Presentation on theme: "ESM 206: Environmental Statistics and Data Analysis Christopher Costello Bruce Kendall Annette Killmer."— Presentation transcript:
ESM 206: Environmental Statistics and Data Analysis Christopher Costello Bruce Kendall Annette Killmer
Course Objectives Directed at MESM students in Bren School Introduce commonly used statistical tools – conditions for use Teach how to frame environmentally- motivated question into testable hypothesis and how to use tools to answer Interpret results of analysis to provide insight into environmental problems
Resources Text: Manly. 2001. Statistics for Environmental Science and Management. Chapman and Hall. S-Plus statistics package (installed in SCF)
Course Format Lectures 3 per week Expected to attend all lectures Lecture material applied and motivated with real environmental problem Labs 1 per week. T.A. Annette Killmer. In SCF. Bring questions – don’t expect to complete homework in Lab sessions.
Grading Problem Sets (40%) 5-6 during quarter (7-10 days each). Midterm (25%) Take home. Own work! Final or Paper (35%) If you choose a term paper 3 stages (proposal, progress, final paper) Can opt to take final to boost midterm grade
Topic Syllabus First Half of Course: Basic Statistics What is statistics? Sampling, probability, distributions Regression, ANOVA Drawing Conclusions from data Second Half: Special Topics Monitoring, Impact Assessment Time Series, Spatial Stats Risk and Uncertainty
Expectations Of You Participate in class/lab Do readings Submit assignments on time (no late assignments will be graded) Do your own work Of Ourselves Keep it interesting Introduce techniques with real-world examples Make ourselves accessible Make lecture notes available