The Master study programme is divided into four semesters of 30 ECTS each.
The EMIMEP Consortium releases joint and multiple degrees and recognises any teaching module attended in other institutions of the Consortium. Students will receive a joint/Multiple 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) 
FSUJena  Master of Science in Photonics – M.Sc. Photonics 
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

PW1 Scalar Network Analysis to Measure Power Characteristics of a FET

PW2 Vector Network Analysis For S parameter measurements and FET linear matching

PW3 Measurement and Simulation of I/V Characteristics of FETs. [S] Simulation of FETs

PW4 Simulation of a linear amplifier @ 2GHz using Keysight ADS and based on lumped components

PW5 Design of a linear amplifier @ 2GHz using Keysight ADS

PW6 Test and Measurement of your Designed linear amplifier @ 2GHz.
Scholars (indicative)

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.
Scholars (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)

Light polarization and propagation in birefringent media.
Course 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.
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

From analogue signal processing in time domain to the foundations of spatial signal processing

Spatial frequencies; angular spectrum

Fresnel and Fraunhofer diffraction

Gaussian beams

Waveoptics analysis of coherent optical systems

Coherent optical information processing
Practical Works

Femtosecond fiber laser

NdYAG laser

Optical fibers:

fiber splicing, losses measurements and reflectometry

Optical fiber systems :

Fiber amplifiers
 Digital transmission over fiber –Dispersion management
Scholars (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: 24H.
Methods of Assessment and Weighting

Exam ( lecture & tutorials)

Duration: 2 Hours

Weight: 75%.

Exam – lab

Duration: 3 Hours

Weight: 25%.
Credit Units (ECTS): 9
Prerequisites

Linear design of microwave amplifiers

Practice on Advance Design Simulator (ADS)

Basics of active and nonlinear microwave devices and circuits
Course Aims
To achieve the necessary skills to detect and solve stability problems in the design of microwave amplifiers, for both small and largesignal operation.
Learning Outcomes
On successful completion of this course, a student will be able to:

understand the origin, nature and types of circuit instabilities in microwave amplifiers in small and largesignal regimes.

use a CAD tool based on polezero identification to analyze the stability of the amplifier in an efficient way during the design stage.
Indicative Content & lectures

Harmonic Balance simulation of microwave circuits in largesignal operation.

Fundamentals of local stability.

Main stability analysis techniques.

Polezero identification applied to stability analysis.

Largesignal stability analysis using pole zero identification.

Stabilization networks.
Practical Works

PW1: Linear stability analysis of a smallsignal amplifier.

PW2: Largesignal stability analysis of a multistage power amplifier (part 1 – Analysis)

PW3: Largesignal stability analysis of a multistage power amplifier (part 2 – Stabilization)
Suggested Bibliography

Microwave and RF Design of Wireless Systems, David M. Pozar, John Wiley & Sons, 2001

A. Suarez, Analysis and Design of Autonomous Microwave Circuits. New York: Wiley, 2009

A. Suarez, “Check the Stability: Stability Analysis Methods for Microwave Circuits,” IEEE Microw. Mag., vol. 16, no. 5, pp. 69 – 90, May 2015

STAN Tool: A Unique Solution for the Stability Analysis of RF & Microwave Circuits, AMCAD Engineering, White Paper
Methods of delivery & learning Hours (H)

Lecture/Tutorials (22H)

Lab Sessions: (08H).
Methods of Assessment and Weighting
Exam (lectures and lab activity)

Exam/Quiz (40%)

Laboratory activities and reports (60%)
Credit Units (ECTS): 3
Semester 2: Courses at UNIBS (30 ECTS)
Core courses (24 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 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 concepts of solidstate physics (definition of a crystal, tight binding etc.)

Basic concepts of quantum mechanics (Hamiltonian, wavefunctions, operators etc.)

Maxwell’s equations, Coulomb and Lorentz forces

Vectors, matrices, divergence, and curl
Module Aims
The students will learn the fundamental electronic and optical properties of 2D quantum confined electrons, starting from the most significant findings in the field of graphene that eventually led to the Nobel Prize in Physics in 2010.
Learning Outcomes
On successful completion of this module a student will be able to:

Calculate the linear band dispersion of graphene from tight binding

Understand and discuss the analogies between electrons in graphene and relativistic particles.

Understand and compare the quantum Hall effect, tunnelling, and the concept of effective mass for 2D electron gases with parabolic dispersion vs. Dirac fermions

