GATE Syllabus 2024, Subject & Branch Wise – Check Here for all courses

GATECheck GATE 2024 syllabus here. GATE is a national-level examination by different IITs on a rotational basis. The full form of GATE is Graduate Aptitude Test in Engineering (GATE). The aim of this exam is to shortlist candidates for PG courses in the field of engineering & Technology i.e. M.E/ M. Tech. To score good marks in the exam, candidates should have good knowledge of the GATE syllabus. Go through this post to know all the necessary information related to the GATE Syllabus.

New Addition to the GATE Syllabus

The exam conducting authorities of GATE have added two new subjects papers i.e. Environmental Science & Engineering (ES) and Humanities & Social Sciences (XH). The previous year, Bio-medical Engineering subject was added. So, GATE now has 27 papers.

GATE Syllabus 2024

The subject-wise syllabus for the GATE Examination is explained below.

  • Verbal Ability: English grammar, sentence completion, verbal analogies, word groups, instructions, critical reasoning and verbal deduction.
  • Numerical Ability: Numerical computation, numerical estimation, numerical reasoning and data interpretation.

Aerospace Engineering (AE) Syllabus

The topics in the Aerospace Engineering are divided into two categories – core topics and special topics. 90% of the questions will be put up from the core topics and 10% of the topics will be from special topics.

Section 1: (Engineering Mathematics):

  • Core Topics: Linear Algebra, Calculus and Differential Equations.
  • Special Topics: Fourier series, Laplace Transforms, Numerical methods for linear and nonlinear algebraic equations, Numerical integration and differentiation. Complex Analysis, Probability & Analysis.

Section 2: (Flight Mechanics):

  • Core Topics: Basics, Airplane performance & Static stability.
  • Special Topics: Dynamic stability: Euler angles, Equations of motion, decoupling of longitudinal and lateral-directional dynamics, longitudinal modes, lateral-directional modes.

Section 3: (Space Dynamics):

  • Core Topics: Central force motion, determination of trajectory and orbital period in simple cases. Kepler’s Laws- escape velocity.
  • Special Topics: No special topics

Section 4: (Aerodynamics):

  • Core Topics: Basic Fluid Mechanics, Airfoils and wings & Compressible Flows.
  • Special Topics: Wind Tunnel Testing: Measurement and visualization techniques, shock- boundary layer interaction.

Section 5: Structure

  • Core Topics: Strength of Materials, Flight vehicle structures & Structural Dynamics.
  • Special Topics: Vibration of beams, Theory of elasticity: Equilibrium and compatibility equations, Airy’s stress function.

Section 6: Propulsion

  • Core Topics: Basics, Aerothermodynamics of aircraft engines, Rockets, Turbomahinery
  • Special Topics: Aerothermodynamics of non-rotating propulsion components such as intake, combustor & nozzle, Turbine blade cooling, compression turbine matching, Surge & stall.

Statistics (ST) Syllabus

  • Matrix Theory: Subspaces of Rn and Cn , span, linear independence, basis and dimension, row space and column space of a matrix, rank and nullity, row reduced echelon form, trace and determinant, inverse of a matrix, systems of linear equations; Inner products in Rn and Cn Gram-Schmidt orthonormalization; Eigenvalues and eigenvectors, characteristic polynomial, Cayley-Hamilton theorem, symmetric, skew-symmetric, Hermitian, skew-Hermitian, orthogonal, unitary matrices and their eigenvalues, change of basis matrix, equivalence and similarity, diagonalizability, positive definite and positive semi-definite matrices and their properties, quadratic forms, singular value decomposition.
  • Calculus: Finite, countable and uncountable sets; Real number system as a complete ordered field, Archimedean property; Sequences of real numbers, convergence of sequences, bounded sequences, monotonic sequences, Cauchy criterion for convergence; Series of real numbers, convergence, tests of convergence, alternating series, absolute and conditional convergence; Power series and radius of convergence; Functions of a real variable: Limit, continuity, monotone functions, uniform continuity, differentiability, Rolle’s theorem, mean value theorems, Taylor’s theorem, L’ Hospital rules, maxima and minima, Riemann integration and its properties, improper integrals; Functions of several real variables: Limit, continuity, partial derivatives, directional derivatives, gradient, Taylor’s theorem, total derivative, maxima and minima, saddle point, method of Lagrange multipliers, double and triple integrals and their applications.
  • Probability: Axiomatic definition of probability, properties of probability function, conditional probability, Bayes’ theorem, independence of events; Random variables and their distributions, distribution function, probability mass function, probability density function and their properties, expectation, moments and moment generating function, quantiles, distribution of functions of a random variable, Chebyshev, Markov and Jensen inequalities. Standard discrete and continuous univariate distributions: Bernoulli, binomial, geometric, negative binomial, hypergeometric, discrete uniform, Poisson, continuous uniform, exponential, gamma, beta, Weibull, normal.

