GATE 2026 IIT Guwahati | Organizing Institute
EE Electrical Engineering
Section 1: Engineering Mathematics
Linear Algebra: Matrix Algebra, Systems of linear equations, Eigen values, Eigen vectors.
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, Divergence 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.
Section 2: Electric circuits
Network Elements: Ideal voltage and current sources, dependent sources, R, L, C, M
elements; Network solution methods: KCL, KVL, Node and Mesh analysis; Network
Theorems: Thevenin’s, Norton’s, Superposition and Maximum Power Transfer theorem;
Transient response of DC and AC networks, sinusoidal steady-state analysis, resonance,
two port networks, balanced three phase circuits, star-delta transformation, complex power
and power factor in AC circuits.
Section 3: Electromagnetic Fields
Coulomb's Law, Electric Field Intensity, Electric Flux Density, Gauss's Law, Divergence,
Electric field and potential due to point, line, plane and spherical charge distributions, Effect
of dielectric medium, Capacitance of simple configurations, Biot‐Savart’s law, Ampere’s
law, Curl, Faraday’s law, Lorentz force, Inductance, Magnetomotive force, Reluctance,
Magnetic circuits, Self and Mutual inductance of simple configurations.
Section 4: Signals and Systems
Representation of continuous and discrete time signals, shifting and scaling properties,
linear time invariant and causal systems, Fourier series representation of continuous and
discrete time periodic signals, sampling theorem, Applications of Fourier Transform for
continuous and discrete time signals, Laplace Transform and Z transform. R.M.S. value,
average value calculation for any general periodic waveform.
Section 5: Electrical Machines
Single phase transformer: equivalent circuit, phasor diagram, open circuit and short
circuit tests, regulation and efficiency; Three-phase transformers: connections, vector
EE Electrical Engineering
Section 1: Engineering Mathematics
Linear Algebra: Matrix Algebra, Systems of linear equations, Eigen values, Eigen vectors.
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, Divergence 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.
Section 2: Electric circuits
Network Elements: Ideal voltage and current sources, dependent sources, R, L, C, M
elements; Network solution methods: KCL, KVL, Node and Mesh analysis; Network
Theorems: Thevenin’s, Norton’s, Superposition and Maximum Power Transfer theorem;
Transient response of DC and AC networks, sinusoidal steady-state analysis, resonance,
two port networks, balanced three phase circuits, star-delta transformation, complex power
and power factor in AC circuits.
Section 3: Electromagnetic Fields
Coulomb's Law, Electric Field Intensity, Electric Flux Density, Gauss's Law, Divergence,
Electric field and potential due to point, line, plane and spherical charge distributions, Effect
of dielectric medium, Capacitance of simple configurations, Biot‐Savart’s law, Ampere’s
law, Curl, Faraday’s law, Lorentz force, Inductance, Magnetomotive force, Reluctance,
Magnetic circuits, Self and Mutual inductance of simple configurations.
Section 4: Signals and Systems
Representation of continuous and discrete time signals, shifting and scaling properties,
linear time invariant and causal systems, Fourier series representation of continuous and
discrete time periodic signals, sampling theorem, Applications of Fourier Transform for
continuous and discrete time signals, Laplace Transform and Z transform. R.M.S. value,
average value calculation for any general periodic waveform.
Section 5: Electrical Machines
Single phase transformer: equivalent circuit, phasor diagram, open circuit and short
circuit tests, regulation and efficiency; Three-phase transformers: connections, vector
