This is a survey course introducing basic consepts of programming using the R lanugague. 

The following topics will be discussed:

• Introduction to R and RStudio
• Variables types
• Operations on variables
• Types of missing values (NA, NULL, NaN).
• Intro to functions and algorithms
• Flow control (if-else, loops, and vectoric operations)
• Recursion 
• Run time complexity (big O notation)
• Algorithms for sorting and searching
• Lists, attributes, names
• Complex data structures (factor, matrix, data.frame)
• Aggregation methods (sapply, lapply, tapply, apply)

Extra reading materials

• Guide to Programming and Algorithms Using R -Springer -Verlag London (2013), Özgür Ergül (auth.)
• Introduction to Data Technologies - CRC Press Book - https://www.stat.auckland.ac.nz/~paul/ItDT/itdt-2010-11-01.pdf
• An Introduction to R - https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf
• Cracking the coding interview - by Gayle Laakmann McDowell
• R for Data Science - http://r4ds.had.co.nz/