The minimum passing mark for the SEE is 35% of the maximum marks (18 marks out of 50).The minimum passing mark for the CIE is 40% of the maximum marks (20 marks out of 50). ![]() The weightage of Continuous Internal Evaluation (CIE) is 50% and for Semester End Exam (SEE) is 50%. ![]() Suggested software’s: Mathematica/MatLab/Python/ScilabĪt the end of the course the student will be able to:ĬO1 apply the knowledge of calculus to solve problems related to polar curves and learn the notion of partial differentiation to compute rate of change of multivariate functionsĬO2 analyze the solution of linear and nonlinear ordinary differential equationsĬO3 apply the concept of change of order of integration and variables to evaluate multiple integrals and their usage in computing area and volumeĬO4 make use of matrix theory for solving the system of linear equations and compute eigenvalues and eigenvectorsĬO5 familiarize with modern mathematical tools namely MATHEMATICA/ MATLAB/ PYTHON/SCILAB List of Laboratory experiments (2 hours/week per batch/ batch strength 15) 10 lab sessions + 1 repetition class + 1 Lab Assessmentġ 2D plots for Cartesian and polar curvesĢ Finding angle between polar curves, curvature and radius of curvature of a given curveģ Finding partial derivatives and JacobianĤ Applications to Maxima and Minima of two variablesĥ Solution of first-order ordinary differential equation and plotting the solution curvesĦ Program to compute area, volume and centre of gravityĨ Numerical solution of system of linear equations, test for consistency and graphical representationĩ Solution of system of linear equations using Gauss-Seidel iterationġ0 Compute eigenvalues and eigenvectors and find the largest and smallest eigenvalue by Rayleigh power method. Network Analysis, Markov Analysis, Critical point of a network system. Inverse of a square matrix by Cayley- Hamilton theorem. Self-Study: Solution of system of equations by Gauss-Jacobi iterative method. ![]() Eigenvalues and Eigenvectors, Rayleigh’s power method to find the dominant Eigenvalue and Eigenvector. ![]() Consistency and Solution of system of linear equations - Gauss-elimination method, Gauss-Jordan method and approximate solution by Gauss-Seidel method. Introduction of linear algebra related to EC & EE engineering applications.Įlementary row transformation of a matrix, Rank of a matrix.
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