GATE Syllabus - Electronics & Telecommunication Engineering

NETWORK GRAPHS:

matrices associated with graphs; incidence, fundamental cut set and fundamental circuit matrices. Solution methodsl; nodal and mesh analysis. Network theorems; superposition, Thevenin and Nortan’s, maximum power transfer, wye-delta transformation, steady state sinusoidal analysis using phasors, fourier series, linear constant coefficient differential and difference equations; time domain analysis of simple RLC circuits. laplace and Z transforms: frequency domain analysis of RLC circuits, convolution,2-port network parameters, driving point and transfer functions, state equation for networks.

ANALOG CIRCUITS:

characteristics and equivalent circuits(large and small singnal) of diodes,BJT,JFETs and MOSFET simple diode circuits: clipping, clamping, rectifier, biasing and bias stability of transistior and FET amplifiers. Amplifiers: single and multi-stage, differential, operational, feedback and power. Analysis of amplifers; 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, Power supplies.

DIGITAL CIRCUITS:

Boolean algebra; minimization of boolean functions; logic gates; digital IC families( DTL,TTL,ECL,MOS,CMOS). Combinational circuits: airthmetic circuits, code converters, multiplexers and decoders. Sequential circuits: latches and flip-flops, counters and shift-registers. Comparators, timers, multivibrators. Sample and hold circuits, ADCs and DACs. Semiconductor memories. Microprocessor (8085): architecture, programming, memory and I/O interfacing.

CONTROL SYSTEMS:

Basic control system components; block diagrammatic descripption,reduction of block diagrams,properties of systems: linearity,time-invariance,stability,causality.Open loop and closed loop (feedback) systems.Special properties of linear time- invariance(LTI) systems-transfer function, impulse responce,poles,zeros,their significance, and stability analysis of these systems. Signal flow graphs and their use in determining transfer functions of systems; transient and steaty state analysis of LTI system and frequency responce. 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 compensations, elements ofPropotional-integral.
-Derivative(PID) control. State variable representation and solution of state equation for LTI systems.

COMMUNICATION SYSTEMS:

Fourier analysis of signals - amplitude, phase and power spectrum, auto-correlation and cross-correlation and their Fourier transforms. Signal transmission through linear time-invariant(LTI) systems,impulse responce and frequency responce,group delay phase delay. Analog modulation systems-amplitude and angle modulation and demodulation systems, spectral analysis of these operations, superheterodyne receivers, elements of hardwares realizations of analog communications systems. Basic sampling theorems. Pulse code modulation(PCM), differential pulse code modulation(DPCM), delta modulation(DM). Digital modulation schemes: amplitude, phase and frequency shift keying schemes(ASK,PSK,FSK). Multiplexing - time division and frequency division. Additive Gaussian noise; characterization using correlation, probability density function(PDF),power spectral density(PSD). Signal- to-noise rasio(SNR) calculations for amplitude modulation(AM) and frequency modulation(FM) for low noise conditions.

ELECTROMAGNETICS:

Elements of vector calculus: gradient, dicergence and curl; Gauss and strokes theorems, maxwells equation: differential and integral forms. Wave equation. Poynting vector. Plane wavwes: propagation through various media; reflection and refraction; phase and group velocity; skin depth Transmission lines: Characteristic impedence; impedence transformation; smith chart; impedence matching pulse excitation. Wave guides: modes in rectangular waveguides; boundary conditions; cutt-off frequencies; dipersion relations. Antennas; Dipole antennas; antenna arrays; radiation pattern; reciprocity theorem; antenna gain.

GATE Syllabus - Computer Science & Information Technology

BASIC MATHEMATICS:
Elements of probability, matrix algebra, numerical methods: interpolation, root finding, differentiation and integration. Discrete mathematics: sets, relations, functions, mathematical induction, counting, groups, graphs, partial orders, lattices and boolean algebra, propostional logic.

THEORY OF COMPUTATION:
Regular and context free languages, finite state machines and push down automata, turing machines and undecidability.

COMPUTER HARDWARE:
Logic function, minimization techniques, design of combinational and sequential circuits using gates and flip-flops, design with integrated circuts incuding ROM and multiplexers, microprocessor architecture: programming, interfacing with memory and I/O devices(modes of data transfer and their implementation, serial and parallel communication interface). Detailed knowledge of 8085 microprocessor will be assumed.

