Information Package / Course Catalogue
Applied Numerical Methods
Course Code: MME527
Course Type: Required
Couse Group: Second Cycle (Master's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

Teaching advanced level of Numerical mathematical methods

Course Content

Introductory concepts, finding the roots of nonlinear equations of one independent variable, Liner system of equations, Nonlinear system of equations (roots of system of equations), Optimization, Curve fitting, Numerical Differentiation and Integration, Ordinary Differential Equations, Eigen value problem.

Name of Lecturer(s)
Assoc. Prof. Mustafa ASKER
Learning Outcomes
1.Assessment of pre-knowledge of programming languages
2.Assessment of knowledge about linear and non-linear equations
3.Ability to utilize numerical differentiation and integration
4.Learning numerical analysis techniques
5.Application of numerical analysis techniques in computer environment
Recommended or Required Reading
1.Chapra, S., 2006,. Numerical methods for engineers 4th edition McGraw-Hill Book
2.Burden R.L., Faires J. D. 2011, Numerical Analysis 9th edition Brooks/Cole Cengage Learning
3.M. Turhan Coban, "Numerical Analysis with java examples"
Weekly Detailed Course Contents
Week 1 - Theoretical
Introductory concepts, Programming languages, Plotting, Taylor series applications
Week 2 - Theoretical
Finding the roots of non linear equations of one independent variable
Week 3 - Theoretical
Linear system of equations
Week 4 - Theoretical
Non linear system of equations (roots of system of equations)
Week 5 - Theoretical
Optimization
Week 6 - Theoretical
Optimization
Week 7 - Theoretical
Numerical Differentiation and Integration
Week 8 - Intermediate Exam
Numerical Differentiation and Integration, Midterm Exam
Week 9 - Theoretical
Numerical Differentiation and Integration
Week 10 - Theoretical
Ordinary Differential Equations
Week 11 - Theoretical
Ordinary Differential Equations
Week 12 - Theoretical
Eigenvalue problem
Week 13 - Final Exam
Final Exam
Week 14 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%15
Final Examination1%60
Quiz1%15
Assignment5%5
Term Assignment1%5
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Practice140342
Assignment130226
Laboratory120672
Individual Work140456
Midterm Examination1022
Final Examination1022
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
OÇ-1
4
5
4
5
5
5
3
3
3
4
5
5
OÇ-2
5
5
5
4
3
4
4
5
5
4
3
5
OÇ-3
5
5
5
4
3
3
4
3
4
5
5
5
OÇ-4
4
5
4
3
4
5
4
3
5
4
5
5
OÇ-5
5
4
3
4
4
3
5
5
4
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026