STAT Course List

MATH1063 Linear Algebra II

线性代数 II

This course introduces the basic techniques in matrix algebra, which is the foundation for more advanced mathematics and statistics subjects. Major emphasis will be on the system of linear equations, linearly independence, and eigenvalue problems in finite dimensional vector spaces. Basic ideas and techniques on calculus will be introduced.

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OR3013 Linear Programming and Integer Programming

线性规划和整数规划

To introduce fundamental theory, techniques and algorithms for linear programming and integer programming problems. It addresses both the basic as well as advanced topics in linear programming and integer programming. Several software packages will be also introduced.

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OR3003 Logistics

物流学

To provide an understanding of major areas in Logistics as well as to illustrate how to apply various skills and techniques in Logistics to solve and analyse various real problems. The emphasis will be on learning various models and techniques in Logistics. Many practical application models will be discussed and analysed.

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STAT4023 Loss Models

损失模型

This course covers basic probability, generating functions, theory of recurrent events, Markov chains and Markov processes. It develops and analyses models for fixed time intervals; covers models for claim severities, models for claim frequencies, aggregate claims models and ruin theory. This course is of interest to advance actuarial science students and statistics students.

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GCNU1023 Mathematics Around Us

生活中的数学

This course stresses the prevalence, relevance, and practicality of mathematics in the modern society especially in the context of planning and scheduling in management science, and issues concerning social choice and decision-making. Numerous real world examples are discussed. The mathematical techniques involved are taught through hands-on applications

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STAT4013 Multivariate Analysis

多元统计分析

This course provides an understanding of classical multivariate analysis and modern techniques in data mining which are useful for analysing both designed experiments and observational studies. Real data in social, life, and natural sciences are analysed using statistical packages such as R or Matlab.

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OR4033 Network and Transportation Models

网络及运输模型

This is a continuation of OR3013 Linear Programming and Integer Programming. Some basic topics related to networks will be introduced in this course. This course will be taught in a practical-oriented approach.

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MATH4053 Numerical Methods

计算方法

This course teaches the ideas underlying commonly used numerical methods. It highlights important considerations in coding algorithms so that they are efficient and reliable. It teaches students how to choose an appropriate numerical method for a particular problem and to interpret the resulting output

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OR4023 Optimization

最优化方法

This course introduces the fundamental theory and techniques for both unconstrained and constrained optimization. There will be an overview of the existing numerical software packages. Finally some interdisciplinary techniques and applications related to optimization will be discussed.

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STAT3023 Quality Control - Six Sigma

质量控制-六西格码

In this information age much data are collected, but less often analysed. This course covers methods for gleaning useful information for large data sets. These methods may be used to help improve product marketing, increase operational efficiency and discover new knowledge.

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COMP4153 Quantum Finance and Intelligent Financial Trading Systems

量子金融和智能金融交易系统

With the exponential growth of program trading in worldwide financial industry, Quantum Finance and its underlying technologies including quantum field theory and chaos theory become one of the hottest topics in the Fintech community. Many worldwide financial institutions and fund houses have the needs to recruit computer professionals with basic knowledge on quantum finance to develop intelligent financial systems. The objective of this course is to teach students the basic knowledge of quantum finance and its underlying theories and technologies including quantum field theory, chaos theory and chaotic neural networks and how to apply these technologies to finance industry to develop intelligent financial prediction and trading systems.

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MATH4013 Real Analysis

实变分析

This course provides an introduction to measure theory, Lebesgue integration, LP space, and Fourier analysis. Equipped with this knowledge, students are prepared for further studies in numerical analysis, functional analysis and advanced probability theory.

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STAT2013 Regression Analysis

回归分析

This course introduces the theory of regression analysis and techniques in data analysis. It will emphasise on recent developments in the regression analysis such as statistical diagnostics and nonlinear regression; and to motivate students to analyse multivariate data with the help of statistical packages such as MATLAB, R or SPSS.

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GCCH1023 Selected Themes in Chinese History and Civilisation

中国历史与文明专题

This course aims to provide students with (1) knowledge on the various aspects of China’s unique cultural qualities and achievements from past to present; (2) a rich vocabulary for them to be able to illustrate the historical eras of Chinese civilization; (3) the ability to critically analyse various cultural phenomena by looking at a wide spectrum of traditional Chinese ways of life; and (4) the awareness, interests and curiosities in Chinese history and civilization from a cultural perspective.

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OR3023 Simulation

随机模拟

To introduce the basic computer simulation in various discrete systems. The aim is to model and simulate various practical systems in financial, transportation, and commercial applications. This course covers the basic concepts, models and computer software in simulating practical discrete systems.

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