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Experimental Design in Ecology

Description

A two-day online review of Experimental Design in Ecology (EDE). This training program provides valuable insight and lessons learned to designing study objectives, selecting sampling sites, choosing specific equipment, and recognizing and avoiding sampling biases. This course also introduces statistical analysis and interpretation of data in order to complete a scientifically defensible study.

Taught by one of Canada’s foremost Ecologists and researchers, this ‘hands on’ training program includes group exercises, presentation, lecture and case study reviews. This course will appeal to a professional that manages, or will manage projects, and is required to design and conduct ecological studies.

Each NRTG course includes free, lifetime admission. Enrol once – come back anytime.

Outcomes

Upon successful completion, EDE participants will be qualified and able to: 

  • Define and construct a study hypothesis
  • Define and determine parameters under study
  • Define and identify study type
  • Identify and select appropriate sampling sites
  • Identify and manage confounding factors
  • Identify and avoid sampling biases
  • Asses statistical versus ecological significance
  • Develop a scientifically defensible study

Course Format 

A two-day classroom-based training program. Classroom sessions are scheduled 9am to 5pm over two consecutive days.

Pre-requisites

There are no formal prerequisites, however, a basic working knowledge of statistics would be an asset.

Personal Equipment Requirements

Participants are required to bring a writing pad, pen, or pencils and refreshments (lunch is not provided).  For further information, please contact NRTG.  

Course Fees

Course fees will vary by course delivery location.  For further information, please contact us or refer to our Schedule Page.

Who Attends this Course?

The course is applicable for intermediate and senior staff that manage projects, people and programs.  

How do I Attend?

The Experimental Design in Ecology course is regularly scheduled in communities across Canada, and delivered on contract to companies or organizations.  Individuals interested in attending an EDE delivery are advised to contact us, and we will provide potential course delivery dates and locations to attend. 

If you would like to have the EDE course delivered to your company or organization or community, please consider the following:

  • Contact us well in advance of your preferred course start date
  • If applicable, secure program funding
  • Recruit course participants (most NRTG courses have minimum enrollments of 8-10 participants)
  • Coordinate course participant equipment, classroom facility and contractual agreement with NRTG.

Instructor Profile 

Jeff Sereda, PhD.

Senior Fisheries Ecologist, Adjunct Professor University of Saskatchewan

Jeff holds a PhD. in Limnology and an Aquaculture Technician Diploma. He served as manager of a commercial salmonid hatchery for 4 years, lectured at the University of Saskatchewan on topics of fish physiology, taxonomy, ecology, conservation, and aquaculture. Currently, Jeff is a Senior Habitat and Population Ecologist with the Saskatchewan Government and an Adjunct Professor at the University of Saskatchewan.

Jeff’s research has encompassed topics such as assessing the risk of lakes to anthropogenic eutrophication, macrophyte management, fish habitat restoration and the impacts of water management on species as risk (Bigmouth Buffalo, Chestnut Lamprey, Mountain Sucker, and Lake Sturgeon). Jeff’s research has been presented at over 60 national and international conferences and resulted in 15 peer reviewed publications.

Frequently Asked Questions

We offer this two-day online course year-round. Please refer to our Schedule page for course timing and locations.

This is a two-day online review of Experimental Design in Ecology (EDE). This training program provides valuable insight and lessons learned to designing study objectives, selecting sampling sites, choosing specific equipment and recognizing and avoiding sampling biases. This course also introduces statistical analysis and interpretation of data in order to complete a scientifically defensible study.

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