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MM 204Engineering Mathematics3+0+0ECTS:6
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of MECHANICAL ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Zehra ŞAHİN
Co-LecturerProf. Dr. Orhan DURGUN
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.1,21
LO - 2 : recognize Fourier series, integrals, and transforms and know how to use them in the solution of engineering problems.1,21
LO - 3 : recognize and define partial differential equatins and accompanying boundary and/or initial conditions.1,21
LO - 4 : solve various forms of the heat equation and the wave equation through the use of the separation of variables technique.1,21
LO - 5 : 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.1,21
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.
 
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 3Some modeling examples from various physical problems and engineering applications.
 Week 4Fourier analysis: Fourier series.
 Week 5Fourier sine and cosine series.
 Week 6Fourier Integrals
 Week 7Fourier sine and cosine transforms.
 Week 8Partial differential equations: Basic concepts, the wave equation and its solution by separating variables, the use of Fourier series in the solution process.
 Week 9Midterm exam
 Week 10Solution of wave equation by separating variables.
 Week 11Solution of wave equation by separating variables.
 Week 12Solution of heat equation by Fourier series.
 Week 13Heat equation: One-dimensional transient conduction problems
 Week 14Heat equation: Two-dimensional steady-state conduction problems.
 Week 15Heat equation: Two-dimensional steady-state conduction 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 05/04/2014 2 50
End-of-term exam 15 28/05/2014 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 14 42
Sınıf dışı çalışma 2 14 28
Arasınav için hazırlık 3 2 6
Arasınav 2 1 2
Dönem sonu sınavı için hazırlık 3 3 9
Dönem sonu sınavı 2 1 2
Total work load89