Math 2400
Introduction to Numerical Computing




Instructor Information

Instructor: David Iron
Email: iron@mathstat.dal.ca
Office: Chase 322

Course Information

Times and Places

Lecture: Tues and Thurs. 10:05 - 11:25 Sir James Dunn 302
Lab: Alternate Thurs starting Sept 11 10:05 - 11:25 LSC 200
Office Hours*: Wed 2:00-3:30 Thur 1:00-2:30 My office
* or by appointment.

Course Content

Text: Numerical Analysis, by Timothy Sauer

This course is a introduction to the algorithms used to solve common math problems. We will consider methods used to find zeros of nonlinear functions, data interpolation and polynomial approximation, numerical differentiation and numerical integration, numerical solutions to ordinary differential equations, best fit approximations and the error analysis of these algorithms.

The final grades will consist of homework assignments, a mid-term test and the final exam. Homework will be assigned on a roughly bi-weekly basis to and collected in class. The assignments will consist of a combination of analytical and programming questions.

The mid-term test will be on the Thursday November 5th.

A single formula sheet (8 1/2 x 11) will be allowed for both the final and the mid term. It may contain whatever information you wish on both sides.

Grading will be as follows:*
Homework/Computer assignments 40 %
Mid-term test 20 %
Final Exam 40 %

* the grading policy may change at some point during the year. Any changes will be announce in class as well as posted on this web page.


On line Course Material

All handouts, homework assignments and solutions will be posted here at appropriate times.
Course Information
How to plot with Octave.
Practice problems from text
Extended divided difference notes.
divdifplot
Practice Test (solutions)
Test Solutions
Data for homework 4
Practice Exam (solutions)

Lab Notes


Lab 2 Notes
Lab 3 Notes
Lab 4 Notes

Homework

Assignment 1 (solutions)
Assignment 2 (solutions)
Assignment 3 (solutions)
Assignment 4 (solutions)
Assignment 5 (solutions)

Course Links


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