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

Module label	Socio-technical Energy Systems
Module code	inf5130
Credit points	3.0 KP
Workload	90 h
Institute directory	Department of Computing Science
Applicability of the module	Master's Programme Computing Science (Master) > Angewandte Informatik Master's programme Digitalised Energy Systems (Master) > Innovation Topics and Smart Grids
Responsible persons	Lehnhoff, Sebastian (module responsibility) Bremer, Jörg (module responsibility) Lehrenden, Die im Modul (authorised to take exams)
Prerequisites	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
Recommended reading	Will be announced in the assigned course
Links
Language of instruction	English
Duration (semesters)	1 Semester
Module frequency	irregular
Module capacity	unlimited
Teaching/Learning method	V oder S

Examination	Prüfungszeiten	Type of examination
Final exam of module	at the end of the lecture period	term paper

Type of course	Course or seminar
SWS	2
Frequency	WiSe
Workload attendance time	28 h