Program details

The Master study programme is divided into four semesters of 30 ECTS each.

The EMIMEO Consortium releases multiple degrees and recognises any teaching module attended in other institutions of the Consortium. Students will receive the diploma from each institution in which they will have spent at least 1 semester of study.

 

UNILIM Master Physique appliquée et Ingénierie physique/Master in Applied Physics and Physical Engineering

UNIBS Master in Communication Technologies and Multimedia

UPV/EHU Master in Ingeniería física (EMIMEO Masters Degree)

ASTON Master in Telecommunication Systems

Taught course units

Pre-requisites

  • Linear analogue circuits, Resistive and reactive circuits- energy -dissipated power

  • Transient and steady-state conditions

  • Low pass – high pass –band pass filters – transfer functions –Bode diagram

  • Voltage and current sources – Thevenin – Norton

  • Bipolar and field effect transistors – small signal equivalent models

  • Input-output impedances.

  • Voltage-current and power gains. Static and dynamic load lines.

Module Aims 

To provide students with an understanding of nonlinear electronics and design of active power circuits, oscillators and mixers at microwave frequencies.

Learning Outcomes 

On successful completion of this module a student will be able to:

  • Understand the basics of nonlinear modelling of microwave transistors

  • Know the main figures of merit of transistor technologies

  • Understand the nonlinear analysis applied to active microwave circuits

  • Explain and discuss the main architectures for high-efficiency power amplifiers, oscillators and mixers

  • Use the vector network analyser and suitable test benches for the characterisation of non-linear microwave components

  • Knowledge of  methodologies for the study of non-linear circuits and ADS software

  • Design linear and nonlinear circuits of RF front end with suitable criteria for power, efficiency and linearity specifications. 

Indicative Content

  • MMIC technologies for non-linear active circuits ( Si –GaAs –GaN –InP)

  • Non-linear modelling techniques of microwave transistors

  • Architectures of wideband resistive and distributed power amplifiers

  • Architectures of high-frequency mixers

  • Architectures of non-linear active circuits controlled by cold HEMTs

  • Non-linear function analysis applied to controlled current source in transistors

  • High-efficiency operating classes – Current-voltage waveforms and load-lines

  • Architectures of high-efficiency narrow-band power amplifiers

  • Architectures of high-frequency oscillators

  • Non-linear distortions of modulated signals in power amplifiers.

Practical Works

  • Measurements of linear amplifiers with optimal power gain

  • Vector network analyser measurements applied to transistor matching           

  • Output power and power added efficiency measurements of transistors

  • Linear and nonlinear transistor simulations with ADS software

  • Power amplifier design with ADS software.

Guest lecturers

  • Design requirements of power amplifiers and  microwave front ends for radio communications

  • Design requirements of power amplifiers and  microwave front ends for satellite communications

  • Design requirements of power amplifiers and  microwave front ends for Radar applications 

Suggested Bibliography

  • Albert Malvino, David Bates, Electronic principles – Mac Graw Hill ISBN  978-0-07-337388-1

  • Pierre Muret, Fundamentals of electronics Electronic components and elementary functions – Wiley ISBN  978 -1-119-45340-6

  • John J Shynk, Mathematical Foundations of linear circuits and systems in engineering  – Wiley ISBN  978-1-119-07347-S

  • Steve Cripps, RF Power amplifiers for wireless communications –Artech House ISBN  0-89006-989-1

  • Andrei Grebennikov, RF and microwave power amplifier design –Mac Graw Hill ISBN  0-07-144493-9

  • P Colantonio, F Giannini, E Limiti , High efficiency RF and microwave solid state power amplifiers – Wiley ISBN  978-0-470-51300-2

  • Stephen A Mass, Non linear microwave and RF circuits – Artech House ISBN  1-58053-484-8

Methods of delivery & learning Hours (H)

  • Part I: Lecture (18H) Tutorial (15H)

  • Part II: Lecture (18H) Tutorial (15H)

  • Lab Sessions: 24H

Methods of Assessment and Weighting

  • Exam ( lecture & tutorials)

    • Duration: 2 Hours

    • Weight: 75%

  • Exam – lab Sessions

    • Duration: 2 Hours

      Weight: 25%

Credit Units (ECTS): 9

Pre-requisites

  • Differential equation

  • telegrapher’s equations and solutions

  • Maxwell equations

  • electromagnetic boundary and interface conditions.

Module Aims

To provide students with an understanding of electromagnetic wave propagation applied to planar and volume passive components at microwave frequencies.

Learning Outcomes

On successful completion of this module a student will be able to:

  • Understand the basics of electromagnetic wave propagation in the microwave waveguides

  • Knowledge of EM fields in guiding and resonant microwave devices and knowledge of the technical tools for their design and measurement

  • Knowledge of methodologies for the design of planar and volume components at microwave frequencies

  • Knowledge of manipulation of specific software for electromagnetic simulation like ADS – Momentum and ANSYS-HFSS.

Indicative Content

  • Overall equations in waveguides

    • Maxwell Equations

    • Extraction of propagation equations

    • Interface conditions, boundary conditions

  • Properties of general solutions, dispersion diagram, guided wavelength, …

  • TE and TM wave mode: metallic rectangular and circular waveguide

  • TEM wave equivalence EM fields and current voltages

  • The solution of telegrapher’s equations in the transitional regime

  • Definition and properties of the coaxial line, microstrip and coplanar lines and stripline

  • S parameters and transmission line

  • N-ports microwave networks, Generalized scattering parameters

  • Vector Network Analyser, introduction to measurement

  • Smith chart and impedance matching
  • Passive components (L, C, R, LC) distributed and localized
  • Microwave resonator (planar, rectangular and circular cavities)

  • Conception method of microwave circuits

  • Theory of coupled lines, junction and couplers (hybrid, directional).

Practical Works

  • CAD with Momentum (Advanced Design System)

    • Microstrip elements: stub, half wavelength resonator, 2nd order filter

    • Microstrip inductance on multilayers

  • CAD with HFSS (Ansys Electromagnetics)

    • Microstrip and coplanar lines and striplines, coupled lines

    • Rectangular and circular waveguides and different loaded elements (short-circuit, dielectric slab, absorbing materials)

    • Parallelepipedal and cylindrical cavity (eigenmodes, selective excitations and coupled cavities)

    • Directional and hybrid couplers and use of CITIfile.

Guest Lecturers (indicative)

  • Synthesis and design requirements of microwave filters in the space domain  

  • New technologies for manufacturing components and microwave circuits

  • The evolution of microwave front-ends in the context of 5G and future telecommunications.

Suggested Bibliography

  • R.K. Mongia, I.J. Bahl, P Bharta and J. Hong, RF and Microwave Coupled-Line Circuits, Artech House, 2007

  • George L. Matthaei,  Microwave Filters, Impedance-matching Networks and Coupling Structures, Artech House, New edition 1980

  • Peter A. Rizzi, Microwave Engineering (Passive Circuits), Prentice Hall, 1988.

Methods of delivery & learning Hours (H)

  • Part I: Lecture (18H) Tutorial (15H)

  • Part II: Lecture (18H) Tutorial (15H)

  • Lab Sessions: 24H.

Methods of Assessment and Weighting

  • Exam (lecture & tutorials)

    • Duration: 2 Hours

    • Weight: 75%

  • Exam – lab Sessions

    • Duration: 2 Hours

    • Weight: 25%.

Credit Units (ECTS): 9

Pre-requisites

  • Basic notions of electromagnetics (Maxwell equations and propagation equations; plane and spherical waves in homogeneous dielectrics…)

  • Light propagation basics

  • Basics on optical fibers (e.g. step-index fiber, graded-index fiber, numerical aperture, effective index, modal dispersion…)

  • Geometrical optics (optical rays, refractive index, Fermat principle, thin lenses, Snell-Descartes laws…)

  • Mathematical methods for physics and engineering (e.g. integrals, complex variables…)

  • Basic notions of quantum mechanics (e.g. particle/wave duality)

  • Basic principles on interferometry (e.g. two plane waves interferometry, Michelson and Fabry-Perot interferometers)

  • Free space wave propagation (beam diffraction, Huygens principle, Fresnel-Huygens integral,…)

  • Light polarization and propagation in birefringent media.

 Module Aims

To provide students with a basic understanding of guided and Fourier optics as well as on fundamentals of lasers and optical amplifiers.

Learning Outcomes

On successful completion of this module a student will be able to:

  • Understand the main opto-geometric parameters of optical waveguides and characterise them.

  • Understand and explain the fundamental of light propagation in optical waveguides and optical fibers.

  • Understand the principle of light amplification and conceive some sample cases of optical amplification systems and laser oscillators with appropriate working point.

  • Understand light diffraction and the design of optical mounting schemes with lenses to control Gaussian Beams.
  • Establish a clear analogy with time domain signals: spatial frequencies

  • Understand and design spatial filters

  • Establish a clear connection with antennas and array of antennas illustrated in other modules of electromagnetics along with the Master programme.

