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1. 課程介紹
讓學生瞭解AI貿易基本概念，運用政府及民間機構提供之大數據資料，學習分析全球各產業的貿易趨勢，以找尋貿易商機。
2. 人工智慧概論
瞭解AI、雲端運算與大數據之間的關係，探究全球AI產業發展趨勢。
3. 大數據
學習大數據的特性，並瞭解其商用途徑，進行探究大數據產業。
4. 政府大數據案例分析
藉由政府及民間機構之大數據案例，學習各資料運用時機及解決何問題。
5. AI 貿易
深入探究人工智慧對全球貿易、全球供應鏈、國際貿易流程、貿易產銷、海關作業與物流、的影響，並延伸討論智慧契約、貿易融資議題。
6. 大數據應用
實際帶領學生利用「iTrade 全球貿易大數據平台」及「TAITRA貿易指數」兩大貿易大數 據資料，探究全球貿易趨勢，並分析臺灣何產業於全球貿易上佔有一席之地，瞭解臺灣各產業在國際市場上之佈局，並尋求未來可投入之目標市場，以進行精準行銷。
7. 課程評估
以課堂上參與討論之情況、期中考及以及分組口頭及紙本報告，進行評估學生之學習成效。
This course aims to help students gain the basic concepts of international trade in AI, as well as using big data provided by government agency and private organizations to lean that the analysis on trade trend in global industry and to find trading opportunities.
1. Course Introduction
To provide students with an understanding of the basic concepts of international trade in AI. Use big data provided by government and private organizations to analyze trade trends of various industries in global markets and further explore trade opportunities
2. Introduction to AI
To understand the relationship between AI, cloud computing, and big data, further to explore the development trends of the global AI industry.
3. Big data
Learn about the characteristics of big data, to understand commercial approach of big data and to explore industry in big data.
4. The cases analysis of big data in Government
To learn how big data used by organizations, its business benefits, big data technologies, the challenges that users face.
5. International trade in AI
To delve into the impacts of AI on global trade, global supply chains, international trade process, production and marketing of trade, customs operations, and logistics. Further discussing the issues of AI, smart contracts, and trade finance.
6. Application of big data analytics
Practically lead students to use two trade platforms “iTrade platform” and “TAITRA trade index” to analyze trade trends of various industries in global markets. Understand the layout of Taiwan's various industries in the international market and seek target markets for future investment for precise marketing.
7. Course evaluation
According to the participation on discussions in class, mid-term exams, and group oral and paper reports to evaluation of students' learning effectiveness.
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