PROBABILITY THEORY AND DISCRETE MATHEMATICS | FMA661 |

**Aim**

The course has two main aims:

1) to present the basics of discrete mathematics, with particular emphasis on concepts which are important in computer science.

2) to give a general introduction to probability theory.

*Knowledge and understanding*

For a passing grade the student must

- have good knowledge of how to carry through a proof in an (informal but) logically correct way.
- in practical situations be able to identify and do computations on different combinatorial ways of selection.
- have good knowledge of and understanding of functions and relations, as well as related concepts.
- have a good understanding of the basic concepts in probability theory: independent events, probability, discrete and continuous distributions, expectation and variance.
- have knowledge about how to compute, from a specific distribution, the probability of an event and the expectation and variance, and be able to show capability to carry out the computations essentially correct.

*Skills and abilities*

For a passing grade the student must

- be able to show good computational ability within the different parts of the course.
- in connection with problem solving be able to show capability to integrate methods from different part of the course.
- be able to show capability to explain a mathematical reasoning in a well structured and logically clear way.

**Contents**

Sets. Logic. Proof techniques. Combinatorics. Recursion. Relations. Functions.

The probability axioms. Conditional probability. Independent events. Stochastic variables. Expectation and variance. The normal distribution, the binomial distribution and other important distributions. Functions of stochastic variables.

**Literature**

Vännman, K: Matematisk statistik. Studentlitteratur 2 uppl 2001. ISBN: 91-44-01690-5.

Eriksson, K & Gavel, H: Diskret matematik och diskreta modeller. Studentlitteratur 2002. ISBN: 91-44-02465-7.