The application of mathematical modeling in the quantitative field of financial investment
Chengdu
Date: Jul.23 - Jul.27, 2025
Math, Statistics, Financial Engineering
Mathematical modeling is a method of mathematical thinking that employs the language and techniques of mathematics to abstract and simplify real-world problems, creating approximate representations that can effectively "solve" these issues. Mathematical modeling is indeed the process of describing actual phenomena in mathematical terms. In finance, mathematical models have been applied increasingly widely, not only assisting financial institutions in managing risk but also enabling analysts to optimize investment portfolios, price derivatives, and implement high-frequency trading through quantitative analysis.
This project collaborates with experts in the field of mathematics from national research institutes to provide a systematic learning in the concepts and theories. Through hands-on applications in areas such as investment model construction and quantitative trading, students will gain a deep understanding of the critical role mathematical modeling plays in solving diverse problems.
Teaching Faculty
Experts in the field of Mathematics from national research institutes are specially invited.
Cutting-edge Topics
Systematically learn the concepts and principles of mathematical modeling.
Real Lab Practice
Hands-on operations such as quantitative stock trading model construction and simulation practice.
Outcome Application
Research outcomes for further exploration of the significance of mathematical modeling in finance.
Main Experiments

Python

Sign Function Visualization

Quantitative Stock Trading Strategy

Python编程基础

投资规划收益

飞行管理调度

传染病预测
Certificates
ASDAN SCIENCE 证书
UCAS 官方推荐的 ASDAN SCIENCE SHORT COURSES CREDIT
XLAB中国官方结业证书
*证书sample仅为参考,具体证书内容可能会根据当期课程内容微调,以实际发放为准
科研院所证书
*证书sample仅为参考,具体证书内容可能会根据当期课程内容微调,以实际发放为准
ASDAN Research证书
(可选,需完成后续学术产出)
项目感言
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参与XLAB实验,犹如开启一场知识与技能的奇妙之旅,让我收获满满。其中,数学建模环节对我影响最为深刻。在该环节中,我学会将实际问题抽象成数学模型,运用统计学原理与方法进行求解与验证。从数据收集、模型构建到结果分析,每一步都锻炼了我对数据的敏感度和处理复杂问题的能力。这一收获对我选择统计学作为留学目标专业帮助极大。它让我清晰认识到统计学在实际应用中的关键作用,不仅加深了我对统计学理论知识的理解,还让我看到统计学与其他领域交叉融合的广阔前景。使我在留学专业学习上,更能明确方向,有针对性地强化相关知识与技能,为日后在统计学领域深入研究与实践筑牢根基。
—— 北京潞河国际教育学园 贾同学
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数学建模实践让我深刻理解了数学与现实世界的紧密联系,提高了我的逻辑思维和问题解决能力。通过实践,我学会了运用数学工具分析复杂问题,为决策提供支持。这次经历让我对留学深造充满期待,特别是数据科学、人工智能等方向。我希望通过留学,能更深入地研究数学建模的应用,为未来的职业发展打下坚实的基础。
—— 合肥一中 叶同学
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如果目标留学专业是工程类专业,数字模型和场景化实验经历可以为后续学习工程建模、系统仿真等课程打下坚实基础。在留学期间进行工程项目实践时,能够快速建立有效的模型来解决实际工程问题。若是数据科学专业,这些经历有助于更好地理解数据驱动的模型构建和优化方法,在处理复杂数据集和进行算法优化时更得心应手,为深入学习机器学习、数据挖掘等课程提供实践支撑。
—— 大连市英领国际学校 张同学
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Why Us
History
XLAB has a 20+ year history. It was initiated by Professor Neher of the University of Göttingen in Germany and strongly supported by the German government and the University of Göttingen. XLAB, centered around high-end scientific experiments, is widely favored by over 10,000 students yearly. XLAB has established practice centers worldwide, aiming to expand this unique concept and teaching method to reach more students.
XLAB aims to enable more people to learn and experience the joy of science, encouraging them to explore the mysteries of science and consider how to use science to solve human problems. Therefore, XALB's subjects are generally more complex in physics, biology, or medicine. Instead, they focus more on interdisciplinary, cutting-edge topics such as genetic engineering, medical research, nanobiology, medical chemistry, high-energy physics, and more.
Subject
Experiment
Experiments are the core of the XLAB. Each participant can enter advanced laboratories to conduct safe experiments, analyze data, and write experiment reports. Over six hours of scientific research daily enhances students' scientific knowledge and logical thinking and cultivates concentration and endurance. Students will be able to experience the work content and status firsthand and consider whether to choose a research direction in future education.
The courses in XLAB are unique. They consist of four key modules: Subject Introduction and Program Thinking, Scientific Research Teaching, Laboratory Operations, Experimental Data Analysis, and Research Report Writing. All courses are taught in small groups of 10 to 25 students.
Course
Faculty
Experts are invited to design experiments and teach students since the topics and content of XLAB exceed the curriculum of high schools and are specialized in specific research areas. Relevant scientific research institutions support XLAB China and provide an in-depth academic experience for Chinese students based on its unique teaching methods and experimental requirements.
Two authoritative certificates are available: the XLAB Program Certificate of Participation, which details the experimental content and is signed by instructors. Students will complete an academic report containing experimental results and data analysis to apply for the ASDAN "Science Award" Certificate for 30 credit hours of study officially accredited by UCAS.
Certificate
Research
XALB provides invaluable research scenarios for students who plan or are currently engaged in natural science research-oriented learning, such as EPQ or scientific papers, to implement their research plans and participate in hands-on scientific research. Experimental reports can be considered as part of their research achievements.