This course examines further techniques for collecting, evaluating, and using data-based evidence in environmental research. It builds upon ENVS 178, with a focus on inferential statistics, including sampling distributions, confidence intervals, parametric and nonparametric hypothesis tests, and linear regression models. It further develops skills in using statistical software for data analysis and modeling of environmental data.

Assess students and provide instruction for the course during daytime on weekdays.

• Ph.D. or Master’s Degree in a related discipline from a reputable university.
• At least 2 years of relevant teaching experience at the tertiary level (preferred).
• 5 years of relevant work experience (advantageous).
• Must be available to teach daytime on weekdays.