Introduction to the design of hydraulic and thermal machinery.Analysis and essay of hydraulic turbomaquinària: centrifugal bombs, turbines, aerogenerators and fans.Laws of resemblance.Cavitation.Bombs of positive displacement.Alternative engines of internal combustion, thermal turbines and compressors.Design of facilities of heat and industrial cold.Energetic efficiency.
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OBCompulsory |
6.00 |
CD |
1first semester |
Energetic systems.Policy and management of the energy.Energy and Environment.Conventional energies: Natural gas, the Electrical System, the Thermoelectric Systems, the nuclear energy.Renewable energies: aeolian, solar thermal, solar photovoltaic, biomass, hydraulic and tidal and geothermal.Technologies of High Energetic Efficiency.
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OBCompulsory |
6.00 |
CD |
2second semester |
Sensors and actuators.Measure of physical magnitudes.Conditioning of signals (cc and at).Amplification.Filtration.Conversion A/D and D/A. Transmission of signals.Acquisition and data processing.Systems of data acquisition.Errors and interferences in the systems of measure.
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OBCompulsory |
5.00 |
CD |
1first semester |
Predictiu Control: elements, models of prediction, trajectory of reference, law of control, calculation of the signal of control, algorithms of predictiu control, multivariable control.Intelligent Control: artificial neural networks, systems of fuzzy control.Feedback of State: controlabilitat and observability, location of dust, formula of Ackermann, systems of control with entry of reference, design of observers, observant of order minimum, effects of the observer.
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OBCompulsory |
4.00 |
CD |
2second semester |
Introduction to the advanced systems of manufacture; flexible manufacture, automated manufacture and inteligent manufacture.New technologies of manufacture as the manufacture of high speed, the incremental deformation of plating or the technologies of manufacture for aditivació.The integration of the design function with the manufacture.Concurrent engineering.
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OBCompulsory |
6.00 |
CD |
2second semester |
Direction of applied operations to industria it of goods and you served.Tactical decisions of production: planning of the production (at level of master plan, MRP I), control of the capacity (CRP and MRP II), management of stocks.Models of Management (JIT, TOUCH, Lean Management).Computer management applications.
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OBCompulsory |
5.00 |
CD |
2second semester |
Calculation of structures.Structural typologies.Limit states.Actions.Combination of actions.Bases of the dimensioning of structural elements.Principles of design of metallic structures and of concrete.
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OBCompulsory |
5.00 |
CD |
1first semester |
Principles, methods and technique of the transport and industrial maintenance.The transport in the industry.Logistical chain.Plant distribution.Warehouses; devices and systems of maintenance tied to the warehouse.Manipulation of merchandise in factories.Design of mechanical maintenance elements.Type of operation and of transmissions.Modelisation of dynamic systems in vehicles.Community and Spanish regulations of the transport in road.
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OBCompulsory |
4.00 |
CD |
2second semester |
The goal of this course is for students to understand the statistical foundations of data science, as well as specific techniques that are part of the body of methodologies used in data science.1. Techniques and concepts of statistical inference.2. Dimensionality reduction through projections.3. Generalised linear models.4. Non-linear modelling.5. Sampling techniques: cross validation, bootstrapping.6. Predictive model performance.
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OBCompulsory |
6.00 |
CD |
1first semester |
This subject aims to get students to understand and learn how to use the main techniques and algorithms in the two main aspects of automated learning 1.Supervised learning 1.1 Classification trees 1.2 Vector support machines 1.3 Neural Networks 1.4 Bayesian Methods 1.5 Ensemble models 1.6 Assessing/validating models 2.Unsupervised learning: 2.1 Clustering 2.2 Rules of association 2.3 Detecting anomalies 2.4 Self-organised Maps 2.5 Hidden Markov Models 2.6 Assessing/validating models
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OBCompulsory |
9.00 |
CD |
1first semester |
This course aims to introduce students to the technological tools for gathering data and how to prepare them so they can be used in data-science techniques.1.Main programming languages for data analysis 2.Data standards 3.Data sources and gathering 4.Data quality of data and cleansing
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OBCompulsory |
6.00 |
CD |
1first semester |
This subject aims to get students to discover the main methods for carrying out data-science projects as well as the complete implementation of projects with the aid of real-case studies.1.Methods for carrying out data-science projects 2.Legal and ethical aspects of data-science 3.Data life cycle, version monitoring 4.Feasibility and assessment of a data science project 5.Carrying out a data science project 6.Practical cases of data-science projects
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OBCompulsory |
6.00 |
CD |
1first semester |
This subject aims to introduce the techniques necessary for displaying data and explaining results from the application of data-science techniques.1.Displaying univariate and multivariate data.2.Visual presentation of results: storytelling, computer graphics, Edward Tufte principles.3.Dynamic and interactive displaying.4.Business analytics: reporting, Key Performance Indicators, dashboards.
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OBCompulsory |
3.00 |
CD |
1first semester |
The goal of this course is to deepen students’ understanding of machine learning by studying different advanced data science techniques and applications 1. Deep learning 2. Transfer learning 3. Reinforcement learning 4. Convolutional networks for image processing 5. Text mining. Natural language processing 6. Recommendation systems
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OBCompulsory |
9.00 |
CD |
2second semester |