A. Course Description
:
<br>"Signals and Systems" is a fundamental course toward more advance study in many fields such as &#8232;signal 
<br>processing, communications, and control. In this course, we will focus on the representation and analysis 
<br>of deterministic signals and linear time-invariant systems. Practical &#8232;examples in each field will be 
<br>presented.
<br>
<br>B. Textbook:
<br>&#8232;&#8232;Alan V. Oppenheim and Alan S. Willsky, with S. Hamid Nawab, Signals and Systems, &#8232;2nd Ed., Pearson New 
<br>International Ed., Eurasia Book Co. (歐亞), 2014 &#8232;&#8232;
<br>
<br>C. Teaching method:
<br>&#8232;&#8232;PowerPoint lecture.
<br>
<br>D. Tentative syllabus:
<br>1. Introduction 
<br>Fundamentals of Signals and Systems
<br>&#8232;Linear Time-Invariant Systems
<br>&#8232;2. Fourier Analysis 
<br>Fourier Series Representation of Periodic Signals
<br>&#8232;The Continuous-time Fourier Transform
<br>&#8232;The Discrete-time Fourier Transform 
<br>3. Characterization of LTI Systems
<br>&#8232;Time and Frequency Characterization of LTI Systems 
<br>4. Sampling 
<br>Sampling and Discrete-Time Processing 
<br>5. Transform analysis
<br>&#8232;Laplace Transform
<br>&#8232;z-Transform &#8232;
<br>
<br>E. Tentative grading:
<br>&#8232;1. Midterm I: 25% (4/1, Wed.) 
<br>2 Midterm II: 30% (5/13, Wed.) 
<br>&#8232;3. Final: 30% (6/24, Wed.) &#8232;
<br>4. Homework: 15%
<br>
<br>F. Prerequisite
<br>Calculus and linear algebra.
<br>
<br>G. Suggested prerequisite
<br>Differential equation, and complex analysis.