 Indicative Content 

Part I: Linear propagation in optical waveguides 

  • Slab optical waveguide; definition and solution of the dispersion relation; propagation properties of guided and evanescent modes: effective index, fields

  • Optical fibre; Single-mode and multi-mode propagation; mode field approximation: Gaussian modes – Linearly polarized modes, modes orthogonality; Group velocity and group velocity dispersion in optical fibres; dispersion compensation; signal propagation with dispersion

  • Coupling losses; overlap integral; power transfer and injection efficiencies

  • Coupled modes theory; weak and strong coupling conditions; coupling coefficients; power evolution in coupled guides devices; supermodes; fiber Bragg Gratings.

Part II Laser oscillators and amplifiers

  • Rare earth doped fibre amplifiers

  • Principles: mechanisms for light-matter interaction, rate equations, power equations for 3 level model, spectral behaviour, impact of the fibre geometry, fabrication of rare earth doped fibres

  • Erbium-doped fiber amplifier for telecoms: system parameters (gain, noise figure), limitations (e.g. excited state absorption)

  • Towards power amplification: other rare earths (ytterbium, thulium, holmium, neodymium), high-power lasers at 1 and 2 µm, applications: welding, micromachining

  • Lasers

  • Principles: laser gain for 3 and 4 energy level systems, small signal gain (2-level model), gain saturation

  • Laser oscillator: principle, loss, operating point

  • Characteristics of laser emission: power conversion efficiency, longitudinal modes, transverse modes

  • Laser resonators for single transverse mode operation: Gaussian beam, stability condition

  • Regimes: continuous wave, Q-switched, mode-locked)

  • Examples of all-solid lasers (bulk crystal lasers and fibre lasers) and their applications.

Part III Fourier Optics

  • Free space beam propagation and spatial data processing

  • Spatial frequencies; spatial spectrum

  • Analogy with temporal data processing

  • Free-space propagation and Gaussian beams

  • Fourier optics and spatial filtering.

  • Modelling of multi aperture antennas, analogy with laser beam arrays

  • Antenna diagram shaping

  • Application to optical communications and high-resolution imaging.

Practical Works

  • Femtosecond fiber laser

  • Nd-YAG laser

  • Numerical Holography, strioscopy

  • Optical fibers:

    • measurements of numerical aperture, core size

    • fiber splicing, losses measurements and reflectometry

  • Optical fiber systems :

    • Fiber amplifiers

    • Digital transmission over fiber –Dispersion management
    • Characterisation of Mux/Demux and Optical Add-Drop multiplexers

  • Demonstration of fiber drawing (technological platform of XLIM research institute).

Guest Lecturers (indicative)

List of potential topics covered by guest lecturers.

  • Ultrafast and high-power lasers: extreme nonlinear optics

  • The thin disk laser

  • Coupled laser networks: long range dissipative coupling for real-time wave-front shaping and chaos synchronization with time-delayed coupling

  • Random lasers, chaotic cavities and complexity in multimode waveguides

  • New materials for photonics

  • Pushing the limits of large-scale optical instruments: VIRGO, LIGO

  • Laser Mégajoule

  • New functionalities in Integrated optics

  • Applications in biophotonics

  • Photonic metamaterials

  • Microwave photonics antennas and radars

  • Silicon photonics

  • Microwave photonics systems for airborne and space applications.

Suggested Bibliography

  • Eugene Hecht, Optics – Pearson 2016. ISBN-10: 0133977226

  • Joseph W Goodman, Introduction to Fourier Optics, W. H. Freeman 2017. ISBN-10: 1319119166

  • Luc Thevenaz et al., “Advanced Fiber Optics”, EPFL Press, Published April 4, 2011, Reference – 300 Pages, ISBN 9781439835173 – CAT# N10239

  • Liang Dong, Bryce Samson, “Fiber Lasers: Basics, Technology, and Applications”, 1st Edition, CRC Press, Published September 20, 2016, Reference – 324 Pages, ISBN 9781498725545 – CAT# K25782

  • Bahaa Saleh, “Fundamentals of Photonics”, 2nd Edition, Wiley-Interscience; 2 edition (March 9, 2007), ISBN-13: 978-0471358329.

 Methods of delivery & learning Hours (H)

  • Part I: Lecture (12H) Tutorial (8H)

  • Part II: Lecture (10H) Tutorial (10H)

  • Part III: Lecture (10H) Tutorial (10H)

  • Lab Sessions: 30H.

Methods of Assessment and Weighting

  • Exam ( lecture & tutorials)

    • Duration: 2 Hours

    • Weight: 75%.

  • Exam – lab

    • Duration: 2 Hours

    • Weight: 25%.

Credit Units (ECTS): 9

Pre-requisites

  • Basic electronics concepts: Ohm’s Law, Kirchhoff Laws, Bode Diagrams for filters

  • Basic optics: (geometric) ray optics

  • Basic chemistry: atom structure, electron distribution

Module Aims

To provide students with a basic understanding of the main optoelectronic devices such as: photosensors and semiconductor light sources.

Learning Outcomes 

  • On successful completion of this module a student will be able to:

  • Understand the basic concepts of radiometry and photometry

  • Understand, measure and analyse the characteristic parameters of a photodetector: photodiode, phototransistor

  • To implement and model a driver circuit for a photodetector

  • Understand, measure and analyse the characteristic parameters of a semiconductor light source: LEDs and LDs

  • To implement and model a driver circuit for a semiconductor light source

  • Understand the characteristics of the optocouplers and useful driving circuits.

Indicative Content & lectures

  • Radiometry and Photometry

  • Photosensors: Classification, Characteristic Parameters, Photoconductors, Photodiodes, Phototransistors, Photo-emissive sensors, Thermal sensors

  • Light-emitting Diodes: Characteristic Curves, Parameters, Drive Circuits

  • Optocouplers: Characteristic Parameters, Application Circuits

  • Semiconductor Lasers: Characteristics, Laser Diode Protection, Operational Modes, Laser Diode Driver Circuits, Laser Diode Temperature Control.

Practical Works

  • LED electrical and optical characteristics

  • Photodetector electrical and optical characteristics: LDR, PIN photodiode, phototransistors

  • Photodetector electrical and optical characteristics: solar cells, optocouplers

  • Laser diode characteristics

  • LED, LD and photodetector drivers.

Suggested Bibliography

  • Anil K. Maini, « Lasers and Optoelectronics: Fundamentals, Devices and Applications », 2013 John Wiley and Sons Ltd, ISBN: 978-1-118-45887-7, Chapter 5,9,10

  • John P. Dakin and Robert G. W. Brown, « Handbook of Optoelectronics, Second Edition: Concepts, Devices, and Techniques – Volume One », 2018 by Taylor & Francis Group, 978-1-4822-4178-5 (Hardback) – Chapter 10,11,12,19

  • Sheila Prasad, Hermann Schumacher, Anand Gopinath, « High-Speed Electronics and Optoelectronics: Devices and Circuits », Cambridge University Press 2009, 978-0-511-57982-0, 978-0-521-86283-7, Chapter 4

  • Giovanni Ghione-« Semiconductor Devices for High-Speed Optoelectronics », Cambridge University Press 2009, 978-0-511-63420-8, 978-0-521-76344-8, Chapter 4-5.

Methods of delivery & learning Hours (H)

  • Lecture (15H)

  • Lab Sessions: 15H.

Methods of Assessment and Weighting

Exam (lectures and lab activity)

    • Duration: 2 Hours

    • Weight: 100%

Credit Units (ECTS): 3

Pre-requisites

Basic knowledge of electromagnetic theory and differential calculus.

Module Aims

The course aims at teaching the fundamentals of antenna theory and design. The most common antennas for telecommunications are introduced and analyzed and practical guidelines for their design and use are given.

Learning Outcomes

On successful completion of this module a student will be able to:

  • understand the fundamentals of antenna theory,

  • design and use the most common antennas.

Indicative Content 

  • Maxwell’s equations and plane waves: integral and differential form of Maxwell’s equations, Helmholtz equation and plane waves, spherical waves, polarization of the electromagnetic field, radiation mechanism, Hertz dipole

  • Fundamental parameters of antennas: radiation pattern, field regions, directivity, gain, input impedance, effective area, Friis transmission equation, radar range equation

  • Small dipole and wire antennas: scalar and vector potentials, inhomogeneous wave equation, infinitesimal dipole, small dipole, finite length dipole, parameters of the half-wavelength dipole

  • Antenna arrays: antenna factor, broadside array, end-fire array, traveling wave antenna, mutual coupling between wire antennas, Yagi-Uda antenna

  • Microstrip and mobile communication antennas: rectangular and circular patches, feeding methods, planar inverted-F antenna, slot antenna, inverted-F antenna.

