教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
111-2	317317	機器學習輔助電腦稽核	1	3.0	3	★	彭祖乙	資財所 創新資安學位學程	11	0	科研240/新聘教師/資財四乙碩和創新資安學程合開

教學大綱與進度：

教師姓名	彭祖乙　教師諮商時間(Office Hours)
Email	johnpeng@mail.ntut.edu.tw
最後更新時間	2023-02-09 02:53:13
課程大綱	電腦稽核已廣泛的應用在金融交易，企業財務與進銷存流程與資訊系統的各項領域來協助找出瑕疵，降低與防範風險，並能做趨勢預測。本課程的目的將機器學習與人工智慧的技術應用在電腦稽核領域，主題包含: 電腦稽核的流程，大量資料的整理與萃取，監督式與非監督式學習在稽核的應用，資料視覺化技術等。 Computer auditing has been widely used in financial transactions, enterprise business processes, and information systems, which is to help find flaws and reduce risks, and be able to predict trends. The purpose of this course is to apply machine learning technology in the field of computer auditing. Topics include Computer auditing related processes, the extraction and manipulation of large-scaled data, supervised and unsupervised learning in auditing applications, data visualization technology.
課程進度	week 1: Introduction, overview of why, what and how week 2-3 Workflow of computer auditing: various cases studies week 4-6 Data fetch and manipulation technologies: hands-on with google tool and low-code RPA tools week 7-8 Machine learning tools on dataset training and detection week 9 Mid-term report week 10-11 Unsupervised learning tools for auditing week 12-15 Data visualization week 16-18 Group project presentation
評量方式與標準	• Homeworks, class participation: 30% • Midterm report & presentation: 30% • Final project: 40%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：否 Low-code and no-code ML tools, such as https://blog.tensorflow.org/2022/12/introducing-simple-ml-for-sheets.html
課程諮詢管道	johnpeng@ntut.edu.tw course web site will be listed on https://tipeng.wixsite.com/school/
課程對應SDGs指標
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