Two Fisheries Biology in R courses (introductory and advanced) are offered to scientists
interested in fisheries biology data analysis and stock assessment in data-poor areas.

Separate registration is required. Both courses are in English.

For more information please contact us by email (FishBioR@bio.auth.gr) or phone (0030 2310 998279).
Course coordinator: Athanassios Tsikliras, Associate Professor (atsik@bio.auth.gr)

Introductory Course

Basic methods

14-18 October 2019

Aristotle University of Thessaloniki
Thessaloniki, Greece

Deadline for applications
15 September 2019

An introductory course for scientists interested in fisheries biology methods, data analysis and statistics, basic concepts of stock assessment, as well as stylish graphical presentation of data.

Advanced Course

Stock assessment

11-15 November 2019

Aristotle University of Thessaloniki
Thessaloniki, Greece

Deadline for applications
30 September 2019

An advanced stock assessment course for scientists interested in assessment of data-poor fisheries that includes novel methods based on catch and resilience (CMSY), abundance (AMSY) and length frequency data (LBB).

 

 

 

 

 

 

 

 

 

 

  • Dates

    Monday 14 to Friday 18 October 2019

  • Time

    9.00-13.00 and 14.00-18.00

  • Venue

    Aristotle University of Thessaloniki

    Thessaloniki, Greece

Instructors


Athanassios Tsikliras
Laboratory of Ichthyology, School of Biology,
Aristotle University of Thessaloniki, Greece


Androniki
Pardalou
Laboratory of Ichthyology, School of Biology,
Aristotle University of Thessaloniki, Greece


Donna Dimarchopoulou
Laboratory of Ichthyology, School of Biology,
Aristotle University of Thessaloniki, Greece

  • Dates

    Monday 11 to Friday 15 November 2019

  • Time

    9.00-13.00 and 14.00-18.00

  • Venue

    Aristotle University of Thessaloniki

    Thessaloniki, Greece

Instructors


Rainer Froese
GEOMAR Helmholtz Centre for Ocean Research
Kiel, Germany

 
Henning Winker
Centre for Statistics in Ecology Environment and Conservation
University of Cape Town, South Africa


Athanassios Tsikliras
Laboratory of Ichthyology, School of Biology
Aristotle University of Thessaloniki, Greece

DAY 1

Introduction to R
Importing files, basic commands

DAY 2

Length-weight relationships
Growth parameters

DAY 3

Size at maturity
Gonadosomatic index

DAY 4

Mortality
Creating beautiful and meaningful plots

DAY 5

Surplus production models
Exams based on real data

In addition to the electronic application form, applicants should submit a short CV (please DO NOT use europass format) and a short motivation letter (200 words) to Athanassios Tsikliras (FishBioR@bio.auth.gr). The CV should include -but not be restricted to- education (degrees, similar seminars etc), previous working experience, languages spoken, participation to conferences/seminars and published items.

An undergraduate degree in Marine Biology, Ecology, Oceanography, Fisheries Science, Aquaculture, Environmental Science, Marine Engineering, Physics, Mathematics, Statistics, Economics and a very good knowledge of English is required.

Knowledge of basic fisheries and fish biology concepts would be very helpful.

Participants are required to bring their own laptop (preferably with Windows 10, 64 bit) with R (Version 3.5.1 for Windows for 64 bit, https://cran.r-project.org/bin/windows/base/, 62 MB) and R Studio (Version 1.1.456, https://www.rstudio.com, 85 MB) installed and tested. A detailed guide to participants will be available before the course.

A fee of 250 euros is applied per participant. One full (fees, travel and accommodation) and two partial (fees only) scholarships are available to postgraduate students (pending on attendance).

In order to secure their place successful applicants are expected to deposit their full fee within a week from their acceptance letter.

Two (2) ECTS will be credited to each participant upon successful completion of course and a certificate of attendance.

Each participant will make his/her own arrangements for accommodation. There are a few hotels nearby and a lot of BnBs in Thessaloniki around the University.

DAY 1

Introduction to stock assessment methods
Catch-based method

DAY 2

CMSY: stock assessment using catch and resilience

DAY 3

LBB: stock assessment using length frequency distribution

DAY 4

AMSY: stock assessment using abundance data

DAY 5

JABBA: just another method
Exams based on real data

In addition to the electronic application form, applicants should submit a short CV (please DO NOT use europass format) and a short motivation letter (200 words) to Athanassios Tsikliras (FishBioR@bio.auth.gr). The CV should include -but not be restricted to- education (degrees, similar seminars etc), previous working experience, languages spoken, participation to conferences/seminars and published items.

An undergraduate degree in Marine Biology, Ecology, Oceanography, Fisheries Science, Aquaculture, Environmental Science, Marine Engineering, Physics, Mathematics, Statistics, Economics and a strong background in fisheries and fish biology concepts are required.

A good knowledge of R and R studio and a very good knowledge of English is required.

Participants are required to bring their own laptop (preferably with Windows 10, 64 bit) with R (Version 3.5.1 for Windows for 64 bit, https://cran.r-project.org/bin/windows/base/, 62 MB) and R Studio (Version 1.1.456, https://www.rstudio.com, 85 MB) installed and tested. A detailed guide to participants will be available before the course.

A fee of 300 euros is applied per participant. One full (fees, travel and accommodation) and two partial (fees only) scholarships are available to postgraduate students (pending on attendance).

In order to secure their place successful applicants are expected to deposit their full fee within a week from their acceptance letter.

Two (2) ECTS will be credited to each participant upon successful completion of course and a certificate of attendance.

Each participant will make his/her own arrangements for accommodation. There are a few hotels nearby and a lot of BnBs in Thessaloniki around the University.