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