Page 38 - Handbook PG 20182019
P. 38

Faculty of Science Postgraduate Booklet, Session 2018/2019

               Humanity Skill:
               CT5, TS5, LL2, LS3

               References:
                   1.  Rotar, V. I. (1997). Probability Theory. World Scientific.
                   2.  Karr, A. F. (1993). Probability, Springer – Verlag.
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                   3.  Ross, S. M. (2006). Introduction to Probability Models. 9  Ed., Academic Press.
                   4.  Bhattarcharya, R. (2007). A Basic Course on Probability Theory, Springer.
                   5.  Borovkov, A. A. (2013). Probability Theory. Springer.


               SQB7005 Statistical Laboratory

               Introduce  statistical  packages  such  as  S-PLUS,  Minitab,  SPSS  and/or  R.  Use  of  functions  and
               commands in statistical packages for exploratory data analysis, modelling and statistical inferences.
               Coding in a statistical programming language.

               Assessment Methods:
               Continuous Assessment 50%
               Final Examination 50%

               Medium of Instruction:
               English

               Transferable Skills:
               Programming skills

               Humanity Skill:
               CS5, CT4, TS3, EM3

               References:
                   1.  TIBCO Spotfire S+ 8.1 for Windows User’s Guide, Insightful (2008).
                   2.  Chambers, J.M. et al. (1983). Graphical Methods for Data Analysis. Chapman and Hall.
                   3.  Venables, W.N. and Ripley, B.D. (2002). Modern Applied Statistics with S. Springer-Verlag.
                   4.  Esbensen, K.H. (2009). Multivariate Data Analysis – in Practice. CAMO.
                   5.  Cornillon, P.-A. et al. (2012). R for Statistics. CRC Press.


               SQB7006 Statistical Consultancy and Data Analysis

               Introduction to consulting methods. Related problems and issues. Exposure to the use of secondary
               data from various sources. Application of suitable statistical methods such as analysis of multivariate
               data, regression and time series in the analysis of real data. Producing reports and presenting the
               findings that are suitable for the needs of the statistical practitioners. Introduction to consultancy
               activities.

               Assessment Methods:
               Continuous Assessment 100%

               Medium of Instruction:
               English


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