Understand optical characterization methods based on absorption and Raman spectroscopy for monolayer and multilayer graphene
Indicative Content
 Section 1: Band structure and Hamiltonian of monolayer graphene
 Crystals in 2D
 Tight Binding of monolayer graphene
 Graphene field effect devices
 Dirac’s equation
 Section 2: Dirac’s fermions
 Anomalous quantum Hall effect
 Klein tunnelling
 Effective mass and massless fermions
 Section 3: Optical properties
 Phonons and Raman characterization
 Absorption and visibility
Practical Works
Not applicable
Scholars (indicative)
Not applicable
Suggested Bibliography
 M. I. Katsnelson, Graphene. Carbon in Two Dimensions
 Journal articles will be provided during the course
Methods of delivery & learning Hours (H)
 Lecture (24H)
Methods of Assessment and Weighting
 Written examination
 Duration: 2 Hours
 Weight: 100%
Credit Units (ECTS): 3
Elective courses (6 ECTS)
Prerequisites
Basic knowledge of electromagnetism is recommended.
Module Aims
The course is aimed at those who wish to approach or broaden their knowledge of photonics and nanotechnology.
Learning Outcomes
We will cover all the fundamental aspects of light–matter interaction and provide a solid background to understand the properties of stateoftheart nanotechnologies.
Particular attention will be given to the understanding of basic systems and Fourier Optics. We will then move to analyze metallic nanostructures, metamaterials, metasurfaces, and 2D materials and their applications.
The course will also provide the basics of numerical modelling of lightmatter interaction in lenses and nanostructures.
Indicative Content
 Introduction
 Ray Optics
 simple optical components (mirrors, planar boundaries, lenses, light guides);
 graded indexoptics (the ray equation, graded index optical components);
 matrix optics (the ray transfer matrix, matrices of simple optical components, cascaded optical components, periodic systems);
 Wave and Beam Optics
 monochromatic waves;
 relation between ray optics and wave optics;
 simple optical components;
 interference;
 polychromatic and pulsed light;
 gaussian beams;
 Fourier Optics
 propagation in free space
 diffraction of light
 image formation
 Recap of lightmatter interactions
 Maxwell’s equations in free space and in dielectric media
 boundary conditions and constitutive relations
 Wave equation
 Poynting Theorem
 Material properties: linear/nonlinear, homogeneous/inhomogeneous, isotropic/anisotropic, stationary/nonstationary, dispersive/nondispersive
 propagation in dispersive media: group velocity and group velocity dispersion
 Polarization Optics
 polarization of light
 reflection and refraction
 anisotropic media
 liquid crystals
 polarization devices
 Resonators
 planar resonators
 two and threedimensional resonators
 microresonators
 Photonic Crystals
 Plasmonics
 Metamaterials
 Basics of numerical modeling of lightmatter interaction (6h)
 TMM
 FDTD + BPM
 Numerical laboratory
Suggested Bibliography
Haus; Fundamentals and applications of nanophotonics; Woodhead Publishing; ISBN: 9781782424642;
Saleh, Teich; Fundamentals of Photonics; Wiley;
Methods of Delivery
Lessons and tutorials (60 Hours).
Methods of Assessment and Weighting
Written exam
OR
Prerequisites
Basic courses in chemistry and physics (electromagnetism). The experimental activity will be tailored by taking the individual background of the students into account.
Course 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 characterized by a truly interdisciplinary nature. The lab experimental activity will lead the student to the nanofabrication and characterization of some nanodevices, with possible applications in the fields of energy conversion and storage, sensing and biosensing, smart data storage.
Learning Outcomes
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 characterized by a truly interdisciplinary nature. Through lectures, the student will learn the basic notions at a theoretical level, while through simple laboratory activities, the student will learn to manufacture and characterize some nanodevices
Indicative Content

Introduction. The chemical foundations of nanotechnology, chronological evolution and future challenges, peculiar properties at the nanoscales

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

Plasmonic nanoparticles and nanostructures: What are plasmons? Optical properties of plasmonic NPs, synthesis of spherical NPs, synthesis of NPs with different shapes (nanorods, nanostars, nanocubes, hollow nanoparticles, core/shell NPs), synthesis and properties of nanoclusters, NPs applications for optical sensors, applications for Raman Spectroscopy (introduction to vibrational spectroscopies, Raman Spectroscopy and SERS effect), plasmonic heating applications, photothermal therapy, photocatalysis

Colloidal spheres and photonic crystals: structural colors, SiO2 nano and microparticles (synthesis and chemical properties), photonic crystals formation, applications in the field of optical sensors, photocatalysis and energy transition, Raman Spectroscopy (notplasmonic SERS)

Soft matter: synthetic polymers (i.e. PDMS, chemical properties and applications), hydrogels based on natural polymers (i.e. alginate and chitosan), sustainable materials for sensors and largearea electronics

notes on Quantum dots (optical properties, influence of size and shape, synthesis, applications: imaging and photovoltaic cells)

notes on Cbased nanomaterials (carbon allotropes, focus on nanostructures: graphene, nanotubes and fullerenes, examples of applications)

Hands on: NanoLab Teamwork experiments on the synthesis of nanostructures and nanodevices on characterization of their functional properties

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
L. Cademartiri, G.A. Ozin, Concepts of Nanochemistry, Wiley, 2009 – Lecture notes, handouts, and scientific particles provided by the professor.
Methods of Delivery
Lessons and laboratory activities (30 Hours).
Methods of Assessment and Weighting
Oral discussion on the experimental lab activity and selected scientific papers.
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 EMIMEP for the third semester
University of Limoges
Core courses (27 ECTS)
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.
Scholars (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: Lectures
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.
Scholars (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 & Tutorial

Part II: Lecture & Tutorial
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
Prerequisites
The basic tools of digital communications: Inter Symbol Interference, Binary Error Rate on an AWGN ideal channel, erf and erfc functions, digital filtering, Nyquist filtering, channel time and frequency selectivity…
Module Aims
The goal is to give the required basis to the students to understand the physical layer of modern high rate wireless transmission systems. The capacity of wireless links has dramatically increased in the last decade and this module gives to the students the main reasons why.
Learning Outcomes
After the module the students will be able to dimension a digital transmission system using performing transmit techniques such as the orthogonal frequency division multiplexing.
Indicative Content
Characterization of propagation channels for high bit rate wireless digital communications, singlecarrier systems (AWGN), filters at emitter and receiver sides, Nyquist criterion, equalization for singlecarrier systems, shortcomings for 4G systems, introduction of multicarriers modulations, description of Orthogonal Frequency Division Multiplexing (OFDM), synchronization, some examples (UMTS, LTE, WIFIWIMAX).
Suggested Bibliography
JG Proakis Massoud Salehi, Digital Communications, fifth edition, Wiley.
Methods of Delivery
Lectures and Tutorials
Methods of Assessment and Weighting
Exam ( lecture & tutorials)
Duration: 2 Hours
Weight: 100%
Examination period in December/January.
Credit Units (ECTS): 1.5
Prerequisites
Understanding linear propagation in optical fibers (including role of chromatic dispersion in pulsed regime). Principles of laser emission in condensed matter. Construction of laser resonators. Knowledge of nonlinear (cubic) interactions in optical fibers.
Course Aims

To explain how to detect light and how to characterize such light sources;

To explain how to tailor the relevant parameters of light sources;

To explain how the interplay between linear and nonlinear effects in optical waveguides affects light propagation;

To explain how to tailor the relevant parameters of optical fibres.
Learning Outcomes
Upon completion of the course, the student will be able to design a coherent lightemitting system based on optical fibres, taking linear and nonlinear interactions into account in order to tailor the emitted beam according to some specific application. He will be able to analyse and characterize the spatial, temporal and spectral features of the emitted radiation. The student will also be able to use COMSOL.
Indicative Content

Basic skills: Detection (field modelling, spacetime behaviour, how to measure phase, field and intensity correlation, relation between spatial and temporal behaviours), propagation (dispersion – diffraction, similarities for a 2nd order description, Gaussian beams and Gaussian pulses, spacetime analogy, focus on light sources (relevant parameters for light source description, spatial and temporal modes, examples).

