Scienze Chimiche, Geologiche e Ambientali - Attività didattica

Calendario lezioni - Google Calendar

Per ulteriori informazioni:

https://www.disat.unimib.it/it/ricerca/dottorato-scga/didattica

Elenco degli insegnamenti offerti nell’a.a. 2019/2020

Intercurricular courses

Teacher Samuel Albani (UNIMIB, dep. Earth and Environmental Sciences)
Language English
CFU  1
Hours  10
Program  Introduction to the use of free online software in support to atmospheric research: HYSPLIT, a simple, extensively used atmospheric transport and dispersion model. The model can be run interactively on the Web, or the code executable and meteorological data can be downloaded to a Windows or Mac PC.
  Two introductory lectures on the theoretical bases and possible applications (2 hours each) will be followed by 3 practical sessions in the computer lab (2 hours each).
Evaluation YES (presentation of a case study)
   
Calendar last two weeks of May
  To attend the course, please contact  [email protected] between 15-30 April
Teacher  Emilio Padoa-Schioppa, Elena Collina (UNIMIB, Dept. of Earth and Environmental Sciences)
Language English
CFU  1
Hours  8
Program  Concepts of sustainability: from ecology to environmental sustainability; the pillars of sustainability; ecosystem services approaches. 
  How to measure environmental sustainability: ecological and carbon footprint; global warming potential; life cycle assessment.
  Analysis of case studies from different perspectives.
Evaluation YES (Activity during the course)
   
Calendar April 21, 22
  To attend the course, please contact [email protected] before April 1st
Teacher Claudia Pasquero, Nadia Malaspina, Elisa Malinverno, Pietro Sternai, Luca Ferrero (UNIMIB, dep. Earth and Environmental Sciences)
Language English
CFU 2
Hours 20
Program The detailed program will be decided based on participant interests. Possible topics include climate dynamics, climate variability and change, effects of climate variations, climate feedbacks, risks related to climatic extremes, carbon cycle, greenhouse gases, Earth dynamics effects on climate, proxy data, anthropogenic changes and their effects onto the environment.
Evaluation YES: PhD students will have to present a paper of their choice and lead the discussion. 
Calendar I & II semester
Teacher Micol Rossini and Biagio Di Mauro (UNIMIB, dep. Earth and Environmental Sciences)
Language English
CFU  2
Hours  16
Program  The aim of the course is to provide expertise in Earth Observation (EO) and monitoring. The course will be structured as follows:
  Lecture I: Basic concepts of optical remote sensing: physical principles, digital images
  Lecture II: Availability of Earth Observation data (in particular ESA-Sentinels): presentation of different satellite missions and their the potential applications
  Lecture III & IV & hands-on exercises: two Earth Observation applications according to PhD needs and requests (e.g. hydrological and cryospheric applications; land surface and ecological applications) followed by corresponding hands-on exercises.
  Suggested years of attendance: I and II
  Expected outcome: introduction of EO data-based approaches in the students own PhD projects
Evaluation YES with a final oral presentation
Calendar May 2020
Teacher Micol Rossini and Biagio Di Mauro (UNIMIB, dep. Earth and Environmental Sciences)
Language English
CFU  2
Hours  16
Program  The aim of the course is to provide expertise in the use of open source software for data analysis. This will be done:
  - explaining basic principles on digital images and statistical exploration;
  - giving hands-on practice with tools and methods for satellite data exploitation;
  - stimulating the exploitation of these open tools and methods in individual student research projects.
  Examples of the use of open source software across a wide variety of disciplines, covering topics such as glacier dynamics, landslide mapping, volcanic activity, global forest change, inland water monitoring, urban mapping, post fire recovery, flood mapping, will be provided.
  Hands-on exercises will be developed using: 
  - Google Earth Engine: a cloud-based platform for planetary-scale geospatial analysis. 
  - QGIS for remote sensing applications.
  - ESA Sentinel Application Platform (SNAP).
Evaluation YES with a final oral presentation
Calendar June 2020
Teacher Davide Ballabio - Department of Earth and Environmental Sciences 
Language  English 
CFU 2
Hours  16
Program  The course will introduce principles and theory of the main multivariate modelling for chemical data (chemometrics) and machine learning approaches. These can be useful for exploratory analysis, i.e. to find and visualise main patterns in complex data systems (Principal Component Analysis), as well as to relate a set of independent variables to a modelled qualitative or quantitative response (Support Vector Machines and Partial Least Squares).
  Objective of the program: This course is an introduction to different key aspects of advanced multivariate data analysis in science. This includes mathematical and statistical methods able to face, analyse and describe complex systems, that is, systems characterised and influenced by several factors (variables). It is thus addressed to PhD students who want to acquire or intensify knowledge on multivariate analysis from different disciplines (Chemistry, Physics, Biology, Geology, Environmental Sciences, etc.). 
  The intended learning outcomes will be the following: understanding of complex data structure, learning of the principles and operating conditions of the main multivariate approaches, capability to independently apply suitable solutions to multivariate problems, choice of coherent and appropriate multivariate methods to deal with a specific issue. 
Evaluation NO
Calendar  May/June 2020 

