Nanotechnology Engineering

Educational objectives

The course provides a methodological preparation for the setting up and solving of continuum mechanics problems and provides the tools for the solution of technical problems concerning the mechanics of solids and structures. The students' learning is ascertained through an exam consisting of a written and an oral test in order to verify that the student is able to solve elementary problems of solid mechanics and slender elastic structures.
In particular, the topics cover (1) the mechanics of deformable bodies (displacement and deformation: compatibility equations) forces and efforts: postulate, lemma and Cauchy theorem, balance equations, constitutive equations: linear and isotropic and fibro-reinforced elastic materials. of resistance), (2) the elastic theory of the solid of Saint-Venant (The elastic problem of the continuous beam-shaped: exact solution and solution to Saint-Venant (extension, flexure, uniform torsion and non-uniform bending), (3) elements of beams mechanics and structural mechanics (Displacements and strain measurements, Forces and torques: balance equations, Relations between the monodimensional beam model and the 3D body, The kinematic and equilibrium problems of the constrained planar beam, The elastic problem: displacement method. The thermo-elastic response of beams in extension-bending. The technical beam theories: Euler-Bernoulli beam and Timoshenko beam).

Educational objectives

The objective of the course is to provide students with knowledge on: unconventional processes that allow to operate on the structural modification of surfaces or on the generation of complex surface structures, both on a micro and nano scale; additive manufacturing technologies applied to complex shape.
The main manufacturing processes will be identified among those of main industrial interest in order to allow students:
(i) to acquire knowledge on the thermal, chemical and mechanical mechanisms, (ii) to acquire knowledge on the performance of the manufactured parts, (iii) to make considerations about economic, performance and technological aspects, (iv) gain knowledge and abilities to design a component fabrication by means of the necessary additive manufacturing steps.

Educational objectives

The course aims to introduce the physics of light and electromagnetic waves and their technological application. Starting from Maxwell's equations, the course introduces electromagnetic waves and their solutions in terms of plane or spherical waves. Particular attention is given to the interpretation of the refractive index in a microscopic key, as an active and reactive interaction of the polarization dipoles with the electromagnetic field. This approach aims to explain the slowing down of light in media, giving the cultural tools to understand all linear and nonlinear interaction effects between light and materials.

The course will therefore analyze the reflection and refraction of light and all associated phenomena, a fundamental part for understanding both how the different optical devices currently used (mirrors, lenses, complex optical systems, optical fibers) act. The course also introduces issues related to solar panels and the conversion of solar energy. The wavy aspects of light will be analyzed both in relation to interference and optical resonators, and in relation to diffraction, introducing the Huygens-Fresnel principle and its applications in the near and far fields. These studies will allow to introduce the basic concepts of nano-optics and associated simulation techniques.

The final part of the course will introduce nonlinear materials and associated phenomena. The nonlinear view of the second and third order will be discussed. Particular attention will be paid to second order phenomena both of a catalytic nature (generation of second harmonic and generation of harmonic difference) and of refractive nature (Kerr effect and photorefractivity). By exploiting photorefractive nonlinearities it will be shown how neuromorphic circuits can be produced whose response has a similar behavior to biological neurons. These neural circuits are able to recognize optically coded information (machine learning) and memorize it (RAM and ROM memories). Neuromorphic circuits are the fundamental elements for building a hardware Photonic Artificial Intelligence.

Educational objectives

Students will learn the fundamentals of cellular and molecular biology, with particular reference to the energetic and biochemical mechanisms that underlie the functioning of macromolecules. Therefore, they will learn how a cell is made and how it works and what are the molecules that determine its structure, function and replication. In particular, the students will learn the properties of the molecular components of cells, such as proteins, carbohydrates, lipids, nucleic acids and other biomolecules. They also will learn about the most important classes of proteins such as enzymes, antibodies, receptors and transporters and will acquire a clear view of the main metabolic processes governing the origin and functioning of life. In addition, the students will develop the ability to appropriately use the technical jargon of biology/biochemistry.

Educational objectives

The course provides the student with the qualitative and quantitative tools for understanding subcellular processes and / or involving microorganisms. Inoltrefornisce the biochemical basis and kinetics necessary for the characterization of enzymatic processes of genetic regulation and growth of microorganisms and cell lines and their quantitative description

Educational objectives

The course proposes as objectives to
1. Understand the unique properties and behaviors of nanostructured materials.
2. Explore the fundamental principles of physical metallurgy relevant to nanomaterials.
3. Acquire the ability to synthesize techniques and processing methods applicable to nanostructured materials.
4. Develop skills in characterizing nanostructured materials using advanced techniques.
5. Explore the applications and potential impact of nanostructured materials in various industrial settings.

Educational objectives

The class aims at providing the theoretical basis and the computational skills for the design of mixing/reaction and separation processes in micro/nanofluidic devices. The theoretical toolbox is composed of Stokes flow theory, dynamical system approach to mass transport in laminar flows (with specific focus on deterministic chaos), macro-transport theory in periodic media for the determination of effective transport parameters. These theoretical approaches are applied to the optimal design of microfluidic reactors and separators for the identification of analytical targets and small-scale production of high-added-value products. The optimal design results from the numerical solution of the transport-reaction equations through in-house codes and commercial software. Specific emphasis is placed on clinical biomedical and pharmaceutical applications.

Educational objectives

The student acquires notions relating, on one hand, to the miniaturization strategies of compatible CMOS components according to Moore's law and, on the other hand, to alternative solutions to the conventional transistor identified in the last 30 years by semiconductor industries.
The student virtually performs a journey inside the integrated circuit, opening it and discovering its materials, every technological detail, its criticalities and its strengths.
The student learns about the meaning of the word "reliability" and the enormous importance that today this aspect has in the design of new architectures, new materials and new devices.
At a methodological level, the student learns to critically evaluate problems and solutions in the compromise between performance, cost and reliability.
Every year there are some seminars, where people from different semiconductor industries are involved and will talk about the topics of the course that are currently the core business of the Companies. These seminars aim to open our eyes to the semiconductor market and to offers for internships, degree thesis and structured positions.

Educational objectives

Physical effects due to dimension reduction (from 3D to 2D, 1D and 0D) on the structural, electronic and magnetic properties of materials. - New experimental techniques and models for the growth of nanostructures (PVD, CVD, MBE, SAM) through the study of the growth of exemplary nano-structures, and characterization techniques of nanostructures (microscopies, spectroscopies, diffraction) - New architectures at the nanoscale, present and perspective applications - Nanostructures and new low-dimensional materials for the energy storage (hydrogen, alkali metals, etc.).

