BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İ206B2Engineering MathematicsCompulsory244
Level of Course Unit
First Cycle
Objectives of the Course
This course aims to provide mathematical tools for analysing models in the form of second-order variable-coefficient differential equations and constant coeffficient partial differential equations. Furthermore, an introduction to complex numbers and theory of complex functions are provided.
Name of Lecturer(s)
Dr. Öğr. Üyesi Ebubekir AKKOYUNLU
Learning Outcomes
1 Gain the knowledge and experience in solving second-order common ordinary differential equation
2 Gain the knowledge and experience in solving constant coefficient heat, wave and potantial equation
3 Gain the knowledge and experience in complex numbers and basic theory of complex functions with some applications.
4 Calculate contour integrals,Taylor and Laurent expansions and use the calculus of residues to evaluate integrals
5Expressing a vector belonging to different bases and finding its coordinates
6Calculate the norm of a vector in dot product spaces and determine whether two vectors are orthogonal.
7Ability to orthogonalize linear independent vectors using the Gram - Schmidt method
8Ability to solve problems using the properties of linear transformations
9Gain the knowledge and experience in solving second-order common ordinary differential equation
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Fourier series and convergence of general Fourier series. Fourier sinus and cosinus series, solution of differential equations with Fourier series. Introduction to first and second order partial differential equations. Solutions of heat and wave equation using separation of variables and Laplace transformation. Sturm-Liouville problems and eigenfunction expansions. Introduction to complex numbers and properties. Concept of complex functions. Conformal mapping. Limit, continuity and derivative in complex functions. Integration of complex functions. Cauchy integration theorems and applications. Cauchy derivative theorems and applications. Taylor and Laurent series. Residue Theorem and application to calculation of real integrals.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Fourier series and convergence of general Fourier series.
2Fourier sinus and cosinus series, solution of differential equations with Fourier series
3Introduction to first and second order partial differential equations
4Solutions of heat and wave equation using separation of variables and Laplace transformation
5Sturm-Liouville problems and eigenfunction expansions
6Introduction to complex numbers and properties
7Concept of complex functions, conformal mapping
8MID-TERM EXAM
9Limit, continuity and derivative in complex functions
10Limit, continuity and derivative in complex functions
11Concept of analytical and harmonic functions
12Integration of complex functions
13Cauchy integration theorems and applications
14Taylor and Laurent series, Residue Theorem and application to calculation of real integrals.
15Taylor and Laurent series, Residue Theorem and application to calculation of real integrals.
16Final exam
Recommended or Required Reading
Azer Arastunoğlu Kasımzade. "Mühendislikte DİFERENSİYEL DENKLEMLER", 2021 Ankara, Nobel Yayınları Peter V. O’Neil, Çeviren:Yaşar Pala, İLERİ MÜHENDİSLİK MATEMATİĞİ - Advanced Engineering Mathematics, 2022 Ankara, Nobel Yayınları.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14342
Self Study14456
Individual Study for Mid term Examination177
Individual Study for Final Examination11515
TOTAL WORKLOAD (hours)124
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High