Course Description
Ph.D. in Applied Mathematics course involves research in various methods of mathematical types associated with the graph theory, asymptotic analysis, scientific computation, bifurcation theory, probability and statistics, ordinary an partial differential equations, stability theory, singular perturbations, and stochastic processes. In this course, students study statistical concepts relating to inspection, engineering design, and quality assurance.Majot topics covered in this course are correlation, normality, probability, sampling, regression, and confidence intervals in reliability. This course is designed to enrich the applications like algebra and trigonometry, systems of linear equations, algebraic fractions, literal equations, quadratic equations, right triangles, vectors, word problems and their solutions.