Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
NUMERICAL MODELING JFM343 0 + 0 0 0

Prerequisites None

Language of Instruction
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals Students learn numerical methods that used in most of the engineering problems. They learn truncation and interpolation errors, curve fitting, interpolation and extrapolation, numerical integration, numerical solution of PDE (elliptic, parabolic and hyperbolic type) equations by using finite difference and finite element techniques. They are also learning to develop computer algorithm to solve numerical problems.
Course Content Introducing the concept of geophysical modelling. Introduction of truncation and rounding errors and Taylor Series. Interpolation, numerical integral methods. Numerical solution methods used for solution of differential equations; general presentation of numerical integration, finite differences, finite element methods. Finite difference method: forward, backward and central difference operators, numerical solution of 1-D, 2-D and 3-D problems with finite differences. Obtaining the system matrix. Finite Element Method; basic element types used, shape functions, node point, finite element mesh concepts, introduction of variational and weighted residual approaches, system matrix. Differences between finite element and finite difference methods. Solution methods of system matrix, linear and iterative methods, computer applications. Finite elements and finite difference numerical solution methods to solve geophysical problems and computer applications.
Learning Outcomes 1) Solve partial differantial equations using numerical differentiation and integral
2) Develop algorithm to show numerical solution results
3) Develop algorithms to interpolation and numerical differantiation
4) Develop algorithms to numerical solution of geophysical modelling equations

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week .Course Objective and Scope, NUMERICAL MODELING AND NUMERICAL METHOD CONCEPT Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool; Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
.Course Objective and Scope, NUMERICAL MODELING AND NUMERICAL METHOD CONCEPT Lecture; Question Answer; Discussion
Brainstorming; Opinion Pool; Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
2. Week ACCURACY OF NUMERİCAL SOLUTİON : ERROR ANALYSIS AND OTHER IMPORTANT SUBJECTS Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Opinion Pool; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week TRUNCATION ERROR AND TAYLOR SERİES Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week INTERPOLATION Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
5. Week NUMERICAL INTEGRAL Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Numerical Differentiation, Partial Differential Equations (PDE) -Eleptic, -Parabolic, -Hiperbolic Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Mid-term exam Question Answer; Problem Solving
Opinion Pool
Problem Based Learning
Homework
8. Week NUMERICAL MODELING IN GEOPHYSICAL ENGINEERING, Types of Mathematical Model and Modelling Formula Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week FINITE DİFFERENCE METHOD (FDM) and PDE solutions, Dirichlet, Neumann and Mixed Boundary Condition, Accuracy and sensitivity of FDM Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Solution of Modeling Formula with FDM in Geophysical Methods,  -Seismic Methods- Wave Equation, -Electrical and EM Methods -Helmoltz Equation Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week FINITE ELEMENTS METHOD (FEM), Definition of method, history, steps to be applied in solution with FEM Lecture; Question Answer; Problem Solving
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week Solution of Modeling Formula with FEM in Geophysical Methods,  -Seismic Methods- Wave Equation, -Electrical and EM Methods -Helmoltz Equation Lecture; Question Answer; Problem Solving
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
Solution of Modeling Formula with FEM in Geophysical Methods,  -Seismic Methods- Wave Equation, -Electrical and EM Methods -Helmoltz Equation Lecture; Question Answer; Problem Solving
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week LINEAR EQUATION SYSTEMS AND SOLUTION METHODS, INDEPENDENT METHODS, - ILTERATİVE METHODS Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Project (Including Preparation and presentation Time)
14. Week Other Numerical Solution Methods and Current Developments, Multigrid, Network Analogy Lecture; Question Answer; Problem Solving; Discussion
Brainstorming; Colloquium
Problem Based Learning
Homework Presentation (Including Preparation Time) Project (Including Preparation and presentation Time)

Sources Used in This Course
Recommended Sources
Candansayar, M.E., 2004. Sayısal Modelleme Ders Notları (Yayınlanmamış).
Charpa, S. C. ve Canale, R. P. 2002, Mühendisler için sayısal yöntemler, (Çevirenler H. Heperkan ve U. Kesgin). Literatür Yayıncılık.
Geophysics, Geophysical Prospecting, Geophysical Journal Int. isimli dergilerde yayinlanmis
Rao.L. 1982. The finite element method in engineering: Pergamon Press.
Sadiku, M.O.N., 1992. Numerical Techniques in Electromagnetic, CRC Press., London.
Zhdanov, M. S., and Keller, G. V., 1994, The geoelectrical methods in geophysical exploration;

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 5 2
Homework 10 3
Presentation (Including Preparation Time) 1 2
Project (Including Preparation and presentation Time) 1 2
Report (Including Preparation and presentation Time) 1 2
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 4 5
Midterm Exam 1 2
Final Exam 1 2
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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