Numerical Methods 308 - MR Riazi [PDF]

Numerical Methods for Engineers (ENG 308 -54). Prerequisites. : Computer Methods ENGR 200, ... methods to find roots of

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KUWAIT UNIVERSITY College of Engineering & Petroleum CHEMICAL ENGINEERING DEPARTMENT SUMMER SEMESTER 2012-'13

Numerical Methods for Engineers (ENG 308 -54) Prerequisites

:

Computer Methods ENGR 200, Differential Equations: MATH 240

Instructor

:

Prof. M. R. Riazi Office: Bldg. 8 Kh., 5th Floor, Room # 535, Chem. Eng. Dept. Phone: 24985772 (Dept. # 24817662) Email: [email protected]

Office Hours

:

Daily (11:40 - 12:30) Wednesday (9:20 – 10:20)

Assistant

:

Eng Ali Muqeem (Tel: 249-85926) Office Hours: Sunday, Monday, Tuesday (8:00 – 9:00)

Class Hours

:

Daily (10:40 - 11:40)

Place

:

Bldg. 21 Kh., Room # 104

Course Objective: The main objective of the course is to teach students the mathematical methods through numerical analysis once analytical methods cannot be used to solve engineering problems. In this course numerical methods to find roots of nonlinear equations, solution of system of equations, regression methods, interpolation of data, optimization methods, differentials and integration and differential equations will be taught. Use of computer tools especially Excel and Matlab will also be practiced throughout the course. Main Text Book: Steven C Chapra and Raymond P. Candle "Numerical Methods for Engineers" 6th Edition, McGraw Hill, Int., New York, 2010. (www.phptr.com)

Grading: The course grade will be based (approximately) on the following considerations: Attendance Homeworks Quizzes Midterm Exams (2 exams) Final Exam

-

8% 10% 12% 30% 40%

COURSE OUTLINE

CHAPTER

SUBJECT

1

Introduction and Engineering Mathematical Modeling

3

Approximate Solutions and Errors

4

Truncation Errors and Taylor Series

5

Bracketing Methods – Graphical, False Position , etc.

6

Open Methods (Iteration, Newton Raphson, Systems of Equations Section 6.5)

9

Gauss Elimination Method – Solving Number of Equations

11

Matrices and Gauss-Seidel Method

Part 5

Curve Fitting (p. 425)

17

Least Squares Regression

18

Interpolation of Data

21 & 22

Numerical Intgration

23

Numerical Differentiation

25

Ordinary Differential Equations – Numerical Methods

27

Bounday-Value and Eigenvalue Problems – Numerical Methods

Exam Dates: Exam I: Tuesday June 11th Exam II: Tuesday June 25th Final Exam: July 14th: 9:00 – 11:00 am

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