Jointly distributed random variables and their distribution functions, probability mass function, probability density function and their properties, marginal and conditional distributions, conditional expectation and moments, product moments, simple correlation coefficient, joint moment generating function, independence of random variables, functions of random vector and their distributions, distributions of order statistics, joint and marginal distributions of order statistics; multinomial distribution, bivariate normal distribution, sampling distributions: central, chi-square, central t, and central F distributions.

Convergence in distribution, convergence in probability, convergence almost surely, convergence in r-th mean and their inter-relations, Slutsky’s lemma, Borel-Cantelli lemma; weak and strong laws of large numbers; central limit theorem for i.i.d. random variables, delta method.

  • Stochastic Processes: Markov chains with finite and countable state space, classification of states, limiting behaviour of n-step transition probabilities, stationary distribution, Poisson process, birth-and-death process, pure-birth process, pure-death process, Brownian motion and its basic properties.
  • Estimation: Sufficiency, minimal sufficiency, factorization theorem, completeness, completeness of exponential families, ancillary statistic, Basu’s theorem and its applications, unbiased estimation, uniformly minimum variance unbiased estimation, Rao-Blackwell theorem, Lehmann-Scheffe theorem, Cramer-Rao inequality, consistent estimators, method of moments estimators, method of maximum likelihood estimators and their properties; Interval estimation: pivotal quantities and confidence intervals based on them, coverage probability.
  • Non-parametric Statistics: Empirical distribution function and its properties, goodness of fit tests, chi-square test, Kolmogorov-Smirnov test, sign test, Wilcoxon signed rank test, Mann-Whitney U-test, rank correlation coefficients of Spearman and Kendall.
  • Testing of Hypotheses: Neyman-Pearson lemma, most powerful tests, monotone likelihood ratio (MLR) property, uniformly most powerful tests, uniformly most powerful tests for families having MLR property, uniformly most powerful unbiased tests, uniformly most powerful unbiased tests for exponential families, likelihood ratio tests, large sample tests.
  • Regression Analysis: Simple and multiple linear regression, R2 and adjusted R2 and their applications, distributions of quadratic forms of random vectors: Fisher-Cochran theorem, Gauss-Markov theorem, tests for regression coefficients, confidence intervals.
  • Multivariate Analysis: Multivariate normal distribution: properties, conditional and marginal distributions, maximum likelihood estimation of mean vector and dispersion matrix, Hotelling’s T2 test, Wishart distribution and its basic properties, multiple and partial correlation coefficients and their basic properties.

Syllabus of Agricultural Engineering (AG)

Section 1: (Engineering Mathematics):

  • Linear Algebra, Calculus, Vector Calculus, Differential Equations, Probability and Statistics & Numerical Methods.

Section 2: (Farm Machinery):

  • Machine Design and Farm Machinery.

Section 3: (Farm Power):

  • Sources  of  Power, Farm Power, Tractors and Powertillers.

Section 4: (Soil and Water Conservation Engineering):

  • Fluid Mechanics, Soil Mechanics, Hydrology, Surveying and Leveling, Soil and Water Erosion & Watershed Management.

Section 5: (Irrigation and Drainage Engineering):

  • Soil-Water-Plant Relationship, Irrigation Water Conveyance and Application Methods, Agricultural Drainage, Groundwater Hydrology & Wells and Pumps.

