Lecture Schedule

Time and Place: Tuesdays and Thursdays from 1:30-2:30pm in 11105 (11th floor), 2525 West End Ave

Office hours

• Cole: after class, or by appointment
• Assistant Marisa Blackman: TBD

This schedule is tentative and subject to change at any time.

• Course introduction and first example
• Introduction to R (Chapters 2-5)
  • R basics
  • data
  • data types and data structures
• R Programming (Chapter 7)
  • Control structures
  • Writing and calling functions
• Simulation (Chapter 8)
• Version control using Git
• Document preparation:
  • LaTeX
  • beamer
  • knitr
  • Markdown
• Data import and export (Chapter 10)
• Working with dates and times
• Data processing (Chapter 5)
• String manipulation and regular expressions (Chapters 11)
• Debugging (Chapter 13)
• Object-oriented programming (Chapter 9)
• Data Visualization
  • Plotting with ggplot2
  • Base graphics (Chapter 12)
• Performance computing (Chapter 14)
• Additional R packages
  • data.table
  • sqlite
  • shiny