With emphasis on stochastic aspects of deterministic systems this short book introduces the
reader to the basic facts and some special topics of applied ergodic theory. It adresses
advanced undergraduate and graduate students from various disciplines i.e. mathematicians
physicists electrical and mechanical engineers. Based upon a sound (but non-technical)
mathematical introduction a number of typical examples from applications (mostly from
mechanics) are thoroughly discussed. By studying both probabilistic and deterministic features
of dynamical systems the reader will develop what might be considered a unified view on chaos
and chance as two sides of the same thing.
