詳細課綱請以此為主，網址：https://class-qry.acad.ncku.edu.tw/crm/course_map/course.php?dept=P7&cono=P75L000

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。並實作設計開發的一個可以解決真實世界問題的AI-based異常偵測系統。

教學目標

1. - Introduction to methods for one-class classification

2. - Introduction of Deep Learning (DL)

3. - Implementation of DL for an anomaly detection

課程大綱

week1：Class introduction

week2：Introduction to one-class classification

week3：applications for anomaly detection

week4：tools and dataset for anomaly detection research

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 for image data (I)

week12：anomalies detection or image data (II)

week13：anomalies detection or image data (III)

week14：anomalies detection or time-series data (I)

week15：anomalies detection or time-series data (II )

week16：anomalies detection or time-series data (III)

week17：explainability and speed

week18：final exam