This lecture presents standard algorithms and new developments of Artificial Neural Networks, their functioning, application domains, and connections to more conventional mathematical methods. Examples show the potential and limitations of the methods. Supervised as well as unsupervised learning methods are introduced.

Certificate: Upon successful completion of the exercises (1 HPW)