Advanced sources:

How to manage the relevant parameters of a coherent source? Parameters for full spacetime characterization of the laser radiation, M² parameter, autocorrelation trace, Fourierlimited pulses, diffractionlimited beams, tailoring a coherent radiation (spatial and frequency filtering, spacetime analogy, spacetime profiling), control of spacetime characteristics by spatial light modulators.

Spatial behaviour: guided wave optics – optical fibre (geometrical vs wave approach, techniques for controlling modal properties), indexguiding microstructured fibres (architecture, analogy with conventional fibres, modified total internal reflection, fabrication, properties), applications to high power sources, hollowcore fibers (bandgap and antiresonant fibers).

Temporal behaviour: thirdorder nonlinearities and their impact on the pulse, management of third order nonlinearities for guided waves: microstructured fibres (index and bandgap guiding) vs conventional fibres, control over the propagation constant), singlefrequency laser (gas laser, DBR, a few applications to LIDAR, LIGOVIRGO), partially coherent radiation (evaluation of the mutual degree of coherence, incoherent supercontinuum and application to infrared spectromicroscopy), modelocked lasers (principles, operation regimes (soliton, dispersionmanaged, allnormal, chirped pulse), Raman solitons → application to multiphoton microscopy), frequency combs: coherent supercontinuum for metrology.

Labs: numerical design of complex, microstructured, optical fibers with COMSOL multiphysics. Numerical modelling of pulse propagation in optical fibers with tailored nonlinearity and chromatic dispersion with Matlab.
Suggested Bibliography

Optics background
Eugene Hecht, Optics, fifth edition, Pearson (2016), ISBN 1292096934, 9781292096933, 728 pages

Fiber optics
– A. Ghatak, K. Thyagarajan, An Introduction to Fiber Optics, Cambridge University Press (1998), 565 pages
– G. Agrawal, Nonlinear Fiber Optics, 6th Edition, Academic Press (2019), 728 pages
Methods of Delivery
Lecture & Lab Sessions (CAD Matlab and Comsol Multiphysics)
Methods of Assessment and Weighting
Exam ( lecture & tutorials)
Duration: 3 Hours
Weight: 75%
Examination period in December/January.
Exam ( Lab sessions)
Duration: 1 Hours
Weight: 25%
Examination period in December/January.
Credit Units (ECTS): 7.5
Prerequisites

Maxwell’s equations, planes waves.

Equations of propagation

Resolution of linear systems

Antennas Parameters (Radiation and electrical characteristics, S parameters, Transmission Equation)

Antenna array analysis

Wire antennas, patch antennas, radiating apertures
Module Aims

EMC : Introduction to the Electromagnetic Compatibility (EMC) – How to solve EMC problems using analytic approaches based on physical phenomena or using numerical tools.

Antennas : Overview of antennas and array architectures for terrestrial and space communications and radar detection. Study of pattern synthesis techniques and tools. Antenna array and associated circuit design guidelines for beamforming. Analysis of the properties and design rules of radiating apertures and reflector antennas
Learning Outcomes
On successful completion of this module a student will be able to:

Understand the different ways of parasitic electromagnetic coupling

Evaluate the perturbation level in simple cases at the electronic systems level

Design an antenna array according to a given pattern specification

Design and to analyze the performances of most common radiating apertures and reflector antennas
Indicative Content

EM compatibility
– Typical examples of EMC problem
– Introduction to diffraction problems, resolution using numerical tools
– Principle of an analytical approach based on circuit representation of physical phenomena
– Sources of electromagnetic interferences
– Coupling phenomena, particular case of transmission lines,
– Electromagnetic shielding and nonlinear protections

Antennas:
– Introduction on analog and digital beamforming architectures
– Linear and Planar Array Factor Synthesis (Fourier, Chebyshev, Numerical synthesis).
– Array beamforming networks
– Radiating apertures (horn antennas, slotted waveguide)
– Reflector antennas: properties and design.
Suggested Bibliography

“Analysis of multiconductor transmission lines” Clayton R. Paul, IEEE Press, WileyInterscience A. John Wiley & sons, Inc, Publication. ISBN 9780470131541

“La Compatibilité Électromagnétique des systèmes complexes » Olivier Maurice – HermesLavoisier.

Randy L. Haupt – Antenna Arrays_ A Computational Approach (2010, WileyIEEE Press)

Constantine A. Balanis, ANTENNA THEORY ANALYSIS AND DESIGN, THIRD EDITION, A JOHN WILEY & SONS, INC., PUBLICATION.

Mailloux, Robert J, Phased Array Antenna Handbook, Third Edition,Artech House, 2017
Methods of Delivery

EMC : Lecture (10h)

Antennas : Lecture (15h) Tutorial (5h)
Methods of Assessment and Weighting
Exam( lecture & tutorials)
Duration: 2 Hours
Weight: 100%
Credit Units (ECTS): 7.5
Elective courses (3 ECTS)
Prerequisites

General knowledge on Information and Communications technologies (ICT)

Basics on electronic devices and systems

Basics on semiconducting materials and devices

Mathematical methods for physics and engineering
Course Aims
To provide students with a basic understanding in the field of Energy Harvesting specifically applied to sustainable Internet of Things (IoT). The module aims at developing a general knowledge on various energy harvesting technologies that can be deployed to power autonomous sensors and/or objects in the field of IoT and industrial IoT. The module also aims at giving a general knowledge on ultralow powerelectronics and energy management systems.
Learning Outcomes
On successful completion of this module a student will be able to:

Understand the context and challenges in the field of energy harvesting applied to IoT

Understand the main principles of operation of various energy conversion devices exploiting indoor light, thermal gradients, mechanical motions/vibrations, or ambient RF energy.

