Class Lectures: About three classes out of four will consist of lecture/discussion led by me. I will provide notes in advance for most of this material.
Reading assignments: In addition to class notes, students may wish to consult a standard statistics textbook, when appropriate. Mathematical and computer books about the techniques are also available. A few examples are: Schaum's Outline Series: Statistics, by Murray R. Spiegel, McGraw-Hill. Numerical Recipes, by Press, Teukolsky, Vetterling and Flannery, U. Cambridge Press. Linear Algebra and Its Applications. 3rd Ed. by , G. Strang, 1988:, Harcourt Brace. Statistical Methods in Atmospheric Sciences, by Daniel S. Wilks, 1995, Academic Press. I will not require that you buy or read these books, but merely indicate that they are available if you need them.
Class Presentations by Students: We will read and critique papers from the literature that use the techniques we are studying. Discussions will be led by the graduate students, who will take about 20 minutes to introduce the main points of the paper, followed by general discussion.
Class Projects: There will be a project or two this year.
Homeworks: There will be approximately weekly homeworks. Many of these will require you to use a workstation running Matlab or some similar canned package.