Courses Description

Title: Electrochemistry
Teacher(s): Florence VACANDIO
Credits: 3

LEARNING OUTCOMES
The goal of this lecture is to acquire the basics of electrochemistry and electrochemical methods. Theses basics will help to describe the interest of electrochemistry in the field of nanoengineering through examples of electrochemical nanosynthesis, surface nanostructuration and electrochemical characterizations for analysis purposes, properties (electrochemical and others) determination.

KNOWLEDGE AND UNDERSTANDING
From this lecture, the student should be able to explain theoretically the behaviour of simple electrochemical interface using the main model in thermodynamics and kinetics. They will also acquire the basic knowledge about the experimental implementation of the main electrochemical techniques that can be used as characterization tool in general or more specifically in nanomaterials. The basics of electrochemical experiment will be applied during a practical session.

LEARNING SKILLS
Students will be able to understand the main principles of electrochemistry and apply them to nanomaterials (synthesis and characterization)

PREREQUISITES
General chemistry.

TOPICS
1/ Electrochemistry basics: thermodynamics and kinetics applied to electrochemistry
2/ Experimental approach of electrochemistry: steady state and transient methods (voltametry, chronopotentiometry, chronoamperometry, pulse methods…), electrochemical impedance spectroscopy.
3/ Application to the synthesis and characterization of nanomaterials (nanoparticles, nanostructured surfaces…)

EVALUATION
written exam

ADOPTED TEXTS
BARD / ALLEN : Electrochemical Methods: Fundamentals and Applications
Pierre FABRY : Electrochemistry: The Basics, With Examples

TEACHING METHODS
Courses and exercises. Practical session in laboratory.

Title: Computational modeling of nanosystems
Teachers: Prof. Mario Barbatti (Masterclasses, Tutorials, Practical Works) and Dr. Vijay Chilkuri (Practical Works)
Credits: 7

LEARNING OUTCOMES
The course aims to provide the basic methodology for computer modeling in chemistry. It surveys the main aspects of the three large areas enabling molecular modeling: quantum mechanics, classical mechanics, and statistical mechanics.
Upon completing this course, students will be able to recognize the main algorithms employed in a theoretical research paper and apply basic methods for the computational modeling of nanosystems.

KNOWLEDGE AND UNDERSTANDING
The course focuses on an overall understanding of multiple methodologies. It aims to foster a general scientific culture embracing physics and chemistry, from their fundamentals to applications.

LEARNING SKILLS
The course stimulates critical thinking, note-taking, problem-solving, information literacy, organization, and communication.

PREREQUISITES.
General Physics, introductory molecular chemistry

TOPICS
I – Quantum mechanics

• Introduction to quantum mechanics and Born-Oppenheimer approximationù
• Quantum chemistry
• Beyond Born-Oppenheimer approximation
• Quantum mechanics in context

II – Classical mechanics

• Newton’s laws
• Molecular mechanics: normal modes
• Molecular mechanics: dynamics
• Hamilton and Lagrange formulations and mixed quantum-classical dynamics

III – Statistical mechanics

• Principles of statistical mechanics
• Monte Carlo algorithms, sampling techniques, and rates
• Fourier transform and spectrum simulations
• Machine learning

EVALUATION
The evaluation is based on three tasks assigned to practical works:

• Writing a short literature review
• Writing a molecular dynamics program
• Presenting a seminar

TEACHING METHODS
The course comprises three parts, each with four masterclasses followed by tutorials and practical work sections.

MORE INFORMATION
https://barbatti.org/molecular-modeling

Title: Basic Quantum Chemistry Modelling
Teacher(s): Denis Hagebaum-Reignier and Stéphane Humbel
Credits: 3 ECTS

LEARNING OUTCOMES
The main goal of this course is to learn how to run a quantum chemical calculation and analyze its output. In order to achieve this, students will learn a) the underlying concepts of the different families of quantum chemical methods, b) how to prepare the input of – and run a quantum chemical calculation c) how to extract and analyze the useful information from the output of the calculation.

KNOWLEDGE AND UNDERSTANDING
The students should understand the differences between the major classes of modeling methods: classical (molecular mechanics, MM), quantum (ab initio and semi-empirical wave-function methods, density based methods), mixed classical-quantum methods. They should then be able to critically choose the appropriate theoretical method for the characterization of structural, energetic and spectral properties of the system of their choice. They should understand what information geometry optimization and frequency analysis provide and how to use this information to characterize reaction pathways.

LEARNING SKILLS
At the end of the class, the student should able to:

• Suggest an appropriate quantum chemical method to characterize given molecular properties
• Practically run a quantum mechanical calculation, analyze the results and compare with experimental data
• Use simple models to characterize some properties from quantum chemical calculations
• Read and understand theoretical studies in the literature
• Write a report in scientific format

PREREQUISITES
Basic knowledge in molecular chemistry, quantum mechanics and mathematics.

TOPICS

1. Short review of molecular modelling methods, their pros and cons
2. The concept of potential energy surfaces (PES) : stationnary points, gradient vector, Hessian matrix, minimum energy path, intrinsic reaction coordinates.
3. What is needed in an input of a quantum chemical calculation? z-matrix, spin multiplicity, basis set, geometry optimization, frequency calculations, specific molecular properties.
4. Use of quantum chemical software and a graphical interface. The students will gain hands-on experience with performing quantum chemical calculations, and analyzing the results for selected topics that are representative of the use of quantum modelling in the understanding of chemistry:
   1. Energy of the H-atom with different Gaussian basis sets
   2. Build a molecule with a graphical interface and run a simple quantum chemical calculation
   3. Determination of a reaction pathway
   4. Aromaticity in polycyclic aromatic hydrocarbons
   5. Homodesmic reactions, application to ring strain and steric effects

EVALUATION

• Type:  practical and written examination
• Description:  The practical examination consists of an evaluation of the ability to perform calculations applied to various topics and an evaluation of a written report in a scientific format. The final assessment consists on a written exam on the theoretical concepts and practical tools learned throughout the course.

ADOPTED TEXTS
Computational chemistry : introduction to the theory and applications of molecular and quantum mechanics, E.G.Lewars, Springer

TEACHING METHODS
The course is delivered through the following learning activities.

1. Attendance of lectures where course material is presented through slides, worked examples, and demonstrations.
2. Attendance of exercises and practicals where students perform and discuss exercises as part of their formative assessment.
3. Read specific chapters of an accompanying textbook and discuss and/or ask questions about some key concepts in these chapters.
4. Completion of online quizzes and problems that are designed to give students further practice in the application of course material, as well as feedback on their understanding.

Title: Thermodynamics of Materials
Teacher: Philippe Knauth
Credits: 3 (24 h lectures/exercises, 3 h practice)

LEARNING OUTCOMES
The course aims to provide students the basic knowledge to understand the equilibrium properties of nanomaterials.

KNOWLEDGE AND UNDERSTANDING
The students should be able to apply equilibrium thermodynamics, including elementary phase diagrams, understand bonds in solids and use defect engineering for the tuning of properties of solids.

LEARNING SKILLS
Understanding the relations between thermodynamic properties of materials, bond types and crystal defects. Quantitative understanding of the interaction energies between atoms/ions and molecules at the nanoscale. Theory of crystal defects and defect engineering

PREREQUISITES.
The course starts with a crash course on basics of thermodynamics in order to bring students of various backgrounds to a common level.

TOPICS

1. Fundamental laws of chemical and materials thermodynamics (principles, state functions, chemical potential, reference states, activity…). Nanosize effects, Gibbs-Thomson equation, fluctuations
2. Elements on phase diagrams: Gibbs phase law, lever rule, unary, binary and ternary diagrams. Types of binary phase diagrams: complete miscibility, eutectic, ordered compound. Relation with chemical potential curves (common tangent method). Ideal and regular mixtures
3. Basic theory of bonds and modeling of interactions: quantitative understanding of the different bond types (molecular, ionic, covalent and metallic and how the interactions between atoms/ions and molecules can explain materials properties and interesting phenomena at the nanoscale (quantum size effects, wetting, self-assembly…)
4. Crystal defects: point defects, dislocations, surfaces and interfaces, defect engineering

EVALUATION

• Type: written exams
• Description: an intermediate written exam at about half of the course (25% of the final grade) and a final written exam (75 % of the final grade)

ADOPTED TEXTS

1. M. Lindsay, Introduction to Nanoscience, Oxford Univ. Press, 2010. Good overview of the field, although some elements are a bit superficial.
2. Maier, Physical Chemistry of Solids, Wiley, 2004. The “bible” of defect chemistry and defect engineering.
3. West, Solid State Chemistry and its Applications, Wiley, 1987. Classical textbook, especially on experimental aspects of thermodynamics.

TEACHING METHODS
Integrated lectures and exercises.
Laboratory practice session in 2 groups (thermogravimetric analysis of an ion-conducting polymer)

Title: Nano-Engineering Seminar + Project
Teacher(s): prof. Bogdan Kuchta, prof. Lucyna Firlej
Credits: 2

LEARNING OUTCOMES
The course “Nano-engineering Seminar + Project” is conceived as a forum of exchange for new ideas emerging from the literature and lectures.
The goal is to teach students to work on project, to present its outcome correctly and to be able to defend it. In addition a revision session, where students can express their potential problems and discuss them with other students, under the professor/tutor guidance is planned.

KNOWLEDGE AND UNDERSTANDING
To integrate knowledge and handle complexity, and formulate judgments in situations characterized by incomplete or limited information,

LEARNING SKILLS
Assure an interdisciplinary training in the field of nano-engineering, which includes a profound understanding of the chemistry and the methods of synthesis and characterization of nano-materials and nano-systems.

PREREQUISITES.
Basic physics, inorganic and organic chemistry.

TOPICS

1. Introduction to nanoengineering; nanoscale fabrication: nanolithography and self-assembly;
2. Characterization tools; nanomaterials and nanostructures: nanotubes, nanowires, nanoparticles, and nanocomposites;
3. Nanoscale and molecular electronics; nanotechnology in magnetic systems; nanotechnology in integrative systems;
4. Nanoscale optoelectronics; nanobiotechnology:
5. Biomimetic systems, nanomotors, nanofluidics, and nanomedicine.
6. Synthesis techniques, processes, microstructural control, and unique physical properties of materials in nanodimensions.
7. Nanowires, quantum dots, thin films, electrical transport, electron emission properties, optical behavior, mechanical behavior, and technical applications of nanomaterials
8. Quantum mechanics in nanoelectronics. Wave mechanics, the Schroedinger equation, free and confined electrons, band theory of solids.
9. Nanosolids in 0D, 1D, and 2D. Application to nanoelectronic devices
10. Chemical principles involved in synthesis, assembly, and performance of nanostructured materials and devices.
11. Chemical interactions, classical and statistical thermodynamics of small systems, diffusion,
12. Carbon-based nanomaterials, supramolecular chemistry, liquid crystals, colloid and polymer chemistry, lipid vesicles, surface modification, surface functionalization, catalysis.
13. Principles of biochemistry tailored to nanotechnologies.
14. The structure and function of biomolecules and their specific roles in molecular interactions and signal pathways.
15. Nanoscale detection methods.
16. Understanding nanotechnology, broad implications, miniaturization: scaling laws; nanoscale physics.

