Teaching & Outreach
Teaching
Deep Learning
Introduction to deep learning, including feedforward neural networks, convolutional neural networks and recurrent neural networks.
Past courseSignals and Systems I
Introduction to continuous signals and linear time-invariant systems: impulses, convolution, Fourier and Laplace transforms, state-space, transfer functions, stability, causality, and sampling.
Past courseFoundations of Electrical Engineering I
(German) Electrostatic, steady current, magnetic, and electromagnetic fields, DC and AC networks, complex AC analysis, semiconductor devices and basic circuits including diodes, bipolar transistors, and IGBTs.
Past courseOutreach
UNIQ
Introduction Course to medical image processing and Machine Learning for grade 12 students.
Past coursePodcasts
YouTube Podcast (German) about my academic journey so far.