Suggested Bibliography

  • Balanis; Antenna theory: analysis and design; Wiley-Blackwell; ISBN: 9781118642061

  • Kraus, Marhefka; Antennas; McGraw-Hill; ISBN: 9780071232012

  • Someda; Electromagnetic waves; Taylor & Francis; ISBN: 9781420009545.

Methods of Delivery

Lessons and tutorials (60 Hours)

Methods of Assessment and Weighting

Mandatory written examination comprising theoretical questions and exercises on antenna analysis or design. After passing the written examination, the students can ask for an additional optional oral examination.

Credit Units (ECTS): 6

Pre-requisites

Basics of applied electromagnetism.

Learning Outcomes

Applications of microwaves (terrestrial and satellite communications, radar, remote sensing, wireless), system requirements for elements which must be analyzed and synthesized. Propagation modes (TEM, TE, TM, quasi-TEM), attenuation and dispersion of general waveguides. S-parameter matrix. Analysis of circuit components (impedance transformers, directional couplers, hybrids, circulators, filters).

Indicative Content

  • Introduction

    • Frequency bands in the electromagnetic spectrum

    • Microwaves and millimeter waves

    • Applications of microwave engineering to communication systems and sensing

    • Basic radar operation.

  • Transmission Lines

  • Waveguides

    • Modes of cylindrical structures and transmission lines

    • TEM, TE and TM modes. Parallel plate waveguide.

    • Rectangular waveguide

    • Planar waveguides (microstrip, stripline)

    • Power loss in metallic waveguides.

  • Microwave networks

    • Equivalent voltages and currents

    • N-ports microwave networks

    • Impedance and admittance matrices

    • The scattering matrix. Generalized scattering parameters

    • Lossless networks. Reciprocal networks

    • Measurements with a vector network analyzer.

  • Impedance matching

    • Quarter-wave transformer

    • The theory of small reflections and wide-band impedance matching networks

    • Binomial multisection matching transformers

    • Analysis of periodic structures.

  • Microwave resonators

    • Series and parallel resonances

    • Quality factor Q

    • Transmission line resonators

    • Rectangular waveguide cavities.

  • Microwave components

    • Series and parallel resonances

    • Quality factor Q

    • Transmission line resonators

    • Rectangular waveguide cavities.

Suggested Bibliography

  • D.M. Pozar, Microwave Engineering, Wiley, 2004

  • C.G. Someda, Electromagnetic Waves, CRC Press, 2006.

Methods of Delivery

Lessons and tutorials (60 Hours).

Methods of Assessment and Weighting

Written and oral exam.

Credit Units (ECTS): 6

Pre-requisites

Basic knowledge of electromagnetism is recommended.

Module Aims

The course is aimed at who wish to approach or broaden their knowledge of photonics and nanotechnology.

Learning Outcomes

The course will cover all the fundamental aspects of light-matter interaction and provide a solid background to understand the properties of state-of-the-art nanotechnologies. Particular attention will be given to the understanding of basic systems, metallic nanostructures, metamaterials, metasurfaces, and 2D materials and their applications. The course will also provide the basics of numerical modeling of light-matter interaction in nanostructures.

Indicative Content

  • Introduction: nanotechnology and photonics

  • Fundamentals of light and basics of light-matter interactions

    • Maxwell Equations;

    • Optical properties of materials;

    • Reflection, transmission, absorption, diffraction, scattering, spontaneous and stimulated emission;

  • Plasmonics

    • Optical Properties of metals;

    • Surface plasmon polaritons at metal-dielectric interfaces;

    • Surface plasmon polaritons of metallic thin films;

    • Excitation of Surface plasmon polaritons;

    • Localized surface plasmons;

  • Nanostructures

    • Diffraction gratings

    • Metasurfaces

    • Graphene

  • Applications

    • Refractive index sensors

    • Raman Spectroscopy and Surface Enhanced Raman Scattering

    • Photonic Crystals for sensing

  • Basics of numerical modeling of light-matter interaction in nanostructures.

Suggested Bibliography

  • Haus; Fundamentals and applications of nanophotonics; Woodhead Publishing; ISBN: 9781782424642;

  • Keiser; Biophotonics: Concepts to Applications; Springer; ISBN: 9789811009457;

  • Prasad; Introduction to Biophotonics; Wiley; ISBN: 9780471287704.

Methods of Delivery

Lessons and tutorials (30 Hours).

Methods of Assessment and Weighting

Written and oral exam.

Credit Units (ECTS): 3

 

Pre-requisites

Basic notions of electromagnetic fields.

Module Aims

The course aims at teaching the theory and applications of optical devices for telecommunications.

Learning Outcomes

On successful completion of this module a student will be able to:

  • understand the fundamentals of optical communications systems

  • understand of nonlinear optics.

Indicative Content

  • Introduction to fiber optic communication systems

  • Basics of optical fibers: loss, dispersion, and nonlinearity

  • Numerical methods: Beam propagation method

  • The nonlinear optical susceptibility

  • Nonlinear optical interactions

  • Lasers

  • Semiconductor lasers

  • Optical receivers

  • Optical amplifiers

Suggested Bibliography

  • Robert Boyd, Nonlinear Optics, 3rd Edition, Academic Press, 2008.

  • Govind Agrawal, Nonlinear Fiber Optics, 5th Edition, Academic Press, 2012.

Methods of Delivery

Lessons and tutorials (60 Hours).

Methods of Assessment and Weighting

Written and oral exam.

Credit Units (ECTS): 6

Pre-requisites

Basic notions of electromagnetic fields.

Module Aims

The course aims at teaching the theory and applications of all optical signal processing.

Learning Outcomes

On successful completion of this module a student will be able to understand the spatiotemporal dynamics of optical signals in communication systems and networks.

Indicative Content

  • Nonlinear waves in dispersive and/or diffractive media

  • Solitons

  • Modulation instability and breathers

  • Dispersive and diffractive optical shocks

  • Practical trainings

Suggested Bibliography

  • Robert Boyd, Nonlinear Optics, 3rd Edition, Academic Press, 2008.

  • Govind Agrawal, Nonlinear Fiber Optics, 5th Edition, Academic Press, 2012.

  • Miguel Onorato, Stefania Residori, Fabio Baronio, Rogue and shock waves in nonlinear dispersive media, Springer, 2016

Methods of Delivery

Lessons and tutorials (30H)

Methods of Assessment and Weighting

Written and oral exams.

Credit Units (ECTS): 3

Pre-requisites

Basic courses in chemistry and physics (electromagnetism). The experimental activity will be tailored by taking the individual background of the students into account.

Module Aims

The course aims at providing the students with useful chemical foundations that allow them to face with the world of nanostructured materials and devices, which is rapidly changing and characterised by a truly interdisciplinary nature. The lab experimental activity will lead the student to the nanofabrication and characterisation of some nanodevices, with possible applications in the fields of energy conversion and storage, sensing and biosensing, smart data storage.

Learning Outcomes

On successful completion of this module, a student will be able to understand the fundamentals of nanostructured devices and of their fabrication.

Indicative Content

  • Introduction. The chemical foundations of nanotechnology: State of the art and future challenges (2hrs)

  • Nanomaterials for (bio)photonics, diagnostics, electronics, energy conversion and storage (10 hrs)

    • Plasmonic nanoparticles and nanostructures

    • Colloidal spheres and photonic crystals

    • Quantum dots

    • SPIONs and related materials

    • Graphene and 2D materials

    • Carbon-dots and related C-based materials

    • Molecular and supramolecular materials

  • Hands on: NanoLab (18 hrs). Individual and teamwork experiments on nanostructures and plastic/paper-based nanodevices for energy conversion and advanced diagnostics, including:

    • Bottom-up nanofabrication of nanostructures (nanoantennas, hybrid nanocomposites, soft photoactuators) and self-assembly

    • Surface engineering and stimuli-responsiveness

    • Experiments of optical and electrical sensing, smart data storage and photocatalysis

Suggested Bibliography

Ozin, A. C. Arsenault, L. Cademartiri, Nanochemistry, RSC Publishing, 2009.

Methods of Delivery

Lessons and laboratory activities (30 Hours).

Methods of Assessment and Weighting

Discussion on the experimental lab activity.

Credit Units (ECTS): 3

Pre-requisites

Basic knowledge of electromagnetics.

Module Aims

By means of laboratory exercises, the course aims at introducing students to the use of numerical tools and instruments which are essential for the design and test of WLAN antennas.

Learning Outcomes

On successful completion of this module a student will be able to:

  • design and simulate basic antennas by using CST Microwave Studio

  • measure the parameters of WLAN antennas by using a Vector Network Analyzer.

Indicative Content

  • Exercise 1: design and simulation of a monopole antenna.

  • Exercise 2: design and simulation of a patch antenna.

  • Exercise 3: experimental characterization of coaxial cables and antennas by means of a Vector Network Analyzer.

  • Exercise 4: indoor and outdoor measurement of the radiation pattern of high-directivity antennas.

