本課程主要目標是要讓同學認識各種新興資訊科技、如何透過資訊技術支援組織活動、如何有效達成組織目標、協助貿易智能化、如何將資訊服務產業與產品推向全世界。
課程內容包括資訊技術基本知識介紹,各種新興科技介紹(例如IOT物聯網、AI人工智慧、Big data大數據、Cloud Computing 雲端運算、Platform平台)及趨勢發展、硬體技術趨勢、通訊系統與介面、AIOT實務應用、資訊科技運用、平台策略、大數據行銷、科技創新與經營策略等議題的概要。對這些問題的基本認識,不僅是資訊管理者應具備的常識,也是一個專業國貿人在電腦化的社會中應有的素養。藉由瞭解「智能貿易資訊系統概論」之內容,培養學生畢業即就業支跨域斜槓青年與物π型人才。
課程內涵
1.認識各種新興資訊科技
(1)硬體技術趨勢:從大型主機、Unix主機、x86主機的歷史演進與技術趨勢
(2)通訊系統與介面:同軸電纜、光纖、3G、4G、5G、LPWAN無線通信技術
(3)IOT物聯網:IOT 概述、IOT類型、AIOT實務應用、Edge Computer
(4)AI人工智慧:AI概述、AI的發展與應用趨勢
(5)Big data大數據分析:Big data概述、Big data的發展與應用趨勢
(6)Cloud Computing 雲端運算:Cloud Computing概述、發展與應用趨勢
(7)區塊鏈:區塊鏈概述、區塊鏈發展與應用趨勢
(8)Platform平台:Platform概述、Platform發展與應用趨勢
2.創新科技應用實務
AIOT在智慧車載、智慧安全、智慧物流、智慧醫療、智慧娛樂、智慧能源、智慧建築,甚至於智能貿易等應用領域上,已初步獲致重大成就,
故AIOT儼然成為下一波產業革命的焦點。
3.如何透過資訊技術支援組織活動、如何有效達成組織目標、
4.智慧財產權介紹The main goal of this course is to allow students to understand various emerging information technologies, how to support organizational activities through information technology, how to effectively achieve organizational goals, assist in the intelligentization of trade, and how to promote information service industries and products to the world.
The course content includes an introduction to basic knowledge of information technology, introduction to various emerging technologies (such as IoT, AI, Big data, Cloud Computing, Platform) and trend development, hardware technology trends, communication systems and interfaces, An overview of topics such as AIOT practical application, information technology application, platform strategy, big data marketing, technological innovation and business strategy. A basic understanding of these issues is not only the common sense that information managers should have, but also the qualities that a professional international trader should have in a computerized society. By understanding the content of "Introduction to Intelligent Trade Information Systems", we will train students to be cross-domain slash youth and material-oriented talents who will be employed upon graduation.
Course content
1. Understand various emerging information technologies
(1) Hardware technology trends: historical evolution and technology trends of mainframes, Unix hosts, and x86 hosts
(2) Communication system and interface: coaxial cable, optical fiber, 3G, 4G, 5G, LPWAN wireless communication technology
(3) IOT Internet of Things: Overview of IOT, IOT types, AIOT practical applications, Edge Computer
(4)AI Artificial Intelligence: Overview of AI, development and application trends of AI
(5) Big data Big data analysis: Overview of Big data, development and application trends of Big data
(6)Cloud Computing: Overview, development and application trends of Cloud Computing
(7) Blockchain: Overview of Blockchain, Development and Application Trends of Blockchain
(8) Platform: Platform overview, Platform development and application trends
2. Innovative technology application practice
AIOT has initially made significant achievements in application fields such as smart vehicles, smart security, smart logistics, smart medical care, smart entertainment, smart energy, smart buildings, and even smart trade.
Therefore, AIOT has become the focus of the next wave of industrial revolution.
