PhD in Systems and Sustainable Engineering training offer.
The training offer related to the PhD in Systems and Sustainable Engineering.
| Título de la sesión | ||
|---|---|---|
| Introducción a la Teoría de Grafos, Geometría Computacional y su relación con redes de sensores Inscribirse, salvo doctorandos/as | Alumnos, mediante Loyola Online | ||
Horario08-01-2026 de 15:00 a 17:0015-01-2026 de 15:00 a 17:00 16-01-2026 de 15:00 a 17:00 22-01-2026 de 15:00 a 17:00 23-01-2026 de 15:00 a 17:00 ProfesoresManuel Ceballos GonzálezJosé María Manzano Crespo Horas Reconocidas20.00IdiomasInglésCompetencias-Recognize the presence of mathematics in other disciplines, identify implicit mathematical objects, and translate them into a coherent mathematical description.-Calculate, plan, and efficiently carry out specific mathematical routines and processes.-Assimilate the definition of new mathematical objects, relate them to known ones, and deduce their properties and applications.-Formulate hypotheses and conceive strategies to confirm or refute them.-Understand, comprehend, and apply the concepts and methods of discrete mathematics and computational geometry to solve problems in various disciplines, such as sensor networks.Aspectos a trabajarIntroduction to Graph Theory and Trees. Eulerian and Hamiltonian Graphs. Connectivity. Planarity. Coloring. Introduction to Computational Geometry. Voronoi Diagrams and Delaunay Graphs. Application to Sensor Networks. Use of Mathematical Software.MetodologíaTheoretical classes will be taught, and examples and problems will be solved on the board. Demonstrations and simulations will be conducted using specialized software. Students will be required to pass some assessment tests scheduled throughout the courseEvaluaciónStudents must attend at least 70% of the sessions. They must pass the assessment tests scheduled throughout the course. These tests will be conducted in class at the end of each module. Students may also be required to submit a project.Requisitos previos | ||
| Introduction to state estimation for dynamical systems Inscribirse, salvo doctorandos/as | Alumnos, mediante Loyola Online | ||
Horario03-02-2026 de 15:00 a 18:0004-02-2026 de 17:00 a 20:00 ProfesoresPablo Millán GataHoras Reconocidas10.00IdiomasInglésCompetenciasBasic CB11 - Systematic understanding of a field of study and mastery of research skills and methods related to that field. Personal skills and abilities CA03 - Designing, creating, developing and undertaking original and innovative projects in their field of knowledge. Aspectos a trabajarState estimation for dynamical systems; Luenberger observer; Kalman Filter MetodologíaLectures, problema-solving, programming in Matlab/SimulinkEvaluaciónFull assistant 100%. No examsRequisitos previosBasic matrix algebra, dynamical systems (state space or transfer fucntions), Matlab/Simulink | ||
| Numerical methods Applied to Data Science and Engineering Problems Inscribirse, salvo doctorandos/as | Alumnos, mediante Loyola Online | ||
Horario09-02-2026 de 15:00 a 17:0011-02-2026 de 15:00 a 17:00 16-02-2026 de 15:00 a 17:00 18-02-2026 de 15:00 a 17:00 ProfesoresFrancisco de Paula Montero ChacónHoras Reconocidas10.00IdiomasInglésCompetenciasBasicCB11 - Systematic understanding of a field of study and mastery of research skills and methods related to that field.CB12 - Ability to conceive, design or create, implement and adopt a substantial process of research or creation.CB13 - Ability to contribute to the expansion of the frontiers of knowledge through original research.CB14 - Ability to critically analyse, assess and synthesise new and complex ideas.CB15 - Ability to communicate with the academic and scientific community and with society in general about their fields of knowledge in the modes and languages commonly used in their international scientific community.CB16 - Ability to promote, in academic and professional contexts, scientific, technological, social, artistic or cultural progress within a knowledge-based society.Personal skills and abilitiesCA01 - Coping in situations in which there is little specific information.CA02 - Finding the key questions to be answered in order to solve a complex problem.CA03 - Designing, creating, developing and undertaking original and innovative projects in their field of knowledge.CA04 - Working both in a team and autonomously in an international or multidisciplinary context.CA05 - Integrating knowledge, dealing with complexity and formulating judgements with limited information.CA06 - Critique and intellectual defence of solutions.Other skillsCE01 - Acquiring a multicultural, multidisciplinary and ethical vision in the development of new knowledge in the field of engineering.SC02 - Comparing the different methodologies and models that can be used to deal with complex situations in the field of engineering.SC03 - Ability to manage their curriculum vitae effectively for academic and scientific accreditation at any level.SC04 - Ability to look at reality from a global and supportive perspective. Thinking globally and acting locally.CE05 - Developing an entrepreneurial spirit with a willingness to make use of intellectual property and create technology-based companies based on research and development.CE06 - Acquiring the basic skills and personal abilities indicated above in the specific fields of knowledge of Automation and Control Engineering, Energy Engineering and Industrial Engineering in generalAspectos a trabajar
Metodología
EvaluaciónLevel of participation and involvement of students throughout the academic period.Requisitos previos | ||