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Faculty of Science Handbook, Academic Session 2025/2026




               record  a  reflection  of  their  experiences   SIT3005
               before, during and after the field  work at     TIME SERIES AND
               the community partner and to submit their       FORECASTING METHODS
               record with the group project report at the
               end  of  the  semester.  Students  are  also    Introduction to time series and forecasting.
               required to do a group presentation based       Time  series  graphics.  Simple  forecasting
               on the project.                                 methods. Transformation and adjustments.
                                                               Fitted  values,  residuals  and  prediction
               Assessment:                                     intervals.  Time  series  regression.  Time
               Continuous Assessment:100%                      series     decomposition.      Exponential
                                                               smoothing.  ARIMA  models.  ARCH  and
               SIT3003                                         GARCH models.
               COMPUTER INTENSIVE METHODS IN
               STATISTICS                                      Assessment:
                                                               Continuous Assessment: 40%
               Computer generation of uniform and non-         Summative Assessment: 60%
               uniform  random  variables.  Monte  Carlo
               evaluation of integrals. Variance reduction     SIT3008
               techniques.    Bootstrap   and    jackknife     INTRODUCTION TO SURVEY SAMPLING
               methods;  Applications  in  confidence
               interval construction. Maximum likelihood       This course focuses on statistical sampling
               estimation  of  model  parameters  via  the     methods with applications in the analysis of
               Expectation-Maximization  (EM)  algorithm.      sample survey data. The sampling methods
               The Markov Chain Monte Carlo method.            include simple random sampling, stratified
                                                               random sampling, systematic sampling and
               Assessment:                                     cluster sampling. Estimation of population
               Continuous Assessment: 40%                      parameters for different sampling methods
               Summative Assessment: 60%                       will  be  fully  discussed.  Special  estimation
                                                               techniques,  including  ratio  and  regression
               SIT3004                                         estimations,  will  be  introduced  in  the
               APPLIED STOCHASTIC                              context  of  simple  random  sampling  and
               PROCESSES                                       stratified  random  sampling.  Areas  of
                                                               application may include social science and
               Time  reversible  Markov  chains.  Poisson      official statistics.
               processes. Continuous-time Markov chains
               and  birth  and  death  processes.  Brownian    Assessment:
               motion.     Application    to    real-world     Continuous Assessment: 40%
               phenomena, such as in finance.                  Summative Assessment: 60%


               Assessment:                                     SIT3009
               Continuous Assessment: 40%                      STATISTICAL PROCESS
               Summative Assessment: 60%                       CONTROL


                                                               Methods  and  philosophy  of  statistical
                                                               process control. Control charts for variables
                                                               and  attributes.  Time-weighted  control
                                                               charts.    Process    capability   analysis.





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