Natural Intelligence versus Artificial Intelligence

Programme Code: COMP0001

Faculty of: Engineering, Department of Computer Science

Level-of-study: S1-S6

Area of Interest: Science

Programme Period: July 25, 2022 to August 5, 2022

Programme Schedule: Monday to Friday (10:00 - 12:00)

Programme Fee: HKD 5,800

Teaching Mode: Online

Discount(s) on Programme Fee:
20% - Academy Summer Scholarship / HKUSI Alumni Discount
10% - Referral Discount / HKU Members Discount
5% - Early Bird Discount (Deadline: February 28, 2022) / Private Discount
* All discounts are NOT in conjunction with any other discounts.
For further details, please visit here.

Deadline for Application:
June 24, 2022

Online ApplicationAPPLY NOW

This programme has been changed from face-to-face to online delivery mode.

Course Description:

For thousands of years, we have tried to understand how humans think. In the first part of this course, we are going to study natural intelligence (NI) with a focus on the human brain. Do we really understand how the brain enables intelligent behavior? In the second part of this course, we will study Artificial Intelligence (AI) and how our knowledge of NI has influenced the development of AI. You will learn about the recent progress in the field and how state-of-art models enable intelligent machines. Finally, we are going to discuss the philosophical, ethical and safety aspects of developing AI. Should we really develop AI or could it mean the end of humanity?

Course Instructor(s):

Dr. Dirk Schnieders, Lecturer of Department of Computer Science

Course Outline:



• Students of non-credit bearing programmes will receive a certificate upon programme completion. Students of credit-bearing programmes can apply a transcript stated with HKU credits, please contact your home institution about the issue related to HKU credits recognition.

• 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.