Neural Information Processing

Einführung in die Informatik - Vertiefung

Fortsetzung der LV "Einführung in die Informatik": Boolesche Algebra, Schaltungsentwurf, Algorithmen und Datenstrukturen, Komplexität, Vertiefung objektorientierter Konzepte am Beispiel von Java (Informationen zum Vorkurs, Übungsbetrieb und zur Klausur: ISIS) Für Veranstaltungszeiten, siehe hier.

Praktisches Programmieren und Rechneraufbau

This course is held in German. For more details see ISIS or here.

Master & PhD

Machine Intelligence 2

This is the second of two consecutive courses on topics in machine learning and artificial neural networks. Areas to be covered: (i) Prinicipal Component Analysis (ii) Independent Component Analysis (iii) Stochastic Optimization (iv) Clustering and Embedding (v) Probability Density Estimation. For more details, see here.

Project Neuronal Information Processes

In this course, participants will complete a time-limited project from current research in the field of neural information processing. Topics include not only artificial neural networks, but also modeling and analysis of real neural networks, and applications of machine learning and artificial intelligence. The course is designed as a supervised introduction to independent scientific work. For more details, click here.