#1
7th October 2017, 01:18 PM
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Kannur University S5 EEE Syllabus
Can you provide me the syllabus of B. Tech Semester 5 of EEE (Electrical and Electronics Engineering) Program offered by Kannur University?
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#2
7th October 2017, 01:40 PM
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Re: Kannur University S5 EEE Syllabus
The syllabus of B. Tech Semester 5 of EEE (Electrical and Electronics Engineering) Program offered by Kannur University is as follows: 2K6 EE 501 ENGINEERING MATHEMATICS IV Module I Probability distributions (13 hours) Random variables-Probability distributions - binomial distribution Poisson distribution-normal distribution Mean, variance and Moment generating function -Poisson process - Chebyshevs theorem- Geometric Distribution Uniform Distribution, Gamma distribution, Beta Distribution, Exponential Distribution and Hyper-Geometric Distributions Module II Statistical inference (13hours) Population and Sample-Sampling Distributions of Mean and Variance-Point Estimation-Interval Estimation Null Hypotheses and Significance tests-Hypotheses concerning one mean- Confidence Intervals of mean and variance - Estimation of Variances-Hypotheses concerning one variance-Hypotheses concerning two variance- Chi square test as test of goodness of fit. Module III (Series solutions of differential equations (13hours) Power series method of solving ordinary differential equations - series solution of Bessels equation Recurrence formula for Jn(x)-expansions for J0 and J1 value of J1/2- generating function for Jn(x)- Orthogonality of Bessel functions - Legendres equation series solution of Legendres differential equation -Rodrigues formula-Legendre Polynomials Generating function for Pn(x)- Recurrence formulae for Pn(x) -Orthogonality of Legendre Polynomials Module IV Quadratic forms and Fourier Transforms (13 hours) Quadratic forms - Matrix associated with a quadratic form - Technique of Diagonalization using row and column transformations on the matrix - Definite, Semidefinite and Indefinite forms - their identification using the Eigen values of the matrix of the quadratic form. Fourier Transform-Properties of Fourier Transforms-Linearity property-Change of scale property-shifting properties Modulation property-Transform of the Derivative-simple problems- Fourier Cosine transform-Fourier Sine Transform. Syllabus B. Tech Semester 5 of EEE Program Kannur University |
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