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 programa. Se trata de una asignatura introductoria cuyo propósito es:

  1. Definir los términos del lenguaje matemático: Proporcionar a los estudiantes los conceptos y terminología necesarios para comprender los razonamientos lógicos esenciales en matemáticas y física.
  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.
  • CG7 : Show the capacity to adapt to new situations.
  • CG8 : Acquire a permanent concern for quality, the environment and the prevention of occupational hazards.
  • CG9 : Show the ability to transmit information, ideas, problems and solutions to both specialist and non-specialist audiences.

 

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.
  • 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.
  • 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.
  • CE16 : Devise, analyze, validate and interpret models of real situations.

 

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)

 

Principle of induction. Introduction to real numbers. Axiom of the supremum.
Numerical sequences. Types of sequences. Limits of sequences.
Convergence of numerical series. Subseries. Rearrangement of series.
Sequences and series of functions. Power series. Taylor series. Introduction to statistics.
Combinatorics. Introduction to probability.
Discrete and continuous distributions.
Introduction to statistical inference.
Up to the 2025–26 academic year.
  • Principle of induction. Introduction to real numbers. Axiom of the supremum.
  • Numerical sequences. Types of sequences. Limits of sequences.
  • Convergence of numerical series. Subseries. Rearrangement of series.
  • Sequences and series of functions. Power series. Taylor series. Introduction to statistics.
  • Combinatorics. Introduction to probability.
  • Discrete and continuous distributions.
  • Introduction to statistical inference.

Up to the 2025–26 academic year.

  • Master the basic concepts and elements of propositional logic.
  • Understand the main types of proof and know how to apply them to simple results.
  • Understand set operations, their properties and the correspondences between sets.
  • Understand the concept of a binary relation and distinguish between equivalence and order relations, whilst also understanding the concepts related to them.
  • Interpret, evaluate and synthesise physical data and information. Process and compute data in relation to physical information.
  • Recognise and implement good scientific practices in measurement and experimentation.

  • Interpret data from observations and measurements in the laboratory.
  • Study the experimental manifestation of physics.
  • Produce written scientific reports, correctly presenting the values of experimental measurements, analysing their margins of error, and interpreting the results.

 

 

 

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

No data

 

 

General

Code: 26218
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: Mathematical Analysis
    Theoretical credits: 0,84
    Practical credits: 0,36
  • Dept: Physics
    Area: Condensed Matter Physics
    Theoretical credits: 0,12
    Practical credits: 1,08
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught