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Practical Numerical Methods in Computer Engineering

This course covers the fundamental concepts of numerical methods and their application to practical engineering problems using software like MATLAB and Microsoft Excel. Topics include error analysis, solving nonlinear functions and equations, curve fitting, and optimization.

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Practical Numerical Methods in Computer Engineering

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  1. Numerical Methods for Computer Engineering (241-310) Assoc. Prof. Mitchai Chongcheawchamnan

  2. Objectives • Understand the fundamental concept of numerical method • Know the significances and impacts of applying numerical method to practical problems • Be able to apply numerical methods in practice

  3. Course descriptions • Introduction to software used for problem solving (MATLAB/Microsoft Excel) • Modeling and engineering problem solving • Errors in numerical method and their effect • Solving nonlinear function • Solving linear equation and nonlinear equation system • Curve fitting • Optimization

  4. Learning outcomes • Ethics/responsibility/accountability • Wisdom • Communication skill • Knowledge

  5. How to evaluate learning outcomes • Submission assignment/examination paper • Assignment/examination paper • Assignment/class participation • Assignment/examination paper

  6. Marking plan Class participation 5 % Project based assignments 30% Midterm 30% Final examination 35%

  7. References [1] S. C. Chapra and R. P. Canale, Numerical Methods for Engineers with Software and Programming Applications (International edition), 4th ed.,McGraw-Hill Higher Education, 2002. [2] S. L. Campbell, J-P Chancelier and R. Nikoukhah, Modeling and Simulation in Scilab/Scicos, Springer Science and Business Media, Inc, 2006. [3] S.C Chapra, Applied Numerical Methods with MATLAB, McGraw-Hill, 2nd, 2008. [4] Mathworks, MATLAB Users’s Guide [5] Microsoft Excel User’s Guide

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