Ruprecht-Karls-Universität Heidelberg

Model Based Design of Experiments

Compact Course and Workshop

HGS MathComp at IWR, Heidelberg University
February 8-12, 2010, 9 am - 4 pm
Im Neuenheimer Feld 368, 69120 Heidelberg, Room 432


Download: Flyer (pdf)

Summary

Complex processes are described by nonlinear differential equation systems. Only validated models allow realistic process simulations and the potential of process optimizations.
This course deals with concepts, methods and software for model validation, especially sensitivity analysis, parameter estimation, optimum experimental design and model discrimination.
The course consists of lectures, tutorials and practicals including an introduction to PARFIT and VPLAN. It will be concluded by scientific presentations from local and external researchers.

Contents

  • Modelling
  • Parameter Estimation
  • Linear Experimental Design
  • Nonlinear Experimental Design
  • Computational Methods
  • Applications
  • Scientific Workshop

Target Audience

Students and scientists who work with processes, models, data and experiments from the fields of Mathematics, Natural, Life and Engineering Sciences. Basic knowledge on numerical mathematics and differential equations is useful but not mandatory.

Schedule

  • Mon-Wed: Compact Course
    Morning: two 90 min lectures, afternoon: computer tutorials.
  • Thu-Fri: Workshop
    Scientific presentations from local and external researchers.
Please click here for a detailed timetable (pdf).

Slides of the Presentations

Participants of the course can download the slides here.

Organizers and Lecturers

  • Dr. Thomas Carraro, Institute for Applied Mathematics, Heidelberg University
  • Dr. Stefan Körkel, HGS MathComp, Heidelberg University

Contact and Registration

If you want to participate, please send an email to optex@uni-hd.de until February 3, 2010.

Author: Stefan Körkel
Latest Update: Tue Apr 6 14:54:04 2010
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