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Data Science UE

level of course unit

second cycle, Master

Learning outcomes of course unit

in progress

prerequisites and co-requisites

in progress

course contents

in progress

recommended or required reading

• Dorschel (2015): Praxishandbuch Big Data: Wirtschaft – Recht – Technik, Sprin- ger Gabler Verlag
• Grus (2016): Einführung in Data Science: Grundprinzipien der Datenanalyse mit Python, O’Reilly Media
• McKinney (2015): Datenanalyse mit Python: Auswertung von Daten mit Pandas, NumPy und IPython, O’Reilly Media
• Guido, Mueller (2016): Introduction to Machine Learning with Python, O’Reilly Media
• Gibson, Patterson (2016): Deep Learning: The Definitive Guide: A Practitioner's Approach, O´Reilly Media

assessment methods and criteria

exercises

language of instruction

German

number of ECTS credits allocated

4

planned learning activities and teaching methods

practise

semester/trimester when the course unit is delivered

2

name of lecturer(s)

Director of studies

year of study

1. study year

recommended optional program components

not applicable

course unit code

not applicable

type of course unit

compulsory

mode of delivery

practise

work placement(s)

not applicable