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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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