It is intended that students acquire skills in identifying situations in which the theory of probability and statistical inference methods are suitable tools for quantitative analysis of databases generated in the field of bioinformatics. To do this, students will complement their knowledge of basic concepts in probability theory and statistical inference; obtain ease in handling the statistical software R, using a large number of resources and introducing the student to programming in this environment. It is intended, also, that students become familiar with the probabilistic models of discrete time stochastic processes and acquire basic training in resampling techniques (bootstrap) as a tool for implementation and evaluation of different statistical algorithms.
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
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