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Algebraic and Numerical Computations In Algorithm Design

Mathematics

Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Algebraic and Numerical Computations In Algorithm Design MAT501 Elective Master's degree 1 Fall 8

Name of Lecturer(s)

Prof. Dr. Serdal PAMUK
Associate Prof. Dr. Arzu COŞKUN
Associate Prof. Dr. Hülya KODAL SEVİNDİR

Learning Outcomes of the Course Unit

1) List basic definitions and notions.
2) Explain complexity notion on algorithms.
3) Calculate complexity for some algorithms.
4) State basic algebraic and numerical calculations on algorithm design.
5) State some algorithms on math and engineering.
6) State different ways to design fast/superfast algorithms.

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

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

This course provides candidates with profound knowledge on complexity notion for algorithms, polynomial interpolation (preconditiong usage), optimality of Horner's algorithm, fast fourier transformation, fast polynomial algorithms. Schönhage and Strassen algorithms, polynomial rootfinding, pade approximation, extended Euclidean algorithm, rational interpolation, pade approximation, interpolation algorithms for multivariable polynomials, algebraic techniques on coding.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

40%

 

Number

Percentage

Semester Studies

Other(s)

1

5%

Midterm Examination

1

70%

Quiz

2

10%

Presentation/Seminar

3

15%

 

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required