Understand the challenges associated with ultralow power electronics and energy management in IoT systems

Establish a preliminary energy assessment of IoT systems in order to select the most suitable energy harvesting technology.
Indicative Content

Part 1: Energy Harvesting, power management circuits and ultralow power electronics for the autonomy of electronic devices

Part 2: Indoor photovoltaics for IoT

Part 3: Power transfer by wireless technologies

Part 4: Ultra low power harvester and Management IC

Part 5: Thermal energy harvesting for IoT
Pratical Works
Some case studies can be proposed during the lectures, based on typical IoT devices or energy harvesters
Guest Lecturers (indicative).
Dr. Sébastien Boisseau (CEA LETI/DSYS) “Energy harvesting for autonomous electronic systems:
principles and opportunities”
Suggested Bibliography

M. Alhawari et al, “Energy Harvesting for SelfPowered Wearable Devices”, Springer 2018, ISBN 9783319625775

Y. K. Tan, “Energy Harvesting Autonomous Sensor Systems”, CRC Press, 2017, ISBN 9781351 832564
Methods of Delivery
 Introduction conference (3h)
 Lectures (17h)
Methods of Assessment and Weighting
Case studies are proposed on each part (excluding on the introductive conference), based on the discussed concepts and technologies (from the lectures). In each case, either a report or an oral restitution is proposed.

Part 2: 1 short report or oral restitution (weight 25%)

Part 3: 1 short report or oral restitution (weight 25%)

Part 4: 1 short report or oral restitution (weight 25%)

Part 5: 1 short report or oral restitution (weight 25%)
Credit Units (ECTS): 03
Prerequisites

Basic notions of 3D drawing

Basic notions on mechanical manufacturing

Basics basic notions of microwave components (from TU MPC)

Mathematical methods for physics and engineering (e.g. …)
Module Aims
To teach students a basic understanding of the production processes based on additive manufacturing technologies (metal, ceramic and plastic) and on heterogeneous integration of RF subsystems using such 3D printing technologies.
Learning Outcomes
Upon successful completion of this module, a student will be able to:

Understand the design rules related to each additive manufacturing technology

Understand the industrial issues related to the technology

Establish the positioning (advantages and disadvantages) of additive manufacturing compared to other manufacturing technologies

Establish the current and future RF components and subsystems in industrial production
Indicative Content

Part I: Basics on microwave domain (Lectures: 3h)

Microwave domain and additive manufacturing in RF frontend

Theory of transmission line

Sparameters

Waveguide and 3D resonators

Microwave filtering
 Part II: Basics on additive manufacturing (Lectures: 3h)

Additive processes review

Digital chain for additive manufacturing

3D printing hybridation for ceramic metal part dedicated to microelectronic

Part III: Additive manufacturing on RF components (Lectures: 3h)

Different benefit from different materials: polymers, metals, ceramics Applications: antennas, filters, signal routing, metasurfaces and metamaterials etc…

Different technologies: 3D printing and conformal printing for microwave devices

Advanced materials: lowloss polymers, temperature stable metals and ceramics etc…

Future trends: 4D printing, submicron printing
Pratical works

Design on microwave filters (using HFSS software) – RF application notions (8h)

Simulation of microwave resonant cavities

How conductivity impact performances

Impact of dielectric/metallic perturbers on the resonant frequency

Synthesis of filtering functions

CAD design on real device (10h)

Digital mockup creation with a parametric CAD software

3D printing preparation

3D printing (FDM or SLA printer preparation)

3D geometrical control

VNA calibration, HF measurement and filter adjustment (3h)

Assembling, VNA calibration & connexion, measurement, fine tuning of the S parameters

Access to technological platform of IRCER & XLIM research labs.
Guest Lecturers (indicative)
List of potential topics covered by guest lecturers.

Professor Cristiano Tomassoni, Department of engineering – Electromagnetic fields, University of Perugia, Italy

Dr. Oscar Antonio Peverini, Senior Researcher at CNREIIIT, Italy
Suggested Bibliography

Gibson, D. Rosen, B. Stucker, M. Khorasani, “Additive Manufacturing Technologies”, 3rd Edition, Spinger, 2021

Claude Barlier et Alain Bernard, “Fabrication Additive”, Collection Technique et ingénierie, Edition Dunod, novembre 2020
Methods of delivery & learning Hours (h)

Part I: Lecture (3h)

Part II: Lecture (3h)

Part III: Lecture (3h)

Lab sessions: 21h
Methods of Assessment and Weighting

Exam (about lecture & labs)

Duration: 1h30

Weight: 34%.

Report (article or poster type)

Weight: 66%.
Credit Units (ECTS): 03 ECTS
Prerequisites

Basics notions of Electromagnetism

Basics on Lasers and interaction between laser and materials

Basics principles of Optical Fibers

Mathematical methods for physics and engineering (e.g. Electromagnetic waves )
Module Aims
To provide students with basic notions and understanding of biomaterials, bioimaging and
bioelectromagnetism.
Learning Outcomes
On successful completion of this course, a student will be able to:

Know the basics of cell biology and physiology to understand the phenomena and interactions that occur between living/materials and living/electromagnetic waves;

Understand, from this knowledge, diagnostic and/or treatment technologies implementing ceramic biomaterials, biomedical imaging or electromagnetic waves.
Indicative Content

Part I: Cell biology and physiology

Molecular basics: from DNA to proteins

Cell basics: cell structure (plasma membrane components and functions), organelles, compartmentalization

Cellcell and cellextracellular matrix communication: how signaling pathways control cell behavior at the interface with biomaterials from environmental stimuli?

Cellular biomechanics and cytoskeleton

Part II: Biomaterials

Effect of chemical elements (dissolution products) on bone cells and the associated molecular mechanisms

Influence of the modification of parameters featuring biomaterial surface properties on cellular behavior

Interaction proteins/material surface

Part III: Bioimaging

From epifluorescence to confocal laser scanning microscopy

Multiphoton and vibrational microscopy

Label and labelfree imaging of biological cells/tissues

Part IV: Bioelectromagnetism

General view of bioelectromagnetism

Health risk assessment, dosimetry, specific absorption rate

Pulse electric field, dielectrophoresis, microfluidics
Lab sessions

Initiation to cell culture

Viability and proliferation tests and immunofluorescence assays

Study of cells on biomaterials by fluorescence microscopy

Specific absorption rate measurement
Scholars (indicative)
List of potential topics covered by guest lecturers.

