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

115-1 366036 振動與噪音控制 1 3.0 3 ★ 馬權威機電所
機械自動化外生專班 1 0 機電、外生專班合開，限20人，英文授課

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
115-1	366036	振動與噪音控制	1	3.0	3	★	馬權威	機電所機械自動化外生專班	1	0	機電、外生專班合開，限20人，英文授課

教學大綱與進度：

教師姓名馬權威　教師諮商時間(Office Hours)

Email kwma@ntut.edu.tw

最後更新時間 2026-06-03 21:23:10

課程大綱課程內容涵蓋機械振動與噪音、聲學基礎、聲波傳播、聲音之反射與折射、聲學量測、振動抑制與隔離技術、噪音降低與吸音材料、消音器與噪音控制，以及相關法規與環境議題。 Topics include: Mechanical vibration and noise, Fundamentals of acoustics, Sound wave propagation, Reflection and refraction of sound, Acoustic measurement, The use of vibration isolators and absorbers, Noise reduction and sound-absorbing materials, Silencers and noise control, Noise regulations, and environmental considerations.

課程進度 Week Topic 1 Course introduction & vibration and noise control concepts 2 Vibration and noise fundamentals (I) 3 Vibration and noise fundamentals (II) 4 Vibration and noise transmission 5 Vibration and noise assessments 6 Noise and environmental sustainability 7 Noise prediction (I) 8 Mid-term exam 9 Noise prediction (II) 10 Mechanical vibration (I) 11 Mechanical vibration (II) 12 Instrumentation and standards 13 Signal processing & data science 14 Vibration and noise control methods (I) 15 Vibration and noise control methods (I) 16 Final exam 17 Flexible Learning (see Note) 18 Flexible Learning (see Note)

評量方式與標準 Subject Mark = Attendance 20% + Mid-term exam 30% + Final exam 35% + Student group practice and discussion 15% (see Note)

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
Mak, C. M., Ma, K. W., and Wong, H. M., “Prediction and control of noise and vibration from ventilation systems.” 1st ed, ISBN 9781032061986. (Taylor & Francis, Oxfordshire, United Kingdom, 2023). Use of self-made materials.

課程諮詢管道 Email: kwma@ntut.edu.tw; Tel: 02-27712171 #2074

延伸教學與資源 ● 參與式創新教學 (Participatory & Innovative Teaching)
強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。
Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification.

課程對應SDGs指標 SDG11：永續城市與社區（Sustainable Cities and Communities）

課程是否導入AI ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

備註 Flexible Learning: 1. Category: Student group practice and discussion 2. Content: Week 17: Each student group conducts practice and discussion on a noise prediction problem and completes the analysis according to the given conditions. Week 18: Each group presents the results of the Week 17 practice, followed by class Q&A and discussion. 3. Hours: Total: 6 hours. 4. Learning outcomes: Students apply the learned methods in noise prediction to case analysis, result organization, and oral presentation. 5. Subject mark: Weeks 17–18 class report and performance: 15%

教師姓名	馬權威　教師諮商時間(Office Hours)
Email	kwma@ntut.edu.tw
最後更新時間	2026-06-03 21:23:10
課程大綱	課程內容涵蓋機械振動與噪音、聲學基礎、聲波傳播、聲音之反射與折射、聲學量測、振動抑制與隔離技術、噪音降低與吸音材料、消音器與噪音控制，以及相關法規與環境議題。 Topics include: Mechanical vibration and noise, Fundamentals of acoustics, Sound wave propagation, Reflection and refraction of sound, Acoustic measurement, The use of vibration isolators and absorbers, Noise reduction and sound-absorbing materials, Silencers and noise control, Noise regulations, and environmental considerations.
課程進度	Week Topic 1 Course introduction & vibration and noise control concepts 2 Vibration and noise fundamentals (I) 3 Vibration and noise fundamentals (II) 4 Vibration and noise transmission 5 Vibration and noise assessments 6 Noise and environmental sustainability 7 Noise prediction (I) 8 Mid-term exam 9 Noise prediction (II) 10 Mechanical vibration (I) 11 Mechanical vibration (II) 12 Instrumentation and standards 13 Signal processing & data science 14 Vibration and noise control methods (I) 15 Vibration and noise control methods (I) 16 Final exam 17 Flexible Learning (see Note) 18 Flexible Learning (see Note)
評量方式與標準	Subject Mark = Attendance 20% + Mid-term exam 30% + Final exam 35% + Student group practice and discussion 15% (see Note)
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 Mak, C. M., Ma, K. W., and Wong, H. M., “Prediction and control of noise and vibration from ventilation systems.” 1st ed, ISBN 9781032061986. (Taylor & Francis, Oxfordshire, United Kingdom, 2023). Use of self-made materials.
課程諮詢管道	Email: kwma@ntut.edu.tw; Tel: 02-27712171 #2074
延伸教學與資源	● 參與式創新教學 (Participatory & Innovative Teaching) 強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。 Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification.
課程對應SDGs指標	SDG11：永續城市與社區（Sustainable Cities and Communities）
課程是否導入AI	● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
備註	Flexible Learning: 1. Category: Student group practice and discussion 2. Content: Week 17: Each student group conducts practice and discussion on a noise prediction problem and completes the analysis according to the given conditions. Week 18: Each group presents the results of the Week 17 practice, followed by class Q&A and discussion. 3. Hours: Total: 6 hours. 4. Learning outcomes: Students apply the learned methods in noise prediction to case analysis, result organization, and oral presentation. 5. Subject mark: Weeks 17–18 class report and performance: 15%