•  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

課程大綱:

1. 如何以簡單的軟硬體設備快速建構行動講桌。
   
2. 快速製作影音數位教材－EverCam 在教學上的應用
   
3. 影音數位教材進階編輯技巧
   
4. EverCam Point後製剪輯實作
   
5. Q&A
   

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.