Training Supplements for the PhD in Mechatronics Engineering
TRAINING SUPPLEMENTS
Students entering the PhD program who require additional training will be provided with training supplements determined by the program’s academic committee based on their academic record and curriculum, up to a maximum of 30 ECTS credits. These credits will be chosen from the following compulsory subjects offered by the University of Málaga:
- Intelligent Control Systems
- Advanced Mathematical Methods for Mechatronics
- Modeling and Control of Mechatronic Systems and Robots
- Intelligent Sensors and Actuators
- Advanced Electrical Actuators
- Real-Time Systems for Mechatronics
All these subjects are currently taught in the Master’s Degree in Mechatronics Engineering.
If the student's prior master’s program does not include research competencies, they must complete at least 10 ECTS credits of specific research training, chosen from the University’s master's level courses, particularly:
- Writing and Communication of Research Publications in Engineering
- Introduction to Knowledge Transfer
These courses are also offered in the Master’s Degree in Mechatronics Engineering.
In the event that the master's program is not offered, the Academic Committee will establish appropriate training supplements from other master's subjects with similar competencies taught by the University. Doctoral students who need to complete these specific supplements must do so before the end of their first year in the PhD program, or within the first two years for part-time students.
The criteria used to determine the need for training supplements are specified in the ADMISSION REQUIREMENTS AND CRITERIA for each admission profile, as outlined in the program’s verification report.
Below is an introduction to the subjects:
Intelligent Control Systems: The objectives are to train students in control systems based on fuzzy logic and neural networks, as well as in modeling techniques using fuzzy, neuro-fuzzy, and neural control systems, and their application to the control of dynamic systems.
Advanced Mathematical Methods for Mechatronics: Objectives: Advanced optimization techniques. Solving partial differential equations, with case studies relevant to mechatronics engineering.
Modeling and Control of Mechatronic Systems and Robots: Objective: Modeling of mechatronic systems and their control strategies. This course covers direct and differential kinematic models, inverse kinematics, dynamic models, and movement control strategies in mechatronic systems.
Intelligent Sensors and Actuators: The main objective of this course is to study intelligent sensors and non-conventional actuators for mechatronics. As a case study, emphasis is placed on touch interfaces.
Advanced Electrical Actuators: The goal of this course is to study models of special electric machines as well as converters and control methods for them.
Real-Time Systems for Mechatronics: The objectives of this course are to train students in real-time mechatronic systems, with special emphasis on hard real-time embedded systems (processing units, environment access peripherals, synchronization with the environment).
Writing and Communication of Research Publications in Engineering: The objectives of this course are to train students in searching for, monitoring, and evaluating research based on quality indicators, and to provide them with the skills necessary to develop scientific texts for publications with recognized quality indicators.
Introduction to Knowledge Transfer: The main objective is to train students in knowledge transfer. The course will define the fundamental concepts of R&D and innovation, and address four key pillars of knowledge transfer: intellectual property protection, University-Business cooperation, European projects, and the creation of technology-based companies (TBCs).
Complete information on these subjects can be found at the following link:
http://www.uma.es/master-en-ingenieria-mecatronica/
