COMPUTER ENGINEERING (ENGLISH, NON-THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
EEE5012 | Numerical Methods in Engineering | Fall Spring |
3 | 0 | 3 | 8 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
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 |
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 |
Systems of linear algebraic equations, interpolation and curve fitting, roots of equations, numerical differentiation, numerical integration, solving numerical problems using software |
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 |
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. |
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 |
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 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Define and manipulate advanced concepts of Computer Engineering | |
2) | Use math, science, and modern engineering tools to formulate and solve advenced engineering problems | |
3) | Notice, detect, formulate and solve new engineering problems. | |
4) | Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results | |
5) | Follow, interpret and analyze scientific researches in the field of engineering and use the knowledge in his/her field of study | |
6) | Work effectively in multi-disciplinary research teams | |
7) | Acquire scientific knowledge | |
8) | Find out new methods to improve his/her knowledge. | |
9) | Effectively express his/her research ideas and findings both orally and in writing | |
10) | Defend research outcomes at seminars and conferences. | |
11) | Prepare master thesis and articles about thesis subject clearly on the basis of published documents, thesis, etc. | |
12) | Demonstrate professional and ethical responsibility. | |
13) | Develop awareness for new professional applications and ability to interpret them. |