Past courses

June 2019

  • The objective of the course is to introduce the “R programming language” and its IDE “RStudio” for beginners. We will review the basics of the R language, how to write good code, stablish our environment and define projects for future (collaborative) work.
    We will apply a data wrangling workflow based on the tidy approach (“tidyverse” package) and finally, we will review the most common statistical analysis (linear models and some extensions) and visualization techniques for Life Sciences.

October 2018

  • These are two courses, back-to-back: a three-day introductory course, and a two-day specialized course. Students have to register to these courses separately

    1. INTRODUCTION TO FOOD WEB MODELLING WITH ECOPATH WITH ECOSIM

    2. ADVANCED SPATIAL - TEMPORAL MODELLING WITH ECOSPACE

    The introductory course  will discuss basic concepts and modelling procedures of aquatic ecosystems using the Ecopath with Ecosim (EwE) food web modeling approach. Participants will be provided with the principles behind EwE (http://www.ecopath.org), and how to design, parameterize and analyze an ecological model with Ecopath. Introductory concepts of the temporal module Ecosim and the spatial-temporal module Ecospace will be presented.

    The specialized course will discuss in-depth principles of Ecospace, the spatial-temporal module of EwE. Special focus will be paid to the new Ecospace niche model and fisheries management

February 2018

  • En una societat tant tecnològica com en la que ara ens trobem, els nostres infants i nens corren dos riscos importants: es poden deslligar progressivament de la natura que els envolta i, al mateix temps, perdre la seva creativitat i curiositat natural. Els nens de mena són científics – es fan preguntes, sovint sense resposta, volen descobrir, investigar i entendre com funcionen les coses – però amb els anys aquesta virtut pot quedar empetitida si no rep un recolzament adient.
    L'objectiu d’aquest curs es justament aportar diverses eines als mestres que treballen amb nens, eines que els ajudin a potenciar la seva actitud nata de recerca dins d’una temàtica lligada a la natura: l'oceanografia. Per això oferim dos mòduls de formació: un de pràctic i un altre de teòric. En aquests mòduls es subministraran eines per poder dur a terme el mètode científic, prioritzant en tot moment que els nens desenvolupin un amor envers els oceans al mateix temps que mantenen i incrementen les seves qualitats intrínseques de curiositat i creativitat.

  • Background: Species Distribution Models (SDMs) are now widely used in many research fields for several purposes across terrestrial, freshwater, and marine realms. In all these contexts, the main issue is to link information on the presence/absence or abundance of a species to environmental variables to predict where (and how much of) a species is likely to be present in unsampled locations or time periods. In ecology, SDMs have been implemented in different theoretical and practical cases, including the identification of critical habitats, the study of the risk associated with invasive species, the potential effects of climate change, the design of protected areas and delineation of hot spots of biodiversity and species richness.
    Many algorithms of spatial distribution models can be used to predict the distribution of species, however, these algorithms do not always provide accurate results as data can includes a large amount of variability and errors due to multiple factors (errors in the identification of the species, errors in taking the geographical coordinates, etc.). In this context, Bayesian spatial-temporal methods have several advantages over traditional ones, since they provide a more realistic and accurate estimate of uncertainty.

    Objective: The general objective of this course is to provide a critical view of the existing techniques of species distribution models with a frequentist and Bayesian approach, discussing their strengths and limitations. At the end of the course, participants will learn about:

    1. Formal knowledge about the main statistical approaches relating to SDMs;

    2. Specific examples of SDMs with different model algorithms (GAMs, Random Forest, Boosted Regression Trees) using a frequentist approach;

    3. An introduction to the Bayesian inference and modeling framework;

    4. Specific examples of SDMs using a Bayesian approach.

November 2017

June 2017

  • The advancement of next generation sequencing has moved biology science toward the post-genomics era. This course will provide the participants with the initial foundation for simple data analysis methodologies in RNA sequencing (RNA-Seq). Lectures will give insight into how biological knowledge can be generated from RNA-Seq and also hands-on training on the latest analytical approaches. This course's target audience is researchers and early stage PhD students in the field of marine biology and aquaculture with little to no knowledge of RNA-Seq technology but planning to explore (and apply) high throughput sequencing technologies and bioinformatics methods in their research.

