Graduate Level Machine Learning Course

Hello,

I'm working with my former university to create a Machine Learning Class for Grad Students in CS. I want to use the power of the collective thinking and expertise to do this. In your opinion, what would be a good set of topics to have in a one semester (17 weeks, 2 times a week) introductory course on ML. The students are supposed to have good backgrounds on Math and Computer Science, most of them have by this time taken several courses on probability, geometry and functional analysis.

Thanks for your suggestions.

If you have a link of a particular ML course you consider particularly good (I already know Andrew NG's material) it would be greatly appreciated as well.

Thanks