It’s Clean Sweep for APU!
APU bags all three academic awards at National Big Data Challenge
Kuala Lumpur,
21 December 2016
3 student teams from Asia Pacific University of Technology & Innovation (APU) attained all of the top 3 awards, as they emerged as the Champion, 1st Runner-Up and 2nd Runner Up award winners of the Academic Track of Big App Challenge 3.0. The results were announced at the awards ceremony, which was held at Hilton KL Sentral on the 9th of December 2016.
The competition was organized by the Malaysia Digital Economy Corporation (MDEC), in line with its efforts to encourage and increase the adoption of Big Data Analytics across all sectors in the country. Through the challenge, MDEC provided a platform for the nation’s brightest application developers to tap into the power of Big Data to solve socio-economic problems.
Participants in the semi-finals of the challenge came from various hackathons nationwide, which were organized by educational institutions and members of the industry. In August, the Asia Pacific Center for Analytics (APCA) organized the APU Data Science Week & the APU Big Data Week Hackathon at its campus in Technology Park Malaysia, Bukit Jalil.
The multi-level challenge took place over several months, in which participants gained advancement into the Semi Finals and Grand Finals after several rounds of ideas and prototype presentations, workshops and debate sessions from the panel of judges, who were appointed by MDEC.
The winning team from APU stood out among all participants with the project, Affinity Analysis and Prediction (AAP), which aims to reduce university drop-out rates by identifying students’ strengths and interests through data analytics.
1st runner-up for academia track
2nd runner-up for academia track
The team comprises Chin Koh Shian, Dickson Pang Yee Sheng, Hiew Ming An and Manigandran Raamanathan; they walked away with a cash prize of RM10,000.00.
In addition, two more projects from APU teams, WG – Movie Theatre Advertising System using Analytics, and Superlon – Analytics System that reduces the risk of underweight babies bagged the 1st Runner Up and 2nd Runner Up awards of the Academic Track at the Big App Challenge 3.0 respectively.
“We are delighted to know about our victory; but what overwhelmed us the most was the moment when we knew that our friends from other teams also won the two other awards! It’s all three awards for us – it’s amazing!”
said the winning team, as they received the award from Dr. Karl Ng Kah Hou, MDEC Innovation Capital Director.
The winning team from APU developed the Affinity Analysis and Prediction (AAP) project to reduce universities’ drop-out rate. From left: Hiew Ming An, Chin Koh Shian, Dr. Karl Ng Kah Hou, MDEC Innovation Capital Director, Manigandan Raamanathan and Dickson Pang Yee Sheng
The Asia Pacific University of Technology & Innovation (APU) is amongst Malaysia’s Premier Private Universities. APU offers a wide range of degree programs in collaboration with Staffordshire University, UK with Technology as a common core. These programs nurture students into professionals and prepare them for challenging careers and roles in business and society globally. Professionalism, problem-solving skills, and creativity & innovation are some of the key attributes of APU graduates. The multi-cultural student community comprises both Malaysian students as well as International students from over 110 countries. APU was also Rated No.1 in Asia and Malaysia for Multicultural Learning Experience by the Student Barometer Wave 2015, ‘Studying with people from other cultures’.
APU has earned an enviable reputation as an award-winning University through its achievements in winning a host of prestigious awards at national and international levels. It was announced as among the Highest Rated Universities in Malaysia, being rated at TIER 5 (EXCELLENT) under the SETARA 2013 Ratings by the Ministry of Higher Education (MOHE) and Malaysian Qualifications Agency (MQA) on 1st November 2012 and has maintained this Excellent rating in the latest SETARA 2013 Ratings announced on 17th November 2014.
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