Page 143 - Handbook Bachelor Degree of Science Academic Session 20212022

Faculty of Science Handbook, Academic Session 2021/2022

6. Shen Wen, An Introduction to Numerical Computation, 2nd. Ed.
References:
1. M.N.O. Sadiku, Elements of Electromagnetics, 7 ed. (Oxford Univ (World Scientific, 2020)
th
Press, 2018)
2. David J. Griffiths, Introduction to Electrodynamics, 4 th ed. SIF2009 ELECTRONICS PRACTICAL (2 CREDIT)
(Cambridge Unive Press, 2017)
3. William H. Hayt, Engineering Electromagnetics, 8 ed. (McGraw-
th
Hill, 2012) Experiments that involve electronic components such as diodes,
4. Munir H. Nayfeh, Morton K. Brussel, Electricity and Magnetism rectifiers, transistors, amplifiers and digital electronics.
(Courier Dover Publications, 2015) Assessment Method:
5. David K. Cheng, Fundamentals of Engineering Electromagnetics Final Examination: 0%
(Pearson, 1993) Continuous Assessment: 100%
6. Costas J. Papachristou, Introduction to Electromagnetic Theory
and the Physics of Conducting Solids (Springer, 2020)
References:
1. Manual eksperimen
2. R. Boylestad & L. Nashelsky, Electronic Devices and Circuit
SIF2005 STATISTICAL PHYSICS (3 CREDITS)
Theory, 11th ed. (Prentice Hall, 2012)
Summary of thermodynamics, Statistical thermodynamics, Boltzmann 3. Albert Malvino, David Bates, Electronic Principles (McGraw Hill,
2015)
entropy, Shannon entropy; application canonical ensemble approach 4. T. L. Floyd & D. Buchla, Electronics Fundamentals: Circuits,
with examples in paramagnetic solid, specific heat capacity, classical Devices, and Applications. (Pearson, 2013)
and quantum distribution, Maxwell Boltzmann distribution and ideal
classical gas, ideal quantum gas, Bose-Einstein distribution, Fermi-Dirac 5. Y. Poplavko, Electronic Materials: Principles and Applied Science
distribution, Applications covering photon and blalck body radiation, (Elsevier, 2018)
phonon in solid, grand canoncial ensemble, Bose-Einstein
condensation, electron gas in metal. SIF2010 PHYSICS PRACTICAL II (2 CREDITS)

Assessment Method:
Final Examination: 60% Practical classes for experiments in fundamental physics on topics
Continuous Assessment: 40% including electricity, magnetism, thermodynamics, optics, spectroscopy
and others.
References: Assessment Method:
1. R. Bowley and M. Sanchez, Introductory Statistical Mechanics Final Examination: 0%
(Oxford Science Publ., 2002) Continuous Assessment: 100%
2. Silvio R.A. Salinas, Introduction to Statistical Physics (Springer,
2001) References:
3. F. Reif, Fundamentals of Statistical and Thermal Physics 1. Lab manual
(McGraw-Hill, 1965) 2. M.I. Pergament, Methods of Experimental Physics, 1st Ed. (CRC
4. F. Mandl, Statistical Physics, 2nd ed. (Wiley, 1988) Press, 2019)
5. Michael V. Sadovskii, Statistical Physics (Walter de Gruyter GmbH,
2019)
SIF2026 MECHANICS II (3 CREDITS)

SIF2007 NUMERICAL AND COMPUTATIONAL METHODS (3 Brief history of analytical mechanics (force & energy based approach);
CREDITS) Newton equation of motion in noninertial frame of reference (linear and
angular acceleration, rotating coordinate system, centrifugal force,
Scientific Computing : Taylor’s Theorem, errors, computer language, Coriolis force, Foucault pendulum, modelling of planetary meteorological
simple approximations phenomena); Coupled oscillation (two-coupled oscillator and normal
Interpolation : Lagrange interpolation, Newton interpolation, piecewise coordinates, vibration of molecules, dissipative systems). Nonlinear
interpolation, least square approximation oscillation (Nonlinear oscillating systems, qualitative discussion of
Optimisation : Newton optimisation, Golden Search method motion, phase diagrams, bifurcation, chaos, fractal geometry);
Nonlinear equations: Bisection method, Newton method, Secant Lagrangian dynamics (generalized coordinates, D’Alembert principle,
method. Application and error analysis Lagrange’s equation of motion, problem solving using Lagrange
Initial value problems for ordinary differential equations : Single-step equation, Noether theorem for conservation laws, Lagrange equation for
method : Euler, Runge Kutta Method order 2 and 4, Multistep method; nonnonholonomic constraints and dissipative systems ); Hamiltonian
Addams Families dynamics (Hamilton’s principle, Hamiltonian, Hamilton’s equation of
Linear equations : Gaussian elimination, LU factorization, motion, phase space, Liouville’s theorem, Poisson bracket ); Special
Decomposition method theory of relativity (Einstein’s postulates, Lorentz transformation, length
Numerical integration : Mid-point, basic Trapezoid and basic Simpson’s contraction, time dilation, covariant formulation, four vectors, relativistic
rule, Composite trapezoid and composite Simpson’s rule, errors. dynamics, lagrange and Hamiltonian formulation for relativistic
mechanics), Capita Selecta.
Assessment Method:
Final Examination: 60% Assessment Method:
Continuous Assessment: 40% Final Examination: 60%
Continuous Assessment: 40%
References:
1. J. Faires, Richard Burden, Numerical Methods, 4th References:
ed.(Brooks/Cole, 2013) 1. W. Greiner, Classical Mechanics Systems of Particles and
2. P. G. Guest, Philip George Guest, Numerical Methods of Curve Hamiltonian Dynamics. (Springer, 2010) (UMLibrary eBook)
Fitting (Cambridge University Press, 2013) 2. Dieter Strauch, Classical Mechanics: An Introduction (Springer,
3. T. Veerarajan, Numerical Methods (Tata McGraw-Hill Education, 2009) (UMLibrary eBook)
2013) 3. S.T. Thornton & J.B. Marion, Classical Dynamics of Particles and
4. J.F. Epperson, An Introduction to Numerical Methods and Analysis Systems, 6th ed. (Brooks Cole, 2004)
(Wiley, 2007) 4. G.R. Fowles & G.L. Cassiday, Analytical Mechanics, 6th ed.
5. N.J. Giordano & H. Nakanishi, Computational Physics, 2nd ed. (Thomson Brooks/Cole, 2005)
(Prentice-Hall, 2005)

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