Engineering 320 - Signals and Systems

The concepts of linear system theory (e.g., signals and systems) are fundamental to all areas of engineering, including the transmission of radio signals, signal processing techniques (e.g., medical imaging, speech recognition, etc.) and the design of feedback systems (e.g., in automobiles, power plants, etc.). This course introduces the basic concepts of linear system theory, including convolution, continuous and discrete time Fourier analysis, Laplace and Z transforms, sampling, stability, feedback, control and modulation. Examples are utilized from electrical, mechanical, biomedical, environmental and chemical engineering. The course includes several short laboratory experiences to help understand the relevant concepts. Prerequisites: EGR 220 and PHY 210. Enrollment limited to 20.

Limited to EGN majors, EGR majors Not open to first-years, sophomores