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Five year integrated MSc Degree Course in Photonics.pdf

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Ord<strong>in</strong>ary Differential equations — First order equation, variables separable, homogeneous and<br />

nonhomogeneous equations, <strong>in</strong>tegrat<strong>in</strong>g factor, Bernoulli's equations, enact equations, second<br />

order l<strong>in</strong>ear differential equations with constant coefficients. Complimentary function and<br />

particular <strong>in</strong>tegral, solution us<strong>in</strong>g auxiliary equation.<br />

MODULE 4<br />

Partial differential equations — Derivation of PDE by elim<strong>in</strong>ation of arbitrary constants and arbitrary<br />

coefficients. Concept of Jacobian. Solution of Lagranges Differential equations, Partial differential<br />

equation of the second degree, Laplace, Helmholtz and Poisson equations.<br />

REFERENCES<br />

MODULE 1<br />

Calculus Vol I & Vol II — Manicavachgom Pillai, Vishwanathan Publish<strong>in</strong>g Co.,(2000) (Text)<br />

Differential Calculus — Shanti Narayan, Vishwanathan Publish<strong>in</strong>g Co.,(2000) (Text)<br />

Differential Calculus — Joseph Edwards, AIIBS Publishers,( 2001)<br />

Integral Calculus — Joseph Edwards<br />

Mathematical Physics — P K Chadopadhyaya<br />

Mathematical Methods for Physicists — G B Arfken, H I Weber, Academic Press, (2001)<br />

A text book of Mathematical Physicss — P K Chakrabarti, S N Kundu Books and Allied Pub.<br />

Calcutta<br />

Mathematical Methods <strong>in</strong> Classical & Quantum Physics — Tulsi Das, S K Sharma, University<br />

Press<br />

CEL 1105 STATISTICAL METHODS<br />

Probability spaces : conditional and <strong>in</strong>dependence, random variables and random distributions,<br />

marg<strong>in</strong>al and conditional distributions<br />

Curve fitt<strong>in</strong>g and pr<strong>in</strong>ciple of least squares, l<strong>in</strong>ear and quadratic curves, simple l<strong>in</strong>ear regression<br />

and correlation.<br />

MODULE 2<br />

Independent random variables, mathematical expectation, mean and variance, b<strong>in</strong>omial, Poissons<br />

and normal distributions, law of large numbers.<br />

MODULE 3<br />

Central limit theorem(no proof), sampl<strong>in</strong>g distribution and test for mean us<strong>in</strong>g T-distribution, c2<br />

and F distributions.<br />

MODULE 4<br />

Time series analysis, Stationarity and nonstationarity, autocorrelation function<br />

Test<strong>in</strong>g statistical hypothesis — significance level, Neyman-Pearson theorem (no proof) and some<br />

of its simple applications, large sample test, standard error, tests based on T, c 2 and F.<br />

CENTRE OF EXCELLENCE IN LASERS AND OPTOELECTRONICS SCIENCES 14

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