APMTH 225 - Advanced Scientific Computing: Numerical Methods for Partial Differential Equations Learning Course

[APMTH 225 - Advanced Scientific Computing: Numerical Methods for Partial Differential Equations Learning Course] APMTH 225 - Advanced Scientific Computing: Numerical Methods for Partial Differential Equations: APMTH 225 covers advanced numerical methods tailored for solving partial differential equations (PDEs) encountered in scientific and engineering applications. Topics include finite difference, finite element, spectral methods, and adaptive mesh refinement techniques. The course emphasizes understanding the mathematical formulations of PDEs, analyzing their numerical stability, and designing efficient algorithms for accurate solutions. Through theoretical study, programming assignments, and projects, students gain expertise in implementing numerical methods to simulate and analyze complex physical phenomena governed by PDEs. The course prepares students for research and applications in computational fluid dynamics, electromagnetics, materials science, and other fields requiring sophisticated PDE-solving capabilities. This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.