Introduction to Computational Physics using Python/MATLAB – Training Services

Introduction to Computational Physics using Python/MATLAB – Training Services provides foundational training on applying computational tools to solve physics-based problems. The course introduces numerical methods such as root finding, integration, differential equations, and linear algebra, implemented through Python and MATLAB. Participants will learn how to model physical systems, simulate dynamic processes, and visualize results effectively. Emphasis is placed on problem-solving strategies, algorithm development, and validation of computational models with experimental or analytical data. Case studies highlight applications in mechanics, electromagnetism, quantum physics, and thermodynamics. Hands-on coding sessions provide practical experience in writing scripts, debugging, and optimizing simulations. By the end of the training, participants will be able to apply computational approaches confidently for analyzing and solving physics problems.