Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| SIGNALS and SYSTEMS | - | Fall Semester | 3+2 | 4 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Zafer İŞCAN |
| Name of Lecturer(s) | Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Assistant(s) | |
| Aim | At the end of this course, students will be able to: 1. Analyse continuous time and discrete time signals and systems. 2. Understand the systems in general and perform time domain signal processing operations on both continuous time and discrete time signals for linear time invariant (LTI) systems. 3. Perform signal operation for LTI systems via convolution operation. 4. Understand Fourier Series and Transforms 5. Understand Laplace Transform and use it in system analysis 6. For discrete time signals, understand Z Transform and use it in system analysis The students will also learn how to use Matlab for problems related to systems and signals in general. |
| Course Content | This course contains; Course Intro and Introduction to Signals,Elementary Signals,Continuous Time Systems,Convolution,Fourier Series - Continuous Time,Fourier Transform : Continuous Time,Laplace Transform ,Application of Fourier Transformation on Signals and Systems,Application of LaplaceTransformation on Signals and Systems,Discrete Time Signals,Discrete Time Systems,Fourier Series and Transform : Discrete Time,Discrete Time Fourier Transform,Z-Transform. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Analyse continuous time and discrete time signals and systems. | 12, 17, 21, 9 | A, E, G |
| 2. Understand the systems in general and perform time domain signal processing operations on both continuous time and discrete time signals for linear time invariant (LTI) systems. | 12, 17, 21, 9 | A, E, G |
| 3. Perform signal operation for LTI systems via convolution operation. | 12, 17, 21, 9 | A, E, G |
| 4. Understand Fourier Series and Transforms and use them appropriately. | 12, 17, 21, 9 | A, E, G |
| 5. Understand Laplace Transform and use it in system analysis. | 12, 17, 21, 9 | A, E, G |
| 6. For discrete time signals, understand Z Transform and its use for systems analysis. | 9 | G |
| Teaching Methods: | 12: Problem Solving Method, 17: Experimental Technique, 21: Simulation Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Course Intro and Introduction to Signals | Lectures Slides 1 and 2, Textbook Chapters 1 & 2 |
| 2 | Elementary Signals | Lectures Slides 3, Textbook Chapter 1 and 2 |
| 3 | Continuous Time Systems | Lectures Slides 4, Textbook Chapter 3 |
| 4 | Convolution | Lectures Slides 5, Textbook Chapter 3 |
| 5 | Fourier Series - Continuous Time | Lectures Slides 6, Textbook Chapter 4 |
| 6 | Fourier Transform : Continuous Time | Lectures Slides 7, Textbook Chapter 4 |
| 7 | Laplace Transform | Lectures Slides 8, Textbook Chapter 9 |
| 8 | Application of Fourier Transformation on Signals and Systems | Lectures Slides 9, Textbook Chapter 4-6 |
| 9 | Application of LaplaceTransformation on Signals and Systems | Lectures Slides 10, Textbook Chapter 4-6 |
| 10 | Discrete Time Signals | Lectures Slides 11, Textbook Chapter 8 |
| 11 | Discrete Time Systems | Lectures Slides 11, Textbook Chapter 9 |
| 12 | Fourier Series and Transform : Discrete Time | Lectures Slides 12, Textbook Chapter 10 |
| 13 | Discrete Time Fourier Transform | Lectures Slides 13, Textbook Chapter 11 |
| 14 | Z-Transform | Lectures Slides 14, Textbook Chapter 12 |
| Resources |
| A. V. Oppenheim, A. S. Willsky, with S. H. Nawab, Signals and Systems, Prentice Hall, 2nd Edition, 1997. |
| Other Signals and Systems textbooks. MIT Signals and Systems website. https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/ |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | An ability to apply knowledge of mathematics, science, and engineering | X | |||||
| 2 | An ability to identify, formulate, and solve engineering problems | X | |||||
| 3 | An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | X | |||||
| 4 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
| 5 | An ability to design and conduct experiments, as well as to analyze and interpret data | X | |||||
| 6 | An ability to function on multidisciplinary teams | X | |||||
| 7 | An ability to communicate effectively | X | |||||
| 8 | A recognition of the need for, and an ability to engage in life-long learning | X | |||||
| 9 | An understanding of professional and ethical responsibility | X | |||||
| 10 | A knowledge of contemporary issues | X | |||||
| 11 | The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 9 | 15 | 135 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 5 | 1 | 5 | |||
| Midterm Exam | 1 | 12 | 12 | |||
