Page 56 - PROSPECTUS FEA IT 17-18
P. 56

â—„Faculty of Economics and Administrationâ–ş



                                           EQC 7006 TIME SERIES ANALYSIS

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

                                              (1)  Describe  graphically  and  quantitatively  the  patterns  in
                                                   time series data;
                                              (2)  Develop forecasting models that incorporate correlated
                                                   error structures;
                                              (3)  Compare  the  forecasting  performance  of  the  different
                                                   models developed for a given set of data; and
                                              (4)  Explain  the  results  arising  from  the  application  of  time
                                                   series analysis in various fields.


                 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 Methods           Continuous Assessment:  50%
                                              Final Examination:  50%
                                                                                               nd
                 Main Reference               (1) Deibold  F.X.,  Elements  of  Forecasting,  4   Edition,
                                                  South-Western, Thomson Learning, 2007.
                                              (2) Shumway,  Robert  H,  David  S.  Stoffer.  Time  Series
                                                  Analysis  and  Its  Applications. With  R  Examples.    Third
                                                  Edition. New York: Springer, 2011.
                                              (3) Hyndman,  R.  J.  &  Athanasopoulos,  G.  Forecasting:
                                                  principles    and     practice.   OTexts.org,     2013.
                                                  https://www.otexts.org/fpp
                                              (4) Makridakis,  S.,  S.C.  Wheelwright  and  Hyndman.
                                                  Methods & Applications, New York: Wiley, 1998.
                                    EQC 7007 COMPUTER INFORMATION SYSTEMS
                 Learning Outcomes            At the end of the course, students are able to:

                                              (1)  Describe developmental issues in computer hardware,
                                                   software, and data resource management technologies;
                                              (2)  Identify business problems and opportunities that can
                                                   benefit from the application of information technology;
                                              (3)  Demonstrate the use of programming language in
                                                   solving business-related problems;
                                              (4)  Analyse case studies using computer applications.
                 Synopsis of Course           The course covers the role of information systems in helping
                 Contents                     businesses compete using technology. A brief introduction to
                                              information  technologies,  computer  hardware,  computer
                                              software,  and  data resource  management  is  provided.  The
                                              role  of  information  technology  and  computers  in  business
                                              and  society  are  emphasized.  At  the  end  of  the  course,
                                              student  is  able  to  use  computer-technology  as  a  tool  for
                                              productivity,  communications,  research,  problem  solving,
                                              and  decision  making  in  solving  various  business  related
                                              issues.

                 Assessment Methods           Continuous Assessment: 50%
                                              Final Examination: 50%







                                                            54
   51   52   53   54   55   56   57   58   59   60   61