MATH582 NUMERICAL ANALYSIS II

Course Code:2360582
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Mathematics
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Assoc.Prof.Dr. BAVER OKUTMUŞTUR
Offered Semester:Fall Semesters.

Course Objectives

The objective of this course is to provide mathematical and computational aspects of interpolation, numerical differentiations/integrations.


Course Content

Interpolation and approximation: Lagrange and Newton interpolation, Hermite interpolation, trigonometric interpolation and Fourier series. Spline interpolation B-splines and recursive algorithms. Numerical differentation and quadrature: Newton-Cotes formulas, Gaussian integration rules. Extrapolation and Romberg integration, adaptive quadrature. Hierarchal and recursive quadrature formulas: Archimedes integration formula. Root finding methods.


Course Learning Outcomes

Students are expected to understand and  to apply both theoretical and computational aspects of interpolation, numerical differentiations and numerical integrations.


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1Acquires mathematical thinking skills (problem solving, generating ways of thinking, forming correspondence, generalizing etc.) and can use them in related fields.
2Gains academic maturity through self-study.
3Can design mathematics related problems, devise solution methods and apply them when appropriate.
4Carries out parts of a mathematical research program independently.
5Has a command of Turkish and English languages so that he/she can actively communicate (read, write, listen and speak).
6Contributes to solving global, environmental and social problems either individually or as being part of a social group.
7Respects ethical values and rules; applies them in professional and social issues.
8Can work cooperatively in a team and also individually.
9Gets exposed to academic culture through interaction with others.
10Comprehends necessity of knowledge, can define it and acquires it; uses knowledge effectively and shares it with others.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution