Competencies and objectives

 

Course context for academic year 2024-25

Esta asignatura se ubica en el módulo Básico y dentro de él en la materia "Estadística". El objetivo fundamental de esta asignatura es profundizar en el cálculo de probabilidades, iniciado en la asignatura de primer curso "Introducción a la Estadística" mediante el estudio de las variables y vectores aleatorios y sus posibles transformaciones, para finalizar, como enlace con la asignatura "Inferencia Estadística", con la presentación del Teorema Central del Límite. Esta asignatura, precedida por "Introducción a la Estadística" y completada con "Inferencia Estadística" servirá de base para aplicaciones estadísticas más avanzadas como "Series Temporales", "Análisis de datos I", "Análisis de datos II" y "Procesos Estocásticos".

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2024-25

Specific Competences (CE)

  • CE1 : Understand and use mathematical language. Acquire the capacity to enunciate propositions in different fields of Mathematics, to construct demonstrations and transmit the mathematical knowledge acquired.
  • CE10 : Communicate, both orally and in writing, mathematical knowledge, procedures, results and ideas.
  • CE11 : Ability to solve academic, technical, financial and social problems using mathematical methods.
  • CE2 : Understand rigorous demonstrations of certain classical theorems in different fields of Mathematics.
  • CE3 : Assimilate the definition of a new mathematical object in terms of others already known and be able to use said object in different contexts.
  • CE4 : Know how to abstract the structural properties (of mathematical objects, of observed reality and other contexts) distinguishing them from those that are purely occasional and be able to prove them with demonstrations or refute them with counter-examples, as well as identify errors of incorrect reasoning.
  • CE5 : Propose, analyse, validate and interpret models of simple real-life situations, using the most appropriate mathematical tools for the purpose.
  • CE6 : Solve mathematical problems using basic calculus skills and other techniques, planning their resolution according to the tools available and any time and resource restriction.
  • CE7 : Use computer applications for statistical analysis, numerical calculus and symbolic calculus, graphic visualisation and others to experiment in Mathematics and solve problems.
  • CE9 : Use bibliographic search tools for Mathematics.

 

Specific Generic UA Competences

  • CGUA2 : Possess computer skills relevant to the field of study.
  • CGUA3 : Acquire or possess basic Information and Communications Technology skills and correctly manage the information gathered.

 

Generic Degree Course Competences

  • CG1 : Develop the capacity for analysis, synthesis and critical reasoning.
  • CG2 : Show the capacity for effective and efficient management/direction: entrepreneurial spirit, initiative, creativity, organisation, planning, control, decision making and negotiation.
  • CG3 : Solve problems effectively.
  • CG4 : Show capacity for teamwork.
  • CG5 : Commitment to ethics, the values of equality and social responsibility as a citizen and professional.
  • CG6 : Self-learning.
  • CG7 : Show the capacity to adapt to new situations.
  • CG8 : Adquirir una preocupación permanente por la calidad y el medio ambiente, el desarrollo sostenible y la prevención de riesgos laborales.
  • CG9 : Show the ability to transmit information, ideas, problems and solutions to both specialist and non-specialist audiences.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2024-25

No data

 

 

General

Code: 25026
Lecturer responsible:
MULLOR IBAÑEZ, RUBEN
Credits ECTS: 6,00
Theoretical credits: 1,32
Practical credits: 1,08
Distance-base hours: 3,60

Departments involved

  • Dept: APPLIED PHYSICS
    Area: APPLIED PHYSICS
    Theoretical credits: 0
    Practical credits: 0
  • Dept: FOUNDATIONS OF ECONOMIC ANALYSIS
    Area: APPLIED ECONOMICS
    Theoretical credits: 0
    Practical credits: 0
  • Dept: MATHEMATICS
    Area: STATISTICS AND OPERATIONS RESEARCH
    Theoretical credits: 1,32
    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