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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of MATHEMATICS
Doctorate
Course Catalog
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FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of MATHEMATICS / Doctorate
Katalog Ana Sayfa
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MATI7122Numerical Mathematics in Fluids3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of MATHEMATICS
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Selçuk Han AYDIN
Co-LecturerAsst. Prof. Dr. Pelin ŞENEL
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
Gain the basic information about the fluid dynamic equations and ability to solve them numerically
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Gain the basic information about fluid dynamics5,71,3,6,
PO - 2 : Learn the numerical methods for the solution of fluid dynamic problems5,71,3,6,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Mathematical derivation of computational fluid dynamics equations, stability and convergence analysis, basic information about numerical methods and to write computer programs for solving some computational fluid dynamics problems.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction, Vector Calculus and Fluids
 Week 2Mathematical basics of fluid dynamics and partial differential equations
 Week 3Derivation of basic fluid dynamic equations and analysis
 Week 4Basic numerical methods (Finite Difference and Finite Volume Methods)
 Week 5Programming with Octave
 Week 6Programming with Maxima
 Week 7Finite Element Method and applications with FreeFEM
 Week 8Lid driven cavity flow, step flow, flow around circle
 Week 9MidTerm
 Week 10Solutions of steady and unsteady convection-diffusion equation
 Week 11Solution of the MHD Equations
 Week 12Solution of the Burger's Equation
 Week 13Solution of the Stokes Equation with MAC Algorithm
 Week 14Navier-Stokes Equations and Artificial Compressibility Method
 Week 15Solution of the Navier-Stokes equations in stream function and vorticity form
 Week 16Final
 
Textbook / Material
1John D. Anderson, JR. Computational Fluid Dynamics, The Basics with Applications
 
Recommended Reading
1H.K. Versteeg and W. Malalasekera, An Introduction to Computatioanl Fluid Dynamics, Pearson, (Sec.Ed.)
2G. Qin, Computatioanl Fluid Dynamics for Mechanical Engineering, CRC Press.
3T.J. Chung, Computational Fluid Dynamics, Cambridge University Press, (Sec.Ed.)
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 16/04/2023 120 30
Homework/Assignment/Term-paper 5
12
08/03/2023
15/05/2023
180
180
20
End-of-term exam 16 20/06/2023 120 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 4 14 56
Arasınav için hazırlık 6 1 6
Arasınav 2 1 2
Ödev 4 4 16
Dönem sonu sınavı için hazırlık 8 1 8
Dönem sonu sınavı 2 1 2
Total work load132