For the second period , I chose two courses :
"Scientific Visualization" and "Computer-intensive Statistics and Data Mining".
In Scientific Visualization course, they focus on VTK library and consider this huge library as a high level abstract one . I mean they don't concentrate on "under the hood" computer graphics basis; instead, they train students how to think from a level upper to determine the problem specifications and apply visualization techniques to demonstrate the results.
Another point about the course is that the formal programming language for this course is Python !! Oh my goodness ! It was one of the best news I had ever heard :)
But the second course is more interesting ; it's about "Statistical Pattern Recognition" ; thought, the primitive 8 lecture (out of 21 lectures) is about "random number generation, Monte Carlo , and Bootstrap techniques" . A nice point about this course is that We have to do our project in "R programming language" , which is an amazing language with exceptional capabilities for Statistical Programming .
Nevertheless , I have to try hard to dominate all of them . It takes 99% perspiration :)
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