Teaching

Astronomie I Our group is responsible for the Astronomie I lecture, held in German, which is a general introduction to astronomy for (mainly) 1st semester students. The content includes: Kapitel 1: Geschichte der Astronomie Kapitel 2: Unser Sonnensystem Kapitel 3: Die Sonne Kapitel 4: Space Weather Kapitel 5: Spektroskopie, Strahlungstransport Kapitel 6: Gravitationswellen, Interferometrie Kapitel 7: Sternatmosphären Kapitel 8: Sterne und ihre Entwicklung Kapitel 9: Teleskope und Beobachtungen The lecture includes exercises of building a telescope, visiting an inflatable planetarium, and fabricating star charts.

Modeling Techniques in Physics The Modeling Techniques in Physics lecture is held during the 5th semester. It consists of 4 parts: ordinary differential equations, partial differential equations, Monte Carlo simulations and machine learning. Our group is responsible for the machine learning part. The content includes: Introduction to ML, Unsupervised techniques Clustering, k-means, PCA, outlier detection Supervised techniques Linear and logistic regression, regularization k nearest neighbors, SVM Perceptron, neural networks Optimization (gradient descent, backpropagation) Binary classification – multiclass classification Convolutional neural networks Encoder, VAE, GAN, ChatGPT The lecture includes programming exercises. Interested students are welcome to deepen their knowledge in MSc theses.