Page 57 - PROSPECTUS FEA IT 17-18

◄Faculty of Economics and Administration►

Main Reference (1) Kenneth C. Laudon and Jane P. Laudon (2012),
Management Information Systems: Managing the Digital
Firm, Person Education Limited.
(2) Alain F. Zuur et al. (2009), A Beginner’s Guide to R,
Springer.
(3) Michael J. Crawley (2007), The R Book, Wiley.
EQC 7008 EXPERIMENTAL DESIGN
Learning Outcomes At the end of the course, students are able to:
(1) Apply the basic principles in designing experiments;
(2) Implement an appropriate experimental design;
(3) Conduct the experiment with ethical consideration; and
(4) Perform the results of experiments for decision making.

Synopsis of Course This course equips students with the necessary skills for
Contents designing various experiments and analyzing the results of
such experiments. The topics covered include Principles of
Experimental Design, Multiple Comparison Methods,
Orthogonality, Two-factor Cross-Classification Designs,
Nested Designs, Latin-Square, Two-level Factorial Designs,
Confounding/Blocking, Fractional-Factorial Designs, Designs
with Factors at Three Levels.
Assessment Continuous Assessment: 50%
Final Examination: 50%

Main Reference (1) Montgomery, Douglas C. Design and Analysis of
Experiments. 8 Edition, John Wiley & Sons, Inc., 2012.
th
(2) Berger, P.D. and Maurer, R.E. Experimental Design with
Applications in Management, Engineering, and the
Sciences. Duxbury Press, 2002.

EQC 7009 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) Explain the results arising from the application of these
techniques in medicine and social science.
Synopsis of Course This course covers the applications of statistical methods to
Contents 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%
Main Reference (1) McNeil D, Epidemiological Research Methods. Wiley,
1996.
(2) Hosmer D. W. and Lemeshow S, Applied Logistic
rd
Regression. Wiley, 3 Edition, 2013.
(3) Hosmer D. W. And Lemeshow S, Applied Survival
Analysis: Regression Modeling of Time to Event Data.
nd
2 Edt. Wiley, 2008.
(4) Cox DR, Analysis of Binary Data. Chapman and Hall,
1994.
(5) Johnson RE and Johnson NL, Survival Models and Data
Analysis. Wiley, 1999.
(6) Rosner B, Fundamentals of Biostatistics. Duxbury, 5
th

55