A - Knowledge and understanding

OF 1) Knowledge of basic techniques and of their theoretical foundation

OF 2) To be able to conceive an experiment

B - Application skills

OF 3) Knowing how to interpret, analyze and discuss data

C - Autonomy of judgment

OF 4) To be able to integrate the acquired knowledge in order to apply them in the more general context within any specific curricular area

D - Communication skills

OF 5) Capability to communicate with experts on scientific results and strategies

E - Ability to learn

OF 6) To be able to read independently scientific texts and articles.

Educational objectives

Physical effects due to dimension reduction (from 3D to 2D, 1D and 0D) on the structural, electronic and magnetic properties of materials. - New experimental techniques and models for the growth of nanostructures (PVD, CVD, MBE, SAM) through the study of the growth of exemplary nano-structures, and characterization techniques of nanostructures (microscopies, spectroscopies, diffraction) - New architectures at the nanoscale, present and perspective applications - Nanostructures and new low-dimensional materials for the energy storage (hydrogen, alkali metals, etc.).

A - Knowledge and understanding

OF 1) Knowledge of basic techniques and of their theoretical foundation

OF 2) To be able to conceive an experiment

B - Application skills

OF 3) Knowing how to interpret, analyze and discuss data

C - Autonomy of judgment

OF 4) To be able to integrate the acquired knowledge in order to apply them in the more general context within any specific curricular area

D - Communication skills

OF 5) Capability to communicate with experts on scientific results and strategies

E - Ability to learn

OF 6) To be able to read independently scientific texts and articles.

Educational objectives

Physical effects due to dimension reduction (from 3D to 2D, 1D and 0D) on the structural, electronic and magnetic properties of materials. - New experimental techniques and models for the growth of nanostructures (PVD, CVD, MBE, SAM) through the study of the growth of exemplary nano-structures, and characterization techniques of nanostructures (microscopies, spectroscopies, diffraction) - New architectures at the nanoscale, present and perspective applications - Nanostructures and new low-dimensional materials for the energy storage (hydrogen, alkali metals, etc.).

A - Knowledge and understanding

OF 1) Knowledge of basic techniques and of their theoretical foundation

OF 2) To be able to conceive an experiment

B - Application skills

OF 3) Knowing how to interpret, analyze and discuss data

C - Autonomy of judgment

OF 4) To be able to integrate the acquired knowledge in order to apply them in the more general context within any specific curricular area

D - Communication skills

OF 5) Capability to communicate with experts on scientific results and strategies

E - Ability to learn

OF 6) To be able to read independently scientific texts and articles.

Educational objectives

The course aims to provide the student with an insight into some topics already covered in the course of Chemistry for Nanotechnologies. It also aims to provide basic knowledge in the field of Organic Chemistry, applicable in scientific, technological and industrial fields.
Expected learning outcomes:
Knowledge and understanding (Dublin descriptor I)
At the end of the course the student will have the basic knowledge in General Chemistry and in Organic Chemistry on the composition, structure, properties and transformations of matter. It will then be able to understand the environment that surrounds it from the point of view of its microscopic and macroscopic
structure. He will also be aware of the multiple interconnections of Chemistry with other scientific disciplines and the need for continuous updating on the state of the art, due to the continuous progress of scientific knowledge and technology.
Applying knowledge and understanding (descriptor II)
At the end of the course of study the student will have developed the ability to understand some chemico- physical characteristics of substances, such as, for example, aggregation state, volatility, solubility, based on the knowledge of their structure.
Making judgements (descriptor III)
At the end of the course the student will have to possess the tools to critically evaluate a chemical transformation. In some cases, based on the knowledge of the intra- and intermolecular structure of chemical compounds, to predict various chemico-physical properties, such as, for example, aggregation, solubility and
reactivity.
Communication skills (descriptor IV)
At the end of the course the student must have acquired a good language property, especially with regards to a specific scientific terminology, so as to be able to clearly communicate their knowledge and conclusions to an audience composed from people with (or without) expertise in the field.
Learning skills (descriptor V)
At the end of the course the student must have developed a learning ability that will allow him to study and deepen the chemical aspects related to the field of nanotechnology in an autonomous way.

Educational objectives

GENERAL GOALS
The course intends to provide to the student the tools for the understanding, the analysis of the working principles, the manufacturing technologies, and the performance of
microelectromechanical systems (MEMS).
SPECIFIC GOALS
The student acquires knowledge related to miniaturization strategies of microelectromechanical systems, the impact on geometries and physics, the technological solutions for its fabrication.
Examples will be provided, for different categories, from first prototypes to state-of-the-art systems, from ideas in scientific papers to solutions on the market. Materials, working principles, fabrication and packaging strategies will be examined for various devices currently employed in daily life.
• Knowledge and understanding: Thorough knowledge of the main systems built with microelectromechanical components, with reference to the physical principles of operation of the single components and the manufacturing techniques.
• Applying knowledge and understanding: Capability to analyse and compare the state-of-the-art microelectromechanical systems design and their use in diverse modern-day applications.
• Making judgements: Ability to choose, compare and design state-of-the-art microelectromechanical systems.
• Communication skills: ability to describe, analyse and compare state-of-the-art microelectromechanical systems.
• Learning skills: leaning abilities suitable for working environments where design, prototyping and performance analysis of microelectromechanical systems take place.

Educational objectives

The course provides theoretical elements for the study of kinematics and dynamics of rigid bodies, the mechanics of vibration of discrete and continuous systems, the analysis of deterministic and random signals in order to allow the student the correct design of micro-machines and micro-devices.

Educational objectives

In the scenario of the evolution of nanoelectronics, the More Than Moore strategy today is the true alternative to the More Moore strategy of gate miniaturization. That new paradigm foresees that the number of functionalities integrated in a package, rather than the number of gates integrated in a chip, will increase in time. Therefore, the More Than Moore strategy will take advantage of the evolution of nanotechnologies in the different fields of mechanics, chemistry, optoelectronics, fluidics,… and exploits the big potentialities of integrated sensors to the capabilities of nanoelectronics and of ICT, in general.
Within this frame, the class of Nanoelectronic Innovative Sensing Devices focusses onto the study of multifunctional devices based on the integration and convergence of nanoelectronics technologies and miniaturized sensors. It aims to give to students the tools to design autonomously an integrated sensing system devoted to specific application. Students will be also helped in the management of interface of the pure electronic and pure communication system with the sensing components, with particular reference to the problems related to energy management, harvesting and scavenging/
In the past years, students designed and realized prototypal systems using commercial boards, as, for example: systems for detecting water loss in domestic pipelines; system for continuous monitoring breath disorders babies in cribs, system for monitoring out-door pipe vibrations.

Educational objectives

The student will acquire consciusness about the ethernal compromise among performance, cost and reliability, which rules the micro and nanoelectronic design. The course will furnish an exhaustive overview comphrension of all the fundamental concerns which afflict the chip fabrication at a hard level, and of their current solutions .