3. How to support organizational activities through information technology and how to effectively achieve organizational goals,
4. Introduction to Intellectual Property Rights
有鑒於時代的變遷產業環境改變,國際貿易的領域範圍已經已經橫跨消費性商品買賣、資通訊產品、工程與顧問。為了厚植國際貿易系學生個人競爭力並成為跨領域人才,因此本課程之主要軸心為導入ABCIP(Artificial Intelligence、Big data、Cloud Computing、IOT、Platform)跨域思維與課程。
本課程除了讓同學認識國際貿易過程中的資訊管理系統外,並逐步介紹資通訊產業的產業與發展歷程、Artificial Intelligence、Big data、Cloud Computing等先進資訊科技,並進而探討資訊科技運用、平台策略、大數據行銷、科技創新與經營策略。
使學生藉由瞭解「智能貿易資訊系統概論」之內容,培養學生畢業即就業支跨域斜槓青年與物π型人才。
In view of the changing times and changes in the industrial environment, the scope of international trade has spanned the purchase and sale of consumer goods, information and communication products, engineering and consulting. In order to enhance the personal competitiveness of students in the Department of International Trade and become cross-field talents, the main axis of this course is to introduce ABCIP (Artificial Intelligence, Big data, Cloud Computing, IOT, Platform) cross-domain thinking and courses.
In addition to allowing students to understand the information management system in the international trade process, this course also gradually introduces the industry and development history of the information and communication industry, advanced information technologies such as Artificial Intelligence, Big data, and Cloud Computing, and then discusses the application of information technology and platform strategies. , big data marketing, technological innovation and business strategy.
It enables students to understand the content of "Introduction to Intelligent Trade Information Systems" and cultivate cross-domain slash youth and material π-type talents for students to find jobs upon graduation.
1.新趨勢計算機概論(電子書) 作者:陳惠貞
2.IoT物聯網無限商機--產業概論x 實務應用(電子書) 作者:裴有恆/林祐祺
3.人工智慧垂直領域應用分析。作者:任上鳴、顧馨文、童啟晟、王琬昀、吳柏羲、姚陵錦、高昶易、郭家蓉、黃仕宗、盧冠芸
4.人工智慧、物聯網、區塊鏈大未來: 從AI 到 AIoT 到 AIoTB 作者:張渝江
5.實戰大數據作者:車品覺
6.雲端運算 (電子書)作者:Michael Miller
7.平台經濟模式: 從啟動、獲利到成長的全方位攻略-作者:傑弗瑞.帕克(Geoffrey Parker)、馬歇爾.范艾爾史泰恩(Marshall Van Alstyne)、桑吉.喬德利(Sangeet Paul Choudary)
8.智慧財產權管理實務及策略-作者:陸義淋
1. Introduction to New Trends in Computers (e-book) Author: Chen Huizhen
2. IoT Internet of Things Unlimited Business Opportunities--Industry Introduction x Practical Application (e-book) Author: Pei Youheng/Lin Youqi
3. Application analysis in vertical fields of artificial intelligence. Authors: Ren Shangming, Gu Xinwen, Tong Qisheng, Wang Wanyun, Wu Boxi, Yao Lingjin, Gao Changyi, Guo Jiarong, Huang Shizong, Lu Guanyun
4. The future of artificial intelligence, Internet of Things, and blockchain: from AI to AIoT to AIoTB Author: Zhang Yujiang
5. Practical Big Data Author: Che Pinjue
6. Cloud Computing (e-book) Author: Michael Miller
7. Platform economic model: a comprehensive strategy from start-up, profit to growth - Author: Jeffrey. Geoffrey Parker, Marshall. Marshall Van Alstyne, Sanji. Sangeet Paul Choudary
8. Intellectual Property Rights Management Practices and Strategies - Author: Lu Yilin
評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
---|---|---|
平時成績平時成績 usual results |
40 | 出席,上課表現 |
期中考期中考 midterm exam |
30 | 筆試或報告 |
期末考期末考 final exam |
30 | 筆試或報告 |