Computational Physics II Modelling

Learning of basic Monte Carlo techniques in statistical physics models. Writing code, data collection and analysis. The course provides a basis for understanding technical simulations with a wide range of applications and process construction and design standards (models).

Objectives

By completing this course the student acquires a foundation for the study of such systems in solid state physics , high energy physics , biology , chemistry , financial modeling etc.

Prerequisites

Partial Differential Equations, Numerical Analysis, Computational Physics I

Syllabus

Learning of basic Monte Carlo techniques in statistical physics models, computer code development , data collection and analysis . The course is based on the understanding of modelling with a wide range of applications and the process of construction and design standards ( models ) . Although the focus is on studying models of statistical physics, the student acquires a foundation for the study of such systems in solid state physics , high energy physics , biology , chemistry , financial modelling etc.