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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Inverse Problems MAT620 Elective Doctorate degree 1 Spring 8

Name of Lecturer(s)

Associate Prof. Dr. Mine Aylin BAYRAK
Associate Prof. Dr. Arzu COŞKUN

Learning Outcomes of the Course Unit

1) Define inverse problems
2) Define the boundary value problems
3) Define a well-posed problems for partial differential equations
4) Define Ill-posed problems
5) Apply the regularization technique
6) Define the ordinary differential equations, boundary-value problems for elliptic equations and parabolic equations
7) Apply the methods of solution for ill-posed problems
8) Apply various numerical methods

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation
6 No relation No relation No relation No relation No relation No relation No relation
7 No relation No relation No relation No relation No relation No relation No relation
8 No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

Candidates are provided with in-depth knowledge on the definition of inverse problems, boundary value problems, for partial differential equations well-posed problems, Ill-posed problems, regularization, the boundary-value problems for ordinary differential equations, boundary-value problems for elliptic equations, boundary-value problems for parabolic equations, solving methods for the ill-posed problems, various numerical methods.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



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