Educational objectives

GENERAL
The course intends to provide to the student the tools for the understanding, the manufacturing techniques and the performance of systems and microsystems based on optoelectronic and photonic components.
SPECIFIC
• Knowledge and understanding: Thorough knowledge of the main systems built with optoelectronic and photonic components, with particular reference to the physical principles of operation of the single components and the manufacturing techniques.
• Applying knowledge and understanding: Capability to analyze and compare the up to date photonic systems design and their use in sensor’s application and image processing.
• Making judgements: Ability to choose, compare and design state-of-the-art photonic systems.
• Communication skills: Capability, analysis and comparison of state-of-the-art photonic systems.
• Learning skills: Ability to learn for insertion in work contexts of design, acquisition and comparison of photonic systems.

Educational objectives

The course aims to describe innovative approaches in the phenomenological modeling of complex systems such as biological growth, bioadsorption and electrodeposition of nanoparticles. For this purpose, case studies relating to research activities are theoretically described as a starting point for the elaboration of advanced structured models (for cell growth and bioproductions) and mechanistic models (for equilibrium and dynamics) for bioadsorption and electrodeposition of particles .
The course provides the basics to use analytical tools (such as spectrophotometers, chromatographs, potentiostats) useful for the characterization of systems related to bioproduction, bioadsorption and electrodeposition of nanoparticles.
The course provides the student with the theoretical skills that allow the application of experimental design and statistical analysis of data.
The course is a multi-level training course in which themes of industrial and environmental biotechnology (microalgal cultivation and bioadsorption of heavy metals) and nanotechnology (electrodeposition of metal nanoparticles) are initially exposed in theoretical terms, highlighting the relationships between the operating factors that can be varied in a process or in a laboratory experiment and the characteristic variables of the system (microalgal growth and productivity of specific biocomponents for microalgae; distribution of metals for bioadsorption at equilibrium; phenomena operating in the electrocrystallization of metals). The themes are not addressed only in descriptive terms but also by introducing mathematical models of increasing complexity (balanced growth models and structured models for microalgae; empirical and mechanistic models for the description of the distribution of equilibrium in bioadsorption; semi-empirical and phenomenological models for the description of current transients in electrodeposition) and performing computer exercises for the non-linear regression of the parameters of models of different complexity (representation of adsorbing properties by empirical models, representation of the acid-base properties of a bioadsorbent by means of continuous mechanistic models; growth transients) . In the description of the modeling, particular emphasis is given to the experimental characterization of the systems as a constraint and guide in choosing the parameters of the more complex models.
In this context, the fundamentals of some analytical techniques are explained (potentiometry, atomic absorption spectrophotometry, molecular spectroscopy, gas chromatography and high performance liquid chromatography, flow cytometry) necessary for the determination of the representative variables of the state of the proposed systems (functional groups with properties acid based on a biomass, equilibrium distribution of a metal in a suspension of bioadsorbent, determination of microalgal growth and the content of specific components such as lipids, carbohydrates and carotenoids during a bioproduction; interaction between microalgal microorganisms and bacteria).
Statistical inference techniques for data are introduced in the final phase of the lessons (hypothesis tests, confidence intervals, analysis of variance, linear regression and regression analysis for calibration).
Dublin descriptor 1: students at the end of the course acquired knowledge about
- factors influencing microalgal biological growths and the specific production of some biocomponents (lipids, starch, carotenoids) and factors influencing the bioadsorption of metals
- models for the representation of microalgal growth and production of biocomponents and models for the representation of the distribution at equilibrium of species loaded on biomass
- fundamentals of techniques of potentiometry, atomic spectrophotometry, UVVis and IR spectroscopy, high performance liquid chromatography
- fundamental notions of experimental design techniques (factorial experimentation) and statistical analysis of data (hypothesis tests, confidence intervals, analysis of variance and regression analysis)

Educational objectives

The course aims to describe innovative approaches in the phenomenological modeling of complex systems such as biological growth, bioadsorption and electrodeposition of nanoparticles. For this purpose, case studies relating to research activities are theoretically described as a starting point for the elaboration of advanced structured models (for cell growth and bioproductions) and mechanistic models (for equilibrium and dynamics) for bioadsorption and electrodeposition of particles .
The course provides the basics to use analytical tools (such as spectrophotometers, chromatographs, potentiostats) useful for the characterization of systems related to bioproduction, bioadsorption and electrodeposition of nanoparticles.
The course provides the student with the theoretical skills that allow the application of experimental design and statistical analysis of data.
The course is a multi-level training course in which themes of industrial and environmental biotechnology (microalgal cultivation and bioadsorption of heavy metals) and nanotechnology (electrodeposition of metal nanoparticles) are initially exposed in theoretical terms, highlighting the relationships between the operating factors that can be varied in a process or in a laboratory experiment and the characteristic variables of the system (microalgal growth and productivity of specific biocomponents for microalgae; distribution of metals for bioadsorption at equilibrium; phenomena operating in the electrocrystallization of metals). The themes are not addressed only in descriptive terms but also by introducing mathematical models of increasing complexity (balanced growth models and structured models for microalgae; empirical and mechanistic models for the description of the distribution of equilibrium in bioadsorption; semi-empirical and phenomenological models for the description of current transients in electrodeposition) and performing computer exercises for the non-linear regression of the parameters of models of different complexity (representation of adsorbing properties by empirical models, representation of the acid-base properties of a bioadsorbent by means of continuous mechanistic models; growth transients) . In the description of the modeling, particular emphasis is given to the experimental characterization of the systems as a constraint and guide in choosing the parameters of the more complex models.
In this context, the fundamentals of some analytical techniques are explained (potentiometry, atomic absorption spectrophotometry, molecular spectroscopy, gas chromatography and high performance liquid chromatography, flow cytometry) necessary for the determination of the representative variables of the state of the proposed systems (functional groups with properties acid based on a biomass, equilibrium distribution of a metal in a suspension of bioadsorbent, determination of microalgal growth and the content of specific components such as lipids, carbohydrates and carotenoids during a bioproduction; interaction between microalgal microorganisms and bacteria).
Statistical inference techniques for data are introduced in the final phase of the lessons (hypothesis tests, confidence intervals, analysis of variance, linear regression and regression analysis for calibration).
Dublin descriptor 1: students at the end of the course acquired knowledge about
- factors influencing microalgal biological growths and the specific production of some biocomponents (lipids, starch, carotenoids) and factors influencing the bioadsorption of metals
- models for the representation of microalgal growth and production of biocomponents and models for the representation of the distribution at equilibrium of species loaded on biomass
- fundamentals of techniques of potentiometry, atomic spectrophotometry, UVVis and IR spectroscopy, high performance liquid chromatography
- fundamental notions of experimental design techniques (factorial experimentation) and statistical analysis of data (hypothesis tests, confidence intervals, analysis of variance and regression analysis)

