IIT JAM Syllabus 2019
Download Updated IIT JAM Syllabus 2019 (Topic Wise) in PDF from here!!! In the month of September 2018, IIT JAM is going to be conducted by the Joint Admission Test (JAM). IIT JAM Application Form will be available from 5th Sep 2018 at the official website. Students can start their preparation for IIT JAM Exam from latest IIT JAM Topic Wise Syllabus 2019 given here. Indian Institutes of Technology (IIT) has laid down the IIT JAM Syllabus 2019 for Physics, Chemistry and Maths and other subjects. Candidates must prepare for Jam Entrance exam keeping in mind the IIT JAM Imp Topics and weightage of each subject.
From the below section of this page of sarkarinaukrikhabar.in, you can check the detailed IIT JAM Syllabus 2019 for different disciplines like medical and engineering etc. to know more, please have a look below:
IIT JAM Syllabus 2019 – Biotechnology
Biology (10+2+3 Level)

General Biology

Biochemistry and Physiology

Basic Biotechnology

Molecular Biology

Cell Biology

Microbiology
IIT JAM 2019 syllabus – Biological Science

General Biology

Mathematical Sciences

Microbiology, Cell Biology and Immunology

Basics of Biochemistry, Molecular Biology, Biophysics
IIT JAM Syllabus 2019 – Chemistry
PHYSICAL CHEMISTRY

Atomic and Molecular Structure

Basic Mathematical Concepts

Theory of Gases

Chemical Thermodynamics

Solid state

Electrochemistry

Chemical and Phase Equilibria

Spectroscopy

Chemical Kinetics

Adsorption
IIT JAM Application Form 2019
ORGANIC CHEMISTRY

Basic Concepts in Organic Chemistry and Stereochemistry

Qualitative Organic Analysis

Organic Reaction Mechanism and Synthetic Applications

Aromatic and Heterocyclic Chemistry

Natural Products Chemistry
INORGANIC CHEMISTRY

Periodic Table

Transition Metals (d block)

Main Group Elements (s and p blocks)