Suggested Bibliography

Balanis; Antenna theory: analysis and design; Wiley-Blackwell; ISBN: 9781118642061

Methods of Delivery

Laboratory exercises (30 Hours). 

Methods of Assessment and Weighting

Reports on the experimental exercises and oral exam.

Credit Units (ECTS): 3


University of Limoges

Pre-requisites

Basic notions in solid-state physics and semiconductors (structure of crystalline and amorphous materials, particle/wave duality, dispersion of electrons in a crystal, energy band structure, charge densities and distribution, continuity equations, charge transport mechanisms in crystalline solids). Basics of light/matter interactions (absorption, emission, etc).

Mathematical methods for physics and engineering (e.g. integrals, complex variables…).

Module Aims

To provide students with a basic understanding of organic and hybrid semiconductors and their applications in optoelectronics and printed electronics. To become familiar with printing technologies, their specific features and bottlenecks.

Learning Outcomes

On successful completion of this module, a student will be able to understand the general context of printed electronics.

  • Understand the main properties of organic and hybrid semiconductors and their potentialities for optoelectronics.

  • Understand the main technologies for thin film deposition, including printing technologies.

  • Understand the basic operation of photovoltaic cells and light-emitting diodes and the corresponding characterization methods.

  • Understand the role of interfacial layers in optoelectronic devices.

Indicative Content

  • Printed electronics and organic solar cells 

    • general context of printed electronics,

    • main applications,

    • physical (electronic and optical) characteristics and parameters of organic materials,

    • deposition processes,

    • application to organic photovoltaics,

    • application to photo-detection.
  • Printable Light-emitting devices based on hybrid perovskites

    • Basics of semiconductor properties (electronic and optical) for light emission physical,

    • charge carrier distribution,

    • injection mechanisms,

    • basics on hybrid perovskite (specific electronic and optical properties),

    • perovskite devices (solar cells, lasers, etc),

    • focus on perovskite LED,

    • Application to visible light communications.

Suggested Bibliography

  • Kittel, C., McEuen, P., & McEuen, P. (1996). Introduction to solid state physics (Vol. 8, pp. 323-324). New York: Wiley.

  • Sapoval, B., & Hermann, C. (2003). Physics of semiconductors. Springer Science & Business Media.

  • Moliton, A. (2010). Optoelectronics of molecules and polymers (Vol. 104). Springer.

  • Moliton, A. (2009). Solid-state physics for electronics. Wiley-ISTE ISBN: 978-1848210622

  • Krebs, F. C. (Ed.). (2010). Polymeric solar cells: materials, design, manufacture. DEStech Publications, Inc. 

  • Schubert, E. F. (2018). Light-emitting diodes. E. Fred Schubert. ISBN : 978-0986382666

  • Sum T.-C., Mathews N. (2019). Halide Perovskites: Photovoltaics, Light Emitting Devices, and Beyond. John Wiley & Sons. ISBN: 978-3527341115

  • Kao, K.C. (2004). Dielectric phenomena in solids (With Emphasis on Physical Concepts of Electronic Processes). Elsevier acad. Press. ISBN 0-12-396561-6 

Methods of Delivery

Learning Hours (H)

  • Part I: Lecture (5H) Tutorial (2.5H)

  • Part II: Lecture (5H) Tutorial (2.5H)

Methods of Assessment and Weighting

Exam ( lecture & tutorials)

  • Duration: 1.5 Hours

  • Weight: 100%

Examination period in December/January.

Resit in January and June.

Credit Units (ECTS): 3

Pre-requisites

  • Basics of nonlinear modelling of microwave transistors,

  • Basics of linear/nonlinear active microwave circuits,

  • Architectures of power amplifiers,

  • High-frequency measurements of linear/nonlinear components,

  • Basics of ADS software applied to linear circuits,

  • Basics of design methods for linear/nonlinear circuits of RF front ends,

  • Basics of sampling theory,

  • Basics of nonlinear modelling Volterra Series.

Module Aims

To provide students with an advanced insight into signal processing and adaptive linear/nonlinear microwave circuits to face high-frequency front-end requirements.

Learning Outcomes

  • Deep insight into the nonlinear modelling of thermal and trapping effects in microwave transistors to assess their impact on modulated signals

  • Advanced understanding of adaptive power amplifiers in high-frequency front-end illustrated by payload and radar applications

  • Design methods of Doherty, switching-mode and envelope tracking HPAs

  • Advanced understanding of band-pass sampling in a receiver for the satellite ground-based station

  • Advanced understanding of limitations of Software Defined Radio (quantification noise, phase jitter, non-linear effects, SFDR, THD).

 Indicative Content 

  • Nonlinear circuits

    • Specific nonlinear modelling methods of GaN HEMTs,

    • nonlinear modelling of thermal and trapping effects,

    • EVM/ACPR/NPR linearity criteria of HF modulated signals,

    • principles of linearization techniques,

    • system trade-offs between efficiency and linearity in payload satellites and radar systems,

    • statistics of complex modulated signals with variable envelope,

    • adaptive control of high power amplifiers, switching-mode power amplifiiers (F, inverse F, VMCD, CMCD),

    • Doherty technique,

    • EER Envelope Elimination and Restoration,

    • Discrete and continuous envelope tracking systems,

    • calculation of boost and buck DC-DC converters,

    • Envelope detector,

    • PWM modulation,

    • LINC and CHIREIX techniques.

  • Low noise amplifier design

    • Noise analysis for linear RF circuits (sources of noise in electronic circuits, noise power vs signal power, noise figure and equivalent noise temperature, noise figure for passive quadripole, Friss formula, noise parameters for linear quadripole, modelling noise in linear quadripole, characterization techniques, noise figure measurement),

    • design and synthesis of low noise amplifier (specifications and modelling process).

  • Digital processing systems

    • digital modulation formats,

    • signal processing (IQ formalism, complex envelope, IQ modulation and demodulation, example of M-QAM modulation format, mathematical description of sampling, Nyquist-Shannon theorem),

    • particular case of wireless systems (multiplexing techniques (FD/TDMA),

    • TDD and FDD duplexing with Downlink and Uplink, constraints on RF receivers),

    • receivers architectures, pros and cons (heterodyne vs homodyne, digital IF receiver, receiver with bandpass sampling, receiver with discrete sampling, limitation of analog-digital conversion, THD, SFDR, phase jitter).

  • Particular case of Track Hold Amplifier (THA) RF sampler

    • architecture of THA and non-linear phenomenological model of THA,

    • limitation of THA (bandwidth, SFDR, THD),

    • example of THA 1321 Inphi datasheet and its use for band-pass sampling with DDC (Digital Down Converter) processing for complex envelope extraction.

Guest Lecturers (indicative)

  • Design requirements of low noise and power amplifiers for microwave front ends dedicated to radio/satellite communications and radar systems.

  • Design requirements of Software Defined Radio for ground-based satellite receivers.

Suggested Bibliography

  • Steve Cripps , RF Power amplifiers for wireless communications –Artech House, ISBN  0-89006-989-1.

  • Stephen A Mass , Nonlinear microwave and RF circuits – Artech House ISBN  1-58053-484-8.

  • Jonathan C. Jensen , Ultra-high speed data converter building blocks in Si/SiGe HBT process, PhD thesis, 2005, University of California San Diego.

  • Richard Chi His Li, RF Circuit Design Wiley Online Library Second Edition, ISBN 20120928.

 Methods of Delivery

Learning Hours: Lecture (30H)

Methods of Assessment and Weighting

Exam (Lecture)

  • Duration: 3 Hours

  • Weight: 100%

Examination period in December/January.

Resit in January and June.

Credit Units (ECTS): 6

Pre-requisites

  • Electromagnetic theory and basic microwave components

  • measurement microwave technics.

Module Aims

To provide students with an understanding of passive components for spatial and IoT telecommunications.

Learning Outcomes

On successful completion of this module a student will be able to:

  • Understand the electromagnetic and electric theory basis for microwave component design.

  • Know the methodologies for the advanced synthesis of microwave passive components and the potential of tunability of these components.

  • Design tunable components (MEMS switch, Phase Change Material, varactors …)  for active and passive planar circuits.

Indicative Content 

  • Propagation:

    • industrial and R&D context for passive microwave circuits,

    • propagation in cylindrical metallic waveguide,

    • EM analysis and modelling of heterogeneous microwave resonators,

    • theory of coupling between microwave resonators.

    • Microwave filter synthesis,

    • EM CAD for microwave sub-systems (components, packaging),

    • Current research activities on passive microwave components including their integration.

  • Integrated Passives for RFICs and MMWICs:

    • industrial and R&D context for RFICs, Low Power RF electronics,

    • parameters and characteristics for passive circuits and matching networks on CMOS RFICs,

    • integrated L-C networks,

    • design of layout-efficient matching networks in Silicon ICs,

    • Coupling EM simulations to circuit simulations,

    • tunable capacitors for adaptative front ends components, 

    • emerging IC integrated technologies: RF MEMS, PCM switches,

    • Application example.

