Information on individual educational components (ECTS-Course descriptions) per semester

Degree programme: Master Sustainable Energy Systems
Type of degree: FH Master´s Degree Programme
Winter Semester 2021

Course unit title Efficient Systems - Selected Chapters
Course unit code 072722030501
Language of instruction German / English
Type of course unit (compulsory, optional) Compulsory optional
Semester when the course unit is delivered Winter Semester 2021
Teaching hours per week 2
Year of study 2021
Number of ECTS credits allocated Second Cycle (Master)
Number of ECTS credits allocated 3
Name of lecturer(s) Steffen FINCK, Christoph HOFER-TEMMEL

Prerequisites and co-requisites


Course content

Two to three topics based on research articles and/or textbook chapters, e.g:

  • Multi-objective optimisation
  • Model Predictive Control
  • Prognostics and Health Management of Engineering Systems
  • Simplified climate modelling
  • Dynamic optimization
  • Kalman Filter

Learning outcomes

After the course, the students will be familiar with selected current topics in the area of "Efficient Systems". Through the course they have obtained a detailed assessment of their advantages and disadvantages and can apply the learned methods to practical problems. The students can use the presented methods

  • present their basic idea and describe their mode of operation in detail
  • apply on the computer to practical examples
  • critically with regard to their robustness, their computational complexity, their information expenditure and their use.

Planned learning activities and teaching methods

Integrated Course

Assessment methods and criteria
  • Evaluation of exercises in small groups and individual tasks
  • Final examination



Recommended or required reading

Technical literature, further learning resources and aids result from the selected topic. Here are some examples:

  • Calafiore, Giuseppe C.; Laurent, El Ghaoui (2014): Optimization Models. Cambridge: Cambridge University Press.
  • Kallrath, Josef u.a. (2009): Optimization in the Energy Industry. 2009. Aufl. Berlin: Springer.
  • Kovacevic, Raimund M.; Pflug, Georg Ch; Vespucci, Maria Teresa (2013): Handbook of Risk Management in Energy Production and Trading. 2013. Aufl. New York: Springer.
  • Papageorgiou, Markos; Leibold, Marion; Buss, Martin (2009): Optimierung: Statische, Dynamische, Stochastische Verfahren für die Anwendung. 3. neu bearb. und erw. Auflage. Berlin: Springer.
  • Borrelli, Francesco; Bemporad, Alberto; Morari, Manfred (2017): Predictive Control for Linear and Hybrid Systems. Cambridge, United Kingdom ; New York, NY, USA: Cambridge University Press.
  • Stocker, Thomas (2011): Introduction to Climate Modelling. 2011. Aufl. New York: Springer.


Mode of delivery (face-to-face, distance learning)

Presence course. The students are informed of the lecturer's attendance requirements before the start of the course.