The Graduate Aptitude Test in Engineering (GATE) is an examination that primarily tests the comprehensive understanding of various undergraduate subjects in engineering and science. GATE is conducted jointly by the Indian Institute of Science and seven Indian Institutes of Technologies at Roorkee, Delhi, Guwahati, Kanpur, Kharagpur, Chennai (Madras) and Mumbai (Maharashtra) on behalf of the National Coordination Board-GATE, Department of Higher Education, Ministry of Human Resources Development (MHRD), Government of India.

It is advised to all the GATE aspirants to check their eligibility before making the registration. They can apply for only 1 paper in GATE. The minimum academic qualification to apply for GATE 2019 is indicated below for all the applicants: Bachelor’s degree (4 years after 10+2, or 3 years after Diploma) in the related engineering and science stream Master’s Degree in any branch of Mathematics/Science/Statistics/Computer Applications or equivalent degree. International applicants possessing a Bachelor’s Degree or Master’s Degree in the related engineering or science stream. Students in final year of Bachelor’s/Master’s degree. There is no stipulated age limit criterion defined for GATE applicants.

GATE Exam Pattern Course: GATE is conducted for M.Tech./Ph.D. programme in IITs , IISc and various other institutions. Number of Papers: GATE 2018 is held for total 23 papers. Candidates are allowed to appear in only one of the 23 papers. Mode of Examination: The examination mode will be online only (CBT). Exam Duration: The examination duration will be 3 hours. Number of Questions: Total 65 questions of maximum 100 marks will be asked in GATE 2018. Type of Questions: Multiple Choice Questions (MCQ) & Numerical Answer Type Questions (NAT) will appear in GATE examination. For MCQ, 4 choices will be provided while there will be no options provided for NAT. Students are required to enter the real number in Numerical Answer Type Questions with the help of virtual keypad. Section Common in All GATE Papers: General Aptitude (GA) section is common in all papers. It will contain total 150 questions of maximum 15 marks (5 questions…

Graduate Aptitude Test in Engineering ( GATE ) Entrance Examination General Aptitude ( GA ) Syllabus 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.

Section 1: Engineering Mathematics Linear Algebra: Vector algebra, Matrix algebra, systems of linear equations, rank of a matrix, eigenvalues and eigen vectors. Calculus: Functions of single variable, limit, continuity and differentiability, mean value theorems, evaluation of definite and improper integrals, partial derivatives, total derivative, maxima and minima, gradient, divergence and curl, vector identities, directional derivatives, line, surface and volume integrals. Theorems of Stokes, Gauss and Green. Differential Equations: First order linear and nonlinear differential equations, higher order linear ODEs with constant coefficients. Partial differential equations and separation of variables methods. Special Topics: Fourier Series, Laplace Transforms, Numerical methods for linear and nonlinear algebraic equations, Numerical integration and differentiation. Section 2: Flight Mechanics Atmosphere: Properties, standard atmosphere. Classification of aircraft. Airplane (fixed wing aircraft) configuration and various parts. Airplane performance: Pressure altitude; equivalent, calibrated, indicated air speeds; Primary flight instruments: Altimeter, ASI, VSI, Turn-bank indicator. Drag polar; take off and landing;…

Section 1: Engineering Mathematics Linear Algebra: Matrices and Determinants, Systems of linear equations, Eigen values and eigen vectors. Calculus: Limit, continuity and differentiability; Partial Derivatives; Maxima and minima; Sequences and series; Test for convergence; Fourier series. Vector Calculus: Gradient; Divergence and Curl; Line; surface and volume integrals; Stokes, Gauss and Green's theorems. Differential Equations: Linear and non-linear first order ODEs; Higher order linear ODEs with constant coefficients; Cauchy's and Euler's equations; Laplace transforms; PDEs - Laplace, heat and wave equations. Probability and Statistics: Mean, median, mode and standard deviation; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis. Numerical Methods: Solutions of linear and non-linear algebraic equations; integration of trapezoidal and Simpson's rule; single and multi-step methods for differential equations. Section 2: Farm Machinery Machine Design: Design and selection of machine elements – gears, pulleys, chains and sprockets and belts; overload safety devices used in farm machinery; measurement…

