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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Numerical Methods In Mechatronics Engineering MKT212 Compulsory Bachelor's degree 2 Spring 4

Name of Lecturer(s)

Assistant Prof. Dr. Öznur KÜÇÜKSARI
Assistant Prof. Dr. Serkan ZEREN
Research Assistant Dr. Mehmet GÜLEÇ

Learning Outcomes of the Course Unit

1) Understand the fundamentals of numerical methods.
2) Solve linear and nonlinear equations.
3) Choose the proper numerical method for a particular problem.
4) Have the ability to apply the numerical methods in engineering problems.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11
Learning Outcomes
1 High Middle Middle Middle Middle Middle Middle Middle Middle Middle Middle
2 High Middle Middle Middle Middle Middle Middle Middle Middle Middle Middle
3 High Middle Middle Middle Middle Middle Middle Middle Middle Middle Middle
4 High Middle Middle Middle Middle Middle Middle Middle Middle Middle Middle

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

-

Course Contents

Introduction to numerical methods and types of errors, the roots of algebraic functions, direct and iterative methods, implicit and explicit methods, interpolation, solution of linear and non-linear equations, numerical integration, the numerical solution of differential equations and MATLAB applications.

Weekly Schedule

1) Reference Search, Mathematical Modeling and Engineering Problem Solving , Introduction to the MATLAB
2) Reference Search, Mathematical Modeling and Engineering Problem Solving , Introduction to the MATLAB
3) Types Of Errors And The Taylor Series, Finding the Roots of Equations
4) Types Of Errors And The Taylor Series, Finding the Roots of Equations
5) Solutions of Linear and Nonlinear Equations
6) Solutions of Linear and Nonlinear Equations
7) Curve Fitting
8) Midterm Exam
9) Numerical Differentiation and Integration
10) Numerical Differentiation and Integration
11) Solutions of Ordinary Differential Equations
12) Solutions of Ordinary Differential Equations
13) Solutions of Partial Differential Equations
14) Solutions of Partial Differential Equations
15) Optimization
16) Final exam.

Recommended or Required Reading

1- -

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Self Study
7) Problem Solving


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

50%

 

Number

Percentage

Semester Studies

Midterm Examination

1

80%

Quiz

2

20%

 

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

English

Work Placement(s)

Not Required