(Unless otherwise specified, all are 3-unit term courses of three hours of lecture and one hour of tutorial per week.)

STA0201
Workshop on Data Exploration and Technical Writing
3 U; 3 STOT
This course is designed to build students’ intuition upon data and fundamental principles of statistics, and to develop skills in technical writing. Students are required to take part in several term projects with emphasis on techniques of data exploration. (Prerequisite: STA2003 or consent of instructor.)

STA0301
Workshop on Data Analysis and Statistical Computing
3 U; 3 STOT; 1st term
This course is designed to strengthen students’ ability in statistical computing as well as in processing and analysing data. Students are required to participate in several term projects with emphasis on techniques of data management and analysis. (Prerequisite: STA0201 or consent of instructor.)

STA0303
Case Studies for Business Applications
3 U; 3 STOT; 2nd term
This course is designed to enlighten students with a more comprehensive and in-depth understanding of business statistics through studying example cases. Students are required to carry out several term projects with emphasis on statistical applications in business. (Prerequisite: STA0301 or consent of instructor.)

STA0401
Statistics Project
3 U; 3 STOT; 1st term
This course is designed to enhance students’ competence in integrating and applying statistical techniques in a practical manner. Students are required to conduct several term projects with emphasis on applications. (Prerequisite: STA0301 or consent of instructor.)

STA1310
Computer Interactive Statistics
This course is specially designed for students with a six-year secondary school education background or students who are not trained under Hong Kong high school education system, such as students who have completed their secondary school in mainland China. Students will learn the basic concepts of statistics, so that they will be equipped to read statistical reports and recognize when the quantitative information being presented is accurate or misleading. They will also learn about organizing and displaying graphical and numerical summaries of data, and drawing conclusions from them. The course uses computer interactive techniques, instead of tedious arithmetic calculations, to introduce simple but powerful statistical concepts. Topics include exploratory data analysis, statistical graphics, sampling variability, point and confidence interval estimation, hypothesis testing, as well as other selected topics. The course does not require background on calculus.

STA2001
Basic Concepts in Statistics and Probability I
3 U; 3 Lect. 1 Tut.; 1st term
This course is designed to study the basic concepts of probability and statistics. Topics include elementary probability, Bayes theorem, random variables, distribution and density functions, mathematical expectation, conditional distribution, stochastic independence, correlation, special univariate and multivariate distributions, transformation of random variables, sampling distributions, law of large number, moment generating function and central limit theorem.

STA2003
Computer-aided Statistical Reasoning
1st term
The objective of this course is to help students develop their abilities to judge correctly under uncertainty. The focus of the course is on statistical reasoning. Statistical packages such as Minitab will be used throughout the course for computation and demonstration purposes. Descriptive statistics and statistical graphics will be covered. Important concepts underlying statistical estimation and hypothesis testing will be elucidated and demonstrated using simulation techniques. (For Statistics Majors only or consent of instructor.)

STA2004
SAS for Data Management
2nd term
This course aims at familiarizing students with the capabilities of the Base SAS software for data management. Students will learn SAS programming with emphasis on data storage, data retrieval, data manipulation, data transformation, descriptive analysis, sorting, files merging, file updating, random sampling and data reporting. (For Statistics Majors only or consent of instructor.)

STA2006
Basic Concepts in Statistics and Probability II
3 U; 3 Lect. 1 Tut.; 2nd term
This course covers basic theories in estimation and testing. Topics include point estimation, interval estimation, unbiasedness, maximum likelihood estimation, hypothesis testing and likelihood ratio test. (Prerequisite: STA2001 or consent of instructor.)

STA2007
Mathematics with Applications in Statistics I
1st term
This course introduces the mathematical background knowledge for statistics. Topics include vector spaces, basic operations on matrices, simultaneous linear equations, functions, limits, differentiation, integration, Cauchy-Schwarz inequality and infinite series. (For Statistics Majors only or consent of instructor.)

