Computer science basics for data science ST-LE-2026-10

by Christina Plump (Deutsches Forschungszentrum für Künstliche Intelligenz), Prof. Rolf Drechsler (Universität Bremen)

Thursday Apr 9, 2026, 10:30 AM → 12:30 PM Europe/Berlin

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Motivation 

Computer science is a key component for data science applications and research data management as methods and procedures rely on it. For instance, to enable fast access to information, data sets must be stored efficiently in data structures. Clever modelling and algorithmic processing hereby guarantee a fast search and selection of information of even big data sets. This course will provide insights into computer science basics and gives an overview about relevant topics for data science.

Learning contents

• Computer science and its subdisciplines: applied, technical, practical, theoretical
• Programming languages
• Data storage and -processing
• Data structures
• Example: Sorting (Bubble Sort, Merge Sort, Quicksort)

Learning objectives

Basic overview about computer sciences and its subdisciplines; basics in system engineering.

Prior knowledge

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Further reading

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