inf5130 - Socio-technical Energy Systems (Complete module description)

inf5130 - Socio-technical Energy Systems (Complete module description)

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Module label Socio-technical Energy Systems
Modulkürzel inf5130
Credit points 3.0 KP
Workload 90 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Master's Programme Computing Science (Master) > Angewandte Informatik
  • Master's programme Digitalised Energy Systems (Master) > Innovation Topics and Smart Grids
Zuständige Personen
  • Lehnhoff, Sebastian (module responsibility)
  • Bremer, Jörg (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)

No participant requirements

Skills to be acquired in this module

The students learn to consider human needs right from the beginning in the design process of Human Cyber Physical Energy Systems. A human- centered design is at the core as an approach to interactive systems development that aims to make systems usable and useful by focusing on the users; and to develop systems that are aware of (NOT rationally acting) humans when making decision.
Professional competences
The students

  • recognise the energy system as a human cyber physical system with a steadily growing degree of autonomy
  • identify the potential for conflict that arises when humans interact with cyber physical systems
  • model human-system-interaction
  • recognise, evaluate and contrast approaches to self-explaining AI

Methological competences
The students

  • examine tasks with technical and research literature, write an academic article and present their solutions academically
  • evaluate problems of socio-technical energy system
  • schedule time processes and resources

Social competences
The students

  • communicate with colleagues and experts convincingly

Self competences
The students

  • pursue the integration of humans and human behaviour into cyber physical energy systems critically
  • develop and reflect self-developed hypotheses to theories independently
Module contents
  • Simulation (and prediction) of human behaviour and decisions
  • Modeling user behaviour in human cyber physical systems
  • Self-explaining and justifying AI

Will be announced in the course

Language of instruction English
Duration (semesters) 1 Semester
Module frequency irregular
Module capacity unlimited
Teaching/Learning method V oder S
Previous knowledge none
Examination Prüfungszeiten Type of examination
Final exam of module

at the end of the lecture period

term paper

Form of instruction Course or seminar
Frequency WiSe
Workload Präsenzzeit 28 h