Competencies and objectives
Course context for academic year 2025-26
The Advanced Applied Mathematics course is a basic six-credit ECTS course taught in the first semester of the second year of the Bachelor's Degree in Robotics Engineering.
Together with the first-year courses, Fundamentals of Applied Mathematics I and Fundamentals of Applied Mathematics II, it comprises the mathematics content taught in the degree program.
Learning outcomes / Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2025-26
General Competences (CG)
- CG1 : Saber resolver problemas de ingeniería aplicando conocimientos de matemáticas, física, química, informática, diseño, sistemas mecánicos, eléctricos, electrónicos y automáticos para establecer soluciones viables en el ámbito de la titulación.
Specific Competences (CE)
- CE1 : Desarrollar la capacidad del alumno para aplicar, tanto desde un punto de vista analítico como numérico, los conocimientos sobre: Álgebra Lineal, Cálculo Diferencial e Integral, Ecuaciones Diferenciales y en Derivadas Parciales así como Variable Compleja, a diferentes problemas matemáticos que se planteen en sistemas robóticos.
- CE14 : Conocer las herramientas matemáticas y aplicaciones informáticas más adecuadas para el modelado y análisis de sistemas lineales y no lineales, y ser capaz de analizar su comportamiento dinámico.
Transversal Competences
- CT1 : Capacidades informáticas e informacionales.
- CT2 : Ser capaz de comunicarse correctamente tanto de forma oral como escrita.
- CT3 : Capacity to analyse and synthesise.
- CT4 : Capacity for organisation and planning.
Learning outcomes (Training objectives)
No data
Specific objectives stated by the academic staff for academic year 2025-26
The Advanced Applied Mathematics course aims to introduce students to the basic ideas and techniques of complex variable differential calculus, functional series, conformal transformations, and statistics from a highly practical perspective, exploring their use and applications.
A sufficient knowledge of these elements will result in a better understanding of other subjects taught in the degree program and will serve as a basis for future expansion or deepening of the mathematical knowledge acquired. Also, as with any other part of mathematics, learning these concepts will contribute to the development of a scientific working method based on logical order and precision.
General
Code:
33711
Lecturer responsible:
García García, David
Credits ECTS:
6,00
Theoretical credits:
1,20
Practical credits:
1,20
Distance-base hours:
3,60
Departments involved
-
Dept:
Applied Mathematics and Aerospace Engineering
Area: Applied Mathematics
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
-
DEGREE IN ROBOTIC ENGINEERING
Course type: CORE (Year: 2)

