Date	Topic
August 23	Course information, getting started with Unix and Emacs see: Unix Tutorial for Beginners; A Tutorial Introduction to GNU Emacs
25	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
30
September 1	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
6	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
8
13
15
Friday 16	Homework #1 is due
20	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
22
27
29	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
Friday 30	Homework #2 is due
October 4	Ordinary Differential Equations (cont)
6	Ordinary Differential Equations II Application to orbital dynamics
Friday 7	Homework #3 is due
11	Ordinary Differential Equations II (cont) Application to orbital dynamics
13
18	Ordinary Differential Equations III Application to non-linear systems and chaos
20
Friday 21	Homework #4 is due
October 25	Ordinary Differential Equations III (cont) Application to non-linear systems and chaos
27	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 1
3
Friday 4	Homework #5 is due
8	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
10
15
17	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
22
24	Thanksgiving -- No Class
29	TBA
December 1
Friday 2	Homework #6 is due
6	Course review; gallery of results from numerical simulations
13	Final Exam