EVALUATION

• Type: written examination; project evaluation.
• Description: Training will be completed by projects and specific seminars. The assessment will take place through oral tests and project reports.

ADOPTED TEXTS
Current literature

TEACHING METHODS
Seminar
Group project

Title: Biomaterials – Biomedical Devices
Teacher(s): dr hab. inż. Joanna Cabaj
Credits: 3 ECTS

LEARNING OUTCOMES
By the end of the course the students will be able to determine the biological performance of materials.
By the end of the course the students will be able to classify the structural aspects of biomaterials.
By the end of the course the students will be able to list and describe elements of designing of biomaterials for the human body.

KNOWLEDGE AND UNDERSTANDING
The students should understand the idea of engineering of materials for the human body.

LEARNING SKILLS
Understanding the relations between structure and applicability of biomaterials.

PREREQUISITES
Basic knowledge in the field of inorganic, analytical, physical, organic chemistry and physics.
Basic knowledge in the field of analytical techniques.

TOPICS

1. Biological Performance of Materials
2. Advanced Structural Aspects of Biomaterials
3. Polymer Engineering
4. Basic Principles of Drug Delivery
5. Nanomaterials in Medicine
6. Micro/Nanofluidics for Bioengineering & Lab-on-a-Chip
7. Advanced Designing for the Human Body
8. Biological Performance of Materials (students presentations)
9. Micro/Nanofluidics for Bioengineering & Lab-on-a-Chip – construction of glucometer (laboratory)

EVALUATION
Lecture – Written examination with open-ended questions using quick-win method (when students have prepared questions, the teacher chooses to randomly select a few questions and use them for exam).
Seminar – Co-assessment (teacher assessment using rubrics and peer assessment using rubrics). Particular rubric positions are agreed between students and teacher during the first class.

ADOPTED TEXTS
Handbook of Materials for Medical Devices, ASM International, 2003
Biomaterials Science, RSC, 2001-2020
Nature, The International Journal of Science, 2001-2020

TEACHING METHODS
T1. Lecture with presentation software (Prezi, PowerPoint) with element of active learning (quick-win method).
T2. Seminar classes – students’ presentations (presentation software – i.e. Prezi, PowerPoint, videos, poster) as a result of their independent work (may be in groups).
T3. Laboratory classes – performing of experiments.
T4. Laboratory classes – preparation of the reports.

Title: Biophotonics
Teacher(s): Katarzyna Matczyszyn
Credits: 2 ECTS

LEARNING OUTCOMES
After completing the course the student:
Has ordered, theoretically founded general knowledge covering key issues in the field of biophotonics
Knows new methods of synthesis of materials for biophotonics
Is familiar with modern methods of material characterization for biophotonics
Knows the basic methods of functionalization of materials for biophotonics
Understands and is able to explain the descriptions in biophotonics
Knows and understands selected applications of materials for biophotonics
Knows and understands the perspectives and threats related to the synthesis and application of materials for biophotonics
Knows modern methods of photodynamic therapy
Has knowledge of the toxicity of nanobiomaterials
Knows the use of DNA in biophotonics
Is familiar with the new methods of biosynthesis of nanomaterials
Knows popular biopolymers and their applications
Has knowledge of photonic biocrystals

KNOWLEDGE AND UNDERSTANDING
The students should understand the light-matter interaction

LEARNING SKILLS
Understanding the relations between light-mater interactions with  application in modern medicine, biology, technology

PREREQUISITES.
Basis of biology, physics and chemistry with the special emphasizing on the physical chemistry

TOPICS
Fundamentals of light-matter interactions.
Principles of Lasers, Current Laser Technology and Nonlinear Optics
Bioimaging – principles, techniques and applications
Principles of  biosensors
Plasmonic nanoparticles for cancer detection and treatment
Light activated therapy – photodynamic therapy
Photonics biocrystals
Biocompatible materials for photonics – 3-D printing of new biomaterials.

Seminars subjects
Bioimaging in therapies
Biosensors in practice
Plasmonic nanoparticles for cancer detection and treatment
Photodynamic therapy
Photonics crystals in nature
Advances in 3-D printing for medicine
Biomaterials for photonics
Nonlinear bioimaging

TEACHING METHODS Lectures, seminars, discussions, students preparations of the seminars

EVALUATION

• Type: .Seminar given by the students
• Description:  Preparation of the presentation, discussions in the group

ADOPTED TEXTS

• Paras N. Prasad, Nanophotonics, Wiley-Interscience, 2004
• Paras N. Prasad, Introduction to Biophotonics, 2004
• Challa Kumar, Nanomaterials for Medical Diagnosis and Therapy, Wiley, 2007
• Yoon Yeo, Nanoparticulate drug delivery systems : strategies, technologies, and applications, Wiley, 2013
• Abdel-Kader, Mahmoud H. (Ed.), Photodynamic Therapy: From Theory to Application, Springer Nature, 2014
• Deepak Kalaskar (Ed.), 3-D printing in medicine, Woodhead publishing, 2017

Title: Engineering of Nanomachines
 Teacher(s): prof. Szczepan Roszak, dr E. Zienkiewicz
Credits: 2

LEARNING OUTCOMES
Relating to knowledge a person who passed the subject:
knows fundamentals of structure and thermodynamics of molecules,
knows fundamentals of the description of artificial molecular machines,
knows fundamentals of the functioning molecular machines,
Relating to skills a person who passed the subject can solve elementary structural and thermodynamics problems related to Artificial Molecular Machines, can select MM according to required application.

KNOWLEDGE AND UNDERSTANDING
It is required to be able to read and understand scientific publications for dissemination or research, usually in English. To be able to connect the different topics (interrelated between them) discussed during the course. To apply theoretically and practically, the concepts acquired during the course.

LEARNING SKILLS
It is required to be able to read scientific texts in English. To understand graphs and scientific figures. To know how to select and correlate topics.

PREREQUISITES.
Elemental mathematics: Analysis, algebra
Elemental physics: General physics
Elemental chemistry: General chemistry, organic chemistry, quantum chemistry

TOPICS
Elements of molecular structures related to Molecular Machines (MM)
Laws of thermodynamics. Entropy, free energy and free enthalpy.
Potential energy surfaces,  External potential and MM interactions
Thermal fluctuations. Ratchet and Brownian machines.
Rotaxanes. Molecular shuttles.
Molecular switches.
The power sources for artificial molecular-level machines.
Applications of MM.
Mechanically interlocked molecules. Mechanical bonds versus covalent bond.
Molecular pump.
From molecular shuttle to switches.
Unidirectional transport.
Motors and car race.
Nano-molecular machines powered by light.
Nano-molecular machines powered by chemistry.
Surface nanomachines.

EVALUATION

• Type: Oral examination, preparation of short written opinions of selected subjects. and individually prepared presentation on selected subject.
• Description: The final examination consists written questions regarding the entire program. The presentation is based on scientific review papers on the subject and own ideas related to the subject.

ADOPTED TEXTS

PRIMARY LITERATURE:

• Peter Atkins, Julio De Paula, “Atkins’ Physical Chemistry”, Eighth edition, Oxford University Press, Oxford 2006
• Collection of scientific journal papers

SECONDARY LITERATURE:
NIST WebBook – Chemistry

TEACHING METHODS
Lecture: multimedial presentations, discussions
Seminar: a set of problems, presented to the students for individual elaboration and discussed during the seminar

Title: Fabrication of “Smart” Polymers
Teacher(s): Prof. Andrzej Trochimczuk (lecture), Dr. Anna Jakubiak-Marcinkowska (laboratory)
Credits: 3

LEARNING OUTCOMES
The course aims are: to provide the general knowledge of polymerization reactions; types of polymerization processes; relationships between polymerization conditions and structure as well as physicochemical properties of obtained materials. Give the knowledge about latest achievements in the field of smart polymer. Experimental part of the course aims to acquaint students with some practical aspects of polymerization (selected methods, polymerization mixture composition, reaction parameters, preparation procedures) important for fabrication of polymers with designed properties.

KNOWLEDGE AND UNDERSTANDING
Student, who completes the course will gain knowledge of structure and techniques of various polymers synthesis for special applications. Should also understand relationships between polymers structure, properties and applications of the materials. Should be able to analyse scientific papers and laboratory reports.

APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student can evaluate the basic parameters of synthesis influencing polymer structure and morphology to design polymerization process for fabrication of final products.

LEARNING SKILLS
Lectures supported by experimental part should help students to select and apply basic methods and techniques of polymer synthesis to obtain materials having designed properties. Students should learn how to critically analyze of scientific information for evaluation of crucial parameters of experiments.

PREREQUISITES.
Basic knowledge of organic and inorganic chemistry. Basic laboratory skills and ability for teamwork.

TOPICS
Basic information about polymers and their synthesis techniques;
Special types of polymerizations (ROMP, ATRP etc.) used for control of reaction kinetics, polymers topology and their physical properties;
Physical means of controlling the properties of polymers and “plastics”;
Thermosensitive polymers and their applications;
Organizing the polymer architecture around template – Molecularly Imprinted Polymers (MIP), their applications in separation science and catalysis;
Polymeric carriers for biomolecules – their properties and requirements towards carrier-enzyme system;
Synthetic polymers for solid phase syntheses, polymeric scavengers;
Ion-exchangers and their applications (ion-exchange, catalysis) – ion-exchange chromatography, separation of amino acids;
Polymeric fibres and membranes for separation processes (also hybrid materials);

EVALUATION

• Type: summary reports, colloquium and written exam
• Description:  The assessment of the experimental part of the course will contribute to the practical skills of student, the gained knowledge (colloquium presenting, the analytical approach of candidates to given problems) and ability of critical analysis of obtained results (reports containing detailed analysis of properties in relation to polymer structure and synthesis method). In the final written exam general questions will be asked about the theory from the smart polymers field. The minimum examination pass mark is 53 %.

ADOPTED TEXTS
Slides and instructions provided by teachers.

TEACHING METHODS
During classes different teaching approaches will be used:

• lectures with multimedia presentations and discussion about given problems
• practical work with different laboratory equipment and instruments requiring some basic self-study and active attitude of students during experiments
• preparation of report including analysis and interpretation of obtained results

DELIVERY MODE
Presence.