Section 6: (Agricultural Processing Engineering):

  • Drying & Evaporation, Size Reduction and Material Handling, Processing of Agriculture Produce & Storage Systems.

Section 7: (Dairy and Food Engineering):

  • Heat and Mass Transfer & Preservation of Food.

GATE Architecture and Planning (AR) Syllabus 

  • Common (Part A) – Architecture, Planning and Design, Construction and Management, Environmental Planning and Design, Urban Design, landscape & conversion, Planning Process, Housing, Services and Infrastructure.
  • Architecture (Part B1) – History & Contemporary Architecture, Building Constructions & structural sysytems, Building service & Sustainability.
  • Planning (Part B2) – Regional & settlement Planning, Infrastructure Planning, Planning Techniques & Management.

Bio medical Engineering (BM) Syllabus

  • Engineering Mathematics, Signals and Systems, Electrical Circuits, Measurements and Control Systems, Analog and Digital Electronics, Sensors and Bioinstrumentation, Measurements and Control Systems, Biomechanics, Human Anatomy and Physiology, Biomaterials, Medical Imaging Systems.

Biotechnology (BT) Syllabus

  • Engineering Mathematics, General Biotechnology (Biochemistry, Microbiology, Immulogy ), Recombinant DNA Technology & other tools in Biotechnology, Plant and Animal Biotechnology, Bioprocess Engineering and Process Biotechnology, Fundamentals of Biological Engineering, Genetics, Cellular, Molecular Biology.

GATE Chemical Engineering (CH)

  • Engineering Mathematics, (Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics, Numerical Methods), Process Calculations and Thermodynamics, Fluid Mechanics and Mechanical Operations, Heat Transfer, Mass Transfer, Chemical Reaction Engineering, Instrumentation and Process Control, Plant Design and Economics & Chemical Technology.

Chemistry (CY) Syllabus

Section 1: Physical Chemistry

  • Structure, Equilibrium, Kinetics & Surfaces and Interfaces.

Section 2: Inorganic Chemistry

  • Main Group Elements, Transition Elements, Lanthanides and Actinides, Organometallics, Radioactivity, Bioinorganic Chemistry, Solids & Instrumental Methods of Analysis.

Section 3: Organic Chemistry

  • Stereochemistry, Reaction Mechanisms, Organic Synthesis, Pericyclic Reactions and Photochemistry, Heterocyclic Compounds, Biomolecules & Spectroscopy.

Civil Engineering (CE) Syllabus

Section 1: (Engineering Mathematics):

  • Linear Algebra, Calculus, Ordinary Differential Equation (ODE), Partial Differential Equation (PDE), Probability and Statistics & Numerical Methods.

Section 2: (Structural Engineering):

  • Engineering Mechanics, Solid Mechanics, Structural Analysis, Construction Materials and Management, Concrete Structures & Steel Structures.

Section 3: (Geotechnical Engineering):

  • Soil Mechanics & Foundation Engineering.

Section 4: (Water Resources Engineering):

  • Fluid Mechanics, Hydraulics, Hydrology & Irrigation.

Section 5: (Environmental Engineering):

  • Water and Waste Water Quality & Treatment, Air Pollution, Municipal Solid Wastes & Noise Pollution.

Section 6: (Transportation Engineering):

  • Transportation Infrastructure, Highway Pavements & Traffic Engineering.

Section 7: Geomatic Engineering

  • Principles of surveying, photogrammetry & remote sensing.

Computer Science and Information Technology (CS) Syllabus

  • Engineering Mathematics (Discrete Mathematics, Linear Algebra, Calculus, Probability & Statistics), Digital Logic, Computer Organization and Architecture, Programming and Data Structures, Algorithms, Theory of Computation, Compiler Design, Operating System, Databases & Computer Networks.

Ecology and Evolution (EY) Syllabus

  • Ecology, Evolution, Mathematics and Quantitative Ecology & Behavioural Ecology, Apply ecology & evolution.

Electrical Engineering (EE) Syllabus

GATE Electrical Engineering Syllabus includes many core topics as given below.