Guest Lecturers (indicative)

  • smallsats, CubeSats, Nano and Picosatellites constellation for new  internet operators (GAFA),

  • MEMS and Phase Change Materials for 5G communications,

  • additive technologies to manufacture microwave components.

Suggested Bibliography

  • D. M. Pozar, Microwave Engineering, 4th edition, John Wiley and Sons, 2012.

  • Peter Rizzi,  Microwave Engineering: Passive Circuits, PHI Learning, 1987.

  • R. J. Cameron, C. M. Kudsia, R.R. Mansour, Microwave Filters for Communications Systems, Fundamentals, Design and Applications, Wiley, 2018.

 Methods of Delivery

  • Part I: Lecture (10H) Tutorial (5h)

  • Part II: Lecture (10H) Tutorial (5H).

Methods of Assessment and Weighting

Exam ( lecture & tutorials)

  • Duration: 2 Hours

  • Weight: 100%

Examination period in December/January.

Resit in January and June.

Credit Units (ECTS): 6

University of Brescia

Pre-requisites

  • Fourier transform,

  • basic Concepts of Probability and Random Variables,

  • basic concepts of linear algebra.

Module Aims

The aim of this course is the analysis of the principal error control coding techniques and digital modulation techniques used in the modern communication systems (WiFi, WiMax, Digital Power Lines, Terrestrial Digital Video Broadcasting, etc.).

Learning Outcomes

On successful completion of this module a student will be able to understand the fundamentals of modulation systems and coding techniques.

Indicative Content

  • Introduction.

  • Modulation and demodulation for the AWGN channel

    • Characterization of signals and noise waveforms.

    • Modulation and demodulation for the Additive White Gaussian Noise channel (AWGN).

    • The optimal receiver for the AWGN channel.

    • Performance estimation. The Union bound. Examples.

  • Digital Modulation Systems (OFDM, CPM, DSSS)

    • Orthogonal Frequency Division Multiplexing (OFDM).

    • Transmitter and receiver.

    • Channel equalization in the frequency domain.

    • Effects of non-linearities.

    • Examples of applications of OFDM.

    • Continuos Phase Modulation techniques (CPM).

    • Full and partial respone CPM.

    • Optimal and symplified receivers.

    • Power spectrum estimation. Practical examples (GMSK, TFM, …).

    • Direct Sequence Spread Spectrum (DSSS) Modulation and Code Division Multiple Access (CDMA) techniques.

  • Block and Convolutional Linear Codes

    • Linear block codes.

    • The generation matrix and the parity check matrix. Cyclic codes. Hard and soft decision decoding. Performance evaluation. Burst error correction. Examples.

    • Convolutional codes.

    • Definition. Optimum decoding. The Viterbi algorithm. Performance evaluation. Classic concatenated codes. Examples.

  • Recent trends in channel coding

    • Turbo codes.

    • Low Density Parity Check codes. Examples.

  • Examples of modern communications systems

    • GSM, UMTS, LTE, xDSL, DPL, DAB, DVB, WiMax, WiFi, Software Radio, Cognitive Radio, MIMO Systems, UWB, RFID, Domotic Applications, Wireless communications in the Smart Cities, etc.

Suggested Bibliography

  • Simon Haykin, Communication Systems, 4th ed., Wiley, 2001.

  • J. G. Proakis, Digital Communications, McGraw-Hill.

  • S. Benedetto, E. Biglieri, Principles of Digital Transmission, Kluwer Academic-Plenum Publishers.

Methods of Delivery

Lessons and examples (60H)

Methods of Assessment and Weighting

Written examination. Discussion of a project.

Credit Value (ECTS): 6

Pre-requisites

Knowledge of digital and analog electronics fundamentals is useful.

Module Aims

Learning design of (digital) embedded systems is a fundamental necessity for a telecommunication engineer. This course provides necessary instruments to achieve that goal.

Learning Outcomes

On successful completion of this module, a student will be able to understand the fundamentals of digital systems and embedded systems programming.

Indicative Content

  • embedded systems introduction,

  • digital systems (combinatorial and sequential logic, finite state machine: HW and SW implementation). CMOS technology,

  • numerical representation. Fixed and floating point. Fractional numbers,

  • microprocessors, microcontrollers and DSPs,

  • memory devices. Cache memories,

  • embedded systems programming: assembler and C. Memory mapped I/O and Programmed I/O. Polling loop and interrupt handling,
  • local and remote model of I/O devices. Network topologies. RS232. SPI,

  • programming and debugging tools. Logic state,

  • PLD technologies and devices,

  • il VHDL – basic concepts,

  • il VHDL – FSM,

  • laboratory: the Microchip dsPIC33F and the ALtera FPGA Cyclone III with their IDEs.

Suggested Bibliography

  • Embedded Systems: A Contemporary Design Tool, J.K. Peckol, Wiley, ISBN: 978-0-471-72180-2.

  • The Scientist and Engineer’s Guide to Digital Signal Processing, S.W. Smith.

  • Mixed-Signal and DSP Design Techniques, edited by Walt Kester (Newnes, 2003).

  • Digital Logic and Microprocessor Design with VHDL, E.O. Hwang (Nelson, 2006).

Methods of Delivery

In the classroom lectures, the student will learn more about the hardware architecture aspects of GPP, ASIP and PLD, their internal building blocks, operation principles, interfacing with other digital systems etc. In the laboratory sessions, the student will learn more about the (low level) language programming of these devices, and how use them for actual implementing complex digital systems (e.g. Microchip dsPIC33F, Altera Cyclone III.). (60H)

Methods of Assessment and Weighting

Course grading is based on a written test about the course topics (accounting for 70% of the final grade) and a lab test or creative lab project reporting and discussion (accounting for 30% of the final grade).

Credit Value (ECTS): 6

Pre-requisites

  • fundamentals of measurement theory,

  • circuit theory,

  • fundamental of electronics.

Module Aims

The course presents the fundamentals of methods, techniques, and instruments used both in the installation and for the maintenance of the telecommunication apparatuses.

Learning Outcomes

Introduction to techniques and instruments for characterization, testing and monitoring of telecommunication installations. The unit provides the student with the know-how which is required to correctly select and apply the right measurements techniques as well as to use the corresponding instruments indispensable to correctly operate a modern complex telecommunication installation. The techniques required by copper and fiber channels are introduced.

Indicative Content

  • Systems for the acquisition of measurements

    • What, when and why do we measure in telecommunications.

    • The measuring chain. Analog and digital signal processing in a measuring chain.

    • Signal and systems characterization.

    • Time-domain versus frequency-domain measurements.

    • The decibel scales.

  • Measurements in the frequency domain

    • the bank-of-filters spectrum analyzer,

    • FFT spectrum analyzer,

    • swept spectrum analyzer,

    • real-time bandwidth spectrum analyzers,

    • distortion measurements,

    • electronic noise measurements.

  • Measurements of optical quantities,

    • optical power measurements,

    • thermoelectrical power meters,

    • PIN photo-detectors,

    • electronic optical power meters,

    • insertion loss measurements on optical devices,

    • the optical spectrum analyzer,

    • the optical time-domain reflectometer.

Suggested Bibliography

  • Robert A. Witte, Spectrum & Network Measurement, Noble.

  • Dennis Derickson, Fiber Optic Test and Measurement, Prentice Hall.

  • Robert A. Witte, Electronic test instruments: Analog and Digital measurements, Prentice Hall.

Methods of Delivery

The course is organized as theory lessons and laboratory sessions. (30H).

Methods of Assessment and Weighting

Oral Exam.

Credit Value (ECTS): 3

Pre-requisites

Students should be confident in working with new concepts and ideas, besides mastering “basic” techniques developed in the previous three years of their engineering curriculum.

Module Aims

The course aims at teaching the fundamentals of quantum mechanics and nano-engineering.

Learning Outcomes

On successful completion of this module a student will be able to understand the fundamentals of quantum mechanics and of its applications in electronics and telecommunications.

Indicative Content

Nano-engineering: Basic principles.

  • The emergence of the nano-world: from “classical” to “quantum” mechanics.

    • the electron,

    • discrete energy levels,

    • wave function,

    • quantum observables,

    • quantum probabilities,

    • uncertainty relations,

    • the Schrödinger equation,

    • quantum superposition principle,

    • entanglement and non-locality (basics),

    • the photon,

    • quantum states of the electromagnetic field (basics),

    • quantum coherence & photon-atom interactions (basics),

    • quantum interference,

    • the spin,

    • the electron orbital & intrinsic (spin) angular momentum,

    • the proton spin,

    • manipulating the spin (basics),

 

  • Some Applications: Nanoelectronics, Spintronics and Nanophotonics.

    • low-dimensional Semiconductor Structures (basics.),

    • quantum wells,

    • nano-wires and quantum dots (basics),

    • single electron devices and electron tunneling devices,

    • photonic Band-Gap Materials,

    • light propagation at the nanoscale (basics),

    • nano-resonators,

    • photon confinement (basics),

    • tunable photonic band-gap mechanisms (basics),

    • taming the “quantum” to process information: “spin qubits” and “flying quibits”.

Suggested Bibliography

University Physics [Volume II Paperback] by Philip R. Kesten and David L. Tauck.

Methods of Delivery

Lectures, seminars and class discussion. (60H)

Methods of Assessment and Weighting

Written and/or oral examinations.

Credit Value (ECTS): 6

Pre-requisites

Basic knowledge of optics and electromagnetics.

Module Aims

The course aims at teaching the physical fundamentals of optical and microwave remote sensing systems.

Learning Outcomes

On successful completion of this module a student will be able to understand the fundamentals of visible/NIR and microwave remote sensing tools.

Indicative Content

  • Radiometric quantities and thermal radiation:

    • regions of the electromagnetic spectrum,

    • diffraction,

    • radiometric quantities (radiance, irradiance, radiant exitance),

    • black body radiation, solar radiation,

    • interaction of electromagnetic radiation with matter and atmosphere.

  • Visible and near infrared (NIR) remote sensing:

    • aerial photographic systems and their resolution,

    • scale of the formed image,

    • electro-optical systems (step-stare and push-broom imaging),

    • laser profiling.

  • Microwave remote sensing:

    • thermal noise,

    • radiometers and their applications,

    • radars and radar altimeters.

  • Platforms for remote sensing:

    • gravitational force and satellites,

    • orbits and ground-tracks,

    • geostationary and geosynchronous orbits.

Suggested Bibliography

Rees; Physical principles of remote sensing; Cambridge University Press; ISBN: 9781107004733.

Methods of Delivery

Lessons and tutorials (30H)

Methods of Assessment and Weighting

Mandatory written examination comprising theoretical questions and exercises. After passing the written examination, the students can ask for an additional optional oral examination.

 

Credit Value (ECTS):3

Pre-requisites

No prerequisite, it is, however, preferable to have passed an exam of Digital Image Processing.

Module Aims

Students with a background in image processing will have the opportunity to deal with new types of visual data (multi- and hyperspectral data and 3D scanning datasets) and to learn, other than technologies which are specific for the remote sensing domain, also topics of current and more general relevance such as techniques for unsupervised and supervised classification of images or handling and processing of 3D data such as point clouds. Students with background and interests related to the elective application domains (environmental monitoring, terrain analysis…) will find accessible content and opportunity to enrich technical competence and awareness of the use of modern technologies for the analysis of data and images acquired by remote sensing equipment.

Learning Outcomes

This module introduces to a modern technological framework for processing and analysis of visual data from remotely sensed digital data.

Addressed topics include radiometric correction, geometric correction, atmospheric and ground effects, multispectral transforms, with a special focus of the course on machine learning and deep learning solutions for the classification and interpretation of multicomponent and hyperspectral image interpretation. Interdisciplinary applications in earth resource quantification and application of the acquired concepts to other imaging domains (e.g. biomedical).

Indicative Content

  • course Introduction,

  • image data error sources and correction,

  • sources of Radiometric Distortion and their Correction,

  • sources of Geometric Distortion and their Correction,

  • remote sensing image registration.

  • Multispectral Transforms for Image Data:

    • the principal components transform

    • other multispectral transformations.

  • Machine Learning:

    • the interpretation of remotely sensed images,

    • human assisted and machine learning approaches,

    • statistical (parametric) supervised image classification,

    • geometric (non-parametric) supervised image classification,

    • clustering and unsupervised classification,

    • introduction to Deep Learning and Convolutional Neural Networks for multicomponent image analysis.

  • Hyperspectral image analysis and interpretation. Laboratory of remote sensing 3D image acquisition and analysis.

Suggested Bibliography

  • Remote Sensing Digital Image Analysis: An Introduction, John A. Richards Springer, 4th or 5th edition (2013).

  • Image Analysis, Classification, and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL, Morton J. Canty, CRC Press, 2nd edition (2009)

  • Essential Image Processing and GIS for Remote Sensing, Jian Guo Liu, Philippa Mason, Wiley, 1st edition (2009).

Methods of Delivery

Lectures, laboratory exercises, visits to production companies, practical assignment to be done independently. (60H)

Methods of Assessment and Weighting

Written exam, facultative oral exam and practical assignment assessment.

Credit Value (ECTS): 6

University of the Basque Country

Learning Outcomes

Control engineering covers the analysis and change of the dynamics of different kind of systems. In this course, different control techniques are described, going from simple to complex systems, including the control of distributed systems. So, the course gives a big picture of control field, including concepts as feedback control, systems stabilization, systems monitoring, network based control. The application examples proposed are oriented to RF systems. The monitoring and control of distributed systems is working using an open source tool, the EPICS control systems, which is extensively used in large scientific facilities.

Indicative content

  • introduction to feedback control systems,

  • advanced control in RF applications: Stability and linearization of power amplifiers; LLRF control systems,

  • distributed control systems: Main characteristics of distributed systems, architectures for DCS systems, real-time, monitoring and supervision systems, SCADA,

  • introduction to EPICS: Main characteristics of EPICS, distributed control system oriented to large scientific and industrial facilities: IOC controller, Channel Access and Database. Application Examples.

Suggested Bibliography

  • Gero Mühl, Ludger Fiege, Peter Pietzuch, Distributed event-based systems,Springer-Verlag, 2006.

  • Andrew S. Tanenbaum, Maarten van Steen, Distributed systems: principles and paradigms, Pearson Prentice Hall, 2007. 

  •  Fei-Yue Wang, Derong Liu , Networked Control Systems: Theory and Applications, Springer, 2008. 

  • Marty Kraimer et al, EPICS Application Developer’s Guide. 

  • Jeffrey O. Hill, Ralph Lange , EPICS R3.14 Channel Access Reference Manual. 

Methods of Delivery

  • Lectures (H): 18
  • Practical Works (H): 12

Methods of Assessment and Weighting

Classroom activities: 30%

Laboratory activities and reports: 70%

Credit Value (ECTS): 3

Learning Outcomes

To understand the fundamentals of instrumentation and control systems as applied in RF/microwave scientific and industrial facilities.

Indicative content

  • introduction to RF/microwave industrial and scientific facilities,

  • case study: Microwave ion sources fundamentals,

  • RF particle accelerators instrumentation and control,

  • RF-based sensing and diagnostics.

Suggested Bibliography

  • Wilson, E. (2001) An introduction to particle accelerators. Oxford University Press.

  • Wangler, T. (2008) RF linear accelerators. Wiley-VCH.

  • Brandt, D. (Ed.) (2009) CAS Beam Diagnostics. CERN-2009-005.

  • Brown, I. G. (Ed.) (2004) The Physics and Technology of Ion Sources 2nd Ed. Wiley-VCH.

Methods of Delivery

  • Lectures (H): 22

  • Tutorials (H): 4

  • Practical Works (H): 4

Credit Value (ECTS): 3

Learning Outcomes

To present methods and tools for digital system design using current programmable logic technology (CPLD and FPGA devices), and to develop application specific systems for digital signal processing.

Indicative content

  • PROGRAMMABLE LOGIC: Internal architecture of current CPLD and FPGA devices. Programming Technologies: floating gate transistors, SRAM cells, anti-fuse elements, etc.

  • VHDL HARDWARE DESCRIPTION LANGUAGE

    • An introduction to hardware description languages: VHDL and Verilog.

    • VHDL for synthesis: concurrent and sequential sentences. Components and systems.

  •  CAD DEVELOPMENT TOOLS

    • system description, simulation, synthesis, implementation, and device configuration.

    • Development of practical applications.

  • HARDWARE/SOFTWARE (HW/SW) SYSTEM DESIGN

    • heterogeneous HW/SW architectures,

    • system-on-chip (SOC) and embedded processors: hard-cores.

  • INTELLECTUAL PROPERTY (IP) MO0DULES

    • IP modules design and in-system integration for real-time applications,

    • development of a case study.

Methods of Delivery

  • Lectures (H): 10

  • Tutorials(H): 5

  • Practical Works (H): 15

Credit Value (ECTS): 3

Learning Outcomes

Introduction to problem statement and design of experiments, project definition and funding and, finally, basics of intellectual property issues.

Indicative content

  • problem statement and Design of Experiments,

  • project definition and funding,

  • intellectual property,

Suggested Bibliography

  • Douglas C. Montgomery, “Design and Analysis of Experiments”, Wiley.

  • Mario Biagioli, Peter Galison, “Scientific Authorship: Credit and Intellectual Property in Science “, Taylor & Francis.

Methods of Delivery

  • Lectures (H): 18

  • Practical Works (H): 12

Methods of Assessment and Weighting

  • Classroom activities: 50%

  • Practice work and reports: 50%

Credit Value (ECTS): 3

Pre-requisites

  • some programming skills,

  • basics of probability and statistics,

  • basics of linear algebra and calculus.

