Difference between revisions of "Course Materials Stat 370 Spring 2017"

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(Day 3: January 27, 2017)
(Day 3: January 27, 2017)
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I started by discussing the project idea, described below.  You are not required to follow this suggestion.  Some students are already doing something else, and that is fine.  Synergies with other projects, outside of this class, are encouraged.
 
I started by discussing the project idea, described below.  You are not required to follow this suggestion.  Some students are already doing something else, and that is fine.  Synergies with other projects, outside of this class, are encouraged.
  
* Take a data rich field.  Some ideas, so far: weather, social media, baseball, climate (although access to government data on this subject seems uncertain, at the moment).
+
* Choose a data rich field.  A few ideas: weather, social media, baseball, climate (although access to government data on this subject seems uncertain, at the moment).
 
* Write code to access the data via the web automatically, and update the data, as new data comes in.
 
* Write code to access the data via the web automatically, and update the data, as new data comes in.
 
* Write code to analyze and display the data in interesting ways.  
 
* Write code to analyze and display the data in interesting ways.  
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The reason to "do something more" is that I am planning to do most of the above in class.  Specifically,
 
The reason to "do something more" is that I am planning to do most of the above in class.  Specifically,
  
* Part of one class period will be devoted to brainstorming and discussing ideas of where to get data.
+
* We will spend parts of a few class periods devoted to brainstorming and discussing ideas of where to get data for this type of project.
 +
* Part of at least one class period will be devoted to learning how to access data via the web.

Revision as of 20:51, 28 January 2017

Day 1: January 17, 2017

We had introductions and we went over the syllabus. We talked about our goals and dreams and reasons for taking this course. We also talked about our experience with R and with programming in general.

Day 2: January 24, 2017

We talked about getting and installing R and RStudio. We discussed some of the panels of using RStudio including the editor and the console. I showed you dynamic documents with R-Markdown. We wrote an R Script, and a dynamic document. We talked about Markov chains. I presented several project ideas concerning Markov chains, including applications to baseball, and neuroscience.

Day 3: January 27, 2017

I started by discussing the project idea, described below. You are not required to follow this suggestion. Some students are already doing something else, and that is fine. Synergies with other projects, outside of this class, are encouraged.

  • Choose a data rich field. A few ideas: weather, social media, baseball, climate (although access to government data on this subject seems uncertain, at the moment).
  • Write code to access the data via the web automatically, and update the data, as new data comes in.
  • Write code to analyze and display the data in interesting ways.
  • Tie everything together into a dynamic document.
  • Do something more (ideas below) ...

The reason to "do something more" is that I am planning to do most of the above in class. Specifically,

  • We will spend parts of a few class periods devoted to brainstorming and discussing ideas of where to get data for this type of project.
  • Part of at least one class period will be devoted to learning how to access data via the web.