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
111-1	309432	深度學習與物聯網應用	1	3.0	3	★	李明哲	光電四 光電三	27	1	光電三四所、與電資外生四所合開

教學大綱與進度：

教師姓名	李明哲
Email	aslan_lee@hotmail.com
最後更新時間	2022-06-08 16:57:15
課程大綱	This course will introduce the fundamentals of "Deep Learning" and "Internet of Things." Students interested in these subjects are welcome to take this course. Instead of going through detailed programming, this course focuses specifically on the application aspect. Therefore, students will be asked to study and report how state-of-the-art technology works nowadays. In addition, no particular prerequisites are required to take this preliminary course. Hopefully, this course will help initiate students' understanding of "Deep Learning" and "Internet of Things" and prepare them a more colorful career path in the future. The evaluation will be performed based on homework and reports. No examinations will be given.
課程進度 (1-16週)	1-2. Introduction to Deep Learning, 3-4. Supervised Learning, 5-6. Unsupervised Learning, 7-8. Internet of Things, 9-10. Perception Layer, 11-12. Network Layer, 13-14. Application Layer, 15-18. Deep Learning and Internet of Things
評量方式與標準	Homework: 60% Final report: 40%
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 TBA
課程諮詢管道	Course consultation will be provided through email or line.
延伸教學與資源
課程對應SDGs指標
課程是否導入AI
備註	本學期原則採實體授課方式；因應疫情警戒標準，本學期教學及授課方式請依照學校網頁所公布之訊息為準： (https://oaa.ntut.edu.tw/p/404-1008-98622.php?Lang=zh-tw) ●上課方式：遠距上課 ●評量方式： 線上報告