COURSE DESCRIPTION AND APPLICATION INFORMATION

Course Name Code Semester T+A+L (hour/week) Type (C / O) Local Credit ECTS
Mathematical Methods in Applied Science and Engineering CSE 618 Fall-Spring 03+00+00 Elective 3 7.5
Academic Unit: Computational Science and Engineering
Mode of Delivery: Face to face
Prerequisites: None
Language of Instruction: English
Level of Course Unit: Doctorate
Course Coordinator: Ayşe Hümeyra BİLGE
Course Lecturer(s): Ayşe Hümeyra BİLGE
Course Objectives: To provide advanced mathematical tools necessary for research in engineering and computational science
Course Contents: Basic notions of limits, continuity, differentiation, Vector spaces, inner product spaces. Linear transformations, canonical forms, multilinear algebra, Orthonormal sets in inner product spaces. Approximations in terms of orthogonal functions. Fourier series, Fourier transform, Discrete Fourier transform, Fast Fourier transform, other integral transforms, Ordinary Differential Equations, existence uniqueness, qualitative solutions, boundary value problems, numerical applications with Matlab Series solutions of ODE'S (Bessel’s functions) PDE’S, classification, Laplace eqn., Wave eqn, Heat eqn, solution by separation of variables
Learning Outcomes of the Course Unit (LO):
    Planned Learning Activities and Teaching Methods: Learning activities consist of lectures, homework, written exams and preparation of projects related to their research proposals.


    WEEKLY SUBJECTS AND RELATED PREPARATIONS

    WeekSubjectsRelated Preperation


    REQUIRED AND RECOMMENDED READING

    Hoffman and Kunze, Linear Algebra
    Boyce and Di Prima, Differential Equations


    OTHER COURSE RESOURCES

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    ASSESSMENT METHODS AND CRITERIA

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    WORKLOAD

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    Total Workload (hour):0


    THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)

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