May 2017

  • To become a successful scientist, it is not sufficient to have a good theoretical background and to learn innovative technical skills, it is necessary to develop good writing skills so that you can efficiently communicate your ideas and results. Your articles and proposals need to be attractive and informative so that they get read and cited. This course aims at providing conceptual criteria and practical examples on scientific writing style, and useful suggestions on how to plan, draft, and write the final version of your paper.

    The lecturer has extensive teaching and scientific writing experience, he has advised 13 PhD dissertations and many more MSc thesis. You may find recent writing samples in Rosell-Fieschi et al. (2013), Pelegrí et al. (2013), Benazzouz et al. (2014), Rosell-Fieschi et al. (2014).

February 2017

  • En una societat tant tecnològica com en la que ara ens trobem, els nostres infants i nens corren dos riscos importants: es poden deslligar progressivament de la natura que els envolta i, al mateix temps, perdre la seva creativitat i curiositat natural. Els nens de mena són científics – es fan preguntes, sovint sense resposta, volen descobrir, investigar i entendre com funcionen les coses – però amb els anys aquesta virtut pot quedar empetitida si no rep un recolzament adient.
    L'objectiu d’aquest curs es justament aportar diverses eines als mestres que treballen amb nens, eines que els ajudin a potenciar la seva actitud nata de recerca dins d’una temàtica lligada a la natura: l'oceanografia. Per això oferim dos mòduls de formació: un de pràctic i un altre de teòric. En aquests mòduls es subministraran eines per poder dur a terme el mètode científic, prioritzant en tot moment que els nens desenvolupin un amor envers els oceans al mateix temps que mantenen i incrementen les seves qualitats intrínseques de curiositat i creativitat.

January 2017

  • The participant will be introduced to the main concepts of Ocean Dynamics for rotating and stratified turbulent fluids. The course is structured around ten main topics, each to be covered in one day. Each topic will have a theoretical background, where fundamental concepts will be discussed, and a practical exercise, where a laboratory and/or computer exercise will be discussed, developed and applied. After completing the course the participant will have an intermediate knowledge of the major blocks underlying the dynamics of ocean circulation and mixing.

  • The participant will be introduced to the main concepts of Ocean Dynamics for rotating and stratified turbulent fluids. The course is structured around ten main topics, each to be covered in one day. Each topic will have a theoretical background, where fundamental concepts will be discussed, and a practical exercise, where a laboratory and/or computer exercise will be discussed, developed and applied. After completing the course the participant will have an intermediate knowledge of the major blocks underlying the dynamics of ocean circulation and mixing.

June 2016

  • This approach leads to many interesting, practical, multidisciplinary, and surprisingly overlooked applications for research and natural resource management.

    Coursework will be divided between lecture and use of modelling software (provided); students will need access to computer laptops (or share with a partner) and will work in groups on applied problems.

May 2016

April 2016

  • To become a successful scientist, it is not sufficient to have a good theoretical background and to learn innovative technical skills, it is necessary to develop good writing skills so that you can efficiently communicate your ideas and results. Your articles and proposals need to be attractive and informative so that they get read and cited. This course aims at providing conceptual criteria and practical examples on scientific writing style, and useful suggestions on how to plan, draft, and write the final version of your paper.

    The lecturer has extensive teaching and scientific writing experience, he has advised 13 PhD dissertations and many more MSc thesis. You may find recent writing samples in Rosell-Fieschi et al. (2013), Pelegrí et al. (2013), Benazzouz et al. (2014), Rosell-Fieschi et al. (2014).

February 2016

  • This course is going to be related to data analysis with the R language. It will be directed to people with no idea or a starting knowledge of R. The main objectives of the course will be: 1) know how to install and run R in your computer (Linux, Mac or PC), working with different text editors (Emacs and RStudio); 2) know how to install different packages related to your own work; 3) know how to work with objects and data.frames; 4) write scripts with R; 5) import data from other programs (i.e XL); 5) work with dates; 6) perform basic statistical analysis and modeling with R; and 7) plot basic graphs with R.

