Course Structure

PhD (Applied Mathematics)

S. No.	Course No.	Course	Credits
1ST SEMESTER
1	AM 501	Advanced Analysis	2
2	AM 502	Advanced Numerical Optimization Techniques	2
3	AM 503	Advanced Numerical Techniques for Differential Equations	2
4	AM 504	Advanced Mathematical Modeling	2
5	AM 505	Parallel Iterative Methods for Partial Differential Equations	2
6	AM506	Operator Theory	2
7	AM 507	Computational Finance	2
8	AM 508	Advanced Graph Theory	2
9	AM 509	Quantum Calculus	2
2ND SEMESTER
1	AM 600	Seminar	2
2	AM 601	Weighted Norm Inequalities and Integral Operators on Function Spaces
3	AM 602	Swarm and Evolutionary Algorithms	4
4	AM 603	Robust Numerical Methods for Singularly Perturbed Problems	4
5	AM 604	Modelling of Biological Systems	4
6	AM 605	High Resolution Computational Methods for Partial Differential Equations	4
7	AM 606	Advanced Fuzzy Set Theory	4
8	AM 607	Soft Computing Technique for Differential Equations	4
9	AM 608	Spectral Graph Theory and Signed Graphs	4

A student will be required to opt any 5 courses out of the offered elective courses in the 1st semester, whereas in 2nd semester a student has to opt any one of the elective courses offered during the semester.

NOTE: A student has to earn 16 credits from among the elective courses.