Lecture with integrated exercise
Advanced R for Econometricians
|Name in diploma supplement||Advanced R for Econometricians|
|Organisational Unit|| Lehrstuhl für Ökonometrie (http://www.oek.wiwi.uni-due.de/)|
|Lecturers||Prof. Dr. Christoph Hanck|
M.Sc. Martin Christopher Arnold
M.Sc. Alexander Gerber
|Cycle||irregular||Participants at most||20|
A solid understanding of basic R programming as, for example, taught in our Master-level econometrics courses is required.
This course teaches advanced topics in R programming that become increasingly relevant for everyday applications in both applied and theoretical econometrics and empirical economics.
The first part of the course covers intermediate concepts in functional and object orientated programming, error handling, profiling and benchmarking as well as a treatment of selected R packages tailored for big data applications. Students are also introduced to reporting with dynamic documents. Part II deals with the tidyverse, a collection of packages designed for modern applications in data science. The third part introduces topics such as multi-core computing, C++ integration and other cutting-edge R extensions.
Students are prepared for applications in future studies and are able to efficiently tackle research-related programming tasks.
Presentation, discussion and joint solving of programming exercises.
|WIWI‑C1138 - Lecture with integrated exercise: Advanced R for Econometricians|