Ders Planı

Lesson Information

Course Credit	3.0
Course ECTS Credit	6.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Programme Elective
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	S
Course Coordinator
Instructor (s)
Course Assistant	Prof. Dr. İSMAİL TOK

Purpose and Content

The aim of the course	This course aims to give solutions of the nonlinear equation systems differential equationsthe partial differential equations and finite difference .
Course Content	This corse covers Numerical solutions of nonlinear equation systems , simplex method, eigenvalue problems ,linear first,second and third order connected functions , numerical solutios of the differential equations, Taylor's series method , Runge -Kutta's method, Galerkin's method, boundary value problems , data anlysis by least squares methods ,numerical solutions of high order equations ,Monte Carlo methods and simulation , calculating area and volume methods by Monte Carlo , numerical solutions of the partial differential equations and finite difference , numerical optimization, wave equation and numerical solutions, finite element methods for numerical solutions of partial diffderential equations , stability analysis , consistency for linear problems and for nonlinear problems, convergence .

The aim of the course

This course aims to give solutions of the nonlinear equation systems differential equationsthe partial differential equations and finite difference .

Course Content

This corse covers Numerical solutions of nonlinear equation systems , simplex method, eigenvalue problems ,linear first,second and third order connected functions , numerical solutios of the differential equations, Taylor's series method , Runge -Kutta's method, Galerkin's method, boundary value problems , data anlysis by least squares methods ,numerical solutions of high order equations ,Monte Carlo methods and simulation , calculating area and volume methods by Monte Carlo , numerical solutions of the partial differential equations and finite difference , numerical optimization, wave equation and numerical solutions, finite element methods for numerical solutions of partial diffderential equations , stability analysis , consistency for linear problems and for nonlinear problems, convergence .

Learning Outcomes

Have advanced theoretical and practical knowledge in mathematics and computer science.
Gain an in-depth knowledge on Computer Science including computer programming, word processing, database functions, accessing the internet and softwares.
Possess the knowledge of advanced research methods in mathematics-computer field.
Possess theoretical and practical knowledge in mathematics, computation and computer science.
Define computer programming, word processing, data functions, internete access and software programs.
Describe advanced research methods in the field of Mathematics-Computer Science.
Evaluate and interpret data using the knowledge and skills gained in the fields of mathematics and computer science.
Identify, define and analyze problems in the fields of mathematics and computer science; develop solutions based on research and evidence.
Identify, define and model mathematics, computation and computer science problems; select and apply appropriate analysis and modeling methods for this purpose.
Design and apply interactive experimental environments to get the definitions and first solutions of the problems of computer science and computer science and evaluate these environments.
Having the discipline of mathematics, understand the operating logic of the computer and gain the ability to think based on account.
Perform all phases of life cycle in computer based systems.
Work effectively as an individual and as a team member to solve problems in the areas of mathematics and computer science.
Have the ability to act independently, use initiative and creativity.
Work effectively either individually or in multidisciplinary teams.
Evaluate advanced knowledge and skills in the field with a critical approach.
Follow current developments about the awareness of the necessity of continuous professional development and information and communication technologies.
Have the consciousness of the necessity of lifelong learning and continuously develop professional knowledge and skills.
Use the time effectively in the process of getting the conclusion with analytical thinking ability.
Have at least one foreign language knowledge and the ability to communicate effectively in Turkish, verbally and in writing.
Be aware of the effects of information applications on individual, institutional, social and universal dimensions and have the awareness about entrepreneurship, innovation.
Have the awareness of professional and ethical responsibility and legal consequences of information applications
Use the knowledge about the field for the benefit to society.

Weekly Course Subjects

1	Numerical solutions of nonlinear equation systems.
2	Simplex method, eigenvalue problems.
3	Linear first,second and third order connected functions.
4	Numerical solutios of the differential equations, Taylor's series method.
5	Runge -Kutta's method, numerical solutions of boundary value problems.
6	Galerkin's method and data anlysis by least squares methods.
7	Numerical solutions of high order equations and systems.
8	Monte Carlo methods and simulation.
9	Calculating area and volume methods by Monter Carlo.Midterm Exam.
10	Numerical solutions of the partial differential equations and finite difference.
11	Numerical optimization, wave equation and numerical solutions.
12	Finite element methods for numerical solutions of partial diffderential equations.
13	Stability analysis and convergence, consistency for linear problems.
14	Stability and consistency for nonlinear problems and convergence.

Resources

1.Çağal, B.,Sayısal Analiz,Birsen Yayınevi,1998.
2.Türker,E.S., Bilgisayar Uygulamalı Sayısal Analiz Yöntemleri,Adapazrı,1997.
3.Cheney,W.& Kincaid, D.,Numerical Analysis,1996

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Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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