Computer Engineering | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | ELE202 | ||||
Course Name: | Signals and Systems | ||||
Semester: | Spring | ||||
Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Compulsory Courses | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator: | Prof. Dr. INDRIT MYDERRİZİ | ||||
Course Lecturer(s): | AHMET M. ELBİR | ||||
Course Assistants: |
Course Objectives: | The goal of this course is to provide the necessary mathematical knowledge to perform basic analyses of signals and systems |
Course Content: | Continuous and Discrete Time Signals and their Properties, Continuous and Discrete Time Systems and their Properties, Linear Time-Invariant Systems, Convolution in Continuous and Discrete Time Systems, Difference Equations, Fourier Analysis of Continuous and Discrete Time Signals, Fourier Series Expansion, Fourier Transform, Laplace Transform, z-Transform |
The students who have succeeded in this course;
1) 1) Acquires the necessary mathematical knowledge to analyze signals and systems 2) 2) Gains the ability to determine the fundamental properties of signals and systems. 3) 3) Obtains the knowledge to perform mathematical transformations on signals. 4) 4) Attains the ability to calculate the output of a linear system. 5) 5) Develops the skills to perform analysis of a system. |
Week | Subject | Related Preparation |
1) | Continuous and Discrete Time Signals | |
2) | Continuous and Discrete Time Signals Properties | |
3) | Continuous and Discrete Time Systems Properties | |
4) | Continuous and Discrete Time Systems Properties | |
5) | Linear Time-Invariant Systems, Convolution | |
6) | Fourier Transform | |
7) | Fourier Transform | |
8) | Midterm | |
9) | Laplace Transform | |
10) | Laplace Transform | |
11) | Discrete-time Fourier transform | |
12) | Discrete-time Fourier transform | |
13) | z-Transform | |
14) | z-Transform |
Course Notes / Textbooks: | A.V. Oppenheim, A.S. Willsky, “Signals and Systems”, Prentice Hall |
References: | R.A. Gabel, R.A. Roberts, “Signals and Linear Systems”, John Wiley & Sons. |
Course Learning Outcomes | 1 |
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3 |
4 |
5 |
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Program Outcomes | |||||||||||
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems | 2 | 2 | |||||||||
2) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | 2 | 2 | |||||||||
3) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | 2 | 2 | |||||||||
4) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions. | 2 | 2 | |||||||||
5) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques. | |||||||||||
6) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods. | |||||||||||
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||||||||
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |||||||||||
9) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively. | |||||||||||
10) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics. | 2 | 2 | |||||||||
11) Ability to work effectively within and multidisciplinary teams; individual study skills. |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems | 2 |
2) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | 2 |
3) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | 2 |
4) | Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions. | 2 |
5) | Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques. | |
6) | Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods. | |
7) | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |
9) | Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively. | |
10) | Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics. | 1 |
11) | Ability to work effectively within and multidisciplinary teams; individual study skills. |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 30 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
Course Hours | 13 | 3 | 39 | ||||
Study Hours Out of Class | 13 | 3 | 39 | ||||
Project | 1 | 20 | 20 | ||||
Midterms | 1 | 20 | 20 | ||||
Final | 1 | 20 | 20 | ||||
Total Workload | 138 |