This is an introduction to probabilistic and statistical concepts
necessary to understand the basic ideas and methods of stochastic
differential equations. Based on measure theory, which is introduced as
smoothly as possible, it provides practical skills in the use of MAPLE
in the context of probability and its applications. It offers to
graduates and advanced undergraduates an overview and intuitive
background for more advanced studies.