Future Artificial Intelligence and FinTech

Programme Code: ELRN1803

Faculty of: Engineering, Department of Electrical and Electronic Engineering

Level-of-study: S4-S6

Area of Interest: Science

Programme Period: July 12, 2021 to July 16, 2021

Programme Fee: HKD 4,000

Discount(s) on Programme Fee:

20% Academy Summer Scholarship
5% Early Bird Discount (Deadline: February 28, 2021)

* 20% Alumni Discount, 10% Referral Discount and 5% Private Discount are NOT applicable. All discounts are NOT in conjunction with any other discounts. For further details, please visit here.

Deadline for Application: May 31, 2021

Online ApplicationAPPLY NOW

Course Description:

FinTech is a hot topic and is rapidly developing in the global financial centre like Hong Kong. With the use of advance technology such as algorithm trading, mobile payment, crypto currency, artificial intelligence, the landscape of the financial industry is changing and new skills and talents are demanded. On the other hand, Artificial Intelligence is another fast growing area. AI can be applied in many areas such as pattern recognition, security, fraud detection, stock market prediction etc. The course objectives are as follows: 1. To introduce the latest technologies on FinTech and Artificial Intelligence 2. To appreciate the application of Artificial Intelligence in different areas 3. To inspire the innovation and entrepreneurship sense of the learners

Course Instructor(s):

Dr. Wilton Fok

Course Outline:

Course-Outline

Programme Schedule:

Monday to Friday (09:30 – 12:30)

• You understand that you must be available for the entire duration of the programme, from the start to the end of the programme. 20% absence is allowed for emergencies or sick leave with legitimate reason and official letterhead proof for the absence. Students have the responsibility to contact the programme coordinator and/or teacher concerned about this ahead of time. No exceptions will be made, unless prior approval has been given. You are expected to be punctual for all classes and tutorials. Unexcused cases of lateness may count as absence. Students who fail to achieve an 80% of attendance or absence without legitimate reason and official letterhead proof for the absence will not be awarded the HKU Credits or the Certificate of Completion.