Intensive classe

Introductory workshop to Python

Posted by Gracielle Higinoon 24 April 202330 April 2023in Intensive classe, Training Session

The BIOS² training program offers an Introductory workshop to Python for R users. The workshop will be presented on May 15 and 16, 2023 by Vincent Beauregard, data specialist at Biodiversité Québec.

The course aims to provide the basics of Python and to familiarize participants with the tools and libraries relevant to computational ecology. Sessions will build on participants’ prior knowledge of the R language to facilitate learning. Topics will include data manipulation with Pandas, data visualization with Matplotlib, and data analysis with Numpy and Scipy. Students will also learn how to break their code into functions and work with classes in Python.

The workshop is offered in preparation for the Advanced Field School in Computational Ecology, but is open to all members of the BIOS² program and any other interested individuals.

Instructor

Vincent Beauregard is a technical coordinator, and a specialist in infrastructure, biodiversity data interfaces and spatial data from remote sensing at Biodiversité Québec. He is interested in the automation of data processing schemes.

What: Introductory workshop to Python
When: May 15 and 16, 2023 @ 1 pm – 4 pm (your time here)
Where: Online and at Université Laval
Language: English (bilingual Q&A and discussion)
Fees: free – offered only for participants of the Advanced Field School in Computational Ecology.
Registration deadline: May 11, 2023
Registration link: https://forms.office.com/r/kWvCrdpbus

Summer school in Biodiversity Modelling 2022

Posted by KimGSon 27 May 202222 June 2022in Intensive classe, Training events

The 2022 edition of the summer school, which will take place from August 22 to 26, 2022 at the Centre de Villégiature Jouvence in Orford, will be on the theme: Biodiversity changes and data visualization. The course will take the form of a workshop during which the students, in collaboration with local organizations involved in biodiversity monitoring, will develop a web platform for visualizing biodiversity changes.

Summer School in Biodiversity Modelling 2021

Posted by KimGSon 14 June 202123 February 2022in Intensive classe, Training events

The Summer School in Biodiversity Modelling will take place from August 16-25, 2021 under the theme:

Evaluating Models from Ecological Data

Led by Pr. Dominique Gravel and Dr. Andrew MacDonald (Université de Sherbrooke). Training focused on problem solving and guest speakers (Professors Timothée Poisot, Pedro Peres-Neto, Sandra Hamel, Marc Bélisle and others).

Online and Hybrid Training. The format of the intensive summer school has been revised to accommodate COVID’s restrictions on travel and large group activities. Activities will be accessible remotely, but local gatherings may be arranged if the situation allows.

Summer School in Biodiversity Modeling

Posted by KimGSon 2 June 202123 February 2022in Intensive classe

It is now confirmed!

The Summer School in Biodiversity Modeling, proposed by BIOS2, IELab and Université de Sherbrooke will be held online from August 16 to 27, 2021 and will focus on Evaluating models with ecological data.

Registration will open soon. Stay tuned.

Training: Summer School in Biodiversity changes and data visualization

Posted by KimGSon 9 March 202023 February 2022in Intensive classe, Training events

**** Due to the coronavirus pandemic, the summer school will be postponed to a future date (fall 2020 or spring 2021), depending on the return to normal public activities. ****

Summer school: Data-driven ecological synthesis class

Posted by KimGSon 24 October 201923 February 2022in Intensive classe, Training events

Application deadline is Dec. 31, 2019.

We are accepting applications for the fifth edition of the Data-Driven Ecological Synthesis intensive class, held from April 27 to May 3 at the Station de Biologie des Laurentides, Université de Montréal. The aim of this class is to train ecologists in state of the art techniques for data management and analysis for synthesis research. It is co-taught by Prof. Timothée Poisot and Dr. Andrew MacDonald. More information, including a link to the application form, can be found here: https://poisotlab.io/ddes/. Students from Québec universities can claim 4 credits for this class.