MAJOR PROJECT for KQ3013

This is an individual project. All students have to produce a comprehensive reasonable length of report with good references. Discuss in great detail the given title, complete with application of your own chosen problem.

Computer programming is a must. You may take an effort to do programming since engineer should be able to do programming.

The report shall be in English. Use your own words which everybody can understand. References may be from books, journals or manuals in library and internet.

The outcomes of this project are; student able to apply basic engineering principles to solve engineering problem using numerical approach, able to use software packages and able to produce project report.

Plagiarism is very serious and if caught the student(s) will be penalised.

The report must cover, but not limited to, the following contents:

Title: Analysis of …(problem)… using …(project scope title)… Method.

Introduction.

Problem Statement.

Mathematical formulation.

Avantages/disadvantages of the methods.

Algorithm.

Programming using excel, MATLAB and another language (such as BASIC, C, FORTRAN etc).

Simulations and comparisons, errors, convergence (or divergence) etc.

Conclusions.

References.

Date line before 14 Oct 2008

(submitt hardcopy, softcopy of report file & 5 minute ppt presentation in CD)

Student & Project Scope Title

1	A103201	Iterative methods in solving linear systems of equation
2	A109150
3	A107944	Iterative methods in solving non-linear systems of equation
4	A110612
5	A113567	Newton polynomials, Chebyshev polynomials
6	A114702
7	A113669	Linear & Non-linear least-square method
8	A110667
9	A113795	Curve fitting with polynomials
10	A114768
11	A113839	Curve fitting with Fourier Series
12	A110850
13	A113892	Curve fitting with exponential functions
14	A110890
15	A113971	Curve fitting with cubic spline
16	A110928
17	A114048	interpolation by linear, quadratic and cubic splines
18	A110987
19	A114060	Fourier Series
20	A111118
21	A114072	Bezier curves
22	A113638
23	A114161	Optimum step size in numerical differentiation formulas
24	A111217
25	A114185	Richardson's extrapolation
26	A111279
27	A114236	Romberg integration
28	A113353
29	A113388	adaptive integration
30	A113384
31	A113442	bracketing search in optimization
32	A113421
33	A113618	Fibonacci search in optimization
34	A113498
35	A113568
36	A113484	quadratic approximation to find the minimum
37	A113646
38	A113572	cubic approximation to find the minimum
39	A113764
40	A113663	Nelder-Mead method to find the minimum
41	A110621
42	A113671
43	A110666	Powell's method to find the minimum
44	A113773
45	A110732	Gradient method to find the minimum
46	A113822
47	A110763	Step size and error in using Runge-Kutta method
48	A113857
49	A110860	Runge-Kutta-Fehlberg method
50	A113946
51	A110926	Milne-Simpson method
52	A113974
53	A110976	Systems of differential equations
54	A114052
55	A111051	Finite Difference Methods
56	A114061
57	A111128	Finite Element Methods
58	A114102
59	A114209	Multiple roots
60	A114180
61	A111223	Hyperbolic equations
62	A114193
63	A111289	Crank-Nicolson Methods
64	A114247
65	A114666	Poisson's equation
66	A114277
67	A114523	Helmholtz's equation
68	A114391
69	A114500	eigenvalue problems
70	A114471
71	A114515	Inverse Methods
72	A114550
73	A114388	Monte Carlo methods
74	A114602
75	A114563
76	A114670	Boundary Element Methods
77	A114711
78	A111139
79	A114704	Discrete Element Methods
80	A114767
81	A111149
82	A114786	ill-conditioning
83	A114778
84	A114793
85	A114876	Modified Monte Carlo
86	A114868
87	A110760
88	A114895	Genetic Algorithm Computation
89	A114946
90	A114950
91	A115101	Neural Networks
92	A114997
93	A115115
94	A115136	Fuzzy Computation (fuzzy logic)
95	A115194
96	A115201
97	A115250	Bayesian Method
98	A115213
99	A115307
100	A115256	Inverse Interpolation
101	A114260
102	A115793
103	A110627	Multidimensional Interpolation
104	A115794
105	A115288

[example of previous report]

‘SELAMAT MAJU JAYA’

Copyright © 2008 kamal

updated 6 September 2008