Faculty of Science

Model (No 12)

Course Specification : تحليل عددى

2006 - 2007

Farabi Quality Management of Education and Learning - 6/5/2026

University :Mansoura University

Faculty :Faculty of Science

Department :Mathematics Department

1- 1- Course data :-

2- 2- Course aims :-

The goal of the course is to provide the student with a firm introduction to the basic algorithms used in scientific computations, their design and analysis and implement similar algorithms for the solution of related scientific problems. By the end of the course students will be able to • Present the basic mathematical foundations of numerical analysis and scientific computing; • Give the students hands-on experience in solving nonlinear equations. • Provide useful tools for scientists, engineers and others.

3- 3- Course Learning Outcomes :-

4- 4- Course contents :-

No	Topics	Week No.
1	Introduction computer science and number system and type of errors
2	Roots of Non-Linear Eqns
3	Lagrange interpolation
4	Divided difference formula
5	Numerical integration
6	Numerical solution to ODE

5- 5- Teaching and learning methods :-

S	Method
	Lecturer and lab every week
	Technical Requirements:MATLAB® software is require

6- 6- Teaching and learning methods of disables :-

No data found.

7- 7- Student assessment :-

- Timing

No	Method	Week No.
1	Oral Examination	15
2	Final written exam	16

- Degree

8- 8- List of books and references

S	Reference	Type
1	Burden R.L. and J. D. Faires, Numerical Analysis, Sixth edition, Brooks/Cole, Pacific Grove, CA, 1997.
2	Mathews, J. H., and K. D. Fink. Numerical Methods Using MATLAB®. 3rd ed. Prentice Hall, 1999.

9- 9- Matrix of knowledge and skills of the course

S	Content	Study week
	Introduction computer science and number system and type of errors
	Roots of Non-Linear Eqns
	Lagrange interpolation
	Divided difference formula
	Numerical integration
	Numerical solution to ODE

Course Coordinator(s): -

Head of department: -