Chemical Bonding and Shapes of Compounds

Bioinorganic Chemistry
IIT JAM 2019 syllabus – Geology

Geomorphology

The Planet Earth

Petrology

Palaeontology

Stratigraphy

Structural Geology

Economic Geology

Applied Geology
Read: परीक्षा से पहले अपने मन को तेज़ कैसे करें – जानिए गुरुमंत्र
IIT JAM Syllabus 2019 – Mathematics
Sequences and Series of Real Numbers: Convergence of sequences, convergence criteria for sequences of real numbers, bounded and monotone sequences, Sequence of real numbers, BolzanoWeierstrass theorem, Cauchy sequences, subsequences. Absolute convergence, Series of real numbers, tests of convergence for series of positive terms – comparison test, ratio test, root test; Leibniz test for convergence of alternating series.
Functions of One Real Variable: Limit, intermediate value property, continuity, differentiation, Rolle’s Theorem, mean value theorem,, Taylor’s theorem, L’Hospital rule, maxima and minima.
Functions of Two or Three Real Variables: Limit, continuity, partial derivatives, differentiability, maxima and minima.
Integral Calculus: Integration as the inverse process of differentiation, fundamental theorem of calculus, definite integrals and their properties. Double and triple integrals, calculating surface areas and volumes using double integrals, change of order of integration, calculating volumes using triple integrals.
Differential Equations: Ordinary differential equations of the first order of the form y’=f(xy), Bernoulli’s equation, integrating factor, exact differential equations, orthogonal trajectories, homogeneous differential equations, linear differential equations of second order with constant coefficients, variable separable equations, method of variation of parameters, CauchyEuler equation.
Vector Calculus: Scalar and vector fields, divergence, gradient, curl, line integrals, Green, Stokes and Gauss theorems, surface integrals.
Group Theory: Groups, subgroups, nonAbelian groups, Abelian groups, cyclic groups, permutation groups, normal subgroups, group homomorphisms and basic concepts of quotient groups, Lagrange’s Theorem for finite groups.
Linear Algebra: Finite dimensional vector spaces, linear independence of vectors, basis, dimension, linear transformations, range space, null space, matrix representation, ranknullity theorem. Rank and inverse of a matrix, determinant, consistency conditions, solutions of systems of linear equations, eigenvalues and eigenvectors for matrices, CayleyHamilton theorem.
Real Analysis: Interior points, closed sets, limit points, open sets, bounded sets, connected sets, compact sets, completeness of R. Power series (of real variable), radius and interval of convergence, Taylor’s series, termwise differentiation and integration of power series.
IIT JAM 2019 syllabus – Mathematical Statistics
In Mathematical Statistics 40 percent weightage is given to mathematics and 60 percent weightage is given to statistics
Mathematics
Sequences and Series: Comparison, root and ratio tests for convergence of series of real numbers, Convergence of sequences of real numbers.
Differential Calculus: Limits, continuity and differentiability of functions of one and two variables. Rolle’s theorem, mean value theorems, indeterminate forms, Taylor’s theorem, maxima and minima of functions of one and two variables.
Integral Calculus: Fundamental theorems of integral calculus. Applications of definite integrals, arc lengths, double and triple integrals, areas and volumes.
Matrices: Rank, inverse of a matrix, Systems of linear equations, eigenvalues and eigenvectors, Linear transformations, symmetric, CayleyHamilton theorem, skewsymmetric and orthogonal matrices.
Statistics
Probability: Axiomatic definition of probability and properties, multiplication rule. Theorem of total probability, conditional probability. Bayes’ theorem and independence of events.
Random Variables: Probability mass function, distribution of a function of a random variable. Mathematical expectation, probability density function and cumulative distribution functions, moments and moment generating function, Chebyshev’s inequality.
Standard Distributions: Geometric, Binomial, negative binomial, Poisson, hypergeometric, uniform, beta and normal distributions, exponential, gamma. Poisson and normal approximations of a binomial distribution.
Joint Distributions: Joint, marginal and conditional distributions. Distribution of functions of random variables. Joint moment generating function. correlation, simple linear regression. Product moments, Independence of random variables.
Sampling distributions: Chisquare, t and F distributions, and their properties.
Limit Theorems: Weak law of large numbers. Central limit theorem (i.i.d.with finite variance case only).
Estimation: Unbiasedness, method of moments and method of maximum likelihood, consistency and efficiency of estimators. Sufficiency, factorization theorem. RaoBlackwell and LehmannScheffe theorems, Completeness, uniformly minimum variance unbiased estimators. Confidence intervals for the parameters of univariate normal, two independent normal, and one parameter exponential distributions. RaoCramer inequality.
Testing of Hypotheses: Likelihood ratio tests for parameters of univariate normal distribution. Basic concepts, applications of NeymanPearson Lemma for testing simple and composite hypotheses.
IIT JAM Syllabus 2019 – Physics
Mathematical Methods: Calculus of single and multiple variables, Taylor expansion, partial derivatives, Jacobian, Fourier series, imperfect and perfect differentials. Vector algebra, Vector Calculus, Multiple integrals, Green’s theorem, Divergence theorem, Stokes’ theorem. Matrices and determinants, Algebra of complex numbers. First order equations and linear second order differential equations with constant coefficients.
Mechanics and General Properties of Matter: Velocity and acceleration in Cartesian, Newton’s laws of motion and applications, polar and cylindrical coordinate systems, centrifugal and Coriolis forces, uniformly rotating frame, Kepler’s laws, Motion under a central force, Gravitational Law and field, Conservative and nonconservative forces. Equation of motion of the CM System of particles, Center of mass, conservation of linear and angular momentum, elastic and inelastic collisions. conservation of energy, variable mass systems.
Oscillations, Waves and Optics: Superposition of two or more simple harmonic oscillators. Differential equation for simple harmonic oscillator and its general solution. Damped and forced oscillators, resonance, Lissajous figures. Energy density and energy transmission in waves. Wave equation, traveling and standing waves in onedimension. Doppler Effect. Fermat’s Principle. Group velocity and phase velocity. Sound waves in media.
Electricity and Magnetism: Gauss’s law. Electric field and potential. Coulomb’s law, Electrostatic boundary conditions, Conductors, dielectric polarization, capacitors, dielectrics, volume and surface charges, electrostatic energy. Ampere’s law, BiotSavart law, Self and mutual inductance, Faraday’s law of electromagnetic induction,. Alternating currents. Solution of Laplace’s equation for simple cases.
Kinetic theory, Thermodynamics: Elements of Kinetic theory of gases. Specific heat of Mono, di and triatomic gases. Velocity distribution and Equipartition of energy. Ideal gas, vanderWaals gas and equation of state. Mean free path. Carnot cycle. Zeroth law and concept of thermal equilibrium. Reversible, irreversible and quasistatic processes. First law and its consequences. Second law and entropy. Laws of thermodynamics. Isothermal and adiabatic processes.
Modern Physics: Postulates of special relativity. Lorentz transformations. Inertial frames and Galilean invariance. Time dilation. Length contraction, Relativistic velocity addition theorem, mass energy equivalence. Blackbody radiation, photoelectric effect, Compton effect, Bohr’s atomic model, Xrays.
Solid State Physics, Devices and Electronics: Crystal structure, Miller indices. Xray diffraction and Bragg’s law; Bravais lattices and basis; Intrinsic and extrinsic semiconductors, variation of resistivity with temperature. Fermi level. pn junction diode, IV characteristics, BJT: characteristics in CB, CE, CC modes, Zener diode and its applications.