校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

新興工程概論

Introduction to Recent Advances in Engineering

學期
111-2
學分
3 學分
當期課號
516115
永久課號
ENME20023
開課單位
機械工程學系
授課教師
黃衍佐
校區
光復
類別
選修
上課時間表
週一
2
09:00–09:50
新興工程概論
EE205
3 節連堂
3
10:10–11:00
4
11:10–12:00

* 根據陽明交大上課時間表所列

概述

"Introduction to Recent Advances in Engineering is not intended to teach students with deep understanding of each subject selected. For that, separate courses are to be taken. Instead, it is to provide exposure for students at Taiwan with the recent engineering application and technology in the United States. Students are encouraged to contemplate the feasibility, necessity, and values of these applications and technologies for both Taiwan and global markets. We may also introduce the Agile development cycle and “Scrum” method (based on empiricism). Furthermore, I would like Taiwan students to have more practice in on-stage presentation skills. In summary, this course is to introduce and share recent advances in various areas related to engineering and technology. More specifically, it is 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 creative thinking and future applications 4. to practice their presentation of their own concept/idea/design 5. to encourage students to explore further defense related applications This course is NOT to teach students mathematics, theories, embedded knowledge behind the topics

先修科目

1. English – reading PPT in English 2. Math – high school level 3. programming – some experience is a plus but not necessary

教學方式

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

評分方式

Participation, Homework, Quiz 35% Midterm Test or Project 25% Final project Implementation 20% Final Project PPT & Presentation 20% 1. 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) 2. 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) 3. Choose project topic of your choice, preferably on application of recent advances in engineering 4. 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 Scopes of Contents (Preliminary) Machine Learning (AI) Methods and its application in Engineering supervised learning (data preparation) unsupervised learning 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 Automation (FMS) Industrial Commercial Topics – defense application and others Project Development Agile Scrum Topics – defense application and others Blockchain New Products New Achievements Topics – defense application and others Edge computing, 3D printing, autopilot driving (Tesla), Human flying, Metaverse (VR,AR), Starlink satellites (XSpace), Drone (air, underwater), Genetic engineering New Products New Achievements Topics – defense application and others Others

週次計畫
週次主題
第 1 週1. syllabus & introduction of the course 2. overall review
第 2 週1. quick intro & video on new and traditional technology 2. introduce AI 3. students to install Python and run a machine learning example
第 3 週issue HW1
第 4 週Remote class 1. comparison of new technology and old technology, videos with video of human fly, AI & claim-to-be-AI (to judge the difference of AI or not) 2. basic understanding of overfit/underfit and machine learning 3. NSTC project of machine learning (AI) on engineering application
第 5 週1. introduction of IEOM conference, discussion of my observation 2. quick video examples for new technology that were asked to see on 3/6 3. TIMTOS 2023 Taipei - review of Taiwan Machinery industry 4. HW1 presentation (5 students)
第 6 週1. Automation, Robotics, vision-based application in robotics 2. video examples of various industrial and humanoid robotics, discussion 3. HW1 presentation (5 students)
第 7 週1. Automation - review of kinematics of robotics 2. exercises, discussion
第 8 週re-scheduled to 3/25 (Sat.) due to flexible work-day, lecture content uploaded. 1. Review of kinematics of robotics 2. exercises
第 9 週1. Forward kinematics, videos 2. Issue take home Midterm 3. HW2 presentation
第 10 週1. Invite Mr. Eric Kao (Academia Sinica) to give a speech on "Quantum Computing - introduction and status in Taiwan" 2. Due Midterm
第 11 週1. robotics system - 3D kinematics, inverse kinematics, dynamics, control 2. robotic videos 3. issue HW3
第 12 週1. Fossil energy & alternative energy 2. Taiwan power supply 3. videos, example, discussion 4. due HW3 5. issue Final Report (Taiwan Power Supply)
第 13 週(1) Industry 4.0 in various countries and focus, (2) example, discussion (3) Explain final project (4) issue HW4
第 14 週(1) Industry 4.0 in various countries and focus, (2) example, discussion (3) Explain final project (4) HW4 due
第 15 週Introduction project management, Waterfall, Agile, Scrum, video, example, discussion
第 16 週Final project presentation (report due 5/26 midnight in E3)
第 17 週Q&A and review after final
第 18 週
教科書

1. No Textbook 2. Public sources, Internet websites, videos, etc. 3. Introduction to Machine Learning with Python, Andreas C. Muller & Sarah Guido 4. Robot Modeling and Control by Spong, Hunchinson, Vidyasagar, 2nd edition, John Wiley, 2020 5. Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow by Aurélien Géron

Office Hours
地點
1. classroom 2. office (NYCU EE5-444)
時間
1. Before & after class 2. By appointment
聯絡方式
1. yearnhwang@nycu.edu.tw 2. yearnhwang@gmail.com