GATE 2025 Syllabus
Last Updated :
17 Apr, 2024
The Graduate Aptitude Test in Engineering (GATE) is an exam that helps you in getting admission for Masters in premium institutes like IITs, NITs, etc., and also helps in getting jobs at PSUs. The GATE syllabus helps you understand where the questions will come from in the paper. In this article, we are going to discuss the GATE Syllabus of all streams for the GATE Exam.
GATE Syllabus gives you ideas about where questions will come in the exam that ultimately help you in gaining a good GATE Score. There are several streams for which the GATE Exam is conducted. But from last year, GATE 2024, GATE is going to be conducted in the Data Science and Artificial Intelligence (DA) Stream. IIT Roorkee is going to conduct the exam this year and will release the Official Notification for GATE 2025.
Want to prepare for GATE 2025 and finding the right guidance. Check out – GATE Computer Science & Information Technology 2025 and GATE Data Science and Artificial Intelligence 2025.
If you are looking for offline batches of GATE 2025, do visit – GATE 2025 – Classroom Program
GATE 2025 Syllabus
The GATE 2025 Syllabus is an important resource for candidates preparing for the GATE Examination. IIT Roorkee has not yet released the official notification, but the syllabus will be the same for every year as mentioned below. You can easily access the branch-specific GATE Syllabus PDF by clicking on the provided link in the table below. This link will allow you to download the GATE Syllabus for your respective branch.
GATE 2025 Marks Distribution
Below mentioned is the Syllabus of GATE as released by IISC Bangalore last year. Syllabus of GATE will be same this year also. Students can download the paper-wise GATE Syllabus PDF from the table. We have also mentioned the sectional weight of different sections for all the Streams.
|
Stream
|
Sectional Weightage
|
|
General Aptitude
|
Engineering Mathematics
|
Core Discipline
|
|
|
Computer Science and Information Technology (CS)
|
15 marks
|
13 marks
|
72 marks
|
|
Data Science and Artificial Intelligence (DA)
|
15 marks
|
——
|
85 marks
|
|
Aerospace Engineering (AE)
|
15 marks
|
13 marks
|
72 marks
|
|
Agricultural Engineering (AG)
|
15 marks
|
13 marks
|
72 marks
|
|
Architecture and Planning (AR)
|
15 marks
|
—–
|
Part A: 60 marks
Part B (B1 or B2): 25 marks
|
|
Bio-medical Engineering (BM)
|
15 marks
|
13 marks
|
72 marks
|
|
Biotechnology (BT)
|
15 marks
|
13 marks
|
72 marks
|
|
Civil Engineering (CE)
|
15 marks
|
13 marks
|
72 marks
|
|
Chemical Engineering (CH)
|
15 marks
|
13 marks
|
72 marks
|
|
Chemistry (CY)
|
15 marks
|
—–
|
85 marks
|
|
Electronics and Communication Engineering (EC)
|
15 marks
|
13 marks
|
72 marks
|
|
Electrical Engineering (EE)
|
15 marks
|
13 marks
|
72 marks
|
|
Environmental Science and Engineering (ES)
|
15 marks
|
13 marks
|
72 marks
|
| Ecology and Evolution (EY) |
15 marks
|
—–
|
85 marks
|
| Geomatics Engineering (GE) |
15 marks
|
—–
|
Part A: 55 marks
Part B (Section I or Section II): 30 marks
|
| Geology and Geophysics (GG) |
15 marks
|
—–
|
Part A: 25 marks
Part B (Geology or Geophysics): 60 marks
|
| Instrumentation Engineering (IN) |
15 marks
|
13 marks
|
72 marks
|
| Mathematics (MA) |
15 marks
|
—–
|
85 marks
|
| Mechanical Engineering (ME) |
15 marks
|
13 marks
|
72 marks
|
| Mining Engineering (MN) |
15 marks
|
13 marks
|
72 marks
|
|
Metrallurgical Engineering (MT)
|
15 marks
|
13 marks
|
72 marks
|
|
Naval Architecture & Marine Engineering (NM)
|
15 marks
|
13 marks
|
72 marks
|
|
Petroleum Engineering (PE)
|
15 marks
|
13 marks
|
72 marks
|
|
Physics (PH)
|
15 marks
|
—–
|
85 marks
|
|
Production and Industrial Engineering (PI)
|
15 marks
|
13 marks
|
72 marks
|
|
Statistics (ST)
|
15 marks
|
—–
|
85 marks
|
|
Textile Engineering and Fibre Science (TF)
|
15 marks
|
13 marks
|
72 marks
|
|
Engineering Sciences (XE)
|
15 marks
|
15 marks
|
70 marks
|
|
Humanities and Social Sciences (XH)
|
15 marks
|
—–
|
Reasoning & Comprehension: 25 marks
Core Discipline: 60 marks
|
|
Life Sciences (XL)
|
15 marks
|
—–
|
Chemistry: 25 marks
Core Discipline: 60 marks
|
GATE Syllabus for General Aptitude
In all the streams of GATE, General Aptitude part is common and the syllabus of General Aptitude is mentioned below. General Aptitude consists of 15 marks (15% of the paper) in GATE Paper for all streams. General Aptitude section helps in enhancing GATE Score and it is easy to solve. Score in General Aptitude is increased by regular practice in this part.
