基本素養 Basic Literacy

The aim is to emphasize dignity and values of humanity, and cultivate self-confidence.
The aim is to learn rules of law education and develop working manner and ethics with honor and tolerance.
The aim is to learn to adore life and to show care for the vulnerable.
The aim is to acquire knowledge and develop capabilities in learning foreign languages and aggressively joining international academic activities.

核心能力 Competence

The aim is to acquire knowledge and capabilities in intelligent manufacturing information and systems.
The aim is to acquire knowledge and developing capabilities in e-Manufacturing infrastructure.
The aim is to apply Information and System technology into industry for improving the efficiency and performance of manufacturing technology.
The aim is to acquire knowledge and develop capabilities of independently thinking, analyzing, and solving problems in manufacturing information and systems.
The aim is to acquire knowledge to analize research results.
The aim is to acquire knowledge of efficient communications for crossing research area through professional language expression.
The aim is to acquire knowledge of reading and writing professional papers.
The aim is to acquire knowledge of leadership for team working and innovative design.
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

在此「凡用過必留下數位足跡」的數位時代,online 與 mobile 資料充滿整個世界,加上移動計算、社群媒體、物聯網、雲端、大數據分析以及人工智慧與機器學習等技術的發展,促成了當前「資料科學」時代的來臨。由於從大環境到個人身體細胞的資料,皆能感知、獲取、分析、運用,使得「智能經濟 (Smart Economy)」蓬勃發展。然而有效運用這大量資料,以協助解決社會上的問題與滿足產業需求,仍然存在許多挑戰,也是世界各國政府、學界、業界重視的議題。 智能經濟不只是資料分析與機器學習技術的應用,在商業應用上更是一種策略思維和商業模式,從洞悉歷史進化、現況掌握到預測未來,以至持續改善與學習,使企業能更有效的進行商務活動、管理、問題解決與決策,甚至是新商業模式的開創。 本課程視Data Science及Artificial Intelligence與Machine Learning等為商務之應用策略與實現技術,將Smart之觀念融入組織與競爭環境之思維,整合相關之方法與技術,針對商務應用需求,提供學生智能商務之觀念、商務模式、導入方法與實現技術之知識內容,並藉由案例與專題研究以培養其商務智能化之策略思維、問題分析,以及決方案發展、實施與評量能力。
In this era of "where to use will leave the footprints", online and mobile data is full of the world, coupled with mobile computing, social media, networking, cloud, large data analysis and artificial intelligence and machine learning, contributes to the current "data science" era. As the data from the environment to the individual body cells, can be aware of, access, analysis, use, making the "smart economy" vigorous development. However, there are still many challenges to the effective use of this large amount of data to help solve social problems and meet industry needs, which thus become the issues of the world government, academia, industry. The smart economy is not only the application of data analysis and artificial intelligence technology but also a business strategy and business model. In the practice of smart business, enterprises can carry out more effective business activities, management, problem solving and decision making, and even the development of new business models through understanding the current status and facts, realizing history evolution, predicting the future and preventing abnormalities, and improve and learning. In this course, Data Science and Artificial Intelligence are viewed as the application strategy and enabling technology for smart business. To meet the business needs, the concept of Smart is integrated into the thinking of organization and competition environment to provide students with the concepts, business models, implementation methodology, and enabling technology of smart business. Besides lectures, students are required to conduct individual study and team project to enhance their knowledge for strategic thinking, problem analysis, as well as solution development, implementation and evaluation of smart business.

課程學習目標 Course Objectives

  • Smart Business concept
  • Smart Business Implementation Methodology and enabling technology
  • Smart Business Practice
  • 課程進度 Progress Description

    進度說明 Progress Description
    11. 智能企業( Smart Enterprise)簡介 1.1 資料科學之智能時代背景 1.2 智能經濟與商機
    21. 智能企業( Smart Enterprise)簡介 1.3 從認知看Smart之概念與要素 (“智能”之定義) 1.4 “系統”、“智能系統”與”智能企業” 1.5 “企業智能化”之概念
    3業界專家授課 (1):資料科學之商業應用與獲利模式
    42. 企業架構與企業工程(Enterprise Framework and Enterprise Engineering) 2.1 企業架構 (Enterprise Framework) 2.2商務活動簡介 2.3 產品生命週期 (Product Lifecycle) 2.4 企業工程 (Enterprise Engineering)
    53. 資料科學與人工智慧簡介 3.1 資料科學 (Data Science) 3.2 人工智慧 (Artificial Intelligence)
    64. 商務智能化方法 4.1 應用領域分析 (Application Analysis) 4.2 智能化需求分析 (Requirement Analysis) 4.3 解決方案設計 (Solution Development) 4.4 資料分析 (Data Analysis) 4.5 分析模型設計 (Analytic Model Development) 4.6 模型驗證
    75. 商務問題與智能解決方案 5.1 智能行銷與產品創新(Smart Marketing and Product Innovation) 5.2 智能專案管理 (Smart Project Management)
    95. 商務問題與智能解決方案 5.3 智能製造 (Smart Manufacturing)
    10業界專家授課(1) Digital Manufacturing (鴻海資訊長)
    115.4 智能銷售 (Business Intelligence) 5.5 服務(Smart Sales and Service) 5.6 智能財務(Smart Finance)
    126. 智能化之實現技術 (Technologies for Smart Business) 6.1 Descriptive analytics modeling
    136. 智能化之實現技術 (Technologies for Smart Business) 6.2 Predictive & preventive analytics modeling
    146. 智能化之實現技術 (Technologies for Smart Business) 6.3 Diagnostics analytics modeling
    156. 智能化之實現技術 (Technologies for Smart Business) 6.4 Prescriptive analytics modeling
    16專題研究報告(1) (Team Project Oral Report(1))
    17專題研究報告(2) (Team Project Oral Report(2))
    18期末考 (Final Exam.)
     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.

    Survey of the conntent relevant to SDGs

    This course is relevant to these items of SDGs as following:
    • 消除貧窮 (No poverty)
    • 消除飢餓 (Zero hunger)
    • 健康與福祉 (Good health and Well Being)
    • 教育品質 (Quality Education)
    • 就業與經濟成長 (Decent work and Economic growth)
    • 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

    © (2008-2022) National Cheng Kung University ALL RIGHTS RESERVED.