### Instruction

Name | Cr | Method of study | Time | Location | Organiser |
---|---|---|---|---|---|

Topics in probability I | 5 Cr | Lecture Course | 13.1.2020 - 25.2.2020 |

Name | Cr | Method of study | Time | Location | Organiser |
---|---|---|---|---|---|

Topics in probability I | 5 Cr | General Examination | 11.4.2018 - 11.4.2018 | ||

Topics in probability I | 5 Cr | Lecture Course | 15.1.2018 - 1.3.2018 |

### Target group

Optional course.

Master's Programme in Mathematics and Statistics is responsible for the course.

The course belongs to the Mathematics and Applied mathematics module.

The course is available to students from other degree programmes.

### Prerequisites

Probability theory I,II, and their prerequisites

### Learning outcomes

A collection of topics in probability and/or stochastic processes

### Timing

Recommended time/stage of studies for completion: 1. or 2. year

Term/teaching period when the course will be offered: varying

### Contents

Some of the following: general aspects of stochastic processes, Markov chains and processes, Brownian motion, ergodic theory, large deviations and concentration of measure, geometric probability, integrable probability, point processes and determinantal processes, random graphs

### Activities and teaching methods in support of learning

Lectures and exercise classes

### Study materials

Lectures

### Assessment practices and criteria

Exam and excercises, Course will be graded with grades 1-5

### Completion methods

Exam, other methods will be described later