“Calcium phosphates: from biominerals to biomaterials,” Christophe Drouet (CIRIMAT, CNRS, University of Toulouse, France)

“Applications of biomaterials in surgery,” hospital doctor (University Hospital of Limoges, France)

“Linear and nonlinear optical spectroscopy techniques in (bio)materials,” Vincent Rodriguez (ISM, CNRS, University of Bordeaux, France)

“Visualizing living cells without staining and labeling: nonlinear Raman spectroscopic approach to life sciences,” Hideaki Kano (Kyushu University, Japan)

“Chemometrics in the framework of spectroscopic imaging,” Ludovic Duponchel (LASIR, CNRS, University of Lille, France)
Suggested Bibliography

Nanostructured Biomaterials for Regenerative Medicine,” Woodhead Publishing Series in Biomaterials, 2020 (https://doi.org/10.1016/C20170021389)

“Biomaterials Science – An Introduction to Materials in Medicine,” Academic Press, 2020 (https://doi.org/10.1016/C20170023236)

“Bioimaging – Imaging by Light and Electromagnetics in Medicine and Biology,” CRC Press, 2020 (https://doi.org/10.1201/9780429260971)
Methods of delivery & learning Hours (h)

Part I: Lecture (8h)

Part II: Lecture (4.5h) Tutorial (1.5h)

Part III: Lecture (3h)

Part IV: Lecture (3h)

Lab sessions: 10h
Methods of Assessment and Weighting

Written Exam (about lecture & tutorials & labs)

Duration: 2 Hours

Weight: 66%.

Oral Exam

Duration: 45 minutes

Weight: 34%.
Credit Units (ECTS): 03 ECTS
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
Prerequisites
The description will provided on the EMIMEP website before the beganning of the academic year
Module Aims
The description will provided on the EMIMEP website before the beganning of the academic year
Learning Outcomes
The description will provided on the EMIMEP website before the beganning of the academic year
Indicative Content
The description will provided on the EMIMEP website before the beganning of the academic year
Suggested Bibliography
The description will provided on the EMIMEP website before the beganning of the academic year
Methods of Delivery
The description will provided on the EMIMEP website before the beganning of the academic yearMethods
of Assessment and Weighting
The description will provided on the EMIMEP website before the beganning of the academic year
Credit Value (ECTS): 3
University of the Basque Country
Course aims
Control engineering deals with the modeling, analysis and change of the dynamics of different kinds of systems. This course describes different control techniques, from simple to complex systems, including the control of distributed systems. Thus, the course provides an overview of the control field, including concepts such as feedback control, system stabilization, system monitoring and networkbased control. The proposed application examples are oriented to radio frequency systems.
An open source tool, EPICS control systems, widely used in large scientific facilities, is used to monitor and control distributed systems.
The concepts are applied in a small practical project valid for the evaluation and grading of the students.
Learning Outcomes
On successful completion of this course, a student will be able to:

Design and implement simple model based control systems.

Design and implement simple controllers for RF systems.

Implement simple EPICS based projects for monitoring and control distributed systems.

Apply the main concepts related with distributed control systems to a small project using real hardware.
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

K. J. Aström, R. M. Murray, Feedback Systems: An Introduction for Scientists and Engineers, 2020. Link: https://fbswiki.org/wiki/index.php/Feedback_Systems:_An_Introduction_for_Scientists_and_Engineers

S. Simrock , Z. Geng, LowLevel Radio Frequency Systems, Springer, 2022.

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

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

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

Gero Mühl, Ludger Fiege, Peter Pietzuch, Distributed eventbased systems, SpringerVerlag, 2006.

FeiYue Wang, Derong Liu , Networked Control Systems: Theory and Applications, Springer, 2008.
Methods of Delivery
 Lectures (H): 15
 Practical Works (H): 15
Methods of Assessment and Weighting
Classroom activities: 30%
Laboratory activities and reports: 70%
Credit Value (ECTS): 3
Course aims
Describe and review basic RF/microwave applications other than communications, including industrial and scientific facilities such as particle accelerators. Learn and develop practical experiments on measurement and controls of RF/microwave high power components.
Learning Outcomes
On successful completion of this course, a student will be able 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
Methods of assessment:
Classroom activities (30%), Lab activities and reports (70%)
Credit Value (ECTS): 3
Course aim
Providing students with knowledge and skills to allow them to tackle a project in designing a digital system, using programmable logic devices (PLDs) and the latest technologies of digital design with VHDL (Veryhighspeed hardware description language).
Learning Outcomes
On successful completion of this course, a student will be able to:

present methods and tools for digital system design using current programmable logic technology, mainly field programmable gate array (FPGA) devices.

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) MODULES

IP modules design and insystem integration for realtime applications,

development of a case study.
Suggested bibliography

Fundamentals of DIGITAL LOGIC with VHDL Design, Stephen Brown and Zvonko Vranesic, 3rd Edition, McGrawHill Education, 2009, ISBN: 9780073529530.

FPGAbased Implementation of Signal Processing Systems, R. Woods, J. McAllister, Y. Yi, and G. Lightbody, 2nd Edition, J. Wiley and Sons, 2017, ISBN: 9781119077954

DIGITAL SYSTEM DESIGN WITH FPGA. IMPLEMENTATION USING VERILOG AND VHDL, C. Ünsalan, and B. Tar, Mc Graw Hill Education, 2017, ISBN: 9781259837906.
Laboratory Sessions:

Digilent, “Nexys A7 FPGA Board Reference Manual”, 2019. https://reference.digilentinc.com/programmablelogic/nexysa7/start

Xilinx, “7 Series FPGAs Data Sheet: Overview. Product Specification”, DS180 (v2.6.1), 2020. https://www.xilinx.com/products/silicondevices/fpga/artix7.html

Xilinx, “Vivado Design Suite Tutorial. Design Flows Overview”, UG888 (v2020.1), 2020. https://www.xilinx.com/support/documentation/sw_manuals/xilinx2020_1/ug888vivadodesignflowsoverviewtutorial.pdf
Methods of Delivery

Lectures (H): 10

Tutorials(H): 5

Practical Works (H): 15
Methods of assessment and Weighting

Laboratory and classroom work: 30%

Homework assignments: 30%

Final project: 40%
Credit Value (ECTS): 3
Course aims
To understand the basics need of research valorization, its processes and pathways.
Learning Outcomes

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

Understand the main mechanisms for knowledge protection

Understand the processes for identifying and analysing the main channels for the uptake of research and innovation results

Understand effective and collaborative innovation management actions

Analysis of a use case
Indicative content

Introduction to protection strategies (IPR)

Introduction to patentability and technological vigilance

Introduction to the assessment of research results: definition of trialconcept, search for funding, search for partners

Introduction to the preparation, execution, and delivery of projects
Suggested Bibliography

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
Course aims
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.
Learning Outcomes

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

Think statistically and perform datadriven research.

