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Faculty of Science Handbook, Academic Session  2024/2025




               SIM3023                        SIM3025
               NUMERICAL METHODS AND          SCIENTIFIC COMPUTING
               ANALYSIS
                                              Functions.  Data  structures.
               Approximation     methods:     Pointers/References.  Classes
               discrete,  linear  and  nonlinear   and objects.
               least   square,   orthogonal
               polynomials,    Chebyshev      Programmatic  modeling  and
               polynomials,   Gram-Schmidt    analysis  of  selected  problems
               process.                       from, but not limited to algebra,
                                              data  processing  and  analysis,
               Eigenvalue        problem:     dynamical   systems,   graph
               Gershgorin   circle,   power   theory,  interpolation,  linear
               method,       Householder’s    algebra,  linear  and  nonlinear
               methods, QR algorithm.         equations,    mathematical
                                              physics,   optimization,   and
               Initial   value   problems   of   statistics.
               ordinary  differential  equations:
               Euler,   high   order   Taylor,   Assessment:
               Runge-Kutta  and  multistep    Continuous Assessment: 50%
               methods.    Analysis    of     Final Examination: 50%
               convergence, stability and error
               control.
                                              SIM3026
               Assessment:                    PRODUCTION AND
               Continuous Assessment: 40%     INVENTORY CONTROL
               Final Examination: 60%
                                              Introduction
                                              The importance of inventory in
               SIM3024                        management.
               COMPUTATIONAL
               GEOMETRY                       Inventory model
                                              Advanced EOQ models.
               Vector algebra, introduction to   Inventory  model  for  time-
               differential geometry, design of   dependent   demand:   linear
               surfaces  for  Bezier  surfaces,   increase or decrease cases.
               triangular   Bezier   surfaces,   Solutions
               rational  B-splines  for  Bezier   Exact   and   approximate
               and Coons surfaces.            methods   by    minimizing
                                              ordering and holding costs.
               Assessment:
               Continuous Assessment: 40%     Applications
               Final Examination: 60%         Applications   to   real-world





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