PTI90140 – Data acquisition and analysis in industrial processes

Module
Data acquisition and analysis in industrial processes
Data acquisition and analysis in industrial processes
Module number
PTI90140
Version: 1
Faculty
Physikalische Technik / Informatik
Level
Bachelor
Duration
1 Semester
Semester
Winter semester
Module supervisor

Prof. Dr. Sven Hellbach
Sven.Hellbach(at)fh-zwickau.de
Lecturer(s)

Prof. Dr. Sven Hellbach
Sven.Hellbach(at)fh-zwickau.de
Lecturer in: "Data acquisition and analysis in industrial processes"

Prof. Dr. Stefan Zigan
Stefan.Zigan(at)fh-zwickau.de
Lecturer in: "Data acquisition and analysis in industrial processes"
Course language(s)

English
in "Data acquisition and analysis in industrial processes"
ECTS credits

5.00 credits

Workload

150 hours

Courses

2.00 SCH (2.00 SCH Vorlesung)
Self-study time

120.00 hours

Pre-examination(s)

Projektarbeit
in "Data acquisition and analysis in industrial processes"
Examination(s)

alternative Prüfungsleistung - Beleg und Präsentation
Module examination | Weighting: 100% | wird in englischer Sprache abgenommen
in "Data acquisition and analysis in industrial processes"
Media type
No information
Instruction content/structure

The module data science project will cover the following topics: 

  • Machine Learning  
  • Data analysis  
  • Big data concepts 
  • Identification strategies for data analysis 
  • Application of data science techniques  

The course is taught in a seminar style with practical examples and selected case studies.
Qualification objectives

By the end of this module, students should be able to: 

  • Employ theories, concepts and frameworks to identify and reflect upon data science strategies, big data issues and challenges 
  • Identify and evaluate various data science options 
  • Use an extended range of tools and frameworks to conduct a full analysis of given data sets
Special admission requirements

keine
Recommended prerequisites
No information
Continuation options
No information
Literature

keine
Notes
No information
Assignment to curriculum

470 Green Engineering and Sustainable Management - Bachelor 2022 Vollzeit

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