GATE 2026 Syllabus
Common for all branches: Gate General Aptitude Syllabus
Verbal Aptitude
Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
Basic vocabulary: words, idioms, and phrases in context, reading and comprehension, Narrative sequencing.
Quantitative Aptitude
Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series Mensuration and geometry Elementary statistics and probability.
Analytical Aptitude
Logic: deduction and induction, Analogy, Numerical relations and reasoning.
Spatial Aptitude
Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping paper folding, cutting, and patterns in 2 and 3 dimensions.
GATE Exam 2026 Syllabus for Computer science, Civil, Electrical, Instrumentation, Electronic and Mechanical
- Computer Science and Engineering
Section 1: Engineering Mathematics
Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Monoids, Groups. Graphs: connectivity, matching, colouring. Combinatorics: counting, recurrence relations, generating functions.
Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition.
Calculus: Limits, continuity and differentiability, Maxima and minima, Mean value theorem, Integration.
Probability and Statistics: Random variables, Uniform, normal, exponential, Poisson and binomial
distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.
Section 2: Digital Logic
Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and
computer arithmetic (fixed and floating point).
Section 3: Computer Organization and Architecture
Machine instructions and addressing modes. ALU, data‐path and control unit. Instruction pipelining,
pipeline hazards. Memory hierarchy: cache, main memory and secondary storage; I/O interface (interrupt
and DMA mode).
Section 4: Programming and Data Structures
Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
Section 5: Algorithms
Searching, sorting, hashing. Asymptotic worst case time and space complexity. Algorithm design
techniques: greedy, dynamic programming and divide‐and‐conquer. Graph traversals, minimum spanning trees, shortest paths.
Section 6: Theory of Computation
Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and context-free languages, pumping lemma. Turing machines and undecidability.
Section 7: Compiler Design
Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code
generation. Local optimisation, Data flow analyses: constant propagation, liveness analysis, common sub expression elimination.
Section 8: Operating System
System calls, processes, threads, inter‐process communication, concurrency and synchronization.
Deadlock. CPU and I/O scheduling. Memory management and virtual memory. File systems.
Section 9: Databases
ER‐model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal forms.
File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control.
Section 10: Computer Networks
Concept of layering: OSI and TCP/IP Protocol Stacks; Basics of packet, circuit and virtual circuitswitching; Data link layer: framing, error detection, Medium Access Control, Ethernet bridging; Routing protocols: shortest path, flooding, distance vector and link state routing; Fragmentation and IP addressing,
IPv4, CIDR notation, Basics of IP support protocols (ARP, DHCP, ICMP), Network Address Translation
(NAT); Transport layer: flow control and congestion control, UDP, TCP, sockets; Application layer
protocols: DNS, SMTP, HTTP, FTP, Email.
- Civil Engineering
Section 1: Engineering Mathematics
Linear Algebra: Matrix algebra; Systems of linear equations; Eigen values and Eigen vectors.
Calculus: Functions of single variable; Limit, continuity and differentiability; Mean value
Theorems, local maxima and minima; Taylor series; Evaluation of definite and indefinite integrals,
Application of definite integral to obtain area and volume; Partial derivatives; Total derivative;
Gradient, Divergence and Curl, Vector identities; Directional derivatives; Line, Surface and
Volume integrals.
Ordinary Differential Equation (ODE): First order (linear and non-linear) equations; higher order
Linear equations with constant coefficients; Euler-Cauchy equations; initial and boundary value
Problems.
Partial Differential Equation (PDE): Fourier series; Separation of variables; solutions of one-dimensional
diffusion equation; first and second order one-dimensional wave equation and two-dimensional Laplace
equation.
Probability and Statistics: Sampling theorems; Conditional probability; Descriptive statistics –
Mean, median, mode and standard deviation; Random Variables – Discrete and Continuous,
Poisson and Normal Distribution; Linear regression.
