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
Teaching Language
All courses are taught in English.
Semester 1: Courses at UNILIM (30 ECTS)
Prerequisites

Linear analogue circuits, Resistive and reactive circuits energy dissipated power

Transient and steadystate 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

Inputoutput impedances.

Voltagecurrent 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 highefficiency power amplifiers, oscillators and mixers

Use the vector network analyser and suitable test benches for the characterisation of nonlinear microwave components

Knowledge of methodologies for the study of nonlinear 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 nonlinear active circuits ( Si –GaAs –GaN –InP)

Nonlinear modelling techniques of microwave transistors

Architectures of wideband resistive and distributed power amplifiers

Architectures of highfrequency mixers

Architectures of nonlinear active circuits controlled by cold HEMTs

Nonlinear function analysis applied to controlled current source in transistors

Highefficiency operating classes – Currentvoltage waveforms and loadlines

Architectures of highefficiency narrowband power amplifiers

Architectures of highfrequency oscillators

Nonlinear 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 9780073373881

Pierre Muret, Fundamentals of electronics Electronic components and elementary functions – Wiley ISBN 978 1119453406

John J Shynk, Mathematical Foundations of linear circuits and systems in engineering – Wiley ISBN 978111907347S

Steve Cripps, RF Power amplifiers for wireless communications –Artech House ISBN 0890069891

Andrei Grebennikov, RF and microwave power amplifier design –Mac Graw Hill ISBN 0071444939

P Colantonio, F Giannini, E Limiti , High efficiency RF and microwave solid state power amplifiers – Wiley ISBN 9780470513002

Stephen A Mass, Non linear microwave and RF circuits – Artech House ISBN 1580534848
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
Prerequisites

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 ANSYSHFSS.
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

Nports 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 (shortcircuit, 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 frontends in the context of 5G and future telecommunications.
Suggested Bibliography

R.K. Mongia, I.J. Bahl, P Bharta and J. Hong, RF and Microwave CoupledLine Circuits, Artech House, 2007

George L. Matthaei, Microwave Filters, Impedancematching 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
Prerequisites

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. stepindex fiber, gradedindex fiber, numerical aperture, effective index, modal dispersion…)

Geometrical optics (optical rays, refractive index, Fermat principle, thin lenses, SnellDescartes 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 FabryPerot interferometers)

Free space wave propagation (beam diffraction, Huygens principle, FresnelHuygens 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 optogeometric 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; Singlemode and multimode 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 lightmatter interaction, rate equations, power equations for 3 level model, spectral behaviour, impact of the fibre geometry, fabrication of rare earth doped fibres

Erbiumdoped 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), highpower lasers at 1 and 2 µm, applications: welding, micromachining

Lasers

Principles: laser gain for 3 and 4 energy level systems, small signal gain (2level 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, Qswitched, modelocked)

Examples of allsolid 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

Freespace 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 highresolution imaging.
Practical Works

Femtosecond fiber laser

NdYAG 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 AddDrop multiplexers

Demonstration of fiber drawing (technological platform of XLIM research institute).
Guest Lecturers (indicative)
List of potential topics covered by guest lecturers.

Ultrafast and highpower lasers: extreme nonlinear optics

The thin disk laser

Coupled laser networks: long range dissipative coupling for realtime wavefront shaping and chaos synchronization with timedelayed coupling

Random lasers, chaotic cavities and complexity in multimode waveguides

New materials for photonics

Pushing the limits of largescale 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. ISBN10: 0133977226

Joseph W Goodman, Introduction to Fourier Optics, W. H. Freeman 2017. ISBN10: 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, WileyInterscience; 2 edition (March 9, 2007), ISBN13: 9780471358329.
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
Prerequisites

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, Photoemissive sensors, Thermal sensors

Lightemitting 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: 9781118458877, 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, 9781482241785 (Hardback) – Chapter 10,11,12,19

Sheila Prasad, Hermann Schumacher, Anand Gopinath, « HighSpeed Electronics and Optoelectronics: Devices and Circuits », Cambridge University Press 2009, 9780511579820, 9780521862837, Chapter 4

Giovanni Ghione« Semiconductor Devices for HighSpeed Optoelectronics », Cambridge University Press 2009, 9780511634208, 9780521763448, Chapter 45.
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
Semester 2: Courses at UNIBS (30 ECTS)
Prerequisites
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 halfwavelength dipole

Antenna arrays: antenna factor, broadside array, endfire array, traveling wave antenna, mutual coupling between wire antennas, YagiUda antenna

Microstrip and mobile communication antennas: rectangular and circular patches, feeding methods, planar invertedF antenna, slot antenna, invertedF antenna.
Suggested Bibliography

Balanis; Antenna theory: analysis and design; WileyBlackwell; ISBN: 9781118642061

Kraus, Marhefka; Antennas; McGrawHill; 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
Prerequisites
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, quasiTEM), attenuation and dispersion of general waveguides. Sparameter 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

Nports microwave networks

Impedance and admittance matrices

The scattering matrix. Generalized scattering parameters

Lossless networks. Reciprocal networks

Measurements with a vector network analyzer.

Impedance matching

Quarterwave transformer

The theory of small reflections and wideband 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
Prerequisites
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 lightmatter interaction and provide a solid background to understand the properties of stateoftheart 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 lightmatter interaction in nanostructures.
Indicative Content

Introduction: nanotechnology and photonics

Fundamentals of light and basics of lightmatter 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 metaldielectric 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 lightmatter 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
Prerequisites
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
Prerequisites
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
Prerequisites
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

Carbondots and related Cbased materials

Molecular and supramolecular materials

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

Bottomup nanofabrication of nanostructures (nanoantennas, hybrid nanocomposites, soft photoactuators) and selfassembly

Surface engineering and stimuliresponsiveness

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
Prerequisites
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 highdirectivity antennas.
Suggested Bibliography
Balanis; Antenna theory: analysis and design; WileyBlackwell; 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
Semester 3: Students in the second year (M2) will move to one of the four partner institutions.Intensification of their study around one of the four special characters in EMIMEO for the third semester
University of Limoges
Prerequisites
Basic notions in solidstate 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 lightemitting 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 photodetection.

Printable Lightemitting 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. 323324). 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). Solidstate physics for electronics. WileyISTE ISBN: 9781848210622

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

Schubert, E. F. (2018). Lightemitting diodes. E. Fred Schubert. ISBN : 9780986382666

Sum T.C., Mathews N. (2019). Halide Perovskites: Photovoltaics, Light Emitting Devices, and Beyond. John Wiley & Sons. ISBN: 9783527341115

Kao, K.C. (2004). Dielectric phenomena in solids (With Emphasis on Physical Concepts of Electronic Processes). Elsevier acad. Press. ISBN 0123965616
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
Prerequisites

Basics of nonlinear modelling of microwave transistors,

Basics of linear/nonlinear active microwave circuits,

Architectures of power amplifiers,

Highfrequency 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 highfrequency frontend 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 highfrequency frontend illustrated by payload and radar applications

Design methods of Doherty, switchingmode and envelope tracking HPAs

Advanced understanding of bandpass sampling in a receiver for the satellite groundbased station
 Advanced understanding of limitations of Software Defined Radio (quantification noise, phase jitter, nonlinear 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 tradeoffs between efficiency and linearity in payload satellites and radar systems,

statistics of complex modulated signals with variable envelope,

adaptive control of high power amplifiers, switchingmode 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 DCDC 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 MQAM modulation format, mathematical description of sampling, NyquistShannon 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 analogdigital conversion, THD, SFDR, phase jitter).

Particular case of Track Hold Amplifier (THA) RF sampler

architecture of THA and nonlinear phenomenological model of THA,

limitation of THA (bandwidth, SFDR, THD),

example of THA 1321 Inphi datasheet and its use for bandpass 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 groundbased satellite receivers.
Suggested Bibliography

Steve Cripps , RF Power amplifiers for wireless communications –Artech House, ISBN 0890069891.

