Data Science & Intelligent Analytics PT
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level of course unit

Master's course

Learning outcomes of course unit

The following skills are developed in the course:

- Students are familiar with the discourse relevant to their subject in the foreign country concerned.
- Students are familiar the cultural factors influencing the discipline of Data Science in the foreign country concerned.
- Students understand how influential factors and discourse influence the discipline of data science in the foreign country concerned.

prerequisites and co-requisites

2nd semester: No prerequisites

course contents

The following content is discussed in the course:

- Intercultural competence
- Discussion with representatives from the field

recommended or required reading

PRIMARY LITERATURE:
- Dumetz, J; Trompenaars, F.; Dumetz, J.; Saginova, O.; Covey, S.; Hampden-Turner, S.; Woolliams, P.; Schmitz, J.; Foster, D.; Belbin, M; Schein, E. (2012): Cross-cultural management textbook: Lessons from the world leading experts in cross-cultural management (Ed. 1), CreateSpace Independent Publishing Platform, Delaware (ISBN: 978-1479159680)

SECONDARY LITERATURE:
- Beise, M. (2013): Lead Markets. Country-Specific Success Factors of the Global Diffusion of Innovations (Ed. ), Physica-Verlag, Heidelberg (ISBN: 978-3790814309)
- Thomas, A.; Kinast, E.; Schroll-Machl, S. (2003): Handbuch Interkulturelle Kommunikation und Kooperation: Grundlagen und Praxistransfer (Band 1) (Ed. 2), Vandenhoeck and Ruprecht, Göttingen (ISBN: 978-3525461723)
- Thomas, D. C. (2014): Cross-Cultural Management: Essential Concepts (Ed. 4), SAGE Publishing, Thousand Oaks (ISBN: 978-14112939560)
- Jones, E. (2006): Cultures Merging: A Historical and Economic Critique of Culture (Ed. 1), Princeton University Press, New Jersey (ISBN: 978-0691171043)

assessment methods and criteria

Final report

language of instruction

English

number of ECTS credits allocated

3

eLearning quota in percent

0

course-hours-per-week (chw)

2

planned learning activities and teaching methods

The following methods are used:

- Interactive workshop
- On-site visits with discussion

semester/trimester when the course unit is delivered

2

course unit code

MDS.2

type of course unit

integrated lecture

mode of delivery

Compulsory

work placement(s)

none