Course List
MATH4063 Case Studies in Mathematical Modelling
数学建模案例分析
This course teaches students how mathematics interfaces with other disciplines. Real-life problems are solved using models in statistics, mathematics, and physics. The case studies and problem-based approaches are adopted. Programming abilities are very crucial to this course.
Check DetailsOR3003 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.
Check DetailsOR4003 Dynamic Programming Inventory Control
动态规划及库存控制
This is a continuation of OR3013 Linear Programming and Integer Programming. The course will introduce the basic and useful techniques in dynamic programming and inventory control. The course will be taught in a problem solving approach.
Check DetailsOR4013 Advanced Topics in Operations Research
高等运筹学选题
This is a continuation of OR3013 Linear Programming and Integer Programming, and OR4003 Dynamic Programming and Inventory Control. Some advanced topics will be introduced to those students who are interested in mathematical models arising from industrial and commercial applications.
Check DetailsOR4033 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.
Check DetailsSTAT3013 Life Contingencies
人寿偶然性
This course is a continuation of “Introduction to Actuarial Mathematics”. Mathematics of life contingencies as applied to insurance models including expenses, non-forfeiture benefits, dividends, and valuation theory for pension plans will be discussed.
Check DetailsSTAT3023 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.
Check DetailsSTAT3043 Data Analysis Using R
R 语言统计分析
The course covers computer programming and data analysis in R. The emphasis of the course will be on statistics analysis based on R language. This involves: (1) exploratory data analysis; (2) specification of models to explain the data; (3) estimation and evaluation of models; (4) forecasting from the model.
Check DetailsSTAT4003 Experimental Design
试验设计
This course stresses the theory and applications of experimental designs. Various kinds of experimental designs such as factorial design, uniform design and design of computer experiments will be introduced. Statistical analysis and model identification are taught by using a number of real-life examples.
Check DetailsSTAT4005 Final Year Project II (STAT)
毕业论文 II
Students will undertake an individual project under the supervision of a faculty member and gain the practical experience of applying statistics and mathematics principles and techniques acquired from the course to the solution of real-life problems. The project demands careful planning and creative application of underlying theories and enabling technologies. A thesis and an oral presentation are required upon successful completion of the project. This course is open to Statistics majors only.
Check DetailsSTAT4023 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.
Check DetailsSTAT4033 Structural Equation Modelling
结构方程建模
This course describes the logic underlying structural equation modelling (SEM) approach, also known as covariance structure analysis, and how SEM approaches relate to techniques like regression, path analysis, and factor analysis. We will analyse the strengths and shortcomings of SEM as compared to alternative methodologies, and explore the various methodologies for analysing structural equation data.
Check DetailsSTAT4053 Survival Analysis
生存分析
This course first presents parameterisations of survival distributions, in terms of hazard intensities, which lend themselves to the formulation of parametric models, including regression-type models which relate failure-time distributions to auxiliary biomedical predictors. The special features of truncation or censoring present unique challenges in the formulation of likelihoods and efficient estimation and testing in settings.
Check DetailsSTAT4073 Data Mining
数据挖掘
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.
Check DetailsSTAT4093 Applied Stochastic Process
应用随机过程
This course reviews basic probability theory and deals with major stochastic processes including Poisson processes, renewal theory, Markov Chains and continuous-time Markov Chains. Applications to inventory problems, equipment replacement policy and queuing theory are also dealt with through some examples
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