Image and signal processing affect our daily lives in an ever-increasing way. Participate in designing this fascinating technology and shape IT‘s future.

Computational geometry is the study of the design and analysis of efficient algorithms for solving problems with a geometric flavor. We will discuss geometric searching, convex hulls, Voronoi diagrams, straight skeletons and triangulations

Concepts for encryption, authentification and robust labelling of multimedia data are presented and their application in media forensics is discussed.

Modern architectures for processing images and signals require tailored implementations of algorithmic concepts which exploit the functional framework of the hardware environment and achieve the best possible performance.

Machine learning is the study of how to program computers to „learn“ from available input data. In other words, it is the process of converting experience in the form of training data into expertise to solve a variety of different tasks.

Students get to know the most popular tools and libraries, and acquire competences in designing solutions for tomorrow‘s medical technology.

Students study biometric technologies and learn the most common modalities for the identification of individuals. Implications on security and privacy are discussed

Students get known to technical and organizational challenges imposed by big data applications and understand methods and algorithms for data-intensive software development.