Energy, Mobility and Environmental Management

Applied Computer Science II

Integrated course, 4.00 ECTS

 

Course content

The course provides students with in-depth knowledge of applied computer science with a focus on topics of future relevance, i.e. digitalisation, big data and networking (Industry 4.0). The module deals with statistical and data analysis of large datasets using widespread software tools such as MS-Excel, Matlab/Simulink and MS-Access.

Learning outcomes

Module NWG4 provides students with detailed knowledge of applied computer science with a focus on topics of future relevance, i.e. digitalisation, big data and networking (Industry 4.0). The module deals with statistical and data analysis of large datasets using widespread software tools enabling students to independently carry out sophisticated data analysis tasks.

Recommended or required reading and other learning resources / tools

Books: Pietruszka: MATLAB und Simulink in der Ingenieurpraxis, Springer Vieweg; Thuselt/Gennrich: Praktische Mathematik mit MATLAB, Scilab und Octave, Springer Spektrum; Beucher: Wahrscheinlichkeitsrechnung und Statistik mit MATLAB, Springer; Matthäus/Matthäus: Statistik und Excel, Springer Spektrum
Journals:

Mode of delivery

ILV

Prerequisites and co-requisites

NWG3

Assessment methods and criteria

Written/oral