Section 1: Architecture and Design Visual composition in 2D and 3D; Principles of Art and Architecture; Organization of space; Architectural Graphics; Computer Graphics– concepts of CAD, BIM, 3D modeling and Architectural rendition; Programming languages and automation. Anthropometrics; Planning and design considerations for different building types; Site planning; Circulation- horizontal and vertical; Barrier free design; Space Standards; Building Codes; National Building Code. Elements, construction, architectural styles and examples of different periods of Indian and Western History of Architecture; Oriental, Vernacular and Traditional architecture; Architectural developments since Industrial Revolution; Influence of modern art on architecture; Art nouveau, Eclecticism, International styles, Post Modernism, Deconstruction in architecture; Recent trends in Contemporary Architecture; Works of renowned national and international architects. Section 2: Building Materials, Construction and Management Behavioral characteristics and applications of different building materials viz. mud, timber, bamboo, brick, concrete, steel, glass, FRP, AAC, different polymers, composites. Building construction techniques, methods and details; Building…

Section 1: Engineering Mathematics Linear Algebra: Matrices and determinants, Systems of linear equations, Eigen values and Eigen vectors. Calculus: Limit, continuity and differentiability, Partial derivatives, Maxima and minima, Sequences and series, Test for convergence, Fourier Series. Differential Equations: Linear and nonlinear first order ODEs, higher order ODEs with constant coefficients, Cauchy’s and Euler’s equations, Laplace transforms, PDE- Laplace, heat and wave equations. Probability and Statistics: Mean, median, mode and standard deviation, Random variables, Poisson, normal and binomial distributions, Correlation and regression analysis. Numerical Methods: Solution of linear and nonlinear algebraic equations, Integration of trapezoidal and Simpson’s rule, Single and multistep methods for differential equations. Section 2: General Biotechnology Biochemistry: Biomolecules - structure and functions; Biological membranes, structure, action potential and transport processes; Enzymes- classification, kinetics and mechanism of action; Basic concepts and designs of metabolism (carbohydrates, lipids, amino acids and nucleic acids) photosynthesis, respiration and electron transport chain; Bioenergetics Microbiology: Viruses -…

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, Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima, Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green's theorems. Ordinary Differential Equation (ODE): First order (linear and non-linear) equations; higher order linear equations with constant coefficients; Euler-Cauchy equations; Laplace transform and its application in solving linear ODEs; 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: Definitions of probability and sampling theorems; Conditional probability; Discrete Random variables: Poisson and Binomial distributions; Continuous random variables: normal and exponential distributions; Descriptive statistics - Mean, median, mode and standard deviation; Hypothesis testing. Numerical…

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, Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima, Gradient, Divergence and Curl, Vector dentities, Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green's theorems. Differential Equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Cauchy's and Euler's equations, Initial and boundary value problems, Laplace transforms, Solutions of one dimensional heat and wave equations and Laplace equation. Complex Variables: Analytic functions, Cauchy's integral theorem, Taylor and Laurent series, Residue theorem. Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions. Linear regression analysis. Numerical Methods: Numerical solutions of linear and non-linear algebraic equations Integration by trapezoidal and Simpson's rule. Single and multi-step methods…

Section 1: Engineering Mathematics Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Groups. Graphs: connectivity, matching, coloring. 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: 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. 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,…

Section 1: Physical Chemistry Structure: Postulates of quantum mechanics. Time dependent and time independent Schrödinger equations. Born interpretation. Particle in a box. Harmonic oscillator. Rigid rotor. Hydrogen atom: atomic orbitals. Multi-electron atoms: orbital approximation. Variation and first order perturbation techniques. Chemical bonding: Valence bond theory and LCAO-MO theory. Hybrid orbitals. Applications of LCAO-MOT to H2+, H2 and other homonuclear diatomic molecules, heteronuclear diatomic molecules like HF, CO, NO, and to simple delocalized π– electron systems. Hückel approximation and its application to annular π– electron systems. Symmetry elements and operations. Point groups and character tables. Origin of selection rules for rotational, vibrational, electronic and Raman spectroscopy of diatomic and polyatomic molecules. Einstein coefficients. Relationship of transition moment integral with molar extinction coefficient and oscillator strength. Basic principles of nuclear magnetic resonance: nuclear g factor, chemical shift, nuclear coupling. Equilibrium: Laws of thermodynamics. Standard states. Thermochemistry. Thermodynamic functions and their relationships: Gibbs-Helmholtz and…

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 Stoke's theorems. Complex Analysis: Analytic functions, Cauchy's integral theorem, Cauchy's integral formula; Taylor's and Laurent's series, residue theorem. Numerical Methods: Solution of nonlinear equations, single and multi-step methods for differential equations, convergence criteria. Probability and Statistics: Mean, median, mode and standard deviation; combinatorial probability,…

Section 1: Engineering Mathematics Linear Algebra: Matrix Algebra, Systems of linear equations, Eigenvalues, Eigenvectors. 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, 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. Numerical Methods: Solutions of nonlinear algebraic equations, Single and Multi?step methods for differential equations. Transform Theory: Fourier Transform, Laplace Transform,…

Section 1: Ecology Population ecology; metapopulation dynamics; growth rates; density independent growth; density dependent growth; niche concept; Species interactions: Plant-animal interactions; mutualism, commensalism, competition and predation; trophic interactions; functional ecology; ecophysiology; behavioural ecology; Community ecology: Community assembly, organization and evolution; biodiversity: species richness, evenness and diversity indices; endemism; species-area relationships; Ecosystem structure, function and services; nutrient cycles; biomes; habitat ecology; primary and secondary productivity; invasive species; global and climate change; applied ecology. Section 2: Evolution Origin, evolution and diversification of life; natural selection; levels of selection. Types of selection (stabilizing, directional etc.); sexual selection; genetic drift; gene flow; adaptation; convergence; species concepts; Life history strategies; adaptive radiation; biogeography and evolutionary ecology; Origin of genetic variation; Mendelian genetics; polygenic traits, linkage and recombination; epistasis, gene-environment interaction; heritability; population genetics; Molecular evolution; molecular clocks; systems of classification: cladistics and phenetics; molecular systematics; gene expression and evolution. Section 3: Mathematics and Quantitative Ecology…

Common Section Earth and Planetary system, size, shape, internal structure and composition of the earth; atmosphere and greenhouse effect; isostasy; elements of seismology; physical properties of the interior of the earth; continents and continental processes; physical oceanography; geomagnetism and paleomagnetism, continental drift, plate tectonics. Weathering; soil formation; action of river, wind, glacier and ocean; earthquakes, volcanism and orogeny. Basic structural geology, mineralogy and petrology. Geological time scale and geochronology; stratigraphic principles; major stratigraphic divisions of India. Engineering properties of rocks and soils. Ground water geology. Geological and geographical distribution of ore, coal and petroleum resources of India. Introduction to remote sensing. Engineering properties of rocks and soils. Ground water geology. Principles and applications of gravity, magnetic, electrical, electromagnetic, seismic and radiometric methods of prospecting for oil, mineral and ground water; introductory well logging. Part A: Geology Geomorphic processes and agents; development and evolution of landforms; slope and drainage; processes in deep…

Section 1: Engineering Mathematics Linear Algebra: Matrix algebra, systems of linear equations, Eigen values and Eigen vectors. 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), higher 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 and standard deviation, 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 analysis. Section 2: Electrical Circuits: Voltage and…

Section 1: Linear Algebra Finite dimensional vector spaces; Linear transformations and their matrix representations, rank; systems of linear equations, eigenvalues and eigenvectors, minimal polynomial, Cayley-Hamilton Theorem, diagonalization, Jordan-canonical form, Hermitian, SkewHermitian and unitary matrices; Finite dimensional inner product spaces, Gram-Schmidt orthonormalization process, self-adjoint operators, definite forms. Section 2: Complex Analysis Analytic functions, conformal mappings, bilinear transformations; complex integration: Cauchy’s integral theorem and formula; Liouville’s theorem, maximum modulus principle; Zeros and singularities; Taylor and Laurent’s series; residue theorem and applications for evaluating real integrals. Section 3: Real Analysis Sequences and series of functions, uniform convergence, power series, Fourier series, functions of several variables, maxima, minima; Riemann integration, multiple integrals, line, surface and volume integrals, theorems of Green, Stokes and Gauss; metric spaces, compactness, completeness, Weierstrass approximation theorem; Lebesgue measure, measurable functions; Lebesgue integral, Fatou’s lemma, dominated convergence theorem. Section 4: Ordinary Differential Equations First order ordinary differential equations, existence and uniqueness…

Section 1: Engineering Mathematics Linear Algebra: Matrix algebra, systems of linear equations, eigenvalues and eigenvectors. 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;…

Section 1: Engineering Mathematics Linear Algebra: Matrices and Determinants; Systems of linear equations; Eigen values and Eigen vectors. Calculus: Limit, continuity and differentiability; Partial Derivatives; Maxima and minima; Sequences and series; Test for convergence; Fourier series. Vector Calculus: Gradient; Divergence and Curl; Line; surface and volume integrals; Stokes, Gauss and Green’s theorems. Differential Equations: Linear and non-linear first order ODEs; Higher order linear ODEs with constant coefficients; Cauchy’s and Euler’s equations. Probability and Statistics: Measures of central tendency; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis. Numerical Methods: Solutions of linear algebraic equations; Integration of trapezoidal and Simpson’s rule; Single and multi-step methods for differential equations. Section 2: Mine Development and Surveying Mine Development: Methods of access to deposits; Underground drivages; Drilling methods and machines; Explosives, blasting devices and practices. Mine Surveying: Levels and leveling, theodolite, tacheometry, triangulation; Contouring; Errors and adjustments; Correlation; Underground surveying; Curves; Photogrammetry; Field astronomy; EDM and Total Station; Introductory GPS.…

Section 1: Engineering Mathematics Linear Algebra: Matrices and Determinants, Systems of linear equations, Eigen values and Eigen vectors. Calculus: Limit, continuity and differentiability; Partial derivatives; Maxima and minima; Sequences and series; Test for convergence; Fourier series. Vector Calculus: Gradient; Divergence and Curl; Line, Surface and volume integrals; Stokes, Gauss and Green’s theorems. Differential Equations: Linear and non-linear first order ODEs; Higher order linear ODEs with constant coefficients; Cauchy’s and Euler’s equations; Laplace transforms; PDEs – Laplace, one dimensional heat and wave equations. Probability and Statistics: Definitions of probability and sampling theorems, conditional probability, Mean, median, mode and standard deviation; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis. Numerical Methods: Solutions of linear and non-linear (Bisection, Secant, Newton Raphson methods) algebraic equations; integration by trapezoidal and Simpson’s rule; single and multi-step methods for differential equations. Section 2: Thermodynamics and Rate Processes Laws of thermodynamics, activity, equilibrium constant, applications to metallurgical systems, solutions, phase equilibria,…

Engineering Mathematics 1. Linear Algebra: Matrix algebra, Systems of linear equations, Eigen values and eigenvectors. 2. Calculus: Functions of single variable, Limit, continuity and differentiability, Taylor series, Mean value theorems, Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima, Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green’s theorems. 3. Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Cauchy’s and Euler’s equations, Initial andboundary value problems, Laplace transforms, Solutions of one dimensional heat and wave equations and Laplace equation. 4. Complex variables: Complex number, polar form of complex number, triangle inequality. 5. Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions, Linear regression analysis. 6. Numerical Methods: Numerical solutions of linear and non-linear algebraic equations.…

