Information and communications technology in automotive industry (ICTA) |
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Code number: |
46675 |
Number of ECTS: |
6 ECTS |

Semester: |
Autumn |
Language: |
English |

Lecturer(s) and contact: · Dr. Juan Carlos Aguado Manzano ( · Dr. Ignacio de Miguel Jiménez ( |
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Learning goals: At the end of this sections, the student should be able to: · Use commercial software tools to analysis CAN messages from car devices and car applications. · Enumerate and describe the most important CAN protocol parameters of physical and upper layers. · Enumerate and describe the basic communication elements of intra-vehicular network communications under CAN protocol. · Design and program very simple pieces of code to emulate intra-vehicle communications. · Use carmakers documentation to analyze car devices and car applications. · Describe vehicle-to-infrastructure and vehicle-to-vehicle communication services |
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Contents: 1. Introduction to Vehicle Telematics. 2. Intra-Vehicular communications. CAN Bus. CANoe. 3. Programming in CAPL. 4. Intra-vehicular communications. Other standards. 5. Design of ECUs. 6. ECU diagnosis. Lab: 1. Physical layer of the CAN bus. 2. CAN analysis: IGN signals, TeleAid Info-Call and Volume Control. 3. CAN analysis: Airbag signals. 4. CAN analysis: Real car trace. 5. Sending CAN messages using CANoe. 6. CAPL Program. 7. D2B Optical Bus Analyzer. 8. MOST Optical Bus Analyzer. 9. ECU simulation using CANister. Breathalyzer design and development. 10. Datalogger. Diagnostics. |
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Prerequisites: This is an intermediate course, intended for learners with a background in computer and electrical engineering. To succeed in this course, you should have the following knowledge prerequisites: · Intermediate programming experience, preferable in C. · Familiarity with protocols, communications networks and telematic services. · Basic use of laboratory equipment, mainly Oscilloscopes. |

Wireless Telecommunications Systems (WTS) |
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Code number: |
45044 |
Number of ECTS: |
6 ECTS |

Semester: |
Spring |
Language: |
English |

Lecturer(s) and contact: · Dr. Ramón de la Rosa Steinz ( |
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Learning goals: At the end of this sections, the student should be able to: · Know the options to experiment in the field of the radio amateur operation. · Work with regulations related to the radio frequency spectrum management. · Work with specifications related to radio telecommunication systems. · Identify transmissions with spectrum analysis equipment. · Connect the basic parameters that characterise a radio frequency system. · Interpret the technology involved in the radio telecommunication systems. · Estimate the radio coverage in point-to-point systems. · Enumerate and describe the communication systems studied. · Identify the planning requirements in terms of time and resources to develop projects |
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Contents: 1. AN INTRODUCTION TO RADIO: Concept revision. Logarithmic units. The radio frequency spectrum. Radio amateur operation as a way to experiment. 2. ANTENNA SYSTEMS TECHNOLOGY: Review of characteristics and parameters defining the antennas. Antenna feeders. Antennas applied to communication systems. 3. RECEIVERS AND TRANSMITTERS: Receivers technology. Transmitters technology. Interpreting transceiver wiring diagrams. The evolution of the radio. Software defined radio (SDR). 4. RADIO BROADCASTING: Amplitude modulation (AM) radio broadcasting. Frequency modulation (FM) and FM-stereo radio broadcasting. Digital broadcasting: RDS y DAB. Modulating in DAB. OFDM. 5. RADIO LINKS AND SATELLITE COMMUNICATIONS: Introduction and satellite orbits. Parameters that influence the communication: the link budget. Types of satellites. Satellites and radio amateur operation. Related modulating schemas: FSK and PSK. Radio links. Coverage estimation with software. 6. CELLULAR TELECOMMUNICATIONS: Basic standards. Second generation (2G): GSM, GPRS and EDGE. Modulations related to 2G. MSK, GMSK. Third generation (3G) and subsequent generations. UMTS, LTE, 5G. Modulations related to 3G and subsequent generations. Spread spectrum. 7. SHORT-RANGE WIRELESS DATA COMMUNICATIONS: Bluetooth. IEEE 802.11 – ISO/IEC 8802-11 (Wi-Fi). Other technologies. |
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Prerequisites: It will be very helpful some basic knowledge about electronics to understand schemas, and ability to understand the concept of electromagnetic waves and its location in the radio frequency spectrum. |
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About the applied part of the subject, it will be helpful some basic knowledge of the laboratory of electronics instrumentation (oscilloscope, multimeter, function generator), reasonable manual skills and being resourceful to build small prototypes. |

Advanced Mathematics (AM) |
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Code number: |
75095 |
Number of ECTS: |
6 ECTS |

