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ESM 206 intro - web

ESM 206 intro - web - ESM 206 Data Analysis for...

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ESM 206 Data Analysis for Environmental Science & Management 2007-2008 Bruce Kendall
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Course Objectives Learn how to use quantitative data analysis to: Make decisions regarding compliance with environmental standards Assess the impact of past management actions or development projects Make predictions about the likely outcome of proposed policy or management actions Learn to use the following tools: Simple hypothesis testing, including t -tests Analysis of variance (ANOVA) Ordinary least squares regression Logistic regression Bootstrapping
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Instructors Office Phone email Office hours Bruce Kendall Bren 4514 x7539 [email protected] bren Fall: M 3-4, F 12-2, or by appointment* Heather Berkley Bren 3021 x5890 [email protected] bren TBA * To make an appointment, find an open time on my Corporate Time schedule, add a meeting, and send me an email so I’m aware of it. Note that if you schedule something for the immediate future, I may not find out about it in time.
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Class format Lectures meet twice per week: Fall quarter: MW 9:30-10:45, Nov. 5, 7, 14, 19, 21, 26 Winter quarter: TR 2:00-3:15, Jan. 8, 10, 15, 17, 22, 24 Spring quarter: TBA In addition to pontificating from the front of the room, I will ask you lots of questions, so come prepared to think!
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Class format Labs meet once per week, in the GIS lab. There are three sections: Fall quarter: T 8:30-9:20; T 2:30-3:20; T 4:30-5:20 Nov. 13, 20, 27 Winter quarter: W 10:30-11:20; W 3:30-4:20; R 12:30- 1:20, weeks 2-4 Spring quarter: TBA These provide you the opportunity to learn the nuts and bolts of running the analyses. The lab sections are quite full; if you need to switch sections on a continuing basis, please find someone to swap with.
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Problem sets Problem sets and solutions will be provided for each segment of the course Work as many as you need, checking your solutions until you are confident that you understand the material Problems will be both technical (e.g. practice running t-tests) and conceptual (defining the scope of a problem and identifying suitable statistical analyses).
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Micro-exams
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