CityU's Data Science Day
The Day will begin by the President Way Kuo’s opening address. World-renowned Artificial Intelligence scholar and entrepreneur, Dr Kai-Fu Lee, will deliver the keynote speech through online platform. The Day will feature two technical sessions to showcase HKIDS project presentations by faculties across CityU. A panel discussion on data science for interdisciplinary research and education will be held in late morning. The Data Science Day also celebrates the occasion of SDSC’s and HKIDS’s two-year anniversary.
Date: 7 August 2020 (Friday)
Time: 9:00am – 4:00pm
Medium of instruction: English
Online registration: Click HERE or Scan the QR code. (Meeting ID and password will be sent to you automatically)
Details: Event rundown and Poster
Practice Makes Perfect? A Machine's Perspective
One ultimate goal of Artificial Intelligence (AI) is to build a machine/system that can learn by itself, via interactions with the environment. One successful example is AlphaGo, an AI that plays the board game Go with world-class performance. The underlying framework that builds AlphaGo is called Reinforcement Learning (RL), a standard paradigm where an AI can respond to the environment. In this lecture, we will study the idea of reinforcement learning and discuss how this framework can be applied to different applications such as digital marketing and game AI.
Date: 30 July 2020 (Thursday)
Time: 4:00pm - 5:00pm
Targets: F.4 to F.6 Students
Instructor: Dr. Clint HO, Assistant Professor, School of Data Science, City University of Hong Kong
2020 Virtual Crypto Forum:
The Role of Cryptocurrency – Blockchain in the Post-Pandemic World
The School of Data Science co-organises the 2020 Virtual Crypto Forum with College of Business and GOSS Institute of Research Ltd, Crypto Review ad B2 Fintech School.
The unprecedented outbreak of COVID-19 has drastically changed people’s life styles across the globe. Facing the increasing demand for digital economy, the ideology neutral blockchain is seen as the bridge between different nations and an emerging global marketplace.
Responding to the global discussion of cryptocurrency and blockchain and to create a positive and inclusive voice in this era of instability and intolerance, the 2020 Virtual Crypto Forum brings together scholars in academia and senior experts from industry. The interdisciplinary discussion will take a focused look at the development and application of currency and blockchain integration, their social and economic significances in the post-pandemic world.
International Forum on Data Science Approaches to the COVID-19 Pandemic [Online]
The School of Data Science will co-organise an online forum with College of Business and Hong Kong Institute for Data Science on 28 and 29 May 2020. The International Forum on Data Science Approaches to the COVID-19 Pandemic [Online] will present the expert views of leading scholars from internationally renowned universities in the US, such as Harvard University, Massachusetts Institute of Technology, Cornell University, and counterparts in Hong Kong and Mainland China, to combat the worst pandemic in recent human history. Renowned speakers from data science, medical sciences, management sciences, and engineering will present their analyses and insights to help the society effectively cope with the pandemic. Speakers will also present their best approaches to containing the societal impact and economic consequences of the pandemic with tools from engineering, science, and artificial intelligence. A panel of speakers will answer questions from registered audience during the forum.
Date and time: 28 and 29 May 2020 (Thursday and Friday), 9:00am – 12:00nn
Medium of instruction: English
Online registration: Click the "Online Registration" button or Scan the QR code. (Meeting ID and password will be sent to you automatically)
Details: Poster, Rundown, and Programme Booklet
Online Forum - Data Science Approach to the Coronavirus Pandemic
The School of Data Science, College of Business and Hong Kong Institute for Data Science co-organise an online forum Data Science Approach to the Coronavirus Pandemic.
The forum will present to you the expert views of leading scholars at the City University of Hong Kong to combat the worst pandemic in recent human history. Panelists from data science, management sciences, engineering and biomedical sciences will help the public understand and cope with the pandemic through analyzing complex data and recent news. The Panel will answer questions from registered audience during the forum.
Date and time: 17 April 2020 (Friday), 3:00 – 4:30pm
Medium of instruction: English
Online registration: Click the "Online Registration" button or Scan the QR code. A Zoom link will be e-mailed to registered audience at least 1 day in advance.
Enquiry: email@example.com (View Poster)
The Eighth International Research Conference on Systems Engineering and Management Science (IRC-SEMS2020)
24 - 25 April 2020
State Key Laboratory of Internet of Things for Smart City,
University of Macau, Macau, China
A JOURNEY TO
THE WONDERLAND OF DATA SCIENCE
4 July 2019 | 10.30 am – 12.30pm [FULL]
15 July 2019 | 3.00 pm – 5.00pm [FULL]
This workshop will introduce “data science” to students through a small scale data science project.
WHAT WILL THE STUDENTS LEARN
Students can join either one of the workshops to learn:
• what is data science;
• what do data scientists do; and
• how to execute a small scale data science project.
WHAT WILL THE STUDENTS DO
Execute a small data science project by using mobile phone to read handwritten letters (data) through the application of illustrative software supplied at the workshop.
• A smartphone (needed during the workshop)
• Interest in mathematics and/or computer studies and/or data science
MEDIUM OF INSTRUCTION
18 June 2019
1-Hour Career & Life Planning Workshop
Special opportunity for S6 Students to explore the Career Prospects of Data Science Graduates!
Target Students: S6 Students
Date & Time
6 June 2019 (Thu), 2:30-3:30pm
14 June 2019 (Fri), 2:30-3:30pm
P-7510, 7/F, Purple Zone, Yeung Kin Man Academic Building, CityU
Please register here before 31 May 2019.
Successful applicants will receive a confirmation email from the School of Data Science by early June. For enquiries, please contact us at firstname.lastname@example.org.
DataSciWork - Career Life & Planning workshops for F.5 students to explore Data Science
To promote data science study as a university major, SDSC has partnered with FDMT to launch a series of activities for F.5 and F.6 students.
DataSciWork, a 1-day CLP workshop aimed at helping school-nominated F.5 students make an informed choice in university data science study by introducing many related career options.
All secondary schools in Hong Kong are welcomed to nominate students for DataSciWork.
Special updates and talks incorporating the DSE study schedule are prepared for the interested F.6 students on the subject.
For enquiry, please fill the
The Seventh International Research Conference on Systems Engineering and Management Science (IRC-SEMS2019)
19 - 20 April, 2019
School of Management and Engineering,
Nanjing University, Nanjing, China
Data science careers: The Sexiest Job of the 21st Century
13 October, 2018 (CityU Information Day 2018)
- 11:30am to 12:30pm and
- 4:00pm to 5:00pm
Peter Ho Lecture Theatre (LT-10),
Floor 4, Yeung Kin Man Academic Building
Dr. Xiang ZHOU, Associate Professor
Dr. Zijun ZHANG, Associate Professor
This talk introduces undergraduate programs in the first School of Data Science in Hong Kong, Bachelor of Science in Data Science and Bachelor of Engineering in Data Analytics and Systems, covering curriculum structures, knowledge and disciplines offered, as well as career prospects. We shall describe what is data science and how careers on data science advance nowadays data-driven business and artificial intelligence of various industries. The primal goal of the programs and the learning objectives will be explained. Successful stories on applications of the data science from world-class companies to emerging startup companies will be shared to illustrate the promising and prosperous future of the career in data science.