STA2008
Mathematics with Applications in Statistics II
2nd term
This course provides mathematical tools useful in statistics. Topics include eigenvalues, special matrices (partitioned matrices, idempotent matrices, nonnegative definite matrices, etc.), singular value decomposition, multidimensional calculus, Lagrange multipliers, elementary differential and difference equations, parabolic partial differential equations, and Laplace transform. (For Statistics Majors only or consent of instructor.)

STA2009
Introduction to Programming Language for Statistics  
This course aims at providing students with basic knowledge of high level programming languages such as C and S-plus. A problem-solving approach will be employed. Algorithm development and implementation with emphasis on examples and applications in statistics will be discussed.

STA2101
Basic Statistical Concepts and Methods I
1st term
This course introduces basic statistical methods with applications in experimental sciences. Topics include descriptive statistics, the concepts of population and sample, random sampling, basic distributions, point and confidence interval estimations, hypothesis testing and analysis of variance for designed experiments. Topics and examples in relation to correlation, regression, curve-fitting, Hardy-Weinberg equilibrium and Linkage equilibrium will be selected and discussed. The use of related statistical packages will be demonstrated. (Not for Statistics Majors.)

STA2102
Basic Statistical Concepts and Methods II
2nd term
This course offers basic concepts of statistics. Topics include elementary probability, Bayes Theorem, random variables, distribution and density functions, discrete and continuous distributions, sampling distributions, and elementary concepts of estimation and hypothesis testing. (Not for Statistics Majors.)

STA2103
Statistics in Modern Society
3 U; 3 Lect.
This course is designed for students who are interested in the applications of statistical methods to real life situations such as opinion polls, clinical trials, gambling and public policy. The objective of the course is to help students become statistically literate and discover the power of statistics and its growing importance in modern society. (Not for Statistics Majors or students who have taken UGB247N.)

STA2104
Statistical Reasoning: A Web-based Experience
3 U; 3 Lect.
Statistics, especially survey data, are frequently misused and misinterpreted. The aim of this course is to equip students with critical perspectives to scrutinize statistical works. The main objectives are as follows: 1) to investigate the role of common sense in understanding statistics; 2) to discuss important features in survey sampling, including sampling schemes and questionnaire design; 3) to introduce the art of data presentation, including popular graphical techniques and statistical report writing; and 4) to examine interesting case studies from typical classes of surveys such as opinion polls and marketing surveys. The pros and cons of using Internet as a means for survey will also be explored. (Not for Statistics Majors or students who have taken UGB252N.)

STA3001
Foundation of Financial and Managerial Statistics
This course presents an overview of statistical techniques that lay the foundation for effective applications of statistics in the context of business administration. It covers financial management techniques including investment appraisal, portfolio management, and models for assessing stock prices; as well as management techniques including decision analysis under uncertainty, project management, construction and usage of indices, and official statistics in Hong Kong. Selected topics in relation to the applications of multivariate techniques in marketing management will be discussed.

STA3002
Experimental Design
This course is designed to study various statistical aspects of models in the analysis of variance. Topics include randomization, replication and blocking, randomized blocks, Latin squares and related designs, missing values, incomplete block designs, factorial designs, nested designs and nested-factorial designs, and 2k factorial designs. The use of related statistical packages will be demonstrated.

STA3003
Survey Methods
This course focuses on the sample design, data analysis and interpretation of survey data. The basic sampling methods covered include simple random sampling, stratified random sampling, clustering sampling, subsampling and double sampling. The underlying method of parameter estimation will be fully discussed for simple random sampling and stratified random sampling. Special estimation techniques including ratio and regression estimations will be introduced in the context of simple random sampling. Analytic treatment of sample size determination, questionnaire design, problem of nonresponse and nonsampling errors will be discussed.

STA3004
Basic Methods in Biomedical Statistics 
This course explores some statistical methods in epidemiological research. Topics are selected from case-control studies, cross-sectional studies, relative risk and odds ratio, attributable risk, matched samples, logistic regression, life-table data analysis, Kaplan-Meier estimates, diagnostic tests, combining evidence from fourfold tables, effects of misclassification errors and agreement among observers.

