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

Efficient Systems - Selected Chapters

Degree programme Sustainable Energy Systems
Subject area Engineering Technology
Type of degree Master
Winter Semester 2023
Course unit title Efficient Systems - Selected Chapters
Course unit code 072722030501
Language of instruction German, English
Type of course unit (compulsory, optional) Compulsory optional
Teaching hours per week 2
Year of study 2023
Level of the course / module according to the curriculum
Number of ECTS credits allocated 3
Name of lecturer(s) Subodha Tharangi Ireshika MUHANDIRAM ARACHCHIGE
Requirements and Prerequisites


Course content

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

  • Mixed Integer Linear Programming
  • Direct search methods
  • Randomised Search Methods 
  • Dynamic and Uncertain Optimisation
  • Multi-objective optimisation
  • Application from the energy and climate domain
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

Written exam



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.
  • Eiben, Gusz; Smith, James E. (2015): Introduction to Evolutionary Computing. 2nd Edition. Springer: Berlin, Heidelberg.
  • Conn, Andrew R.; Scheinberg, Katya; Vicente, Luis N. (2009): Introduction to Derivative-free Optimization. SIAM.


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.