Competencies and objectives

 

Course context for academic year 2025-26

Esta asignatura de primer curso del Grado en Física introduce conceptos fundamentales que los alumnos necesitarán para seguir con éxito el resto de las asignaturas del Grado. Se trata de una asignatura introductoria cuyo propósito es:

  1. Presentar las bases de la estadística: Proporcionar a los estudiantes las herramientas estadísticas necesarias para una primera aproximación al análisis de datos.
  2. Conocer el proceso de medida: Enseñar a los estudiantes a realizar mediciones precisas y evaluar los errores y la fiabilidad de estas mediciones.
  3. Traducir los fenómenos físicos observados al lenguaje matemático: Capacitar a los estudiantes para convertir observaciones experimentales en expresiones matemáticas, lo cual constituye la base de la Física como ciencia.

 

 

Learning outcomes / Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2025-26

General Competences (CG)

  • CG1 : Develop the capacity for analysis, synthesis and critical reasoning.
  • CG3 : Solve problems effectively.
  • CG4 : Show capacity for teamwork.
  • CG6 : Self-learning.

 

Specific Competences (CE)

  • CE03 : Be able to estimate ranges of magnitude in order to interpret various phenomena. To carry out the approximations required in order to reduce problems to a manageable level. Develop intuition in Physics.
  • CE05 : Ability to design experiments in the laboratory, to measure and analyze critically experimental results, to draw conclusions and to evaluate the level of uncertainty.
  • CE07 : Adquirir nuevos conceptos matemáticos.

 

UA Basic Transversal Competences

  • CGUA1 : Adquirir o poseer las habilidades básicas en TIC (Tecnologías de la Información y Comunicación) y gestionar adecuadamente la información obtenida.

 

 

 

Learning outcomes (Training objectives)

 

An introduction to physics from an experimental perspective.
Recognising and applying sound scientific practices in measurement and experimentation.
Developing an in-depth understanding of physics concepts from an experimental perspective.
Producing written scientific reports, correctly presenting experimental measurement values and analysing their margins of error.
Interpret, evaluate and synthesise physical data and information. Process and compute data in relation to physical information.
Up to the 2025–26 academic year.
Understand and be able to interpret mathematical language.
Learn to use sequence analysis.
Learn to use concepts of numerical series.
Be able to handle various types of functions with ease as a tool for solving a wide variety of problems.
Recognise and implement good scientific practices in measurement and experimentation.
Be introduced to physics from an experimental perspective.
Produce written scientific reports, correctly presenting the values of experimental measurements and analysing their margins of error.
Interpret, evaluate and synthesise data and physical information. Process and compute data in relation to physical information.
Translated with DeepL.com (free version)
  • An introduction to physics from an experimental perspective.
  • Recognising and applying sound scientific practices in measurement and experimentation.
  • Developing an in-depth understanding of physics concepts from an experimental perspective.
  • Producing written scientific reports, correctly presenting experimental measurement values and analysing their margins of error.
  • Interpret, evaluate and synthesise physical data and information. Process and compute data in relation to physical information.

Up to the 2025-26 academic year

  • Understand and be able to interpret mathematical language.
  • Learn to use sequence analysis.
  • Learn to use concepts of numerical series.
  • Be able to handle various types of functions with ease as a tool for solving a wide variety of problems.
  • Recognise and implement good scientific practices in measurement and experimentation.
  • Be introduced to physics from an experimental perspective.
  • Produce written scientific reports, correctly presenting the values of experimental measurements and analysing their margins of error.
  • Interpret, evaluate and synthesise data and physical information. Process and compute data in relation to physical information.

 

 

 

Specific objectives stated by the academic staff for academic year 2025-26

No data

 

 

General

Code: 26245
Lecturer responsible:
Sabater Piqueres, Carlos
Credits ECTS: 6,00
Theoretical credits: 0,96
Practical credits: 1,44
Distance-base hours: 3,60

Departments involved

  • Dept: Mathematics
    Area: Statistics and Operations Research
    Theoretical credits: 0,48
    Practical credits: 0,72
  • Dept: Physics
    Area: Condensed Matter Physics
    Theoretical credits: 0,48
    Practical credits: 0,72
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught