Page 39 - handbook 20152016

Faculty of Science Handbook, Session 2015/2016

systems and microcontrollers. Microprocessor architecture: internal Soft-skills:
organization, programming models, the arithmetic and logic unit, CTPS3
registers, stack pointer, internal data bus and logic controller. Memory:
types of memory, memory chips, connections to the microprocessor, References:
interfacing and expansion technique, using technique and secondary 1. Mary L. Boas, Mathematical Methods in the Physical Sciences,
storage. Communicating with the outside world, input and output (I/O), 3rd ed. (John Wiley & Sons, 2006)
connectivity and the timing diagram, programming the I/O chip, serial 2. S. Hassani, Mathematical Methods: For Students of Physics and
and parallel connection techniques, analogue to digital and digital to Related Fields, , 2rd Edition (Springer, 2009)
analogue converters. Programming: algorithm and flowcharts, 3. K. F. Riley, M. P. Hobson, Essential Mathematical Methods for the
commands and its types, operation codes, addressing modes, flow of Physical Sciences (Cambridge University Press, 2011)
information, assembly language, loops and subroutines. Interfacing: 4. G.B. Arfken, H.J. Weber, Mathematical Methods for Physicists: A
serial and parallel techniques, functions and characteristics of UART, Comprehensive Guide, 7th Edition (Elsevier Acad. Press, 2012)
baud rate and it effects, serial data control word, interfacing standards, 5. G. N. Felder, K. M. Felder, Mathematical Methods in Engineering
handshaking principles and Physics (John Wiley & Sons, 2015)

Assessment Method: SIF3011 QUANTUM MECHANICS II (3 CREDITS)
Final Examination: 60% General formalism of quantum mechanics. Time-independent
Continuous Assessment: 40% perturbation theory. Time-dependent perturbation theory. Scattering
theory. Angular momentum. Additional of angular momentum.
Medium of Instruction: Relativistic quantum mechanics.
English
Assessment Method:
Soft-skills: Final Examination: 60%
CS2, CTPS3, LL2 Continuous Assessment: 40%

References: Medium of Instruction:
1. J. Uffenback, Microcomputers and Microprocessors (Prentice English
Hall, 2006)
2. Ramesh S. Gaonkar, The Z80 Microprocessor: Architecture, Soft-skills:
Interfacing, Programming & Design, 2nd ed. (Merrill Publ. Co., CS3, CTPS3, LL2
2001)
3. R.J. Tocci & F.J. Ambrosio, Microprocessors and References:
Microcomputers: Hardware and Software, 6th ed. (Pearson 1. James Binney, David Skinner, The Physics of Quantum
Education Int’l, 2003) Mechanics (Oxford University Press, 2014)
4. Jon Stokes, Inside the Machine: An Illustrated Introduction to 2. Kurt Gottfried, Tung-Mow Yan, Quantum Mechanics:
Microprocessors and Computer Architecture (William Pollock, Fundamentals 2nd ed. (Springer, 2013)
2015) 3. Reinhold Blumel, Advanced Quantum Mechanics: The Classical-
5. Subir Kumar Sarkar and Asish Kumar De,Foundation of Digital Quantum Connection (Jones and Barlett, 2011)
Electronics and Logic Design (CRC Press, 2014) 4. David J. Griffiths, Introduction to Quantum Mechanics, 2nd ed.
6. M. Rafiquzzaman, Fundamentals of Digital Logic and (Pearson Prentice Hall, 2004)
Microcontrollers (Wiley, 2014) 5. S. Gasiorowicz,Quantum Physics, 3rd ed. (Wiley 2003)

SIF2022 MATHEMATICAL METHODS II (3 CREDITS) SIF3012 COMPUTATIONAL PHYSICS (3 CREDITS)
Fourier Series and Transformation Series: Periodic functions, Fourier Ordinary Differential Equations: boundary-value and eigenvalue
series, average value of a function, Fourier coefficient, Dirichlet problems, Sturm-Liouville problem.
condition, complex form of Fourier Series, general interval, even and Matrices: matrix eigenvalue problems, Faddeev-Leverrier method,
odd functions, Parseval theorem. Fourier transformation, and Parserval Lanczos algorithm.
Theorem. Tranforms: Fast Fourier transform, wavelet transform, Hilbert
Coordinate Transformation: Linear transformation, orthogonal transform.
transformation, eigen value and eigen vector and diagonalization of Partial Differential Equations: Elliptic, parabolic and hyperbolic
matrices. Curvilinear coordinates, scalar factor and fundamental vector equations.
for orthogonal system, general curvilinear coordinates, vector operator Probabilistic Methods: Random numbers, random walks, Metropolis
in orthogonal curvilinear coordinates. algorithm, Monte Carlo simulation, Ising model, particle transport
Special Functions: Factorial functions, Gamma functions, Beta modelling.
functions, relationship between Beta and Gamma functions, error Symbolic Computing: Matlab, Mathematica, Python, Scilab.
functions, asymptotic series, Stirling formula and elliptical functions.
Series Solution for Differential Equations: Legendre equations, Leibnitz Assessment Method:
rule, Rodriguez formula, generating functions for Legendre polynomial, Final Examination: 60%
orthogonal functions, orthogonalization and normalization of Legendre Continuous Assessment: 40%
polynomials, Legendre series, Associate Legendre function, Frobenius
method, Bessel equation, second solution of Bessel equation, Medium of Instruction:
recurrence relationship, general differential equation with Bessel English
function as a solution, orthogonalization of Bessel function, Hermite
function, Laguerre function, step operator. Soft-skills:
Partial Differential Equation: Laplace equation, steady state CS3, CTPS3, LL2
temperature in a square plate, Schrödinger equation, heat and diffusion
equation. Wave equation, vibrating string, steady state temperature in References:
a cylinder, steady state temperature in a sphere, Poisson equation. 1. S. Koonin & D. Meredith, Computational Physics (Westview Press
1998)
Assessment Method: 2. J. M. Thijssen, Computational Physics, 2nd ed. (Cambridge, 2007)
Final Examination: 60% 3. Paul L. DeVries and Javier Hasbun, A First Course in
Continuous Assessment: 40% Computational Physics, 2nd Edition (2011)
4. Joel Franklin, Computational Methods for Physics, (2013)
Medium of Instruction: 5. Mark E. J. Newman, Computational Physics (2012)
English

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