Section 1: Mathematical Physics Linear vector space: basis, orthogonality and completeness; matrices; vector calculus; linear differential equations; elements of complex analysis: CauchyRiemann conditions, Cauchy’s theorems, singularities, residue theorem and applications; Laplace transforms, Fourier analysis; elementary ideas about tensors: covariant and contravariant tensor, Levi-Civita and Christoffel symbols. Section 2: Classical Mechanics D’Alembert’s principle, cyclic coordinates, variational principle, Lagrange’s equation of motion, central force and scattering problems, rigid body motion; small oscillations, Hamilton’s formalisms; Poisson bracket; special theory of relativity: Lorentz transformations, relativistic kinematics, mass?energy equivalence. Section 3: Electromagnetic Theory Solutions of electrostatic and magnetostatic problems including boundary value problems; dielectrics and conductors; Maxwell’s equations; scalar and vector potentials; Coulomb and Lorentz gauges; Electromagnetic waves and their reflection, refraction, interference, diffraction and polarization; Poynting vector, Poynting theorem, energy and momentum of electromagnetic waves; radiation from a moving charge. Section 4: Quantum Mechanics Postulates of quantum mechanics; uncertainty principle; Schrodinger equation; one-, two-…

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, Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima, Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green’s theorems. Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Cauchy’s and Euler’s equations, Initial and boundary value problems, Laplace transforms, Solutions of one dimensional heat and wave equations and Laplace equation. Complex variables: Analytic functions, Cauchy’s integral theorem, Taylor series. Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions. Numerical Methods: Numerical solutions of linear and non-linear algebraic equations Integration by trapezoidal and Simpson’s rule, single and multi-step methods for differential equations. Section 2:…

Engineering Mathematics Linear Algebra: Matrices and Determinants, Systems of linear equations, Eigen values and eigen vectors. Calculus: Limit, continuity and differentiability; Partial Derivatives; Maxima and minima; Sequences and series; Test for convergence; Fourier series. Vector Calculus: Gradient; Divergence and Curl; Line; surface and volume integrals; Stokes, Gauss and Green’s theorems. Differential Equations: Linear and non-linear first order ODEs; Higher order linear ODEs with constant coefficients; Cauchy’s and Euler’s equations; Laplace transforms; PDEs –Laplace, heat and wave equations. Probability and Statistics: Mean, median, mode and standard deviation; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis. Numerical Methods: Solutions of linear and non-linear algebraic equations; integration of trapezoidal and Simpson’s rule; single and multi-step methods for differential equations. Textile Engineering and Fibre Science Section 1: Textile Fibers Classification of textile fibers; Essential requirements of fiber forming polymers; Gross and fine structure of natural fibers like cotton, wool, silk, Introduction to important bast fibres; properties and…

A: Engineering Mathematics (Compulsory) Section 1: Linear Algebra Algebra of matrices; Inverse and rank of a matrix; System of linear equations; Symmetric, skew-symmetric and orthogonal matrices; Determinants; Eigenvalues and eigenvectors; Diagonalisation of matrices; Cayley-Hamilton Theorem. Section 2: Calculus Functions of single variable: Limit, continuity and differentiability; Mean value theorems; Indeterminate forms and L'Hospital's rule; Maxima and minima; Taylor's theorem; Fundamental theorem and mean value-theorems of integral calculus; Evaluation of definite and improper integrals; Applications of definite integrals to evaluate areas and volumes. Functions of two variables: Limit, continuity and partial derivatives; Directional derivative; Total derivative; Tangent plane and normal line; Maxima, minima and saddle points; Method of Lagrange multipliers; Double and triple integrals, and their applications. Sequence and series: Convergence of sequence and series; Tests for convergence; Power series; Taylor's series; Fourier Series; Half range sine and cosine series. Section 3: Vector Calculus Gradient, divergence and curl; Line and surface integrals; Green's theorem,…

