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Program Details

Ph.D. (in areas of Mathematics and Computer Science)

The aim of the PhD programme is to produce students with high quality research capability and independent thinking in various areas of Mathematics, Statistics and Computer Science.

Computer Science
  • Algorithms
  • Approximation Algorithms
  • Computational Geometry
  • Distributed Computing
  • Formal Languages and Automata Theory
  • Theoretical Computer Science
  • Wireless Networks
  • Wireless Sensor Networks

 

 

 

 

 

   
Mathematics
  • Algebraic Combinatorics
  • Algebraic Geometry
  • Combinatorial Matrix Theory
  • Combinatories
  • Complex Dynamics and Fractals
  • Computational Fluid Dynamics
  • Flow through porous media
  • Functional Analysis
  • General Algebra
  • Graph Theory
  • Harmonic Analysis
  • Hydrodynamic Loading
  • Hyperbolic 3-manifolds
  • Low Dimensional Topology
  • Mathematical Biology
  • Matrices & Graphs
  • Number Theory
  • Numerical Analysis
  • Numerical Functional Analysis
  • Numerical Homogenization
  • Numerical Linear Algebra
  • Numerical Methods for PDEs
  • Numerical solution to Differential Equations
  • Optimal Control Theory
  • Optimization Techniques
  • River mechanics
  • Sloshing dynamics
  • Special Functions
  • Spectral Graph Theory
  • Two-phase Flows
  • Water Wave Mechanics
Statistics
  • Distributions models and its applications
  • Financial Mathematics
  • Operations Research
  • Queueing Theory
  • Stochastic Modelling
 

Ph.D Batch |

Ph.D Batch


Code Course Name L–T-P Credits
MA615 Programming and Data Structures 3-0-2 8
MA617 Design and Analysis of Algorithms 3-0-0 6
MA618 Mathematics for Computer Science 3-0-0 6
MA619 Data Structures Lab 0-2-2 6
MA625 Linear Algebra - 1 3-1-0 8
MA642 Real Analysis - 1 3-1-0 8
MA662 Differential Equations 3-1-0 8
MA683 Probability Theory 3-1-0 8
MA684 Advanced Probability 3-0-0 6
MA689 Applied Statistics 3-0-0 6
MA719 Linear Algebra - II 4-0-0 8
MA721 Introduction to Analytic Number Theory and Algebraic Number Fields 4-0-0 8
MA722 Topological Groups and Advanced Algebra 4-0-0 8
MA723 Permutation Groups and Group Actions 4-0-0 8
MA724 Combinatorial Group Theory 4-0-0 8
MA725 Non-Negative Matrix Theory 4-0-0 8
MA726 Number Theory 4-0-0 8
MA727 Modern Algebra and Number Theory 4-0-0 8
MA728 Universal Algebra 4-0-0 8
MA731 Functional Analysis 4-0-0 8
MA732 Spectral perturbation theory for bounded linear operators 4-0-0 8
MA733 Spectral perturbation theory for matrices and matrix pencils 4-0-0 8
MA741 Complex Analysis 4-0-0 8
MA742 Iteration Theory 4-0-0 8
MA745 Theory of Distribution and Sobolev Spaces 4-0-0 8
MA746 Fourier Analysis 4-0-0 8
MA747 Measure Theory 4-0-0 8
MA748 Advanced Complex Analysis 4-0-0 8
MA751 Differential Equations and Boundary-Value Problems 4-0-0 8
MA752 Theory of Partial Differential Equations 4-0-0 8
MA753 Perturbation Techniques 4-0-0 8
MA754 Homogenization 4-0-0 8
MA761 Advanced Fluid Dynamics 4-0-0 8
MA763 Introduction to Environmental Diffusion 4-0-0 8
MA765 Wave Structure Interaction 4-0-0 8
MA771 Advanced Numerical Analysis 4-0-0 8
MA773 Finite Element Methods 4-0-0 8
MA781 Statistical Methodologies for Modern Clinical Studies 3-0-0 6
MA782 Lévy Processes 4-0-0 8
MA793 DATA STRUCTURES AND ALGORITHMS 3-0-2 8
Total Credit  


* Courses for Any Semester [If a course in this column is offered in Odd Semseter, then it will not be offered in even semester for the same academic year]