EEE5012 Numerical Methods in EngineeringBahçeşehir UniversityDegree Programs MECHATRONICS ENGINEERING (ENGLISH, NONTHESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
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

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