Competencies and objectives

 

Course context for academic year 2019-20

 Mathematics are a fundamental tool for the study of experimantal sciences. Its location in first course inside the common teachings of basic formation in Biology degree allows to consolidate the knowlegde that students should have adquiared in High School, and, moreover, it gives the basic tools for the elaboration, study and simulation of different biological dinamic models.

 

 

Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2019-20

Generic Degree Course Competences

  • CG1 : Develop the capacity for analysis, synthesis and critical reasoning.
  • CG10 : Develop knowledge-based critical attitudes.
  • CG3 : Solve problems effectively.
  • CG4 : Show capacity for teamwork.
  • CG5 : Commitment to ethics and the values of equality, as well as social responsibility as a citizen and as a professional.
  • CG6 : Self-learning.
  • CG7 : Show the capacity to adapt to new situations.
  • CG9 : Show the ability to transmit information, ideas, problems and solutions to both specialist and non-specialist audiences.

 

Specific Competences:>>Theoretical

  • CE3 : Understand and apply mathematical and statistical methods for validating models from experimental data applied to Biology.

 

Specific Competences:>>Ability

  • CE30 : Interpret, evaluate, process and synthesis Biological data and information.
  • CE35 : Interpret data gathered from observation and measurement in the laboratory and the field.
  • CE37 : Ability to find, analyse, understand and write scientific and technical texts.
  • CE40 : Relate Biology to other disciplines.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

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

Understand the basic operations of matrices and determinants.

Solve systems of linear equations.

Know when an array is diagonalizable.

Know the basic rules of limits and derivatives.

Know how to calculate the integrate and its applications.

Solve Ordinary Differential Equations

 

 

General

Code: 26511
Lecturer responsible:
SEGURA GOMIS, SALVADOR
Credits ECTS: 6,00
Theoretical credits: 1,32
Practical credits: 1,08
Distance-base hours: 3,60

Departments involved

  • Dept: MATHEMATICS
    Area: MATHEMATICAL ANALYSIS
    Theoretical credits: 0,66
    Practical credits: 0,61
  • Dept: MATHEMATICS
    Area: STATISTICS AND OPERATIONS RESEARCH
    Theoretical credits: 0,66
    Practical credits: 0,47
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught