新興工程概論
Introduction to Recent Advances in Engineering
| 節 | 週一 |
|---|---|
A 18:30–19:20 | 新興工程概論 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
This course is to introduce and share recent advances in various areas related to engineering and technology 1. to introduce recent developments that are related to mechanical engineering 2. to introduce technological advances that fall beyond conventional mechanical engineering 3. to inspire students for the future applications with creative thinking 4. to encourage students to explore further defense related applications 5. to have students practice their presentation of their own concept/idea/design
1. English – reading PPT in English 2. Math – high school level 3. programming – some experience is a plus but not necessary
無備註
教學要點概述: Machine Learning (AI) Methods and its application in Engineering supervised learning (data preparation) unsupervised learning Topics – defense application and others Automation Industrial Commercial Topics – defense application and others Robotics Industrial Humanoid Topics – defense application and others Industrial 4.0 Platform Data Communication Application Topics – defense application and others Project Development Agile Scrum Topics – defense application and others New Achievements New Products New Achievements Topics – defense application and others Others 教學方法及教學相關配合事項(如助教、網站或圖書及資料庫等) Note 1: In-class discussion and interaction are strongly encouraged (attendance). Note 2: Homework/project/quiz must be done and written by each student himself or herself. Duplicating, copying homework/project from other student(s) is not allowed. Overhead Projector and Internet Wi-Fi Connection will be needed
Participation, Homework, Quiz 25% Midterm Test or Project 25% Final project Implementation 25% Final Project PPT & Presentation 25% 1. Choose project topic of your choice, preferably on application of recent advances in engineering 2. Present your work in PPT and in front of the class Presentation and communication are as important as, if not more than, the content of your work Service to this class (as teamwork contribution) will be rewarded with extra points (學生之班級服務貢獻將可作為課業成績之加分考量) Teacher has the unlimited right to adjust student’s final score at teacher’s full discretion (任課教師有評定成績之最後決定權, 包含 加分/減分)
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction AI/ML, video, example, discussion |
| 第 2 週 | Introduction AI/ML, video, example, discussion issue HW1 |
| 第 3 週 | 國定假日 |
| 第 4 週 | Students to install Python and run a machine learning example; video of AI & claim-to-be-AI (to judge the difference of AI or not); MOST project of machine learning (AI) on engineering application; |
| 第 5 週 | Introduction Robotics, vision-based application in robotics, video examples of various industrial and humanoid robotics, discussion |
| 第 6 週 | Introduction Automation, video, Robotics kinematics basics example, discussion issue HW3 |
| 第 7 週 | Introduction Automation, video, Robotics kinematics basics example, discussion |
| 第 8 週 | 國定假日 (作為補課 1st class) take-home midterm test (期中考, 帶回家考試) |
| 第 9 週 | Introduction Automation, video, Robotics control, PID, Robotic vision based control example, discussion |
| 第 10 週 | Introduction Automation, video, Robotics kinematics basics Robotics control, vision based control issue HW4 (vision technology) |
| 第 11 週 | Introduction Industry 4.0 video, example, discussion |
| 第 12 週 | continue Industry 4.0 videos, example, discussion |
| 第 13 週 | WebEx remote Industry 4.0 in various countries and focus, example, discussion Explain final project issue scheduling exercise |
| 第 14 週 | WebEx remote Industry 4.0 (W.O. scheduling exercise) example, discussion Explain final project |
| 第 15 週 | Final project presentation |
| 第 16 週 | |
| 第 17 週 | |
| 第 18 週 |
Introduction to Machine Learning with Python, Andreas C. Muller & Sarah Guido 2. Robot Modeling and Control by Spong, Hunchinson, Vidyasagar, 2nd edition, John Wiley, 2020 3. PYTHON 程式設計與數據分析/白文章 編著 4. Public sources, Internet websites, videos, etc.
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