BIBLIOGRAPHY

1. M. Chanda, S.K. Roy, ”Industrial Polymers, Specialty Polymers, and Their Applications”, Boca Raton, CRC Press/Taylor & Francis Group, 2009.
2. F. Mohammad (Ed), “Specialty Polymers: Materials And Applications”, I. K. International Pvt Ltd, Anshan Ltd, Tunbridge Wells, 2007.
3. L.H. Sperling, “Introduction to Physical Polymer Science”, 4th ed., Hoboken, NJ, John Wiley & Sons, 2006.
4. F. Billmayer, “Textbook of Polymer Science”, 3rd ed., New York [etc.], John Wiley & Sons, 1984.
5. K. Dorfner (Ed.), “Ion exchangers”, Walter de Gruyter, New York, 1991 (or later editions).
6. M. Komiyama, T. Takeuchi, T. Mukawa, H. Asanuma, „Molecular Imprinting: From Fundamentals to Applications”, Weinheim, Wiley-VCH 2003.
7. R.M. Ottenbrite, K. Park, T. Okano (Eds.), “Biomedical Applications of Hydrogels Handbook”, Springer Science & Business Media New York, 2010.
8. R. Barbucci (Ed.), ”Hydrogels. Biological Properties and Applications”, Springer-Verlag Italia, Milan 2009.
9. N.R. Cameron, D.C. Sherrington, “High internal phase emulsions (HIPEs) — Structure, properties and use in polymer preparation”, in: Biopolymers Liquid Crystalline Polymers Phase Emulsion, Advances in Polymer Science, vol 126, Springer, Berlin, Heidelberg 1996.

Title: Structure and Crystallography of Solids
Teacher(s):
Lectures: prof. Ilona Turowska-Tyrk (ilona.turowska-tyrk@pwr.edu.pl)
Classes: dr. Krzysztof Konieczny (krzysztof.konieczny@pwr.edu.pl)
Credits: lectures – 4, classes – 2

LEARNING OUTCOMES
The students will become familiar with the structure and modern methods of studying macro-, micro-, nano- and quasicrystals. They will know the relationships between crystal structures and diffraction patterns. They will understand information in crystallographic papers.

KNOWLEDGE AND UNDERSTANDING
The students will know and understand:

1. The structure, symmetry and diffraction of macro-, micro-, nano- and quasicrystals.
2. The international symbols of space groups and point groups and the graphical representation of space groups.
3. The basics of crystal engineering.
4. The relationships between diffraction patterns and crystal structures.
5. The modern methods of research on crystals, including X-ray structure determination.
6. The directions of development of crystallography.

LEARNING SKILLS 
The students will have skills of:

1. Determining graphical representation of space groups and using International Tables for Crystallography.
2. Searching information in Cambridge Structural Database.
3. Interpreting symmetry of diffraction patterns.
4. Studying scientific papers on crystal structures and evaluating crystallographic data.

SOCIAL COMPETENCES
The students will be able to take part in discussions on crystallography.

PREREQUISITES
General knowledge of mathematics, physics and chemistry.

TOPICS

1. The current definitions of crystals and crystallography. The internal structure of crystals. Crystal systems and their definition. Space groups: international symbols and graphical representations.
2. The relationships between an internal structure and external crystal appearance. Crystal classes: international symbols.
3. The basics of crystal engineering. Cambridge Crystallographic Database and its applications.
4. Synchrotron radiation: sources, properties, applications.
5. Diffraction: factors influencing the intensities of reflections.
6. Diffraction patterns: the determination of centrosymmetry, crystal systems and space groups.
7. The X-ray structure analysis of single crystals: a phase problem and its solution.
8. The internal structure of nanocrystals vs micro- and macrocrystals. External appearance. Properties. Diffraction in nanocrystals: broadening and shifting peaks in powder diffraction patterns. Apparent lattice parameters: determination and influencing factors.
9. Neutronography and electronography vs Applications.
10. Quasi crystals: internal and external structures, properties.
11. Crystallographic information in scientific papers.

EVALUATION
lectures – written exam  classes – written test. The students will have two parts of the exam: in the middle and at the end of the semester.

ADOPTED TEXTS

1. Slides and figures provided by the teachers.
2. Luger, Modern X-Ray Analysis on Single Crystals, de Gruyter, Berlin, 2014.
3. International Tables for Crystallography, Volume A, Springer, 2005; Willey 2016.
4. J. D. Tilley, Crystals and Crystal Structures, John Wiley & Sons Ltd, Chichester, 2006.
5. Giacovazzo, H. L. Monaco, G. Artioli, D. Viterbo, G. Ferraris, G. Gilli, G. Zanotti, M. Catti, Fundamentals of crystallography, C. Giacovazzo Ed., Oxford, 2011.

DELIVERY MODE
Presence

TEACHING METHODS

1. Lectures with multimedia presentations and a blackboard.
2. Classes with models, International Tables for Crystallography and Cambridge Structural Database (using PC).

Title: Synthesis and Fabrication of Nano-engineering Systems (Nanochemistry – chemical carriers and bioorganic mimetics)
Teacher(s): Prof. Piotr Młynarz
Credits: 3

LEARNING OUTCOMES
The course aims to provide the knowledge about bioorganic chemistry carriers and mimetic systems for different purposes including pharmacy, catalysis, nanotechnology and engineering.

KNOWLEDGE AND UNDERSTANDING
The students should understand the relationship between natural biochemical systems, their designing and utilization.

LEARNING SKILLS
Understanding the relations between the natural biochemical systems and their mimetics including: proteins, peptides, DNA, RNA, carbohydrates, lipids, porphyrins and artificial binding systems cyclodextrins, cyclophanes, calixarenes and liposomes.

PREREQUISITES.
There are no formal prerequisites, however it is appropriate that students should have a good knowledge of Chemistry.

TOPICS

1. Biochemical basics
2. Organic chemistry basics
3. Proteins – structure, functions and their mimetics
4. DNA, RNA – structure, functions and their mimetics
5. Carbohydrates – structure, functions and their mimetics
6. Lipids – structure, functions and their mimetics
7. Porphyrins – structure, functions and their mimetics
8. Artificial carrier system cyclodextrins, cyclophanes, calixarenes and liposomes

 EVALUATION

• Type: .Oral presentation
• Description:  During the exam three questions will be asked concerning the topics described and discussed during the lectures

ADOPTED TEXTS

TEACHING METHODS
Multimedia presentation basing on actual knowledge.

Title: Computer Modeling Of Nanostructures
Teacher(s): Prof. Robert Zaleśny, Dr. Łukasz Radosiński
Credits: 5

LEARNING OUTCOMES
The course aims to provide a basic concepts and theories regarding modern computational modeling techniques used in the design and characterization of nanostructures. Two major approaches will be presented during the course, namely quantum mechanics and classical atomistic models like molecular dynamics and Monte Carlo. The potential of these tools will be demonstrated by computer modeling of properties of several interesting classes of nanostructures. Students will be assigned individual computational projects regarding design of nanostructures with tailored properties for potential applications in science and industry.

KNOWLEDGE AND UNDERSTANDING Students should: i) understand the fundamental concepts of computational techniques used in modeling of nanostructures, ii) gain basic knowledge of computational quantum chemistry and classical molecular dynamics, iii) know how to select the proper computational technique  for modeling of nanostructures, iv) understands the need to inform the public about the importance of nanoengineering.
Through a series of computer laboratory sessions they should also be able to:

• effectively work in the high-performance computing center environment,
• efficiently run quantum-chemistry and molecular-dynamics programs,
• analyze the results of quantum-chemistry and molecular-dynamics simulations.

LEARNING SKILLS
Ability to read scientific texts in English and to communicate scientific information.

PREREQUISITES
Basic knowledge of chemistry and physics.

TOPICS
Quantum chemistry
Applications of computational quantum chemistry in modeling of nanostructures – an overview.
The basics of molecular quantum mechanics. Hartree-Fock self-consistent-field method. Density functional theory. Kohn-Sham method. Time-dependent density functional theory: formalism and applications. Gaussian basis sets for molecular calculations. Methods to account for environmental effects. Electron correlation: Møller-Plesset perturbation theory, configuration interaction method, coupled-cluster theory.
Molecular dynamics
Fundamentals of molecular dynamic simulations. Thermostats and barostats. Force-fields.
Modeling and predicting transport, mechanical and energetic properties using molecular dynamics. Combining molecular dynamics with other modeling techniques including Monte Carlo and Coarse-Graining.
Applications
Modeling of excited states, light-driven molecular motors. Multiscale modeling in nanotechnology. Molecular machines and molecular dynamics. Tailoring properties of nanostructures for industrial applications.

EVALUATION

• Type: Written exam, individual computational project (design of nanostructures with tailored properties).
• Description: Written exam will allow to evaluate the knowledge regarding basic theories and concepts presented during lectures. Individual computational project will allow to assess the practical skills gained during computer lab sessions and the depth of understanding of the presented material.

ADOPTED TEXTS

• Ira N. Levine, „Quantum Chemistry”, 7th Edition, Pearson Education, 2014.
• Roos, R. Lindh, P. A. Malmqvist, V. Veryazov, P. O. Widmark, „Multiconfigurational Quantum Chemistry”, 1st Edition, Wiley, 2016.
• Koch, M. C. Holthausen, „A Chemist’s Guide to Density Functional Theory”, 2nd Edition, Wiley, 2000.
• Andrew R. Leach, Molecular Modelling: Principles and Applications, 2^nd Edition, Pearson Education, 2001
• Molecular Modeling for the Design of Novel Performance Chemicals and Materials, ed. By Rai Beena, CRC Press. 2012

TEACHING METHODS
Lectures with multimedia presentation. Hands-on sessions using computers. Each 2-3 computer sessions students will be asked to prepare short reports which will allow to monitor the learning process. Workshops where students will prepare short proposal for innovative product and study and tailor its properties using multiscale modeling techniques using state-of-the-art modeling software. Students will be able to visit companies specializing in application of nanotechnology in product creation to study practical application of computational methods.

Title: Nano-Engineering Seminar + Project
Teacher(s): prof. Bogdan Kuchta, prof. Lucyna Firlej
Credits: 2

LEARNING OUTCOMES
The course “Nano-engineering Seminar + Project” is conceived as a forum of exchange for new ideas emerging from the literature and lectures.
The goal is to teach students to work on project, to present its outcome correctly and to be able to defend it. In addition a revision session, where students can express their potential problems and discuss them with other students, under the professor/tutor guidance is planned.

KNOWLEDGE AND UNDERSTANDING
To integrate knowledge and handle complexity, and formulate judgments in situations characterized by incomplete or limited information,

LEARNING SKILLS
Assure an interdisciplinary training in the field of nano-engineering, which includes a profound understanding of the chemistry and the methods of synthesis and characterization of nano-materials and nano-systems.

PREREQUISITES.
Basic physics, inorganic and organic chemistry.

