本課程以概念講析、理論說明與動手操作的方式，帶領學生踏入影像處理的世界，以具備人影像辨識與偵測為目標。學生不需具備艱深的數學與演算法等專業知識，只要根據本課程的進度循序漸進的學習，就可以了解影像處理與深度學習的基本概念，且能具備學習新科技與時俱進的能力。同時，結合專長所學，利用本課程的AI影像辨識神經網路，辨識自身專業領域相關的圖片，冀望對於未來工作上有所挹注。
This course takes online-merge-offline methodology introducing applications to develop students' concepts of Image processing, with hands on practices. After activating students' motivations on Image processing, classical algorithms will be introduced. Students will study and design the relevant applications with Image processing theory. In addition, new image recognition technology, such as CNN and its derivative image detection technology YOLO and so on, will be introduced .
先修科目Prerequisites
具程式概念與經驗尤佳
If you have programming concepts and experience, it will be easier to understand the course content
教學方式Teaching Methods
同步教學(使用虛擬教室如：Moodle同步教室、Google Meet、Microsoft Classroom等)
Synchronous Online Learning
講課
Lecturing
學生實作
Student hands-on practice
小組討論、腦力激盪(如案例討論、電影欣賞等)
Group discussion, Brain storming, e.g., Case study, Event discussion, Movie review
評量方式Assessment
實作測驗
Practical exam
期中筆試
Midterm exam
小組作業
Group homework
期末報告
Final report
出席狀況
Class attendance
課堂參與與表現
Class involvement
各評量方式乘上其權重加總後即學期分數