5697 - 智慧物聯網與感測元件

Intelligent Internet of Things and Sensing Components

教育目標 Course Target

智慧物聯網是結合了物聯網的分散式感測,以及人工智慧的自我調適優化的新一代物聯網應用。在本課程中,我們將介紹與智慧物聯網相關的軟硬體控制平台、感測器、通訊網路、通訊協定與雲端資訊平台技術。此外,我們也將介紹運用於智慧物聯網系統中的 AI 演算法與數據分析技術、AI 晶片及目前市場上常見的智慧物聯網裝置。最後,我們也會介紹智慧物聯網目前常見的各領域應用。在課程的設計上,除了對智慧物聯網技術原理的解說以外,本課程也準備了相當多實作層面的素材,讓學生可以透過實驗與實際動手操作,對智慧物聯網的運作有更深入的掌握。

Smart Internet of Things is a new generation of Internet of Things that combines the Internet of Things's dispersed sensing and the self-adjustment of artificial intelligence and optimized. In this course, we will introduce the software and hardware control platform, sensor, communication network, communication protocol and cloud information platform technologies related to Smart Things Network. In addition, we will also introduce AI algorithms and data analysis technologies used in smart network systems, AI chips and smart network devices that are currently commonly seen on the market. Finally, we will also introduce various applications currently seen in Smart Things Network. In the design of the course, in addition to the interpretation of the technical principles of the Smart Internet, this course also prepares a lot of material on the working level, so that students can have a deeper understanding of the Smart Internet's operations through practical experiments and actual hands-on operations.

參考書目 Reference Books

自編教材

Self-edited textbooks

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
課堂參與
Class Participation
10
期中考
Midterm exam
20
期末考
Final exam
20
作業
Action
30
期末專題
Final topics
20

授課大綱 Course Plan

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課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 5697
  • 學分 Credit: 0-3
  • 上課時間 Course Time:
    Monday/2,3,4[ST338]
  • 授課教師 Teacher:
    焦信達
  • 修課班級 Class:
    資工系4,碩1,2
  • 選課備註 Memo:
    大四可選
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 33 人

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