COMPUTER ORGANIZATION:
Number representation and airthmetic, functional organization, machine instructions and addressing modes, ALU, hardwired and microprogrammed control, instrucation pipelining, memory organization, input/output.

PROGRAMMING AND DATA STRUCTURE:
structured programmming with pascal/C including recursion; arrays, stacks, strings, queues, lists, trees, sets and graphs; algorithm for tree and graphs traversals, connected component, spanning trees, shortest paths; hashing, sorting and searching algorithm design and analysis techniques, big ‘oh’ notation, solution of sample recurrence relations.

LANGUAGE PROCESSOR:
Assembler, loader, linker, macroprocessors, text editors, programming languages, scope rules and parameter passing mechanism; compilers lexical analysis, parsing, syntax, directed translation, run time environment, machine code generation; interpreters.

OPERATING SYSTEM:
Batch, multi-programming and time-sharing systems; processsor, memory, device and file management, virtual memory, process scheduling, interprocess communication, process synchoronization and concurrency, deadlocks, protection.

DATABASE SYSTEM:
File organization techniques; indexing,B-trees, B-plus trees; relational and network datat models; normal forms; query language: SQL.

GATE Syllabus - Electrical & Electronics Engineering

ENGINEERING MATHEMATICS

(1) Linear Algebra: Matrix Algebra, Systems of linear equations, Eigen values and eigen vectors.

(2) 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.

(3) 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.

(4) Complex variables: Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s and Laurent’ series, Residue theorem, solution integrals.

(5) 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.

(6) Numerical Methods: Solutions of non-linear algebraic equations, single and multi-step methods for differential equations.

(7) Transform Theory: Fourier transform, Laplace transform, Z-transform.

ELECTRICAL ENGINEERING

(1) Electric Circuits and Fields: Network graph, KCL, KVL, node and mesh analysis, transient response of dc and ac networks; sinusoidal steady-state analysis, resonance, basic filter concepts; ideal current and voltage sources, Thevenin’s, Norton’s and Superposition and Maximum Power Transfer theorems, two-port networks, three phase circuits; Gauss Theorem, electric field and potential due to point, line, plane and spherical charge distributions; Ampere’s and Biot-Savart’s laws; inductance; dielectrics; capacitance.

(2) Signals and Systems: Representation of continuous and discrete-time signals; shifting and scaling operations; linear, time-invariant and causal systems; Fourier series representation of continuous periodic signals; sampling theorem; Fourier, Laplace and Z transforms.

(3) Electrical Machines: Single phase transformer - equivalent circuit, phasor diagram, tests, regulation and efficiency; three phase transformers - connections, parallel operation; auto-transformer; energy conversion principles; DC machines - types, windings, generator characteristics, armature reaction and commutation, starting and speed control of motors; three phase induction motors - principles, types, performance characteristics, starting and speed control; single phase induction motors; synchronous machines - performance, regulation and parallel operation of generators, motor starting, characteristics and applications; servo and stepper motors.

(4) Power Systems: Basic power generation concepts; transmission line models and performance; cable performance, insulation; corona and radio interference; distribution systems; per-unit quantities; bus impedance and admittance matrices; load flow; voltage control; power factor correction; economic operation; symmetrical components; fault analysis; principles of over-current, differential and distance protection; solid state relays and digital protection; circuit breakers; system stability concepts, swing curves and equal area criterion; HVDC transmission and FACTS concepts.

(5) Control Systems: Principles of feedback; transfer function; block diagrams; steady-state errors; Routh and Niquist techniques; Bode plots; root loci; lag, lead and lead-lag compensation; state space model; state transition matrix, controllability and observability.

(6) Electrical and Electronic Measurements: Bridges and potentiometers; PMMC, moving iron, dynamometer and induction type instruments; measurement of voltage, current, power, energy and power factor; instrument transformers; digital voltmeters and multimeters; phase, time and frequency measurement; Q-meters; oscilloscopes; potentiometric recorders; error analysis.

(7) Analog and Digital Electronics: Characteristics of diodes, BJT, FET; amplifiers - biasing, equivalent circuit and frequency response; oscillators and feedback amplifiers; operational amplifiers - characteristics and applications; simple active filters; VCOs and timers; combinational and sequential logic circuits; multiplexer; Schmitt trigger; multi-vibrators; sample and hold circuits; A/D and D/A converters; 8-bit microprocessor basics, architecture, programming and interfacing.

