This course introduces techniques for collecting, evaluating, and using data-based evidence in environmental research, including descriptive statistics (measures of centre, variation and shape, and measures of association between two variables), statistical research designs, sampling theory, and fundamental probability theory for inferential statistics. The course also develops skills in using statistical software for data display and analysis.
• A Ph.D or Master's Degree in related discipline from a reputable university.
• At least 2 years of relevant teaching experience at the tertiary level is preferred
• Assessment of students
• Must be available to teach daytime on weekdays
We regret that only shortlisted candidates will be notified.