|
Topics
|
Sub Topics
|
|
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 the 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 2025 Syllabus for Computer Science and Information Technology (CS)
GATE Computer Science is basically divided into two parts. First part is General Aptitude and other one is Mathematics and Core Discipline. Syllabus of General Aptitude is mentioned above and rest are mentioned below. Weightage of Engineering Mathematics and Core DIscipline is of 85 marks. Below mentioned is the syllabus of GATE Computer Science and Information Technology.
|
Topics
|
Sub-Topics
|
|
Engineering Mathematics
|
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
|
|
Discrete Mathematics
|
Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Monoids, Groups. Graphs: connectivity, matching, coloring. Combinatorics: counting, recurrence relations, generating functions
|
|
Digital Logic
|
Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating-point)
|
| 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) |
| Programming and Data Structures |
Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs |
| 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 |
| Theory of Computation |
Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and contex-free languages, pumping lemma. Turing machines and undecidability. |
| Compiler Design |
Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation. Local optimization, Data flow analyses: constant propagation, liveness analysis, common subexpression elimination |
| 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 |
| 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 |
| Computer Networks |
Concept of layering: OSI and TCP/IP Protocol Stacks; Basics of packet, circuit and virtual circuit-switching; 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 |
CS Year Wise Weightage of Topics
Below mentioned is the Year wise weightage of marks of different sections that are asked in GATE Computer Science. We have mentioned the marks of GATE 2021 to GATE 2016. We have also mentioned the expected marks of topics of GATE 2025.
It is recommended to practice the sections accordingly to the weightage of marks that were asked in the Exam. It helps you in gaining good GATE Score and a good GATE Rank.
|
Topics
|
Year Wise Weightage of Topics (Marks)
|
|
GATE 2025
|
GATE 2021
|
GATE 2020
|
GATE 2019
|
GATE 2018
|
GATE 2017
|
GATE 2016
|
GATE 2015 |
| General Aptitude |
15 |
15 |
15 |
15 |
15 |
15
|
15 |
|
Engineering Mathematics
|
13
|
6 |
5 |
6 |
7 |
8
|
10
|
|
Discrete Mathematics
|
11 |
10 |
7 |
12 |
7
|
4
|
| Digital Logic |
6 |
5 |
4 |
9 |
4 |
5
|
5
|
| Computer Organization and Architecture |
8 |
6 |
11 |
3 |
11 |
9
|
7
|
| Programming and Data Structures |
15 |
8 |
12 |
12 |
10 |
14
|
11
|
| Algorithms |
7 |
12 |
6 |
7 |
7 |
6
|
11
|
| Theory of Computation |
6 |
8 |
9 |
7 |
7 |
9
|
9
|
| Compiler Design |
4 |
8 |
4 |
6 |
6 |
4
|
4
|
| Operating System |
9 |
5 |
10 |
10 |
10 |
10
|
10
|
| Databases |
7 |
8 |
8 |
8 |
4 |
6
|
5
|
| Computer Networks |
10 |
8 |
6 |
10 |
7 |
7
|
9
|
GATE 2025 Syllabus for Data Science and Artificial Intelligence (DA)
GATE Data Science and Artificial Intelligence is basically divided into two parts. First part is General Aptitude and other one is Core Discipline. Syllabus of General Aptitude is mentioned above and rest are mentioned below. Weightage of Core DIscipline is of 85 marks. Below mentioned is the syllabus of GATE Data Science and Artificial Intelligence.
|
Topic
|
Sub-Topics
|
| Probability and Statistics |
Counting (permutation and combinations), probability axioms, Sample space, events, independent events, mutually exclusive events, marginal, conditional and joint probability, Bayes Theorem, conditional expectation and variance, mean, median, mode and standard deviation, correlation, and covariance, random variables, discrete random variables and probability mass functions, uniform, Bernoulli, binomial distribution, Continuous random variables and probability distribution function, uniform, exponential, Poisson, normal, standard normal, t-distribution, chi-squared distributions, cumulative distribution function, Conditional PDF, Central limit theorem, confidence interval, z-test, t-test, chi-squared test. |
| Linear Algebra |
Vector space, subspaces, linear dependence and independence of vectors, matrices, projection matrix, orthogonal matrix, idempotent matrix, partition matrix and their properties, quadratic forms, systems of linear equations and solutions; Gaussian elimination, eigenvalues and eigenvectors, determinant, rank, nullity, projections, LU decomposition, singular value decomposition. |
| Calculus and Optimization |
Functions of a single variable, limit, continuity and differentiability, Taylor series, maxima and minima, optimization involving a single variable. |
| Programming, Data Structures and Algorithms |
Programming in Python, basic data structures: stacks, queues, linked lists, trees, hash tables; Search algorithms: linear search and binary search, basic sorting algorithms: selection sort, bubble sort and insertion sort; divide and conquer: mergesort, quicksort; introduction to graph theory; basic graph algorithms: traversals and shortest path. |
| Database Management and Warehousing |
ER-model, relational model: relational algebra, tuple calculus, SQL, integrity constraints, normal form, file organization, indexing, data types, data transformation such as normalization, discretization, sampling, compression; data warehouse modelling: schema for multidimensional data models, concept hierarchies, measures: categorization and computations. |
| Machine Learning |
(i) Supervised Learning: regression and classification problems, simple linear regression, multiple linear regression, ridge regression, logisic regression, k-nearest neighbor, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance trade-off, cross-validation methods such as leave-one-out (LOO) cross-validation, k-folds cross-validation, multi-layer perceptron, feed-forward neural network;
(ii) Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, boƩom-up: single-linkage, multiple-linkage, dimensionality reduction, principal component analysis. |
| AI |
Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics – conditional independence representation, exact inference through variable elimination, and approximate inference through sampling. |
GATE 2025 Syllabus for Electronics and Communications (EC)
GATE Electronics and Communications is basically divided into two parts. First part is General Aptitude and other one is Mathematics and Core Discipline. Syllabus of General Aptitude is mentioned above and rest are mentioned below. Weightage of Engineering Mathematics and Core DIscipline is of 85 marks. Below mentioned is the syllabus of GATE Electronics and Communications.
