#1
31st March 2013, 03:35 PM
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Amravati University BE IT Syllabus
Give me Amravati University BE IT Syllabus
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#2
4th April 2013, 12:48 PM
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Re: Amravati University BE IT Syllabus
As you are looking for the BE IT Syllabus Amravati University so here I am attaching PDF file that have following type of syllabus. Unit I : Ordinary Differential Equations. Complete solution, Operator D, rules for finding the complementry function, the inverse operator , Rules for finding particular integral. Method of variation of parameters, Cauchy's and Legendre's Linear Differential equations. Simultaneous linear differential equations with constant coefficients Applications to civil engineering. Unit II: Laplace transforms: Definition and elementry properties, Inverse L.T. by various methods, Convolution theorem, Solution of ordinary and simultaneous differential equation using Laplace transform of periodic functions. Application to problems of beams. Unit III Partial Differential Equations. P.D.E. of first order and first degree of types i) f(p,q) = O ii) f(p,q,z)=0, iii) f(p,q,x,y)=O iv) f(p,q,x,y,z)=O i.e. (a) Lagrange's form Pp + Qq = R (b) Claivant's form z=px+qy+f(p,q) v) Equations reducible to above standard types linear Homogeneous P.D.E. of nth order with constant co-efficients. Section-B Unit IV Numerical Methods :- (a) i) Solution of Algebraic and transcendal Equations by Newton Raphson method and by method of False Position. ii) Solution of system of linear equations by Grout's method, Gauss Seidal method and Relaxation Method. (b) Numerical solution of differential equations by Picard's method, Taylor's series method, Euler's method, modified Euler's method and Rungekutta forth order method. Unit V : Complex variable : Analytic functions, C.R.conditions, Harmonic functions. harmonic conjugate functions, Milne's method, conformal mapping, Elementary conformal mapping w=z+c, w=cz, w+ Bilinear transformation. Unit VI Statistics Probability : Axioms, conditional probability, Baye's theorem, Mathematical Expectation and probability distributions (Binomial, Poisson and Normal) Curve fitting by method of least square only for line and parabola, Corelation regression. |