TOPICS

1. Introduction to nanoengineering; nanoscale fabrication: nanolithography and self-assembly;
2. Characterization tools; nanomaterials and nanostructures: nanotubes, nanowires, nanoparticles, and nanocomposites;
3. Nanoscale and molecular electronics; nanotechnology in magnetic systems; nanotechnology in integrative systems;
4. Nanoscale optoelectronics; nanobiotechnology:
5. Biomimetic systems, nanomotors, nanofluidics, and nanomedicine.
6. Synthesis techniques, processes, microstructural control, and unique physical properties of materials in nanodimensions.
7. Nanowires, quantum dots, thin films, electrical transport, electron emission properties, optical behavior, mechanical behavior, and technical applications of nanomaterials
8. Quantum mechanics in nanoelectronics. Wave mechanics, the Schroedinger equation, free and confined electrons, band theory of solids.
9. Nanosolids in 0D, 1D, and 2D. Application to nanoelectronic devices
10. Chemical principles involved in synthesis, assembly, and performance of nanostructured materials and devices.
11. Chemical interactions, classical and statistical thermodynamics of small systems, diffusion,
12. Carbon-based nanomaterials, supramolecular chemistry, liquid crystals, colloid and polymer chemistry, lipid vesicles, surface modification, surface functionalization, catalysis.
13. Principles of biochemistry tailored to nanotechnologies.
14. The structure and function of biomolecules and their specific roles in molecular interactions and signal pathways.
15. Nanoscale detection methods.
16. Understanding nanotechnology, broad implications, miniaturization: scaling laws; nanoscale physics.

EVALUATION

• Type: written examination; project evaluation.
• Description: Training will be completed by projects and specific seminars. The assessment will take place through oral tests and project reports.

ADOPTED TEXTS
Current literature

TEACHING METHODS
Seminar
Group project

Title: Economics and Management
Teacher(s): Prof. Dorota Kuchta
Credits: 5

LEARNING OUTCOMES
After a careful study during the course the students should be able to:
1. Identify the role of project, cost and value management in engineering.
2. Identify needs for new projects in engineering.
3. Prepare a correct project definition.
4. Prepare an adequate project schedule.
5. Apply relevant methods of project cost estimation.
6. Develop project budget.
7. Apply Activity-based Costing to projects.
8. Differentiate between direct and indirect and between variable and fixed project cost.
9. Determine profit.
10. Implement project risk management in relation to project value management.
11. Measure and evaluate project progress, performance and success.
12. Apply agile approach to project management.
13. Identify, analyse and manage project stakeholders and project benefits.
14. Manage and evaluate project cash flow in the context of project worth.

KNOWLEDGE AND UNDERSTANDING
Students acquire understanding and knowledge of: 1) fundamental project management methods (identification of project objectives, project defining, planning, controlling and evaluating) 2) fundamental cost accounting, and how they relate to the baseline discipline; 3) identifying needs for new projects in the baseline discipline; 4) defining projects in the baseline discipline; 5) identifying and analyse costs, profits and cash flows in the baseline discipline; 5) identifying and analyse risks in the baseline discipline; 5) preparing an application for project funding.
The teaching approach provides the foundation for this understanding, in such a way that at the end of the course students have assimilated a complete knowledge of the basic themes.

APPLYING KNOWLEDGE AND UNDERSTANDING
The goals of the course are to help the students to: i) actively and consciously participate in the implementation of projects in engineering, ii) identify needs for new projects in engineering, iii) actively search for funding for projects (participating in project calls) iv) actively evaluate and shape the relation between cost, risk and value in engineering, v) indicate sources of managerial problems vi) identify problems in management linked to human factor.

MAKING JUDGEMENTS
The training will enable the students to develop critical thinking with respect to the current situation in a given organisation: ask questions whether current projects are implement in an efficient way and are heading for success or for failure, whether the value of the projects implemented in the organisation is reconcilable with their cost and risk, whether the cost of processes and projects implemented in the organisation cannot be reduced without compromising the value delivered. The student will also be able to make a judgement which changes or innovations should be introduced in the organisation thanks to new projects. At the end of the course, students are therefore able to pose, refine and evaluate questions and formulate proposals with respect to managerial and financial matters in the given organisation, this being a fundamental objective both educational and cognitive.

COMMUNICATION SKILLS
Students develop the ability to present clearly what they have learned during the course and, in the same way, the additional knowledge gained from practical exercises, classroom exercises and textbooks. What is more, the students will work on small case studies of projects and processes in teams, being obliged to work out a common opinion on the value, riskiness or other features of a process or project. They will be asked to justify why they would recommend a project to be accepted or rejected. They will have to communicate in a written proposal why think a project is worth considering. The evaluation of the achievement of the communication skills is verified during classroom exercises, practical exercises, and written exams at the end of the course.

LEARNING SKILLS
Students will acquire the ability to expand their management and economics knowledge and understanding through additional reading or training and through team discussion, thanks to the fact that they will get to know basic managerial and economic notions and that they will get acquainted with managerial way of thinking. On these bases they will be able to connect and relate knowledge “across” the engineering and managerial domains.

PREREQUISITES
There are no mandatory prerequisites for this course.

TOPICS

• Projects and their characteristics
• Project objectives
• Project definition
• Project time estimation
• Project scheduling
• Project cost estimation
• Project budgeting
• Project risk management
• Project quality management
• Project control
• Project success evaluation
• Project benefits and value management
• Project stakeholders management
• Traditional versus Agile project management
• Cost, revenues, profit and cash flow definition
• Cost typology
• Activity-based Costing
• Capital budgeting
• Application for funding in calls for projects

EVALUATION

• Type: written, oral and practical examination.
• Description:  A series of written exercises and practical tests offers the teacher and students the opportunity to assess progress and understanding of students, during the course, before the final assessment. Team work during the course will applied and will be evaluated on the basis of oral presentations.

The final exam consists of a written test.
The written test is structured to: i) emphasize concepts and techniques acquired during the course; ii) request an explanation of the candidate’s reasoning; iii) allow sufficient time for most well-prepared students to complete each application; iv) use innovative types of questions that probe the depth of understanding.

ADOPTED TEXTS

• Kerzner, H. (2005). Project Management: A Systems Approach to Planning, Scheduling, and Controlling, John Wiley & Sons;
• Gray C.F., Larson E.W., Desai G.V. (2013), Project Management, MCGraw Hill;
• Venkataraman R., Pinto K.P. (2008), Cost and Value Management in Projects, John Wiley & Sons;
• Marshall, D. H. (1993). A survey of accounting: What the numbers mean. Irwin.

BIBLIOGRAPHY

• Wysocki R.K. (2014), Effective Project Management, John Wiley & Sons;
• PMI (2018), Project Management Body of Knowledge, Project Management Institute;
• Garrison R.H, Noreen E.W. (1994), Managerial accounting, Irwin;
• Kerzner, H. (2006). Project Management. Case studies. John Wiley & Sons;
• Moustafaev J. (2015), Project scope management, CRC Press;
• Smith J. (ed.) (2008), Engineering Project Management, Blackwell Publishing.

DELIVERY MODE
Presence.

TEACHING METHODS
The course is delivered through the following Learning Activities.

1. Attendance of lectures where course material is presented through discussions, worked examples, and demonstrations.
2. Attendance of exercises where students perform and discuss exercises as part of their formative assessment and solve problems in teams. These practices help students in consolidating the course material and provide a source of feedback on understanding.
3. Private study to review the course material presented in lectures, read the textbooks, and practice solving problems from textbooks, and other sources.

Title: CHARACTERIZATION OF NANO-ENGINEERING SYSTEMS

Teacher(s): Prof. Paolo Prosposito

Credits: 6

LEARNING OUTCOMES
The course aims to provide students with the fundamental notions of physical and chemical characterizations of nanomaterials and nanostructures. Different analysis techniques are highlighted such as optical microscopèy, electronic and contact microscopies, optical and infrared spectroscopies, XPS, Auger, SIMS, etc. A general overview of the radiation-matter interaction is also given. Students will also acquire practical skills thanks to some laboratories that will be carried out during the course.

KNOWLEDGE AND UNDERSTANDING
It is required to be able to read and understand scientific publications for dissemination or research, usually in English. To be able to connect the different topics (interrelated between them) discussed during the course. To apply theoretically and practically, the concepts acquired during the course.

APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course it is required to be able to illustrate the relevant points of the program in a concise and analytical manner with appropriate language. The use of a technical language appropriate to the subject is required. It is necessary to know how to analyze a problem / question and to know how to organize an adequate response justifying it. It is necessary to know how to reorganize and develop the experiments performed in the laboratory.

MAKING JUDGEMENTS
Students will be asked to motivate the tools and methodologies used for certain scientific experiences and be able to describe them and implement them even in different forms with respect to those described during the course. They have to be able to integrate explanations also with references to everyday life and they have to be able to provide links with what described and analyzed during the lessons. They are required to be able to abstract general concepts from particular cases.

COMMUNICATION SKILLS
They are required to be able to describe the topics covered during the course in a professional manner and with adequate language. They are required to be able to extract the important concepts and to illustrate them in a synthetic and punctual way by providing examples.

LEARNING SKILLS
It is required to be able to read scientific texts in English. To understand graphs and scientific figures. To know how to select and correlate topics.

PREREQUISITES

There are no mandatory prerequisites for this course. However, it is advisable for students to have good basic knowledge of Physics, Chemistry and Materials Sciences.

TOPICS
1. Relativistic dynamics; Atomic structure and transitions.
2. Radiation properties; Radiation – matter interaction.
3. X-ray photoemission spectroscopy (XPS), Auger electron spectroscopy (AES), Ultraviolet photoemission spectroscopy (UPS), electron energy loss spectroscopy (EELS): Principles and instrumentation.
4. Secondary ion mass spectrometry (SIMS): Principles and instrumentation.
5. Depth profiling and chemical imaging by using XPS, AES and SIMS techniques.
6. Practical applications of surface analysis techniques: examples and experimental tests in the laboratory.
7. Morphological characterization: Optical Microscopy, Atomic Force Microscopy (AFM), Scanning Tunneling Microscopy (STM), Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM). The instrumentations and the basic working principles of the different techniques will be illustrated.
8. Optical spectroscopy of nanostructures. The main optical techniques such as absorption, reflection and photoluminescence will be explained. The influence of the small dimensions of the nanostructures on the optical properties will be discussed.
9. Some practical applications will be carried on and some laboratory instrumentations will be shown.

EVALUATION

• Type: oral examination.
• Description:  The final examination consists in some oral questions regarding the entire program. Questions are often also on the laboratory experiences carried out during the lectures.
  The oral exam consists in three theoretical questions (each contributes with 10/30 to the final vote). The exam evaluates the overall preparation of the student, the ability to integrate the knowledge of the different parts of the program, the consequentiality of the reasoning, the analytical ability and the autonomy of judgment. Furthermore, language properties and clarity of presentation are assessed, in compliance with the Dublin descriptors (1. Knowledge and understanding; 2. Ability to apply knowledge and understanding; 3 . Making judgments; 4. Learning skills; 5: Communication skills).
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies and / or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgment skills, the arguments are presented in an inconsistent way and with inappropriate language,
  18-20: just sufficient knowledge and understanding of the topics with possible generalizations and imperfections; sufficient capacity for analysis, synthesis and autonomy of judgment, the topics are frequently exposed in an inconsistent way and with inappropriate / technical language,
  21-23: Routine knowledge and understanding of topics; ability to analyze and synthesize with sufficiently coherent logical argument and appropriate / technical language
  24-26: Fair knowledge and understanding of the topics; good analysis and synthesis skills with rigorously expressed arguments but with a language that is not always appropriate / technical.
  27-29: Complete knowledge and understanding of the topics; remarkable abilities of analysis and synthesis. Good autonomy of judgment. Topics exposed rigorously and with appropriate / technical language
  30-30L: Excellent level of knowledge and in-depth understanding of the topics. Excellent skills of analysis, synthesis and autonomy of judgment. Arguments expressed in an original way and with appropriate technical language.

ADOPTED TEXTS
J.F. Watts and J. Wolstenholme, An Introduction to Surface Analysis, Wiley, 2003; Y.-W. Chung, Practical Guide to Surface Science and Spectroscopy, Academic Press, 2001; Fundamentals of light microscopy and electronic imaging D. B. Murphy John Wiley and Sons (2001); Physical Principles of Electron Microscopy R.F. Egerton Springer (2005); Nanostructures and Nanomaterials: Synthesis, Properties and Applications G. Cao and Y. Wang World Scientific Publishing (2011).
Slides of the lessons.

DELIVERY MODE (Presence/e-learning)
Precence.

TEACHING METHODS
Frontal lessons with slides and with a continuous interaction with students. Laboratory lessons with direct participation of the students in the practical scientific experiences.

Title:  NANOSCALE SYNTHESIS METHODS

Teacher(s): Prof. Maria Luisa Di Vona

Credits: 5

LEARNING OUTCOMES
Knowledge to design the material properties starting from atomic and molecular structures. The main goal of this course is to to provide a comprehensive picture of the synthesis of inorganic and organic nanoparticles.

KNOWLEDGE AND UNDERSTANDING
Ability to design the properties of materials starting from the atomic and molecular structures;
Knowledge of advanced materials (polymeric, metallic, ceramic, composite and nanostructured) in terms of microstructure;
Knowledge and understanding of the most modern methods of organic and inorganic synthesis applied to nano-science;
Knowledge and understanding of the chemical and physical characteristics of the main materials.

APPLYING KNOWLEDGE AND UNDERSTANDING
Structure property correlations for materials.
Ability to select the most appropriate material for a specific application.
Ability to predict the degradation of a material in relation to the environment to which it is exposed.
Choice of the most suitable materials for the realization of a product in relation to its characteristics and the required application.

MAKING JUDGEMENTS
The ability to obtain and describe data resulting from experiments and analysis, in order to arrive at the formulation of an interpretative judgment on the results acquired;
The ability to collect and process technical and safety information, taking into account the chemical and physical properties of the material, including any specific risk.

COMMUNICATION SKILLS
The international environment in which the Master will take place will result in an increase in communication skills. Teaching includes oral exams (in English) and will train students to effectively support scientific discussions by improving their skills.

LEARNING SKILLS
This part of the training will be achieved through lectures supported by laboratory exercises. As part of the Master’s Degree program, the experimental laboratory activity is developed in order to provide a clear knowledge of implementation and application problems.Learning skills will be achieved throughout the course, with particular regard to the planned individual study and the activity carried out for the preparation of the final exam.

PREREQUISITES
There are no formal prerequisites, however it is appropriate that students have good
knowledge of basic inorganic and organic chemistry.

TOPICS
1. Nanoscale synthesis and bottom-up techniques
2. Advanced synthetic tools for the covalent assembly of building blocks in the preparation of molecular systems relevant in nanochemistry
3. Carbon-based nanomaterials
4. Sol-gel and colloidal chemistry
5. Applications of sol-gel chemistry
6. Nanoporous materials
7. Healt, safty and environmental issues

EVALUATION

• Type: oral examination.
• Description: The exam of NANOSCALE SYNTHESIS METHODS consists of three written tests and an oral examination. The written tests will take place respectively in the middle of the first part and at the end the two parts of the course.
  The oral test is optional for students who have passed the written tests and compulsory for all the others.
  The oral exam consists in three theoretical questions (each contributes with 10/30 to the final vote). The exam evaluates the overall preparation of the student, the ability to integrate the knowledge of the different parts of the program, the consequentiality of the reasoning, the analytical ability and the autonomy of judgment. Furthermore, language properties and clarity of presentation are assessed, in compliance with the Dublin descriptors (1. Knowledge and understanding; 2. Ability to apply knowledge and understanding; 3 . Making judgments; 4. Learning skills; 5: Communication skills).
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies and / or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgment skills, the arguments are presented in an inconsistent way and with inappropriate language,
  18-20: just sufficient knowledge and understanding of the topics with possible generalizations and imperfections; sufficient capacity for analysis, synthesis and autonomy of judgment, the topics are frequently exposed in an inconsistent way and with inappropriate / technical language,
  21-23: Routine knowledge and understanding of topics; ability to analyze and synthesize with sufficiently coherent logical argument and appropriate / technical language
  24-26: Fair knowledge and understanding of the topics; good analysis and synthesis skills with rigorously expressed arguments but with a language that is not always appropriate / technical.
  27-29: Complete knowledge and understanding of the topics; remarkable abilities of analysis and synthesis. Good autonomy of judgment. Topics exposed rigorously and with appropriate / technical language
  30-30L: Excellent level of knowledge and in-depth understanding of the topics. Excellent skills of analysis, synthesis and autonomy of judgment. Arguments expressed in an original way and with appropriate technical language.

ADOPTED TEXTS
Materials for engineers, W.F. Hosford, Cambridge 2008; Nanomaterials: An Introduction to Synthesis, Properties and Applications, D. Vollath, Wiley 2nd Edition, 2013.
Nanoscience and Nanomaterials: Synthesis, Manufacturing and Industry Impacts; Wei-Hong Zhong, Bin Li, Russell G. Maguire, Vivian T. Dang, Jo Anne Shatkin, Gwen M. Gross, Michael C. Richey DEStech Publications, Inc

Nanomaterials and Nanocomposites. Synthesis, Properties, Characterization Techniques, and Applications; R. Kumar Goyal, Taylor and Francis, 2017

DELIVERY MODE (Presence/e-learning)
Precence.

TEACHING METHODS
Lectures to the student audience concerning concepts and examples.
Laboratory experiment concerning issues linked to the information provided in the theoretical modulus.

Title: MACROMOLECULAR AND SUPRAMOLECULAR CHEMISTRY

Teacher(s): Prof. Gaio Paradossi

Credits: 5

LEARNING OUTCOMES
The aim of the course is to provide the general background on polymer and colloidal and “soft” materials needed for the understanding of phenomena and processes that students will encounter during their further studies or their future working actiivty. At the end of the course concepts such as the molecular weight distributions, step and chain polymerizations and the technology aspects, polymer solutions, gels and self assembly, experimental approaches to study polymer and self assembled materials, elastomers and mechanical behaviour of polymers, will be the knowledge background of the student in order to orient himself in future research topics and work issues.

KNOWLEDGE AND UNDERSTANDING
At the end of the course the student should know how to analyze the scientific literature at university level and the information contained in a laboratory report in the field of polymer and self assembly chemistry.

APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course the student should be able to understand and discuss in an organized way the logical steps in a problem solving activity in topics covered during the course, on the basis of the received concepts and information. Operative and conceptual aspects of the work and of the research will be managed in a critical and organized way.

MAKING JUDGEMENTS
One of the aims of the course is to raise a critical and independent approach in the reading of a scientific journal of the field or about a laboratory report, being able to work out connections and original logical steps

COMMUNICATION SKILLS
To master concepts worked out in thecourse is at the base of the ability to share such contents also in front of a not-specialized audience without loosing the logic and scientific rigor.

LEARNING SKILLS
At the end of the class, the student is able to handle the studied contents in order to understand actively future issues and therefore to progress toward more specialized knowledge.

PREREQUISITES

There are no mandatory prerequisites for this course. However, it is advisable for students to have good basic knowledge of Physical Chemistry (Thermo and Kinetics), Organic Chemistry, Elements of Spectroscopy.

TOPICS
Understanding basic concepts of Polymer Chemistry and self Assembly processes.
Ability to apply the knowledge worked out during the couse to the behaviour of polymeric materials. Ability to perform and understand experiments concernng polymer and self assembling materials and to treat data according to simple theoretical models.

EVALUATION

• Type: written examination.
• Description:Verification of the knowledge and skills acquired by the student on the topics covered by the program. The the final written tests will consist of questions related to the topics covered by the program of the course. The questions are aimed at ascertaining the student’s knowledge and his/her reasoning skills in making logical connections between the different topics.
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies in the knowledge and in the understanding of the topics; limited capacity for analysis and synthesis, frequent mistakes and limited critical and judgmental capacity, inconsistent reasoning, inappropriate language.
  18-21: the student has acquired the basic concepts of the discipline and has an analytical capacity that comes out only with the help of the teacher. The way of speaking and the language used are almost correct, though not precise.
  22-25: the student has acquired the basic concepts of the discipline in a discrete way; he/she knows how to disuss the various topics; he/she has an autonomous analysis capacity, while adopting a correct language.
  26-29: the student has a well-structured knowledge base. He/She is able to independently adopt a correct logical reasoning; notations and technical language are correct .
  30 and 30 cum laude: the student has a complete and in-depth knowledge base. The cultural references are rich and up-to-date, while being expressed by means of a brilliant technical language.

ADOPTED TEXTS
Slides provided by Professor.

P. J. Flory,
Introduction to Polymer Chemistry
Cornell University Press.

R.J. Young and P.A. Lovell
Introduction to polymers
CRC Editors.

Ian W. Hamley
Introduction to Soft Matter
Wiley.

BIBLIOGRAPHY

P. J. Flory,
Introduction to Polymer Chemistry
Cornell University Press.

R.J. Young and P.A. Lovell
Introduction to polymers
CRC Editors.

Ian W. Hamley
Introduction to Soft Matter
Wiley.

DELIVERY MODE (Presence/e-learning)
Precence.

TEACHING METHODS
Lectures to the student audience concerning concepts and examples (4 CFU).
Laboratory experiment concerning issues linked to the information provided in the theoretical modulus (1 CFU).

