GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NUMERICAL METHODS IN CIVIL ENGINEERING/5121308
Course Title: NUMERICAL METHODS IN CIVIL ENGINEERING
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
An ability to use numerical methods.
Modelling of engineering problems and development of solution strategies using numerical methods.
Computer programming applications using numerical methods on civil engineering problems
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 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  Introduction, Mathematical Modelling, Programming, Error Analysis, Computer Programming, Excel and High Level Languages.
2. Week  Roots of Equations: Graphical, Bisection, False Position, Simple Fixed-Point Iteration, The Newton Raphson,Secant Methods,Systems of Non-linear Eqs.
3. Week   Linear Algebraic Equations: Gauss Elimination, Gauss-Seidel, Gauss-Jordan, Thomas Algorithm,L-U Decomposition and Matrix Inverse.
4. Week  Curve Fitting: Least-Squares Regression; Linear Regression, Polynomial Regression, Multiple Linear Regression, Nonlinear Regression.
5. Week  Interpolation; Newton's Divided-Difference Interpolating Polynomials, Lagrange Interpolating Polynomials.
6. Week  Numerical Differentiation and Integration:Newton Cotes Integration Formulae, Trapezoidal Rule, Simpson's Rules, Multiple Integrals
7. Week  Midterm examination 1
8. Week  Improper Integrals, Numerical Differentiation, High-Accuracy Differention Formulas, Partial Differention.
9. Week  Ordinary Differential Equations: Euler's Method, Improved Euler (Heun) Method, Runge-Kutta Methods.
10. Week  Solution of Systems of Ordinary Differential Equations Boundary Value and Eigenvalue Problems.
11. Week  Finite Difference Methods: Solution Methods for Elliptic Equations, Laplace Equation, Boundary Conditions, Control Volume Approache.
12. Week  Solution Methods for Parabolic Equations:Heat Conduction Equation, Explicit Methods, Implicit Method,The Cranck-Nicolson Method,Two dimension problems.
13. Week  Solution Methods for Hyperbolic Equations.
14. Week  Case Studies for Partial Differential Equations.
15. Week  Mid-term examination 2.
16. Week  -
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
2
70
 Assignment
6
30
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
12
2
24
 Material Design and Implementation
0
 Report Preparing
6
5
30
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
2
15
30
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
178
 TOTAL WORKLOAD / 25: 
7.12
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11
12
13
14
15X
16
17
18X
 -- NAME OF LECTURER(S)
   (Asst. Prof. Dr. Önder Koçyiğit)
 -- WEB SITE(S) OF LECTURER(S)
   (www.gazi.edu.tr/site/konder)
 -- EMAIL(S) OF LECTURER(S)
   (konder@gazi.edu.tr)