Teaching in the winter term 2021/22

Teaching at TU Hamburg 2021/22 is predominantly face-to-face. Hybrid and digital formats and courses are still possible. Changes, depending on the current pandemic situation are possible.

The following courses will be held in attendance:

  • Theoretical Electrical Engineering II Lecture & Exercise (Tuesday, Thursday and Friday)
  • Electromagnetics for Engineers II Lecture & Exercise
  • Bioelectromagnetics Exercise
  • Electromagnetic Compatibility II practical course
  • Seminar on Electromagnetic Compatibility and Electrical Power System

In the coming semester, the 3Grule (vaccinated, recovered, tested) apllies for participation in course and examination in attendance.

The following course will take place online using the conferencing system zoom:

  • Bioelectromagnetics Lecture
  • Electromagnetic Compatibility II Lecture & Exercise
  • Theoretical Electrical Engineering II Exercise (Wednesday)

The times for the courses can be found at Stud.IP and the campus mangement TUHH TUNE.


The Institut für Theoretische Elektrotechnik is part of the School of Electrical Engineering, Computer Science, and Mathematics of the Hamburg University of Technology, Germany. Areas of interest of the institute cover many aspects of theory, computation, and application of electromagnetic field properties. Special focus is put on:

  • Numerical methods for computation of electromagnetic fiels and electrical circuits
  • Signal and power integrity (SI/PI) as well as electromagnetic compatibility (EMC) of electronic systems
  • Bioelectromagnetics and field design for medical imaging
  • Microwave measurement techniques and components

The Institute for Electromagnetic Theory participates in the following coordinated research initiatives: ForLab-HELIOS (Hamburg Microelectronics Laboratory for Integrated Optoelectronic System) and MLE@TUHH (Machine Learning in Engineering @ TUHH):

  • ForLab-HELIOS is jointly carried out by four institutes from TUHH and partner institutes from the University of Hamburg and is financially supported by the federal government’s framework program for research and innovation.
  • MLE@TUHH is an initiative for combining competences in the field of machine learning at TUHH with the aim of transfering knowledge to business and industry. Students, doctoral candidates, postdocs, and professors from all disciplines at TUHH together with colleagues from the Helmholtz Center Geesthacht are committed to making methods and applications of machine learning better known and to building a network for scientific exchange.