November 2015

  • The participant will be introduced to the main concepts of Ocean Dynamics for rotating and stratified turbulent fluids. The course is structured around ten main topics, each to be covered in one day. Each topic will have a theoretical background, where fundamental concepts will be discussed, and a practical exercise, where a laboratory and/or computer exercise will be discussed, developed and applied. After completing the course the participant will have an intermediate knowledge of the major blocks underlying the dynamics of ocean circulation and mixing.

  • The participant will be introduced to the main concepts of Ocean Dynamics for rotating and stratified turbulent fluids. The course is structured around ten main topics, each to be covered in one day. Each topic will have a theoretical background, where fundamental concepts will be discussed, and a practical exercise, where a laboratory and/or computer exercise will be discussed, developed and applied. After completing the course the participant will have an intermediate knowledge of the major blocks underlying the dynamics of ocean circulation and mixing.

September 2015

  • This course is going to be related to data analysis with the R language. It will be directed to people with no idea or a starting knowledge of R. The main objectives of the course will be: 1) know how to install and run R in your computer (Linux, Mac or PC), working with different text editors (Emacs and RStudio); 2) know how to install different packages related to your own work; 3) know how to work with objects and data.frames; 4) write scripts with R; 5) import data from other programs (i.e XL); 5) work with dates; 6) perform basic statistical analysis and modeling with R; and 7) plot basic graphs with R.

  • To become a successful scientist, it is not sufficient to have a good theoretical background and to learn innovative technical skills, it is necessary to develop good writing skills so that you can efficiently communicate your ideas and results. Your articles and proposals need to be attractive and informative so that they get read and cited. This course aims at providing conceptual criteria and practical examples on scientific writing style, and useful suggestions on how to plan, draft, and write the final version of your paper.

    The lecturer has extensive teaching and scientific writing experience, he has advised 13 PhD dissertations and many more MSc thesis. You may find recent writing samples in Rosell-Fieschi et al. (2013), Pelegrí et al. (2013), Benazzouz et al. (2014), Rosell-Fieschi et al. (2014).

March 2015

February 2015

  • This course consists of 5 sessions of 2h long each and will provide first an introductory survey of modern theoretical ecology (2 sessions) and second the essential elements required to simulate ecological foodweb dynamics using computer programming for scientific research (3 sessions). We will use Matlab / Octave(*) as programming language.

    (*) http://www.gnu.org/software/octave/

  • MATLAB is a very popular and widely used programming language and MATLAB proficiency is expected nowadays in many scientific fields. The goal of the course is to provide an introduction to MATLAB for people with some basic programming and computing skills. The students will learn how to work with variables, create scripts, analyze data, create figures, compute derivatives and integrals numerically, solve Ordinary Differential Equations and Partial Differential Equations in simple domains, etc.

January 2015

  • This course is going to be related to data analysis with the R language. It will be directed to people with no idea or a starting knowledge of R. The main objectives of the course will be: 1) know how to install and run R in your computer (Linux, Mac or PC), working with different text editors (Emacs and RStudio); 2) know how to install different packages related to your own work; 3) know how to work with objects and data.frames; 4) write scripts with R; 5) import data from other programs (i.e XL); 5) work with dates; 6) perform basic statistical analysis and modeling with R; and 7) plot basic graphs with R.

  • To become a successful scientist, it is not sufficient to have a good theoretical background and to learn innovative technical skills, it is necessary to develop good writing skills so that you can efficiently communicate your ideas and results. Your articles and proposals need to be attractive and informative so that they get read and cited. This course aims at providing conceptual criteria and practical examples on scientific writing style, and useful suggestions on how to plan, draft, and write the final version of your paper.

    The lecturer has extensive teaching and scientific writing experience, he has advised 13 PhD dissertations and many more MSc thesis. You may find recent writing samples in Rosell-Fieschi et al. (2013), Pelegrí et al. (2013), Benazzouz et al. (2014), Rosell-Fieschi et al. (2014).

  • The Seismic Oceanography course consists in a general overview for Masters and Ph.D. Students. The course will cover topics such as the sizes and scales of observable features in the ocean, concepts of acoustic wave propagation, acquisition, source frequency content and vertical and horizontal resolution. Concepts of digital signal processing will be introduced with in-class practical demonstrations.

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