(8) Power Electronics and Drives: Semiconductor power diodes, transistors, thyristors, triacs, GTOs, MOSFETs and IGBTs - static characteristics and principles of operation; triggering circuits; phase control rectifiers; bridge converters - fully controlled and half controlled; principles of choppers and inverters; basis concepts of adjustable speed dc and ac drives.

GATE Syllabus - Metallurgical Engineering

ENGINEERING MATHEMATICS

(1) Linear Algebra: Matrices and Determinants, Systems of linear equations, Eigen values and eigen vectors.

(2) Calculus: Limit, continuity and differentiability; Partial Derivatives; Maxima and minima; Sequences and series; Test for convergence; Fourier series.

(3) Vector Calculus: Gradient; Divergence and Curl; Line; surface and volume integrals; Stokes, Gauss and Green’s theorems.

(4) Diferential Equations: Linear and non-linear first order ODEs; Higher order linear ODEs with constant coefficients; Cauchy’s and Euler’s equations; Laplace transforms; PDEs - Laplace, heat and wave equations.

(5) Probability and Statistics: Mean, median, mode and standard deviation; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis.

(6) Numerical Methods: Solutions of linear and non-linear algebraic equations; integration of trapezoidal and Simpson’s rule; single and multi-step methods for differential equations.

METALLURGICAL ENGINEERING

(1) Thermodynamics and Rate Processes: Laws of thermodynamics, activity, equilibrium constant, applications to metallurgical systems, solutions, phase equilibria, Ellingham and phase stability diagrams, thermodynamics of surfaces, interfaces and defects, adsorption and segregation; basic kinetic laws, order of reactions, rate constants and rate limiting steps; principles of electro chemistry- single electrode potential, electro-chemical cells and polarizations, aqueous corrosion and protection of metals, oxidation and high temperature corrosion - characterization and control; heat transfer - conduction, convection and heat transfer coefficient relations, radiation, mass transfer - diffusion and Fick’s laws, mass transfer coefficients; momentum transfer - concepts of viscosity, shell balances, Bernoulli’s equation, friction factors.

(2) Extractive Metallurgy: Minerals of economic importance, comminution techniques, size classification, Flotation, gravity and other methods of mineral processing; agglomeration, pyro- hydro- and electro-metallurgical processes; material and energy balances; principles and processes for the extraction of non-ferrous metals - aluminium, copper, zinc, lead, magnesium, nickel, titanium and other rare metals; iron and steel making - principles, role structure and properties of slags, metallurgical coke, blast furnace, direct reduction processes, primary and secondary steel making, ladle metallurgy operations including deoxidation, desulphurization, sulphide shape control, inert gas rinsing and vacuum reactors; secondary refining processes including AOD, VAD, VOD, VAR and ESR; ingot and continuous casting; stainless steel making, furnaces and refractories.

(3) Physical Metallurgy: Crystal structure and bonding characteristics of metals, alloys, ceramics and polymers, structure of surfaces and interfaces, nano-crystalline and amorphous structures; solid solutions; solidification; phase transformation and binary phase diagrams; principles of heat treatment of steels, cast iron and aluminum alloys; surface treatments; recovery, recrystallization and grain growth; industrially important ferrous and non-ferrous alloys; elements of X-ray and electron diffraction; principles of scanning and transmission electron microscopy; industrial ceramics, polymers and composites; electronic basis of thermal, optical, electrical and magnetic properties of materials; electronic and opto-electronic materials.

(4) Mechanical Metallurgy: Elasticity, yield criteria and plasticity; defects in crystals; elements of dislocation theory - types of dislocations, slip and twinning, source and multiplication of dislocations, stress fields around dislocations, partial dislocations, dislocation interactions and reactions; strengthening mechanisms; tensile, fatigue and creep behaviour; super-plasticity; fracture - Griffith theory, basic concepts of linear elastic and elasto-plastic fracture mechanics, ductile to brittle transition, fracture toughness; failure analysis; mechanical testing - tension, compression, torsion, hardness, impact, creep, fatigue, fracture toughness and formability.

