CNG384 SIGNALS AND SYSTEMS FOR COMPUTER ENGINEERS
| Course Code: | 3550384 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assoc.Prof.Dr. CEM DİREKOĞLU |
| Offered Semester: | Spring Semesters. |
Course Objectives
Students will be able to:
1. Comprehend basic signal and systems properties.
2. Apply Fourier analysis to periodic and aperiodic signals.
3. Apply transform techniques to signals and systems.
4. Analyze LTI systems by transform techniques.
5. Analyze engineering problems by using properties of transform techniques.
Course Content
Linear time invariant systems; Frequency domain; Periodic and finite signals; Frequency response; Fourier series and transforms; Filtering; Finite impulse response filters; Sampling and reconstruction.
Course Learning Outcomes
Having successfully completed this course, the student will be able to:
1. Identify basic discrete and continuous time signals, and perform addition, multiplication, time-reversal, scaling and time shifting on signals.
2. Inspect a system and determine whether it is stable, memoryless, causal, invertible, time invariant and linear or not.
3. Identity the Linear Time-Invariant (LTI) systems and their properties. Evaluate convolution sum and integral to obtain the output of a system given the input and the impulse response. Perform simulation in Matlab.
4. Understand the Fourier series representation of continuous-time and discrete-time periodic signals. Identify the properties of Fourier series such as time-shift, differentiation, multiplication etc.
5. Understand the continuous-time Fourier transform (CTFT) and discrete- time Fourier transform (DTFT) of signals. Develop an understanding of properties of these transforms such as convolution, multiplication, Parseval’s relation etc.
6. Formulate impulse and frequency responses of a system described by linear constant coefficient differential and difference equations using the properties and pairs of CTFT and DTFT.
7. Identify the conditions required for the sampling of a continuous-time signal. Understand the reconstruction of a continuous-time signal form its samples.