Educational objectives

The course aims to describe innovative approaches in the phenomenological modeling of complex systems such as biological growth, bioadsorption and electrodeposition of nanoparticles. For this purpose, case studies relating to research activities are theoretically described as a starting point for the elaboration of advanced structured models (for cell growth and bioproductions) and mechanistic models (for equilibrium and dynamics) for bioadsorption and electrodeposition of particles .
The course provides the basics to use analytical tools (such as spectrophotometers, chromatographs, potentiostats) useful for the characterization of systems related to bioproduction, bioadsorption and electrodeposition of nanoparticles.
The course provides the student with the theoretical skills that allow the application of experimental design and statistical analysis of data.
The course is a multi-level training course in which themes of industrial and environmental biotechnology (microalgal cultivation and bioadsorption of heavy metals) and nanotechnology (electrodeposition of metal nanoparticles) are initially exposed in theoretical terms, highlighting the relationships between the operating factors that can be varied in a process or in a laboratory experiment and the characteristic variables of the system (microalgal growth and productivity of specific biocomponents for microalgae; distribution of metals for bioadsorption at equilibrium; phenomena operating in the electrocrystallization of metals). The themes are not addressed only in descriptive terms but also by introducing mathematical models of increasing complexity (balanced growth models and structured models for microalgae; empirical and mechanistic models for the description of the distribution of equilibrium in bioadsorption; semi-empirical and phenomenological models for the description of current transients in electrodeposition) and performing computer exercises for the non-linear regression of the parameters of models of different complexity (representation of adsorbing properties by empirical models, representation of the acid-base properties of a bioadsorbent by means of continuous mechanistic models; growth transients) . In the description of the modeling, particular emphasis is given to the experimental characterization of the systems as a constraint and guide in choosing the parameters of the more complex models.
In this context, the fundamentals of some analytical techniques are explained (potentiometry, atomic absorption spectrophotometry, molecular spectroscopy, gas chromatography and high performance liquid chromatography, flow cytometry) necessary for the determination of the representative variables of the state of the proposed systems (functional groups with properties acid based on a biomass, equilibrium distribution of a metal in a suspension of bioadsorbent, determination of microalgal growth and the content of specific components such as lipids, carbohydrates and carotenoids during a bioproduction; interaction between microalgal microorganisms and bacteria).
Statistical inference techniques for data are introduced in the final phase of the lessons (hypothesis tests, confidence intervals, analysis of variance, linear regression and regression analysis for calibration).
Dublin descriptor 1: students at the end of the course acquired knowledge about
- factors influencing microalgal biological growths and the specific production of some biocomponents (lipids, starch, carotenoids) and factors influencing the bioadsorption of metals
- models for the representation of microalgal growth and production of biocomponents and models for the representation of the distribution at equilibrium of species loaded on biomass
- fundamentals of techniques of potentiometry, atomic spectrophotometry, UVVis and IR spectroscopy, high performance liquid chromatography
- fundamental notions of experimental design techniques (factorial experimentation) and statistical analysis of data (hypothesis tests, confidence intervals, analysis of variance and regression analysis)

Educational objectives

Lectures and lab activities will provide an advanced knowledge in the field of surface engineering and they will be focused on manufacturing and characterization of nanocomposite coatings.
The course aims at different goals:
- Introduction to the main deposition techniques for nanocomposite coatings;
- Introduction to lab facilities for electroplating and electroless deposition techniques;
- Deepening the understanding of relationship among process parameters, microstructure/morphology and properties of deposited coatings;
- Training on chemical and laboratory safety.

Educational objectives

Lectures and lab activities will provide an advanced knowledge in the field of surface engineering and they will be focused on manufacturing and characterization of nanocomposite coatings.
The course aims at different goals:
- Introduction to the main deposition techniques for nanocomposite coatings;
- Introduction to lab facilities for electroplating and electroless deposition techniques;
- Deepening the understanding of relationship among process parameters, microstructure/morphology and properties of deposited coatings;
- Training on chemical and laboratory safety.

Educational objectives

Lectures and lab activities will provide an advanced knowledge in the field of surface engineering and they will be focused on manufacturing and characterization of nanocomposite coatings.
The course aims at different goals:
- Introduction to the main deposition techniques for nanocomposite coatings;
- Introduction to lab facilities for electroplating and electroless deposition techniques;
- Deepening the understanding of relationship among process parameters, microstructure/morphology and properties of deposited coatings;
- Training on chemical and laboratory safety.

Educational objectives

Lectures are focused on characterization techniques regarding mechanical, chemical and physical properties of materials. Specific techniques devoted to the study on nanostructured materials and coatings will be explained.
Lab activities will be carried out on real (nanostructured/coated) samples, finally a section on data analysis and presentation will be introduced.

Educational objectives

Lectures are focused on characterization techniques regarding mechanical, chemical and physical properties of materials. Specific techniques devoted to the study on nanostructured materials and coatings will be explained.
Lab activities will be carried out on real (nanostructured/coated) samples, finally a section on data analysis and presentation will be introduced.

Educational objectives

Lectures are focused on characterization techniques regarding mechanical, chemical and physical properties of materials. Specific techniques devoted to the study on nanostructured materials and coatings will be explained.
Lab activities will be carried out on real (nanostructured/coated) samples, finally a section on data analysis and presentation will be introduced.

Educational objectives

Learning of the physical principles of operation of the experimental techniques covered in the course (AFM, SEM, TEM, XRD...) and of the practical procedures to implement an experiment.

Educational objectives

Learning of the physical principles of operation of the experimental techniques covered in the course (AFM, SEM, TEM, XRD...) and of the practical procedures to implement an experiment.

Educational objectives

Learning of the physical principles of operation of the experimental techniques covered in the course (AFM, SEM, TEM, XRD...) and of the practical procedures to implement an experiment.

Educational objectives

The course provides the basic theoretical knowledge on the linear dynamic behavior of discrete and continuous systems and aims to provide classical and advanced experimental notions for the characterization of micro-nano structures in the time and frequency domain. Students will learn the main methodologies for the study of the dynamic response of discrete systems with one and multiple degrees of freedom and for the modal characterization of micro-nano continuous structures subject to different constraint conditions. The theoretical and applied computational study activities will be accompanied by laboratory sessions to put into practice the knowledge gained through a direct (design) or reverse (identification) approach and using classical and more advanced acquisition techniques such as laser scanning vibrometry.