Numerical Methods: Error analysis. Numerical solutions of linear and non-linear algebraic
Equations; Newton’s and Lagrange polynomials; numerical differentiation; Integration by
Trapezoidal and Simpson’s rule; Single and multi-step methods for first order differential
Equations.
Section 2: Structural Engineering
Engineering Mechanics: System of forces, free-body diagrams, equilibrium equations; Internal
Forces in structures; Frictions and its applications; Centre of mass; Free Vibrations of undammed
SDOF system.
Solid Mechanics: Bending moment and shear force in statically determinate beams; Simple stress
And strain relationships; simple bending theory, flexural and shear stresses, shear center; Uniform
Torsion, Transformation of stress; buckling of column, combined and direct bending stresses.
Structural Analysis: Statically determinate and indeterminate structures by force/ energy methods;
Method of superposition; Analysis of trusses, arches, beams, cables and frames; Displacement
Methods: Slope deflection and moment distribution methods; Influence lines; Stiffness and
Flexibility methods of structural analysis.
Construction Materials and Management: Construction Materials: Structural Steel – Composition,
material properties and behaviour; Concrete - Constituents, mix design, short-term and long-term
properties. Construction Management: Types of construction projects; Project planning and
network analysis - PERT and CPM; Cost estimation.
Concrete Structures: Working stress and Limit state design concepts; Design of beams, slabs,
columns; Bond and development length; Prestressed concrete beams.
Steel Structures: Working stress and Limit state design concepts; Design of tension and
compression members, beams and beam- columns, column bases; Connections - simple and
eccentric, beam-column connections, plate girders and trusses; Concept of plastic analysis -beams
and frames.
Section 3: Geotechnical Engineering
Soil Mechanics: Three-phase system and phase relationships, index properties; Unified and Indian
standard soil classification system; Permeability - one dimensional flow, Seepage through soils –
two - dimensional flow, flow nets, uplift pressure, piping, capillarity, seepage force; Principle of
effective stress and quicksand condition; Compaction of soils; One- dimensional consolidation,
time rate of consolidation; Shear Strength, Mohr’s circle, effective and total shear strength
parameters, Stress-Strain characteristics of clays and sand; Stress paths.
Foundation Engineering: Sub-surface investigations - Drilling bore holes, sampling, plate load
test, standard penetration and cone penetration tests; Earth pressure theories - Rankine and
Coulomb; Stability of slopes – Finite and infinite slopes, Bishop’s method; Stress distribution in
soils – Boussinesq’s theory; Pressure bulbs, Shallow foundations – Terzaghi’s and Meyerhoff’s
bearing capacity theories, effect of water table; Combined footing and raft foundation; Contact
pressure; Settlement analysis in sands and clays; Deep foundations – dynamic and static formulae,
Axial load capacity of piles in sands and clays, pile load test, pile under lateral loading, pile group
efficiency, negative skin friction.
Section 4: Water Resources Engineering
Fluid Mechanics: Properties of fluids, fluid statics; Continuity, momentum and energy equations
and their applications; Potential flow, Laminar and turbulent flow; Flow in pipes, pipe networks;
Concept of boundary layer and its growth; Concept of lift and drag.
Hydraulics: Forces on immersed bodies; Flow measurement in channels and pipes; Dimensional
analysis and hydraulic similitude; Channel Hydraulics - Energy-depth relationships, specific
energy, critical flow, hydraulic jump, uniform flow, gradually varied flow and water surface
profiles.
Hydrology: Hydrologic cycle, precipitation, evaporation, evapo-transpiration, watershed,
infiltration, unit hydrographs, hydrograph analysis, reservoir capacity, flood estimation and
routing, surface run-off models, ground water hydrology - steady state well hydraulics and
aquifers; Application of Darcy’s Law.
Irrigation: Types of irrigation systems and methods; Crop water requirements - Duty, delta,
evapotranspiration; Gravity Dams and Spillways; Lined and unlined canals, Design of weirs on
permeable foundation; cross drainage structures.
Section 5: Environmental Engineering
Water and Waste Water Quality and Treatment: Basics of water quality standards – Physical,
chemical and biological parameters; Water quality index; Unit processes and operations; Water
requirement; Water distribution system; Drinking water treatment.
Sewerage system design, quantity of domestic wastewater, primary and secondary treatment.
Effluent discharge standards; Sludge disposal; Reuse of treated sewage for different applications.
Air Pollution: Types of pollutants, their sources and impacts, air pollution control, air quality
standards, Air quality Index and limits.
Municipal Solid Wastes: Characteristics, generation, collection and transportation of solid wastes,
engineered systems for solid waste management (reuse/ recycle, energy recovery, treatment and
disposal).
Section 6: Transportation Engineering
Transportation Infrastructure: Geometric design of highways - cross-sectional elements, sight
Distances, horizontal and vertical alignments.
Geometric design of railway Track – Speed and Cant.
Concept of airport runway length, calculations and corrections; taxiway and exit taxiway design.
Highway Pavements: Highway materials - desirable properties and tests; Desirable properties of
Bituminous paving mixes; Design factors for flexible and rigid pavements; Design of flexible and
Rigid pavement using IRC codes.
Traffic Engineering: Traffic studies on flow and speed, peak hour factor, accident study, statistical
analysis of traffic data; Microscopic and macroscopic parameters of traffic flow, fundamental
relationships; Traffic signs; Signal design by Webster’s method; Types of intersections; Highway
Capacity.
Section 7: Geomatics Engineering
Principles of surveying; Errors and their adjustment; Maps - scale, coordinate system; Distance
and angle measurement - Levelling and trigonometric levelling; Traversing and triangulation
survey; Total station; Horizontal and vertical curves.
Photogrammetry and Remote Sensing - Scale, flying height; Basics of remote sensing and GIS.
- 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 groups, parallel
operation; Auto-transformer, Electromechanical energy conversion principles; DC machines:
separately excited, series and shunt, motoring and generating mode of operation and their
characteristics, speed control of dc motors; Three-phase induction machines: principle of
operation, types, performance, torque-speed characteristics, no-load and blocked-rotor tests,
equivalent circuit, starting and speed control; Operating principle of single-phase induction
motors; Synchronous machines: cylindrical and salient pole machines, performance and
characteristics, regulation and parallel operation of generators, starting of synchronous motors;
Types of losses and efficiency calculations of electric machines.
Section 6: Power Systems
Basic concepts of electrical power generation, AC and DC transmission concepts, Models and
performance of transmission lines and cables, Economic Load Dispatch (with and without
considering transmission losses), Series and shunt compensation, Electric field distribution and
insulators, Distribution systems, Per‐unit quantities, Bus admittance matrix, Gauss- Seidel and
Newton-Raphson load flow methods, Voltage and Frequency control, Power factor correction,
Symmetrical components, Symmetrical and unsymmetrical fault analysis, Principles of over‐
current, differential, directional and distance protection; Circuit breakers, System stability
concepts, Equal area criterion.
Section 7: Control Systems
Mathematical modelling and representation of systems, Feedback principle, transfer function,
Block diagrams and Signal flow graphs, Transient and Steady‐state analysis of linear time
invariant systems, Stability analysis using Routh-Hurwitz and Nyquist criteria, Bode plots, Root
loci, Lag, Lead and Lead‐Lag compensators; P, PI and PID controllers; State space model, Solution
of state equations of LTI systems.
Section 8: Electrical and Electronic Measurements
Bridges and Potentiometers, Measurement of voltage, current, power, energy and power factor;
Instrument transformers, Digital voltmeters and multi-meters, Phase, Time and Frequency
measurement; Oscilloscopes, Error analysis.
Section 9: Analog and Digital Electronics
Simple diode circuits: clipping, clamping, rectifiers; Amplifiers: biasing, equivalent circuit and
frequency response; oscillators and feedback amplifiers; operational amplifiers: characteristics and
applications; single stage active filters, Active Filters: Sallen Key, Butterwoth, VCOs and timers, combinatorial and sequential logic circuits, multiplexers, demultiplexers, Schmitt triggers, sample
and hold circuits, A/D and D/A converters.
Section 10: Power Electronics
Static V-I characteristics and firing/gating circuits for Thyristor, MOSFET, IGBT; DC to DC
conversion: Buck, Boost and Buck-Boost Converters; Single and three-phase configuration of
uncontrolled rectifiers; Voltage and Current commutated Thyristor based converters; Bidirectional
ac to dc voltage source converters; Magnitude and Phase of line current harmonics for uncontrolled
and thyristor based converters; Power factor and Distortion Factor of AC to DC converters; Single phase and three-
phase voltage and current source inverters, sinusoidal pulse width modulation.
- Electronics engineering
Section 1: Engineering Mathematics
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 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 Stokes’ theorems.
Complex Analysis: Analytic functions, Cauchy’s integral theorem, Cauchy’s integral formula,
sequences, series, convergence tests, Taylor and Laurent series, residue theorem.
Probability and Statistics: Mean, median, mode, standard deviation, combinatorial probability,
probability distributions, binomial distribution, Poisson distribution, exponential distribution,
normal distribution, joint and conditional probability.
Section 2: Networks, Signals and Systems
Circuit Analysis: Node and mesh analysis, superposition, Thevenin's theorem, Norton’s theorem,
reciprocity. Sinusoidal steady state analysis: phasors, complex power, maximum power transfer.
Time and frequency domain analysis of linear circuits: RL, RC and RLC circuits, solution of
network equations using Laplace transform.
Linear 2-port network parameters, wye-delta transformation.
Continuous-time Signals: Fourier series and Fourier transform, sampling theorem and
Discrete-time Signals: DTFT, DFT, z-transform, discrete-time processing of continuous-time
signals. LTI systems: definition and properties, causality, stability, impulse response, convolution,
poles and zeroes, frequency response, group delay, phase delay.
Section 3: Electronic Devices
Energy bands in intrinsic and extrinsic semiconductors, equilibrium carrier concentration, direct
and indirect band-gap semiconductors.
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, photo diode and solar cell.
Section 4: Analog Circuits
Diode Circuits: Clipping, clamping and rectifiers.
BJT and MOSFET Amplifiers: Biasing, AC coupling, small signal analysis, frequency response.
Current mirrors and differential amplifiers.
Op-amp Circuits: Amplifiers, summers, differentiators, integrators, active filters, Schmitt triggers
and oscillators.
Section 5: Digital Circuits
Number Representations: Binary, integer and floating-point- numbers. 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,
Sequential Circuits: Latches and flip-flops, counters, shift-registers, finite state machines,
propagation delay, setup and hold time, critical path delay.
Data Converters: Sample and hold circuits, ADCs and DACs.
Semiconductor Memories: ROM, SRAM, DRAM.
Computer Organization: Machine instructions and addressing modes, ALU, data-path and control
unit, instruction pipelining.
Section 6: 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.
Section 7: Communications
Random Processes: Auto correlation 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, super heterodyne receivers.
Information Theory: Entropy, mutual information and channel capacity theorem.
Digital Communications: PCM, DPCM, digital modulation schemes (ASK, PSK, FSK, QAM),
bandwidth, inter-symbol interference, MAP, ML detection, matched filter receiver, SNR and BER.
Fundamentals of error correction, Hamming codes, CRC.
Section 8: Electromagnetics
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. Rectangular and circular waveguides, light propagation
in optical fibers, dipole and monopole antennas, linear antenna arrays.
- Mechanical Engineering
Section 1: Engineering Mathematics
Linear Algebra: Matrix algebra, systems of linear equations, eigen values and eigen vectors.