Learning Outcomes

This short course (3 ECTS) aims to give the students a meaningful introduction and hands-on experience of what data science is, to teach them how to continue to learn data science, and to give them the desire and skills needed to do so. The provided materials will perform as an index. For each topic, the aim is to give a cursory overview and a simple demonstration of what the topic under investigation is, and guide the students to bigger and better resources to really dive into it.

Indicative content

  • overview,

  • computing with Python,

  • data collection, transformation, exploration and visualization,

  • machine learning for data modeling.

Suggested Bibliography

Data Science in Python

  • Davy Cielen, Arno D. B. Meysman, Mohamed Ali. « Introducing Data Science. Big data, machine learning and more using Python tools ». Manning, 2016.

  • Wes McKinney. « Python for Data Analysis. Data Wrangling with Pandas, NumPy, and IPython (2nd Edition) ». O’Reilly, 2017.

  • J. Van der Plas. « Python Data Science Handbook: Essential tools for working with data ». O’Reilly, 2016.

  • Cathy O’Neil, Rachel Schutt. « Doing Data Science ». O’Reilly, 2014.

  • Joel Grus. « Data Science from Scratch ». O’Reilly, 2015.

  • Ani Adhikari, John DeNero (with contributions by David Wagner and Henry Milner). « Computational and Inferential Thinking ». Textbook for the Foundations of Data Science class at UC Berkeley: https://www.inferentialthinking.com/chapters/intro

  • Sam Lau, Deb Nolan, Joey Gonzalez. « Principles and Techniques of Data Science ». Textbook for Data 100, the Principles and Techniques of Data Science course at UC Berkeley: https://www.textbook.ds100.org/.

Machine Learning

  • C.M. Bishop. « Pattern Recognition and Machine Learning ». Springer, 2006.

  • K.P. Murphy. « Machine Learning. A Probabilistic Perspective ». The MIT Press, 2012.

  • I. Goodfellow, Y. Bengio, A. Courville. « Deep Learning ». The MIT Press, 2016.

  • S. Raschka, V. Mirjalili. « Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow (Second Edition) ». Packt Publishing, 2017.

  • F. Chollet. « Deep Learning with Python ». Manning Publications, 2018.

Data Mining

  • Jure Leskovec, Anand Rajaraman, and Jeff Ullman. « Mining of Massive Datasets ». Cambridge University Press, 2012.

  • Jiawei Han, Micheline Kamber, Jian Pei. « Data Mining: Concepts and Techniques (Third Edition) ». Morgan Kaufmann Publishers, 2012.

  • M.J. Zaki, W. Meira. « Data Mining and Analysis: Fundamental Concepts and Algorithms ». Cambridge University Press, 2014.

Methods of Delivery

  • Lectures (H): 18

  • Practical Works (H): 12

Methods of Assessment and Weighting

  • 3 homework assignments: 60%

  • final Machine Learning project: 40%

Credit Value (ECTS): 3

Learning Outcomes

To understand the basics of electronic noise and interference and its harmful effects in RF and microwave circuits and systems. The topics covered include sources of noise, noise in linear and nonlinear circuits, figures of merit commonly employed for noise characterization and associated measurement techniques, noise-reduction techniques and an introduction to electromagnetic interferences.

Indicative content

  • electronic noise,

  • AM and PM noise,

  • noise figure and noise parameters,

  • electronic noise in instrumentation,

  • interferences.

Suggested Bibliography

  • B. Schiek, I. Rolfes, H.J. Siweris. Noise in High-Frequency Circuits and Oscillators. Wiley, 2006.

  • C.D. Motchenbacher, J.A. Connelly Low-Noise electronic System Design. Wiley, 1993.

  • V. Teppati, A. Ferrero, M. Sayed, Modern RF and Microwave Measurement Techniques, Cambridge University Press, 2013

  • Fundamentals of RF and Microwave Noise Figure Measurements, AN 57-1, Agilent Technologies.

  • Noise Figure Measurement Accuracy – The Y-Factor Method, Agilent Application Note 57-2

  • Clayton R. Paul. Introduction to Electromagnetic Compatibility, Ed. John Wiley & Sons, 2nd edition, New Jersey, 2006.

  • Reynaldo Pérez. Handbook of Electromagnetic Compatibility, Ed. Academic Press, 1995

  • P.A. Chatterton and M.A. Houlden. EMC: Electromagnetic theory to Practical design, , John Wiley & Sons, 1992.

Method of delivery

  • Lectures (H): 21

  • Practical Works (H): 9

Credit Value (ECTS): 3

Learning Outcomes

To understand the basics of RF and microwave measurement techniques and systems. The topics covered include network and spectrum analysis, time-domain techniques and modular microwave instrumentation. Comprehensive examples of linear and non-linear characterization techniques of microwave devices are given along the course, including techniques for instrumentation control.

Indicative content

  • vector network analysis,

  • spectrum analyzers,

  • high-frequency time domain characterization techniques,

  • modular microwave instrumentation.

Suggested Bibliography

  •  R.J. Collier and A.D. Skinner (Ed.), Microwave Measurements, IET, 2007, London.

  • N. Borges, D. Schereurs, Microwave and Wireless Measurement Techniques, Cambridge University Press, 2013.

  • V. Teppati, A. Ferrero, M. Sayed, Modern RF and Microwave Measurement Techniques, Cambridge University Press, 2013.

  • Understanding the Fundamental Principles of Vector Network Analysis, AN 1287-1, Agilent Technologies.

  • Exploring the Architectures of VNAs, Agilent Application Note 1287-2.

  • Applying Error Correction to Network Analyzer Measurements, Agilent Application Note 1287-3.

  • Understanding VNA Calibration, Anritsu Application Note.

  • Application Note 1287-3- Spectrum Analysis Basics, Application Note 150, Agilent Technologies.

  • C.F. Coombs, Electronics Instrument Handbook, Mc Graw-Hill, 1999.

Methods of Delivery

  • Lectures (H): 15

  • Practical Works (H): 15

Credit Value (ECTS): 3

Learning Outcomes

To understand the basics of electronic devices, circuits and systems for power applications in RF and microwaves. The topics covered include architecture of RF and microwave power transceivers, passive components employed to handling of power signals, tube and solid-state amplification devices, as well as analysis, design and characterization techniques for solid-state power amplifiers.

Indicative content

  • RF and microwave power systems,

  • passive components,

  • amplification Tubes,

  • solid-state power amplifiers.

Suggested Bibliography

  • R. E. Collin. Foundations for Microwave Engineering. IEEE Press, 2001.

  • J. C. Whitaker. The RF Transmission Systems Handbook. CRC Press, 2002.

  • I. A. Glover et al. Microwave devices, circuits and subsystems. Wiley, 2005.

  • John L. B. Walker. Handbook of RF and Microwave Power Amplifiers. Cambridge University Press., 2012.

  • Radio Frequency Engineering. CERN Accelerator School, CERN-2005-003.

  • V. Teppati, A. Ferrero, M. Sayed, Modern RF and Microwave Measurement Techniques, Cambridge University Press, RF and Microwave Engineering Series, 2013.

  • J. Byrd et al. Microwave Measurements Laboratory for Accelerators. USPAS, June 2003.

Methods of Delivery

  • Lectures (H): 20

  • Practical Works (H): 10

Credit Value (ECTS): 3

Learning Outcomes

Introduction to the science and technology of sensors and sensors as part of measurement systems. The emphasis is on sensor physical principles and phenomena, measuring systems, sensor technologies, and applications.

Indicative content

  • physical principles of sensors: Resistive sensors, inductive and capacitive sensors, piezoelectric sensors, optical sensors, sensors based on semiconductors, magnetic sensors, etc.

  • scaling laws for micro-sensors,

  • wireless Sensors,

  • sensor Networks and Internet of Things (IoT).

Suggested Bibliography

  • J. Fraden, Handbook of Modern Sensors: Physics, Designs, and Applications. Springer 2010.

  • G. C. M. Meijer, Smart Sensor Systems. Wiley 2008.

  • W. Dargie, C. Poellabauer.  Fundamentals of Wireless Sensor Networks. Theory and Practice. Editorial Willey. 2010.

Methods of Delivery

  • Lectures (H): 18

  • Practical Works (H): 12

Methods of Assessment and Weighting

  • Classroom activities: 50%

  • Practice work and reports: 50%

Credit Value (ECTS): 3

Learning Outcomes

Software tools are today a key element for the analysis, simulation and design of any kind of systems, including RF and microwave or optics systems. In this course, the Matlab/Simulink and LabVIEW platforms are introduced. Matlab/Simulink are valid for the design and simulation of systems and for the analysis of obtained data. Indeed they include several specialized libraries/toolboxes that allow to speed up the process. On the other hand, LabVIEW platform is a very valuable tool for rapid prototyping, test and experimental validations of systems. It uses a graphical programming language that is tightly connected to the hardware. This allows fast experimental developments.

