STAT Course List

GCNU1003 Speaking of Statistics


This course provides students with an understanding of fundamental statistical techniques commonly used in social science, business, and science today. The emphasis is on statistical thinking, concepts and data analysis. Students are required to solve a variety of problems using statistical packages.

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STAT4033 Structural Equation Modelling


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.

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STAT2043 Structured Programming (for STAT Students)


This course introduces a methodical approach to programme development, starting from problem formulation and specification, through design of the solution, implementation, and documentation, to evaluation of the solution. The subject matter is taught through a high-level structured programming language. At present, C and MATLAB are used.

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STAT3003 Survey Sampling


Sample survey is a popular means for gauging opinions and views of a target population. It is widely used in many areas including behavioural sciences, biomedical sciences, social research, marketing research, financial and business services, public opinions on government policies, etc. However, improperly conducted surveys or inappropriate analyses of the results could lead to seriously wrong conclusions. This course equips students with a sound understanding of survey operations, sampling methods, questionnaire design and analysis of results.

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STAT4053 Survival Analysis


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.

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STAT4063 Time Series Analysis


This course provides students with sophisticated statistical techniques and models for analysing time series data. Using statistical packages, such as R and Matlab, as computational aid, students will learn to use the models for analysis and forecasting where the distributions of arrival-times and withdrawal-times are unknown and not parametrically modelled. This statistical topic has achieved great prominence in the theoretical statistical literature because it is a particularly good arena for the introduction of techniques of estimating and testing finite-dimensional parameter values – such as a treatment-effectiveness parameter in clinical studies – in the presence of infinite-dimensional unknown parameters. Such problems are referred to as semi-parametric.

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GCCH1003 University Chinese


This course aims to (1) help students to master advanced knowledge and skills in Chinese listening, speaking, reading and writing; (2) teach some of the advanced features of Chinese literature, and the interrelationship between literature, society and culture in ancient and contemporary China, and (3) develop students’ ability to analyse, evaluate and appreciate literary writings.

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