| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Signals and Systems | BLM303 | Compulsory | Bachelor's degree | 3 | Fall | 3 |
Name of Lecturer(s)
Prof. Dr. Adnan KAVAK
Associate Prof. Dr. Orhan AKBULUT
Learning Outcomes of the Course Unit
1) Analyze sinusoidal signals using their properties
2) Perform phasor calculations on complex exponential signals
3) Formulate the transform from sinusoidal signals to spectrum representation
4) Utilize basic continuous-time signals
5) Analyze linear time invariant systems
6) Describe the frequency response of linear time invariant systems
7) Evaluate the analysis of signals using the Fourier Transform
8) Define the transform between continuous time and discrete time signals
9) Apply Laplace Transform to analysis linear time invariant systems
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | High | No relation | No relation | No relation | No relation | Low | Low | Low | No relation | Low | No relation | No relation | |
| 2 | High | No relation | No relation | No relation | No relation | Low | Low | Low | No relation | Low | No relation | No relation | |
| 3 | High | No relation | No relation | No relation | No relation | Low | Low | Low | No relation | Low | No relation | No relation | |
| 4 | High | No relation | No relation | No relation | No relation | Low | Low | Low | No relation | Low | No relation | No relation | |
| 5 | High | No relation | No relation | No relation | No relation | Low | Low | Low | No relation | Low | No relation | No relation | |
| 6 | High | No relation | No relation | No relation | No relation | Low | Low | Low | No relation | Low | No relation | No relation | |
| 7 | High | No relation | No relation | No relation | No relation | Low | Low | No relation | No relation | Low | No relation | No relation | |
| 8 | High | No relation | No relation | No relation | No relation | Low | Low | Low | No relation | Low | No relation | No relation | |
| 9 | High | No relation | No relation | No relation | No relation | Low | Low | Low | No relation | Low | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Digital Data Communication
Course Contents
This course covers ;introduction, classification of signals, spectral analysis of periodic signals (power signals) (review of Fourier series), spectral analysis of non-periodic signals (energy signals) (Fourier transform), properties of the Fourier transform, convolution, correlation and spectral density, Fourier transforms of power signals, transforms of some simple energy signals, classification of systems, Linear time invariant systems, impulse response and frequency response, relationship between input and output spectral densities, introduction to sampling theorem and Laplace transform.
Weekly Schedule
1) Introduction to Signals and Systems2) Continuous and Discrete Time Signals and Their Properties
3) Continuous and Discrete Time Systems
4) Linear and Time Invariant Systems
5) Properties of Linear and Time Invariant Systems
6) Linear Constant Coefficient Differential Equations, Linear Constant Coefficient Difference Equations,
7) Fourier Series Representation of Periodic Signals: Continuous Time
8) Mid Term Exam
9) Fourier Series Representation of Periodic Signs: Discrete Time
10) Fourier Series and Linear Time Invariant Systems
11) Continuous Time Fourier Transform
12) Discrete Time Fourier Transform
13) Systems Defined by Linear Constant Coefficient Differential Equations and Difference Equations.
14) Z-Transform
15) Laplace Transform
16) Final Exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Simulation
3) Case Study
4) Problem Solving
5) Project Based Learning
Assessment Methods and Criteria
Contribution of Project to Course Grade |
20% |
|---|---|
Contribution of Final Examination to Course Grade |
80% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required