| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| AB06605 | 人工智慧與金融大數據 | Artificial Intelligence and Financial Big Data | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程能夠讓修課學生靈活的運用各種大 數據探勘與分析演算法、社群文字探勘及 機器學習演算法等技術，分析各項金融資 料及人工智慧於金融科技之應用。透過實 際金融數據分析案例及實務資料操做，補 強資訊背景學生之金融產業知識，並讓修 課同學了解資訊科技於金融資料分析之實 務應用，以培育業界金融科技人才。課程 內容以模組的方式進行，包括：「數據分 析」、「機器學習」以及「金融大數據實 務」。課程也將擷取網路中的開放財經數 據，進行金融資料之預處理、分析及預測 結果之驗證，協助修課學生建構高預測能力及穩定性之數據探勘模型。 | |||
| 英文概述 English Description | This course enables students to flexibly utilize various big data mining and analysis algorithms, social text mining, and machine learning algorithms to analyze financial data and the application of artificial intelligence in financial technology. Through practical financial data analysis cases and hands-on experience with real-world data, the course strengthens the financial industry knowledge of students with information backgrounds and allows them to understand the practical application of information technology in financial data analysis, fostering talent in the financial technology industry. The course is structured into modules, including "Data Analysis," "Machine Learning," and "Financial Big Data Practice." The course also extracts open financial data from the internet for preprocessing, analysis, and verification of prediction results, assisting students in constructing data mining models with high predictive capability and stability. | |||
| 核心能力指標 | 1.具備資訊與財金管理領域的專業知識並瞭解其在相關領域上的應用 2.策劃及執行專題研究之能力 3.撰寫專業論文與表達之能力 4.創新思考與獨立解決問題的能力 5.具備跨領域團隊合作與溝通協調的組織能力 7.具備專案企劃與領導、管理的能力 | |||
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