# MSc (Mathematics and Computing) Programme:Mathematical Methods

Thapar UniversityPrice on request

## MSc (Mathematics and Computing) Programme:Mathematical Methods

## MSc (Mathematics and Computing) Programme:Mathematical Methods

## MSc (Mathematics and Computing) Programme:Mathematical Methods

## MSc (Mathematics and Computing) Programme:Mathematical Methods

£ 399 - (Rs 32,652)

£ 249 - (Rs 20,377) £ 39 - (Rs 3,192)

+ VAT

Price on request

Price on request

## Important information

- Master
- Patiala

Starts | Location |
---|---|

On request |
PatialaThapar University P.O Box 32, 147004, Punjab, India See map |

## Course programme

Semester I

Real Analysis – I

Linear Algebra

Complex Analysis

Fundamentals of Computer Science and C Programming

Discrete Mathematical Structure

Differential Equations

Semester II

Real Analysis –II

Advanced Abstract Algebra

Computer Oriented Numerical Methods

Data Structures

Data Based Management Systems

Operating Systems

Semester III

Topology

Computer Based Optimization Techniques

Computer Networks

Mechanics

Seminar

Semester IV

Functional Analysis

Dissertation

Mathematical Methods

Laplace Transform: Review of Laplace transform, Applications of Laplace transform in initial and boundary value problems: Heat equation, wave equation, Laplace equation.

Fourier Series and Transforms: Definition, properties, Fourier integral theorem, Convolution theorem and Inversion theorem. Discrete Fourier Transforms (DFT), relationship of FT and Fast Fourier Transforms (FFT), linearity, symmetry, time and frequency shifting. Convolution and Correlation of DFT. Applications of FT to heat conduction, vibrations and potential problems, Z-Transform.

Hankel Transform: Hankel transforms, inversion formula for the Hankel transform, infinite Hankel transform, Hankel transform of the derivative of a function, Parseval's theorem, The finite Hankel transforms, Application of Hankel transform in boundary value problems.

Integral Equations: Linear integral equations of the first and second kind of Fredholm and Volterra type, Conversion of linear ordinary differential equations into integral equations, Solutions by successive substitution and successive approximation, Neumann series and Resolvent kernel methods.

Calculus of Variations: The extrema of functionals: The variation of a functional and its properties, Euler equations in one and several independent variables, Field of extremals, sufficient conditions for the extremum of a functional conditional extremum, moving boundary value problems, Initial value problems, Ritz method.