FACULTY OF ENGINEERING

Department of Civil Engineering

CIVE 316 | Course Introduction and Application Information

Course Name
Numerical Methods for Civil Engineers
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CIVE 316
Spring
2
2
3
5

Prerequisites
  MATH 154 To attend the classes (To enrol for the course and get a grade other than NA or W)
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery face to face
Teaching Methods and Techniques of the Course Problem Solving
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The course objective is to teach widely used numerical analysis techniques for the solution of equations that represent processes or problems in engineering; to present applications in the field of Civil Engineering and to implement the application of these techniques by using programming language.
Learning Outcomes The students who succeeded in this course;
  • Define complex mathematical models.
  • Create solutions for both linear and non-linear problems.
  • Define the process of fitting curves to the data sets.
  • Explain numerical differentials and integrals.
  • Solve differential equations using numerical techniques.
  • Discuss the applications of numerical analysis techniques in civil engineering.
Course Description In this course, basic information about the solution of linear and nonlinear equation system is given. The course covers the principles of the calculation of the iterative methods, interpolation, cubic splines, numerical differentiation, numerical integration, numerical solution of nonlinear equations, initial value problems, numerical solution of ordinary differential equations, finite difference method. Civil engineering application problems method will be discussed.

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 MATLAB Fundamentals and Programming with MATLAB Chapter-2; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
2 Introduction to Numerical Analysis, Error Analysis Chapter-4; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
3 Solution of nonlinear equations: Bisection method Chapter-5; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
4 Solution of nonlinear equations: Newton Raphson method, engineering applications Chapter-6; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
5 Solution of linear equation systems: Gauss elimination method Chapter-9; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
6 Solution of linear equation systems: LU factorization method, engineering applications Chapter-10; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
7 1st Midterm Exam
8 Regression analysis: least squares method, engineering applications Chapter-14; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
9 Curve fitting: interpolation polynomials, engineering applications Chapter-17; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
10 Numerical integration Chapter-19; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
11 Numerical integration, engineering applications Chapter-19; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
12 2nd Midterm Exam
13 Numerical differentiation Chapter-21; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
14 Approximate solutions of differential equations, engineering applications Chapter-22; Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra
15 Semester Review
16 Final Exam

 

Course Notes/Textbooks

Steven, C. Chapra. Applied Numerical Methods with MATLAB for Engineers and Scientists. Fourth Edition, McGraw-Hill, 2018. ISBN: 0073401102

Suggested Readings/Materials

Amos Gilat, Vish Subramaniam. Numerical Methods for Engineers and Scientists: An Introduction with Applications using MATLAB, 3rd Edition, Wiley, ISBN: 978-1118554937.

Timothy Sauer. Numerical Analysis, 3rd Edition, Pearson Education,ISBN: 978-0134696454.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
2
60
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
2
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
14
2
28
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
2
15
30
Final Exam
1
28
28
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Civil Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Civil Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in engineering applications.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Civil Engineering research topics.

6

To be able to work efficiently in Civil Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Civil Engineering, and to be able to communicate with colleagues in a foreign language;

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Civil Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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