Big Data, Artificial Intelligence And Investing Financial Management (Module From Postgraduate Diploma In Investment Management And Financial Intelligence) - School Of Professional And Continuing Education, Hku
課程名稱: |
Big Data, Artificial Intelligence And Investing Financial Management (Module From Postgraduate Diploma In Investment Management And Financial Intelligence) - School Of Professional And Continuing Education, Hku |
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院校名稱: |
香港大學專業進修學院 |
課程編號: |
33Z107701 |
範疇: |
商業及管理 |
上課模式: |
30 HOURS (PT) |
為期: |
5 WEEKS |
學費: |
6,900.00 |
入學要求: |
Applicants Shall Hold A Bachelor’S Degree Awarded By A Recognised Institution. If The Degree Or Equivalent Qualification Is From An Institution Where The Language Of Teaching And Assessment Is Not English, Applicants Shall Provide Evidence Of English Proficiency, Such As: I. An Overall Band Of 6.0 Or Above With No Subtests Lower Than 5.5 In The Ielts; Or Ii. A Score Of 550 Or Above In The Paper-Based Toefl, Or A Score Of 213 Or Above In The Computer-Based Toefl, Or A Score Of 80 Or Above In The Internet-Based Toefl; Or Iii. Hkale Use Of English At Grade E Or Above; Or Iv. Hkdse Examination English Language At Level 3 Or Above; Or V. Equivalent Qualifications. Applicants With Other Qualifications Will Be Considered On Individual Merit. Examples Of Equivalent Qualifications: Finance, Accounting, Economics, Mathematics, Statistics Or Engineering |
課程大綱: |
1. Introduction To Data Processing And Analyzing On Investing (6 Hours) A. Survey The Current Industry Practices And Trends (2 Hours) B. Case Studies On The Impact Of Big Data And Ai (2 Hours) C. Big Data Processing Techniques (2 Hours) 2. Sentiment Analysis (6 Hours) A. News And Social Media Sentiment Analysis (1 Hours) B. Sentiment And Price Performance Correlation (2 Hours) C. Text Analysis For Investing And Study Of Investors’ Behaviour (1 Hour) D. Performing Sentiment Analysis And Filtering (2 Hours) 3. Automated Trading (6 Hours) A. Understanding Algorithmic, Program And High Frequency Trading (2 Hours) B. Real-Time Analytics And Data-Streaming Processing (2 Hours) C. Examples Of Online Real-Time Data For Analysis (2 Hours) 4. Predictive Analytics And Visualisation Of Results (6 Hours) A. The Basics Of Ai And Machine Learnings (2 Hours) B. Applying Machine Learning To Predict Stock Order Flow (2 Hours) C. Interpretation Of Data Thru Visualization (2 Hours) 5. Challenges Of Deep & Reinforcement Learning Techniques In Investing (6 Hours) A. Introducing Alpha-Go And Its Underlying Technologies (2 Hours) B. Limitation On The Prediction Techniques (2 Hours) C. Managing The Trading Costs (2 Hours) |
資歷名冊登記號碼: |
17/001054/L6 |
資歷架構級別: |
6 |