Computational

 

 


 

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E.g., 2016-12-07
E.g., 2016-12-07
E.g., 2016-12-07
Dec 5th 2016

In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.

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Sep 1st 2016

This course provides a broad introduction to the field of nonlinear dynamics, focusing both on the mathematics and the computational tools that are so important in the study of chaotic systems. The course is aimed at students who have had at least one semester of college-level calculus and physics, and who can program in at least one high-level language (C, Java, Matlab, R, ...).

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Oct 27th 2014

The activity of neurons in the brain and the code used by these neurons is described by mathematical neuron models at different levels of detail.

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Jan 13th 2014

In this course you will learn about how and why DNA and protein sequences evolve. You will learn the theory behind methods for building and analyzing phylogenetic trees, and get hands-on experience with some widely used software packages.

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