Programme Schedule

Tentative talks

“Monte-Carlo-Methods in the Biosciences” by Prof. Dieter Heermann, Heidelberg University, Germany

Target audience: This course is intended for faculty, graduate students, post-doctoral fellows, professionals and others who would like to gain an understanding of the modeling and numerical methods for complex biological systems with specific emphasis on the application of Monte Carlo methods. The overall set of courses consist of lectures, discussions, and supervised group projects, tutorials, as well as practical exercise sessions.

“New mathematical tools to understand generation and propagation of spikes in action
potentials in neurons” by Prof. Francine Diener, University of Nice, France

Target audience : The attendees should have basic knowledge in differential systems and ideally, some knowledge in bifurcation theory. For the practical part, we will use Scilab (which is a Matlab-like free software), mainly to compute and plot solutions of 2D dynamical systems. The exercises have been thought to be accessible to beginners in Scilab but some preliminary training in Scilab (or similar software) would be a plus.

“Dimensional reduction and molecular signature extraction from large-scale genomics
datasets” by Dr. Carl Herrmann, Heidelberg University, Germany

Target audience: The attendees should have basic knowledge of linear algebra, in particular matrix algebra. Ideally, they also should have basic knowledge of molecular biology (DNA, transcription, chromatin, . . . ), as this would help to understand the biological question behind these approaches and interpret the results. For the practical part, the R environment RStudio will be used and should be available. The attendees should be familiar with R as all data manipulation will be made under this environment. Prior completion of introductory R course such as the R introduction in DataCamp would be a good option.

“Scientific Visualization of Large and Complex Datasets” by Prof. Filip Sadlo, Heidelberg University, Germany

Target audience: The attendees should have basic knowledge of mathematical analysis and linear algebra, and ideally some basic knowledge in programming, i.e., basic experience with programming languages such as C++, Python, or Java.

“Parameter Estimation in Ordinary Differential Equations” by Prof. Marc Diener University of Nice, France
Target audience: The compact course targets students from biology, mathematics and computer science, starting from the theory of initial  value problems for ordinary differential equations and introducing all tools necessary to implement first algorithms for the efficient numerical solution of these problems as nonlinear problems.

More Abstracts

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