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Prof. Abir Alharbi أ. د. عبير حميدي الحربي

أستاذ

مساعدة وكيل الجامعة للتخطيط والتطوير \ Deputy to Rector of Planning and Development

كلية العلوم
Main KSU Administrative building, fourth floor, Science Building 5 , third floor, office 54
مادة دراسية

254 Math (Numerical Methods)

Course: 

Math 254 (Numerical Analysis)

Syllubus:


Methods of numerical solve nonlinear equations, calculation errors associated rates and methods repetitive, methods of direct and iterative solve systems linear calculation errors related to these methods, Interpolation using polynomial formula error accompanying this Interpolation, differentiation and numerical integration including errors related to it, Entrance Solutions numerical ordinary differential equations. 

 TextBook:

Numerical Analysis

  by

          Richard L. Burden and J.Douglas Faires.

References: 

Introduction to Numerical Methods and Matlab Programming for Engineers

By

Todd Young and Martin J. Mohlenkamp

​​

 

An Introduction to Programming and Numerical Methods in MATLAB 

By 

S.R. Otto and J.P. Denier

 

Numerical Analysis 

by  

Walter Gautschi   

                                                                                                                                                            

Numerical Analysis

by

Timothy Sauer




 

Course: 

Math 254 (Numerical Analysis)

The Student Grade in the Course 254 Math will be based on the following decomposition

 

  •        20% Midterm 1
  •        20% Midterm 2
  •        5% Project
  •       15% Tutorial
  •       40% Final Exam

Course: 

Math 254 (Numerical Analysis)

1) MathWorks

http://www.mathworks.com/help/matlab/linear-algebra.html?requestedDomain=www.mathworks.com

2) Wolfram Mathworld

http://mathworld.wolfram.com/LinearAlgebra.html

3) Wikipedia:

https://en.wikipedia.org/wiki/Linear_algebra

4) Khan Academy:

https://www.khanacademy.org/math/linear-algebra

5) Wild Maths - explore, imagine, experiment, create:

Wild Maths is a collection of mathematical games, activities and stories, encouraging you to think creatively, (Cambridge University) visit:  

http://wild.maths.org/

6) Expii :

Expii is the personal learning revolution.

https://www.expii.com/

7) NRICH:

NRICH is ideally placed to offer advice and support to both learners and teachers of mathematics.

http://nrich.maths.org/frontpage

8)  http://nm.MathForCollege.com



 

Course: 

Math 254 (Numerical Analysis)

First Midterm: 2 Nov 2017

 

Second Midterm: