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(Last update on: 11 March 2021)
|Date:||26 - 30 July, 2, 3, 4*, 5* August 2021 (42 Hours)|
|Time:||9:30 am – 4:30 pm|
|Teaching Platform:||Face to Face (The Chinese University of Hong Kong) #|
|Expected Applicants:||Students studying S4-S6 or equivalent who must have taken at least one science course which include Biology, Chemistry, Combined Science, Physics, Information and Communication Technology, Design and Applied Technology, Mathematics Extended Module 1 or 2|
|Tuition Fee:||HKD 3500.00
(Students who have attended all sessions will be granted a HKD 500 scholarship)
|* This date is reserved for make-up classes in case there is any cancellation of classes due to unexpected circumstances.
# This course is offered face-to-face lessons at CUHK campus. It may switch to online teaching in accordance with the pandemic development and the policy of the university.
Artificial intelligence (AI) is all the rage these days. We are promised a future of more gadgets and services with AI-powered features such as intelligent chatbots, virtual assistants, and self-driving cars. The current AI boom was largely fuelled by breakthroughs in an area known as machine learning. It involves training computers to perform tasks based on examples rather than programming by a human. A branch of this approach called deep learning has made it more promising for solving perceptual problems such as image classification, face recognition, and natural language processing.
This course offers a hands-on exploration of machine learning through a trilogy approach: mathematical concepts, algorithms, and programming. We will begin with introducing what machine learning is, how it works, and what it can achieve. With a comprehensive treatment of the mathematics and theories involved, we will walk through typical implementations of artificial neural networks to see how the theories turn into practice. Then we will move on to teaching students to make some interesting AI applications (e.g. games) using the Python programming language and machine learning frameworks such as TensorFlow and Keras.
|Programme sponsored by:||Shanghai Fraternity Association|
|Category:||Category I – University Credit-Bearing|
|Learning outcomes:||Upon completion of this course, students should be able to:|
|Medium of Instruction:||Cantonese supplemented with English|
|Recognition:||No. of University unit(s): 2
* Certificate or letter of completion will be awarded to students who attain at least 75% attendance and pass the assessment (if applicable)
|Expected applicants:||Students studying S4-S6 or equivalent who must have taken at least one science course which include Biology, Chemistry, Combined Science, Physics, Information and Communication Technology, Design and Applied Technology, Mathematics Extended Module 1 or 2|
|Organising period:||Summer 2021|
|Application method:||SAYT Online application|