查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-1 352214 訊號與系統 1 3.0 3 ★ 崔紘嘉攜四子三 40 0 　

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	352214	訊號與系統	1	3.0	3	★	崔紘嘉	攜四子三	40	0

教學大綱與進度：

教師姓名崔紘嘉　教師諮商時間(Office Hours)

Email franktsuei@ntut.edu.tw

最後更新時間 2025-05-23 15:58:54

課程大綱本課程之教學目標在使學生瞭解訊號與系統之基本概念及分析方法，以作為通訊、控制、電子電路、濾波器設計及數位信號處理等課程修習之基礎。課程內容包含：(1)標準訊號及訊號表示法 (2)連續系統的數學分析 (3)離散系統的數學分析 (4)拉氏轉換分析 (5)Z-轉換分析 (6)傅立葉分析 (7)工程應用。 This course contains the properties of signals, systems, LTI systems, and basis linear transforms. This is a basic course in the field of communication and control. The course introduces the properties of signals and systems, and is a fundamental course for those who are interested in communications, signal processing, control systems, and electronic circuits. The student will learn about the basic concepts of continuous-time and discrete-time signal processing. The covered topics are: 1. Signals and systems 2. Linear time-invariant systems 3. Fourier series representation of periodic signals 4. The continuous-time Fourier transform 5. The discrete-time Fourier transform 6. Sampling 7. Time and frequency characterization of signals and systems 8. The Z-transform (optional) 9. The Laplace-transform (optional)

課程進度 Week 1~3 Continuous-time and discrete-time signals Week 4~7 Linear time-invariant systems Week 8-12 Fourier analysis for continuous-time signals(including midterm exam) Week 13-15 Unmanned vehicle communication and cooperation technology Week 16-17 The Z-transform Week 18 Final Exam The schedule may be adjusted if necessary.

評量方式與標準 Team work 40%, Final Exam 30%, Homework 30%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Textbook: A. V. Oppenheim, A. S. Willsky, and S. Hamid, Signals and Systems, 2nd Edition, Prentice Hall. Reference: A. K. Bolstad and J. A. Dickerson, Open Signals and Systems Laboratory Exercises, Iowa State University Digital Press. (Can be obtained from https://open.umn.edu/opentextbooks/textbooks/open-signals-and-systems-laboratory-exercises)

課程諮詢管道授課內容講義或注意事項均公布於北科i學園PLUS。若上課有疑問可透過E-mail 或班群組討論相關事項。

課程對應SDGs指標 SDG17：夥伴關係（Partnerships for the Goals）

課程是否導入AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

備註
相關之17、18週期末實測規劃己於Facebook Clubs同步發佈

教師姓名	崔紘嘉　教師諮商時間(Office Hours)
Email	franktsuei@ntut.edu.tw
最後更新時間	2025-05-23 15:58:54
課程大綱	本課程之教學目標在使學生瞭解訊號與系統之基本概念及分析方法，以作為通訊、控制、電子電路、濾波器設計及數位信號處理等課程修習之基礎。課程內容包含：(1)標準訊號及訊號表示法 (2)連續系統的數學分析 (3)離散系統的數學分析 (4)拉氏轉換分析 (5)Z-轉換分析 (6)傅立葉分析 (7)工程應用。 This course contains the properties of signals, systems, LTI systems, and basis linear transforms. This is a basic course in the field of communication and control. The course introduces the properties of signals and systems, and is a fundamental course for those who are interested in communications, signal processing, control systems, and electronic circuits. The student will learn about the basic concepts of continuous-time and discrete-time signal processing. The covered topics are: 1. Signals and systems 2. Linear time-invariant systems 3. Fourier series representation of periodic signals 4. The continuous-time Fourier transform 5. The discrete-time Fourier transform 6. Sampling 7. Time and frequency characterization of signals and systems 8. The Z-transform (optional) 9. The Laplace-transform (optional)
課程進度	Week 1~3 Continuous-time and discrete-time signals Week 4~7 Linear time-invariant systems Week 8-12 Fourier analysis for continuous-time signals(including midterm exam) Week 13-15 Unmanned vehicle communication and cooperation technology Week 16-17 The Z-transform Week 18 Final Exam The schedule may be adjusted if necessary.
評量方式與標準	Team work 40%, Final Exam 30%, Homework 30%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Textbook: A. V. Oppenheim, A. S. Willsky, and S. Hamid, Signals and Systems, 2nd Edition, Prentice Hall. Reference: A. K. Bolstad and J. A. Dickerson, Open Signals and Systems Laboratory Exercises, Iowa State University Digital Press. (Can be obtained from https://open.umn.edu/opentextbooks/textbooks/open-signals-and-systems-laboratory-exercises)
課程諮詢管道	授課內容講義或注意事項均公布於北科i學園PLUS。若上課有疑問可透過E-mail 或班群組討論相關事項。
課程對應SDGs指標	SDG17：夥伴關係（Partnerships for the Goals）
課程是否導入AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
備註	相關之17、18週期末實測規劃己於Facebook Clubs同步發佈