Title: NANOSCALE ENERGY TECHNOLOGY, NANO-SENSORS AND MICRO-FLUIDICS

Teacher(s): Prof. Mauro Chinappi. Prof. Antonio Agresti

Credits: 5

LEARNING OUTCOMES
The course provides an introduction to recent application of nanotechnologies to energy and sensors. The selected examples will mainly focus on nanotechnology for solar energy (photovoltaics) and the employment of nanofluidic systems for single molecule sensing and nanoporous membrane for energy harvesting from salinity gradients (blue-energy).

KNOWLEDGE AND UNDERSTANDING
For what concern the energy module, at the end of the course, the student will know the main features of a photovoltaic systems and the most modern technology for new generation photovoltaics. Concerning the nanofluidics module, the student will be able to understand the main phenomena related to the transport of mass and ions in electrolyte solutions.

APPLYING KNOWLEDGE AND UNDERSTANDING
The student will be able to recognize the range of validity of the various models proposed for the description of fluids at nanoscale. The student will be able to design and characterize a new generation solar cells. She/He will also be able to apply the knowledge and understanding developed during the course to study and understand recent literature.

MAKING JUDGEMENTS
The transversal preparation provided by the course implies: 1) the student’s capability to integrate knowledge and manage complexity, 2) the student ability to deal with new and emerging areas in nanotechnology application to energy and sensing and 3) an understanding of the models suited for a given context and their limitations.

COMMUNICATION SKILLS
The student will be able to communicate the contents of the course to specialists in a clear and unambiguous way. It will also be able to communicate the main features of the models used and their limits to specialists in other related disciplines (example: other engineers, physicists, chemists).

LEARNING SKILLS
The structure of the course contents, characterized by various topics apparently separated but connected by a multi-scale and multi-physics vision, will contribute to developing a systemic learning capacity that will allow the student to approach in a self-directed or autonomous way to other frontier problems on nanotechnology application to energy and sensing. Furthermore, the student will be able to read and understand recent scientific literature.

PREREQUISITES
It is necessary that the student is familiar with the differential and the integral analysis, with the basic aspects of mechanics and thermodynamics, with the main concepts of quantum mechanics.

TOPICS
Ion transport in nanopores
Ion motion in an electrolytic solution. Conductivity and conductance. Quasi-1D model. Access resistance. Application for nanopore sensing: blockade current.

Micro and nanofluidics
Equation of motion. Conservation of mass and momentum. Boundary conditions. Poiseuille flow. Slip boundary condition. Electrohydrodynamics. Transport equation for ions. Electic double layer. Debye length. Blue energy: from salinity gradient to electric energy.

Diffusion
Lagrangian and Eulerian description. Langevin equation. Fluctuation-dissipation relation.

Molecular dynamics simulations
Equation of motion for classical molecular dynamics. Force fields. Lennard-Jones potential. Simulation of biomolecules. Equilibration. Computational laboratory: system set-up and simulation using VMD and NAMD softwares.

NanoEnergy
General introduction on global energy demand focused on solar energy; Introduction on photovoltaics: the photovoltaic effect, p-n junction, main photovoltaic electrical parameters; solar cell characterization techniques; New generation photovoltaics: organic and hybrid devices; Organic solar cells;

Hybrid solar cells
Dye Sensitized solar Cells (DSCs) and modules; Perovskite Solar Cells (PSCs) and modules; Nanomaterials and bi-dimensional (2D) materials: properties and characterization techniques; Perovskite Photovoltaics and 2D materials: power conversion efficiency (PCE), stability and scalability on module dimensions.

EVALUATION

• Type: oral examination.
• Description:The student’s evaluation includes two tests, one for the micro and nanofluidic module and one for the solar energy module. The final evaluation will be obtained averaging the two tests.Micro and nanofluidics module.The exam is constituted by a written exam and by a discussion on a topic of independent study selected by the student. The aim of the written exam is to assess the student’s ability to integrate the various topics covered in different parts of the program and, where possible, to make quantitative estimates on specific cases. The student must demonstrate that she/he has understood the links between the various aspects covered in class and that she/he is able to motivate the choice of the models used (and to critically comment on their limits) according to the features of the problem under consideration.
  Concerning the discussion of a topic selected by the students, during the course, the teacher will provide a list of possible topics. The student will select a single topic that will be discussed during the exam. The discussion will allow us to evaluate the ability to learn independently and the communication skills developed by the student.

  Solar module:
  The examination consists in an oral discussion devoted to verify the capability in designing new generation photovoltaic devices with the help of modern nanotechnologies and nanomaterials. Moreover, during the examination students will ask to report about the most recent literature regarding the treated topics..

  The oral exam consists in three theoretical questions (each contributes with 10/30 to the final vote). The exam evaluates the overall preparation of the student, the ability to integrate the knowledge of the different parts of the program, the consequentiality of the reasoning, the analytical ability and the autonomy of judgment. Furthermore, language properties and clarity of presentation are assessed, in compliance with the Dublin descriptors (1. Knowledge and understanding; 2. Ability to apply knowledge and understanding; 3 . Making judgments; 4. Learning skills; 5: Communication skills).
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies and / or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgment skills, the arguments are presented in an inconsistent way and with inappropriate language,
  18-20: just sufficient knowledge and understanding of the topics with possible generalizations and imperfections; sufficient capacity for analysis, synthesis and autonomy of judgment, the topics are frequently exposed in an inconsistent way and with inappropriate / technical language,
  21-23: Routine knowledge and understanding of topics; ability to analyze and synthesize with sufficiently coherent logical argument and appropriate / technical language
  24-26: Fair knowledge and understanding of the topics; good analysis and synthesis skills with rigorously expressed arguments but with a language that is not always appropriate / technical.
  27-29: Complete knowledge and understanding of the topics; remarkable abilities of analysis and synthesis. Good autonomy of judgment. Topics exposed rigorously and with appropriate / technical language
  30-30L: Excellent level of knowledge and in-depth understanding of the topics. Excellent skills of analysis, synthesis and autonomy of judgment. Arguments expressed in an original way and with appropriate technical language.

ADOPTED TEXTS
Theoretical Microfluidics, Henrik Bruus, Oxford University Press (2008)
(notes of the course provided by the professors).

BIBLIOGRAPHY
M. San Miguel, and R. Toral. “Stochastic effects in physical systems” Instabilities and Non-equilibrium Structure VI, Springer, (2000).
Varongchayakul, N., Song, J., Meller, A., & Grinstaff, M. W. (2018). Single-molecule protein sensing in a nanopore: a tutorial. Chemical Society Reviews, 47(23), 8512-8524.
Sonali Das, Deepak Pandey, Jayan Thomas, and Tania Roy “The Role of Graphene and Other 2D Materials in Solar Photovoltaics”, Adv. Mater. 2019, 31, 1802722.
Philip Schulz, “Interface Design for Metal Halide Perovskite Solar Cells”, ACS Energy Lett. 2018, 3, 1287−1293.

DELIVERY MODE (Presence/e-learning)
Presence. The course is held by lectures including theory and exercises.

TEACHING METHODS
The course follows a traditional teaching model based on lectures and exercises. The introductory lessons will mainly be carried out on the blackboard, deriving the equations in a traditional and rigorous way. The rest of the course will also use presentations. The material will be published on-line typically before classes. As part of the study of Molecular Dynamics simulations, two lessons will be held in the computer lab where the students will set-up and equilibrate a system.

Title: STRUCTURAL AND FUNCTIONAL PROPERTIES OF BIOPOLYMERS

Teacher(s): Prof. Marco Sette

Credits: 3

LEARNING OUTCOMES
Ability to include the main structural and functional properties of biopolymer.

KNOWLEDGE AND UNDERSTANDING
Understanding of the chemical and physical principles that underlie structural motifs in biopolymers, as well as important techniques for their study.

APPLYING KNOWLEDGE AND UNDERSTANDING
Ability to apply the different knowledge learned during the lessons, as well as ability to discriminate between the best strategy to follow for a study project.

MAKING JUDGEMENTS
Ability to be independent in a scientific project by acquiring information from other related sectors.

COMMUNICATION SKILLS
Ability in the relationship with sectors of genetics, biochemistry and molecular biology to apply for suitable experiments.

LEARNING SKILLS
Ability to autonomously extend one’s own knowledge by using the suitable literature and to know how to move in sectors related to one’s own.

PREREQUISITES
Mathematical analysis, Physics and Chemistry.

TOPICS
Structural features and conformational equilibria of polypeptides, proteins, polysaccharides and nucleic acids.
Biopolymer-ligand interactions: equilibrium and kinetics aspects.
Biopolymers for polymer synthesis.
Self assembled systems of biopolymers: hydrogels and microgels.
Synthetic polymers with applications in biological environments.
Computed aided visualization of biological macromolecules.

EVALUATION

• Type: oral examination.
• Description:  he exam of Structural and functional properties of biopolymers consists of three written tests and an oral examination. The written tests will take place respectively in the middle of the first part and at the end the two parts of the course.
  The oral test is optional for students who have passed the written tests and compulsory for all the others.
  The oral exam consists in three theoretical questions (each contributes with 10/30 to the final vote). The exam evaluates the overall preparation of the student, the ability to integrate the knowledge of the different parts of the program, the consequentiality of the reasoning, the analytical ability and the autonomy of judgment. Furthermore, language properties and clarity of presentation are assessed, in compliance with the Dublin descriptors (1. Knowledge and understanding; 2. Ability to apply knowledge and understanding; 3 . Making judgments; 4. Learning skills; 5: Communication skills).
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies and / or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgment skills, the arguments are presented in an inconsistent way and with inappropriate language,
  18-20: just sufficient knowledge and understanding of the topics with possible generalizations and imperfections; sufficient capacity for analysis, synthesis and autonomy of judgment, the topics are frequently exposed in an inconsistent way and with inappropriate / technical language,
  21-23: Routine knowledge and understanding of topics; ability to analyze and synthesize with sufficiently coherent logical argument and appropriate / technical language
  24-26: Fair knowledge and understanding of the topics; good analysis and synthesis skills with rigorously expressed arguments but with a language that is not always appropriate / technical.
  27-29: Complete knowledge and understanding of the topics; remarkable abilities of analysis and synthesis. Good autonomy of judgment. Topics exposed rigorously and with appropriate / technical language
  30-30L: Excellent level of knowledge and in-depth understanding of the topics. Excellent skills of analysis, synthesis and autonomy of judgment. Arguments expressed in an original way and with appropriate technical language.

ADOPTED TEXTS
Slides provided by Professor.

Basic Aspects and Properties of Biopolymers
By N. F. Mazuki ; M. A. Saadiah ; A. F. Fuzlin ; N. M. Khan ; A. S. Samsudin
DOI: https://doi.org/10.1039/9781839168048-00001
2022. Series: Polymer Chemistry Series

DELIVERY MODE (Presence/e-learning)
Precence.