P: Chemistry (Compulsory) Section 1: Atomic Structure and Periodicity Planck’s quantum theory, wave particle duality, uncertainty principle, quantum mechanical model of hydrogen atom, electronic configuration of atoms and ions. Periodic table and periodic properties: ionization energy, electron affinity, electronegativity and atomic size. Section 2: Structure and Bonding Ionic and covalent bonding, MO and VB approaches for diatomic molecules, VSEPR theory and shape of molecules, hybridization, resonance, dipole moment, structure parameters such as bond length, bond angle and bond energy, hydrogen bonding and van der Waals interactions. Ionic solids, ionic radii and lattice energy (Born?Haber cycle). HSAB principle. Section 3: s, p and d Block Elements Oxides, halides and hydrides of alkali, alkaline earth metals, B, Al, Si, N, P, and S. General characteristics of 3d elements. Coordination complexes: valence bond and crystal field theory, color, geometry, magnetic properties and isomerism. Section 4: Chemical Equilibria Colligative properties of solutions, ionic equilibria…

Events Date Online Application Filling & Submissions 1st Sep 2018 Last Date for Submission 21st Sep 2018 Extended For Submission 1st Oct 2018 Last Date for Change in the Choice of Examination City 16th Nov 2018 Availability of Admit Card 04th Jan 2019 Exam Date 02nd, 3th, 9th & 10th Feb 2019 Result Date 16th Mar2019 Candidates can take GATE according to their Paper Code only. As there is a huge number of aspirants, thus GATE is held in multiple sessions. The table below depicts the tentative GATE 2019 schedule for all the papers: Date Forenoon 09:00-12:00Hrs Afternoon 14:00-17:00Hrs 02nd Feb 2019 ME, EY, PE, XE, XL ME, AE, MA, PI 03rd Feb 2019 CS, MN AG, AR, BT, CH, CY, GG, IN, MT, PH, TF 09th Feb 2019 EC EE 10th Feb 2019 CE CE

GATE 2018 Application Form The brief details of GATE Registration is given below: All the candidates have to apply online only. GATE registration 2018 will be started from the first week of September 2017. The registration will be end till the first week of October 2017. The authority will provide a period of approx one month for the application process. Aspirants have to fill GATE 2018 application form through GATE Online Application Processing System (GOAPS). Candidates have to register as a “New User”. After successful registration, they will get the access to GOAPS. Thereafter, they are required to login using GOAPS Enrollment ID and GOAPS Password. While filling the application form, students need to upload scanned photograph, signature, thumb impression, degree certificate or category certificate. International candidates are also eligible to apply. GATE 2018 will be conducted in Bangladesh, Ethiopia, Nepal, Singapore, Sri Lanka and United Arab Emirates. Application procedure for international candidates is same…

GATE Preparation: GATE 2018 Strategy should be well thought of as this will determine your GATE Score. So, here is a step wise list to tell you How to crack GATE. Determine your stream : This exam has some related categories but it is very important that you determine what exam you are appearing for. The exam has the following categories. Aerospace Engineering: AE Agricultural Engineering: AG Architecture and Planning: AR Biotechnology: BT Civil Engineering: CE Chemical Engineering: CH Computer Science and Information Technology: CS Chemistry: CY Electronics and Communication Engineering: EC Electrical Engineering: EE Ecology and Evolution: EY Geology and Geophysics: GG Instrumentation Engineering: IN Mathematics: MA Mechanical Engineering: ME Mining Engineering: MN Metallurgical Engineering: MT Physics: PH Production and Industrial Engineering: PI Textile Engineering and Fibre Science: TF Engineering Sciences: XE Life Sciences: XL After determining your stream you should go and search for the syllabus of the stream that your…

Documents / Data Required For Indian Candidates: Personal information (name, date of birth, personal mobile number, parents name, parents mobile number, etc.). Please note that the name of the candidate in the application form must be exactly same as that in the qualifying degree certificate (or) the certificate issued by the Head of the Department/Institute in which the candidate is pursuing his/her study. GATE 2019 scorecard will be issued as per the name entered in the application form. Prefix/title such as Mr/Shri/Dr/Mrs/Smt, etc. should NOT be used before the name. Address for Communication (including PIN code). Eligibility degree details (10-300 kb in pdf format). College name and address with PIN code. GATE paper (subject). Choice of GATE examination cities. High quality image of candidate’s photograph conforming to the specified requirements (File size should be between 2KB and 200KB in jpeg/jpg). Good quality image of candidate’s signature conforming to the specified…

