Difference between revisions of "Forest Error Analysis for the Physical Sciences"
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;Course Catalog Description | ;Course Catalog Description | ||
| − | : Error Analysis for the Physics Sciences 3 credits. Lecture course with computation requirements. Topics include: Error propagation, | + | : Error Analysis for the Physics Sciences 3 credits. Lecture course with computation requirements. Topics include: Error propagation, Probability Distributions, Least Squares fit, multiple regression, goodnes of fit, covariance and correlations. |
Prequisites:Math 360. | Prequisites:Math 360. | ||
;Course Description | ;Course Description | ||
| − | : The course assumes that the student has very limited experience with the UNIX environment and C/C++ programming. Homework problems involve modifying and compiling example programs written in C++. | + | : The course assumes that the student has very limited experience with the UNIX environment and C/C++ programming. Homework problems involve modifying and compiling example programs written in C++. |
| − | |||
=Systematic and Random Errors= | =Systematic and Random Errors= | ||
Revision as of 22:05, 17 September 2009
Class Admin
Forest_ErrorAnalysis_Syllabus
Homework
Homework is due at the beginning of class on the assigned day. If you have a documented excuse for your absence, then you will have 24 hours to hand in the homework after being released by your doctor.
Class Policies
http://wiki.iac.isu.edu/index.php/Forest_Class_Policies
Instructional Objectives
- Course Catalog Description
- Error Analysis for the Physics Sciences 3 credits. Lecture course with computation requirements. Topics include: Error propagation, Probability Distributions, Least Squares fit, multiple regression, goodnes of fit, covariance and correlations.
Prequisites:Math 360.
- Course Description
- The course assumes that the student has very limited experience with the UNIX environment and C/C++ programming. Homework problems involve modifying and compiling example programs written in C++.
Systematic and Random Errors
Reporting Uncertainties
Notation
X \pm Y = X(Y)
Statistical Distributions
Binomial
Poisson
Gaussian
Lorentzian
Propagation of Uncertainties
References
1.) "Data Reduction and Error Analysis for the Physical Sciences", Philip R. Bevington, ISBN-10: 0079112439, ISBN-13: 9780079112439
CPP programs for Bevington
2.)An Introduction to Error Analysis, John R. Taylor ISBN 978-0-935702-75-0