M.A. in Mathematics

M.A. in Mathematics

Course Content:

Real Analysis
Complex Analysis
Topology
Discrete Mathematics
Functional Analysis
Differential Equations
Liner Algebra
Foundation of Computer Science
Abstract Algebra
Operations Research/Mechanics/ Hydrodynamics, Differential Geometry, Advance Analysis.
Elective : Numerical Analysis, Theory of Relativity, Sequence spaces/ Numerical solution of Partial Differential Equations, Operator Theory/Theory of Automata, Theory of Fractals, Distribution Theory & Soboler Spaces, Fluid Dynamics, Bezier Techniques for Computer Aided Geometric Design, Data Structure and Algorithm Analysis, Analytic Number Theory, Number Theory and Cryptography, Fourier Analysis, Fractural Geometric, Theory of Computation, Design & Analysis of Algorithm, Computational Finance.

Practical :
Semester-I – Data Processing & Numerical Computing, Laboratory.
Semester-II – Data Base and C++ Lab