GATE
ECE EXAM PATTERN 2021
GATE
Exam Pattern 2021: IIT Madras (Organizing Institute) will be
releasing GATE Exam Pattern. The exam includes 2 types of Questions-
MCQs & NAT. GATE is held in online mode for 24 disciplines with
3 sections namely, General Aptitude, Engineering Mathematics and specific
subject of the paper.
Section Name
|
Marks Distribution
|
Engineering Mathematics
|
15%
|
General Aptitude
|
15%
|
Subject Weightage
|
70%
|
Total Marks
|
65 Marks
|
GATE ECE
Exam Syllabus 2021
General Aptitude
Verbal Ability: English grammar, sentence completion, verbal analogies,
word groups, instructions, critical reasoning and verbal deduction.
Numerical Ability: Numerical computation,
numerical estimation, numerical
Engineering Mathematics
Linear Algebra:
Matrix Algebra, Systems of
linear equations, Eigen values and 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, Surface and Volume integrals,
Stokes, Gauss and Green’s theorems.
Differential
equations:
First order equation (linear
and nonlinear), Higher order linear differential equations with constant
coefficients, Method of variation of parameters, Cauchy’s and Euler’s
equations, Initial and boundary value problems, Partial Differential Equations
and variable separable method.
Complex
variables:
Analytic functions, Cauchy’s
integral theorem and integral formula, Taylor’s and Laurent’ series, Residue
theorem, solution integrals.
Probability
and Statistics:
Sampling theorems, Conditional
probability, Mean, median, mode and standard deviation, Random variables,
Discrete and continuous distributions, Poisson, Normal and Binomial
distribution, Correlation and regression analysis.
Numerical
Methods:
Solutions of non-linear
algebraic equations, single and multi-step methods for differential equations.
Transform
Theory:
Fourier transform, Laplace
transform, Z-transform.
Electronics and
Communication Engineering
Networks:
Network graphs: matrices associated
with graphs; incidence, fundamental cut set and fundamental circuit matrices.
Solution methods: nodal and mesh analysis. Network theorems: superposition,
Thevenin and Norton’s maximum power transfer, Wye-Delta transformation. Steady
state sinusoidal analysis using phasors. Linear constant coefficient
differential equations; time domain analysis of simple RLC circuits, Solution
of network equations using Laplace transform: frequency domain analysis of RLC
circuits. 2-port network parameters: driving point and transfer functions.
State equations for networks.
Analog Circuits:
Small Signal Equivalent circuits of
diodes, BJTs, MOSFETs and analog CMOS. Simple diode circuits, clipping,
clamping, rectifier. Biasing and bias stability of transistor and FET
amplifiers. Amplifiers: single-and multi-stage, differential and operational,
feedback, and power. Frequency response of amplifiers. Simple op-amp circuits.
Filters. Sinusoidal oscillators; criterion for oscillation; single- transistor
and op-amp configurations. Function generators and wave-shaping circuits, 555
Timers. Power supplies.
Electronic Devices:
Energy bands in silicon, intrinsic and extrinsic silicon. Carrier transport in silicon: diffusion current, drift current, mobility, and resistivity. Generation and recombination of carriers. p-n junction diode, Zener diode, tunnel diode, BJT, JFET, MOS capacitor, MOSFET, LED, p-I-n and avalanche photo diode, Basics of LASERs. Device technology: integrated circuits fabrication process, oxidation, diffusion, ion implantation, photolithography, n-tub, p-tub and twin-tub CMOS process.
Digital circuits:
Boolean algebra, minimization of
Boolean functions; logic gates; digital IC families (DTL, TTL, ECL, MOS, CMOS).
Combinatorial circuits: arithmetic circuits, code converters, multiplexers,
decoders, PROMs and PLAs. Sequential circuits: latches and flip-flops, counters
and shift-registers. Sample and hold circuits, ADCs, DACs. Semiconductor
memories. Microprocessor(8085): architecture, programming, memory and I/O
interfacing.
Signals and
Systems:
Definitions and properties of Laplace
transform, continuous-time and discrete-time Fourier series, continuous-time
and discrete-time Fourier Transform, DFT and FFT, z-transform. Sampling
theorem. Linear Time-Invariant (LTI) Systems: definitions and properties;
causality, stability, impulse response, convolution, poles and zeros, parallel
and cascade structure, frequency response, group delay, phase delay. Signal
transmission through LTI systems.
Control Systems:
Basic control system components; block
diagrammatic description, reduction of block diagrams. Open loop and closed
loop (feedback) systems and stability analysis of these systems. Signal flow
graphs and their use in determining transfer functions of systems; transient
and steady state analysis of LTI control systems and frequency response. Tools
and techniques for LTI control system analysis: root loci, Routh-Hurwitz
criterion, Bode and Nyquist plots. Control system compensators: elements of
lead and lag compensation, elements of Proportional-Integral-Derivative (PID)
control. State variable representation and solution of state equation of LTI
control systems.
Communications:
Random signals and noise: probability,
random variables, probability density function, autocorrelation, power spectral
density. Analog communication systems: amplitude and angle modulation and
demodulation systems, spectral analysis of these operations, super heterodyne
receivers; elements of hardware, realizations of analog communication systems;
signal-to-noise ratio (SNR) calculations for amplitude modulation (AM) and
frequency modulation (FM) for low noise conditions. Fundamentals of
information theory and channel capacity
theorem. Digital communication systems: pulse code modulation (PCM),
differential pulse code modulation (DPCM), digital modulation schemes:
amplitude, phase and frequency shift keying schemes (ASK, PSK, FSK), matched
filter receivers, bandwidth consideration and probability of error calculations
for these schemes. Basics of TDMA, FDMA and CDMA and GSM.
Electromagnetics:
Electrostatics;
Maxwell’s equations: differential and integral forms and their
interpretation, boundary conditions, wave equation, Poynting vector; Plane
waves and properties: reflection and refraction, polarization, phase and group
velocity, propagation through various media, skin depth; Transmission lines:
equations, characteristic impedance, impedance matching, impedance
transformation, S-parameters, Smith chart; Waveguides: modes, boundary
conditions, cut-off frequencies, dispersion relations;
Antennas: antenna types, radiation pattern, gain .
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