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◄Faculty of Economics and Administration►

Methods & Applications, New York : Wiley, 1998.
(4) Box, G.E.P., Jenkins, G.M., & Reinsel, G.C. (1994).
Time series analysis -- Forecasting and control. 3rd
edition. Englewood Cliffs, NJ: Prentice Hall.

ESGC6181 RESEARCH PAPER

Learning Outcomes At the end of the course, students are able to:

(1) Formulate a research question;
(2) Integrate information from the relevant literature;
(3) Design a research framework;
(4) Analyze the information/data collected using statistical
techniques and appropriate software;
(5) Assess the significance and implications of research
findings;
(6) Adopt ethical practices in the conduct of research;
and
(7) Write a research report.
Synopsis of Course The course is designed to train students in conducting a
Contents research in statistics and writing a statistical research
paper. Students are guided by at least one supervisor from
the development of a research project to preparation of the
report. The stages include identification of a research
question, designing a study, literature review (analysis,
synthesis and criticism of current research and theory),
data collection, data analysis, analysis of the findings to
answer the research questions, and drawing appropriate
conclusions.
Assessment Methods The Research Paper is examined by the Supervisor(s) and
an appointed Examiner. The marks given by the
Supervisor(s) and Examiner carry equal weight. Total mark
is 100%.

ESGC6316 BIOSTATISTICS

Learning Outcomes At the end of this course, students are able to:

(1) Apply techniques that are appropriate for analyzing
categorical data;
(2) Apply techniques that are appropriate for analyzing
the time to the occurrence of an event;
(3) Evaluate the results arising from the application of
these techniques in medicine and social science;
(4) Conduct analysis using appropriate software; and
(5) Communicate the findings effectively.
Synopsis of Course This course covers the applications of statistical methods
Contents to problems in medicine and social science. Topics
covered include analysis of categorical data, logistic
regression and survival analysis.
Assessment Continuous Assessment: 50%
Final Examination: 50%

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