inf517 - Introduction to Energy Informatics (Complete module description)

inf517 - Introduction to Energy Informatics (Complete module description)

Original version English PDF Download
Module label Introduction to Energy Informatics
Modulkürzel inf517
Credit points 3.0 KP
Workload 90 h
()
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Bachelor's Programme Business Informatics (Bachelor) >
  • Bachelor's Programme Computing Science (Bachelor) >
  • Master of Education Programme (Vocational and Business Education) Computing Science (Master of Education) >
Zuständige Personen
  • Nieße, Astrid (module responsibility)
  • Vogel-Sonnenschein, Ute (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites
Skills to be acquired in this module
The students learn to identify the borders of their disciplinary background when going to the field. Additionally, they learn to identify research questions and how to approach them.
Professional competence
The students
  • learn to identify the borders of their disciplinary background when going to the field. Additionally, they learn to identify research questions and how to approach them.
Methodological competence
The students
  • will know how computer science methods can be applied to energy systems and energy research.
Social competence
The Students
  • discuss in an interdisciplinary context in an appreciative manner.
Module contents

This module gives an overview about different topics in the field of energy informatics.
In the lecture, the role of computer science in the energy domain is presented on the base of different topics to illustrate the links between energy technology and management and computer science.
Some examples are:

  • Energy markets
  • Network planning & operations management
  • Virtual power plants
  • Demand side management and flexibility
Literaturempfehlungen
Links
Language of instruction German
Duration (semesters) 1 Semester
Module frequency irregular
Module capacity unlimited
Teaching/Learning method V
Previous knowledge Basic knowledge in the field of power engineering or computer science can be brought in, but is not a prerequisite.
Examination Prüfungszeiten Type of examination
Final exam of module
At the end of the lecture time
Exam
Form of instruction Lecture
SWS 2
Frequency siehe Angebotsrhythmus Modul