Curriculum in Terrestrial and Marine Environmental Sciences

Teacher Roberto Comolli and Chiara Ferré, DISAT, UNIMIB
Language English/Italian
CFU  2
Hours  16
Program  Aims
  The aim of the course is to provide:
  - knowledge on traditional and innovative mapping methods;
  - practical skills in mapping of environmental variables;
  - ability to interpret results.
  Contents
  - Spatial variability of environmental variables: causes (anthropic and natural) and effects;
  - introduction to spatial data processing: traditional and innovative methods of assessing and mapping environmental variability;
  - basic concepts of univariate and multivariate geostatistics and geostatistical data fusion techniques; computer session on variogram modelling and production of thematic maps; case studies on spatial variability assessment in precision farming;
  - geomorphometric variables for production of thematic maps; case studies on soil thickness and soilscape.
  Methods
  Lectures, presentation of case studies and practical activities (PC sessions using specific software).
  Expected outcome
  Application of the investigated mapping techniques in research projects.
Evaluation Yes, through practical activities.
   
Calendar from April 16 to 30
  To attend the course please contact [email protected] between 15-30 March
Teacher Daniela Basso, Alessandra Savini (UNIMIB, dep. Earth and Environmental Sciences)
Language English 
CFU  1
Hours  8
Program  The monitoring programme of the Marine Strategy Framework Directive (MSFD) and the role of seafloor mapping 
  The habitats considered by the MSFD and why
  The role of remote data for benthic habitat characterization and classification
  Characterization and classification of benthic habitat dominated by cold-water carbonates in Mediterranean Sea (coralligenous and cold-water corlas)
  Presentation of case studies from the Ionian and south Adriatic Seas
Evaluation YES - Questionare: Ten questions with multiple choice and a short discussion on results
   
