基本素養 Basic Literacy

注重人性的尊嚴、價值與培養自信心
The aim is to emphasize dignity and values of humanity, and cultivate self-confidence.
具備法治觀念與培養尊重及包容的工作態度與倫理
The aim is to learn rules of law education and develop working manner and ethics with honor and tolerance.
熱愛生命,關懷弱勢
The aim is to learn to adore life and to show care for the vulnerable.
培養外語能力並積極參與國際學術活動
The aim is to acquire knowledge and develop capabilities in learning foreign languages and aggressively joining international academic activities.

核心能力 Competence

具備製造資訊與系統領域相關知識之能力。
The aim is to acquire knowledge and develop capabilities in manufacturing information and systems.
具備E化製造領域相關知識之能力
The aim is to acquire knowledge and developing capabilities in e-Manufacturing infrastructure.
資訊技術導入工業自動化相關領與能力
The aim is to apply Information and System technology into industry for improving the efficiency and performance of manufacturing technology.
具備獨立思考、分析判斷與解決製造資訊與系統領域問題之能力
The aim is to acquire knowledge and develop capabilities of independently thinking, analyzing, and solving problems in manufacturing information and systems.
具備研究結果分析與判斷之能力
The aim is to acquire knowledge to analize research results.
具備跨領域有效溝通表達的專業語文能力
The aim is to acquire knowledge of efficient communications for crossing research area through professional language expression.
具備研讀及撰寫專業論文之能力
The aim is to acquire knowledge of reading and writing professional papers.
具備組織與領導團隊及從事創新設計之能力
The aim is to acquire knowledge of leadership for team working and innovative design.
具備凝聚團隊精神、創新製造資訊與系統領域實務所需之技術及系統整合溝通之能力
The aim is to acquire knowledge and develop capabilities of solidifying team-working spirit, and acquire knowledge of practical techniques and communication for system integration in the innovative manufacturing information and systems.

課程概述 Course Description

機械智慧化可以提升機械之效能。本課程除了介紹多種業界常用的專家系統或人工智慧的基礎原理外,亦對實際應用的案例有深入的探討。最終希望學習者能兼具理論與實際應用的能力。
The concept of using artificial intelligent into machinery to significant improve the machining performance or production efficiency is widely accepted by industry. The content of this course is then designed to have the following fundamental theories: 1. Industry 4.0 2. Artificial intelligent theory 3. AIoT theory 4. Deep learning theory 5. Theory of Raspberry Pi For improving the application ability, the use of Keras algorithm, Numpy coding library, OpenCV library will be included in the content of this course. Many case studies for solving the problem in real industry applications will also be introduced in the course.

課程學習目標 Course Objectives

  • 類神經網路
  • 數值控制工具機
  • 影像辨識
  • 課程進度 Progress Description

    進度說明 Progress Description
    1工業4.0與機械智慧化概論
    2電腦數值控制工具機(GM code)
    3PC-based控制器實務原理與應用
    4PC-based控制器實務運動控制程式設計
    5Numpy基本函式與數學函式運算
    6Numpy數學函式運算
    7Numpy資料正規化和回歸分析與機器學習
    8Numpy機器學習(鳶尾花分類、辨識手寫數字圖片)
    9機械智慧化之論文(期中報告)
    10Keras函式與實作(基本函式與分類應用)
    11Keras函式與實作(圖片辨識應用)
    12OpenCV基本函式運算
    13物件偵測演算法介紹與實作(YOLOv4)
    14樹莓派硬體及周邊軟體介紹
    15樹莓派串流影像辨識實作
    16機械智慧化之論文(期末報告)
    17業界專家分享或企業參訪
    18期末專題報告
     以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.

    有關課程其他調查 Other Surveys of Courses

    1.本課程是否規劃業界教師參與教學或演講?
    Is there any industry specialist invited in this course? How many times?
    2.本課程是否規劃含校外實習(並非參訪)?
    Are there any internships involved in the course? How many hours?
    3.本課程是否可歸認為學術倫理課程?
    Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics?
    4.本課程是否屬進入社區實踐課程?
    Is this course recognized as a Community engagement and Service learning course? Which community will be engaged?