Educational objectives

The course provides the basic theoretical knowledge on the linear dynamic behavior of discrete and continuous systems and aims to provide classical and advanced experimental notions for the characterization of micro-nano structures in the time and frequency domain. Students will learn the main methodologies for the study of the dynamic response of discrete systems with one and multiple degrees of freedom and for the modal characterization of micro-nano continuous structures subject to different constraint conditions. The theoretical and applied computational study activities will be accompanied by laboratory sessions to put into practice the knowledge gained through a direct (design) or reverse (identification) approach and using classical and more advanced acquisition techniques such as laser scanning vibrometry.

Educational objectives

The course provides the basic theoretical knowledge on the linear dynamic behavior of discrete and continuous systems and aims to provide classical and advanced experimental notions for the characterization of micro-nano structures in the time and frequency domain. Students will learn the main methodologies for the study of the dynamic response of discrete systems with one and multiple degrees of freedom and for the modal characterization of micro-nano continuous structures subject to different constraint conditions. The theoretical and applied computational study activities will be accompanied by laboratory sessions to put into practice the knowledge gained through a direct (design) or reverse (identification) approach and using classical and more advanced acquisition techniques such as laser scanning vibrometry.

Educational objectives

The main objectives of the course are:
1) Describing methods and instruments for the characterization of the electrical and electromagnetic properties of micro/nanostructured materials exploitable in different fields, from electromagnetic compatibility to sensor applications;
2) Introducing the basics of sensors and giving hands-on experience in fabrication and characterization of physical sensors using new micro/nano materials.
Therefore, the course will provide the necessary background for:
a) Understanding the theoretical principles of the adopted measurement methods, the operation of equipment, the area of applicability, the procedures for data acquisition and post-processing;
b) The electrical/electromagnetic characterization of novel materials;
c) The development of novel sensors exploitable in the field of structural health monitoring and wearable electronics.
By the end of the course, students should: be able to measure the electrical/electromagnetic properties of different types of materials; be able to understand the relationship between the properties of material used for the sensor fabrication and the electromechanical response of sensor; be able to plan and follow key experimental steps in sensor development, from fabrication to characterization; be able to evaluate strength/weaknesses of different sensors; know the principles of operation and characteristics of instrumentation.
These objectives will be pursued through laboratory activities and experiences.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that found the atomistic simulations. The course is focussed on the main aspects of the classical models and the principal quantum models. Numerical laboratories and exercises will help the students to develop the needed technical skills.

Expected learning outcomes:

Knowledge and understanding (Dublin descriptor I)
At the end of the course the student will have the basic knowledge on the main atomistic simulations methods and techniques used to study, from an atomistic point of view, the nano-structures and systems of interest. They will then be able to understand the environment that surrounds it from the point of view of its microscopic and macroscopic structure. He will also be aware of the way the atomistic structure affects the materials properties and its relationship with other scientific disciplines and the need for continuous updating on the state of the art, due to the continuous progress of scientific knowledge and technology.

Applying knowledge and understanding (descriptor II)
At the end of the course of study the student will have developed the ability to understand the inner atomistic nature of some physical and chemical properties and their relations with the macroscopic properties of materials.

Making judgements (descriptor III)
At the end of the course the student will have to possess the tools to critically evaluate the limits of the different techniques and their potentiality.

Communication skills (descriptor IV)
At the end of the course the student must have acquired a good language property, especially with regards to a specific scientific terminology, so as to be able to clearly communicate their knowledge and conclusions to an audience composed from people with (or without) expertise in the field.

Learning skills (descriptor V)
At the end of the course the student must have developed a learning ability that will allow him to study and deepen the chemical aspects related to the field of nanotechnology in an autonomous way.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that found the atomistic simulations. The course is focussed on the main aspects of the classical models and the principal quantum models. Numerical laboratories and exercises will help the students to develop the needed technical skills.

Expected learning outcomes:

Knowledge and understanding (Dublin descriptor I)
At the end of the course the student will have the basic knowledge on the main atomistic simulations methods and techniques used to study, from an atomistic point of view, the nano-structures and systems of interest. They will then be able to understand the environment that surrounds it from the point of view of its microscopic and macroscopic structure. He will also be aware of the way the atomistic structure affects the materials properties and its relationship with other scientific disciplines and the need for continuous updating on the state of the art, due to the continuous progress of scientific knowledge and technology.

Applying knowledge and understanding (descriptor II)
At the end of the course of study the student will have developed the ability to understand the inner atomistic nature of some physical and chemical properties and their relations with the macroscopic properties of materials.

Making judgements (descriptor III)
At the end of the course the student will have to possess the tools to critically evaluate the limits of the different techniques and their potentiality.

Communication skills (descriptor IV)
At the end of the course the student must have acquired a good language property, especially with regards to a specific scientific terminology, so as to be able to clearly communicate their knowledge and conclusions to an audience composed from people with (or without) expertise in the field.

Learning skills (descriptor V)
At the end of the course the student must have developed a learning ability that will allow him to study and deepen the chemical aspects related to the field of nanotechnology in an autonomous way.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that found the atomistic simulations. The course is focussed on the main aspects of the classical models and the principal quantum models. Numerical laboratories and exercises will help the students to develop the needed technical skills.

Expected learning outcomes:

Knowledge and understanding (Dublin descriptor I)
At the end of the course the student will have the basic knowledge on the main atomistic simulations methods and techniques used to study, from an atomistic point of view, the nano-structures and systems of interest. They will then be able to understand the environment that surrounds it from the point of view of its microscopic and macroscopic structure. He will also be aware of the way the atomistic structure affects the materials properties and its relationship with other scientific disciplines and the need for continuous updating on the state of the art, due to the continuous progress of scientific knowledge and technology.

Applying knowledge and understanding (descriptor II)
At the end of the course of study the student will have developed the ability to understand the inner atomistic nature of some physical and chemical properties and their relations with the macroscopic properties of materials.

Making judgements (descriptor III)
At the end of the course the student will have to possess the tools to critically evaluate the limits of the different techniques and their potentiality.

Communication skills (descriptor IV)
At the end of the course the student must have acquired a good language property, especially with regards to a specific scientific terminology, so as to be able to clearly communicate their knowledge and conclusions to an audience composed from people with (or without) expertise in the field.

Learning skills (descriptor V)
At the end of the course the student must have developed a learning ability that will allow him to study and deepen the chemical aspects related to the field of nanotechnology in an autonomous way.

Educational objectives

The course provides the student with an adequate training support regarding numerical simulations to the finite elements with models of electronic device literature both for R & D needs and production processes of interest for electronic nanotechnologies.
During the course, adequate basic information is also provided on the main electrical characterization techniques on nanometer components integrated on wafers.
In particular, the course aims to provide the master's degree in industrial nanotechnology engineering with the necessary knowledge to enable him to choose the optimal electronic nanocaracterization techniques and methodologies within the processes and procedures that he will be called to define / design in the scope of his professional profile.

Educational objectives

The course provides the student with an adequate training support regarding numerical simulations to the finite elements with models of electronic device literature both for R & D needs and production processes of interest for electronic nanotechnologies.
During the course, adequate basic information is also provided on the main electrical characterization techniques on nanometer components integrated on wafers.
In particular, the course aims to provide the master's degree in industrial nanotechnology engineering with the necessary knowledge to enable him to choose the optimal electronic nanocaracterization techniques and methodologies within the processes and procedures that he will be called to define / design in the scope of his professional profile.

Educational objectives

The course provides the student with an adequate training support regarding numerical simulations to the finite elements with models of electronic device literature both for R & D needs and production processes of interest for electronic nanotechnologies.
During the course, adequate basic information is also provided on the main electrical characterization techniques on nanometer components integrated on wafers.
In particular, the course aims to provide the master's degree in industrial nanotechnology engineering with the necessary knowledge to enable him to choose the optimal electronic nanocaracterization techniques and methodologies within the processes and procedures that he will be called to define / design in the scope of his professional profile.

Educational objectives

The course is devoted to students who are interested in the application of novel photonic techniques for the fabrication integrated devices used in the life sciences field.

The course has three principal aims:
• To give a theoretical description of the basic phenomena governing the interaction of organic molecules and light, increasing the background knowledge that students acquired duoirng their basic physics courses;
• To show laboratory demonstrations of such phenomena by means of specifically prepared experiments, so as to put students in contact with the standard equipment used in optics and phtonics laboratories;
• To describe the principal techniques and the devices commonly used for the advanced study of biological systems.

The three aims will be pursued simultaneously during the course Trying to put into evidence the fundamental and applied characteristics of all phenomena.Skills to be acquired: The students who will overtake
the exam will posses knowledge on the basic phenomena governing the imaging techniques used in biology and the photonic techniques ruling commonly used bio-opto-photonic devices.

Educational objectives

The basic units of a microfluidic circuit are analyzed, namely micromixers, micro heat exchangers, and separation units. Background on the constitutive relationships governing molecular transport of momentum, mass and energy, and their use in local and macroscopic balances constitute the incipit of the course. Emphasis is focused on the interaction between mass and momentum transport and externally imposed electromagnetic fields (electroosmotic and magnetohydrodynamic pumps). Analytical solutions derived for simple geometries are used as a paradigm to orient the design of real world devices, the performance of which is established through commercial software.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. The Course is aimed to provide the general electromagnetic theory of artificial materials, metamaterials and plasmonic structures, of considerable importance in many recent applications.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The students will be able to model from the electromagnetic point of view, and to simulate the relevant behaviour using numerical techniques, some materials of particular interest in the applications.
MAKING AUTONOMOUS JUDGEMENTS. To be able to formulate a proper evaluation relevant to the Course topics and their importance in the applications. To be able to collect and critically evaluate additional information to achieve a greater awareness of the Course topics.
COMMUNICATE SKILLS. To be able to describe the Course topics. To be able to communicate the knowledge acquired on the Course topics.
LEARNING SKILLS. Key instruments extensively used for their physical intuition and representative generality are the constitutive relations, the homogenization concept and the equivalent-circuit representations.

Educational objectives

The course introduces the basic principles of rheology and rheometry, both in rotational and oscillatory regime, with a special emphasis on smart fluid, in particular Electro-Rheological ones.

By the end of the course the student will be able to:
- Understand and apply mathematical models underlying the flow behavior of both an ideally viscous and visco-elastc fluid;
- Differentiate fluids, based on their rheological behavior;
- Design and conduct rheometric measurement on materials showing various rheological behavior;
- Understand potential applications of smart fluids in industry;
- Analyze and interpret experimental tests, based on raw data analysis;
- Develop and apply predictive models though software data processing (Matlab).

Educational objectives

The course provides a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals.

Educational objectives

Leading the student to the clearcomprehension of the ligth matter interaction in the optical frequency range. Providing physical understanding of the mechanisms by which is possible to realize miniaturized laser sources. Ability to correctly formulate a model to projcet and realize laser sources at the nanoscale.

Educational objectives

The objectives of the course are linked to the knowledge and use of electromagnetic fields for the design of applications and technologies that have medical uses in the order of magnitude of nanometers (1-100nm).

Educational objectives

The course aims to introduce the physics of light and electromagnetic waves and their technological application. Starting from Maxwell's equations, the course introduces electromagnetic waves and their solutions in terms of plane or spherical waves. Particular attention is given to the interpretation of the refractive index in a microscopic key, as an active and reactive interaction of the polarization dipoles with the electromagnetic field. This approach aims to explain the slowing down of light in media, giving the cultural tools to understand all linear and nonlinear interaction effects between light and materials.

The course will therefore analyze the reflection and refraction of light and all associated phenomena, a fundamental part for understanding both how the different optical devices currently used (mirrors, lenses, complex optical systems, optical fibers) act. The course also introduces issues related to solar panels and the conversion of solar energy. The wavy aspects of light will be analyzed both in relation to interference and optical resonators, and in relation to diffraction, introducing the Huygens-Fresnel principle and its applications in the near and far fields. These studies will allow to introduce the basic concepts of nano-optics and associated simulation techniques.

The final part of the course will introduce nonlinear materials and associated phenomena. The nonlinear view of the second and third order will be discussed. Particular attention will be paid to second order phenomena both of a catalytic nature (generation of second harmonic and generation of harmonic difference) and of refractive nature (Kerr effect and photorefractivity). By exploiting photorefractive nonlinearities it will be shown how neuromorphic circuits can be produced whose response has a similar behavior to biological neurons. These neural circuits are able to recognize optically coded information (machine learning) and memorize it (RAM and ROM memories). Neuromorphic circuits are the fundamental elements for building a hardware Photonic Artificial Intelligence.

Educational objectives

Students will learn the fundamentals of cellular and molecular biology, with particular reference to the energetic and biochemical mechanisms that underlie the functioning of macromolecules. Therefore, they will learn how a cell is made and how it works and what are the molecules that determine its structure, function and replication. In particular, the students will learn the properties of the molecular components of cells, such as proteins, carbohydrates, lipids, nucleic acids and other biomolecules. They also will learn about the most important classes of proteins such as enzymes, antibodies, receptors and transporters and will acquire a clear view of the main metabolic processes governing the origin and functioning of life. In addition, the students will develop the ability to appropriately use the technical jargon of biology/biochemistry.