  • Engineering Mathematics (Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics, Numerical Methods, Transform Theory), Electric Circuits, Electromagnetic Fields, Signals and Systems, Electrical Machines, Power Systems, Control Systems, Electrical and Electronic Measurements, Analog and Digital Electronics & Power Electronics.

Electronics and Communications (EC) Syllabus

GATE Electronics and Communications (EC) Syllabus is as follows.

  • Engineering Mathematics, Networks, Signals and Systems, Electronic Devices, Analog Circuits, Digital Circuits, Control Systems, Communications & Electromagnetics.

Geology and Geophysics (GG) Syllabus 

Common Section

  • Earth and Planetary system, Weathering and soil formation, Introduction to remote sensing, Principles and applications of gravity.

Geology

  • Geomorphic processes and agents, Mechanism of rock deformation, Crystallography, Cosmic abundance of elements, Igneous rocks, Physico-chemical conditions of metamorphism, Morphology, Principles of Stratigraphy, Engineering properties of rocks and soils.

Geophysics

  • The earth as a planet, different motions of the earth, Scalar and vector potential fields, Absolute and relative gravity measurements, Elements of Earth’s magnetic field, Conduction of electricity through rocks, Basic concept of EM induction in the earth, Geophysical signal processing.

Instrumentation Engineering (IN) Syllabus

  • Engineering Mathematics (Linear Algebra, Calculus, Differential equations, Analysis of complex variables, Probability and Statistics, Numerical Methods), Electrical Circuits, Signals and Systems, Control Systems, Analog Electronics, Digital Electronics, Measurements, Sensors and Industrial Instrumentation, Communication and Optical Instrumentation.

Mathematics (MA) Syllabus

  • Linear Algebra, Complex Analysis, Real Analysis, Calculus, Ordinary Differential Equations, Algebra, Functional Analysis, Numerical Analysis, Partial Differential Equations, Topology, Probability and Statistics & Linear programming.

Mechanical Engineering (ME) Syllabus

The GATE Syllabus for Mechanical Engineering is as follows.

Section 1 (Engineering Mathematics):

  • Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics & Numerical Methods.

Section 2 (Applied Mechanics and Design):

  • Engineering Mechanics, Mechanics of Materials, Theory of Machines, Vibrations & Machine Design.

Section 3 (Fluid Mechanics and Thermal Sciences):

  • Fluid Mechanics, Heat-Transfer, Thermodynamics & Applications.

Section 4 (Materials, Manufacturing and Industrial Engineering):

  • Engineering Materials, Casting, Forming and Joining Processes, Machining and Machine Tool Operations, Metrology and Inspection, Computer Integrated Manufacturing, Production Planning and Control, Inventory Control & Operations Research.

Metallurgical Engineering (MT) Syllabus

  • Engineering Mathematics (Linear Algebra, Calculus, Vector Calculus, Differential equations, Probability and Statistics, Numerical Methods), Thermodynamics and Rate Processes, Extractive Metallurgy, Physical Metallurgy, Mechanical Metallurgy & Manufacturing Processes.

Mining Engineering (MN) Syllabus

Section 1: (Engineering Mathematics):

  • Linear Algebra, Calculus, Vector Calculus, Differential equations, Probability and Statistics & Numerical Methods.

Section 2: (Mine Development and Surveying):

  • Mine Development & Mine Surveying.

Section 3: (Geomechanics and Ground Control):

  • Engineering Mechanics, Geomechanics & Ground Control.

Section 4: (Mining Methods and Machinery):

  • Mining Methods and Mining Machinery.

Section 5: (Surface Environment, Mine Ventilation, and Underground Hazards):

  • Surface Environment, Mine Ventilation and Subsurface Hazards.

Section 6: (Mine Economics, Mine Planning, Systems Engineering):

  • Mine Economics, Mine Planning and Systems Engineering.

Petroleum Engineering (PE) Syllabus

  • Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics, Numerical Methods, Petroleum Exploration, Oil and Gas Well Drilling Technology, Reservoir Engineering, Petroleum Production Operations, Offshore Drilling and Production Practices, Petroleum Formation Evaluation, Oil and Gas Well Testing, Health Safety and Environment in Petroleum Industry, Enhanced Oil Recovery Techniques, Latest trends in Petroleum Engineering.

Physics (PH) Syllabus

  • Mathematical Physics, Classical Mechanics, Electromagnetic Theory, Quantum Mechanics, Thermodynamics and Statistical Physics, Atomic and Molecular Physics, Solid State Physics & Electronics, Nuclear and Particle Physics

Production & Industrial Engineering (PI) Syllabus

Section 1: (Engineering Mathematics):

  • Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics & Numerical Methods.

Section 2: (General Engineering):

  • Engineering Materials, Applied Mechanics, Theory of Machines and Design, Thermal and Fluids Engineering.

Section 3: (Manufacturing Processes I):

  • Casting, Metal Forming, Joining of materials, Powder processing, Polymers and Composites.

Section 4: (Manufacturing Processes II):

  • Machine Tools and Machining, Non-traditional Manufacturing & Computer Integrated Manufacturing.

Section 5: (Quality and Reliability):

  • Metrology and Inspection, Quality management, Reliability and Maintenance.

Section 6: (Industrial Engineering):

  • Product Design and Development, Work System Design & Facility Design.

Section 7: (Operations research and Operations Management):

  • Operation Research, Engineering Economy and Costing, Production control & Project management.

Textile Engineering and Fibre Science (TF) Syllabus

  • Engineering Mathematics (Linear Algebra, Calculus, Vector Calculus, Differential Equations, Probability and Statistics, Numerical Methods), Textile Fibers, Yarn manufacture, Yarn structure and Properties, Fabric manufacture, Structure and Properties, Textile Testing & Chemical processing.

Engineering Science (XE) Syllabus

Engineering Mathematics (XE-A) Compulsory for all XE candidates

  • Linear Algebra, Calculus, Vector Calculus, Complex variables, Ordinary Differential Equations, Partial Differential Equations, Probability and Statistics & Numerical Methods.

Fluid Mechanics (XE-B):

  • Flow and Fluid Properties, Kinematics, Integral analysis, Differential Analysis, Inviscid flows, Dimensional analysis, Internal flows, Prandtl boundary layer equations.

Materials Science (XE-C):

  • Processing of Materials, Characterization Techniques, Structure and Imperfections, Thermodynamics and Kinetics, Properties of Materials (Mechanical Properties, Electronic Properties, Magnetic Properties, Thermal Properties, Optical Properties), Material types, Environmental Degradation, Elements of Quantum Mechanics and Mathematics.

Solid Mechanics (XE-D):

  • Equivalent force systems, Stresses and strains, Axial, shear and bending moment diagrams, Free vibration of single degree of freedom systems.

Thermodynamics (XE-E):

  • Basic Concepts, First Law of Thermodynamics, Second Law of Thermodynamics, Properties of Pure Substances, Thermodynamic Relations, Thermodynamic Cycles, Ideal Gas Mixtures.

Polymer Science and Engineering (XE-F):

  • Chemistry of high polymers, Polymer Characterization, Synthesis and properties, Polymer blends and composites, Polymer Technology, Polymer rheology, Polymer processing, Polymer testing.

Food Technology (XE-G):

  • Food Chemistry and Nutrition, Food Microbiology, Food Products Technology & Food Engineering.

Atmospheric & Ocean Science (XE-H):

  • Atmospheric Science and Ocean Sciences.

Environmental Science & Engineering (ES) Syllabus

  • Mathematics Foundation, Environmental Chemistry, Environmental Microbiology, Water Resources and Environmental Hydraulics, Water & Wastewater Treatment and Management, Air and Noise Pollution, Solid and Hazardous Waste Management, Global and Regional Environmental Issues Environmental Management and Sustainable Development.

Syllabus of Humanities & Social science (XH)

Reasoning & Comprehension (XH B1):

  • Reading comprehension, expression, analytical reasoning, logical reasoning.

Economics (XH C1)

  • Microeconomics, Macroeconomics, Statistics, Econometrics and Mathematical Economics, International Economics, Public Economics, Development Economics, Indian Economy,.

