大数据:数学建模

Big Data: Mathematical Modelling

Learn how to apply selected mathematical modelling methods to analyse big data in this free online course.

昆士兰科技大学

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大数据:数学建模
  • 分类: 计算机
  • 平台: FutureLearn
  • 语言: 英语

课程概况

Have you ever wondered how mathematics can be used to solve big data problems? This course will show you how.

Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analysing large datasets.

Learn how maths underpins big data analysis

We will begin by explaining how maths underpins many of the tools that are used to manage and analyse big data. We will show you how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools.

We will then proceed to introduce three such tools, based on a linear algebra framework. These tools and the problems that they address are:

eigenvalues and eigenvectors for ranking
graph Laplacian for clustering
singular value decomposition for data compression.

Develop your analysis skills with big data case studies

We will show you how these methods can be applied to a variety of case studies, including ranking websites, profiling leukaemia patients, taking selfies, and so on.

Our hands-on approach will allow you to develop your analytic skills using self-contained datasets, deepen your understanding of the underlying mathematical methods, and explore how these methods can be applied to big data in your area.

More courses in the Big Data series

This is the third in a series of four short courses from the ARC Centre of Excellence for Mathematical and Statistical Frontiers at Queensland University of Technology (QUT).

You can also join the other three courses in the series:

From Data to Decisions
Statistical Inference and Machine Learning
Data Visualisation

先修要求

This course is designed for anyone looking to add mathematical methods for data analytics to their skill set.

We provide a multi-layered approach, so you can learn about the methods even if you don’t have a strong maths background, but we provide further information for those with a sound knowledge of first or second year undergraduate mathematics.

We will assume basic MATLAB (or other) programming skills for some of the practical exercises.

MathWorks will provide you with free access to MATLAB Online for the duration of the course so you can complete the programming exercises. Visit the MATLAB Online website to ensure your system meets the minimum requirements.

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