(5) Manufacturing Processes: Metal casting - patterns and moulds including mould design involving feeding, gating and risering, melting, casting practices in sand casting, permanent mould casting, investment casting and shell moulding, casting defects and repair; hot, warm and cold working of metals, Metal forming - fundamentals of metal forming processes of rolling, forging, extrusion, wire drawing and sheet metal forming, defects in forming; Metal joining - soldering, brazing and welding, common welding processes of shielded metal arc welding, gas metal arc welding, gas tungsten arc welding and submerged arc welding; welding metallurgy, problems associated with welding of steels and aluminium alloys, defects in welded joints; powder metallurgy; NDT using dye-penetrant, ultrasonic, radiography, eddy current, acoustic emission and magnetic particle methods.

GATE Syllabus - Mining Engineering

ENGINEERING MATHEMATICS

(1) Linear Algebra: Matrices and Determinants, Systems of linear equations, Eigen values and eigen vectors.

(2) Calculus: Limit, continuity and differentiability; Partial Derivatives; Maxima and minima; Sequences and series; Test for convergence; Fourier series.

(3) Vector Calculus: Gradient; Divergence and Curl; Line; surface and volume integrals; Stokes, Gauss and Green’s theorems.

(4) Diferential Equations: Linear and non-linear first order ODEs; Higher order linear ODEs with constant coefficients; Cauchy’s and Euler’s equations; Laplace transforms; PDEs - Laplace, heat and wave equations.

(5) Probability and Statistics: Mean, median, mode and standard deviation; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis.

(6) Numerical Methods: Solutions of linear and non-linear algebraic equations; integration of trapezoidal and Simpson’s rule; single and multi-step methods for differential equations.

MINING ENGINEERING

(1) Mechanics: Equivalent force systems; Equations of equilibrium; Two dimensional frames and trusses; Free body diagrams; Friction forces; Particle kinematics and dynamics.

(2) Mine Development, Geomechanics and Ground Control: Methods of access to deposits; Underground drivages; Drilling methods and machines; Explosives, blasting devices and practices.

(3) Geo-technical properties of rocks; Rock mass classification; Ground control, instrumentation and stress measurement techniques; Theories of rock failure; Ground vibrations; Stress distribution around mine openings; Subsidence; Design of supports in roadways and workings; Rock bursts and coal bumps; Slope stability.

(4) Mining Methods and Machinery: Surface mining: layout, development, loading, transportation and mechanization, continuous surface mining systems; Underground coal mining: bord and pillar systems, room and pillar mining, longwall mining, thick seam mining methods; Underground metal mining : open, supported and caved stoping methods, stope mechanization, ore handling systems, mine filling.

(5) Generation and transmission of mechanical, hydraulic and pneumatic power; Materials handling: haulages, conveyors, face and development machinery, hoisting systems, pumps.

(6) Ventilation, Underground Hazards and Surface Environment: Underground atmosphere; Heat load sources and thermal environment, air cooling; Mechanics of air flow, distribution, natural and mechanical ventilation; Mine fans and their usage; Auxiliary ventilation; Ventilation planning.

(7) Subsurface hazards from fires, explosions, gases, dust and inundation; Rescue apparatus and practices; Safety in mines, accident analysis, noise, mine lighting, occupational health and risk.

(8) Air, water and soil pollution : causes, dispersion, quality standards, reclamation and control.

(9) Surveying, Mine Planning and Systems Engineering: Fundamentals of engineering surveying; Levels and leveling, theodolite, tacheometry, triangulation, contouring, errors and adjustments, correlation; Underground surveying; Curves; Photogrammetry; Field astronomy; EDM, total station and GPS fundamentals.

(10) Principles of planning: Sampling methods and practices, reserve estimation techniques, basics of geostatistics and quality control, optimization of facility location, cash flow concepts and mine valuation, open pit design; GIS fundamentals.

(11) Work-study; Concepts of reliability, reliability of series and parallel systems. Linear programming, transportation and assignment problems, queueing, network analysis, basics of simulation.

GATE Syllabus - Chemical Engineering

ENGINEERING MATHEMATICS:

(1) Determinants & matrices, system of linear equations, eigenvalues and eigenvectors.

(2) Calculus - mean value theorems of integral calculus, partial, total and directional derivatives, maxima and minima. Sequences and Series, convergence, Fourier series.

(3) Vector calculus - gradient, divergence and curl, line and surface integrals, Green, Gauss and Stokes’ theorems. Ordinary differential equations - first order equations linear and nonlinear equations, higher order linear equations with constant coefficients, initial and boundary value problems, Laplace transforms.

(4) Complex analysis -complex numbers, polar form of complex numbers, Powers and roots, limit, derivative, analytical functions.

(5) Probability and Statistics - concept of probability, means and variance, linear regression analysis.

PROCESS CALCULATIONS AND THERMODYNAMICS:

(1) Laws of conservation of mass and energy; use of tie components; recycle, bypass and purge calculations; degrees of freedom. First and Second laws of thermodynamics and their applications; equations of state and thermodynamic properties of real systems; phase equilibria; fugacity, excess properties and correlations of activity coefficients; chemical reaction equilibria.

(2) FLUID MECHANICS AND MECHANICAL OPERATIONS: Fluid statics, Newtonian and non-Newtonian fluids, Macroscopic energy balance, Bernoulli equation, dimensional analysis, continuity equation, flow through pipeline systems, flow meters, pumps and compressors, packed and fluidized beds, elementary boundary layer theory, size reduction and size separation; free and hindered settling; centrifuges and cyclones; thickening and classification, filtration; mixing and agitation; conveying of solids.

HEAT TRANSFER:

(1) Conduction, convection and radiation, heat transfer coefficients, steady and unsteady heat conduction, Boiling, condensation and evaporation; types of heat exchangers and evaporators and their design.

(2) MASS TRANSFER: Fick’s law, mass transfer coefficients, Film, penetration and surface renewal theories; momentum, heat and mass transfer analogies; stagewise and continuous contacting and stage efficiencies; design and operation of equipment for distillation, absorption, leaching, liquid-liquid extraction, crystallization, drying, humidification, dehumidification and adsorption.

CHEMICAL REACTION ENGINEERING:

Theories of reaction rates; Kinetics of homogeneous reactions, interpretation of kinetic data, single and multiple reactions in ideal reactors, non-ideal reactors; non-isothermal reactors; kinetics of heterogeneous catalytic reactions; diffusional effects in catalysis.

INSTRUMENTATION AND PROCESS CONTROL:

Measurement of process variables; dynamics of simple systems such as CSTRs, heat exchangers etc.; transfer functions and responses of simple systems, process reaction curve, controller modes (P, PI, and PID); control valves; analysis of closed loop systems including stability, frequency response (including Bode plots) and controller tuning.


PLANT DESIGN AND ECONOMICS:

Design of chemical engineering equipment; principles of process economics and cost estimation.

CHEMICAL TECHNOLOGY:

Inorganic chemical industries; sulfuric acid, NaOH, fertilizers; natural products industries (Pulp and Paper, Sugar, Oil, and Fats); petroleum refining and petrochemicals; polymerization industries: polyethylene, polypropylene and synthetic fibres.

GATE Syllabus - Mechnical Engineering

ENGINEERING MATHEMATICS

(1) Linear Algebra:
Algebra of matrices, system of linear equations, eigen values and eigen vectors

(2) Calculus:
Taylor series, fourier series, partial derivatives, total derivatives, definite and improper integrals, mmultiple integrals

(3) Vector Calculus:
Gradient, divergence and curl, line and surface integrals, Green, Gauss, and Stokes theorem

(4) Differential Equations:
Linear ODE’s, First order non-linear ODE’s, initial and boundary value problems, Laplace Transform, PDE’s-laplace, wave and diffusion equations.

(5) Numerical methods:
Solution of system of linear equations, interpolation, numerical integration, newton-raphson method, runge-kutta method.

(6) Probability and statics:
Gaussian, Weibul distribution and their properties, method of least squares , regrassion analysis, analysis of variance.

APPLIED MECHANICS AND DESIGN

(1) Engineering Mechanics:
Equivalent force systems, free-body concepts, equations of equilibrium, trusses and frames, virtual work and minimum potential energy. Kinematics and dynamics of particles and rigid bodies, impulse and momentum , energy methods, central force motion.

