Statistics

This course provides research training for exchange students. Students work on a research project under the guidance of assigned faculty members. Through a full-time commitment, students improve their research skills by participating in the different phases of research, including development of research plans, proposals, data analysis, and presentation of research results. A pass/no pass grade is assigned based a progress report, self-evaluation, midterm report, presentation, and final report.

This course gives an introduction to the design of sample surveys and estimation procedures, with emphasis on practical applications in survey sampling. Topics include planning of surveys, questionnaire construction, methods of data collection, fieldwork procedures, sources of errors, basic ideas of sampling, simple random sampling, stratified, systematic, replicated, cluster and quota sampling, sample size determination, and cost. This course is targeted at students who are interested in Statistics and are able to meet the pre-requisites.

The course equips students with the skills to be able to design, carry out, report, read, and evaluate qualitative research projects. It is taught by qualitative research experts who have experience of using the methods they teach. It covers the full cycle of a qualitative research project: design, data collection, analysis, reporting, and dissemination. Students gain a conceptual understanding of current academic debates regarding different methods, and the practical skills to put those methods into practice.

The purpose of this course is to introduce the basic principles of statistics and its application. The course focuses on introducing and proving the basic theorem of statistics, statistical data processing and computer software applications, and the interpretation of statistical analysis.

The undergraduate research program places students in research opportunites to conduct indpendent research under the supervision of a Chinese University of Hong Kong faculty. Students are expected to spend approximately 15 to 20 hours per week in independent research as well as attend lectures and labs.

This course examines the statistics of investment risk. It covers statistical modelling techniques which provide a rational framework for investment decisions, particularly those relating to stock markets and the markets for interest rates, commodities and currencies.