ECTS - Signals and Systems
Signals and Systems (EE303) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Signals and Systems | EE303 | 5. Semester | 3 | 1 | 0 | 3 | 7 |
| Pre-requisite Course(s) |
|---|
| MATH276 |
| Course Language | English |
|---|---|
| Course Type | Compulsory Departmental Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Demonstration, Experiment, Question and Answer, Drill and Practice, Project Design/Management. |
| Course Lecturer(s) |
|
| Course Objectives | Understand the characteristics and representation of continuous and discrete time signals. Understand the characteristics and the mathematical representation and analysis in the time and frequency domain of linear-time-invariant systems. Understand the Fourier series and transform. Understand the Laplace transform. Solve problems using Matlab. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Representation and analysis of continuous and discrete time signals and systems; time and frequency analysis of linear time-invariant systems; convolution, differential and difference equations, Fourier series and Fourier transform, Laplace transform, Z-transform, sampling, quantization and discrete-time processing of continuous-time signals. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Signals: Continuous-Time (CT) and Discrete-Time (DT) signals,Transformation of the Independent Variable,The Unit Impulse and Unit Step Functions | Glance this week’s topics from the lecture |
| 2 | Systems: CT and DT Systems, System Properties | Review last week and glance this week’s topics from the lecture |
| 3 | Linear Time-Invariant (LTI) Systems •DT LTI Systems: Convolution Sum •CT LTI Systems: Convolution Integral •Properties of LTI Systems •Causal LTI Systems described by differential and difference equations | Glance this week’s topics from the lecture |
| 4 | LTI Systems | Review last week and glance this week’s topics from the lecture |
| 5 | Fourier Series Representation of Periodic Signals •The response of LTI systems to complex exponentials •Fourier Series Representation of CT and DT signals •Properties of Fourier Series •Fourier Series and LTI systems •Filtering | Glance this week’s topics from the lecture |
| 6 | Fourier Series of Periodic Signals | Review last week and glance this week’s topics from the lecture |
| 7 | The CT Fourier Transform (FT) •Representation of Aperiodic Signals •The FT for Periodic Signals •Properties of the CT FT •Systems Characterized by Linear Constant-Coefficient Differential Equations | Glance this week’s topics from the lecture |
| 8 | The CTFT | Review last week and glance this week’s topics from the lecture |
| 9 | The CTFT | Review last week and glance this week’s topics from the lecture |
| 10 | The DT Fourier Transform (FT) •Representation of Aperiodic Signals •The FT for Periodic Signals •Properties of the DT FT •Systems Characterized by Linear Constant-Coefficient Difference Equations | Glance this week’s topics from the lecture |
| 11 | The DTFT | Review last week and glance this week’s topics from the lecture |
| 12 | Sampling •The Sampling Theorem •Reconstruction of a signal from its Samples •Aliasing | Glance this week’s topics from the lecture |
| 13 | The Laplace Transform •Properties of the Laplace Transform •Analysis of LTI Systems using the Laplace transform •The System Function | Glance this week’s topics from the lecture |
| 14 | The LT | Review last week and glance this week’s topics from the lecture |
| 15 | Final examination period | Review topics |
| 16 | Final examination period | Review topics |
Sources
| Course Book | 1. Signals and Systems, Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab, 2nd Edition, Prentice-Hall, 1997. |
|---|---|
| Other Sources | 2. Signals and Systems - Continuous and Discrete, R.F. Ziemer, W.H. Tranter, and D.R. Fannin, 4th Edition. Prentice Hall, 1998. |
| 3. Computer Explorations in Signals and Systems Using Matlab, J.R. Buck, A. Singer, and M.M. Daniel, 2nd Edition, Pearson |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | 8 | 20 |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 40 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 11 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| 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 | Adequate knowledge of subjects related to mathematics, natural sciences, and Electrical and Electronics Engineering discipline; ability to apply theoretical and applied knowledge in those fields to the solution of complex engineering problems. | X | ||||
| 2 | An ability to identify, formulate, and solve complex engineering problems, ability to choose and apply appropriate models and analysis methods for this. | X | ||||
| 3 | An ability to design a system, component, or process under realistic constraints to meet desired needs, and ability to apply modern design approaches for this. | X | ||||
| 4 | The ability to select and use the necessary modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; the ability to use information technologies effectively | X | ||||
| 5 | Ability to design and conduct experiments, collect data, analyze and interpret results for investigating complex engineering problems or discipline-specific research topics. | X | ||||
| 6 | An ability to function on multi-disciplinary teams, and ability of individual working. | X | ||||
| 7 | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; active report writing and understanding written reports, preparing design and production reports, the ability to make effective presentation the ability to give and receive clear and understandable instructions. | X | ||||
| 8 | Awareness of the necessity of lifelong learning; the ability to access knowledge, follow the developments in science and technology and continuously stay updated. | X | ||||
| 9 | Acting compliant with ethical principles, professional and ethical responsibility, and knowledge of standards used in engineering applications. | X | ||||
| 10 | Knowledge about professional activities in business, such as project management, risk management, and change management awareness of entrepreneurship and innovation; knowledge about sustainable development. | X | ||||
| 11 | Knowledge about the impacts of engineering practices in universal and societal dimensions on health, environment, and safety. the problems of the current age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | 8 | 2 | 16 |
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 6 | 84 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 3 | 1 | 3 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 8 | 16 |
| Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
| Total Workload | 177 | ||