14414 - Data Analytics and Process Modelling Modulübersicht

Module Number: 14414
Module Title:Data Analytics and Process Modelling
  Datenanalyse und Prozessmodellierung
Department: Faculty 3 - Mechanical Engineering, Electrical and Energy Systems
Responsible Staff Member:
  • Prof. Dr. rer. nat. Röntzsch, Lars
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every winter semester
Credits: 6
Learning Outcome:The students learn to develop, evaluate and validate models, design experiments and analyse data. The focus is placed on practical applications, particularly in process and energy technology. Students are also familiarised with soft sensors and digital twins.
Contents:
  1. Process Modelling and System Identification
  2. Statistics and Data Visualisation
  3. Theoretical Foundation for Statistical Analysis
  4. Regression Analysis
  5. Design of Experiments
  6. Soft Sensors and Digital Twins
Recommended Prerequisites:Knowledge of advanced mathematics as well as physics or a basic engineering subject (e.g. electrical engineering, mechanics or thermodynamics) at the university bachelor's level
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Exercise / 2 Hours per Week per Semester
  • Self organised studies / 120 Hours
Teaching Materials and Literature:The course materials will be provided through Moodle. 

Literature:
  • Shardt, Yuri: Statistics for Chemical and Process Engineers. A Modern Approach. 2nd edition (2022). DOI: 10.1007/978-3-030-83190-5.
  • Shardt, Yuri (2023): Using MATLAB to Solve Statistical Problems. DOI: 10.1007/978-3-031-40299-9.
  • Shardt, Yuri (2024): Using Excel to Solve Statistical Problems. DOI: 10.1007/978-3-031-65449-7.
Module Examination:Final Module Examination (MAP)
Assessment Mode for Module Examination:
  • Written exam (120 min)
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022 - 1. SÄ 2024
  • Master (research-oriented) / Elektrotechnik / PO 2019 - 1. SÄ 2020
  • Master (research-oriented) / Elektrotechnik / PO 2023
  • Master (research-oriented) / Energietechnik und Energiewirtschaft / PO 2021 - 1. SÄ 2024
  • Master (research-oriented) / Power Engineering / PO 2016 - 1. SÄ 2023
  • Master (research-oriented) - Double Degree / Power Engineering / PO 2016
  • Master (research-oriented) / Wirtschaftsingenieurwesen / PO 2019
  • Master (research-oriented) / Wirtschaftsingenieurwesen / PO 2025
  • Master (research-oriented) - Reduced Semester / Wirtschaftsingenieurwesen / PO 2025
  • Master (research-oriented) - Reduced Semester / Wirtschaftsingenieurwesen - dual / PO 2025
  • Master (research-oriented) - Co-Op Programme with Practical Place / Wirtschaftsingenieurwesen - dual / PO 2025
Remarks:The students should bring a laptop for the exercises.
Module Components:
  • Lecture/exercise Data Analytics and Process Modelling
  • Exam Data Analytics and Process Modelling 
Components to be offered in the Current Semester: