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Course description
  COMPUTATIONAL PHYSICS

Competencies and objectives

 

Course context for academic year 2019-20

Computational physics is the study and the implementation of numerical methods to solve problems in physics. This is probably one of the most recent areas in physics and often it is considered as an intermediate discipline between experimental physics and theoretical physics. Computational physics combines knowledge in computer science and mathematics for their application in solving physical problems. Therefore, this class will allow the student to put in practice many of the concepts and understanding acquired in previous years.

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees)

General Competences (CG)

  • CG1 : Develop the capacity for analysis, synthesis and critical reasoning.
  • CG3 : Solve problems effectively.
  • CG6 : Self-learning.
  • CG9 : Show ability to communicate information, ideas, problems and solutions to both specialized and non-specialized public.

 

Specific Competences (CE)

  • CE10 : Be able to use computing tools to model and solve physical problems.
  • CE12 : Recognize and analyze new problems and devise strategies to address them.
  • CE16 : Devise, analyze, validate and interpret models of real situations.
  • CE8 : Understand and master mathematical and numerical methods commonly used in Physics.
  • CE9 : Being able to model complex phenomena translating physical problems into mathematical language.

 

UA Basic Transversal Competences

  • CGUA3 : Possess computer skills relevant to the field of study.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2019-20

The main objective of this class is for the student to learn and use a set of numerical tools so that he/she can apply them for the resolution of physical problems.

- To be able to apply advanced computational methods for the numerical resolution of problems in physics.

- To know which are the appropriate numerical methods to solve different equations in physics.

- To learn how to model a physical system.

 

 

General

Code: 26244
Lecturer responsible:
CATURLA TEROL, MARIA JOSE
Credits ECTS: 6,00
Theoretical credits: 0,96
Practical credits: 1,44
Distance-base hours: 3,60

Departments involved

  • Dept: APPLIED PHYSICS
    Area: ASTRONOMIA I ASTROFÍSICA
    Theoretical credits: 0,48
    Practical credits: 0,72
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.
  • Dept: LANGUAGES AND COMPUTING SYSTEMS
    Area: LANGUAGES AND COMPUTING SYSTEMS
    Theoretical credits: 0,48
    Practical credits: 0,72

Study programmes where this course is taught