University :Mansoura University |
Faculty :Faculty of Science |
Department :Mathematics Department |
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| 1- Course data :- |
| | Code: | 11316 | | Course title: | تحليل عددى (1) | | Year/Level: | ثالثة رياضيات | | Program Title: | | | Specialization: | | | Teaching Hours: | Theoretical: | 3 | Tutorial: | 2 | Practical: | |
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| 2- Course aims :- |
| - The aim 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
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| 3- Course Learning Outcomes :- |
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| 4- Course contents :- |
| | No | Topics | Week |
|---|
| 1 | Introduction to computer science and number system and type of errors | | | 2 | Roots of Non-Linear Equations | | | 3 | Lagrange interpolation | | | 4 | Divided difference formula | | | 5 | Numerical integration | | | 6 | Numerical solution to ODE | | | 7 | Gaussian Elimination | | | 8 | Pivoting LU Factorization | |
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| 5- Teaching and learning methods :- |
| | S | Method |
|---|
| Lectures, exercise sheets and solution sheets | | Tutorials | | Internet facilities |
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| 6- Teaching and learning methods of disables :- |
| - Science students are usually normal. Therefore, no specific teaching and learning methods are needed.
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| 7- Student assessment :- |
| A. Timing |
| | No | Method | Week |
|---|
| 1 | Final exam | 16 | | 2 | Oral exam | 14 | | 3 | Semester work | |
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| B. Degree |
| | No | Method | Degree |
|---|
| 1 | Mid_term examination | 0 | | 2 | Final_term examination | 90 | | 3 | Oral examination | 10 | | 4 | Practical examination | 0 | | 5 | Semester work | 0 | | 6 | Other types of asessment | 0 | | Total | 100% |
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| 8- List of books and references |
| | S | Item | 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. | |
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| 9- Matrix of knowledge and skills of the course |
| | S | Content | Study week |
|---|
| Introduction to computer science and number system and type of errors | | | Roots of Non-Linear Equations | | | Lagrange interpolation | | | Divided difference formula | | | Numerical integration | | | Numerical solution to ODE | | | Gaussian Elimination | | | Pivoting LU Factorization | |
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| Course Coordinator(s): - |
| - Elmetwaly Mohamed Elabassy Elabassy
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| Head of department: - |
| Ahmed Habeb Mohamed Nageb Elbassiony |
