Machine Learning in Electromagnetic Compatibility (EMC) Engineering (VL) |
Untertitel: |
This course is part of the module: Machine Learning in Electrical Engineering and Information Technology |
DozentIn: |
Prof. Dr. sc. techn. Christian Schuster, Dr. Cheng Yang |
Veranstaltungstyp: |
Vorlesung |
Beschreibung: |
Electromagnetic Compatibility (EMC) Engineering dealswith design, simulation, measurement, and certification of electronic andelectric components and systems in such a way that their operation is safe,reliable, and efficient in any possible application. Safety is herebyunderstood as safe with respect to parasitic effects of electromagnetic fieldson humans as well as on the operation of other components and systems nearby.Examples for components and systems range from the wiring in aircraft and shipsto high-speed interconnects in server systems and wirless interfaces for brainimplants. In this part of the course we will give an introduction to thephysical basics of EMC engineering and then show how methods of MachineLearning (ML) can be applied to expand todays physcis-based approaches in EMCEngineering. |
Ort: |
nicht angegeben |
Semester: |
SoSe 24 |
Veranstaltungsnummer: |
lv3006_s24 |
Leistungsnachweis: |
m1785-2022 - Machine Learning in Electrical Engineering and Information Technology<ul><li>p1778-2022 - Machine Learning in Electrical Engineering and Information Technology: mündlich</li></ul> |
Bereichseinordnung: |
Technische Universität Hamburg (TUHH) |
ECTS-Kreditpunkte: |
1 |
Weitere Informationen aus Stud.IP zu dieser Veranstaltung |
Heimatinstitut: Institut für Theoretische Elektrotechnik (E-18) In Stud.IP angemeldete Teilnehmer: 2 |