2019-02-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/678099摘要：隨科技演進、數據資料大量積累，資料科學家能使用新的工具完成更複雜專業的工作。而有別於傳統資料探勘的訓練，新時代的資料科學家應具備其核心知識與分析方法，才能問出對的問題、解讀出數據中有意義的答案。故本計畫結合人文社會科學的核心教學與計算機科學、程式語言等跨領域專長訓練，期能培養具備人文社會領域的核心知識、與資料量化分析能力的跨領域人才，以回應新時代的社會需求與社會問題。 主持計畫之師資團隊皆有跨領域教學的經驗，且於資料的取得、應用都有其成果。建立於該基礎之上，培養師資社群包含社科院、理學院、資管系等教師。整合課程設計，納入統計、語料分析、資料視覺化、地理資訊系統等各領域之基礎訓練。透過本計畫更期盼其他各領域的師資、甚至業界加入，輔以國內外之學術交流、研討會，借鏡經驗拓展前瞻領域的議題開發與應用。<br> Abstract: With the evolution of technology and the mass accumulation of data, data scientists are able to use new tools to finish work which is more complex and professional. Different from the traditional training of data mining, data scientists in the new era should have their core knowledge and analytical methods in order to ask the right questions and interpret meaningful answers in the data. Therefore, this project combines the core curriculum of social sciences with computer science and programming language. It can cultivate students’ cross-disciplinary ability with quantitative analysis knowledge in the humanities and social science so as to respond to the society in the new era. The faculty team presiding over the project is experienced in cross-disciplinary teaching, and has great performance in the acquisition and application of data. Based on this foundation, the training of the teachers includes those from the College of Social Sciences, the College of Science, and the Department of Information Management. As to the curriculum design, we integrate different courses from each field and incorporate basic knowledge in statistics, corpus analysis, data visualization, and geographic information systems. Through this project, we hope that teachers and even the industry in other fields will join us, so that we can facilitate more academic exchange by holding domestic or foreign seminars, and use the experience as the foundation to expand the development and application of in the foresight studies.資料科學跨域專長Data ScienceCross Disciplinary