詳細課綱請以此為主，網址：http://class-qry.acad.ncku.edu.tw/crm/course_map/course.php?dept=P7&cono=P75K900

本課程主要透過專案學習（PjBL）的方式作為學習媒介，藉由在執行專案時遇到 問題驅使學生自發性尋求協助並從中學習相關知識。本課程期望學生能從社會、國內外相關 案例或前人製作的專案中發現問題。將前述所定義的核心問題與使用者需求作為設計重點方向進行修正；在發展的階段，以物 聯 網 技術構思解決方法，並實作設計開發對應的智慧系統。

教學目標

1. - Understanding of an IoT system and its applications

2. - Introduction of Deep Learning (DL)

3. - Implementation of DL for an IoT project

課程大綱

week1：Class introduction

week2：microprocessor and Arduino

week3：Sensors

week4：IoT network protocol

week5：Deep Learning (I)

week6：Deep Learning (II)

week7：Deep Learning (III)

week8：Deep Learning (IV)

week9：Deep Learning (V)

week10：midterm exam

week11：anomalies detection (I)

week12：anomalies detection (II)

week13：multi-view learning (I)

week14：multi-view learning (II)

week15：multi-view learning (III)

week16：time-series forecasting (I)

week17：time-series forecasting (II)

week18：final exam