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2022-2023 Undergraduate Catalog

PDF of Environmental Studies Courses

Environmental Studies Courses

All Environmental Studies Courses

ENVR 2000 Introduction to Environmental Science (3 credits)
ENVR 2150 Wilderness Ethics: Projects for Environmental Field Programs (1-3 credits)
ENVR 2925 People of the Environment: Global Pollution Perspective (3 credits)
ENVR 3040 Environmental Economics (3 credits)
ENVR 3300 Environmental Management and Safety (3 credits)
ENVR 3600 Environmental Justice and Sustainability (3 credits)
ENVR 3700 Natural Resource Management (3 credits)
ENVR 3710 Indigenous Environmental Knowledge: Global Perspective (3 credits)
ENVR 3720 Food Sovereignty, Health & Indigenous Environments (3 credits)
ENVR 3730 Sustainable Communities: Local Indigenous Perspective (3 credits)
ENVR 3740 Environment, Wellness & the Sacred Connection to Place (3 credits)
ENVR 3750 Sustainable Communities: Global Indigenous Perspective (3 credits)
ENVR 3800 Environmental Data Analysis (3 credits)
ENVR 3840 Wetlands Ecology (3 credits)
ENVR 3880 Environmental Controversies (2 credits)
ENVR 4050 Geochemistry (3 credits)
ENVR 4110 Environmental Chemistry (3 credits)
ENVR 4200 Wastewater Treatment (3 credits)
ENVR 4210 Environmental Law and Policy (3 credits)
ENVR 4220 Sampling and Analysis (4 credits)
ENVR 4240 Waste Management (4 credits)
ENVR 4260 Risk, Resilience and Sustainable Community Development (3 credits)
ENVR 4400 Environmental Microbiology (3 credits)
ENVR 4500 Environmental Toxicology (4 credits)
ENVR 4610 Sustainability: Theory and Practice (4 credits)
ENVR 4880 Senior Seminar I (1 credits)
ENVR 4917 DIS Tchg Assoc | (1-2 credits)
ENVR 4970 Internship (3 credits)
ENVR 4990 Thesis (3 credits)

ENVR 3800 Environmental Data Analysis (3 credits)

The aim of this course is to expose students to both introductory and advanced analytical methods for environmental applications. The class will provide a primer on introductory inferential statistics (sampling, probability, central tendencies, spread, t- tests and ANOVA) and work towards more advanced analytical applications which are geared towards research questions in Environmental Studies, Geology, and Geography. These techniques include multiple regression, logistic regression, multi-dimensional scaling, regression trees, cluster analysis, survival analysis and basic time series analysis. This class will focus on learning both the theoretical background and application of these methods and discuss the ethical and contextual issues that surround the use of statistical analysis in environmental research.
Common Course Outline