“UM: Joyous and Splendid Campus” Photography Competition
Student Affairs Office
Macao Digital Photography Association
01 March 2019 - 31 October 2019
Objective: To celebrate the 70th anniversary of the founding of the People's Republic of China, the 20th anniversary of the establishment of the Macao Special Administrative Region, the 10th anniversary of the construction of the new campus of University of Macau and to promote the development of campus culture diversity. SAO is holding the photography competition with the following details
Application period: 01/03/2019 - 31/10/2019
Eligibility: The competition is divided into three groups： ►Student Group: All registered full-time UM students (including students from the off-campus curriculum center) ►Staff / Alumni Group: All staff currently working in UM or alumni who have graduated from full-time courses ►Open Group: Local resident with valid Macau ID card (permanent and non-permanent)
Submission: Participant submit the completed application form together with the physical works and save the photos' file in CD / memory card then pack it into a sealed envelope with subject "UM: Joyous and Splendid Campus" photography competition to the Student Activity Center (E31) room 2007.
Workshop of Artificial Intelligence in Algorithmic Trading
ICI - Centre for Artificial Intelligence
2 Sep 2019 to 3 Sep 2019
N1-1004, UM Guest House
Workshop Description Program trading, which includes high frequency trading (HFT), has become important that it generated over sixty percent of trading volume at Nasdaq and NYSE as well as close to seventy percent at China A-share. Also, the technologies and models used in algo trading also experienced a huge change in the past five years that AI became the focus spot that several leading hedge funds and banks, such as, Renaissance Technologies, Two-Sigma, and Goldman Sachs, invested significantly on building such AI environment. Where AI technologies can be applied to support algo trading? There are wide range of issues that AI, especially the machine learning, deep learning, or even more specific models like transfer learning, can assist in building solutions, for example, market analysis, market sentiment analysis, trading opportunities identification, market impact and trading cost estimation/optimization, trading strategies selection, order slicing and trade scheduling, capital and exit management, as well as risk management. As a summary, we will discuss how traditional models and AI can be applied to support different stages of algo trading. We will also discuss how to form Algo Trading teams to participate in different competitions.
Learning Objectives After finishing the workshop, students will be able to 1. Understand the process or operation of algo trading. 2. Understand the cost structure of algo trading and how they affect the performance of trading. 3. Understand the major traditional and AI technologies in supporting algo trading. 4. Understand how to build a trading system with selected trading strategies. In summary, after taking this workshop, students not only understand the theories from the textbooks, but also have practical and hand-on experience to develop AI-based trading system.
UM Students with priority to postgraduate students