Course Code |
ENGG 2030 ENGG2030 |
科目名稱 |
Signals and
Systems 信號與系統 |
||||||||
教員 |
學 分 |
||||||||||
課程性質 |
生物醫學工程必修 |
同科其他選擇 |
|
||||||||
Workload |
l MIDTERM l FINAL EXAM l Assignments |
好重 |
1 |
||||||||
重 |
|
||||||||||
平均 |
|
||||||||||
輕 |
|
||||||||||
極輕 |
|
||||||||||
評價教學內容 |
#1 太多太深 |
||||||||||
評價教員教學 |
#1 幾好人 |
||||||||||
CUSIS科目資料 |
Description: This course
introduces the concepts of signals and systems and teaches the mathematical
and computational tools for the analysis of engineering signals and systems.
The course content covers Fourier representations of continuous-time and
discrete-time signals, frequency spectrum, linear and time-invariant systems,
impulse response, convolution sum and convolution integral, frequency
response, Laplace transform and z-transform representations of signals and
systems. Sampling theorem and the relation between continuous-time and
discrete-time signals will be discussed. This course includes mandatory
laboratory modules. Learning
Outcome: Upon successful
completion of the course, students will be able to: 1. explain the
meanings of signals and systems from engineering perspectives and with
connection to real-world applications; 2. demonstrate
how signals and systems can be represented by mathematical expressions; 3. explain the
concepts of frequency and frequency spectrum; 4. describe and
explain the types and properties of systems, with an emphasis on linear
time-invariant systems; 5. use Laplace
transform or z-transform to represent a linear system; 6. analyze and
explain the behavior of a linear system; 7. explain the
sampling theorem and its physical implications. |
||||||||||
其他資料 |
2019Sem1:學位 71|註冊 27|剩餘 44 2019Sem2:學位 70|註冊 54|剩餘 16 |
||||||||||
同學推薦 |
高度推薦 |
|
推薦 |
|
有保留 |
|
極有保留 |
1 |
123
【更新進度】23-24 s1/s2/ss 科目列表已上傳。
【更新進度】23-24 s1/s2/ss 的科目評價已更新。[2/7/2024]
【更新進度】23-24 s1/s2/ss 的科目評價已更新。[2/7/2024]
ENGG 2030 信號與系統 Signals and Systems
訂閱:
發佈留言 (Atom)
沒有留言:
發佈留言