Event price: $ 1,350,000 COP

Online payment: At the time of your registration you will be able to pay online with credit card and PSE.

Payment in banks:
Present the invoice printed in laser, and approach the following banking entities:

  • Bancolombia
  • Itaú
  • Banco de Bogotá and its banking correspondents: Almacenes Éxito, Carulla, Surtimax, Súper inter.

Face-to-face payment:
Go to the University Cashier and pay with a debit or credit card.

Start date: 07-26-2019

End date: 29-11-2019

Duration: 108.00 hours.

Event city: Medellin

Hours: It starts on July 26 and ends on November 29, it will take place on Wednesdays and Fridays.
Place: University CES town headquarters, Calle 10ª # 22-04, classroom to be confirmed.

Learn about our discounts for our university community, or if you are an employee or associate of institutions with current agreements with the CES University Learn more

Event Code: 70061346

To register, you must fill out the form to generate the invoice and make the payment online, banks or in person at the University.

Faculty: Biology

Carolina Valencia
Administrative Assistant
444 05 55 ext 1240.

Patricia Mora
Extension Coordinator
444 05 55 ext 1240.

you have doubts? Write to us


Know the importance of the topics to be addressed during the development of the Course

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The modality of the event is Face-to-face

The rapid development of methodological tools and the increase in the availability of environmental information in recent years has made it possible to generate information about the factors that determine the distribution of species. This information has been of great importance to answer ecological and evolutionary questions of great theoretical and applied importance, in particular, on issues of climate change, invasion ecology and emerging diseases, among others. In this way, the purpose of the course is to learn and deepen aspects related to the modeling of the ecological niche and potential distribution.

Professors, Students, and graduates of Biology and Ecology from CES and other universities.

The course will provide the theoretical and methodological tools to generate geographic distribution analysis of the species and its biological interpretation.


Find out how you can finance your registration in this event.

Study plan

Find the contents to be dealt with in the Continuing Education Course


Learn about the skills that you will acquire by taking the Course at our University.

Finance the payment of your registration with SUFI, contact the advisor:

Anderson Esneyder Acevedo Benitez
Telephone: (57) (4) 604 91 25
Mobile: 301 254 98 44
Email: anaceved@bancolombia.com.co

Payment with Severance:
Check with your fund and severance management company about the requirements to make the payment *.
* Applies for diplomas and certifications.

Topics to be discussed during the activity (it can be a list). (800 characters maximum) This text must be removed before uploading the content to SAP

  • Introduction: niche modeling as a tool
  • The modeling units
  • Distribution areas
  • Ecological niches and geographic distributions
  • Input data: biological
  • Input data: geographic
  • Theoretical bases of modeling algorithms. Validation of the models
  • Transfer Practice - Potential, Historical, Current Distributions

Familiarize and encourage students to understand the theoretical bases of modeling ecological niches and species distributions and train them with computational tools for the management of biological, geographic and ecological modeling information. Present and discuss the theoretical concepts and the basic concepts of ecological niche and geographic distributions, and their implementation in modeling. Teach a basic module of Geographic Information Systems applied to the modeling of ecological niches and species distributions. Teach the use of computational tools for the management and cleaning of databases Teach the use of some niche modeling programs and species distributions (GARP, MaxEnt, Wallace) Apply basic studies using the methodologies of ecological niche and distribution modeling species, to serve as a basis for planning future studies

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