Teaching
Courses
The Energy&IT group participates as teaching staff in the following courses:
384.141, Fachvertiefung – Softwareentwicklung VU, 2021W, 4.0h, 5.0EC
384.146, Smart Grids VO, 2021W, 2.0h, 3.0EC
384.171, Sensornetzwerke PR, 2021W, 4.0h, 6.0EC
384.173, Mikrocomputer VU, 2021W, 3.0h, 4.0EC
370.038, Labor Smart Grids UE, 2021S, 2.0h, 3.0EC
384.061, Objektorientiertes Programmieren VU, 2021S, 2.0h, 3.0EC
384.139, Fachvertiefung – Computersysteme VU, 2021S, 4.0h, 5.0EC
Open Thesis Topics
The Energy&IT group offers theses in the domains of Smart Grid, Automation/Industry and Artificial Intelligence to excellent bachelor and master students. If you are interested, please contact the Energy&IT group.
Supervised Theses
The following bachelor and master theses were supervised by Energy&IT group members (uncomplete list):
“Analysing and extending model-free condition monitoring with confidence” by Daniel Schnöll (2021)
“Erhebung des Energieverbrauchs von Spielekonsolen der achten Generation” by Mirsad Karat (2021)
“Pattern recognition in a heterogeneous smart grid environment” by Matthias Bittner (2021)
“Implementation of a multi-band RTK receiver system with Arduino” by Edwin Willegger (2020)
“Solutions for automation of LV-substations in a G3-PLC network” by Behzad Parvin (2020)
“Distributed optimization in electrical grids – simulation and validation” by Clemens Korner (2019)