Over the past week I have been following an intro statistics course from UC Berkley, taught by Prof. Hank Ibsner. I find his teaching style very refreshing. He is committed to ensuring that his students understand why you do what you do in stats before showing how you do it. This teaching style really resonates with me.
When Prof. Ibsner is covering a new concept, for example standard deviation (SD) he does not give the formula first and then explain the concept. Rather he explains the concept to such a point that the formula becomes obvious. This is a good approach for me anyway and I have found that many people feel that they a stats concept once they know the formula, but do they know why something is calculated a particular way or what each variable means?
Showing posts with label itunesu. Show all posts
Showing posts with label itunesu. Show all posts
Thursday, January 28, 2010
Thursday, January 21, 2010
Relearning through iTunesU - Class starts today
At the start of most years I always like to try to learn new things. This year I decided to do something a bit different, I am going to relearn things that I learned a long time ago - I am going to do refresher courses. I have decided to do all this using iTunesU. This is really a great resource, my only problem about it is that it is in Apple propriety software - you need iTunes to access.
So what am I going to relearn. After much debate with myself I decided to refresh my technical skills a bit and get to grips data structures and algorithms, computing paradigms (python programming) and statistics again. I also decided to throw in iPhone development from Stanford, just for kicks. I will let you know how I get on..
So what am I going to relearn. After much debate with myself I decided to refresh my technical skills a bit and get to grips data structures and algorithms, computing paradigms (python programming) and statistics again. I also decided to throw in iPhone development from Stanford, just for kicks. I will let you know how I get on..
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