Hafid Laayouni

Preliminaries on probability and biostatistics using real bioinformatics data. Starting from a bioinformatics research question, the course explores how to design a scientific study and how to get meaningful data. Basic probability concepts, and first principles on estimation and hypothesis testing are covered. R programming language is introduced to explore and visualise data and do basic statistical analysis.

Internships are carried out by students under university supervision in public administrations, the private sector and NGOs. The internship programme gives students the opportunity to apply and complement the knowledge acquired in their academic training and provides them with firsthand experience of the profession, which will prove extremely valuable when they come to seek employment.

General aspects of how the University works. Characteristics of the degrees on offer. Study strategies, learning techniques and finding information. Current state of the art, areas of knowledge and challenges in the professional and productive field of bioinformatics. Basic and applied fields of research relevant to the context of bioinformatics and biomedicine. Intuitive introduction to various concepts, phenomena, principles and methods studied in bioinformatics to give students an idea of real-life problems and help them interpret biological phenomena and formulate them mathematically, as well as helping to confirm/reinforce students’ interest in bioinformatics and biomedical research.