cm001.Rmd

---
title: "Introduction to computing for the social sciences"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(cache=TRUE)
```

# cm001 - September 26, 2016

## Overview

* Introduce myself
* Identify major course objectives
* Identify course logistics
* Introduce basic principles of data science workflow and programming
* Explain how to get started in R

## Slides and links

* [Slides](extras/cm001_slides.html)

## To do for Wednesday

* [Complete the petition to enroll in this course](https://goo.gl/forms/qtck5uInx3560k2H2)
* [Install and setup software](setup00.html)
    * At minimum make sure you install R and RStudio. We will be using both in class on Wednesday.
    * Also [install](setup03.html#add-on_libraries) the [`gapminder`](https://cran.r-project.org/web/packages/gapminder/index.html) package. The command to do this is `install.packages("gapminder")`.
* Chapters 1-4 from [R for Data Science](http://r4ds.had.co.nz/)
* [Good Enough Practices in Scientific Computing](http://arxiv.org/abs/1609.00037) (optional, but good summary of best computing practices)