English (XH C2)

  • Multi-genre literatures in English—poetry, the novel and other forms of fiction including the short story, drama, creative non-fiction, and non-fiction prose—with emphasis on the long 19th and 20th centuries.
  • Literary criticism and theory; critical and cultural intellectual-traditions and approacheswidely referred to and used in the discipline of English.
  • Especially in a comparative context, anglophone and in English translation, literatures from India and, extending to some degree, the larger Indian subcontinent.
  • Research approaches and methodologies, including interpretive techniques responsive to literary forms, devices, concepts, and genres.
  • History of English literature and English literary studies.

Linguistics (XH C3)

  • Language and Linguistics, Levels of Grammar and Grammatical Analysis, Historical Linguistics, Sociolinguistics, Areal Typology, Universals, Cross-linguistic Features, Methods of analysis, Applied Linguistics.

Philosophy (XH C4)

  • Classical Indian Philosophy, Contemporary Indian Philosophy, Classical and Modern Western Philosophy, Contemporary Western Philosophy.

Psychology(XH C5)

  • Research Methods and Statistics, Psychometrics: Foundations of Psychological measurement; Basic components: scales and items, Biological and evolutionary basis of behaviour, Perception, Learning, Memory and Forgetting, Cognition: Thinking, Intelligence and Language, Personality: Theories of personality, Motivation, Emotion and Stress and Coping, Social psychology, Development across the life span, Applications of Psychology.

Sociology(XH C6)

  • Sociological Theory, Research Methodology and Methods, Sociological Concepts, Agrarian Sociology and Rural Transformation, Family, Marriage and Kinship, Social Movements, Sociology of Development.

Life Science (XL) Syllabus

Chemistry (XL-P):

  • Atomic Structure and Periodicity, Structure and Bonding, s, p and d Block Elements, Chemical Equilibria, Electrochemistry, Reaction Kinetics, Thermodynamics, Structure-Reactivity Correlations and Organic Reaction Mechanisms.

Biochemistry (XL-Q):

  • Organization of life, Enzyme kinetics including its regulation and inhibition, Biochemical separation techniques, Cell structure and organelles, DNA replication & Immune system.

Botany (XL-R):

  • Plant Systematics, Plant Anatomy, Morphogenesis & Development, Physiology and Biochemistry, Genetics, Plant Breeding and Genetic Modification, Economic Botany, Plant Pathology, Ecology and Environment.

Microbiology (XL-S):

  • Historical Perspective, Methods in Microbiology, Microbial Taxonomy and Diversity, Prokaryotic and Eukaryotic Cells: Structure and Function, Microbial Growth, Control of Micro-organisms, Microbial Metabolism, Microbial Diseases and Host Pathogen Interaction, Chemotherapy/Antibiotics, Microbial Genetics & Microbial Ecology.

Zoology (XL-T):

  • Animal world, Evolution, Genetics, Biochemistry and Molecular Biology, Cell Biology, Gene expression in Eukaryotes, Animal Anatomy and Physiology, Parasitology and Immunology, Development Biology, Ecology & Animal Behaviour.

Food Technology (XL-U):

  • Food Chemistry and Nutrition, Food Microbiology, Food Products Technology & Food Engineering.

GATE Exam Pattern

The pattern of GATE examination is given below.

  • Type of questions – Multiple-Choice Questions (MCQs), Multiple Select Questions (MSQ) and Numerical Answer Type (NAT) questions.
    • In MCQs – Candidates have to choose one correct options out of all available options.
    • In MSQs – Aspirants are required to multiple answers because more than one correct answers are possible.
    • Numerical Answer Type (NAT) questions – In these questions, candidates need to enter the answer correctly using the keyboard.
  • Number of question – 65 (10 General questions + 55 subject based questions)
  • Maximum Marks – 100
  • Duration of the exam – 3 hours
  • Number of sections – 2 (Common General Aptitude – GA (for all subjects/ papers) & Core subjects. The questions in core subjects are further classified into compulsory and optional.
Tags

Leave a comment


Vidyamata