BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| 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 | Spring | 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 : | Assist. Prof. ZAFER İŞCAN |
| Course Lecturer(s): |
Assist. Prof. 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 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Presentations / Seminar | 1 | 30 | 30 |
| Homework Assignments | 1 | 30 | 30 |
| Midterms | 1 | 1 | 1 |
| Final | 1 | 1 | 1 |
| Total Workload | 202 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |