 MECHATRONICS ENGINEERING (ENGLISH, NONTHESIS) Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

# Course Introduction and Application Information

 Course Code Course Name Semester Theoretical Practical Credit ECTS EEE5012 Numerical Methods in Engineering Fall 3 0 3 8
 This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

### Basic information

 Language of instruction: English Type of course: Departmental Elective Course Level: Mode of Delivery: Face to face Course Coordinator : Dr. Öğr. Üyesi ZAFER İŞCAN Course Lecturer(s): Dr. Öğr. Üyesi MUSTAFA EREN YILDIRIM Recommended Optional Program Components: None Course Objectives: Teaching numerical methods to engineering students

### Learning Outcomes

 The students who have succeeded in this course; 1. Understanding the systems of linear algebraic equations. 2. Learning interpolation and curve fitting. 3. Learning roots of equations. 4. Learning numerical differentiation 5. Learning numerical integration 6. Solving numerical problems using software

### Course Content

 Systems of linear algebraic equations, interpolation and curve fitting, roots of equations, numerical differentiation, numerical integration, solving numerical problems using software

### Weekly Detailed Course Contents

 Week Subject Related Preparation 1) Introduction to Numerical Methods in Engineering 2) Introduction to programming 3) Systems of Linear Algebraic Equations: Gauss Elimination Method 4) Systems of Linear Algebraic Equations: LU decomposition 5) Systems of Linear Algebraic Equations: Matrix Inverse 6) Interpolation 7) Curve Fitting 8) Roots of Equations 9) Numerical differentiation 10) Numerical Integration 11) Initial Value Problems 12) Boundary Value Problems 13) Symmetric Matrix Eigenvalue Problems 14) Introduction to Optimization

### Sources

 Course Notes / Textbooks: Jaan Kiusalaas, Numerical Methods in Engineering with Python 3, 3rd Edition References: 1. Steven C. Chapra, Applied Numerical Methods with MATLAB® for Engineers and Scientists, Fourth Edition.

### Evaluation System

 Semester Requirements Number of Activities Level of Contribution Homework Assignments 1 % 20 Presentation 1 % 20 Midterms 1 % 20 Final 1 % 40 Total % 100 PERCENTAGE OF SEMESTER WORK % 60 PERCENTAGE OF FINAL WORK % 40 Total % 100