AI科技論文研討(二)

Research Seminar on AI Technologies (II)

學期

111-2

學分

3 學分

當期課號

537017

永久課號

MGMS30116

開課單位

管理科學系

授課教師

向倩儀

校區

光復

類別

選修

上課時間表

節	週二
5 13:20–14:10	AI科技論文研討(二) M104 3 節連堂
6 14:20–15:10
7 15:30–16:20

* 根據陽明交大上課時間表所列

概述

本課程將介紹近年AI科技相關的研究發展,尤其著重在商業數據分析和資料科學上的應用。本課程的主要目標為培養研究生進階的科學研究方法,進而能擁有AI領域論文寫作的能力。

先修科目

管理資訊系統,人工智慧,商業智慧分析應用,機器學習商業應用,且修習過Python及統計相關課程。

教學方式

助教

評分方式

課堂參與30%,個人期末報告(口頭)10%,個人期末報告(書面)60%

課程大綱

資料科學
商業智慧分析應用

週次計畫

週次	主題
第 1 週	Abbasi, A., Sarker, S., &amp Chiang, R. H. (2016). Big data research in information systems: Toward an inclusive research agenda. Journal of the Association for Information Systems, 17(2), 3.
第 2 週	Grover, V., Chiang, R. H., Liang, T. P., &amp Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of Management Information Systems, 35(2), 388-423.
第 3 週	Trieu, V. H. (2017). Getting value from Business Intelligence systems: A review and research agenda. Decision Support Systems, 93, 111-124.
第 4 週	Lim, E. P., Chen, H., &amp Chen, G. (2013). Business intelligence and analytics: Research directions. ACM Transactions on Management Information Systems (TMIS), 3(4), 1-10.
第 5 週	Mikalef, P., Pappas, I. O., Krogstie, J., &amp Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547-578.
第 6 週	Corte-Real, N., Oliveira, T., &amp Ruivo, P. (2017). Assessing business value of Big Data Analytics in European firms. Journal of Business Research, 70, 379-390.
第 7 週	Storey, V. C., &amp Song, I. Y. (2017). Big data technologies and management: What conceptual modeling can do. Data &amp Knowledge Engineering, 108, 50-67.
第 8 週	Akter, S., Michael, K., Uddin, M. R., McCarthy, G., &amp Rahman, M. (2020). Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics. Annals of Operations Research, 1-33.
第 9 週	Waller, M. A., &amp Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77-84.
第 10 週	Mikalef, P., Pappas, I. O., Krogstie, J., &amp Pavlou, P. A. (2020). Big data and business analytics: A research agenda for realizing business value. Information &amp Management, 57(1), 103237.
第 11 週	Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., &amp Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment?. International Journal of Production Economics, 182, 113-131.
第 12 週	Fan, S., Lau, R. Y., &amp Zhao, J. L. (2015). Demystifying big data analytics for business intelligence through the lens of marketing mix. Big Data Research, 2(1), 28-32.
第 13 週	Saggi, M. K., &amp Jain, S. (2018). A survey towards an integration of big data analytics to big insights for value-creation. Information Processing &amp Management, 54(5), 758-790.
第 14 週	Muller, O., Fay, M., &amp Vom Brocke, J. (2018). The effect of big data and analytics on firm performance: An econometric analysis considering industry characteristics. Journal of Management Information Systems, 35(2), 488-509.
第 15 週	期末口頭報告與討論
第 16 週	期末口頭報告與討論
第 17 週	期末口頭報告與討論
第 18 週	期末口頭報告與討論

教科書

每週指定閱讀文獻

Office Hours

地點: 上課教室
時間: 週四 5 – 6 pm
聯絡方式: By E3 or email