ECTS - Signals and Systems
Signals and Systems (EE303) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Signals and Systems | EE303 | 5. Semester | 3 | 1 | 0 | 3 | 7 |
Pre-requisite Course(s) |
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MATH276 |
Course Language | English |
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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) |
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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;
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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 |
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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. |
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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 |
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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 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | X |
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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 | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Possesses sufficient knowledge in mathematics, natural sciences, and discipline-specific topics in Electrical and Electronics Engineering; uses this theoretical and practical knowledge to solve complex engineering problems. | X | ||||
2 | Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analytical and modeling methods for this purpose. | X | ||||
3 | Designs complex systems, processes, devices, or products under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, depending on the nature of the design.) | X | ||||
4 | Selects and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; effectively uses information technologies. | X | ||||
5 | Designs experiments, conducts tests, collects data, analyzes, and interprets results to investigate complex engineering problems or discipline-specific research topics. | X | ||||
6 | Works effectively in disciplinary and interdisciplinary teams; develops the ability to work independently. | X | ||||
7 | Communicates effectively in both written and verbal forms; possesses proficiency in at least one foreign language; writes effective reports, understands written reports, prepares design and production reports, delivers effective presentations, and gives and receives clear instructions. | X | ||||
8 | Recognizes the need for lifelong learning; accesses information, follows developments in science and technology, and continuously renews oneself. | X | ||||
9 | Acts in accordance with ethical principles, assumes professional and ethical responsibility, and possesses knowledge about the standards used in engineering practices. | X | ||||
10 | Possesses knowledge about professional practices such as project management, risk management, and change management; gains awareness of entrepreneurship and innovation; understands the principles of sustainable development. | X | ||||
11 | Understands the universal and societal impacts of engineering practices on health, environment, and safety; recognizes the contemporary issues reflected in the field of engineering and understands the legal implications of engineering solutions. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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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 |