Revolution IX: descriptive statistics, hypothesis testing and quantitative ecology analysis in biological research | CCMAR
  • Cientistas salvam corais após tempestades e pedem a sua ajuda
    Investigadores do Centro de Ciências do Mar (CCMAR) estão a recolher um tipo de corais chamados gorgónias, que deram à costa após as recentes tempestades, para as transplantar de volta ao seu habitat natural.
  • ATT: Marine Biogeochemistry Training School
    Faro, Portugal, from the 5th to the 8th of June, 2018. Registration and Fellowship details.
  • Seminários do CCMAR
    Todas as semanas organizamos seminários. É uma oportunidade para dar a conhecer o que fazemos e também promover parcerias com outras instituições e empresas. Entrada livre. Veja o programa completo!
  • CCMAR é o único parceiro português em dois projetos europeus de Aquacultura
    O Centro de Ciências do Mar (CCMAR) é parceiro em dois grandes projetos, financiados pela União Europeia, através de fundos H2020, o PerformFISH e o MedAID. Ambos os projetos serão desenvolvidos por equipas do CCMAR, durante os próximos anos.
  • SIBIC2018
    VII Congress of the Iberian Society for Ichthyology, Faro, Portugal, from the 12th to the 16th of June, 2018. REGISTER NOW
  • 24th IUPAC International Conference on Physical Organic Chemistry (ICPOC 24)
    Will take place in Portugal, Faro, from 1 to 6 July 2018.
 

Revolution IX: descriptive statistics, hypothesis testing and quantitative ecology analysis in biological research

Segunda, 7 Maio, 2018 a Sexta, 18 Maio, 2018
at 
tba
 

DESCRIPTION

Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This course provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity.

The course is addressed to people who were perhaps more confused than enlightened by their lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The course’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis.

EXPECTED LEARNING OUTCOMES

This course does not intend to be a full introduction to statistics. The objective is to review the state-of-the-art statistical methods for analysis of ecological data, demonstrating the power of open source statistical software. We will provide hands-on experience for standard data analysis (cookbook), enabling participants to use the software on their own problems (take-home software).

The focus will be on giving the participants practical experience with R statistical software. The course material will be a blend of introductory lectures on R and practical sessions. Finally, we will walk through quantitative ecology concepts and methodologies, including sampling design, data preparation, diversity analyses, basic ANOVA methods, hypothesis testing, diversity analysis and linear modelling.

COURSE FORMAT

This course is divided into 10 theoretical-practical sessions of 4 hours long, including assignments through which you can practice your mastery under supervision. Sessions will take place during the afternoon (14:00 - 18:00 h).

(CLICK HERE)

We will provide students with a selection of data sets with which to work, however participants are encouraged to bring their own data.

 

REGISTER

 

LOCATION AND DURATION

Faro. Campus de Gambelas, Universidade do Algarve. Portugal

 

PRE-REQUISITES

 

This course requires some prior experience in statistics and elemental mathematics. Knowing object-oriented programming is not needed.

 

REGISTRATION FEE

Students: 250 €*
Other participants: 350 €

REGISTER

(Max. participants 10)

 

GRANTS

*We offer 4 grants for students. The grant will cover the half of the expenses for the course. Register to apply.

REGISTER

 

DEADLINES

Call for grants: 30 April
Resolution of grants: April
Registrations: May
Start sessions: May

INSTRUCTOR

Fernando Canovas is a postdoctoral fellow who belongs to the Marine Resources Management Team (maresma.org) at the Centre of Marine Sciences (CCMar). He is
interested in solving questions about biology and evolution of species and populations by integrating genetic and quantitative ecology tools.

 

INFO

Poster

 

REGISTER

Activity type 
ATT