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4.  Physics of Semiconductor Devices, Dilip K. Roy (1992), Universites Press, Distributed by
                       Orient Longman Limited.
                   5.  Solid  State  Electronic  Devices,  Ben  G.  Streetman,  2nd  Edtion(1986),  Prentice  Hall  Of
                       India New Delhi-110001.
                   6.  Principle of Electronics, VK Mehta, S Chand and Company
                   7.  Electronic  Devices  and  circuit  theory,  R.  L.  Boylestad  and  L.  D.  Nashelsky,  Pearson
                       Learning
                   8.  Digital Principles  and Applications, Donald P Leach, Albert Paul Malvino and Goutam
                       Saha, Pearson Education, Tata Mc-Graw Hill.

               Phys.223                   Mathematical and Computational Physics                        3+1*


               LEARNING OBJECTIVES:

               The primary objective of this course is to:
                     impart knowledge about various mathematical tools employed to study physics problems.
                     develop  required  mathematical  skills  to  solve  problems  in  quantum  mechanics,
                       electrodynamics and other fields of theoretical physics.
                     The course will also expose students to fundamental computational physics skills enabling
                       them to solve a wide range of physics problems.
                     The skills developed during course will prepare them not only for doing fundamental and
                       applied research but also for a wide variety of careers.

               LEARNING OUTCOMES:

               Upon completion of the course, the student should be able to:
                     Solve differential equation of various types arising in physics and mathematics.
                     Develop techniques to solve complicated equations using the series solution method.
                     Understand the importance of Fourier spaces and analyse functions accordingly.
                     Solve equations of mathematical physics in various coordinate systems.
                     basic numerical techniques to solve ordinary and partial differential equations appearing in
                       some situations in physics.
                     Monte-Carlo techniques and its applications in solving integral equations.
                     Pseudo-Random number generation and its application in quantum mechanical problems.
                     Spectral decomposition techniques and Fourier transforms


               THEORY (45 Hours)

               UNIT 1                                                                             (15 Hours)
               Fourier Intergals: Fourier expansion of functionsFourier Series: Periodic functions.Orthogonality
               of  sine  and  cosine  functions,  Dirichlet  Conditions  (Statement  only).Expansion  of  periodic
               functions  in  a  series  of  sine  and  cosine  functions  and  determination  of  Fourier
               coefficients.Complex  representationof  Fourier  series.Expansion  of  functions  with  arbitrary
               period.Expansion  of  non-periodic  functions  over  an  interval.Even  and  odd  functions  and  their
               Fourierexpansions.Application.Summing  of  Infinite  Series.  Term-by-Term  differentiation  and
               integration of Fourier Series. Parseval Identity.
               Laplace  integrals:  Laplace  Transforms:  Laplace  Transform  (LT)  of  Elementary  functions.
               Properties of LTs: Change of Scale Theorem, Shifting Theorem. LTs of Derivatives and Integrals
               of Functions, Derivatives and Integrals of LTs. LT of Unit Step function, Dirac Delta function,
               Periodic  Functions.  Convolution  Theorem.  Inverse  LT.  Application  of  Laplace  Transforms  to
               Differential Equations: Damped Harmonic Oscillator, Simple Electrical Circuits.




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