(2) Strength of Materials:
Stress and strainm, Elastic constants, stress-strain relationship, Mohr’s circle, deflection of beams, bending and shear stress, shear force and bending moment diagrams, torsion of circular shafts, thin thick cylinders, Eulers theory of columns, strain energy methods, thermal stress.

(3) Theory of machines:
Analysis of plane mechanisms, dynamic analysis of slider-crank mechanism, planer cams and followers, grear tooth profiles, kinematics and design of gears, governors and flywheels, balancing of reciprocating and rotating masses.

(4) Vibrations:
Free and forced vibrations of single degree freedom systems, effect of damping, vibration isolation, resonance, critical speed shafts.

(5) Design of Machine Elements:
Desing for statics and dynamic loading, fatigue strength, failure theories, design of bolted, riveted and welded joints, design of shafts and keys, design of spur gears, brakes and clutches, rolling and sliding contact bearings , belt, ropes and chain drives.

THERMAL SCIENCE AND ENGINEERING

(1) Fluid Mechanics:
Fluid properties, fluid statics, manumetry, buoyancy, control-volume analysis of mass, momentum and energy, fluid acceleration, differential equation of contunuity and momentum. Bernouli’s equation. Viscous flow of incompressible fluids; boudary layer, flow through pipes, head losses in pipes, bends etc.

(2) Turbo machines:
velocity triangles Euler’s equation, specific speed, Pelton wheel, centrifugal pump, Francis and Kaplan turbines.

(3) Heat-Transfer:
Modes of heat transfer, one dimentional heat conduction, resistance concept, electrical analogy, unsteady heat conduction, fins, dimensionless parameters in free and forced convective heat layer, effect of turbulence, radiative heat transfer, black and grey sufaces shape factors, networ analysis, heat exchanger performance, LMTD and NTU methods.

(4) Thermodynamics:
Zeroth, fact and second laws of thermodynamics, themodynamic system and processes, irreversibility and availability, behaviour of ideal and real gases, properties of pure substances, calculation of work and heat in ideal processes. Analysis of thermodynamics cycles related to energy conversion. Carnot, Rankine, Otto, Diesel, Brayton and Vapour compression cycle.

(5) Steam engineering:
Steam generators, Steam engines, steam turbines-impulse and reaction, velocity diagrams, compounding, reheat factor.

(6) I.C. Engines:
Requirements and suitability of fuels in IC engines, fuel ratings, fuel- air mixture requirements, normal combustion in SI and CI engines, engine performance calculations, componenets of gas turbine.

(7) Reciprocating Air Compressor:
Isothermal, adiabatic and polytropic compression, staging the compression process, intercooling and aftercooling, minimum work requirement, volumentric efficiency. Centrifugal and aial flow compressors.

(8) Refrigeration and air-conditioning:
Refrigerant compressros, expansion devices, condensers and evaporators, properties of moist air, psychrometric chart, basic psychrometric processes.

MANUFACTURING AND INDUSTRIAL ENGINEERING

(1) Engineering meterials:
Structure and properties of engineering materials and their applications, heat treatment.

(2) Metal casting:
Casting processes- pattern making, moulds and cores, solidification, design of casting, casting defects.

(3) Metal working:
Stress-strain diagrams for ductile and brittle material, plastic deformation, machanisms, fundamentals of hot and cold working processes-forging, extrusion, wire drawing, hseet metal working, punching, blanking, bending, deep drawing, coining and spinning.

(4) Machining Processes and Machine Tool Operation:
Mechanics of metal cutting, single and multipoint cutting tools, geometry and machining aspects, tool life, machinability, economics of machining, non- traditional machining processes.

(5) Metrology and Inspection:
Limits, fits and tolerances, linear and angular measurements, comparators, gauge design interferometry,form and finish measurement, measurement of screw threads, alignment and testing methods.

(6) Tool Engineering:
Principles of work holding, design of jigs and fixtures, design of press working tools.

(7) Manufacturing Analysis:
Part-print analysis, tolerance analysis in manufactureing and assembly, time and cost analysis.

(8) Computer Integrated Manufacturing:
Basic concepts of CAD, CAM , Group technology.

(9) Work Study:
Method study, work measurement time study, work sampling, job evaluation, merit rating.

(10) Production planning and control:
Forecating models, aggregate production planning, master scheduling, materials requierments planning.

(11) Inventory control:
Deterministic and probabilistic models, safety stock inventory control systems.