TEACHING METHODS
The course is held by lectures including theory and exercises. Lectures and some lessons carried out with PC.

Title: NMR OF NANO-SYSTEMS

Teacher(s): Prof. Marco Sette

Credits: 2

LEARNING OUTCOMES
Ability to understand the relevant scientific literature and to extract information from spectra of Nuclear Magnetic Resonance.

KNOWLEDGE AND UNDERSTANDING
Understanding of the necessary NMR experiments of utility in the field of nanosystems and of the basic theory behind each of them.

APPLYING KNOWLEDGE AND UNDERSTANDING
Ability to apply the different methodologies used during the lesson, as well as the ability to discriminate between the best strategy to follow.

MAKING JUDGEMENTS
Ability to be independent in a scientific project by acquiring information deriving from other related sectors.

COMMUNICATION SKILLS
Ability to relate to other sectors to establish appropriate experiments

LEARNING SKILLS
Ability to extend their own knowledge for the use of other experiments and to know how to move in sectors related to their own.

PREREQUISITES
There are no formal prerequisites, however it is appropriate that students have good knowledge of Mathematical analysis, Physics and Chemistry.

TOPICS
NMR basic theory: the resonance phenomenon, chemical shift, scalar and dipolar coupling, molecular interactions. One- and two-dimensional experiments in solution and in solid phase. Diffusion experiments. Examples from literature.

EVALUATION

• Type: oral examination.
• Description:  The exam of NMR of nanosystems consists of an oral examination.
  The oral exam consists in three theoretical questions (each contributes with 10/30 to the final vote). The exam evaluates the overall preparation of the student, the ability to integrate the knowledge of the different parts of the program, the consequentiality of the reasoning, the analytical ability and the autonomy of judgment. Furthermore, language properties and clarity of presentation are assessed, in compliance with the Dublin descriptors (1. Knowledge and understanding; 2. Ability to apply knowledge and understanding; 3 . Making judgments; 4. Learning skills; 5: Communication skills).
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies and / or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgment skills, the arguments are presented in an inconsistent way and with inappropriate language,
  18-20: just sufficient knowledge and understanding of the topics with possible generalizations and imperfections; sufficient capacity for analysis, synthesis and autonomy of judgment, the topics are frequently exposed in an inconsistent way and with inappropriate / technical language,
  21-23: Routine knowledge and understanding of topics; ability to analyze and synthesize with sufficiently coherent logical argument and appropriate / technical language
  24-26: Fair knowledge and understanding of the topics; good analysis and synthesis skills with rigorously expressed arguments but with a language that is not always appropriate / technical.
  27-29: Complete knowledge and understanding of the topics; remarkable abilities of analysis and synthesis. Good autonomy of judgment. Topics exposed rigorously and with appropriate / technical language
  30-30L: Excellent level of knowledge and in-depth understanding of the topics. Excellent skills of analysis, synthesis and autonomy of judgment. Arguments expressed in an original way and with appropriate technical language.

ADOPTED TEXTS
Edwin Becker
High Resolution NMR. Theory and Chemical Applications
Elsevier. 3rd Edition

DELIVERY MODE (Presence/e-learning)
Precence.

TEACHING METHODS
The course is held by lectures including theory and exercises.

Title: NANOSCALE STRUCTURAL TRANSFORMATIONS AND KINETICS

Teacher(s): Prof. Roberto Montanari

Credits: 2

LEARNING OUTCOMES
The course aims to provide the basic knowledge about the diffusion based phase transformation occurring in the solid state with particular attention to thermodynamics and kinetics. The chemical distribution on nano- and micro-scale and the microstructure of materials will be presented.

KNOWLEDGE AND UNDERSTANDING
The students should understand how the microstructure of metallic materials can be modified through heat treatments which induce the formation of different phases.

APPLYING KNOWLEDGE AND UNDERSTANDING
The content of the course is useful for determining the fundamental process parameters (temperature, time, atmosphere) of heat treatments to induce the suitable microstructural transformations in metal alloys and achieve the desired mechanical properties for a given engineering application.

MAKING JUDGEMENTS
The students will be able to understand how to perform the right heat treatments on metal alloys to get the desired mechanical properties.

COMMUNICATION SKILLS
Description of the microstructure of metallic materials in terms of type and fraction of different phases, and their effect on the mechanical properties.

LEARNING SKILLS
Understanding the relations between microstructural features and mechanical properties of the main families of metal alloys for engineering applications.

PREREQUISITES

There are no formal prerequisites, however it is appropriate that students have good knowledge of Chemistry.

TOPICS
1. Binary and ternary phase diagrams
2. Classification of diffusion based solid state phase transformations.
3. Transformations occurring through nucleation and growth mechanisms.
4. Transformations occurring through spinodal reaction.
5. Identification of unknown compounds by means of X-ray diffraction. The use of the X-ray database. Lab exercices.

EVALUATION

• Type: oral examination.
• Description:  The exam of Nanoscale Structural transformations and Kinetics consists of an oral examination.
  The oral exam consists in three theoretical questions (each contributes with 10/30 to the final vote). The exam evaluates the overall preparation of the student, the ability to integrate the knowledge of the different parts of the program, the consequentiality of the reasoning, the analytical ability and the autonomy of judgment. Furthermore, language properties and clarity of presentation are assessed, in compliance with the Dublin descriptors (1. Knowledge and understanding; 2. Ability to apply knowledge and understanding; 3 . Making judgments; 4. Learning skills; 5: Communication skills).
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies and / or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgment skills, the arguments are presented in an inconsistent way and with inappropriate language,
  18-20: just sufficient knowledge and understanding of the topics with possible generalizations and imperfections; sufficient capacity for analysis, synthesis and autonomy of judgment, the topics are frequently exposed in an inconsistent way and with inappropriate / technical language,
  21-23: Routine knowledge and understanding of topics; ability to analyze and synthesize with sufficiently coherent logical argument and appropriate / technical language
  24-26: Fair knowledge and understanding of the topics; good analysis and synthesis skills with rigorously expressed arguments but with a language that is not always appropriate / technical.
  27-29: Complete knowledge and understanding of the topics; remarkable abilities of analysis and synthesis. Good autonomy of judgment. Topics exposed rigorously and with appropriate / technical language
  30-30L: Excellent level of knowledge and in-depth understanding of the topics. Excellent skills of analysis, synthesis and autonomy of judgment. Arguments expressed in an original way and with appropriate technical language.

ADOPTED TEXTS
D.R. Askeland, The Science and Engineering of Materials, Stanley Thornes Publishers Ltd.

BIBLIOGRAPHY
Porter & Easterling, Phase Transformations.

DELIVERY MODE (Presence/e-learning)
Precence.

TEACHING METHODS
The course is held by lectures including theory and exercises.

Title: PROBABILITY AND STATISTICAL METHODS FOR MODELLING ENGINEERS

Teacher(s): Prof. Maria Richetta

Credits: 3

LEARNING OUTCOMES
After a careful study during the course the students should be able to:
1. Identify the role of statistics in engineering problems.
2. Discuss the methods used by engineers to collect data.
3. Explain the differences between mechanistic and empirical models.
4. Understand and describe sample spaces and events of random experiments with graphs, tables, lists or tree diagrams.
5. Interpret and use the probability of the results to calculate the probabilities of the events. Calculate the probability of joint events and interpret / calculate the conditional probabilities of events.
6. Apply the Bayes theorem.
7. Understand the meanings of a random variable.
8. Select an appropriate discrete / continuous probability distribution. Determine probability, mean, and variance for the presented discrete / continuous probability distributions.
9. Calculate and interpret mean, variance, standard deviation, median and sample interval.
10. Build and interpret normal probability diagrams.
11. Know the general concepts of estimating the parameters of a population or a probability distribution.
12. Explain the properties of point estimators (bias, variance, mean square error).
13. Construct point estimators with moments method and maximum likelihood method.
14. Calculate and explain the precision of the estimation of a parameter.
15. Understand the central limit theorem.
16. Explain the role of normal distribution as a sampling distribution.
17. Build confidence intervals, forecast intervals, tolerance intervals.
18. Structure engineering decision problems as hypothesis tests.
19. Check the hypotheses on the average of a normal distribution using a Z-test or t-test procedure.
20. Test the hypotheses on variance or standard deviation of a normal distribution. Check the hypotheses on a population.
21. Use the P value approach to make decisions in hypothesis tests.
22. Select a sample size for tests on averages, variances and proportions.
23. Explain and use the relationship between confidence intervals and hypothesis testing.
24. Use the chi-square test to test hypotheses about the distribution.
25. Use simple linear regression to build empirical models of technical and scientific data.
26. Understand the use of the least squares method to estimate parameters in a linear regression model.
27. Analyze the residuals to determine if the regression model fits the data or to see if there are violations of the initial hypotheses.
28. Test the statistical hypotheses and construct confidence intervals on the parameters of the regression model.
29. Use the regression model for the prediction of a future observation and construct an appropriate prediction interval on future observation.
30. Use simple transformations to obtain a linear regression model.
31. Apply the correlation model.
32. Finally, discuss how probabilities and probability models are used in engineering and science in general.

KNOWLEDGE AND UNDERSTANDING
Students acquire understanding and knowledge of: 1) fundamental statistical techniques (summary statistics, normal distribution, interval estimation, regression analysis, modelling) and how they relate to the baseline discipline; 2) software statistical techniques; 3) process monitoring by control charts; 4) process optimization by response surface methodology; 5) determining important factors by hypothesis testing; 6) process modelling by, e.g., regression analysis; 7) design of experiments and laboratory recommendation.
The teaching approach provides the foundation for this understanding, in such a way that at the end of the course students have assimilated a complete knowledge of the basic themes.

APPLYING KNOWLEDGE AND UNDERSTANDING
The goals of the course are to help the students to: i) model and simulate basic engineering problems, ii) collect, analyze and present numerical data in general and simulation results in particular, iii) interpret simulation results by means of statistical methods, iv) use statistical principles and concepts, v) develop software for reporting and for graphical presentation, vi) be familiar with basic probability theory and perform estimation, hypothesis testing, simple correlation-/regression analysis, vii) identify, formulate, and solve engineering problems. Such applications of statistics are widespread in all branches of engineering.

MAKING JUDGEMENTS
The training provided for students of the course is hallmarked by the acquisition of a flexible mentality that helps them to extend the knowledge learned to new concepts, enabling them to introduce elements of innovation. These activities encourage students to develop: critical thinking and problem solving; critical analysis; independence of judgement. At the end of the course, students are therefore able to pose, refine and evaluate scientific questions, this being a fundamental objective both educational and cognitive.

