This course presented by the Columbia Mountains Institute of Applied Ecology provides an introductory primer for statistical concepts and techniques. Learners will explore ecological data, assumptions about probability distributions, hypothesis testing, one and two sample tests, ANOVA, regression, and model building topics. Emphasis will be placed on integrating practical examples into course exercises. The course...

This course presented by Columbia Mountains Institute of Applied Ecology serves as an introduction to the biogeography, evolution, and identification of native and introduced freshwater fishes found in British Columbia. Two lecture sessions focus on the biogeography, evolution of the fauna, as well as the morphological and genetic techniques used in fish identification. Two afternoons...

An introduction to the programming language R. This course will provide tips and tricks to programming in R, installation of R packages and libraries, introduction to base R objects and data types, assign a value to a name, identify functions, for loops, and conditional statements, read in data from common file types (csv/xlsx), and perform...

This is an eight-week online course for people who are looking for a practical introduction to fitting Bayesian ecological models in JAGS. The course will cover the following topics: preparing data for JAGS, specifying prior distributions, coding models in the JAGS dialect of the BUGS language, providing initial values, getting MCMC samples, evaluating convergence, summarizing...

This course will combine field-experience listening to bird calls and songs during three mornings at the height of the breeding season, with hands-on recording practice to generate sound files. Each afternoon, the class will learn to edit and review their recordings using sound visualization software on their personal laptop computers.

An introduction to the programming language R. This course will provide tips and tricks to programming in R, installation of R packages and libraries, introduction to base R objects and data types, assign a value to a name, identify functions, for loops, and conditional statements, read in data from common file types (csv/xlsx), and perform...

This course covers procedures for observing, measuring, and describing soils in the field. The goal is to produce consistent data for soil inventory, mapping and classification using techniques that improve the consistency of determining soil properties in the field. Students gain experience with describing and classifying forest and wetland soils in the Revelstoke area using...

This course is designed to introduce students to the basics of wetland identification and classification. Students will be introduced to the foundations of how to recognize, map, classify, and describe wetlands using the Canadian Wetland Classification System and will provide an overview for identifying common wetland ecosystem sites and plant associations using the Wetlands of...

This course offers practical training in both field and laboratory settings, focusing on the identification of sedges and rushes at the species level. Participants will engage with plant nomenclature and practice using identification keys. Upon completion, individuals will have experience in identifying unknown species, which may be applicable in areas such as applied biology, environmental...

For nearly 30 years, this event has taken place across the upper Columbia Mountains, bringing together individuals from the scientific community, Indigenous and provincial land management, stewardship organizations, naturalist groups, and local communities. The gathering provides updates on ecological projects occurring in southeastern British Columbia, within the territories of the Sinixt, Secwepemc, Ktunaxa, and Syilx...

The purpose of this gathering is to tell stories, share knowledge, and explore ideas and solutions for improving grassland and rangeland health in the East Kootenay. This event will explore the related implications of changing grasslands in the East Kootenay for wildlife and livestock forage, vulnerable grassland-dependent species, Indigenous and regional food security, wildfire risk...

Data manipulation and visualization will provide students with the tools they need to effectively tidy, transform and visualize their data in R. This course will teach the theory behind tidy data, setting up a reproducible data pipeline, introduction in the tidyverse suite of packages, importing data, tidying data, transforming data, dealing with missing data, summary...