Course ID CDI020191476
Course Title Talk Series on Emerging Technologies — Science, Opportunities and Challenges: (3) Computers That Learn from Experience — Deep Learning and Its Applications (New)
Organising Division Curriculum Development Institute
First Issue Date and Time 2019/11/28 09:31
Latest Issue Date and Time 2019/12/12 14:59
 Event (ID)   Session   Date   Time   No. of Hours   Venue   Speaker(s) / Facilitator(s)   Max. no. of participants 
 AA    2020/01/18 (Sat)    14:00 - 16:00    2.0    W301, 3/F, West Block, EDB Kowloon Tong Education Services Centre, 19 Suffolk Road, Kowloon Tong   Dr Cong Wang (Associate Professor, Department of Computer Science, City University of Hong Kong);
Dr Antoni Bert Chan (Associate Professor, Department of Computer Science, City University of Hong Kong) 
 Event (ID)   Session   Closing date for   Remark 
 Applicant   Recommending / Approving Officer 
 AA   1   2020/01/16   2020/01/17   1. This talk is co-organised by the Hong Kong Young Academy of Sciences (YASHK) and the Hong Kong Academy for Gifted Education (HKAGE).
2. Please refer to the attachment for the biographies of the speakers. 
Participant Group Teachers of STEM related KLAs of Secondary Schools 
Background In the past few centuries, we have been witnessing the huge impacts of advancements in science and technology on the socioeconomic developments of our society. Assisted by the new technologies, the productivity and the living standards of people have been raised tremendously, but also with awareness and ramifications on the health and sustainability of our environment.

We are currently at the dawn of a new industrial revolution and the impacts of technology on our society is even greater. Emerging technologies such as quantum engineering, genome editing, AI and renewable energy will likely have a revolutionary impact on our way of living, our planet, and our way of understanding nature and even ourselves.

YASHK and HKAGE are committed to inform our school teachers and students about the latest emerging technologies, to prepare our next generations for the opportunities and challenges ahead of us. 
Objective(s) 1. To give an introduction to deep learning and its recent advances within the context of real-world applications in computer vision, speech recognition, game AI players, and recommender systems; and
2. To discuss challenges (explainability, dataset bias, and adversarial examples) and ethical issues (privacy and accountability), as well as future opportunities. 
Programme Description Please refer to the attachment. 
Language Medium English  
CPD Elements for Teacher
CPD Mode: Structured Learning
CPD Hours: 2.0   Hour(s)
CPD Domain: I. Teaching & Learning
Content Area Subject Knowledge & Pedagogy/Learning & Teaching (V)
Attendance required for successful completion 100 %  Training & development data will be revealed in Teacher's Personal Profile in e-Services Portal (for e-Services Teacher account holders only) upon successful completion.
Enrolment Method: Web enrolment
Number of Nominees from Each School/Unit: 10
Requiring School Priority: Yes
Maximum No. of Event(s) selectable: 1
First-Come, First-Served: Yes
Evaluation Paper evaluation  
Contact Person(s): Mr William Lau
Enquiry Telephone No: 3698 3440
Email Address:
Remarks 1. Special Arrangements for Bad Weather

a. Course/Activity in the morning session will be cancelled when Black Rainstorm Warning Signal or Tropical Cyclone Warning Signal No. 8 or above is issued at or after 6:30 am.

b. Course/Activity in the afternoon session will be resumed when Black Rainstorm Warning Signal or Typhoon Signal No.8 or above is cancelled at or before 11:30 am. Otherwise, the Course /Activity is declared to be cancelled.

c. Participants will be notified of further arrangement in due course.

2. Car Park Arrangement
No car parks will be provided at venue.

3. Being late or early leave for more than 30 minutes will not be counted as achieving 100% attendance.  
Attachment(s) 講者簡介_Biographies of speakers.docx 
講座簡介_Programme synopsis.docx