Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	354070	Digital Signal Processing	1	3.0	3	★	Kuo,Tien-Ying	4EE3A 4EE3B	22	1	電機三甲乙合開,預選50人

Course Plan：

Instructor	Kuo,Tien-Ying　Office Hours
Email	tykuo@ntut.edu.tw
Last Updated	2025-12-10 20:10:11
Course Objective	本課程之教學目標在使學生瞭解數位訊號處理的理論基礎及其應用技巧。課程內容包含：(1)離散傅立葉轉換及快速傅立葉轉換 (2)Z-轉換在信號處理上之應用 (3)相關函數，迴旋積分及其應用 (4)FIR數位濾波器設計 (5)IIR數位濾波器設計 (6)適應性訊號處理介紹 (7)工程應用及實例研討。
Course Schedule	week 1 Introduction and Background – Sinusoids, Complex Signals. week 2 Spectrum Representation 　 week 3 Spectrum Representation 　 week 4 Sampling and Aliasing 　 week 5 Sampling and Aliasing 　 week 6 FIR Filtersweek 7 FIR Filters week 8 Miterm Exam 1 　 week 9 Frequency Response of FIR Filters.　 week 10 Frequency Response of FIR Filters. 　 week 11 Z-Transforms 　 week 12 Z-Transforms 　 week 13 Miterm Exam 2 　 week 14 IIR Filters. 　 week 15 IIR Filters. week 16 IIR Filters.DTFT, DFT, FFT. week 17 DTFT, DFT, FFT. 　 week 18 Final Exam
Evaluation and grading policy	Midterm1 & Midterm2: 30%+25% or 25%+30% Final: 35%, Quiz/Homework: 10%, Attendance: Conditional Bonus Exams: Closed book. Calculator, Dictionary and 1/4 page of A4 cheat sheet may be allowed.
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Textbook: DSP First, 2nd edition James H. McClellan, Ronald W. Schafer, Mark A. Yoder, Pearson 2017, ISBN 1292113863 (開發) Companion website: http://dspfirst.gatech.edu/ References: (1)Oppenheim & Schaffer, Digital Signal Processing, Prentice-Hall Policy: (1) ABSOLUTELY No cheating in exam! (2) No late Homework & No Plagiarism! (3) No cellular ringing. (4) Course Material, Notes and Exam will be given in English.
The access to curricular consultation	1. Ask in Line group (will be created after lectures start) 2. E-mail to me or TA to ask questions or make appointments. 3. Come to ask me or TA (綜科212) during office hours.
Expanding teaching and resources
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
Note	1. 有加退選簽核或課程問題請email給我 tykuo@ntut.edu.tw，信件標題 [課程名稱]_班級_名字。 2. 課程資料將由北科i學園plus或line群公布。 3. 如果(像是之前疫情，或如教室翻新本學期17,18週)無法實體上課，用Microsoft Teams於原定上課時間遠距上課，細節再另行Line公布，會彈性調整評分項目與配分比例。