Course "Digitization and Data Analytics: Architectures, Methods, and Consequences"

Responsible Lecturer:

Prof. Dr. Wolfgang E. Nagel

Contact:

Jana Klimpke, M.Sc.

Description of the Course:

The course "Digitization and Data Analytics, Architectures, Methods, and Consequences" provides an overview and special knowledge about current approaches for the analysis of large amounts of data (Big Data). This covers different Data Analytics approaches and their application in the High-Performance Computing (HPC)  environment, specific computer architectures as well as data processing in the  HPC environment. In addition, data analytics frameworks and selected applications are presented.
The aim of the lecture is to show the interlocking of concepts and methods from the field of HPC and from Data Analytics with regard to the rapidly advancing digitalization, to present the necessary tools in practical exercises and to discuss the consequences of these developments.

Scope:

4 SWS (2 SWS Vorlesung, 2 SWS Übung)

Targeted Study Program:

• Diplom-Studiengänge Informatik, Informationssystemtechnik
• Master-Studiengang Informatik
• Bachelor-Studiengänge Informatik, Medieninformatik
• Master-Studiengänge Mathematik, Technomathematik, Wirtschaftsmathematik
• weitere Interessenten der Studiengänge in Natur- und Ingenieurwissenschaften

Lecture held during:

Sommersemester

Recommended Semester(s):

• Diplom-Studiengänge - Hauptstudium
• Bachelor-Studiengänge - 6. Semester
• Master-Studiengänge - 2. Semester

Modules:

CMS-CE-EL1 , CMS-CE-EL2 , CMS-CLS-ELG , CMS-CMA-ELV1 , CMS-CMA-ELV2 , CMS-EE-EL1 , CMS-EE-EL2 , CMS-VC-ELV1 , CMS-VC-ELV2 , INF-04-FG-TI , INF-B-510 , INF-B-520 , INF-B-530 , INF-B-540 , INF-LE-MA , INF-PM-ANW , INF-VERT5 , IST-05-FG-TI , MATH-MA-INFHP , MATH-MA-INFHR , MCL-FE

Study Material:

Lecture- und exercises will be uploaded to OPAL .

Exam modalities:

Depending on the module, you will have a written or orale exam.

More information is pulished at OPAL.

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