# 401-0613-00L Probability and Statistics

Semester | Autumn Semester 2016 |

Lecturers | J. Teichmann |

Periodicity | yearly recurring course |

Language of instruction | German |

Abstract | Basic concepts from probability and statistics: - introduction to probability theory - short introduction to basic concepts and methods from statistics |

Objective | a) ability to understand the covered methods from probability theory and to apply them in other contexts b) probabilistic thinking and stochastic modelling c) ability to perform basic statistical tests and to interpret the results |

Content | Basic concepts from probability and statistics with special emphasis on the topics needed in computer science The conceptual goals are - the laws of randomness and probabilistic thinking (thinking in probabilities) - understanding and intuition for stochastic modelling - simple and basic methods from statistics The contents of the course encompasses - an introduction to probability theory: basic concepts (probability space, probability measure), independence, random variables, discrete and continuous distributions, conditional probability, expectation and variance, limit theorems - methods from statistics: parameter estimation, maximum likelihood and moment methods, tests, confidence intervals |

Lecture notes | Lecture notes for the course (in German) will be made available electronically at the beginning of the course. |