|
Topics
|
Sub-Topics
|
|
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.
|
|
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 applications.
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.
|
|
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.
|
|
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.
|
|
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, decoders.
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.
|
|
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: 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.
|
|
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.
|
GATE 2025 Syllabus for Mechanical Engineering (ME)
GATE Mechanical Engineering is basically divided into two parts. First part is General Aptitude and other one is Mathematics and Core Discipline. Syllabus of General Aptitude is mentioned above and rest are mentioned below. Weightage of Engineering Mathematics and Core DIscipline is of 85 marks. Below mentioned is the syllabus of GATE Mechanical Engineering.
|
Topics
|
Sub-Topics
|
|
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 distributions.
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.
|
|
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.
|
|
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, Stefan- Boltzmann 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 turbines.
|
|
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 (CMM).
|
|
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.
|
GATE 2025 Syllabus for Electrical Engineering (EE)
GATE Electrical Engineering is basically divided into two parts. First part is General Aptitude and other one is Mathematics and Core Discipline. Syllabus of General Aptitude is mentioned above and rest are mentioned below. Weightage of Engineering Mathematics and Core DIscipline is of 85 marks. Below mentioned is the syllabus of GATE Electrical Engineering
|
Topics
|
Sub-Topics
|
|
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.
|
|
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.
|
|
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.
|
|
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
|
|
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
|
|
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.
|
|
Control Systems
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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 RouthHurwitz 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
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Electrical and Electronic Measurements
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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.
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Analog and Digital Electronics
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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.
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Power Electronics
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Static V-I characteristics and firing/gating circuits for Thyristor, MOSFET, IGBT; DC to DC conversion: Buck, Boost and Buck-Boost Converters; Single and threephase 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.
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GATE 2025 Syllabus for Civil Engineering (CE)
GATE Civil Engineering is basically divided into two parts. First part is General Aptitude and other one is Mathematics and Core Discipline. Syllabus of General Aptitude is mentioned above and rest are mentioned below. Weightage of Engineering Mathematics and Core DIscipline is of 85 marks. Below mentioned is the syllabus of GATE Civil Engineering.
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Topics
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Sub-Topics
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Engineering Mathematics
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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 onedimensional 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.
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Structural Engineering
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Engineering Mechanics: System of forces, free-body diagrams, equilibrium equations; Internal forces in structures; Frictions and its applications; Centre of mass; Free Vibrations of undamped 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 centre; 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, shortterm 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
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Geotechnical Engineering
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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; Onedimensional 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.
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Water Resources Engineering
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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, recipitation, 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, evapo-transpiration; Gravity Dams and Spillways; Lined and unlined canals, Design of weirs on permeable foundation; cross drainage structures.
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Environmental Engineering
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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).
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Transportation Engineering
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Transportation Infrastructure: Geometric design of highways – cross-sectional elements, sight distances, horizontal and vertical alignments.
Geometric design of railway Track – peed 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 acroscopic parameters of traffic flow, fundamental relationships; Traffic signs; Signal design by Webster’s method; Types of intersections; Highway capacity.
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Geomatics Engineering
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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
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Frequently Asked Questions on GATE 2025 Syllabus – FAQs
How to prepare for GATE 2025?
Every competitive exam requires strong commitment towards it. This exam requires same. You can take help from the Complete GATE 2025 Roadmap for for getting success in GATE Exam.
Which IIT is going to conduct GATE 2025?
GATE 2025 will be conducted by IIT Roorkee. For all the details regarding to that, you can refer to Which IIT will Conduct GATE 2025.
Is Crackng GATE Easy?
The answer of this question depends on the hard work of the candidate. If a candidate has worked hard, then for him/her, Exam is easy, otherwise, every exam is hard. From the general perspective, GATE Exam is little tough to crack.
What are the best coaching for GATE?
There are several coaching in India for GATE Preparation. Here is the list of institutes that help in preparing for GATE.
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