Calendar First two weeks of October 2020
  To attend the course, please contact [email protected] between 1-15 September
Teacher Andrea Franzetti (UNIMIB, dep. Earth and Environmental Sciences)
Language English 
CFU  5
Hours  48
Program  Bioinformatic tools will be applied to amplicon and shotgun metagenomic data to describe structure and function of microbial communities in different natural habitats.
  Topics:
    -  Introduction to linux commands and file system
    - Free databases for ribosomal and metagenomics sequences
    - Use of Uparse and dada2 pipelines for amplicon analysis
    -  Gene-centric and genome-centric analusis of metagenomes
    - Analysis and interpretation of the relults
Evaluation NO
Calendar II semester
Teacher Paolo Galli (UNIMIB, dep. Earth and Environmental Sciences)
Language English 
CFU  2
Hours  16
Program  Course Description
  In this course we will cover the basics of statistics applied to marine ecology from a very practical perspective, with real data sets and realistic case studies. 
  This course offered in English will develop hands-on expertise for analysing and interpreting ecological data based on applications to field-oriented problems. Hypothesis tests will be explained in light of data with non detects, outliers, and skewed distributions using a computer-aided analysis approach. Methods for estimation and prediction (e.g. regression methods) will be also illustrated along with their common pitfalls.  After taking this course students will be able to prepare their own data set for the following analysis and to choose the most appropriate among the available statistical methods to evaluate background values, trends or statistical differences in their data.
  At the course participants will learn to address questions such as geographical distribution of communities, interactions between communities and their physical environment, ecological change through time in response to sudden or gradual environmental change (pollution, climate), and patterns of diversity.
  First part
  Introduction to the course and to data that will be used. Brief overview on case studies/sampling conditions. The use of statistics: what is statistics and why is it needed; planning surveys, experiments and collecting data; types of data. Descriptive statistics: Finding the average (mean, median, mode); standard deviation, variance and standard error; degrees of freedom and coefficient of variation; descriptive statistics. Processing and presenting data: Displaying whole data sets; displaying summarised data; presenting data 
  The normal distribution and data transformations: How to know if data are normally distributed. Introduction to hypothesis testing  
  Second part
  Analysing frequencies: Chi-square test, goodness of fit and contingency tables. Confidence intervals and comparisons of two sample means: parametric vs. non-parametric tests; paired vs. non-paired tests; comparing means with equal or unequal variance; t-tests 
  When to use non-parametric statistics: Mann-Witney U-test; Wilcoxon test; Kruskall-Wallis test; non-parametric statistics; Introducing analysis of variance: One-way and two-way ANOVAs; post-hoc tests; randomised block design, repeated measures design, analysis of covariance design
  Correlation, covariance and the correlation coefficient; Pearson product moment correlation coefficient; coefficient of determination; Spearman rank correlation coefficient. Regression analysis: Simple linear regression; residuals, confidence intervals, transformation of axes; reduced major axis regression. ANOVAs and General Linear Models; introduction to multivariate statistics
Evaluation YES
Calendar II semester
Teacher  Elisa Malinverno (UNIMIB, dep. Earth and Environmental Sciences)
Language English 
CFU  1
Hours  8
Program  The course will first describe the effects of ocean acidification on the marine biotha and its link to the global carbon cycle, then explore the paleoceanographic records of past events of ocean acidification and variations in atmospheric carbon dioxide concentration
Evaluation YES (written test, 5 questions with brief answer)
Calendar  II semester
Teacher  Antonio Finizio (UNIMIB, dep. Earth and Environmental Sciences)
Language English
CFU  2
Hours  16
Program    - The concepts of ecological risk assessment endpoints, defining the problem, the conceptual model, and risk hypotheses
    - Explore methods for measuring, estimating, and characterizing exposure and effects for deterministic and probabilistic assessments
    - Discuss how data are applied in the decision-making process
    - Demonstrate how to communicate risk findings in a professional setting
Evaluation YES:  discussion on the program topics 
   
Calendar from June 15 to July 15
  To attend the course, please contact [email protected] between 15-30 May
Teacher  Barbara Leoni (UNIMIB), Marco Rotiroti (UNIMIB)
Language English or Italian
CFU  2
Hours  16 hours (12 of lectures + 4 of PC lab session)
Program  This course aims to provide basic general concepts on environmental isotopes and, at the same time, specific applications to different environmental problems. The main expected outcome is that students, at the end of the course, could be able to evaluate and propose an application of isotopic methods in their own PhD projects.
  Suggested year of attendance: I or II.
  Part 1 – General Principles: stable isotopes, radioisotopes, chart of nuclides, isotope ratio, fractionation, general applications.
  Part 2 – Water Isotope: water cycle and water isotopes, precipitation and water isotopes, global and local meteoric water lines, global and local effects, deuterium excess, surface water and water isotopes, groundwater and water isotopes, groundwater dating.
  Part 3 – Stable isotope ratios and food webs, applications of stable isotopes in a food-web context, the trophic position of an organism in a food web, species-specific baselines, long-lived consumers as baselines, which resource pools support consumers?, quantitative approaches for analyzing stable isotope, what additional information does relative position of consumers in isotopic space reveal about food-web structure?
  Part 4 – Environmental Isotopes: tracing the carbon cycle, tracing contaminants sources and processes, nitrogen isotopes, boron isotopes, sulfur isotopes, field applications, case studies and numerical elaborations in computer labs.
  The teaching will be based on active methods centered on students’ interests: students will be grouped at the beginning of the course on the basis of their PhD research topics, then during the course each group should evaluate and propose an application of isotopic methods in its own research topic. At the end of the course, each group should present to the class the results of the group work.
Evaluation YES, the final presentation to the class of activities and results of each work group will be considered as the evaluation of students
Calendar October/November 2019; lectures of 6 hours per day; laboratory of 4 hours per day; total duration of the course will be 3 days.

