基本素養 Basic Literacy

科技人文素養
Technological and Cultural literacy
環境與社會關懷
Environmental and Social Care
溝通合作能力與國際宏觀視野
Ability to communicate effectively with others and work in a team with developed international perspective

核心能力 Competence

專業與跨域能力
Professional and interdisciplinary capacity
創新思考及定義、獨立解決問題之能力
Innovative thinking as well as the ability to define and solve problems independently
語文與溝通能力,進而協調跨領域人員整合
Language and communication skills to coordinate the integration of interdisciplinary personnel
設計、驗證及與產業實作整合之能力,攜手促進產業轉型升級
The ability to design, verify, and integrate with industrial implementations, and work together to promote industrial transformation and upgrading
自我學習成長之能力:國際視野、基本素養
Developed sense of self- improvement: International Perspective, Principle Literacy

課程概述 Course Description

本課程首先概述AI運算應用以及如何在這些應用中構建AI運算系統。為了讓每個人都學習跨學科知識,隨後引入了一些數學和計算機科學基礎。在前幾節講座包含了Python複習部分,以幫助學生重溫python編程技能。然後,在現代人工智能的基礎上探索概念和算法,並通過六個Raspberry PI Lab的實作,讓學生強化學習如何人工智能和機器學習中的其他主題整合到自己的Python程式中,從而可以接觸到這些理論。本課程將以關於AI問題和應用的一系列討論結束。
This course first gives an overview on the AI applications and how AI computing systems are built in these applications. To prepare everyone for learning interdisciplinary knowledge, some mathematical and computer sciences foundations are introduced subsequently. Python review sections are included in the first few lectures to help students recap python programming skills. It then explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through 6 Raspberry PI hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. The course will end with a series of discussion on AI issues and applications.

課程學習目標 Course Objectives

  • 透過本課程介紹人工智慧運算的基本概念與應用
  • 讓學生了解敏求智慧學院學分學程的基本核心理念與內容
  • 讓學生了解人工智慧運算跨領域的應用現狀
  • 課程進度 Progress Description

    進度說明 Progress Description
    1Course Overview/Administration, What is AI? Applications and Examples of AI
    2AI History AI Concepts and Terminology
    3Computing for AI AI Application Areas Binary Mathematics
    4Understand Computing Systems Gitlab Tutorial and Software Development
    5Mathematical Foundations for AI Computing I – Linear Algebra Image Classification
    6Mathematical Foundations for AI Computing II – Introduction to Calculus Convolution
    7Linear Classification and Perceptron Convolution Neural Network
    8Mathematical Foundations for AI Computing III – Gradient Decent & Back-Propagation Deep-Learning Neural Network Acceleration
    9AI Applications I - AI Robotics Final Project Discussion - AI with Raspberry PI
    10AI Applications II – Chatbot & AI in Security AI Issues, Concerns and Ethical Considerations (Guest Speaker - Professor Shao-Men Lee)
    11Final Project Proposal Presentation
    12Final Project Proposal Review
    13Guest Speaker I
    14Application III - AI and Healthcare - Covid19 Empowering yourself, leadership and teamwork
    15Guest Speaker II
    16AI Applications IV - Smart Farming How Far is Too Far? | The Age of A.I.
    17Final Project Presentation
    18Final Project Presentation
     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.

    課程是否與永續發展目標相關調查
    Survey of the conntent relevant to SDGs

    本課程與SDGs相關項目如下:
    This course is relevant to these items of SDGs as following:
    • 工業、創新與基礎建設 (Industry Innovation and infrastructure)

    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? 是,約 2 次
    Is there any industry specialist invited in this course? How many times? Yes, about 2 times.
    2.本課程是否規劃含校外實習(並非參訪)? 否
    Are there any internships involved in the course? How many hours? No
    3.本課程是否可歸認為學術倫理課程? 否
    Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
    4.本課程是否屬進入社區實踐課程? 否
    Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No