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Modeling and Analyzing Consumer Behaviour with R

Modeling and Analyzing Consumer Behaviour with R
type: Vorlesung (V)
semester: SS 2017
time: 2017-04-25
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)


2017-05-02
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-05-09
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-05-16
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-05-23
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-05-30
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-06-06
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-06-13
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-06-20
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-06-27
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-07-04
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-07-11
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-07-18
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)

2017-07-25
14:00 - 15:30 wöchentlich
05.20 1C-01 05.20 Kaiserstraße 89-93 (Allianz-Gebäude)


lecturer: Dr. Verena Dorner
sws: 2
lv-no.: <a target="lvn" href="https://campus.studium.kit.edu/events/I2E9ewK7RH6kpFtFmRL28A">2540470</a>
Bibliography

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)

Content of teaching

The students use the R software for handling case studies from the fields of e-commerce and decision support system (DSS). On the implementation level, participants learn to write functions in R to simulate data, e.g., corporate data. On the user level, participants learn methods for analyzing and visualizing data, e.g., for the analysis of product reviews.

Main topics covered by the lecture:

1. Data types and programming concepts in R

2. Data selection and restructuring in data frames

3. Text Mining with R

4. Optimization with R

5. Visualization with R

Annotation

Limited number of slots

The course has been added summer term 2015.

Workload

The total workload for this course is approximately 135.0 hours. For further information see German version.

Aim

The students

  • learn to use the statistic software R on an advanced level
  • understand the approach on how to model and simulate decision support systems
  • know methods for evaluating, analyzing, and visualizing data
Exam description

The assessment consists of a written exam (60 min) (according to §4(2), 1 of the examination regulation). By successful completion of the exercises (according to §4(2), 3 of the examination regulation) a bonus can be obtained. If the grade of the written exam is at least 4.0 and at most 1.3, the bonus will improve it by one grade level (i.e. by 0.3 or 0.4). The bonus only applies to the first and second exam of the semester in which it was obtained.