Indicative content

  • introduction to the model-based design. Case study: simulation and analysis of an ECR ion source system, using Matlab/Simulink,

  • virtual instruments. Test, monitoring and control using LabVIEW. Rapid prototyping using virtual instruments,

  • application examples. Examples of analysis and design using Matlab/Simulink. Examples of experimental test and monitoring systems using LabVIEW.

Suggested Bibliography

  • K. J. Aström, R. M. Murray, Feedback Systems: An Introduction for Scientists and Engineers, 2009.

  • J. Essick, Hands-On Introduction to LabVIEW for Scientists and Engineers, Oxford Univ. Press, 2013.

  • Mathworks, Matlab Primer, http://www.mathworks.com/help/releases/R2014b/pdf_doc/matlab/getstart.pdf. 

  • G. F. Franklin, J. D. Powell, A. Emami-Naeini , Feedback Control of Dynamic Systems , Pearson, 2013. 

  • National Instruments, LabVIEW, Control Design User Manual, http://www.ni.com/pdf/ manuals/371057f.pdf 
Web links of interest: 
- Matlab/Simulnk, http://www.mathworks.com – LabVIEW, http://www.ni.com. 

Methods of Delivery

  • Lectures (H): 15

  • Practical Works (H): 15

Mehods of Assessment and Weighting

  • Classroom activities: 30%

  • Laboratory activities and reports: 70%

Credit Value (ECTS): 3

Aston University

Module Aims

The aim of the module is to provide a detailed overview of state of the art optical communications systems, components and devices. The main focuses is on high speed optical fibre communications but free space optical comms is also included.

After covering the key concepts and background, advanced topics and current research and development areas in optical communication are covered.

The regulations and risk assessments required for the safe use of lasers in comms systems are also covered.

Practical lab work is used to provide experience using optical fibre devices, components and test and measurement equipment.

Module Learning Outcomes

On successful completion of this module a student will have demonstrated knowledge of the following items:

  • advanced concepts used in modern optical communications,

  • the design of optical communications systems.

On successful completion of this module a student will have demonstrated the ability to:

  • Analyse complex multidisciplinary problems associated with optical communication systems and identify realistic and systematic approaches to the solution.

  • Conduct measurements of optical components and systems using appropriate techniques and equipment and formally report the results.

  • Conduct a laser risk assessment of an optical communications system.

Module Content

  • introduction to Opt Communications,

  • free Space Communications,

  • optical fibres and waveguiding,

  • loss in optical fibres,

  • optical amplifiers,

  • dispersive effects and dispersion management,

  • optical transmitters and receivers,

  • optical data modulation,

  • optical signal multiplexing,

  • nonlinear effects,

  • coherent detection and coherent systems,

  • laser safety regulations and risk assessment.

Methods of Delivery (Learning Hours)

  • Lecture: 24

  • Tutorial: 3

  • Lab Sessions: 9

  • Independent Study: 114

  • Total Learning Hours: 150

Methods of Assessment and Weighting

  • Exam: Closed book. 50%

  • Coursework: Individual assignment: 50%

ECTS Credits: 3

 
 
 

Module Aims

To enable an extension of knowledge in fundamental data communications to radio communications and networks widely adopted in modern telecommunications systems. To provide understanding of radio wave utilisation, channel loss properties, mobile communication technologies and network protocol architecture applied to practical wireless systems.

Learning Outcomes

On successful completion of this module a student will be able to:

  • Explain and discuss technologies used in the physical layer of modern radio communication systems and in wireless broadband networks.

  • Understand how to build a reliable and efficient radio communication link under channel constraints, and the limitation on achievable system performance.

  • Collect and analyse data through measurements and wireless site survey.

  • Solve problems presented in analytical and practical tasks.

Module Content

  • Overview: Briefly introduce the evolution of modern telecommunications technologies, topics that highlight the significance of radio communications and networks and their roles in supplying the needs of modern telecommunications.

  • Antennas and Propagation: Examine the types and functions of antennas and propagation models, including antenna gain, path loss, propagation mechanisms, line-of-sight and indoor data transmission, noise and multipath fading.

  • Mobile Communications Technologies: Explore fundamental telecommunications technologies used for wireless mobile environments, covering modulation, equalization, channel coding, diversity (MIMO) and spread spectrum techniques (frequency hopping and CDMA).

  • Communication Networks: Develop an insight into a communication network that supports data transmission for multi-users. Define the protocol architecture that explains how vertical and horizontal communications between protocol layers take place in a network, and how the protocols are implemented. Study some protocol standards such as OSI and TCP/IP and principles of traffic theory in wireless networks.

  • Radio Communications Systems: Introduce practical radio communications systems such as satellite and mobile communications systems.

Methods of Delivery (Learning Hours)

  • Lecture: 21

  • Tutorial: 6

  • Lab Session: 9

  • Oral Presentation: 6

  • Seminar: 6

  • Independent Study:102

Methods of Assessment and Weighting

  • Exam: Closed book. 75%

  • Lab report: Individual report+oral team presentation: 25%

ECTS Credits: 3.75 

Module Aims

To provide students with the knowledge of the current state of wireless data networks, so that a framework for understanding future advances in wireless technologies and services for mobile networks can be built.

Module Learning Outcomes

On successful completion of this module a student will be able to:

  • Explain and discuss technologies for voice and data applications in wireless mobile networks.

  • Understand how to ensure efficient and robust data exchange across different layers of a network.

  • Collect and analyse data through measurements.

  • Solve problems presented in practical tasks through completing a mini project in coursework.

Module Content

  • Overview: Introduction to different types of wireless networks. Summary of important standards and organisations. Structure of the module.

  • Air-Interface Design: Characteristics of the wireless medium. Physical layer techniques for wireless networks. Wireless medium access techniques.

  • Wireless Network Operation: Network planning. Cell fundamentals. Mobility management. Radio resources and power management. Security in wireless networks.

  • Wireless WANs: GSM and TDMA technology. Mechanisms to support a mobile environment. CDMA technology. Mobile data networks. Mobile application protocols.

  • Local Broadband and Ad Hoc Networks: Wireless LANs. Wireless home networking. Wireless ATM and HIPERLAN. Ad hoc networking and WPAN. Wireless Geo-location systems.

Methods of Delivery (Learning Hours)

  • Lecture: 23

  • Tutorial: 10

  • Seminar: 12

  • Independent Study:105

Methods of Assessment and Weighting

  • Exam: Closed book. 75%

  • Coursework: Individual assignment: 25%

ECTS Credits: 3 

Module Aims

  • To provide the student with specialised and detailed architecture and technologies relating to realtime communication networks.

  • To present the student with specialised and detailed architecture and technologies relating to quality of service concepts.

  • To introduce the student to the specific quality of service (QoS) requirements and provisioning for realtime and streamed multimedia content.

Learning Outcomes

  • Learn the theory and principles of telecommunication systems and the latest technology advances.

  • Apply network planning and resource management techniques to provide QoS for real-time applications.

  • Analyse and solve engineering problems related to the telecommunication system and QoS provisioning.

Module Content

  • Telecommunication network and systems: Network structures; national and international networks; router and switching technologies; software defined networks and OpenFlow; Signaling network;

  • Real-time communication and QoS: Multimedia compression and processing; QoS concepts; QoS evaluation and control approaches; IP Network QoS mechanisms and protocols; QoS requirements and support for realtime multimedia content; Selected recent technology advances on real-time networking and applications.

Methods of Delivery (Learning Hours)

  • Lecture: 22

  • Scheduled supervision: 40

  • Workshop: 24

  • Independent Study:64

Methods of Assessment and Weighting

  • Exam: Closed book. 75%

  • Coursework: Individual assignment: 25%

ECTS Credits: 3.75 

Module Aims

To explore the theory of project management and its application to real-life situations. The tools and ideas will be explained and the advantages and disadvantages will be discussed. The theory will be considered through the study of real-life situations, short case studies and a short project to be performed in small groups. Overall the content will have both a theoretical construct and a high practical application targeting the Engineering Manager.

Learning Outcomes

At the end of the module the student will be able to:

  • Apply the theory underpinning engineering project management and its application in organisations.

  • Critically reflect upon both good and bad practice, analyse it and consider how to develop good practice and then apply it to specific scenarios, especially considering teams, leadership, decision making and project control.

  • Apply the skill set of an effective engineering project manager to practice.

Indicative Module Content

Key themes include; projects, leadership, managing complexity and conflict, organisational project management systems and finally, global and future issues.

Methods of Delivery (Learning Hours)

  • Lecture: 35

  • Tutorial: 10

  • Formative assessment: 15

  • Independent Study: 90

Methods of Assessment and Weighting

  • Exam: 50%

  • Assignment 1.500 words: Individual assignment: 50%

ECTS Credits: 3.75