Türkçe | English
OF FACULTY of TECHNOLOGY / DEPARTMENT of ENERGY SYSTEMS ENGINEERING

Course Catalog
http://www.ktu.edu.tr/ofenerji
Phone: +90 0462 377 84 68
OFTF
OF FACULTY of TECHNOLOGY / DEPARTMENT of ENERGY SYSTEMS ENGINEERING /
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

ESM2018Engineering Mathematics3+0+0ECTS:5
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of ENERGY SYSTEMS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDoç. Dr. Esma ULUTAŞ
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To equip the students with the knowledge of applied mathematics to the such extent that they can understand the mathematical expressions taking place in their curriculum and that they can model, analyze, and interpret any engineering problem that they may face during their professional life.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : model an engineering problem mathematically.1,5,111
LO - 2 : recognize Fourier series, integrals, and transforms and know how to use them in the solution of engineering problems.1,5,111
LO - 3 : recognize and define partial differential equatins and accompanying boundary and/or initial conditions.1,5,111
LO - 4 : solve various forms of the heat equation and the wave equation through the use of the separation of variables technique.1,5,111
LO - 5 : understand the theory of complex analytic functions.1,5,111
LO - 6 : use the methods for analytic functions in solving more complicated heat conduction and fluid flow problems as well as simpler problems of mechanical vibrating systems.1,5,111
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), LO : Learning Outcome

 
Contents of the Course
Mathematical modeling. Fourier analysis: Fourier series, integrals, and transforms. Partial differential equations: The method of separation of variables, solution of the heat conductin equation and the wave equation by separating variables. Complex analysis: complex numbers and functions, complex integration, Taylor series, Laurent series, residue integration and its use in the calculation of real integrals, geometrical interpretation of analytical functions, complex analysis and potential theory, sample applications to heat transfer and fluid mechanics problems.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Elements of mathematical modeling: Modeling, analysis, and interpretation. The interrelation of the physical laws including the conservation of mass, the conservation of energy, the conservation of linear momentum and the modeling.
 Week 2Some modeling examples from various physical problems and engineering applications.
 Week 3Fourier analysis: Fourier series, Fourier sine and cosine series.
 Week 4Fourier itegral, Fourier sine and cosine transforms.
 Week 5Partial differential equations: Basic concepts, the wave equation and its solution by separating variables, the use of Fourier series in the solution process.
 Week 6Solution of heat equation by Fourier series.
 Week 7Solution of heat equation by Fourier integrals and transforms.
 Week 8Complex analysis: Complex numbers and functions, limit, continuity, and derivatives of a complex function.
 Week 9Midterm exam
 Week 10Complex integration: Line integral in the complex plane, Cauchy's integral theorem.
 Week 11Taylor series: Power series, functions given by power series, power series as Taylor series.
 Week 12Laurent series and residue integration method, residue integration of real integrals.
 Week 13Geometrical interpretation of analytical functions.
 Week 14Complex analysis and potential theory, application to heat transfer problems.
 Week 15Complex analysis and potential theory, application to fluid mechanics problems.
 Week 16End of the term exam
 
Textbook / Material
1Kreyszig, E. 2006; Advanced Engineering Mathematics, John Wiley, Singapore.
 
Recommended Reading
1O'Neil, P. V. 2003; Advanced Engineering Mathematics, Thomson, New York.
2Greenberg, E. 1998; Advanced Engineering Mathematics, Prentice Hall, New Jersey.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2 50
End-of-term exam 16 2 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 13 39
Sınıf dışı çalışma 4 14 56
Arasınav için hazırlık 15 1 15
Arasınav 3 1 3
Dönem sonu sınavı için hazırlık 10 1 10
Dönem sonu sınavı 2 1 2
Total work load125