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Statistics and Statistical Programming (Winter 2017)
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== Structure of Class == I expect everybody to come to class, every week, with their laptop and a power cord, being ready to answer any question on the problem set and having uploaded and shared code to the code related questions. The class is listed as nearly 4 hours long and, with the exception of a few short breaks, I intend to use the entire period. Be in class on time and be plugged in and ready to go. When it comes to the statistics part of this material, this will be a primarily "flipped" classroom. What this means is that we'll be relying on the textbook and other resources to introduce the material and we'll be using the class to discuss it and answer questions that come up. Although structure of class will vary, it will generally include the following parts. # Quick updates about assignments, projects, and a meta-discussion about the class. # Discussion of '''programming challenges''' due that day. # [''Possibly/Sometimes''] Short lecture and/or Q&A about new material in Diez, Barr, and Çetinkaya-Rundel # Discussion of '''statistics questions''' related to new material in Diez, Barr, and Çetinkaya-Rundel and any exemplary empirical paper we have read to discuss. # Interactive lecture introducing new statistical programming concepts. # [''Possibly/Sometimes''] Time to begin work on next week's programming assignments.
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