#1
August 8th, 2016, 03:01 PM
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Kannur University s1s2 Syllabus
Hi buddy here I have come here to get BTech Semester 1 & Semester 2 Syllabus of Kannur University , so can you plz here provide me same here ??
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#2
August 8th, 2016, 04:26 PM
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Re: Kannur University s1s2 Syllabus
As you are looking for BTech Semester 1 & Semester 2 Syllabus of Kannur University , so on your demand I am providing same for you: 2K6 EN101: ENGINEERING MATHEMATICS I 2 hours lecture and 1 hour tutorial per week Module I: Ordinary Differential Equations (16 hours) A brief review of the method of solutions first order equations – Separable , homogeneous and linear types – Exact equations – Orthogonal trajectories – General linear second order equations- homogeneous linear equation of the second order with constant coefficients- Fundamental system of solutions – Method of variation of parameters – Cauchy's equation. Module II: Laplace Transforms (17 hours) Gamma and Beta functions – Definition and simple properties – Laplace transform – Inverse transform – Laplace transform of derivatives and integrals – Shifting theorems – Differentiation and integration of transforms – Transforms of unit step function and impulse function – Transforms of periodic functions – Solutions of ordinary differential equations using Laplace transforms. Module III: Vector differential calculus (18 hours) Functions of more than one variable – Idea of partial differentiation – Euler's theorem for homogeneous functions – Chain rule of partial differentiation – application in errors and approximations. Vector function of single variable - differentiation of vector functions Scalar and vector fields – Gradient of a scalar field – Divergence and curl of vector fields – Their physical meanings – Relation between the vector differential operators. Module IV: Fourier series and harmonic analysis (15 hours) Periodic functions – Trigonometric series – Euler formulae – Even and odd functions – Functions having arbitrary period – Half range expansions – Numerical method for determining Fourier coefficients – Harmonic analysis. |
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