| General Exam | 1 | 40 | 40 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 234 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(234/30) | 8 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| SIGNALS and SYSTEMS | - | Fall Semester | 3+2 | 4 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Zafer İŞCAN |
| Name of Lecturer(s) | Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Assistant(s) | |
| Aim | At the end of this course, students will be able to: 1. Analyse continuous time and discrete time signals and systems. 2. Understand the systems in general and perform time domain signal processing operations on both continuous time and discrete time signals for linear time invariant (LTI) systems. 3. Perform signal operation for LTI systems via convolution operation. 4. Understand Fourier Series and Transforms 5. Understand Laplace Transform and use it in system analysis 6. For discrete time signals, understand Z Transform and use it in system analysis The students will also learn how to use Matlab for problems related to systems and signals in general. |
| Course Content | This course contains; Course Intro and Introduction to Signals,Elementary Signals,Continuous Time Systems,Convolution,Fourier Series - Continuous Time,Fourier Transform : Continuous Time,Laplace Transform ,Application of Fourier Transformation on Signals and Systems,Application of LaplaceTransformation on Signals and Systems,Discrete Time Signals,Discrete Time Systems,Fourier Series and Transform : Discrete Time,Discrete Time Fourier Transform,Z-Transform. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Analyse continuous time and discrete time signals and systems. | 12, 17, 21, 9 | A, E, G |
| 2. Understand the systems in general and perform time domain signal processing operations on both continuous time and discrete time signals for linear time invariant (LTI) systems. | 12, 17, 21, 9 | A, E, G |
| 3. Perform signal operation for LTI systems via convolution operation. | 12, 17, 21, 9 | A, E, G |
| 4. Understand Fourier Series and Transforms and use them appropriately. | 12, 17, 21, 9 | A, E, G |
| 5. Understand Laplace Transform and use it in system analysis. | 12, 17, 21, 9 | A, E, G |
| 6. For discrete time signals, understand Z Transform and its use for systems analysis. | 9 | G |
| Teaching Methods: | 12: Problem Solving Method, 17: Experimental Technique, 21: Simulation Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Course Intro and Introduction to Signals | Lectures Slides 1 and 2, Textbook Chapters 1 & 2 |
| 2 | Elementary Signals | Lectures Slides 3, Textbook Chapter 1 and 2 |
| 3 | Continuous Time Systems | Lectures Slides 4, Textbook Chapter 3 |
| 4 | Convolution | Lectures Slides 5, Textbook Chapter 3 |
| 5 | Fourier Series - Continuous Time | Lectures Slides 6, Textbook Chapter 4 |
| 6 | Fourier Transform : Continuous Time | Lectures Slides 7, Textbook Chapter 4 |
| 7 | Laplace Transform | Lectures Slides 8, Textbook Chapter 9 |
| 8 | Application of Fourier Transformation on Signals and Systems | Lectures Slides 9, Textbook Chapter 4-6 |
| 9 | Application of LaplaceTransformation on Signals and Systems | Lectures Slides 10, Textbook Chapter 4-6 |
| 10 | Discrete Time Signals | Lectures Slides 11, Textbook Chapter 8 |
| 11 | Discrete Time Systems | Lectures Slides 11, Textbook Chapter 9 |
| 12 | Fourier Series and Transform : Discrete Time | Lectures Slides 12, Textbook Chapter 10 |
| 13 | Discrete Time Fourier Transform | Lectures Slides 13, Textbook Chapter 11 |
| 14 | Z-Transform | Lectures Slides 14, Textbook Chapter 12 |
| Resources |
| A. V. Oppenheim, A. S. Willsky, with S. H. Nawab, Signals and Systems, Prentice Hall, 2nd Edition, 1997. |
| Other Signals and Systems textbooks. MIT Signals and Systems website. https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/ |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | An ability to apply knowledge of mathematics, science, and engineering | X | |||||
| 2 | An ability to identify, formulate, and solve engineering problems | X | |||||
| 3 | An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | X | |||||
| 4 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
| 5 | An ability to design and conduct experiments, as well as to analyze and interpret data | X | |||||
| 6 | An ability to function on multidisciplinary teams | X | |||||
| 7 | An ability to communicate effectively | X | |||||
| 8 | A recognition of the need for, and an ability to engage in life-long learning | X | |||||
| 9 | An understanding of professional and ethical responsibility | X | |||||
| 10 | A knowledge of contemporary issues | X | |||||
| 11 | The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |