Page 50 - Academic Handbook FKM 2017-2018
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multiple linear regression. The students are required   LO4  Develop  computational  code  for  numerical
                    to use SPSS and Minitab software to analyze and        methods.
                    interprete the real engineering data. Applications of   SYNOPSIS
                    statistics  in  engineering  are  also  explained  in  this   Topics  covered:  Errors;  Solution  of  Nonlinear
                    course.                                           Equations; Solution of Linear Systems; Interpolation
                    REFERENCES                                        and  Curve  Fitting;  Eigenvalues  and  Eigenvectors;
                    a.   Walpole,  R.E,  et  al,  2011,  Probability  &   Numerical  Differentiation;  Numerical  Integration;
                        Statistics for Engineers & Scientists, 9th Edition,   Solution of Ordinary Differential Equations; Solution
                        Pearson Prentice Hall.                        of  Partial  Differential  Equation;  Introduction  to
                    b.   Sara, S., et al, 2008, Introduction to Statistics   SCILAB  and  its  application  in  the  numerical
                        & probability A Study Guide, Pearson Prentice   computations.
                        Hall.                                         REFERENCES
                    c.   Hayter, A. J., 2012, Probability and Statistics   a.   Burden, R., Faires, J.D., 2011, Numerical
                        for  Engineers  and  Scientists,  4th  Edition,       Analysis,  9th  ed.,  USA:  Brooks/Cole,
                        Thomson Brooks/Cole.                                  Cengage Learning.
                    d.   Montgomery, D.C., 2011, Design & Analysis of     b.   Khoo,  C.F.,  2011,  Using  SCILAB  for
                        Experiments,  7th  Edition,  John  Wiley  &  Sons,    Numerical   Methods,   Module   in
                        Inc.                                                  preparation.
                    e.   Ledolter,  J.,  &  Hogg,  R.V.,  2010,  Applied   c.   Chapra,  S.C.,  Canale  R.P.,  2010,
                        Statistics  for\engineer  and  Physical  Scientists,   Numerical Methods for Engineers, 6th ed.,
                        3rd Edition. Pearson Prentice Hall.                   New York: McGraw-Hill.
                                                                          d.   Khoo, C.F., SharifahSakinah, S.A,  Zuraini,
                    BEKG 2452 NUMERICAL METHODS                               O., Lok Y. Y., 2009, Numerical Methods,
                    LEARNING OUTCOMES                                         3rd ed.,  Petaling Jaya: Pearson Prentice
                    At the end of the course, students should be able to:     Hall.
                    LO1  Identify  the  errors  exist  in  numerical      e.   Chapra  S.C.,  2008,  Applied  Numerical
                          computations.                                       Methods  with  Matlab  for  Engineers  and
                    LO2  Solve  the  mathematical  problems  by  using        Scientists, 2nd ed., New York: McGraw-
                          the numerical methods.                              Hill
                    LO3  Perform the given tasks that pertain to the
                          engineering   problems   by   using   the
                          knowledge of numerical methods.








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