Calculus: Functions of single variable, limit, continuity and differentiability, mean value theorems,
indeterminate forms; evaluation of definite and improper integrals; double and triple integrals;
partial derivatives, total derivative, Taylor series (in one and two variables), maxima and minima,
Fourier series; gradient, divergence and curl, vector identities, directional derivatives, line, surface
and volume integrals, applications of Gauss, Stokes and Green’s theorems.
Differential Equations: First order equations (linear and nonlinear); higher order linear differential
equations with constant coefficients; Euler-Cauchy equation; initial and boundary value problems;
Laplace transforms; solutions of heat, wave and Laplace's equations.
Complex Variables: Analytic functions; Cauchy-Riemann equations; Cauchy’s integral theorem
and integral formula; Taylor and Laurent series.
Probability and Statistics: Definitions of probability, sampling theorems, conditional probability;
mean, median, mode and standard deviation; random variables, binomial, Poisson and normal
Numerical Methods: Numerical solutions of linear and non-linear algebraic equations; integration
by trapezoidal and Simpson’s rules; single and multi-step methods for differential equations.
Section 2: Applied Mechanics and Design
Engineering Mechanics: Free-body diagrams and equilibrium; friction and its applications
including rolling friction, belt-pulley, brakes, clutches, screw jack, wedge, vehicles, etc.; trusses
and frames; virtual work; kinematics and dynamics of rigid bodies in plane motion; impulse and
momentum (linear and angular) and energy formulations; Lagrange’s equation.
Mechanics of Materials: Stress and strain, elastic constants, Poisson's ratio; Mohr’s circle for plane
stress and plane strain; thin cylinders; shear force and bending moment diagrams; bending and
shear stresses; concept of shear centre; deflection of beams; torsion of circular shafts; Euler’s
theory of columns; energy methods; thermal stresses; strain gauges and rosettes; testing of
materials with universal testing machine; testing of hardness and impact strength.
Theory of Machines: Displacement, velocity and acceleration analysis of plane mechanisms;
dynamic analysis of linkages; cams; gears and gear trains; flywheels and governors; balancing of
reciprocating and rotating masses; gyroscope.
Vibrations: Free and forced vibration of single degree of freedom systems, effect of damping;
vibration isolation; resonance; critical speeds of shafts.
Machine Design: Design for static and dynamic loading; failure theories; fatigue strength and the S-N diagram; principles of the design of machine elements such as bolted, riveted and welded joints; shafts, gears, rolling and sliding contact bearings, brakes and clutches, springs.
Section 3: Fluid Mechanics and Thermal Sciences
Fluid Mechanics: Fluid properties; fluid statics, forces on submerged bodies, stability of floating
bodies; control-volume analysis of mass, momentum and energy; fluid acceleration; differential
equations of continuity and momentum; Bernoulli’s equation; dimensional analysis; viscous flow
of incompressible fluids, boundary layer, elementary turbulent flow, flow through pipes, head
losses in pipes, bends and fittings; basics of compressible fluid flow.
Heat Transfer: Modes of heat transfer; one dimensional heat conduction, resistance concept and
electrical analogy, heat transfer through fins; unsteady heat conduction, lumped parameter system, Heisler's charts; thermal boundary layer, dimensionless parameters in free and forced convective heat transfer, heat transfer correlations for flow over flat plates and through pipes, effect of turbulence; heat exchanger performance, LMTD and NTU methods; radiative heat transfer, StefanBoltzmann law, Wien's displacement law, black and grey surfaces, view factors, radiation network analysis
Thermodynamics: Thermodynamic systems and processes; properties of pure substances, behavior
of ideal and real gases; zeroth and first laws of thermodynamics, calculation of work and heat in
various processes; second law of thermodynamics; thermodynamic property charts and tables,
availability and irreversibility; thermodynamic relations.
Applications: Power Engineering: Air and gas compressors; vapour and gas power cycles,
concepts of regeneration and reheat. I.C. Engines: Air-standard Otto, Diesel and dual cycles.
