Page 110 - handbook 20152016
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Faculty of Science Handbook, Session 2015/2016


               Numerical Integration: Rectangular, trapezoidal, Simpson’s,   SIN2003     BASIC OPERATIONAL RESEARCH
               Romberg’s. Composite methods.
                                                               Introduction  to  the  problems  in  operational  research,
               System  of  linear  equations.  Matrix  factorization,  LU   modelling, formulation and examples. Linear programming,
               factorization.                                  transportation   and   assignment   problems.   Integer
                                                               programming, game theory and dynamic programming.
               Assessment
               Continuous Assessment:       40%                Assessment
               Final Examination:           60%                Continuous Assessment:       40%
                                                               Final Examination:           60%
               Medium of Instruction:
               Bahasa Malaysia/English                         Medium of Instruction:
                                                               English
               Humanity Skill:
               C3, TS2, CT3, LL2                               Humanity Skill:
                                                               CS3, CT3, LL2
               References:
               1.   Atkinson,  K.  E.  (1993),  Elementary  Numerical   References:
                                          nd
                   Analysis, John Wiley & Sons, (2  Ed.).      1.   H.A. Taha, Introduction to Operational Research, John
               2.   Burden,  R.  L.  &  Faires,  J.  D.  (2011),  Numerical   Wiley.
                                         th
                   Analysis, Brooks/Cole, USA, (7  Ed.).       2.   W.L. Winston, Operational Research: Applications and
               3.   Brian  Bradie,  (2006),  A  Friendly  Introduction  to   Algorithm, Duxbury Press, 1994.
                   Numerical Analysis, Pearson Education, New Jersey.   3.   F.S.  Hillier  and  G.J.  Lieberman,  McGraw-Hill
                                                                   International Edition, 2011
                                                               4.   B.  Van  Der  Veen,  Introduction  to  the  Theory  of
               SIN2002    STRUCTURED PROGRAMMING                   Operational  Research,  Cleaver-Hume  P.  London,
                                                                   1967.
               Algorithms: Structured programming  – sequence, decision
               and loops. Object-oriented design.
                                                               SIN2004   PARTIAL DIFFERENTIAL EQUATIONS
               C++  programming:  fundamental  data  types  –  int,  double,
               char. C++ operators, precedence. Pre-processor directives.   Fourier series. Introduction to partial differential equations,
               In-Built functions. User-defined functions  – pass by value,   Method  of  characteristic,  Separation  of  variables,  Laplace
               pass  by  reference.  One-dimensional  and  two-dimensional   transform method.
               arrays.
                                                               Assessment
               Introduction  to  user-defined  data  types  –  structures  and   Continuous Assessment:       40%
               classes.                                        Final Examination:           60%

               Applications  to  numerical  methods:  integer-  and  floating   Medium of Instruction:
               point arithmetic, root-finding, solution of ordinary differential   Bahasa Malaysia/English
               equations. Use of random number generators.
                                                               Humanity Skill:
               Assessment                                      CS3, CT3, LL2
               Continuous Assessment:       50%
               Final Examination:           50%                 References.
                                                               1.   D.G.  Zill  &  M.R.  Cullen,  Differential  Equations  with
               Medium of Instruction:                              Boundary-Value  Problems,  7th  Edition,  Brooks/Cole,
               English                                             2005
                                                               2.   E.  Kreyzig,  Advanced  Engineering  Mathematics,  9th
               Humanity Skill:                                     Edition, John Wiley & Sons, 2006
               CS3, CT3, LL2                                   3.   E.  Butkov,  Mathematical  Physics,  Addison-Wesley,
                                                                   1966
               References:                                     4.   R.K.  Nagle  &  E.B.  Saff,  Fundamentals  of  Differential
               1.  Programming with C++(2nd Ed.), John R. Hubbard,   Equations and Boundary Value Problems, 2nd Edition,
                  McGraw-Hill, (2000).                             Addison-Wesley, 1996
               2.  C++  program  design:  an  introduction  to  programming   5.   W.E.  Boyce  &  R.C.  DiPrima,  Elementary  Differential
                  and object-oriented design (3rd Ed.), James P. Cohoon   Equations and Boundary Value Problems, 8th Edition,
                  and Jack W. Davidson,   McGraw-Hill, (2002).     John Wiley & Sons, 2011
               3.  C++ How to program (4th Ed.), Harvey Deitel and Paul
                  Deitel, Pearson, (2003).
               4.  Problem  Solving,  abstraction  and  design  using  C++   SIN2005   SYSTEM  OF  ORDINARY  DIFFERENTIAL
                  (3rd  Ed.),  Frank  L.  Friedman  and  Elliot  B.  Koffman,   EQUATIONS
                  Addison-Wesley, (2011).
               5.  Numerical  Recipes  in  C++:  The  art  of  scientific   System  of  homogeneous  linear  first  order  differential
                  computing,  William  H.  Press,  Saul  A.  Teukolsky,   equations  with  constant  coefficients.  System  of  non
                  William T. Vetterling and Brian P. F  lannery,   homogeneous  linear  differential  equations.  Autonomous
                  Cambridge U. P., (2002).                     systems for linear and almost linear systems, and stability.
               6.  A  Survey  of  Computational  Physics:  Introductory   Liapunov’s method. Applications
                  Computational  Science.  Rubin  H.  Landau  (Princeton
                  Press) 2008                                  Assessment
               7.  Numerical   Analysis:   Mathematics   of   Scientific   Continuous Assessment:       40%
                  Computing, 3rd Edition David R. Kincaid and E. Ward   Final Examination:         60%
                  Cheney (2002)



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