Educational objectives

The course provides the student with the qualitative and quantitative tools for understanding subcellular processes and / or involving microorganisms. Inoltrefornisce the biochemical basis and kinetics necessary for the characterization of enzymatic processes of genetic regulation and growth of microorganisms and cell lines and their quantitative description

Educational objectives

The basic units of a microfluidic circuit are analyzed, namely micromixers, micro heat exchangers, and separation units. Background on the constitutive relationships governing molecular transport of momentum, mass and energy, and their use in local and macroscopic balances constitute the incipit of the course. Emphasis is focused on the interaction between mass and momentum transport and externally imposed electromagnetic fields (electroosmotic and magnetohydrodynamic pumps). Analytical solutions derived for simple geometries are used as a paradigm to orient the design of real world devices, the performance of which is established through commercial software.

Educational objectives

The course proposes as objectives to
1. Understand the unique properties and behaviors of nanostructured materials.
2. Explore the fundamental principles of physical metallurgy relevant to nanomaterials.
3. Acquire the ability to synthesize techniques and processing methods applicable to nanostructured materials.
4. Develop skills in characterizing nanostructured materials using advanced techniques.
5. Explore the applications and potential impact of nanostructured materials in various industrial settings.

Educational objectives

The objective of the course is to provide students with knowledge on: unconventional processes that allow to operate on the structural modification of surfaces or on the generation of complex surface structures, both on a micro and nano scale; additive manufacturing technologies applied to complex shape.
The main manufacturing processes will be identified among those of main industrial interest in order to allow students:
(i) to acquire knowledge on the thermal, chemical and mechanical mechanisms, (ii) to acquire knowledge on the performance of the manufactured parts, (iii) to make considerations about economic, performance and technological aspects, (iv) gain knowledge and abilities to design a component fabrication by means of the necessary additive manufacturing steps.

Educational objectives

Comprehension of the physical models describing the operation of basic semiconductor devices.
Development of suitable methodological approaches for the analysis of the operation of semiconductor devices.
Understanding of the manufacturing technology of integrated devices, of its evolution, its main limits and its future trends.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. The Course is aimed to provide the general electromagnetic theory of artificial materials, metamaterials and plasmonic structures, of considerable importance in many recent applications.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The students will be able to model from the electromagnetic point of view, and to simulate the relevant behaviour using numerical techniques, some materials of particular interest in the applications.
MAKING AUTONOMOUS JUDGEMENTS. To be able to formulate a proper evaluation relevant to the Course topics and their importance in the applications. To be able to collect and critically evaluate additional information to achieve a greater awareness of the Course topics.
COMMUNICATE SKILLS. To be able to describe the Course topics. To be able to communicate the knowledge acquired on the Course topics.
LEARNING SKILLS. Key instruments extensively used for their physical intuition and representative generality are the constitutive relations, the homogenization concept and the equivalent-circuit representations.

Educational objectives

The course provides a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals.

Educational objectives

The main objectives of the course are:
1) Describing methods and instruments for the characterization of the electrical and electromagnetic properties of micro/nanostructured materials exploitable in different fields, from electromagnetic compatibility to sensor applications;
2) Introducing the basics of sensors and giving hands-on experience in fabrication and characterization of physical sensors using new micro/nano materials.
Therefore, the course will provide the necessary background for:
a) Understanding the theoretical principles of the adopted measurement methods, the operation of equipment, the area of applicability, the procedures for data acquisition and post-processing;
b) The electrical/electromagnetic characterization of novel materials;
c) The development of novel sensors exploitable in the field of structural health monitoring and wearable electronics.
By the end of the course, students should: be able to measure the electrical/electromagnetic properties of different types of materials; be able to understand the relationship between the properties of material used for the sensor fabrication and the electromechanical response of sensor; be able to plan and follow key experimental steps in sensor development, from fabrication to characterization; be able to evaluate strength/weaknesses of different sensors; know the principles of operation and characteristics of instrumentation.
These objectives will be pursued through laboratory activities and experiences.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that found the atomistic simulations. The course is focussed on the main aspects of the classical models and the principal quantum models. Numerical laboratories and exercises will help the students to develop the needed technical skills.

Expected learning outcomes:

Knowledge and understanding (Dublin descriptor I)
At the end of the course the student will have the basic knowledge on the main atomistic simulations methods and techniques used to study, from an atomistic point of view, the nano-structures and systems of interest. They will then be able to understand the environment that surrounds it from the point of view of its microscopic and macroscopic structure. He will also be aware of the way the atomistic structure affects the materials properties and its relationship with other scientific disciplines and the need for continuous updating on the state of the art, due to the continuous progress of scientific knowledge and technology.

Applying knowledge and understanding (descriptor II)
At the end of the course of study the student will have developed the ability to understand the inner atomistic nature of some physical and chemical properties and their relations with the macroscopic properties of materials.

Making judgements (descriptor III)
At the end of the course the student will have to possess the tools to critically evaluate the limits of the different techniques and their potentiality.

Communication skills (descriptor IV)
At the end of the course the student must have acquired a good language property, especially with regards to a specific scientific terminology, so as to be able to clearly communicate their knowledge and conclusions to an audience composed from people with (or without) expertise in the field.

Learning skills (descriptor V)
At the end of the course the student must have developed a learning ability that will allow him to study and deepen the chemical aspects related to the field of nanotechnology in an autonomous way.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that found the atomistic simulations. The course is focussed on the main aspects of the classical models and the principal quantum models. Numerical laboratories and exercises will help the students to develop the needed technical skills.

Expected learning outcomes:

Knowledge and understanding (Dublin descriptor I)
At the end of the course the student will have the basic knowledge on the main atomistic simulations methods and techniques used to study, from an atomistic point of view, the nano-structures and systems of interest. They will then be able to understand the environment that surrounds it from the point of view of its microscopic and macroscopic structure. He will also be aware of the way the atomistic structure affects the materials properties and its relationship with other scientific disciplines and the need for continuous updating on the state of the art, due to the continuous progress of scientific knowledge and technology.

Applying knowledge and understanding (descriptor II)
At the end of the course of study the student will have developed the ability to understand the inner atomistic nature of some physical and chemical properties and their relations with the macroscopic properties of materials.

Making judgements (descriptor III)
At the end of the course the student will have to possess the tools to critically evaluate the limits of the different techniques and their potentiality.

Communication skills (descriptor IV)
At the end of the course the student must have acquired a good language property, especially with regards to a specific scientific terminology, so as to be able to clearly communicate their knowledge and conclusions to an audience composed from people with (or without) expertise in the field.

Learning skills (descriptor V)
At the end of the course the student must have developed a learning ability that will allow him to study and deepen the chemical aspects related to the field of nanotechnology in an autonomous way.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that found the atomistic simulations. The course is focussed on the main aspects of the classical models and the principal quantum models. Numerical laboratories and exercises will help the students to develop the needed technical skills.