Refrigeration and air-conditioning: Vapour and gas refrigeration and heat pump cycles; properties
of moist air, psychrometric chart, basic psychrometric processes. Turbomachinery: Impulse and
reaction principles, velocity diagrams, Pelton-wheel, Francis and Kaplan turbines; steam and gas
Section 4: Materials, Manufacturing and Industrial Engineering
Engineering Materials: Structure and properties of engineering materials, phase diagrams, heat
treatment, stress-strain diagrams for engineering materials.
Casting, Forming and Joining Processes: Different types of castings, design of patterns, moulds
and cores; solidification and cooling; riser and gating design. Plastic deformation and yield criteria;
fundamentals of hot and cold working processes; load estimation for bulk (forging, rolling,
extrusion, drawing) and sheet (shearing, deep drawing, bending) metal forming processes;
principles of powder metallurgy. Principles of welding, brazing, soldering and adhesive bonding.
Machining and Machine Tool Operations: Mechanics of machining; basic machine tools; single
and multi-point cutting tools, tool geometry and materials, tool life and wear; economics of
machining; principles of non-traditional machining processes; principles of work holding, jigs and
fixtures; abrasive machining processes; NC/CNC machines and CNC programming.
Metrology and Inspection: Limits, fits and tolerances; linear and angular measurements;
comparators; interferometry; form and finish measurement; alignment and testing methods;
tolerance analysis in manufacturing and assembly; concepts of coordinate-measuring machine
Computer Integrated Manufacturing: Basic concepts of CAD/CAM and their integration tools;
additive manufacturing.
Production Planning and Control: Forecasting models, aggregate production planning, scheduling,
materials requirement planning; lean manufacturing.
Inventory Control: Deterministic models; safety stock inventory control systems.
Operations Research: Linear programming, simplex method, transportation, assignment, network
flow models, simple queuing models, PERT and CPM.
- Instrumentation Engineering
Section 1: Engineering Mathematics
Linear Algebra: Matrix algebra, systems of linear equations, consistency and rank, Eigenvalue and
Calculus: Mean value theorems, theorems of integral calculus, partial derivatives, maxima and
minima, multiple integrals, Fourier series, vector identities, line, surface and volume integrals,
Stokes, Gauss and Green’s theorems.
Differential Equations: First order equation (linear and nonlinear), second order linear differential
equations with constant coefficients, method of variation of parameters, Cauchy’s and Euler’s
equations, initial and boundary value problems, solution of partial differential equations: variable
separable method.
Analysis of Complex Variables: Analytic functions, Cauchy’s integral theorem and integral
formula, Taylor’s and Laurent’s series, residue theorem, solution of integrals.
Probability and Statistics: Sampling theorems, conditional probability, mean, median, mode,
standard deviation and variance; random variables: discrete and continuous distributions: normal,
Poisson and binomial distributions.
Numerical Methods: Matrix inversion, solutions of non-linear algebraic equations, iterative
methods for solving differential equations, numerical integration, regression and correlation
Section 2: Electricity and Magnetism
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 3: Electrical Circuits and Machines
Voltage and Current Sources: Independent, dependent, ideal and practical; v-i relationships of
resistor, inductor, mutual inductance and capacitor; transient analysis of RLC circuits with dc
Kirchoff’s laws, mesh and nodal analysis, superposition, Thevenin, Norton, maximum power
transfer and reciprocity theorems.
Peak-, average- and rms values of AC quantities; apparent-, active- and reactive powers; phasor
analysis, impedance and admittance; series and parallel resonance, locus diagrams, realization of
basic filters with R, L and C elements. transient analysis of RLC circuits with ac excitation.
One-port and two-port networks, driving point impedance and admittance, open-, and short circuit
Single Phase Transformer: Equivalent circuit, phasor diagram, open circuit and short circuit tests,
regulation and efficiency; Three phase induction motors: principle of operation, types,
performance, torque-speed characteristics, no-load and blocked rotor tests, equivalent circuit,
starting and speed control; Types of losses and efficiency calculations of electric machines.