(12) Operations Research:
Linear programming, simplex and duplex method, transportation, assignment, network flow models, simple queuing models, PERT and CPM.

GATE Syllabus - Civil Engineering

ENGINEERING MATHEMATICS

(1) Linear Algebra: Matrix algebra, Systems of linear equations, Eigen values and eigenvectors.

(2) Calculus: Functions of single variable, Limit, continuity and differentiability, Mean value theorems, Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima, Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green’s theorems.

(3) Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Cauchy’s and Euler’s equations, Initial and boundary value problems, Laplace transforms, Solutions of one dimensional heat and wave equations and Laplace equation.

(4) Complex variables: Analytic functions, Cauchy’s integral theorem, Taylor and Laurent series.

(5) Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions.

(6) Numerical Methods: Numerical solutions of linear and non-linear algebraic equations Integration by trapezoidal and Simpson’s rule, single and multi-step methods for differential equations.

STRUCTURAL ENGINEERING

(1) Mechanics: Bending moment and shear force in statically determinate beams. Simple stress and strain relationship: Stress and strain in two dimensions, principal stresses, stress transformation, Mohr’s circle. Simple bending theory, flexural and shear stresses, unsymmetrical bending, shear centre. Thin walled pressure vessels, uniform torsion, buckling of column, combined and direct bending stresses.

(2) Structural Analysis: Analysis of statically determinate trusses, arches, beams, cables and frames, displacements in statically determinate structures and analysis of statically indeterminate structures by force/ energy methods, analysis by displacement methods (slope deflection and moment distribution methods), influence lines for determinate and indeterminate structures. Basic concepts of matrix methods of structural analysis.

(3) Concrete Structures: Concrete Technology- properties of concrete, basics of mix design. Concrete design- basic working stress and limit state design concepts, analysis of ultimate load capacity and design of members subjected to flexure, shear, compression and torsion by limit state methods. Basic elements of prestressed concrete, analysis of beam sections at transfer and service loads.

(4) Steel Structures: Analysis and design of tension and compression members, beams and beam- columns, column bases. Connections- simple and eccentric, beam-column connections, plate girders and trusses. Plastic analysis of beams and frames.

GEOTECHNICAL ENGINEERING

(1) Soil Mechanics: Origin of soils, soil classification, three - phase system, fundamental definitions, relationship and interrelationships, permeability and seepage, effective stress principle, consolidation, compaction, shear strength.

(2) Foundation Engineering: Sub-surface investigations- scope, drilling bore holes, sampling, penetration tests, plate load test. Earth pressure theories, effect of water table, layered soils. Stability of slopes- infinite slopes, finite slopes. Foundation types- foundation design requirements. Shallow foundations- bearing capacity, effect of shape, water table and other factors, stress distribution, settlement analysis in sands and clays. Deep foundations - pile types, dynamic and static formulae, load capacity of piles in sands and clays, negative skin friction. WATER RESOURCES ENGINEERING

(3) Fluid Mechanics and Hydraulics: Properties of fluids, principle of conservation of mass, momentum, energy and corresponding equations, potential flow, applications of momentum and Bernoulli’s equation, laminar and turbulent flow, flow in pipes, pipe networks. Concept of boundary layer and its growth. Uniform flow, critical flow and gradually varied flow in channels, specific energy concept, hydraulic jump. Forces on immersed bodies, flow measurements in channels, tanks and pipes. Dimensional analysis and hydraulic modeling. Kinematics of flow, velocity triangles and specific speed of pumps and turbines.

(4) Hydrology: Hydrologic cycle, rainfall, evaporation, infiltration, stage discharge relationships, unit hydrographs, flood estimation, reservoir capacity, reservoir and channel routing. Well hydraulics.

(5) Irrigation: Duty, delta, estimation of evapo-transpiration. Crop water requirements. Design of: lined and unlined canals, waterways, head works, gravity dams and spillways. Design of weirs on permeable foundation. Types of irrigation system, irrigation methods. Water logging and drainage, sodic soils.

