Syllabus for GATE ECE Exam

Overview

Graduate Aptitude Test in Engineering (GATE) is a postgraduate entrance exam for engineering graduate students at all India-level. This entrance exam is conducted to test the comprehensive skills of the students. Usually, GATE exam is conducted by Indian Institute of Science, Bangalore along with 7 other India Institute of Technology (IIT) that are located across India.

Organized every year in the month of February, the next GATE Entrance Exam is about to take place in the month of February . This time it is IIT Delhi that is going to conduct the GATE . Biomedical Engineering is the new subject paper that is added to the list.

GATE Electronics and Communication Engineering Syllabus have been released by IIT Delhi. If you’re a GATE candidate, then just check for the GATE EC Engineering exam syllabus before you start your preparation.

Below is the detailed list of topics and sub-topics that must be covered for each subject in GATE Electronics and Communication Engineering discipline. Ensure the candidates get to know the following sections present in Electronics and Communication Engineering paper:

• General Aptitude
• Engineering Mathematics
• Network Signals & Systems
• Electronic Devices
• Analog Circuits
• Digital Circuits
• Control Systems
• Communications
• Electromagnetics

Candidates who’re appearing or planning to appear for GATE Electronics and Communication Engineering Exam can check the syllabus given below. This would help them in effective exam preparation.

GENERAL APTITUDE (Mandatory)

Verbal Ability: English Grammar, Sentence Completion, Verbal Analogies, World Groups Instructions, Critical Reasoning, and Verbal Deduction, etc.

Numerical Ability: Numerical Computation, Numerical Estimation, Numerical Reasoning and Data Interpretation, etc.

ENGINEERING MATHEMATICS (Mandatory)

Linear Algebra: Vector space, basis, linear dependence and independence, matrix algebra, eigen values and eigen vectors, rank, solution of linear equations – existence and uniqueness.

Calculus: Mean value theorems, theorems of integral calculus, evaluation of definite and improper integrals, partial derivatives, maxima and minima, multiple integrals, line, surface and volume integrals, Taylor series.

Differential Equations: First order equations (linear and nonlinear), higher-order linear differential equations, Cauchy’s and Euler’s equations, methods of solution using a variation of parameters, complementary function, and particular integral, partial differential equations, variable separable method, initial and boundary value problems.

Vector Analysis: Vectors in plane and space, vector operations, gradient, divergence and curl, Gauss’s, Green’s and Stoke’s theorems.

Complex Analysis: Analytic functions, Cauchy’s integral theorem, Cauchy’s integral formula; Taylor’s and Laurent’s series, residue theorem.

Numerical Methods: Solution of nonlinear equations, single and multi-step methods for differential equations, convergence criteria.

Probability and Statistics: Mean, median, mode and standard deviation; combinatorial probability, probability distribution functions – binomial, Poisson, exponential and normal; Joint and conditional probability; Correlation and regression analysis.

NETWORKS, SIGNALS, AND SYSTEMS

Network 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; Time-domain analysis of simple linear circuits; Solution of network equations using Laplace transform; Frequency domain analysis of RLC circuits, Linear 2‐port network parameters: driving point and transfer functions; State equations for networks.

Continuous-time signals: Fourier series and Fourier transform representations, sampling theorem, and applications; Discrete-time signals: discrete-time Fourier transform (DTFT), DFT, FFT, Z-transform, interpolation of discrete-time signals; LTI systems: definition and properties, causality, stability, impulse response, convolution, poles and zeros, parallel and cascade structure, frequency response, group delay, phase delay, digital filter design techniques.

ELECTRONIC DEVICES

Energy bands in intrinsic and extrinsic silicon; Carrier transport: diffusion current, drift current, mobility and resistivity; Generation and recombination of carriers; Poisson and continuity equations; P-N junction, Zener diode, BJT, MOS capacitor, MOSFET, LED, photodiode and solar cell; Integrated circuit fabrication process: oxidation, diffusion, ion implantation, photolithography, and twin-tub CMOS process.

ANALOG CIRCUITS

Small signal equivalent circuits of diodes, BJTs and MOSFETs; Simple diode circuits: clipping, clamping and rectifiers; Single-stage BJT and MOSFET amplifiers: biasing, bias stability, mid-frequency small-signal analysis and frequency response; BJT and MOSFET amplifiers: multi-stage, differential, feedback, power and operational; Simple op-amp circuits; Active filters; Sinusoidal oscillators: criterion for oscillation, single-transistor and op-amp configurations; Function generators, wave-shaping circuits and 555 timers; Voltage reference circuits; Power supplies: ripple removal and regulation.

DIGITAL CIRCUITS

Number systems; Combinatorial circuits: Boolean algebra, minimization of functions using Boolean identities and Karnaugh map, logic gates and their static CMOS implementations, arithmetic circuits, code converters, multiplexers, decoders and PLAs, Sequential circuits: latches and flip‐flops, counters, shift‐registers and finite state machines, Data converters: sample and hold circuits, ADCs and DACs; Semiconductor memories, ROM, SRAM, DRAM; 8-bit microprocessor (8085): architecture, programming, memory and I/O interfacing.

CONTROL SYSTEMS

Basic control system components; Feedback principle; Transfer function; Block diagram representation; Signal flow graph; Transient and steady-state analysis of LTI systems; Frequency response; Routh-Hurwitz and Nyquist stability criteria; Bode and root-locus plots; Lag, lead and lag-lead compensation; State variable model and solution of state equation of LTI systems.

COMMUNICATIONS

Random processes: autocorrelation and power spectral density, properties of white noise, filtering of random signals through LTI systems; Analog communications: amplitude modulation and demodulation, angle modulation and demodulation, spectra of AM and FM, superheterodyne receivers, circuits for analog communications; Information theory: entropy, mutual information and channel capacity theorem; Digital communications: PCM, DPCM, digital modulation schemes, amplitude, phase and frequency shift keying (ASK, PSK, FSK), QAM, MAP and ML decoding, matched filter receiver, calculation of bandwidth, SNR and BER for digital modulation; Fundamentals of error correction, Hamming codes; Timing and frequency synchronization, inter-symbol interference and its mitigation; Basics of TDMA, FDMA and CDMA.

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 and directivity, return loss, antenna arrays; Basics of radar; Light propagation in optical fibers.

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