This course provides the foundation for developing new financial business models and trading strategies using blockchain and artificial intelligence (AI) technologies. It is designed for students who are interested in the applications of blockchain and AI in finance. Experience with linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course. You will learn the basics of blockchain and AI technologies and related practical topics, such as CBDC, crypto economics, digital asset management. You will also learn how to use open-source Python packages to design, test, and implement algorithms in finance. With relevant knowledge and skills, you will be ready for more advanced courses such as smart contract for finance, computational law in token economy, reinforcement learning in finance.
| Academic Units | 3 |
| Exam Schedule | Not Applicable |
| Grade Type | Letter Graded |
| Department Maintaining | BUS |
| Prerequisites | |
| Mutually Exclusive | |
| Not Available to All Programme | (Admyr 2011-2020) |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|
0930
1030
1130
1230
1330
1430
1530
1630
1730
BF3223
00351
SEM | ABS-SR8
BF3223
00350
SEM | ABS-SR7
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