CENG384 SIGNALS AND SYSTEMS FOR COMPUTER ENGINEERS
| Course Code: | 5710384 |
| 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. EMRE AKBAŞ |
| Offered Semester: | Spring Semesters. |
Course Objectives
The goal of this course is to give students introduction to how to analyze signals and linear time invariant systems in the frequency and the spatial domain. With this course, the students will get background information for telecommunication networks, embedded systems, sound processing and recognition, neurocomputing, image processing, computer vision and pattern recognition.
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.
Prerequisites: MATH 219 and MATH 260.
Course Learning Outcomes
At the end of this course, students will be able to:
- Understand concepts of signals and systems and discriminate between the types of signals and systems.
- Explore the different types of operations that can be applied on signals, and discriminate between different combinations of systems.
- Identify the linear-time invariant systems, and derive and use convolution, i.e., time-domain processing of signals.
- Analyze signals and systems in the frequency domain via Fourier Series or Fourier Transform and compare frequency-domain processing to time-domain processing.
- Compare and contrast continuous time, discrete time and sampled signals
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 | ✔ | |||