Course details


Basics of data visualization for behavioral scientists

S + P
SS 2020 Vinicius Macuch Silva HYBRID
B.Sc modules:
CS-BWP-CL - (Computational) Linguistics
CS-BWP-CNP - Cognitive (Neuro-)Psychology
CS-BWP-MCS - Methods of Cognitive Science
KOGW-WPM-CL - Computational Linguistics
KOGW-WPM-KNP - Cognitive (Neuro-)Psychology
M.Sc modules:
CC-MWP-CL - Computational Linguistics
CS-MWP-CL - (Computational) Linguistics
CS-MWP-CNP - Cognitive (Neuro-)Psychology

Doctorate program

This course is aimed at students who have little or no experience analyzing behavioral data from laboratory experiments or surveys and questionnaires. The focus of the course lies in introducing students to the basics of data exploration and visualization in the programming language R, relying on data sets from a psycholinguistic study on non-literal language. The course will consist of hands-on coding sessions, with guided live demonstrations and both in-class and home exercises. Students are expected to obtain practical knowledge of data exploration and visualization for the purposes of behavioral research. By the end of the course, they should be able to produce basic visual reports of rating data and reaction time data. This course will be offered as a block seminar in September 2020. There will be 5 sessions spread over 2 weeks: Week 1 - September 21, 23, 25 Week 2 - September 28 & 30 The schedule and syllabus can be found on the course webpage >