ENVIRONMENTAL ENGINEERING

(1) Water requirements: Quality standards, basic unit processes and operations for water treatment. Drinking water standards, water requirements, basic unit operations and unit processes for surface water treatment, distribution of water. Sewage and sewerage treatment, quantity and characteristics of wastewater. Primary, secondary and tertiary treatment of wastewater, sludge disposal, effluent discharge standards. Domestic wastewater treatment, quantity of characteristics of domestic wastewater, primary and secondary treatment Unit operations and unit processes of domestic wastewater, sludge disposal.

(2) Air Pollution: Types of pollutants, their sources and impacts, air pollution meteorology, air pollution control, air quality standards and limits.

(3) Municipal Solid Wastes: Characteristics, generation, collection and transportation of solid wastes, engineered systems for solid waste management (reuse/ recycle, energy recovery, treatment and disposal).

(4) Noise Pollution: Impacts of noise, permissible limits of noise pollution, measurement of noise and control of noise pollution.

TRANSPORTATION ENGINEERING

(1) Highway Planning: Geometric design of highways, testing and specifications of paving materials, design of flexible and rigid pavements.

(2) Traffic Engineering: Traffic characteristics, theory of traffic flow, intersection design, traffic signs and signal design, highway capacity.


SURVEYING

Importance of surveying, principles and classifications, mapping concepts, coordinate system, map projections, measurements of distance and directions, leveling, theodolite traversing, plane table surveying, errors and adjustments, curves.

All You Need To Know About GATE

All Engineering students have to make a choice that defines their career. The three most popular options among the engineers are:

  • A job.
  • Management.
  • M.Tech.

It’s not necessary that 100% of the engineering students get placed in one or the other company. In such a situation they have to make a choice between Management and M.Tech. In the past, a large crowd was diverted towards management in order to achieve a lum-sum amount of money. But if we consider the present scenario, then we can’t under-estimate the next option i.e. M.Tech. In order to support this fact, we want to let you know that the number of students appearing in GATE has been increasing every year.

Many people are good at management, and if they have interest in pursuing a management degree then they should opt for the management. However, M.Tech provides a direction for a research-oriented job or a faculty position in a university. One may even take up a management position in a research-based enterprise through M.Tech. In all the choice between both kinds of careers depends completely on an individual and its area of interest. After making a choice, what he or she needs to do is to prepare well for it that requires proper understanding of the option chosen. So here is the beginning…

  • Some Engineering colleges / institutes specify GATE as a mandatory qualification for the admission of students to Postgraduate Programmes.
  • Admission to Postgraduate Programmes, with MHRD and other government scholarship / assistantship, in engineering / Technology / Architecture / Pharmacy / Science at Engineering colleges / institutes in the country will be available only to those who qualify through GATE.
  • GATE qualification by itself doesn’t guarantee either admission or scholarship / assistantship. The candidate is required to find the procedure of final selection and award of scholarship / Assistantship from the Institutions to which the candidate seeks admission.
  • Gate qualified candidates in Engineering / Technology disciplines are eligible for the award of the Junior Research Fellowship in CSIR Laboratories. GATE qualification also serves as a requirement for applying to the Post of Scientists in some Government Organizations.

6 Reasons Why You Should Appear For GATE?

In order to pursue M.Tech program in a leading institute of the country we must opt for GATE. The benefits of M.Tech are as listed below:

1. Companies coming for Campus Placement in leading Institutes are better as well as large in number.

2. Salaries offered for M.Tech are higher as compared to B.E.

3. M.Tech degree leads to specialization and furthering of interest in a certain area which may lead to Ph.D

4. M.Tech degree is a must for those wishing to apply for Faculty/Research positions in educational Institutes/R&D centers.

5. Scholarship of Rs. 5000.0 per month by the Government of India is paid during the entire period of 18 months of M.Tech.

6. The M.Tech program is a 3 semester (18 months) program.

NOTE

1. Candidates who get less than 70 percentile get no score card.

2. After publication of GATE results, students must apply to individual Institutes to get their application forms.

3. Institutes advertise M.Tech admissions in leading newspapers from 1st April till end July. However some Institutes do not advertise and therefore students have to get the forms themselves.

4. The concerned Institute may conduct written test and/or interview for the purpose of admission.

5. If your Gate score in Computer Science is

  • 96 percentile or more then try for IITs.
  • In between 85 - 96 percentile then apply for top RECs, JADAVPUR, SHIBPUR, ROORKEE, etc.
  • Less than 85 - look for appropriate institutes.