Graduate
Institute of Graduate Studies
Mathematics (PHD)
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Approximation Techniques

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
DMB0008 Approximation Techniques 3/0/0 DE Turkish 8
Course Goals
To Introduce some approximation methods to apply to some problem.
Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s) Assist. Prof. Dr. Hikmet Çağlar
Course Assistant(s)
Schedule Day, hours, XXX Campus, classroom number.
Office Hour(s) Instructor name, day, hours, XXX Campus, office number.
Teaching Methods and Techniques Lecture and laboratory recitation
Principle Sources Approximation Theory and Methods, M.J.D. Powell, Cambridge University, 1996.
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week The approximation problem and existence of best approximations Lecture and laboratory recitation
2. Week The uniqueness of best approximations Lecture and laboratory recitation
3. Week Approximation operators and some approximating functions Lecture and laboratory recitation
4. Week Polynomial interpolation Lecture and laboratory recitation
5. Week Divided differences Lecture and laboratory recitation
6. Week The uniform convergence of polynomial approximations Lecture and laboratory recitation
7. Week The theory of minimax approximation Lecture and laboratory recitation
8. Week Least squares approximation Lecture and laboratory recitation
9. Week Properties of orthogonal polynomials Lecture and laboratory recitation
10. Week Approximation of periodic functions Lecture and laboratory recitation
11. Week The order of convergence of polynomial approximations Lecture and laboratory recitation
12. Week The uniform boundedness theorem Lecture and laboratory recitation
13. Week Interpolation by piecewise polynomials Lecture and laboratory recitation
14. Week Uniform Approximation Lecture and laboratory recitation
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 30
Homework / Term Projects / Presentations 2 20
Final Exam 1 50


Program Outcomes
PO-1Have ability to develop new mathematical ideas and methods by using high-level mental processes such as creative and critical thinking, problem solving and decision-making.
PO-2Follow the current developments in the field of mathematics, and make the critical analysis, synthesis and evaluation of new and complex ideas.
PO-3Understand the interdisciplinary interaction related to Mathematics and play a role in an effective manner in environments that require with the resolution of problems encountered in this process.
PO-4Defend original views on the discussion of the issues in the field of mathematics with experts and communicate to show competence in oral and written.
PO-5Do research with high-level national and international scientific working groups, and acquire the responsibility to contribute to the literature by publishing original works in respected scientific journals.
PO-6Use computer software to solve problems effectively by following the developments in information and communication technologies.
PO-7Contribute to the solution of social, scientific, cultural and ethical problems encountered issues related to the field and support the development of these values.
PO-8To solve problems related to the field, establish functional interacts by using strategic decision making processes.
PO-9Establish and discuss in written, oral and visual communication at an advanced level by using at least one foreign language.
Learning Outcomes
LO-1I. Use approximation operators and some approximating functions.
LO-2II. Apply polynomial and spline interpolation to suitable problems.
LO-3III. Approximates functions at some point using divided differences.
LO-4IV. Construct modal of datas using least squares.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9