COMMUNICATION SKILLS
Students develop the ability to present clearly what they have learned during the course and, in the same way, the additional knowledge gained from practical exercises, classroom exercises and textbooks. They are expected to present their knowledge effectively. These skills, which concern both oral and written presentations, are based on the ability to analyze and integrate the knowledge areas acquired during the course. Students are also encouraged to develop a positive attitude towards teamwork.
The evaluation of the achievement of written and oral communication skills is verified during classroom exercises, practical exercises, tutoring and through written and oral exams at the end of the course.

LEARNING SKILLS
Students, through the introduction of a range of fundamental statistical techniques, learn how to: analyse data, apply statistics in engineering contexts, use appropriate statistical sofware. Furthermore they acquire: numeracy skills, effective Information retrieval and research skills, computer literacy. On these bases they will be able to connect and relate knowledge across various scales, concepts, and representations “in” and “across” domains.

PREREQUISITES
There are no mandatory prerequisites for this course. However, a basic knowledge of Mathematical Methods for Engineering (calculus, algebra, trigonometry, etc.) is assumed.

TOPICS
– The role of Statistics in Engineering: Mechanistic and Empirical Models, Probability and Probability Models.
– Probability: Discrete Random Variables and Probability Distributions; Continuous Random Variables and Probability Distributions.
– Point Estimation of Parameters.
– Random Sampling and data Description, Statistical Intervals for a Single Sample.
– Tests of Hypotheses for a Single Sample.
– Simple Linear Regression and Correlation: Empirical Models.
– Multiple Linear Regression Model.
– The Analysis of Variance (ANOVA): Residual Analysis and Model Checking; The Random Model.
– Design of Experiments with Several factors.
– Statistical Quality Control.

EVALUATION

• Type: written, oral and practical examination.
• Description:  A series of written exercises and practical tests offers teachers and students the opportunity to assess progress and understanding of students, during the course, before the final assessment.
  The final exam consists of a written and / or practical test and an oral test.
  The written / practical test is structured to: i) emphasize concepts and techniques acquired during the course; ii) request an explanation of the candidate’s reasoning; iii) allow sufficient time for most well-prepared students to complete each application; iv) use innovative types of questions that probe the depth of understanding.
  The oral exam consists in three theoretical questions (each contributes with 10/30 to the final vote). The exam evaluates the overall preparation of the student, the ability to integrate the knowledge of the different parts of the program, the consequentiality of the reasoning, the analytical ability and the autonomy of judgment. Furthermore, language properties and clarity of presentation are assessed, in compliance with the Dublin descriptors (1. Knowledge and understanding; 2. Ability to apply knowledge and understanding; 3 . Making judgments; 4. Learning skills; 5: Communication skills).
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies and / or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgment skills, the arguments are presented in an inconsistent way and with inappropriate language,
  18-20: just sufficient knowledge and understanding of the topics with possible generalizations and imperfections; sufficient capacity for analysis, synthesis and autonomy of judgment, the topics are frequently exposed in an inconsistent way and with inappropriate / technical language,
  21-23: Routine knowledge and understanding of topics; ability to analyze and synthesize with sufficiently coherent logical argument and appropriate / technical language
  24-26: Fair knowledge and understanding of the topics; good analysis and synthesis skills with rigorously expressed arguments but with a language that is not always appropriate / technical.
  27-29: Complete knowledge and understanding of the topics; remarkable abilities of analysis and synthesis. Good autonomy of judgment. Topics exposed rigorously and with appropriate / technical language
  30-30L: Excellent level of knowledge and in-depth understanding of the topics. Excellent skills of analysis, synthesis and autonomy of judgment. Arguments expressed in an original way and with appropriate technical language.

ADOPTED TEXTS
– Statistics for Engineers and Scientists, W.Navidi, McGraw-Hill Education 2020.
– Fundamentals of Probability and Statistics for Engineers, T.T. Soong, Jhon Wiley & Sons 2004.
– Probability and Statistics for Engineering and the Sciences, J. Devore, Brooks/Cole 2010.
– Probability and Statistics; John J. Schiller, R. Alu Srinivasan, Murray R Spiegel, 4 th Edition 2013.
– Essential Matlab for Engineers and Scientists; Brian Hahn, 5 th Edition 2012.

BIBLIOGRAPHY
– Applied Statistics and Probability for Engineers, D.C. Montgomery, G.C. Runger, Jhon Wiley & Sons 2003
– A Beginner’s Guide to R , A.F. Zuur, E.N. Ieno, E.H.W.G. Meesters, Springer 2009
– Introductory Statistics with R, P. Dalgaard, Springer 2008
– The R Book, M.J. Crawley, Wiley 2007
– Statistical Methods for Engineers, G. Vining, Thomson Brooks/Cole 2011
– Probability and Statistics, J.L. Devore, Thomson Brooks/Cole 2000
– Data analysis with Matlab, James Braselton, 2014
– Mathematical and Computational Modeling: With Applications in Natural and Social Sciences, Engineering, and the Arts, First Edition. Roderick Melnik. 2015 John Wiley & Sons, Inc.
– Mathematical Modeling with Excel, B. Albright, Jones & Bartlett Learning, 2009.
– Computational Statistics Handbook with MATLAB, W.L. Martinez, A.R. Martinez, Chapman and Hall Book/CRC Press 2015.
– Linear Models with R, J.J.Faraway, Chapman and HallBook/CRC Press 2014.

DELIVERY MODE (Presence/e-learning)
Precence.

TEACHING METHODS
The course is delivered through the following Learning Activities.
1. Attendance of lectures where course material is presented through discussions, worked examples, and demonstrations.
2. Attendance of exercises and practicals where students perform and discuss exercises as part of their formative assessment. These practices help students in consolidating the course material and provide a source of feedback on understanding.
3. Private study to review the course material presented in lectures, read the textbooks, and practice solving conceptual and numerical problems from textbooks, and other sources.
4. Completion of online quizzes and problems that are designed to give students further practice in the application of course material, as well as feedback on their understanding. These also form part of their formative assessment.
5. Application of basic and more advanced statistical methods. Use of the statistical package R, developed through a sequence of computer practicals.

Title: NANO-ENGINEERING SEMINAR + PROJECT 3

Teacher(s): Prof. Maria Luisa Di Vona

Credits: 2

LEARNING OUTCOMES
The course “Nano-engineering Seminar + Project” is conceived as a forum of exchange for new ideas emerging from the literature and lectures.
The goal is to teach students to work on project, to present its outcome correctly and to be able to defend it. In addition a revision session, where students can express their potential problems and discuss them with other students, under the professor/tutor guidance is planned.

KNOWLEDGE AND UNDERSTANDING
To integrate knowledge and handle complexity, and formulate judgments in situations characterized by incomplete or limited information,
To reflect on social and ethical responsibilities linked to the application of their knowledge and judgments;
To acquire the learning skills which allow them to continue to study in a manner that may be largely self-directed or autonomous.

APPLYING KNOWLEDGE AND UNDERSTANDING
To apply their knowledge and understanding, in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their field of study;
To communicate their conclusions, the knowledge and rationale underpinning these, to specialist and non-specialist audiences clearly and unambiguously.

MAKING JUDGEMENTS
The ability to obtain and describe results from literature data, in order to arrive at the formulation of an interpretative judgment on the results acquired;
The ability to collect and process technical and safety information, taking into account the properties of the subject including any specific risk.

COMMUNICATION SKILLS
Direct interaction between researchers and students coming from different countries, with different cultural background will improve the communication skills and increase tolerance.
Their understanding of the foreign cultures and history will allow them for easier contact with people having different cultural background.
The necessity to cooperate with students and professors from different countries and cultures will increase their tolerance and politeness towards strangers.

LEARNING SKILLS
Assure an interdisciplinary training in the field of nano-engineering, which includes a profound understanding of the chemistry and the methods of synthesis and characterization of nano-materials and nano-systems.
Capacity to promote and to develop scientific and technological innovation.
Possibility of making a critical analysis of scientific information.
Capacity of technical and economic evaluation of a project of innovation and research.
Capacity to work effectively in a team project.

PREREQUISITES
There are no mandatory prerequisites for this course.

TOPICS
Introduction to nanoengineering; nanoscale fabrication.
Synthesis techniques, processes, microstructural control, and unique physical properties of materials in nanodimensions.
Nanowires, quantum dots, thin films, electrical transport, mechanical behavior, and technical applications of nanomaterials
Chemical interactions, classical and statistical thermodynamics of small systems.
Carbon-based nanomaterials, supramolecular chemistry, liquid crystals, colloid and polymer chemistry, surface functionalization, catalysis.
Nanoscale detection methods.
Understanding nanotechnology, broad implications, miniaturization.

EVALUATION

• Type: written examination; project evaluation.
• Description:  Training will be completed by projects and specific seminars. The assessment will take place through oral tests and project reports.
  For the oral test the competent use of a scientific language, the ability to synthesize, the clarity of exposition.
  The oral exam consists in three theoretical questions (each contributes with 10/30 to the final vote). The exam evaluates the overall preparation of the student, the ability to integrate the knowledge of the different parts of the program, the consequentiality of the reasoning, the analytical ability and the autonomy of judgment. Furthermore, language properties and clarity of presentation are assessed, in compliance with the Dublin descriptors (1. Knowledge and understanding; 2. Ability to apply knowledge and understanding; 3 . Making judgments; 4. Learning skills; 5: Communication skills).
  The final vote of the exam is expressed out of thirty and will be obtained through the following graduation system:
  Not pass: important deficiencies and / or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgment skills, the arguments are presented in an inconsistent way and with inappropriate language,
  18-20: just sufficient knowledge and understanding of the topics with possible generalizations and imperfections; sufficient capacity for analysis, synthesis and autonomy of judgment, the topics are frequently exposed in an inconsistent way and with inappropriate / technical language,
  21-23: Routine knowledge and understanding of topics; ability to analyze and synthesize with sufficiently coherent logical argument and appropriate / technical language
  24-26: Fair knowledge and understanding of the topics; good analysis and synthesis skills with rigorously expressed arguments but with a language that is not always appropriate / technical.
  27-29: Complete knowledge and understanding of the topics; remarkable abilities of analysis and synthesis. Good autonomy of judgment. Topics exposed rigorously and with appropriate / technical language
  30-30L: Excellent level of knowledge and in-depth understanding of the topics. Excellent skills of analysis, synthesis and autonomy of judgment. Arguments expressed in an original way and with appropriate technical language.

ADOPTED TEXTS
Literature articles delivered in class.

DELIVERY MODE (Presence/e-learning)
Precence.

TEACHING METHODS
Different teaching approaches will be used during the course. Teacher-centered approach will be applied in teaching fundamental skills across the chemical areas. Student learning will be measured through written tests.
The student-centered approach will be applied during the classroom exercises. Here students will play an active and participatory role in their learning process. Student learning will be measured through both formal (final exam) and informal (class discussions) assessment forms.