Section 4: Signals and Systems
Periodic, aperiodic and impulse signals; Laplace, Fourier and z-transforms; transfer function,
frequency response of first and second order linear time invariant systems, impulse response of
systems; convolution, correlation. Discrete time system: impulse response, frequency response,
pulse transfer function; DFT and FFT; basics of IIR and FIR filters.
Section 5: Control Systems
Feedback principles, signal flow graphs, transient response, steady-state-errors, Bode plot, phase
and gain margins, Routh and Nyquist criteria, root loci, design of lead, lag and lead-lag
compensators, state-space representation of systems; time-delay systems; mechanical, hydraulic
and pneumatic system components, synchro pair, servo and stepper motors, servo valves; on-off,
P, PI, PID, cascade, feed forward, and ratio controllers, tuning of PID controllers and sizing of
control valves.
Section 6: Analog Electronics
Characteristics and applications of diode, Zener diode, BJT and MOSFET; small signal analysis
of transistor circuits, feedback amplifiers. Characteristics of ideal and practical operational
amplifiers; applications of opamps: adder, subtractor, integrator, differentiator, difference
amplifier, instrumentation amplifier, precision rectifier, active filters, oscillators, signal
generators, voltage controlled oscillators and phase locked loop, sources and effects of noise and
interference in electronic circuits.
Section 7: Digital Electronics
Combinational logic circuits, minimization of Boolean functions. IC families: TTL and CMOS.
Arithmetic circuits, comparators, Schmitt trigger, multi-vibrators, sequential circuits, flip-flops,
shift registers, timers and counters; sample-and-hold circuit, multiplexer, analog-to-digital
(successive approximation, integrating, flash and sigma-delta) and digital-to-analog converters
(weighted R, R-2R ladder and current steering logic). Characteristics of ADC and DAC
(resolution, quantization, significant bits, conversion/settling time); basics of number systems,
Embedded Systems: Microprocessor and microcontroller applications, memory and input-output
interfacing; basics of data acquisition systems, basics of distributed control systems (DCS) and
programmable logic controllers (PLC).
Section 8: Measurements
SI units, standards (R, L, C, voltage, current and frequency), systematic and random errors in
measurement, expression of uncertainty - accuracy and precision, propagation of errors, linear and
weighted regression. Bridges: Wheatstone, Kelvin, Megohm, Maxwell, Anderson, Schering and
Wien for measurement of R, L, C and frequency, Q-meter. Measurement of voltage, current and
power in single and three phase circuits; ac and dc current probes; true rms meters, voltage and
current scaling, instrument transformers, timer/counter, time, phase and frequency measurements,
digital voltmeter, digital multimeter; oscilloscope, shielding and grounding.
Section 9: Sensors and Industrial Instrumentation
Resistive-, capacitive-, inductive-, piezoelectric-, Hall effect sensors and associated signal
conditioning circuits; transducers for industrial instrumentation: displacement (linear and angular),
velocity, acceleration, force, torque, vibration, shock, pressure (including low pressure), flow
(Variable head, variable area, electromagnetic, ultrasonic, turbine and open channel flow meters)
temperature (thermocouple, bolometer, RTD (3/4 wire), thermistor, pyrometer and
semiconductor); liquid level, pH, conductivity and viscosity measurement. 4-20 mA two-wire
Section 10: Communication and Optical Instrumentation
Amplitude- and frequency modulation and demodulation; Shannon's sampling theorem, pulse code
modulation; frequency and time division multiplexing, amplitude-, phase-, frequency-, quadrature
amplitude, pulse shift keying for digital modulation; optical sources and detectors: LED, laser,
photo-diode, light dependent resistor, square law detectors and their characteristics;
interferometer: applications in metrology; basics of fiber optic sensing. UV-VIS Spectrophotometers, Mass spectrometer.