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April 14th, 2017, 07:49 AM
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Join Date: Mar 2012
Re: University of Pune Department of Space & Sciences

There is Department of Atmospheric and Space Sciences of University of Pune.

There is no Department named as Department of Space & Sciences in this University.

The Department offers following courses:
M. Sc. (Atmospheric Science)
M.TECH (Atmospheric Science)
Ph.D

Here I am providing syllabus of M.Sc Course (Atmospheric Science) for your reference:

University of Pune M. Sc. (Atmospheric Science) Syllabus

List of Courses and Structure :
AS-01-T Mathematical, Statistical and Numerical Methods- I
AS-02-T Mathematical, Statistical and Numerical Methods- II
AS-03-T Fundamentals of Earth Sciences, Synoptic Meteorology and Climatology
AS-04-T Physical Meteorology
AS-05-T Dynamic Meteorology I
AS-06-T Dynamic Meteorology II
AS-07-T Meteorological Instruments and Observational Techniques
AS-08-T Tropical Meteorology and Ocean Sciences
AS-09-T Cloud Physics and Atmospheric Electricity
AS-10-T Numerical Weather Prediction
AS-11-T Climate Sciences
AS-12-T Atmospheric Chemistry and Air Pollution *
AS-13-T Space Meteorology *
AS-14-T Solar Physics *
AS-15-T Agricultural Meteorology *
AS-16-T Aviation Meteorology *
AS-17-T Satellite & Radar Meteorology *
AS-18-T Upper Atmosphere *
AS-19-L Laboratory Course I
AS-20-L Laboratory Course II
AS-21-P Project Work I
AS-22-P Project Work II

AS-01-T: Mathematical, Statistical and Numerical Methods- I
Mathematical Methods (3 credits)
Properties of matrices: Vector spaces, linear dependence and independence, basic properties,
basis and rank of a matrix, symmetric and skew symmetric, Hermitian and Skew Hermitian,
orthogonal and unitary matrices, homogeneous and non-homogeneous linear simultaneous
equations and their consistency, Eigen values and Eigen-vectors, Cayley-Hamilton theorem
and its applications, various techniques for computation of inverse of matrices to find solutions of non-homogeneous equation, Eigen-values and Eigen-vectors of symmetric as well as nonsymmetric matrices and their applications.
Complex analysis: Differentiable and Analytic functions, singularity, Taylor's series, Laurent
series, calculus of residue, contour integration, Vector calculus: Gradient, Divergence, Curl, Line integral, Surface integral, Green’s theorem, Gauss divergence theorem and Stokes' theorem.
Differential Equations: Ordinary Differential Equation Euler’s Method, Taylor Series method, Runge Kutta method (2nd and 4th Order) and Partial Differential Equation, classification of differential equations. Solving Elliptic, Parabolic and Hyperbolic partial differential equations.
Statistical methods (1 credit)
Measures of central tendency and dispersion, moments, scatter diagram, least squares method. Regression equation, coefficients of correlation by Rank Correlation as well as Product Moment method and their significance, partial and multiple correlations and their
applications, Principal component Analysis, tests of significance, Students’- t, Chi square tests, ANOVA.

Numerical Methods (1 credit)
Finding roots of Algebraic and Transcendental Equations by Bisection, Regula Falsi and
Newton – Raphson’s methods, Finite difference schemes, Interpolation: Newton’s Forward and Backward Difference, Sterling’s interpolation and Lagrange’s Interpolation.
Numerical Integration: Trapezoidal rule, Simpson’s 1/3 and 3/8 rule. Gaussian quadrature.
AS-02-T: Mathematical, Statistical and Numerical Methods- II
Mathematical Methods (2 credits)
Transforms: Fourier series, Fourier transforms, convolution, inverse Fourier transforms and
their applications in solving boundary and initial value problems. Fast Fourier Transforms Special Functions: Legendre polynomial, Hermite polynomial, Laguerre polynomial,
introduction to Bessel functions. Time series analysis, trends and periodicities

Statistical Methods (1 credit)
Probabilty and statistics: theory of probability and probability distribution, binomial
distribution and Pseudo random number generation by Monte Carlo technique. Poisson and
Gaussian distribution and gamma distribution, random walk, t-and chi-square distribution.

Numerical Methods (2 credits)
Numerical solutions of Simultaneous Algebraic Equations. Generation of random number,
Monte-Carlo technique

Concept of finite element method, solution of ordinary differential equation, Euler method,
Taylor series, Runge Kutta method, solution of partial differential equations, elliptic equations. Approximation of function by cubic spline, harmonic analysis, spectral analysis, use of filters.



Contacts
The Department of Atmospheric and Space Sciences
Dr. P. Pradeep Kumar, Head of Department
Department of Atmospheric & Space Sciences
Publication Complex, University of Pune
Pune 411 007, India
Telephone
+91-020-25697752
+91-020-25601161
+91-020-25691712
FAX
+91-020-25691712
E-MAIL
hoddass@unipune.ac.in


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