GATE 2022 – IIT Kharagpur
In this article we are sharing the syllabus of GATE 2022 Electrical Engineering syllabus by IIT IIT Kharagpur . All Electrical and allied engineering branches candidates who want to appear in GATE 2022 with GATE 2022 Paper Code ‘EE’ must download this syllabus before starting preparation.
IIT IIT Kharagpur : GATE 2022 Syllabus – Electrical Engineering (EE)
GATE 2022 will be conducted by IIT Kharagpur . IIT Kharagpur tentative syllabus and paper pattern for GATE 2022 Electrical Engineering is available in this post. Kindly read full article, download the GATE 2022 syllabus PDF and share this article with your friends.
GATE 2022 – Electrical Engineering (EE) Paper Pattern
|Paper Sections||Marks Distribution|
|Subject Questions||70% of the total marks.|
|Engineering Mathemetics||15% of the total marks.|
|General Aptitude||15% of the total marks.|
GATE 2022 – Electrical Engineering (EE) Paper Syllabus
GATE 2022 – Electrical Engineering Syllabus – Engineering Mathematics
Linear Algebra: Matrix Algebra, Systems of linear equations, Eigenvalues, Eigenvectors.
Calculus: Mean value theorems, Theorems of integral calculus, Evaluation of definite and improper integrals, Partial Derivatives, Maxima and minima, Multiple integrals, Fourier series, Vector identities, Directional derivatives, Line integral, Surface integral, Volume integral, Stokes’s theorem, Gauss’s theorem, Green’s theorem.
Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Method of variation of parameters, Cauchy’s equation, Euler’s equation, Initial and boundary value problems, Partial Differential Equations, Method of separation of variables.
Complex variables: Analytic functions, Cauchy’s integral theorem, Cauchy’s integral formula, Taylor series, Laurent series, Residue theorem, Solution integrals.
Probability and Statistics: Sampling theorems, Conditional probability, Mean, Median, Mode, Standard Deviation, Random variables, Discrete and Continuous distributions, Poisson distribution, Normal distribution, Binomial distribution, Correlation analysis, Regression analysis.
Numerical Methods: Solutions of nonlinear algebraic equations, Single and Multi‐step methods for differential equations.
Transform Theory: Fourier Transform, Laplace Transform, z‐Transform.