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◄Faculty of Economics and Administration►

Synopsis of Course The course covers the role of information systems in
Contents helping businesses compete using technology. A brief
introduction to information technologies, computer
hardware, computer software, data resource management
and telecommunication networks is provided. Various
business applications such as electronic business systems,
electronic commerce systems and decision support
systems are covered. The processes involved in developing
e-business solutions are discussed. Finally, the course also
examines the challenges for management, including
security and ethics of e-business, and enterprise and global
management of e-business technology.
Assessment Continuous Assessment: 50%
Final Examination: 50%
Main Reference (1) Management Information Systems, James A. O’Brien,
McGraw Hill, 2002.
(2) Access 2003, P. Sellappan, Venton, 2007.
(3) Visual Basic 6 Programming, P. Sellappan, Venton,
2006.
ESGC6115 TIME SERIES ANALYSIS

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

(1) Describe graphically and summarize quantitatively the
patterns in time series data;
(2) Develop forecasting models that incorporate correlated
error structures;
(3) Assess the forecasting performance of the different
models developed for a given set of data;
(4) Evaluate the results arising from the application of time
series analysis in business, finance and economics;
and
(5) Communicate the findings effectively.

Synopsis of Course This course exposes students to the study of time series
Contents data. It focuses on the use of statistical models (such as
classical decomposition, exponential smoothing, least
squares, ARIMA) for forecasting. Students learn to assess
and select an appropriate model from among different
possible models for a given set of data. The use of
statistical software to analyse data ensures that the
students learn the nuances of modelling correlated error
structures.
Assessment Continuous Assessment: 50%
Final Examination: 50%
Main Reference Text :
Diebold, Francis X. (2007) Elements of Forecasting. South
Western: Cincinnati, Oh. 4th Edn.

Other References:
(1) Shumway, Robert H, David S. Stoffer (2006). Time
Series Analysis and Its Applications. With R Examples.
Second Edition. New York: Springer.
(2) Wilson, J. Holton and Barry Keating (2004) Business
Forecasting. New York: McGraw Hill.
(3) Makridakis, S., S.C. Wheelwright and Hyndman.

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