Data Train Starter Track: Computer sciences basics for data science

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.

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)

Outcomes

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

Speaker: Rolf Drechsler, Professor for Computer Architecture, University of Bremen, Director of the Cyber-Physical Systems Group at the German Research Center for Artificial Intelligence (DFKI), Spokesperson of the Data Science Centers at the University of Bremen (DSC@UB)

Please register here.

Quelle: https://rb.gy/isvj1i