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.

COURSE DETAILS

Level:

Type:

Undergraduate

(A-)


Instructors: Konstantinos Anagnostopoulos
Department: School of Applied Mathematical and Physical Science
Institution: National Technical University of Athens
Subject: Other Sub-Discipline
Rights: CC - Attribution-NonCommercial-NoDerivatives

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