EDSD 2020: Computer programming (E140)

Overview

This repository contains materials for the computer programming course of the EDSD cohort 2020. Currently, there are three folders:

• "R Code": R code for each session.
• "Slides": Slides of the first session.
• "Exercises": Voluntary exercises.
• "Assignment": Mandatory assignment.

Software

In this course, we will use two programs:

• R https://cloud.r-project.org/
• RStudio https://rstudio.com/products/rstudio/

First install R, then install RStudio.

Course schedule

All sessions will be held via Zoom (https://zoom.us/), invite via email.

• September 23 (Wed), 16:30-18:30 (CEST)
• September 25 (Fri), 16:30-18:30 (CEST)
• September 30 (Wed), 16:30-18:30 (CEST)
• October 2 (Fri), 16:30-18:30 (CEST)
• October 7 (Wed), 16:30-18:30 (CEST)
• October 9 (Fri), 6:30-18:30 (CEST)
• October 14 (Wed), 16:30-18:30 (CEST)

Helpful resources

Books:

• Wickham, Grolemund: R for Data Science. https://r4ds.had.co.nz/
• Healy: Data Visualization. https://socviz.co/
• Hernan, Robins: Causal Inference. https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/
• Allerhand: A Tiny Handbook of R. http://link.springer.com/book/10.1007%2F978-3-642-17980-8 (available for free through MPIDR account)

Websites:

• https://stackexchange.com/
• https://www.r-bloggers.com/

Journals:

• Journal of Statistical Software https://www.jstatsoft.org/index
• R Journal https://journal.r-project.org/

Contact

If you have any questions (or find any errors) you can post them on Slack. Alternatively, you can send me an email: dudel@demogr.mpg.de