Design Python programs and exploit its data science modules.

Collect, clean and transform data in order to extract compact representations.

Perform Exploratory Data Analysis and visualize data and their relations in expressive and meaningful ways.

Apply Machine Learning techniques to estimate models relating different variables and magnitudes, in order to explain, classify and/or predict behaviours.
Indicative content

overview,

data collection, transformation, exploration and visualization,

machine learning for data modeling.
Suggested Bibliography
Data Science

Steven S. Skiena. The Data Science Design Manual. Springer, 2017.

Cathy O’Neil, Rachel Schutt. Doing Data Science. O’Reilly, 2014.
Data Science in Python

J. Van der Plas. Python Data Science Handbook (2nd Edition). O’Reilly, 2023.

Wes McKinney. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter (3rd Edition). O’Reilly, 2022.
Machine Learning

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

Kevin P. Murphy. Probabilistic Machine Learning: An Introduction. The MIT Press, 2022.
Machine Learning in Python

Aurélien Géron. HandsOn Machine Learning with ScikitLearn, Keras and TensorFlow (3rd Edition). O’Reilly, 2023.
Methods of Delivery

Lectures (H): 18

Practical Works (H): 12
Methods of Assessment and Weights

Final Exploratory Data Analysis and Machine Learning Project: 100%
Credit Value (ECTS): 3
Course aims
To understand the basics of RF and microwave measurement techniques and systems. To acquire practice in using microwave equipment.
Learning Outcomes
On successful completion of this course, a student will be able to:

understand the main figures of merit that are measurable in the circuits and subsystems that form a wireless transceiver.

understand the principles of the modern RF and microwave measurements equipment.

work practically with basic equipment for RF and microwave measurements.

analyze and explain complex measurement setups for high frequency circuits
Indicative content

Review of circuit level and system level Figures of Merit.

Basic instruments: Power meters, Spectrum analyzers, Vector signal analyzers, Vector network analyzers, Nonlinear vector network analyzers, Oscilloscopes and timedomain measurements, and Noise figure meters.

Modular instrumentation.

Measurement setups (IMD measurements, active and passive LoadPull, Pulsed IV, etc…).
Suggested Bibliography

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.

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

Exploring the Architectures of VNAs, Agilent Application Note 12872.

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

Lectures (H): 20

Practical Works (H): 20

Seminars (H): 5
Credit Value (ECTS): 3
Course aims
Describe and review passive and active RF and Microwave devices intended to work under high power levels as it is the case in different applications, including industrial and scientific facilities such as particle accelerators. Learn and develop practical work on RF/microwave high power components.
Learning Outcomes
On successful completion of this course, a student will be able to understand the basics of electronic devices, circuits and systems for power applications in RF and microwaves.
Indicative content

RF and microwave power systems,

Passive and active components.

RF resonators and their applications. From the submillimeter to the meter. Applications ranging from communications to particle accelerators.

High power amplification devices.
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.
Methods of Delivery

Lectures (H): 20

Lab sessions (H): 10
Methods of assessment and Weights
Exam/Quiz (40%), Lab reports (60%)
Credit Value (ECTS): 3
Course Aims
Introduction to the science and technology of sensors and sensors as part of measurement systems, with emphasis on microwave planar sensors.
Learning Outcomes
On successful completion of this course, a student will be able to:

understand the basics of sensors and sensor systems at microwave frequencies.

apply knowledge of microwave sensor design for different applications.
Indicative content

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

Microwave planar sensors

Wireless Sensors

Sensor Networks and Internet of Things (IoT).
Suggested Bibliography

Ferran Martín, Paris Vélez, Jonathan MuñozEnano, Lijuan Su, Planar Microwave Sensors, Wiley, 2022

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): 20

lab sessions (H): 25
Methods of Assessment and Weighting

Exam/Quiz (40%), Lab reports (60%)
Credit Value (ECTS): 4.5
Course aims
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.
Learning Outcomes
On successful completion of this course, a student will be able to:

Design and implement simple Matlab scripts and Simulink models.

Interconnect Matlab and Simulink to enhance simulation processes.

Use Matlab toolboxes in her/his designs.

Design and implement control solutions in LabVIEW both in regular and realtime based hardware.

Control and integrate nonNational Instruments devices into the LabVIEW based solutions.
Indicative content

Introduction to the modelbased design. Use Case study: Design process of a Radio Frequency Quadrupole. Software tools for design, validation and testing.

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.

Use Matlab/LabVIEW to model and control a small testbech using real hardware.
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.

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
Friedrich Schiller University Jena
Core Course (18 ECTS)
Prerequisites
No official requirements
Learning Outcomes

Carrying out scientific labwork in optics together with a research team

Preparation of a scientific report

Presentation of the results in a written report
Indicative Content
Internship in a research laboratory
Suggested Bibliography
Specifically defined by the instructor of the research team.
Methods of Delivery
Work load (540 Hours)
Methods of Assessment and Weighting

Lab Work mark (100%).

Consists of a written report (approximately 2030 pages) and a final presentation (1525 minutes) with subsequent discussion

The final grade will be determined based on the research performance, the final report, and the presentation
Credit Units (ECTS): 18
Elective courses (12 ECTS)
The students will be guided by the local coordinator in the selection of the courses
Prerequisites
No official requirements
Learning Outcomes
The aim of this course is to give a comprehensive overview about active photonic devices such as switches or modulators. The course starts by a crisp introduction to the most important parameters and physical principles. The Lecture will then focus onto realworld devices including the areas of electrooptics, waveguides, acoustooptics, magnetooptics and nonlinear optics. During this Lecture we will discuss the fundamental principles as well as devices currently employed in photonics. This Lecture will provide the students a base for their Master’s thesis.
Indicative Content

Introduction;

Electrooptical modulation;

Acoustooptical devices;

Magnetooptics and optical isolation;

Integrated lasers;

NonLinear devices for light generation;
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (40 hours)

Independent studying (80 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written examination (100%)
Credit Units (ECTS): 4
Prerequisites
No official requirements
Learning Outcomes

The course covers the fundamentals and concepts of the selected laser applications.

Learning to develop own solutions for challenges in laser applications
Indicative Content

Overview over laser beam applications as a contactless and remote probe (macroscopic and microscopic, cw and ultrafast, dealing with spectroscopy, metrology, sensing, and multidimensional microscopy)

Fundamental concepts of related physical and physicochemical effects

Absorption and emission of light (selection rules)

Ultrafast coherent excitation and relaxation (linear and nonlinear optical processes)

Light reflection and elastic/inelastic scattering
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Oral examination (100%)
Credit Units (ECTS): 4
Prerequisites
No official requirements
Learning Outcomes
In various selected topics out of the broad field of laser applications, the students should acquire knowledge of laser material interactions (e.g. atom cooling and optical tweezer), laser induced processes in gases, liquids, and matrices (incl. laser isotope separation), materials´ preparation and structuring by ablation, deposition and/or modification.
Indicative Content

Applied Laser Technology using the laser as a too Fundamental concepts of related physical and physicochemical effects

microscopic and macroscopic lightmaterialsinteractions material preparation and modification (with the exception of classical laser materials´ processing)
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written or oral examination (100%)
The form of the exam will be announced at the beginning of the semester.
Credit Units (ECTS): 4
Prerequisites
No requirements
Learning Outcomes
The course aims at an introduction to various techniques used for computer based optical simulation. Therefore, the student should learn how to solve Maxwell’s equations in homogenous and inhomogeneous media rigorously as well as on different levels of approximation. The course concentrates predominantly on teaching numerical techniques that are useful in the field of micro and nanooptics.
Indicative Content

Introduction to the problem – Maxwell’s equations and the wave equation;

Free space propagation techniques;

Beam propagation methods applied to problems in integrated optics;

Mode expansion techniques applied to stratified media;

Mode expansion techniques applied to spherical and cylindrical objects;

Multiple multipole technique;

Boundary integral method;

FiniteDifference TimeDomain method;

Finite Element Method;

Computation of the dispersion relation (band structure) of periodic media;

Mode expansion techniques applied to gratings;

Other grating techniques;

Contemporary problems in computational photonics.
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written examination (100%)
Credit Units (ECTS): 4
Prerequisites
Fundamental knowledge on modern optics and condensed matter physics as well as basic knowledge of a computer programming language and computational physics
Learning Outcomes
The course aims at an introduction to various techniques used for computer based optical simulation. Therefore, the student should learn how to solve Maxwell’s equations in homogenous and inhomogeneous media rigorously as well as on different levels of approximation. The course concentrates predominantly on teaching numerical techniques that are useful in the field of micro and nanooptics.
Indicative Content

Introduction to the problem – Maxwell’s equations and the wave equation;

Free space propagation techniques;

Beam propagation methods applied to problems in integrated optics;

Mode expansion techniques applied to stratified media;

Mode expansion techniques applied to spherical and cylindrical objects;

Multiple multipole technique;

Boundary integral method;

FiniteDifference TimeDomain method;

Finite Element Method;

Computation of the dispersion relation (band structure) of periodic media;

Mode expansion techniques applied to gratings;

Other grating techniques;

Contemporary problems in computational photonics.
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written examination (100%)
Credit Units (ECTS): 4
Prerequisites
No official requirements
Learning Outcomes
This course covers the advanced principles of the development of optical systems.
Indicative Content
Starting from geometrical optics the imaging system will be described and optical aberrations will be discussed. Moving on to wave optics monochromatic waves will be taken as the basis for the description of coherent imaging. Combined with scattering theory in the 1st Born approximation a fundamental understanding of the possibilities and limitations in imaging is gained. The concept of the amplitude transfer function and McCutchens 3dimensional pupil function are introduced. On this basis various coherent imaging modes are discussed including holographic approaches and their limitations, and optical coherent tomography. The working principles of lightdetectors are discussed and the requirements for appropriate sampling of images. Finally various modes of fluorescence microscopy and highresolution microscopy will be covered. The exercises will be calculating examples, also involving handson computer based modeling using Matlab and other tools.
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written or oral examination (100%)
The form of the exam will be announced at the beginning of the semester.
Credit Units (ECTS): 4
Prerequisites
No official requirements
Learning Outcomes
This course gives an introduction in layout, performance analysis and optimization of optical systems with the software Zemax.
Indicative Content

Introduction and user interface;

Description and properties of optical systems;

Geometrical and wave optical aberrations;

Optimization;

Imaging simulation;

Introduction into illumination systems;

Correction of simple systems;

More advanced handling and correction methods.
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written examination (100%)
Credit Units (ECTS): 4
Prerequisites
Basic knowledge on modern optics and condensed matter physics.
Learning Outcomes
This course introduces properties of different types of optical fiber waveguides. Applications of optical fibers and optical sensing will be discussed.
Indicative Content

Properties of optical fibers;

Light propagation in optical fibers;

Technology and characterization techniques;

Special fiber types (photonic crystal fibers, hollow fibers, polarization maintaining fibers;

Fiber devices (e.g. fiber amplifiers and lasers);

Applications
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written or oral examination (100%)
The form of the exam will be announced at the beginning of the semester.
Credit Units (ECTS): 4
Prerequisites
No official requirements
Learning Outcomes
The description will come soon.
Indicative Content
The lecture will cover a significant part of integrated quantum photonics, which is one of the pillars of the current quantum technology development. In particular, the lecture will cover the following topics

Integrated optics on a single photon level

Generation and manipulation of quantum states of light using integrated waveguides

Overview over integrated photonic platforms and fabrication of passive and active waveguide structures

