GITAM University Maths II IV SEM Syllabus
B.Tech. (BT) IV Semester
Course Code : EURBT401 Category: MT
Credits: 3 Hours : 3 per week
Partial Differentiation and its application:
Functions of two or more variables, partial derivatives, Homogeneous functions –
Euler’s theorem, total derivative, differentiation of implicit functions, Geometrical
interpretation, Tangent plane and normal to a surface, change of variables, Jacobians,
Taylor’s theorem for functions of two variables, Errors and approximations, total
differential Maxima and Minima of functions of two variables, Lagrange’s method of
Multiple Integrals and their applications:
Double Integrals, Change of order of integration, Double integrals in polar
coordinates, Areas enclosed by plane curves, Triple integrals, volume of solids,
change of variables, Area of curved surface, calculation of mass, center of gravity,
center of pressure, moment of inertia, product of inertia, principle axes, Beta function,
Gamma function, relation between Beta and Gamma functions, Error function or
Euler’s formulae. Conditions for a Fourier expansion, functions having points of
discontinuity, change of interval, odd or even functions – expansions of odd or even
periodic functions, Half range series. Parseval’s formulae. Practical Harmonic
Introduction to statistics and probability, sampling and sampling methods,
presentation of data, curve fitting, linear regression. Measures of central tendency,
(mean/mode/median), measures of dispersion: range, mean deviation, standard
deviation, variance, standard error.
Test of significance. Testing of hypothesis, level of significance, confidence limits.
Review of binomial, poisson and normal distribution, student’s t-distribution,
f-distribution, Fisher’s Z-distribution and Chi-square distribution.
Numerical Analysis: Solution of linear algebraic equations using Jacobi, Gauss-
Seidel iterative methods, eigen values, eigen vectors using power method.
Numerical Solutions of ODE’s and PDE’s: Numerical solutions of ODE’s by
Picard’s method, Euler’s method, Runge-Kutta method and numerical methods for
solution for PDE’s (1) Elliptic (Liebmann iteration process) (2) Parabolic (Schmidt
explicit formula) (3) Hyperbolic and (4) Poisson’s equations (Gauss-siedel method).
1. Higher Engineering Mathematics by Dr.B.S.Grewal. 35th ed. 2000. Khanna publishers.
2. Mathematics for Engineering by Chandrica Prasad.
1. Higher Engineering Mathematics by Dr.M.K.Venkataraman. 1994. National publishing company.
2. Advance Engineering Mathematics by Erwin Kreyszig.8th ed. 2004. John wiley and sons.