Syllabus
Syllabus handed out in class.
(read the chapter before the lecture on that chapter)
Week Dates Topics (Chapters)
1 Jan 17-20 Introduction- Overview
Motivation (Ch 1)
Using Matlab (Ch 2)
2 Jan 23-27 Matlab programming (Ch 3)
Errors (Ch 4)
3 Jan 30-Feb 3 Bracketing Methods (Ch 5)
** Homework 1 due (Feb 1 @ noon)
4 Feb 6-10 Open methods (Ch 6)
5 Feb 13-17 Matrix review (Ch 7)
Naive Gauss Elimination (Ch 8)
** Homework 2 due (Feb 15 @ noon)
6 Feb 20-24 LU Decomposition (Ch 9)
Gauss Elimination
Cholesky Decomposition
7 Feb 27-Mar 3 Inverses (Ch 10)
** Homework 3 due (Mar 3 @ noon)
8 Mar 6-10 Iterative methods (Ch 11)
** Midterm (Mar 9th from 5:30-7pm)
** March 10th- no class
9 Mar 13-17 No class- Spring Break
10 Mar 20-24 Curve Fitting: (Ch 12)
Linear Least-Squares
11 Mar 27-31 General Linear Least-Squares (Ch 13)
Nonlinear Regression
12 Apr 3-7 Polynomial Interpolation: (Ch 14)
Newton, Lagrange, Inverse
** Homework 4 due (Apr 7 @ noon)
13 Apr 10-14 Splines: (Ch 15)
Linear, Quadratic, Cubic
14 Apr 17-21 Numerical integration: (Ch 16)
Trapezoidal Rule, Simpson's Rule
Open methods, Gauss (Ch 17)
** Homework 5 due (Apr 21 @ noon)
15 Apr 24-28 ODE: Euler, Runge-Kutta(Ch 17)
16 May 1-5 Eigenvalues (Ch 20)
Polynomial, Power
** Homework 6 due (May 5 @ noon)
Exam Dates
Midterm: Thursday, March 9th from 5:30-7pm (Location: cs1240)Final: Friday, May 12th from 7:45-9:45am (Location: tba)