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.
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「智慧經濟 (Intelligent 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。 智慧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Intelligent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，提供學生智慧商務之觀念、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慧化之策略思維、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 indi-vidual body cells, can be aware of, access, analysis, use, making the "Intelligent 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 Intelligent 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 Intelligent 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 Intelligent business. To meet the business needs, the concept of Intelligent is integrated into the thinking of organization and competition environment to provide students with the concepts, business models, implementation methodology, and enabling technology of Intelligent 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 Intelligent business.
課程學習目標 Course Objectives
課程進度 Progress Description
|進度說明 Progress Description|
|1||1. 智慧商務( Intelligent Business)簡介: 1.1 智慧之概念 (Concept of Intelligent) 1.2 智慧系統與智慧企業 (Intelligent system and Intelligent enterprise) 1.3 商務智慧化 (Business Intelligentization)|
|2||2. 商務活動與企業工程(Business Activities and Enterprise Engineering) 2.1 商務活動(Business Activities) 2.2企業工程 (Enterprise Engineering)|
|3||3. 資料科學與人工智慧簡介: 2.1 資料科學 (Data Science) 2.2 人工智慧 (Artificial Intelligence)|
|4||4. 商務智慧化之分析技術 (Analytic methods for Intelligent Business) 4.1 現況分析(Descriptive analytics) 4.2 預測分析與預防(Predictive & preventive analytics ) 4.3 診斷分析(Diagnostics analytics) 4.4 處方分析(Prescriptive analytics)|
|5||5. 商務智慧化方法論 (Methodology for business Intelligentization)|
|6||6. 智慧商務模式與實現方法 6.1 智慧商務模式 (Intelligent business model) 6.2 新行銷與市場分析 (New Marketing and market analytics) 6.3 新顧客關係分析與管理(Customer Relationship Analytics and Management) 6-4 產品生命週期分析與智慧專案管理 (Product lifecycle analytics and Intelligent project management) 6.5 精實生產與製造分析 (Lean production and manufacturing analytics) 6.6 新零售與銷售分析(New retailing and sales analytics)|
|7||(二) 個人案例報告 (Individual Case Study) Company Introduction Needs or problems analysis Objective Methodology Data model Solution model Evaluation Discussion|
|8||(三) 專題研究 (Team Project) 1. Business Understanding Company Introduction Needs or problems analysis Objective 2. Information Requirement Analysis 3. Application Analysis and Solution Development As-is model To-be model 3. Data Understanding Data entity and attribute identification 4. Data preparation 5. Modeling 6. Evaluation 7. Discussion|
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:
- 工業、創新與基礎建設 (Industry Innovation and infrastructure)
有關課程其他調查 Other Surveys of Courses1.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.
Are there any internships involved in the course? How many hours? No
Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No