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.