Course Description: An introductory course covering the principles of signals and systems. The course combines lectures, Matlab simulation exercises, and design projects to expose students to the theories and concepts of both continuous-time and discrete-time forms of signals and systems, as well as applications of the theories and concepts in communication systems, control systems, and signal processing.

Prerequisite: PHY 182/184, ECE 305, and MTH 245

Objectives: Upon finishing the course, students are expected to accomplish the following objectives:

• To provide the students with a basic understanding of continuous0time and discrete-time signals and systems, and the various methods and approaches used to analyze signals and systems
• To prepare students for upper-level courses in communication systems, control systems, and digital signal processing
• To enable the students to have a sufficient experience in utilizing MatLab to simulate and solve problems relating to signals and systems. .

Topics:

• Signal classification and systems characterization.
• Time-domain representation of linear time-invariant (LTI) systems.
• Fourier representation of signals, and applications of Fourier representation to the studies of signals and LTI systems.
• Laplace transform.
• Z-transform.

Labs: There will be approximately 5 lab sessions during the semester.