STA3005
Applied Nonparametric Statistics
Nonparametric testing and estimation procedures are introduced. Topics include one sample location problem, two sample location problem, two sample dispersion problem, one-way layout, two-way layout, independence problem and regression problems.

STA3006
Statistical Computing  
This course is concerned with the computational aspects of various statistical techniques. Topics include matrix computations, computational methods in multiple linear regression and ANOVA, nonlinear regression and optimization. Prerequisite: CSC 1110 or 1500 or STA 2009.

STA3007
Applied Probability
This course deals with applied probability and stochastic models with application in industry, engineering and management science. Topics include discrete and continuous time Markov chain, Poisson process, queueing theory, renewal process, replacement problem and elementary reliability theory.

STA3008
Applied Regression Analysis
3 U; 3 Lect. 1 Tut.
This course introduces the general methodology in regression analysis. Topics include least squares method in simple and multiple regression, weighted least squares, diagnostic checkings, variables selection, dummy variables and multicollinearity. A laboratory section will be held to demonstrate the use of related statistical packages and provide students opportunities for hands-on practices.

STA3210
Statistical Techniques in Life Sciences
3 U; 3 Lect. 1 Tut.
This course introduces statistical techniques commonly used in life sciences. Topics include descriptive statistics, parameter estimation, hypothesis testing for population proportions and population means, contingency table analysis, correlation and linear regression, logistic regression, survival analysis, and study designs. (Not for students who have taken STA3004.)

STA4002
Multivariate Techniques with Business Applications
This course deals with major multivariate statistical techniques and their applications in business. Topics are selected from multivariate normal distribution, analysis of means, profile analysis, MANOVA, partial correlation, multiple and canonical correlations, discriminant analysis and principal components. The integrated use of these techniques in analysing business problems will be emphasized throughout the course.

STA4003
Statistical Inference
This course provides an introduction to statistical inference. Topics include statistical models, sampling distributions, asymptotic distributions, sufficiency, maximum likelihood estimation, Bayesian estimation, Rao-Blackwell theorem, Cramér-Rao theorem and the best unbiased estimator, Neyman-Pearson lemma, uniformly most powerful test and general likelihood ratio test.

STA4004
Actuarial Science
This course covers the basic principles of life contingencies, which is a science for life insurance. Topics include life tables, annuities, assurances, net and gross premiums, reserve, and multiple life theory.

STA4005
Time Series  
This course deals with time series with applications. Fundamental concepts of time series such as trends, stationary process, ARIMA process, model building (including parameter estimation, order determination and diagnostic checking), forecasting and seasonal models, ARCH and GARCH models will be covered. The use of related statistical packages will be demonstrated.

STA4006
Categorical Data Analysis
This course deals with major statistical techniques in analysing categorical data. Topics include measures of association, inference for two-way contingency tables, loglinear models, logit models and models for ordinal variables. The use of related statistical packages will be demonstrated.

STA4007
Statistical Quality Control
This course deals with the application of statistical techniques to problems associated with the quality of a product which is produced in large numbers. It covers acceptance sampling plans by attributes, acceptance sampling plans by variables, rectifying inspection, control charts for attributes, and control charts for variables.

STA4008
Survival Modelling
This course focuses on the modelling of survival data and its applications in actuarial and medical sciences. It covers basic concepts of lifetime distribution, various types of censoring, and methods to analyze censored data using non-parametric, parametric and semi-parametric models. Emphases are on the construction of the likelihood functions, parameter estimation and hypothesis testing.

STA4009
Workshop on Marketing Survey
This course adopts a workshop approach that scrutinizes the process of marketing surveys. Group projects will be the major ingredients of the course that familiarize students with the entire survey process from problem formulation to report writing. Internet surveys will also be included. Interesting case studies will be presented and discussed.

