CE 317 : Computer Methods in Civil Engineering

Course Syllabus

 

CIVIL ENGINEERING DEPARTMENT 

Computer Methods in Civil Engineering

CE 317 (2-3-3) 

Term:  Fall 2001-2002 (011)

 

 

Instructor:Dr. A.A. Khathlan, Room 16-138, Tel. 2683

e-mail :  (khathlan@kfupm.edu.sa)

 Office Hours:  Sat. & Mon. 10-11 & 12-1 , Sun. 1-2 pm (also available by appointment)

 Textbook: Numerical Methods for Engineers, Chapra & Canale, 3rd ed.

 Course Objectives:

 1)                 Familiarize students with the most popular numerical techniques for the solution of mathematical problems.

2)                 Provide students with practical CE applications of the numerical techniques that are taught  in the course.

 3)                 Familiarize students with the software Mathematica, which is a very powerful tool for the solution of a wide range of typical mathematical engineering problems.

 

Course Rationale:

 The mathematical tools of this course will be very useful for solving many of the CE problems that students will encounter in their courses, as well as after graduation.  In addition, the software package will be of tremendous help in getting quick solutions to complicated problems.

 

COURSE OUTLINE

 

Weeks #

Topic

Chapter # (Selected Sections)

    1

Introduction to Computing

·  Ch. 1 - Mathematical Modeling & Engg.

                Problem - Solving

·  Ch. 2 - Computers and Software

 

    2

 

Approximation & Errors

 

·  Ch. 3 - Approximation and Round-Off

                Errors

·  Ch. 4 - Truncation Errors and the Taylor

                Series

 

 3 & 4

 

Roots of Equations

& CE Applications

 

·  Ch. 5 - Bracketing Methods

·  Ch. 6 - Open Methods

 

5, 6 & 7

 

 

Linear Algebraic Equation

 

·  Ch. 9   - Gauss Elimination

·  Ch. 10 - LU Decomposition and Matrix

                  Inversion

·  Ch. 11 - Special Matrices and Gauss-

                  Seidel

 

 8 & 9

 

 

Introduction to Optimization

& CE Applications

 

·  Ch. 13 - One-dimensional Unconstrained

                  Optimization

 

10 & 11

 

 

Curve Fitting

 

·  Ch. 17 - Least-Squares Regression

·  Ch. 18 - Interpolation

 

12 & 13

 

 

Numerical Integration

& CE Applications

 

·  Ch. 21 - Newton-Cotes Integration of

                  Equations

 

14 & 15

 

Ordinary Differential Equations

 

·  Ch. 25 - Runge-Kutta Methods

 

 

·  Course Grade Breakdown:

 

            Attendance & Class/Lab participation            :            10%

            Homework & Lab Assignments                 :            15%

            Quizzes                                                            :           5%

            Exam # 1                                                          :            20%

            Exam # 2                                                          :            20%

            Lab Final Test                                                         :           5%

            Course Final Exam                                           :            25%

 

 

·    The University policy regarding excessive absences will be adhered to strictly, which may result in (DN) grade. For their own benefit, students are strongly encouraged to not miss any class or lab session.