ECTS - Computational Methods in Electrical and Electronics Engineering
Computational Methods in Electrical and Electronics Engineering (EE506) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Computational Methods in Electrical and Electronics Engineering | EE506 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Ph.D. |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Drill and Practice. |
| Course Lecturer(s) |
|
| Course Objectives | The aim of this course is to review the basic numerical methods in engineering and to teach advanced computational methodologies which is to be beneficial in engineering research. The course is expected to make the graduate students able to solve the complex problems such as numerical solution of differential equation, optimization and statistical analysis which are frequently encountered in graduate level research in electrical and electronics engineering. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Root finding and numerical integration, fixed and floating point arithmetic and error standards, one and multidimensional interpolation and extrapolation, numerical optimization techniques, least squares, statistical methods (Monte Carlo), computational approaches to linear transformations (Karhunen-Loeve, discrete Fourier). |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to MATLAB and basic rules of the software | - |
| 2 | Review of basic numerical methods (root finding, numerical integration, etc.) | Review previous week's notes |
| 3 | Review of basic numerical methods (root finding, numerical integration, etc.) | Review previous week's notes |
| 4 | Fixed and floating point arithmetic, number representations, IEEE floating-point standard, error propagation, forward error analysis of primitive operations | Review previous week's notes |
| 5 | Interpolation and extrapolation (linear and polynomial interpolation in 1-D, 2-D and 3-D) | Review previous week's notes |
| 6 | Solutions of linear algebraic equations with different methods | Review previous week's notes |
| 7 | Solutions of linear algebraic equations with different methods | Review previous week's notes |
| 8 | Midterm Examination (including a MATLAB test) | Review previous week's notes |
| 9 | Numerical approaches to optimization (gradient methods, handling the constraints, Lagrange multipliers) | Review previous week's notes |
| 10 | Numerical approaches to optimization (gradient methods, handling the constraints, Lagrange multipliers) | Review previous week's notes |
| 11 | Modeling of data (review of least squares) | Review previous week's notes |
| 12 | Statistical methods (Monte Carlo methods) | Review previous week's notes |
| 13 | Linear transforms (Karhunen-Loeve transform, independent component analysis) | Review previous week's notes |
| 14 | 1-D and 2-D discrete Fourier transform (DFT) | Review previous week's notes |
| 15 | Project Presentations | Review of topics |
| 16 | Final Examination period | Review of topics |
Sources
| Course Book | 1. Steven Chapra, Raymond Canale, “Numerical Methods for Engineers”, McGraw-Hill, 6th Edition, 2009 |
|---|---|
| 2. F. B. Hildebrand , “Introduction to Numerical Analysis”, Dover, 2nd Edition, 1987 | |
| 3. H. Mathews, K.D. Fink, “Numerical Methods Using Matlab”, Pearson, 4th Edition, 2004 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 10 | 20 |
| Presentation | - | - |
| Project | 1 | 20 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 30 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 14 | 100 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems. | X | ||||
| 2 | Implementing long-term research and development studies in the major fields of Electrical and Electronics Engineering. | X | ||||
| 3 | Ability to use modern engineering tools, techniques and facilities in design and other engineering applications. | X | ||||
| 4 | Graduating researchers active on innovation and entrepreneurship. | |||||
| 5 | Ability to report and present research results effectively. | |||||
| 6 | Increasing the performance on accessing information resources and on following recent developments in science and technology. | |||||
| 7 | An understanding of professional and ethical responsibility. | |||||
| 8 | Increasing the performance on effective communications in both Turkish and English. | |||||
| 9 | Increasing the performance on project management. | |||||
| 10 | Ability to work successfully at project teams in interdisciplinary fields. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | 1 | 20 | 20 |
| Report | |||
| Homework Assignments | 5 | 3 | 15 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | |||
| Prepration of Final Exams/Final Jury | |||
| Total Workload | 125 | ||