Expected learning outcomes:

Knowledge and understanding (Dublin descriptor I)
At the end of the course the student will have the basic knowledge on the main atomistic simulations methods and techniques used to study, from an atomistic point of view, the nano-structures and systems of interest. They will then be able to understand the environment that surrounds it from the point of view of its microscopic and macroscopic structure. He will also be aware of the way the atomistic structure affects the materials properties and its relationship with other scientific disciplines and the need for continuous updating on the state of the art, due to the continuous progress of scientific knowledge and technology.

Applying knowledge and understanding (descriptor II)
At the end of the course of study the student will have developed the ability to understand the inner atomistic nature of some physical and chemical properties and their relations with the macroscopic properties of materials.

Making judgements (descriptor III)
At the end of the course the student will have to possess the tools to critically evaluate the limits of the different techniques and their potentiality.

Communication skills (descriptor IV)
At the end of the course the student must have acquired a good language property, especially with regards to a specific scientific terminology, so as to be able to clearly communicate their knowledge and conclusions to an audience composed from people with (or without) expertise in the field.

Learning skills (descriptor V)
At the end of the course the student must have developed a learning ability that will allow him to study and deepen the chemical aspects related to the field of nanotechnology in an autonomous way.

Educational objectives

The course provides the student with an adequate training support regarding numerical simulations to the finite elements with models of electronic device literature both for R & D needs and production processes of interest for electronic nanotechnologies.
During the course, adequate basic information is also provided on the main electrical characterization techniques on nanometer components integrated on wafers.
In particular, the course aims to provide the master's degree in industrial nanotechnology engineering with the necessary knowledge to enable him to choose the optimal electronic nanocaracterization techniques and methodologies within the processes and procedures that he will be called to define / design in the scope of his professional profile.

Educational objectives

The course provides the student with an adequate training support regarding numerical simulations to the finite elements with models of electronic device literature both for R & D needs and production processes of interest for electronic nanotechnologies.
During the course, adequate basic information is also provided on the main electrical characterization techniques on nanometer components integrated on wafers.
In particular, the course aims to provide the master's degree in industrial nanotechnology engineering with the necessary knowledge to enable him to choose the optimal electronic nanocaracterization techniques and methodologies within the processes and procedures that he will be called to define / design in the scope of his professional profile.

Educational objectives

The course provides the student with an adequate training support regarding numerical simulations to the finite elements with models of electronic device literature both for R & D needs and production processes of interest for electronic nanotechnologies.
During the course, adequate basic information is also provided on the main electrical characterization techniques on nanometer components integrated on wafers.
In particular, the course aims to provide the master's degree in industrial nanotechnology engineering with the necessary knowledge to enable him to choose the optimal electronic nanocaracterization techniques and methodologies within the processes and procedures that he will be called to define / design in the scope of his professional profile.

Educational objectives

The course is devoted to students who are interested in the application of novel photonic techniques for the fabrication integrated devices used in the life sciences field.

The course has three principal aims:
• To give a theoretical description of the basic phenomena governing the interaction of organic molecules and light, increasing the background knowledge that students acquired duoirng their basic physics courses;
• To show laboratory demonstrations of such phenomena by means of specifically prepared experiments, so as to put students in contact with the standard equipment used in optics and phtonics laboratories;
• To describe the principal techniques and the devices commonly used for the advanced study of biological systems.

The three aims will be pursued simultaneously during the course Trying to put into evidence the fundamental and applied characteristics of all phenomena.Skills to be acquired: The students who will overtake
the exam will posses knowledge on the basic phenomena governing the imaging techniques used in biology and the photonic techniques ruling commonly used bio-opto-photonic devices.

Educational objectives

The course introduces the basic principles of rheology and rheometry, both in rotational and oscillatory regime, with a special emphasis on smart fluid, in particular Electro-Rheological ones.

By the end of the course the student will be able to:
- Understand and apply mathematical models underlying the flow behavior of both an ideally viscous and visco-elastc fluid;
- Differentiate fluids, based on their rheological behavior;
- Design and conduct rheometric measurement on materials showing various rheological behavior;
- Understand potential applications of smart fluids in industry;
- Analyze and interpret experimental tests, based on raw data analysis;
- Develop and apply predictive models though software data processing (Matlab).

Educational objectives

Leading the student to the clearcomprehension of the ligth matter interaction in the optical frequency range. Providing physical understanding of the mechanisms by which is possible to realize miniaturized laser sources. Ability to correctly formulate a model to projcet and realize laser sources at the nanoscale.

Educational objectives

The objectives of the course are linked to the knowledge and use of electromagnetic fields for the design of applications and technologies that have medical uses in the order of magnitude of nanometers (1-100nm).

Educational objectives

The course provides theoretical elements for the study of kinematics and dynamics of rigid bodies, the mechanics of vibration of discrete and continuous systems, the analysis of deterministic and random signals in order to allow the student the correct design of micro-machines and micro-devices.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that are the basis of the atomistic simulations techniques and methods. The course is focused on the main aspects of the classical models with a brief mention to the quantum mechanical approaches.
Therefore the course is oriented to give the students introductory competences on the statistical physics and random and deterministic sampling techniques typical of practical schemes and methods of the atomistic approach to the statistical physics for nano-science and nanotechnology.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that are the basis of the atomistic simulations techniques and methods. The course is focused on the main aspects of the classical models with a brief mention to the quantum mechanical approaches.
Therefore the course is oriented to give the students introductory competences on the statistical physics and random and deterministic sampling techniques typical of practical schemes and methods of the atomistic approach to the statistical physics for nano-science and nanotechnology.

Educational objectives

The main purpose of the course is to transfer to the students the basic knowledge concerning the multidisciplinary topics that are the basis of the atomistic simulations techniques and methods. The course is focused on the main aspects of the classical models with a brief mention to the quantum mechanical approaches.
Therefore the course is oriented to give the students introductory competences on the statistical physics and random and deterministic sampling techniques typical of practical schemes and methods of the atomistic approach to the statistical physics for nano-science and nanotechnology.

Educational objectives

Aim of this course is getting to know the technologies to produce biocompatible nanomentric particles by using highly sustainable and maximally green processes which mainly resort to using naturally-sourced biological matrices.
The student will learn: 1. The main classes of biological substances, 2. The methodologies for obtaining these substances from natural biomass, 3. the methodologies for producing functional nanoparticulate from each of these classes of substances, 5. The main processes and equipment that implement these production processes. The student will also learn the main problems of biomedical and cosmetic use of nanotechnologies.

The student who will exhibit a regular attendance of the course will be able to participate in group work intended to develop and strengthen soft skills such as: the ability to work in a group, the ability to dialogue with colleagues from different backgrounds,the ability to write a scientific/technical report and the ability to present one's work.