Top Exam oriented Books Recommended for MSc IT Information Technology by Gauhati University

 List of Best Recommended Text Books for MSc IT Students

• Stroustrup, B. (1995) The C++ Programming Language, Addison Wesley Publishing Company

• Schild Herbert , The Complete Reference to C++, Osborne McGraw Hill.

• Rambaugh et al., Object Oriented Modeling and Design, P.H.I. (EEE).

The Best Recommended History books for MA course in Gauhati University

        Top History Books Reading List: Recommended by Gauhati University for various Exams

Best Book 

1. Bloch. Marc. 1953. The Historians Craft. London : Manchester University Press 
2. Braudel.F.1992.On History. London: Chicago University Press
3. Bury. J.B. 1920.The Idea of Progress. London: The Macmillan and Co. 
4. Butterfield. H. 1931. The Whig Interpretation of History. London: WW Norton& Company 
5. Carr. E.H. 1987.What is History. London: Cambridge University Press 
6. Collingwood. R.G. 1946.The Idea of History. London: Oxford University Press 
7. Fritz. Stern.(ed.) 1973. The Varieties of History. New York: Random House 

Recommended Books Readings for Laboratory Practical in BE course

Recommended Books Readings for Laboratory Practical of Electronics and Telecommunication Technology

Suggested Reading:

1.      Electronic Devises & Circuits Theory – Boylestad & Nashalsky. Pearson Education 2.      Modern Digital Electronics –R.P. Jain, TMGH 3.      Fundamentals of Microprocessor – B.Ram. Dhanpat Rai 4.      Introduction to Microprocessors – Gaonkar,New age Publication

Best C++ and Operating System Books Recomended by GU

C++ and Operating System Best Recommended Books by Department of Electronics & Telecommunication, Gauhati University, India

Suggested Reading:

Programming in C++:

1.      Programming in C++  -  Kamthane, Pearson Education; 2.      Programming in C++  - Balaguruswamy, TMGH; 3.      Let us C++  - Kanitkar, BPB Publishers

Operating System:

1.      Operating System – Deitel, Pearson Education 2.       Operating System – Tanenbaum, PHI

Best recommended Books by Gauhati University for MSc Electronics & Telecommunication Course

Best recommended Books by Gauhati University for MSc Electronics & Telecommunication Course

Suggested Reading:

Applied Quantum Mechanics:

1. Applied Quantum Mechanics – AFJ Levi, Cambridge Univ. Press 2. Concepts of Modern Physics – Arthue Beiser 3. Fundamentals of Nanoelectronics – George W. Hanson, Pearson Pub.

Semiconductor Devices: 1. Electronic Devices & circuits. – David A. Bell, PHI 2.Semiconductor Devices – Jasprit Singh, John Wiley 3. Semiconductor Devices – Physics and Technology – S.M.Sze, Wiley 4. Electronic Devises & Circuits Theory – Boylestad & Nashalsky. Pearson Education 5.Electronic Device & Circuit – Millman-Halkias, Tata McGraw Hill.

Best Recommended Books for Network Analysis Electronics

Best Recommended Books for Network Analysis , MSc 1st sem Course under Gauhati University

Suggested Reading

1. Network analysis – G.K. Mittal, Khanna Publishers. 2. Network Theory and filters Design – V.K. Aatre, Wily Eastern Ltd. 3. Engineering Circuit Analysis – W.H. Hayt and J.E. Kemmerly, McGraw Hill, 1978. 4.Network Analysis – M.E. Van Valkenberg, Prentice Hall of India Pvt. Ltd, 5.Network Analysis – Ghosh, PHI 6.Linear Circuit Analysis – Liu, Oxford University Press; 7.Network Analysis – Stanlay, Pearson Education;

Best Books for Electronics & Telecommunication Technology 1st semester Book List

Best Books for Electronics & Tele Communication Technology 1st semester course Under Indian University.