Stephen A Mass , Nonlinear microwave and RF circuits – Artech House ISBN 1580534848.

Jonathan C. Jensen , Ultrahigh 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
Prerequisites

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 subsystems (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 LC networks,

design of layoutefficient 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
Prerequisites

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 nonlinearities.

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, McGrawHill.

S. Benedetto, E. Biglieri, Principles of Digital Transmission, Kluwer AcademicPlenum Publishers.
Methods of Delivery
Lessons and examples (60H)
Methods of Assessment and Weighting
Written examination. Discussion of a project.
Credit Value (ECTS): 6
Prerequisites
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: 9780471721802.

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

MixedSignal 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
Prerequisites

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 knowhow 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.

Timedomain versus frequencydomain measurements.

The decibel scales.

Measurements in the frequency domain

the bankoffilters spectrum analyzer,

FFT spectrum analyzer,

swept spectrum analyzer,

realtime bandwidth spectrum analyzers,

distortion measurements,

electronic noise measurements.

Measurements of optical quantities,

optical power measurements,

thermoelectrical power meters,

PIN photodetectors,

electronic optical power meters,

insertion loss measurements on optical devices,

the optical spectrum analyzer,

the optical timedomain 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
Prerequisites
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 nanoengineering.
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
Nanoengineering: Basic principles.

The emergence of the nanoworld: 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 nonlocality (basics),

the photon,

quantum states of the electromagnetic field (basics),

quantum coherence & photonatom 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.

lowdimensional Semiconductor Structures (basics.),

quantum wells,

nanowires and quantum dots (basics),

single electron devices and electron tunneling devices,

photonic BandGap Materials,

light propagation at the nanoscale (basics),

nanoresonators,

photon confinement (basics),

tunable photonic bandgap 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
Prerequisites
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,

electrooptical systems (stepstare and pushbroom 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 groundtracks,

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
Prerequisites
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 (nonparametric) 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, realtime, 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 eventbased systems,SpringerVerlag, 2006.

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

FeiYue 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,

RFbased sensing and diagnostics.
Suggested Bibliography

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

Wangler, T. (2008) RF linear accelerators. WileyVCH.

Brandt, D. (Ed.) (2009) CAS Beam Diagnostics. CERN2009005.

Brown, I. G. (Ed.) (2004) The Physics and Technology of Ion Sources 2nd Ed. WileyVCH.
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, antifuse 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,

systemonchip (SOC) and embedded processors: hardcores.

INTELLECTUAL PROPERTY (IP) MO0DULES

IP modules design and insystem integration for realtime 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
Prerequisites

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 handson 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, scikitlearn 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, noisereduction 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 HighFrequency Circuits and Oscillators. Wiley, 2006.

C.D. Motchenbacher, J.A. Connelly LowNoise 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 571, Agilent Technologies.

Noise Figure Measurement Accuracy – The YFactor Method, Agilent Application Note 572

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, timedomain techniques and modular microwave instrumentation. Comprehensive examples of linear and nonlinear characterization techniques of microwave devices are given along the course, including techniques for instrumentation control.
Indicative content

vector network analysis,

spectrum analyzers,

highfrequency 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 12871, Agilent Technologies.

Exploring the Architectures of VNAs, Agilent Application Note 12872.

Applying Error Correction to Network Analyzer Measurements, Agilent Application Note 12873.

Understanding VNA Calibration, Anritsu Application Note.

Application Note 12873 Spectrum Analysis Basics, Application Note 150, Agilent Technologies.

C.F. Coombs, Electronics Instrument Handbook, Mc GrawHill, 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 solidstate amplification devices, as well as analysis, design and characterization techniques for solidstate power amplifiers.
Indicative content

RF and microwave power systems,

passive components,

amplification Tubes,

solidstate 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, CERN2005003.

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 microsensors,

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 modelbased 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, HandsOn 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. EmamiNaeini , 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, lineofsight 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 multiusers. 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.

AirInterface 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 Geolocation 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 realtime 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;

Realtime 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 realtime 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 reallife 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 reallife 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%