This course consists of three aspects: "microcontroller", "drive circuit" and "motor mechanism". It introduces the knowledge related to electromechanical control from the shallower to the deeper, and supplements it with practical exercises. First, review the principles of motor mechanics and explain various Drive control method, and finally apply the microcontroller to actually write the control program to drive and control the motor machinery.

Apart from providing students with a deeper understanding of the theoretical knowledge of computer vision, machine learning and artificial intelligence - depth learning, and analyzing how the principles of depth learning combine with the development of artificial neural networks (ANNs) and computer vision, the functional aspects of this course will be explained by teacher’s more than 20 years of experience in industrial cooperation (face detection, recognition and expression analysis, intelligent video surveillance as a service, automated optical inspection (AOI), intelligent manufacturing, visual-guided robot arm control, and automatic guided vehicle (AGV)). The course will teach the basic computer vision principles and techniques for the relationship between 2D images and 3D objects with augmented reality (AR), including the calibration method of the camera and the reconstruction principle of 3D objects. Then I will teach the basic but practical techniques of computer vision, including the design of real-time detection, tracking and recognition systems. We will bring machine learning connections to the field of deep learning. Based on deep learning technology, I will teach you how to develop better real-time detection, tracking and recognition techniques to solve practical problems in the fields of industry, clinical imaging and AI sports. This course aims to develop students' ability to design and integrate skills in computer vision, machine learning and depth learning. Through practical practice, students' ability to think, program design and solve existing problems can be nurtured. Students' ability and spirit of team work can be nurtured through group work. They can also apply the theoretical foundation to industry, clinical imaging and precision sports analytics.

提供對復元成長營課程有興趣者一套明確且詳盡的課程帶領引導指引，使其對於復元成長營之課程規劃、核心價值和特殊情境的處理能有更深入的理解和應用。課程參與者可搭配帶領者手冊、帶領者訓練課程講義、復元手冊（精障者使用手冊）及《邁步復元路》上下冊，以獲得最完整的學習體驗。以下為課程大綱： 第一堂：復元概念與復元導向服務 第二堂：復元導向服務實務操作I 第三堂：復元導向服務實務操作II 第四堂：復元成長營帶領要點I 第五堂：復元成長營帶領要點II 欲參與本課程： 1. 請先在育才網中註冊帳號，並在「科系」的欄位中填入您的單位名稱 2. 填寫以下表單，課程管理者審核通過後將會寄送選課密碼至您的信箱 https://docs.google.com/forms/d/e/1FAIpQLSdXW5NqqlDUxowyLGTKPWKlMT7PEFjNjuxNxV7Kq57DneVZ3g/viewform

•  活動名稱：英文沒有那麼難系列線上工作坊-口說卡卡：需要有配方

• 活動目的：本活動辦理希望藉由一些小方法提升英語口說流暢度，透過場景模擬讓本校行政人員可以了解如何應用，從原本害怕說錯到願意開口，增加自信而願意主動開口與外籍人士交流。

• 活動時間：111.02.24(四) 10:00-12:00 (09:45開放登入會議室)

• 線上講座平台： Webex 會議室(上限100人)

• 活動講師：國立雲林科技大學應用外語系黃惠玲教授

• 主辦單位：國際事務處 全球競合力培養中心

• 參加對象：本校教師及行政人員

• 預期參加人數：50 人

• 活動方式：線上互動式工作坊

• 活動流程：

09:45開放登入Webex 會議室

10:00-11:40 工作坊時間

11:40-12:00 提問時間