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Course module: 880256-M-3
880256-M-3
Research Skills: Programming with R
Course info
Course module880256-M-3
Credits (ECTS)3
CategoryMA (Master)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Humanities and Digital Sciences; TSH: Department Cognitive Science and AI; TSH: Department Cognitive Science and AI;
Is part of
M Communication and Information Sciences (research)
M Marketing Analytics
M Culture Studies
M Communication and Information Sciences
M Linguistics and Communication Sciences (research)
M Data Science and Society
Convenant TSH
Contact persondr. R.J.C.M. Starmans
Lecturer(s)
Lecturer
Dr B. Nicenboim
Other course modules lecturer
Coordinator course
dr. R.J.C.M. Starmans
Other course modules lecturer
Lecturer
dr. R.J.C.M. Starmans
Other course modules lecturer
Lecturer
dr. E.J.M. van Wingerden
Other course modules lecturer
Academic year2019
Starting block
BLOK 2/  BLOK 4
Course mode
Full-time
Remarks-
Registration openfrom 14/10/2019 up to and including 24/01/2020
Aims
Please Mind: the complete information for this course is not provided yet, this page will be finalized in the upcoming weeks

Upon successful completion of this course, students are able to:
  • Read, clean, merge & transform data using R.
  • Create & customize 2D plots using R.
  • Fit & evaluate classification models using R.
  • Write custom R functions & apply R functions repeatedly.
  • Find, install and use novel R packages.
  • Judge and improve the efficiency of familiar R code.
  • Combine these skills to solve novel problems.
Content
The programming language R is a powerful tool for working with data – for manipulating it, plotting it, and modeling it. It’s used by academics and industry alike, and it’s free and open source. Thanks to a rich universe of add-ons, known as packages, it makes many advanced techniques easily accessible. This course offers an introduction to R. It teaches a specific set of skills - mostly related to data manipulation and visualisation - but more importantly, it teaches R self-help: How to use fundamental R knowledge, built-in functions, the ? command, and Google, to get R to do what you want.

The course is taught using RStudio, which is a free programme that makes it easier to work with R, and RMarkdown, which is a special format for intermingling text and code. Each week, a worksheet containing instruction and exercises is published on Blackboard. Each worksheet introduces a specific R topic using illustrative examples and data sets. The following week, answers to all exercises are posted, and difficult questions are discussed in class. Working through these worksheets provides all the necessary insights and skills to pass the course.

“Due to limited capacity, this course is currently not open for external students.”
Timetable information
Research Skills: Programming with R
Required materials
-
Recommended materials
-
Tests
Final Result

Take home Exam (70%)

Paper (30%)

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Kies de Nederlandse taal