Mohammad Motamed

MATH 375, Introduction to Numerical Computing

General description

The goal of this course is to introduce basic techniques for efficiently computing numerical solutions of different types of linear and non-linear problems. Topics covered include: root finding, direct and iterative methods, interpolation, integration, differentiation, and ordinary differential equations. We will learn and use MATLAB to implement numerical algorithms.

Syllabus     Homework Report Format

Schedule of lectures   (updated Nov. 21, 2016)

Text book

Numerical Analysis by Timothy Sauer, 1st or 2nd edition (recommended).

Office hours

1) Mondays 13:00-15:00     2) Thursdays 14:00-15:00     3) by appointment

Lecture notes

MATLAB Tutorial

Lecture notes on Solving Scalar Equations

Lecture notes on Finite Computer Precision

Lecture notes on Solving Systems of Linear Equations

Lecture notes on Interpolation     Matlab code 1     Matlab code 2

Lecture notes on Least Squares

Lecture notes on Numerical Integration


HW6     (due November 10)

HW7     Partial solutions to HW7 + Matlab codes

HW8   Legendre_knots.m   (due December 6th in class)


  • Midterm: October 11 at 12:30 - 13:45, Room: SMLC 120
  • Final: December 15 at 10:00 - 12:00, Room: SMLC 120

    Study Questions for Final (posted online: Nov. 22, 2016)

    Last updated: August 2016