Semester: |
Spring |
Language: |
English |

Lecturer(s) and contact: · Dr. Eduardo Cuesta Montero ( |
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Learning goals: At the end of this sections, the student should be able to: · Learning skills and expertise on complex variable and vectorial calculus technics. · Learning skills on the basic analytical methods to solve partial differential equations. · Posing and solving problems related to the subjects of the course. · Discovering the relationship between the subjects of the course and other subjects in fact the ones related to Telecommunication and Electronic Engineering. · Using recommended bibliography to assess ideas and results. · Understanding mathematical models related to Telecommunication and Electronic Engineering. |
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Contents: 1. CURVES AND SURFACES: Parametric curves, geometric curves, and orientation. Parametric surfaces, tangent plane, and orientation. Implicit’s and Inverse’s Theorem. Implicit curves and surfaces. 2. SCALAR AND VECTOR FIELDS: Gradient, equipotential varieties, curl, divergence, and Laplacian. Conservative fileds, solenoidal fields, and potentials. 3. LINE INTEGRALS: Line integrals for scalar functions. Parametrizing with respect to arc lenght. Fields along curves. Green’s Formula. Simply connected domains, and potentials. 4. SURFACE INTEGRALS: Integral in several variables. Surface integration of scalar functions. Parametric surface area. Field flux throughout a surface. Surfaces with oriented border. Stoke’s Theorem. Gauss Theorem. 5. INTRODUCTION TO COMPLEX VARIABLE FUNCTIONS: Basic properties of complex numbers. Complex variable functions. Geometric representation of elementary functions. 6. HOLOMORPHIC FUNCTIONS: Limits and continuity. Holomorphic functions. Cauchy-Riemann’s conditions. Geometrical meaning. Elementary holomophic functions. 7. COMPLEX INTEGRATION: Definitions and properties. Relationship with the line integral. Cauchy’s Integral Formula. Taylor expansions. 8. POWER EXPANSIONS: Sequences and series of complex numbers. Convergence of sequences and series of functions. Integration term by term. Power expansions. Convergence radius. Zero order. Taylor’s expansions. Properties of functions defined by power expansions. Analytic functions. 9. LAURENT’S EXPANSIONS: Singularity classification. Development of Laurent’s expansions. 10. FOURIER EXPANSIONS: Representation of functions in terms of Fourier expansions. Convergence and applications. 11. INTRODUCTION TO PARTIAL DIFFERENTIAL EQUATIONS: Background in partial differential equations. Eigenvalue Problems and Fourier expansions. 12. SEPARATED VARIABLE METHOD FOR PARTIAL DIFFERENTIAL EQUATIONS: General problema statement. Applications to equations of physic mathematic. |
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Prerequisites: Some background on Calculus and Linear Algebra is strongly recommended. |

Numerical Algorithms (NA) |
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Code number: |
75101 |
Number of ECTS: |
6 ECTS |

Semester: |
Spring |
Language: |
English |

Lecturer(s) and contact: · Dr. Óscar Angulo Torga ( |
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Learning goals: At the end of this sections, the student should be able to: · Understand limitations of analytical methods and the need for numerical algorithms. · Understand how computers represent numbers and how these impact mathematical computations on computers. · Understand how we describe errors and approximations that result from using computers to solve mathematical equations and approximate mathematical functions. · Learn how to solve a system of linear equations numerically using direct and iterative methods. · Learn how to solve least-squares problems. · Understand how to approximate the functions using interpolating polynomials. · Learn how to solve definite integrals and initial value problems numerically. · Learn the application of the FFT . · Know how to solve complex differential problems. · Demonstrate the applications of numerical techniques to simple problems drawn from telecommunications and electronic engineering fields. |
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Contents: 1. MATLAB programming. 2. Direct methods for solving of linear systems. 3. Least squares approximation. 4. Iteration: linear and nonlinear. 5. The matrix eigenvalue problem. 6. Lagrangian interpolation. 7. Numerical integration and differentiation. 8. Trigonometric interpolation. 9. Numerical solution to ordinary differential equations. 10. Numerical solution to partial differential equations. |
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Prerequisites: Skills on Linear Algebra and Advanced Calculus. |

Introduction to business economics and administration (ECO) |
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Code number: |
75100 |
Number of ECTS: |
6 ECTS |

Semester: |
Spring |
Language: |
English |

Lecturer(s) and contact: · Dr. Guillermo Aleixandre Mendizabal ( |
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Learning goals: At the end of this sections, the student should be able to: · Apply the basic principles of the economy and the company to the telecommunications sector. · Identify the different types of companies, market structures, being able to calculate prices and quantities of equilibrium in each one of them. · Distinguish the types of costs of the companies and their sources of financing. · Interpret the economic, legal and institutional framework of the company. |
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Contents: 1. Preliminary concepts in economy. 2. The enterprise and the entrepreneur. 3. Competitive markets in the short term: demand and supply. 4. Production, costs, revenues and business benefits. 5. Firms in the perfect competition market. 6. Firms in non-competitive markets. 7. Project appraisal decisions in the company. 8. Financial statement analysis of the company and business financing. |
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Prerequisites: There are no academic preconditions to take this course. |