Signals and Systems
The objective of this course is to provide students with an understanding of the relationships between mathematical tools and properties of real signals and systems. Continuous and discrete time signals and systems are treated in a unified manner through the concept of sampling. The course covers the basic concepts and tools needed to perform time and frequency domain transform analyses of signals and linear time-invariant systems, including: impulse and step response and convolution; Fourier transforms and filtering; Laplace transforms, feedback and stability; and a brief introduction to z-transforms in the context of digital filtering.
Develop and conduct appropriate experimentation and/or simulation,
analyze and interpret data, assess and evaluate findings, and use
statistical analyses and objective engineering judgment to draw
conclusions.Acquire and apply new knowledge; and practice self, lifelong and
other learning strategies.Design, model and analyze an electrical, electronic, microwave and
optical system or component for a specific ICT application and
identify the tools required to optimize this design.