Date	Topic
August 26	Course information, getting started with Unix and Emacs see: Unix Tutorial for Beginners; A Tutorial Introduction to GNU Emacs
28	Introduction to the C Programming Language; material from The C Programming Language by Kernighan & Ritchie (2nd edition) see also: C Programming Notes by S. Summit
September 2
4	Introduction to numerical analysis; errors, accuracy, stable and unstable computations. Four interesting pages can be found here: Page 1; Page 2; Page 3; Page 4; from the book First Steps in Numerical Analysis by Hosking, Joe, Joyce, & Turner
9	Root finding; From Numerical Recipes in C (2nd edition):    9.0 Introduction to root finding    9.1 Bracketing and Bisection    9.4 Newton-Raphson Method Using Derivative
11
Friday 12	Homework #1 is due
16	Linear Systems of Equations; From Numerical Recipes in C (2nd edition):    2.0 Introduction to linear systems    2.1 Gauss-Jordan Elimination    2.2 Gauss-Jordan Elimination with Backsubstitution
18
23	Numerical Integration; From Numerical Recipes in C (2nd edition):    4.0 Introduction to Integration of Functions    4.1 Classical Formulas for Equally Spaced Abscissas    4.2 Elementary Algorithms    4.4 Improper Integrals
25
Friday 26	Homework #2 is due
30	Ordinary Differential Equations; From Numerical Recipes in C (2nd edition):    16.0 Introduction to ODEs    16.1 Runge-Kutta method    16.2 Adaptive stepsize control for Runge-Kutta    16.6 Stiff sets of equations
October 2
7
9	Ordinary Differential Equations II Application to orbital dynamics
Friday 10	Homework #3 is due
14	Ordinary Differential Equations II (cont) Application to orbital dynamics
16
21	Ordinary Differential Equations III Application to non-linear systems and chaos
23
Friday 24	Homework #4 is due
28	Ordinary Differential Equations III (cont) Application to non-linear systems and chaos
30	Statistical Description of Data; From Numerical Recipes in C (2nd edition):    14.0 Introduction    14.1 Moments of a distribution    14.3 Are two distributions different?
November 4
6
Friday 7	Homework #5 is due
11	Veteran's Day -- No Class
13	Modeling of Data; From Numerical Recipes in C (2nd edition):    15.0 Introduction    15.1 Least squares as a maximum likelihood estimator    15.2 Fitting data to a straight line    15.6 Confidence limits on estimated model parameters
18
20
Friday 21	Homework #6 is due
25	Fun with statistics
27	Thanksgiving -- No Class
December 2	Random Numbers and Monte Carlo Methods; From Numerical Recipes in C (2nd edition):    7.0 Introduction to random numbers    7.1 Uniform deviates    7.6 Simple Monte Carlo Integration
4
Friday 5	Homework #7 is due
9	Course review; gallery of results from numerical simulations