using the principle of virtual work

 

• constitutive component

 

• discretized kimenatics and solution

 

• computer implementation

G. Károlyi, Budapest University of Technology and Economics, Hungary

• Dimensionless numbers in mathematical modeling

• Buckingham's theorem

 

• Example: oscillations

 

• Example: fluid mechanics

 

• Example: buckling

 

• Case study: aircraft impact into roboust structures