Modeling & Analyzing Consumer Behavior with R
- Type:
- Semester: SS
-
Lecturer:
PD Dr. Jella Pfeiffer
Dr. Verena Dorner - SWS: 2/1/0
bibliographic references
Field, A., Miles, J., Field, Z., Discovering Statistics Using R, SAGE 2014
Jones, O., Maillardet, R., Robinson, A., Scientific Programming and Simulation Using R, Chapmann & Hall / CRC Press 2009
Venables, W. N., Smith, D. M. and the R Core Team,"An Introduction to R", 2012 (version 2.15.2), http://cran.r-project.org/doc/manuals/R-intro.pdf
Wickham, Hadley, ggplot2: Elegant Graphics for Data Analysis (Use R!), Springer 2009 (2nd edition)
teaching content
The students use the R software to work on case studies in the areas of e-commerce and decision support (DSS). At the development level, students learn to write their own functions in R, e. g., to write functions in R. Simulate enterprise data. At the user level, students learn methods for evaluating and visualizing data, e. g. for analyzing product reviews.
The event will focus on the following topics:
- Data types and programming concepts in R
- Data selection and structuring in dataframes
- Text Mining with R
- Optimization with R
- Visualization with R
annotation
Limited number of participants.
New lecture from summer semester 2015.
workload
Labour input activity
Total effort with 4,5 achievement points: approx. 30*4,5 = 135 hours
Presence time: approx. 32 hours
Preparation / follow-up: approx. 52 hours
Examination and exam preparation: approx. 51 hours
target
The student (s)
- have advanced knowledge in working with the statistics software R
- understands the approach to modeling and simulation of decision support systems
- masters methods for evaluation, analysis and visualization of data
scrutiny
The results are checked in the form of a written examination (60 min.) (according to §4 (2), 1 SPO). By successfully participating in the training operation as a performance review of a different kind (according to §4 (2), 3 SPO) a bonus can be acquired. If the grade of the written exam is between 4.0 and 1.3, the bonus improves the grade by one grade (0.3 or 0.4). The bonus is only valid for the main and subsequent exams of the semester in which it was acquired.