Hafid Laayouni

Contact details:

Position

Associate Professor - BDBI Head of Studies

Qualifications

Master’s Degree in Genetics
PhD in Biological Sciences (UAB)

Biography

Hafid Laayouni is a lecturer and Head of Studies for the BDBI. His research lines focus on genomics, evolutionary biology and human health, and his teaching centres on bioinformatics and statistics applied to the life sciences. He is also associate professor at CEXS-UPF and visiting professor for the Master’s Degree in Bioinformatics and Computational Biology at the Carlos III Health Institute (ISCIII) in Madrid. He has published some 50 peer-reviewed papers on human evolutionary history, recombination analysis, network analysis and genetic epidemiology.

Publications available at http://www.ncbi.nlm.nih.gov/pubmed/?term=laayouni+h

Subjects they teach

Subject
Programme
Typology

Biostatistics and Data Analysis

Bachelor's Degree in Bioinformatics

Required

Programme:
Bachelor's Degree in Bioinformatics

Description

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.

Code:
51205

Créditos:
4 ECTS

Language:
English

Type of subject: Required

Syllabus

Introduction to Bioinformatics

Bachelor's Degree in Bioinformatics

Core

Programme:
Bachelor's Degree in Bioinformatics

Description

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.

Code:
51101

Créditos:
6 ECTS

Language:
English

Type of subject: Core

Syllabus

Optional Internship

Bachelor's Degree in Bioinformatics

Elective

Programme:
Bachelor's Degree in Bioinformatics

Description

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.

Code:
50920

Créditos:
20 ECTS

Language:
English

Type of subject: Elective

Syllabus