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Results


These are the outcomes that students acquire through this program: the outcomes (common to all UPV graduates), and the general and specific outcomes of the program, here called "fundamental".

UPV generic Where is evaluated?
Social and environmental commitment
To act with ethics and professional responsibility in the face of social, environmental and economic challenges, taking democratic principles and values and the Sustainable Development Goals as a reference.
Innovation and creativity
Propose creative and innovative solutions to complex situations or problems, specific to the field of knowledge, in order to meet diverse professional and social needs.
Teamwork and leadership
Collaborate effectively in work teams, assuming responsibilities and leadership roles and contributing to collective improvement and development.
Effective communication
Communicate effectively, both orally and in writing, adapting to the characteristics of the situation and the audience.
Responsibility and decision-making
Act autonomously in learning, making informed decisions in different contexts, making judgements based on experimentation and analysis and transferring knowledge to new situations.

Fundamental
That students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study.
That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the development and defense of arguments and problem solving within their area of study.
That students have the ability to gather and interpret relevant data (usually within their area of study) to make judgments that include a reflection on relevant social, scientific or ethical issues.
That students can convey information, ideas, problems and solutions to both specialized and non-specialized audiences.
That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy.
To integrate into a work team to develop a project in robotics and industrial computing.
To understand and apply to engineering problems the physical fundamentals of mechanics, on which robotics engineering is based: transformation of reference systems, kinematics, statics, and dynamics, both of the particle and of the rigid solid, and also the physical principles of hydraulic and pneumatic actuators.
To pose and solve mathematical and statistical problems in the field of robotic systems programming and the implementation of control systems for their operation.
To know the structure and operation of computers, as well as the fundamentals of digital logic and programming and to solve problems in a low level language.
Know the fundamentals of electronics and semiconductors and apply them to solve basic circuit problems
Implement algorithms in a programming language suitable for robot programming and industrial process control applications
Knowledge of the concept of the company, institutional and legal framework, organization and bases of the economy with a broad understanding of information systems, strategic management and business communication.
To know the rules and regulations of IT in industry and the robotics industry at the national, European and international levels.
Identify the scope of application of embedded systems and use tools for the design, development and implementation of applications integrated in these systems
Design and develop real-time applications, using planning policies and generating evidence that demonstrates the correct temporal behavior according to industry standards.
Analyze, evaluate and configure the IT infrastructure of data centers with regard to energy efficiency, component recycling, reliability, security and performance and in compliance with the standards and certifications promoted in the field.
To be able to design and implement industrial subsystems based on image analysis, from the selection of cameras and acquisition devices to the communication of results, including the necessary processing phases.
Apply and implement solutions on localization and identification of objects by means of one or several cameras, 3D, for robotics applications.
Understand the basics of operating systems, know how to use system commands and develop applications using operating system services.
Know the fundamentals, protocols and standards of computer networks and specifically those used in the industrial environment, as well as design and implement applications that use network services.
Know and apply the fundamentals and techniques of computer security in an industrial environment.
Know and apply the most relevant support software and standards in the management and exchange of information in the industry.
Evaluate the logistics system of a company for the identification of improvements, its modeling and implementation of system optimization plans for industrial logistics and transportation.
Develop interactive systems and complex information presentation systems that guarantee accessibility and usability to computer systems, services and applications.
Analyze, design and program efficient high-level data structures and abstractions suitable for problem solving in robotics and industrial computing.
Identify and apply tools for industrial and robotic data storage, processing and access.
Apply artificial intelligence techniques used in industrial and service robotics for stationary and mobile applications.
Design and develop intelligent systems through the theoretical and practical mastery of the concept of agent and multi-agent systems.
To know the fundamental principles of shape recognition and machine learning techniques.
Identify cases of application of shape recognition and machine learning techniques in industrial computing or robotic systems that make use of sensory data and enable decision making in robotic systems.
Model and analyze discrete systems to design and implement software controllers and configure hardware components for industrial process control.
Model and simulate industrial processes, and design and program automatons for industrial automation.
Know and use instrumentation for the acquisition, conditioning, processing and filtering of data for the control of industrial processes.
To know techniques, materials and methodologies for 3D printing and apply them to the design of parts for industrial production.
To understand the functional structure of robots, their components, morphology and classification according to their configuration and their use in industrial and service applications.
Analyze and evaluate the automation of a workstation and the elements involved in robotic stations for their application in industrial processes.
To know the principle of kinematic modeling of mobile robots to program solutions to the problem of their control.
Apply techniques to estimate the location and control the navigation of mobile robots.
Apply kinematic and dynamic problem solving techniques for robot control.
To know the different robot programming methods and the most significant parameters to define robot movements.
Apply dynamic adaptation to variations in the environment by programming collaborative robots (cobots) based on sensors.
To plan a basic project in robotics and industrial informatics that will lead to the innovative resolution of a real problem.
Identify and formulate new business opportunities in which to apply robotics, contemplating data from their socioeconomic environment, quantifying their value and identifying interested agents.
Develop projects that include the programming of industrial systems including sensory information.
Integrate industrial instrumentation into a robotics and industrial computing project.
Develop projects using robotics-specific operating systems that integrate external devices and configurable graphical user interfaces for applications in which the robot is provided with intelligent decision making.
Performance, presentation and defense of an original exercise performed individually before a university tribunal, consisting of a project in the field of Industrial Informatics and Robotics of a professional nature in which the competences acquired in the courses are synthesized and integrated.