課 程 概 述
Course Description

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
C285015 金融大數據與投資決策 Financial Big Data and Investment Decision 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。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 teaches students to use various techniques of big data mining and analysis algorithms, text mining of social media, and machine learning algorithms to analyze financial data. In this course, by case study and open software operation (such as R ), we will strengthen the financial knowledge of information background students. Also, the students can understand how to select and well organize various information technologies (particular the data analysis technique) to analyze financial data. The course is organized in modules, including "Data Analysis", "Machine Learning" and "Big Data Practice for Financial Data analysis". The course will also teach students to collect open financial data from the Internet, and experience the KDD process, including: data pre-processing and data analysis, to establish a prediction model with high forecasting ability and stability.

備註:

  1. 本資料係由本校各教學單位、教務處課務組、進修部教務組、進修學院教務組及計網中心所共同提供!
  2. 本資料僅供參考,正式資料仍以教務處、進修部、進修學院所公佈之書面資料為準。