Class Lectures: Tues Thurs 12:30-1:50 PM, Tech F285
Instructor: Seth Stein
The Earth is a messy and complicated system that we study with data that are imprecise, inaccurate, inconsistent, and insufficient. As a result, our ideas about how the earth works and what it will do in the future have considerable uncertainties. This course introduces some approaches from statistics and probability and explores how are used to address issues of uncertainty and forecasting in the geosciences including natural hazards, climate change, and how the planet works. Topics include Fermi estimation, precision and accuracy, variance and covariances, propagation of errors, histograms, Gaussian distributions, lognormal distributions, central limit theorem, power law distributions, rejection of data, linear regression, basic probability, binomial distribution, Poisson distribution, chi-square tests. Grading is based on homework, in-class problems, a project, and write-ups of several department seminars.
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements (Paperback) by John R. Taylor, University Science Books, 1997
Useless Arithmetic: Why Environmental Scientists Can’t Predict the Future by Orrin H. Pilkey & Linda Pilkey-Jarvis, Columbia U. Press, 2007
30%: Weekly homework problems
30%: 2-page writeups of three department seminars, discussing the accuracy, precision, consistency, and adequacy of the data used, due within one week of the seminar
30%: Term project
10%: In-class problems
Portable electronic devices may not be used in class. Bring handouts to lecture. You may work with other students on the problems, if at the beginning of each assignment you list whom you worked with and on which parts. Problem sets are due one week after being assigned, unless prior arrangements have been made. Class question make-ups are only allowed by advance arrangements. Unexcused late work will be penalized. As per university policy, class attendance is expected and required.