GATE Counselling Procedure: The GATE 2018 Result will be declared in the month of March at the official website of www.gate.iitr.ernet.in. So, the candidates those who have qualified in the GATE Exam are eagerly looking for the GATE Counselling Process. Students who taken the GATE Exam 2018 on various exam dates need to check the GATE counselling Dates Here. Depending on your GATE Score, you will provide the Admission into IISC and various IITs along with other NITs & top colleges in India. By this GATE CCMT(Centralized Counselling for M.Tech. / M.Arch./ M.Plan. Admissions) Counselling Process, you will get an Admission into various PG Courses which are offered by the NITs & Other popular colleges in India. Read this article and get the Complete details of GATE counselling Process like Documents required for GATE CCMT Counselling, GATE Counselling Exam Dates, Steps to go for MTech counselling through GATE. Important Steps for Gate Counselling Online…

GATE Admit Card The GATE Admit Card will be available on the official site from 4th January 2019. The candidates have to log in to the GOAPS by using their enrollment ID and email address. This is one of the most important documents to give this examination so make sure you keep it safe till the examination gets finished.

GATE Results: GATE Results Date is 16th March 2019 who have appeared or going to appear for the examination need to wait for few date after writing the examination to check their results, As per the IIT Exam Schedule released by the official on official website www.gate.iitr.ernet.In, the GATE Result. The aspirants can check their most awaited GATE Result from the links provided or directly through the official website. Till then you can check Answer Keys with or without question paper. You can also Check GATE Answer Keys till results are out. After the declaration of result, you can check your Gate 2018 Results Name Wise, School Wise, Roll.No Wise, Subject Wise, Branch Wise, State Wise or District Wise nothing but Zone Wise or Region Wise. How to Check GATE Results: Check out the links provided by us or go to the website www.gate.iisc.ernet.In first On this page, next you can check out the GATE Results After that,…

GATE Score Card Score card reflects the candidate’s performance in entrance test. The qualified candidates are provided with a GATE score card. The Score Card will be having the validity of three years from the date of announcement of result. The facility to download the score card will be available.

GATE Exam Centres You have to choose three cities as your first, second and third choices. There is no restriction on the second and third chosen city to be in the same GATE zone as the first chosen city. Zone GATE Zonal Centre GATE Exam Cities 1 IISc Bangalore Ananthapur, Bagalkot, Bengaluru, Bellary, Belgaum, Bidar, Davengere, Gulbarga, Hassan, Hubli, Hyderabad, Kannur, Kasargod, Kolar, Kozhikode, Kurnool, Malappuram, Mangalore, Manipal, Mysore, Palakkad, Payyannur, Port Blair, Shimoga,Thrissur, Tumkur and Vadakara 2 IIT Bombay Ahmedabad, Ahmednagar, Amravati, Anand, Aurangabad,Bhavnagar, Bhuj, Gandhinagar, Goa, Jalgaon, Kolhapur, Mehsana, Mumbai, Nagpur, Nanded, Nashik, Navi Mumbai, Pune, Rajkot, Ratnagiri, Sangli, Satara, Solapur, Surat, Thane and Vadodara 3 IIT Delhi Ajmer, Alwar, Bahadurgarh, Bikaner, New Delhi, Faridabad, Greater NOIDA, Gurgaon, Hisar, Indore, Jammu, Jaipur, Jodhpur, Karnal, Kota, Mathura, Palwal, Rohtak, Sikar, Udaipur and Ujjain 4 IIT Guwahati Agartala, Asansol, Dhanbad, Durgapur, Gangtok, Guwahati,Imphal, Jorhat, Kalyani, Patna, Silchar, Siliguri, Shillong and Tezpur 5 IIT Kanpur Agra,…

Application Fee: The application fee payment can be done through online and offline process: Online process: Candidates can pay the fee through credit/debit card using online payment gateway. Offline process: Payment can be made through the bank challan. Exam For Wthout Late With Late For Female Candidates Rs 750 Rs 1250 For SC/ST/PWD Rs 750 Rs 1250 For All Other Candidates Rs. 1500 Rs. 2000

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