Suggested readings:

Electronic materials:

1. Solid State Physics - A J Dekker, McMillan Publisher, India 2. An Introduction to Solid State Physics - Charles Kittel, Wiley Publishers 3. Semiconductor Devices – Physics and Technology - S.M.Sze, Wiley 4. Electrical properties of materials - L.Solymar and D Walsh

Electronics & Telecommunication Technology PG Gauhati University Syllabus

A) Electronic Materials (50 marks)
Unit-1	Crystalline structure: Single crystals - unit cells, Bravais lattices, crystal planes, Miller indices, X-ray diffraction; Lattice vibrations; properties of polycrystalline and amorphous materials, crystalline defects, X-ray diffraction (10marks).
Unit-2	Semiconductors: Classification of solids - insulator, semiconductor and conductors; Intrinsic and extrinsic Semiconductors, Compound semiconductors – binary, ternary and quaternary types and their properties; carrier generation and recombination, carrier scattering in semiconductors. Electronic properties and application of semiconductor – semiconductor junction, metal – semiconductor junction, metal – insulator junction, insulator – semiconductor junction in electronic device fabrication. Low-dimensional semiconductor structures: super lattice, quantum wells, wires and dots and their application in electronics; organic and polymer materials for electronics (10 marks).
Unit-3	Conductors: Free electron theory of metals, Electrical conductivity and resistance, Boltzmann transport equation, thermionic emission and photoelectric effect, contact potential between metals, metallic alloys – interstitial and substitutional solid solutions, mutual solubility. Properties of common metals (Gold, Copper, Aluminum, Tin, Lead etc.), and their applications  in fabrication of electrical components and electronic devices (10 marks).
Unit-4	Dielectrics: Dielectric polarizations - electronic, ionic, orientation types, dielectric breakdown; alternating field behavior of dielectrics – complex dielectric constant, dielectric loss and relaxation time. Properties of dielectrics such as mica, ceramics, Silicon dioxide, Silicon Nitride etc., and their applications in fabrication of electrical components and electronic devices (10 marks).
Unit-5	Magnetic materials and Superconductors: Theory of ferromagnetic, anti-ferromagnetic, ferrimagentic, paramagnetic and diamagnetic materials; their properties and application in electrical and electronic engineering. Physics of superconductors and superconducting materials, Josephson effect, SQUID, High temperature superconductivity and its applications (10 marks).
B) Mathematical Methods (50 marks)
Unit-1	Linear Algebra: Introduction, Vector Spaces, Solutions of Linear Systems, Important Subspaces associated with a matrix, Orthogonality, Eigenvalues and Eigenvectors, Diagonalizable Matrices, Hermitian Matrices, General Matrices, Jordan Canonical form (7 marks).
Unit-2	Numerical Analysis: Principles of floating point computations and rounding errors; systems of linear equations, eigenvalue problems; interpolation, approximation by polynomials, data fitting and least squares approximation; Numerical Integration: integration by interpolation, adaptive quadratures and Gauss methods; Initial Value Problems for Ordinary Differential Equations: Runge-Kutta methods, multi-step methods, predictor and corrector scheme, stability and convergence analysis; Two Point Boundary Value Problems : finite difference methods with convergence results (7 marks).
Unit-3	Laplace and Fourier Transforms: Concept of Transforms, Laplace Transform(LT) and its existence, Properties of Laplace Transform, Evaluation of LT and inverse LT, Evaluation of integral equations with kernels of convolution type and its Properties, Complex form of Fourier Integral, Introduction to Fourier Transform, Properties of general (complex) Fourier Transform, Concept and properties of Fourier Sine Transform and Fourier Cosine Transform, Evaluation of Fourier Transform, Solution of ordinary differential equation and one dimension (12 marks).
Unit-4	Special Functions: Gamma and Beta functions, Bessel function, Error function, Legendre polynomials, Hermite and Laguere polynomials, Chebyshev and Jacobi polynomials, Hypergeometric functions, Laplace equation, Poisson’s Equation and Engineering applications (12 marks).
Unit-5	Probability & Statistics:  A review of concepts of probability and random variables: Classical, relative frequency and axiomatic definitions of probability, addition rule, conditional probability, multiplication rule, Bayes’ Theorem. Random Variables: Discrete and continuous random variables, probability mass, probability density and cumulative distribution functions, mathematical expectation, moments, moment generating function. Standard Distributions: Uniform, Binomial, Geometric, Negative Binomial, Poisson, Exponential, Gamma, Normal. Sampling Distributions: Chi-Square, t and F distributions. Estimation: The method of moments and the method of maximum likelihood estimation, confidence intervals for the mean(s) and variance(s) of normal populations. Testing of Hypotheses: Null and alternative hypotheses, the critical and acceptance regions, two types of error, power of the test, the most powerful test, tests of hypotheses on a single sample, two samples (12 marks).