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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Basic Mathematics For Biomedical Sciences BMM500 Elective Master's degree 1 Fall 8

Name of Lecturer(s)

Prof. Dr. Ali DEMİR

Learning Outcomes of the Course Unit

1) Recognize ordinary 1st order differential euations (DE), systems of DE, and solution methods
2) Recognize linear DE and solution methods
3) Recognize method of variation of parameters and Green's function definitions
4) Recognize Laplace and Fourier (series and integral) transforms

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9
Learning Outcomes
1 Middle Middle Middle Middle Middle Middle High High Middle
2 Middle Low Middle Middle Middle High High Middle Low
3 Middle Middle Middle Middle High High Middle Middle Middle
4 Middle Low High Middle Middle Middle High High High

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

Ordinary differential equations (DE): 1st order DE (separable, homogeneous, exact, linear, Bernoulli, Riccati). Linear and constant-coefficient 2nd and higher order DE (homogeneous and non-homogeneous). Cauchy-Euler DE. Variation of parameters and Green's function. Systems of ordinary DE. Laplace transform. Series solutions of DE. Special functions: Bessel, Chebyshev, Legendre. Sturm–Liouville problems and eigenfunctions. Fourier series and Fourier integral transforms.

Weekly Schedule

1) Linear algebra
2) Linear algebra
3) Differential equation systems
4) Differential equation systems
5) Differential equation systems
6) Stability
7) Stability
8) Midterm examination/Assessment
9) Laplace transformations
10) Laplace transformations
11) Fourier series and Fourier transformations
12) .Fourier series and Fourier transformations
13) Partial differential equations
14) Partial differential equations
15) Partial differential equations
16) Final examination

Recommended or Required Reading

1- ADVANCED ENGINEERING MATHEMATICS ERWIN KREYSZIG Professor of Mathematics Ohio State University Columbus, Ohio In collaboration with HERBERT KREYSZIG New York, New York EDWARD J. NORMINTON Associate Professor of Mathematics Carleton University Ottawa, Ontario JOHN WILEY & SONS, INC.

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Group Study
4) Problem Solving


Assessment Methods and Criteria

Contribution of Presentation/Seminar to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required