Systems Ecology 1 is an introduction to the science of ecology, building on concepts and information introduced in ENVR 160, 161, 163 and other first year IEP courses. Emphasis is placed on the basics of ecology, and will focus on the structure and function of various communities including alpine, subalpine, wetland, and riparian ecosystems. The labs will explore various methods of sampling, analysing and reporting on the physical site factors, vegetation and wildlife components of these communities.

Applied Microbiology is an introductory applied microbiology course. This course covers basic microbiological theory and an introduction to applied microbiological skills including safe work practices; aseptic technique; preparation of media; isolation and growth of pure cultures; Gram staining; tissue culture; microbial enumeration using pour and spread plates, membrane filtration and optical density; and identification of microorganisms using biochemical tests.

Geographic Information Systems (GIS) provide the capability to effectively create, edit, display, manage and analyze spatial data - data that is georeferenced to the earth. This course introduces the fundamental concepts and applications of GIS with a specific focus on environmental planning subjects. Emphasis is placed on developing hands-on expertise with world leading commercial GIS software (ArcGIS) for displaying and querying spatial data, manipulating tabular data, completing queries, developing charts and producing effective map layouts. Finally, this course incorporates digital data collection using mobile technologies.

Environmental Chemistry is an introductory environmental chemistry course covering chemical theory, calculations, measurements, and laboratory skills.  Laboratory exercises address basic skills including laboratory safety, quantitative measurement, and use of common laboratory apparatus.  Laboratory exercises are derived from standard methods for the examination of water and wastewater.  The course goal is for graduates to master basic chemical theory, solve chemistry problems, use environmental chemistry references, demonstrate safe chemistry laboratory practices, and perform standard methods for the determination of total, suspended and dissolved solids, pH, conductivity, dissolved oxygen, alkalinity and turbidity in water and wastewater samples.

This course is a continuation of Math 190 - Resource Statistics I. Topics include linear regressions and correlation, inferential statistics, confidence intervals, hypothesis testing, goodness of fit and contingency tables.