This is clearly an introduction. You're not going to spend a semester talking about "Error and Noise" in a class like this. I had the opposite impression --- that it covers a relatively small number of topics that are very highly related.

Now, will you come out of this class knowing how to do practical machine learning? Probably not. But these are fundamental concepts that you must know. When your tools are not enough in the real world, you can appeal to these concepts to understand why.