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Course description
  MATHEMATICS 2

Competencies and objectives

 

Course context for academic year 2015-16

Degree in Computer Engineering

 

 

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

General Competences (CG)

  • CG1 : Capacity to resolve mathematical problems arising in engineering. Ability to apply knowledge of: linear algebra, differential and integral calculus, numerical methods, numerical algorithms, statistics and optimisation.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2015-16

As general training objective is that the students acquire knowledge of the basic materials and technologies that enable learning and development of new methods and technologies, as well as to provide the versatility to adapt oneself to new situations. They must also acquire the ability to solve problems with initiative, decision making, autonomy and creativity and the ability to learn to communicate and transmit knowledge, abilities and skills of the profession of Engineer / Technician Computer. In particular, these knowledge and skills will focus on the differential and integral calculus and especially numerical methods. They must know some theorems and applications of derivatives such as Rolle theorem, graphical analysis and particularly optimization problems. They need know the concept of general rules of integration and its most common applications. They must acquire knowledge about errors in the computation, numerical methods for root finding of equations of one variable and finally the most common methods of interpolation.

ARA and Valenciano groups can provide an alternative practices using software and using other materials as long as they adhere to the contents, evaluation and objectives of the course.

 

 

General

Code: 34007
Lecturer responsible:
ZAMORA GOMEZ, ANTONIO
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

  • Dept: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Area: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Theoretical credits: 1,2
    Practical credits: 1,2
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught