XMUM Students Win Second Prize in Mathematical Contest in Modelling

December 5, 2019

Innovation Center congratulates three XMUM students for winning National Second Prize for their project, “Taxi driver decision model based on differential equation”, in the 2019 Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM).

Organized by China Society for Industrial and Applied Mathematics (CSIAM), CUMCM is an annual contest for undergraduates from all over the world, which has been held annually since 1992. With the purpose of exposing students to the real-world challenges inherent to mathematical modeling and applications and providing educational experience unique to problem-based learning, it attracted 42,992 participating teams (near 130,000 students) from 1490 institutions in 2019.

The team of three – Zheng Ziyue and Wu Dayong from Digital Media Technology Programme and Ren Yijie from Chemical Engineering Programme – joined the competition under the guidance of Dr. Xiao Han, Head of XMUM ICT Department. The competition started with differential equations and problem analysis by building complex expressions, and ended with the result producing through programming.

What the Three Participants Thought after the Competition:

Wu Dayong: Opportunities are always reserved to those who are well-prepared – that’s why our whole team learned all the prerequisites for the competition such as MatLab, SPSS and related algorithms. Moreover, the team must stay strong and tenacious enough to survive through potential obstacles both technically and physically.

Zheng Ziyue: It is essential for programmers to have a strong math foundation because they need to turn modelling formulas into codes. The ability of coding under pressure and time constraint are also very important, which turned out to be two major challenges in the competition.

Ren Yijie: Mastering the skills of displaying ideas in the form of imgaes with Visio, Mindmanager and other tools is really necessary. For the paper writing, it is highly recommended to learn Latex in advance, which can make the typesetting more beautiful and succinct.

From left: Zheng Ziyue, Wu Dayong, Ren Yijie

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