EE301 SIGNALS AND SYSTEMS I
| Course Code: | 5670301 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. ABDULLAH AYDIN ALATAN |
| Offered Semester: | Fall Semesters. |
Course Objectives
Students will be able to: 1) comprehend basic system properties and signals, 2) apply Fourier analysis to periodic and aperiodic signals, 3) apply transform techniques to signals and systems, 4) analyze LTI systems by transform techniques, and 5) analyze engineering problems by using properties of transform techniques.
Course Content
Memory, causality, stability, invertibility, linearity and time-invariance Linear time-invariant systems: impulse response, convolution. Functions of a complex variable, complex series and integrals. Transform met hods: Continuous time Fourier series and transform, discrete-time Fourier series and transform, Frequency response. Sampling theory. Laplace and z-transforms, system functions.
Course Learning Outcomes
Objective 1: Students will be able to comprehend basic systems properties and signals.
Related Learning Outcomes: Students will identify and operate on basic signals in continuous time (CT) and discrete time (DT); determine properties of a general system; use the convolution operation to find the output of an LTI system; find the impulse response of an LTI system specified by a linear, constant-coefficient difference or differential equation.
Objective 2: Students will be able to apply Fourier analysis to periodic and aperiodic signals.
Related Learning Outcomes: Students will compute the Fourier series representation of a periodic CT signal; determine the Fourier Transform (FT) of a CT signal; represent a periodic DT signal through Fourier series; find the Fourier Transform (FT) of a DT signal; use and relate the properties of DT/CT Fourier series and transforms.
Objective 3: Students will be able to apply transform techniques to signals and systems.
Related Learning Outcomes: Students will compute the Laplace transform of a CT signal; compute the Z transform of a DT signal; relate the Fourier and Laplace transforms; relate the DT Fourier and Z transforms.
Objective 4: Students will be able to analyze LTI systems by transform techniques.
Related Learning Outcomes: Students will make use of transfer (system) function and frequency response while analyzing LTI systems; state how the stability and causality of an LTI system is related to the poles of its transfer function.
Objective 5: Students will be able to analyze engineering problems by using properties of transform techniques.
Related Learning Outcomes: Students will comprehend the Fourier-domain relation between a CT signal and the DT signal obtained by sampling; formulate the Fourier-domain representation of modulation and demodulation operations.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||