Quantum walks in linear and nonlinear waveguide lattices

Introduction to photonic quantum computation and simulation

Measurements using superconducting nanowire single photon detectors and transition edge sensors
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)
 Inclass studying (45 hours)
 Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
The description will come soon.
Credit Units (ECTS): 4
Prerequisites
No official requirements
Learning Outcomes
Understanding of the working principles of modern light microscopes and microscopic methods ranging from standard methods to modern super resolution techniques.
Indicative Content

Paraxial imaging and basic properties of optical systems;

Initial systems and structural modifications;

Chromatical correction;

Aspheres and freeform surfaces;

Optimization strategy and constraints;

Special correction features and methods;

Tolerancing and adjustment.
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written examination (100%)
Credit Units (ECTS): 4
Prerequisites
No requirements
Learning Outcomes
In this course the student will learn about the fundamental fabrication technologies which are used in microoptics and nanooptics. This includes an overview of the physical principles of the different lithography techniques, thin film coating and etching technologies. After successful completion of the course the students should have a good overview and understanding of the common technologies used for the fabrication of optical micro and nanostructures. They know their capabilities and limitations.
Indicative Content

demands of micro and nanooptics on fabrication technology

basic optical effects of micro and nanostructures and their description

typical structure geometries in micro and nanooptics

coating technologies

lithography (photo, laser, electronbeam) and its basic physical principles

sputtering and dry etching

special technologies (melting, reflow, …)

applications and examples
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)

Inclass studying (45 hours)

Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written examination (100%)
Credit Units (ECTS): 4
Prerequisites
No official requirements
Learning Outcomes
Optical design is typically based on ray optics. It is discussed when the ray approach fails and a physical optics based concept can be used to tackle such situations. Moreover, physical optics provides very powerful concepts in system design, since the design tasks are formulated in terms of fields which enables access to all parameters of concern in design. Various examples from different applications are investigated to illustrate and demonstrate theoretical results
Indicative Content
 Concept of physical optics modeling by field tracing
 Geometric field tracing by smart rays.
 Design as an inverse field propagation problem
 System design in the functional embodiment
 Design of lens systems for laser sources
 Design of systems for light shaping by holographic optical elements and freeform surfaces
 Inclusion of partially coherent and polychromatic light; multiplexing
 Optimization of coatings and gratings in structure design
 Applications in laser optics, wavefront engineering, and lighting
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)
Methods of Assessment and Weighting
Written or oral examination (100%)
The form of the exam will be announced at the beginning of the semester.
Credit Units (ECTS): 4
Prerequisites
No official requirements
Learning Outcomes
The course aims to show how linear optics is applied for modeling and design of optical elements and systems. In the first part of the lecture we focus on raytracing techniques and its application through image formation. Then we combine the concepts with physical optics and obtain field tracing. It enables the propagation of vectorial harmonic fields through optical systems. In practical exercises the students will get an introduction to the use of commercial optics modeling and design software.
Indicative Content

Concepts of ray tracing

Modeling and design of lens systems

Image formation

Physical properties of lenses and lens materials in optical design

Image aberrations and methods to avoid them

Vectorial harmonic fields

Plane waves

Fourier transformation and spectrum of plane waves representation

Concepts of field tracing

Propagation techniques through homogeneous and isotropic media

Numerical properties of propagation techniques
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)
Methods of Assessment and Weighting
Written or oral examination (100%)
The form of the exam will be announced at the beginning of the semester.
Credit Units (ECTS): 4
Prerequisites
Quantum Theory.
Learning Outcomes
The course will give a basic introduction into the usage of quantum states of light for the exchange of information. It will introduce contemporary methods for the generation of quantum light and schemes that leverage these states for the exchange of information, ranging from fundamental concepts and experiments to state of the art implementations for secure communication networks. The course will also give an outlook to aspects of Quantum metrology and imaging.
After active participation in the course, the students will be familiar with the basic concepts and phenomena of quantum information exchange and some aspects related to the practical implementation thereof. They will be able to apply their knowledge in the assessment and setup of experiments and devices for applications of quantum information processing.
Indicative Content

Basic introduction to quantum optics

Quantum light sources

Encoding, transmission and detection of information with quantum light

Quantum communication and cryptography

Quantum communication networks

Outlook on Quantum metrology and Quantum imaging
Suggested Bibliography

Grynberg, Aspect, and Fabre, Introduction to Quantum Optics, Cambridge University Press.

Boyd, Nonlinear Optics, Academic Press.

Kok & Lovett, Introduction to Optical Quantum Information Processing, Cambridge University Press.

Leuchs, Lectures on Quantum Information, WileyVCH.

Sergienko, Quantum Communications and Cryptograhy, CRC Press.

Ou & Jeff, MultiPhoton Quantum Interference, Springer.
Methods of Delivery
Workload (120 Hours)
Methods of Assessment and Weighting
Written or oral examination (100%)
The form of the exam will be announced at the beginning of the semester.
Credit Units (ECTS): 4
Prerequisites
Fundamental knowledge on modern optics and condensed matter physics
Learning Outcomes
This course aims to convey a fundamental understanding of the physics governing the optical and optoelectronic properties of semiconductor nanomaterials. First, the fundamental optical and optoelectronic properties of bulk semiconductors are reviewed, deepening and extending previously obtained knowledge in condensed matter physics. The students will then learn about the effects of quantum confinement in semiconductor systems in one, two or three spatial dimensions, as well as about photonic effects in nanostructured semiconductors. Finally, several relevant examples of semiconductor nanomaterial systems and their applications in photonics are discussed in detail. After successful completion of the course, the students should be capable of understanding present research directions and of solving basic problems within this field of research.
Indicative Content
The course will cover the following topics:

Review of fundamentals of semiconductors

Optical and optoelectronic properties of semiconductors

Effects of quantum confinement

Photonic effects in semiconductor nanomaterials

Physical implementations of semiconductor nanomaterials, including epitaxial structures, semiconductor quantum dots and quantum wires

Advanced topics of current research, including 2D semiconductors and hybrid nanosystems
Suggested Bibliography
A list of Literature and materials will be provided at the beginning of the semester.
Methods of Delivery
Work load (120 Hours)
Inclass studying (45 hours)
Independent studying (75 hours) (incl. preparations for examination)
Methods of Assessment and Weighting
Written examination at the end of the semester and oral presentation on a current research topic