MEP 202 NUMERICAL METHODS
This course is designed to introduce practicing  scientist and engineers to the fundamental principles of modern numerical  analysis and to key numerical methods for the computer solution of a variety of  mathematical problems in engineering and sciences.  Numerical methods is applicable in a  very wide range of subject areas.   Indeed, whenever a mathematical problem is encountered which cannot  readily be solved by traditional mathematical analysis, then a numerical method  is usually sought and a numerical analysis is carried out.
Course Description
Various numerical methods and techniques, including  classical as well as recently developed numerical techniques for the solution of  mathematical problems in engineering and sciences will be considered.  Emphasis is placed on understanding why  numerical methods work and their limitations.  A mathematical derivation of each method  is given and some essential theoretical properties of these methods will be  studied in more detail,  including  error analysis.  The students who  take this course should have a very good and stable knowledge of single and  multivariable calculus, linear algebra and be familiar with basic facts from  functional, real and complex analysis analysis and the theory of ordinary and  partial differential equations.  The  students are required to do computing projects in addition to theoretical  homework problems.  As a  prerequisite, an ability to program in any structured programming  language.
General Objectives
Upon completion of the course the students should be  able to:
discuss the mathematical derivation of the numerical  methods included in this course,
develop algorithms for the different numerical  methods and implement these in a computer,
estimate and discuss truncation and round-off errors  of the different numerical methods,
be able to recommend an appropriate numerical method  for a given mathematical problem,
be able to discuss speed, accuracy, convergence and  divergence of the numerical methods
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