This course is mainly focused on statistical computing. 
It will cover 

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<li> Introduction Computing</li>
<br>
<li>Introduction to R/Splus</li>
<br> 
<li> Random Number Generation</li>
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<li> Optimization and Numerical Methods</li>
<br>
<li> Bootstrap method</li>
<br>
<li> EM algorithm</li>
<br>
<li> Bayesian inference</li>
<br>
<li> Monte Carlo Markov Chain</li>
<br>
<li> Fourier Analysis and Wavelets</li>



<p>

The grade scheme:
<p>

<li> Assignment 20% </li>

<p>
<li> Presentation 10% </li>

<p>

<li> Final Report: 70% </li>