RMS0401  (Course offered in 2005-06 and before)
Special Topics in Risk Management
1 U
This course introduces current issues and special topics in risk management. This is a student orientated
course and students are required to read books and articles in the related topics
assigned by the instructor. (For Risk Management Science Majors only.)

RMS2001
Introduction to Risk Management
1st or 2nd term
This course aims at providing a focused introduction to various concepts of risk and risk measures from a scientific perspective. The course will discuss the various roles that risk plays in insurance and financial applications. Current risk measures such as value at risk and shortfall risk will be introduced. These measures will be calculated for recent financial losses to illustrate their usefulness in risk management.

RMS2101
Special Topics in Risk Management I
1 U
This is an elementary course aiming at introducing current issues and special topics in risk management. Students are required to read books and articles in the related topics assigned by the instructor. (For Risk Management Science Majors only or consent of instructor.)

RMS3101
Special Topics in Risk Management II
1 U
This is an intermediate course aiming at introducing current issues and special topics in risk management. Students are required to read books and articles in the related topics assigned by the instructor. (For Risk Management Science Majors only or consent of instructor.)

RMS4001
Simulation Methods for Risk Management Science and Finance
This course starts with presenting standard topics in simulation including random variable generations, variance reduction methods and statistical analysis of simulation outputs. The course then reviews the applications of these methods to derivative security pricing. Topics addressed include: importance sampling, martingale control variables, stratification and the estimation of derivatives. Additional topics include the use of low discrepancy sequence (quasi-random numbers), pricing American options and scenario simulation for risk management. Prerequisite: RMS2001 or consent of instructor.

RMS4002
Data Analysis in Finance and Risk Management Science
This course covers modern data analysis techniques that are commonly used in financial and risk management. Topics covered include: applications of multivariate techniques such as principal component and canonical correlation to asset management, Kalman filter and time series methods in term-structure analysis, and data mining methods such as modern nonlinear regression and classification tree methods in finance. Prerequisite: RMS2001 or consent of instructor.

RMS4003
Statistical Modelling in Financial Markets
This course is designed to introduce the current developments in risk management in the financial markets. Risk management ideas associated with three general important areas in finance will be discussed: asset management, derivative pricing, and fixed income models. Emphasis will be placed on the statistical modelling aspects on some of the commonly used models in these areas. Prerequisite: RMS2001 or consent of instructor.

RMS4004
Theory of Risk and Insurance
This course covers the theory of risk and its applications to insurance. Topics include classical and stochastic risk models, ruin theory, claims modelling and evaluations, risk premium pricing, loss distributions and methods for pension schemes. Prerequisite: STA3007 or consent of instructor.

RMS4005
Stochastic Calculus for Finance and Risk
This course starts with the introduction of the concepts of arbitrage and risk-neutral pricing. It then proceeds to discuss the stochastic calculus foundations for continuous-time finance models. Topics include Brownian motion, stochastic integral, Itô's formula, Girsanov's change of measure, and the relationship between stochastic calculus and partial differential equations. Examples will be taken from equity options, including the Black-Scholes formula for foreign exchange and term-structure models. Prerequisites: RMS2001 and STA3007 or consent of instructor.

RMS4007
Risk Management with Derivatives Concepts
This course aims at understanding the application of derivatives theories for the practical risk management. It starts by reviewing basic concepts of pricing and hedging derivatives, like risk-neutral valuation, arbitrage strategies, hedging strategies, implied volatilities and the Greeks. The Value-at-Risk framework for derivatives positions is discussed. Student will also learn how to apply option theoretic approach to credit risk management. Specifically, the capital structure model will be applied to measure the default probability. The Moody’s KMV methodology and CreditRisk+ are introduced. Prerequisites: RMS2001 and 4003. (For Risk Management Science Majors only or consent of instructor.)

RMS4101
Special Topics in Risk Management III
1 U
This is an advanced course aiming at introducing current issues and special topics in risk management. Students are required to read books and articles in the related topics assigned by the instructor. (For Risk Management Science Majors only or consent of instructor.)