Curriculum in Chemical Sciences

Teacher  Various
Language English
CFU  1
Hours  12
Program  Seminars carried out by Ph.D. students
Evaluation YES (based on attendance)
Calendar I semester
Teacher Airoldi Cristina (UNIMIB-BTBS) 
Language  English 
CFU 2.5
Hours 20
Program  Dissection of specific NMR-based molecular recognition experiments (STD, trNOESY, WaterLOGSY, 15N-HSQC) from both theoretical and experimental point of view
  Objectives of the program: Understanding how advanced NMR experiments can be exploited in drug discovery and development for ligand screening and optimization – I or II years 
Evaluation Yes 
Calendar  January 2020 
Teacher Luca Bertini, Claudio Greco, Antonio Papagni 
Language  English 
CFU 2
Hours 16
Program  Photophysics:
  - light-matter interaction and photostimulation processes
  - Interactions between atoms and molecules and photographic processes
  - Frank-Condon's Principle
  - Dynamics and time scale for decaying an excited state (fluorescence, phosphorescence)
   
  Photochemistry:
  - Organic photochemistry and photochemical processes
  - Organic photochemistry: Photostimulate organic reactions
  - Radical or ionic dissociation
  - Intrameloogic rearrangements and photoisomers
  - Hydrogen atom abstraction
  - Photodimerization, photoaddition, photoionisation reactions
  - Photochemical activity of aromatic compounds
  - photochemistry of diazo- and azide compounds
  - Photo-removable protective groups
  - Chemiluminescence
   
  Technical and experimental aspects of organic photochemistry
  - Inorganic photochemistry and coordination compounds
  - Characterization of the inorganic and coordinated electron spectra
  - Decay and Lifetime kinetics of an excited state
  - Energy transfer: Förster and Dexter mechanism
  - Electron transfer: Markus theory and quantum approach
  - Proton-coupled electron transfer
  - Redox properties of excited states of coordination compounds: the case of [Ru(bpy)3]2+;
   
  Objective of the program: The mini-course of photochemistry is an introduction to a selection of general, organic, inorganic, biological, solid state and theoretical photochemical themes with the aim of providing to phd students knowledge in basic principles and application of photochemistry. 
Evaluation  NO
Calendar May – July 2020
Teacher Dr. Matteo Piazza, Cerbios Pharma SA 
Language English 
CFU 1 CFU 
Hours 8
Program: 1. Bioconjugation 
  a. Intro on bioconjugation 
  b. Bioconjugates as ‘’Magic bullets’’ for tumor treatment 
  c. Industrialization of bioconjugation processes 
  2. From Proof-of-concept to the counter 
  a. Pharmaceutical manufacturing framework applied to therapeutics bioconjugates 
  b. CRO for early stage 
  c. CMO for GMP manufacturing 
  d. Pharma for outsourcing, product development and manufacturing 
   
  The objectives of the program are: 
  1) to show the state-of-the-art techniques of bio-conjugation applied to the development of anti-tumor drug and other drugs; 
  2) Introduce to the students the concept of process industrialization 
  3) to present to PhD students the current strategies of pharmaceutical companies in the research and development and in the drug market 
Evaluation NO 
Calendar  II semester
Teacher Massimo Moret / Riccardo Ruffo - Department of Materials Science 
Language  English 
CFU  2
Hours 18
Program  - Symmetry in crystals 
  - Examples of crystalline structures 
  - Mechanisms Crystal growth 
  - Diffraction of X-ray by crystals 
  - Experimental methods in X-ray: from single crystal to powders
  Objectives of the program: To understand the role of symmetry in periodic structures, basics of crystal growth, theory of diffraction in crystals, the use of diffraction to study solids. To make and interpret experiments on powdered polycrystalline samples. 
Evaluation YES, Oral examination 
Calendar 1st semester

Curriculum in Geological Sciences

Teacher  Maria Luce Frezzotti (UNIMIB, dep. Earth and Environmental Sciences), Robert Bodnar (Virginia tech), Leonid Danyuchevsky (University of Tasmania), Benedetto De Vivo
Language English 
CFU  5
Hours  40
Program  Topics include fluid and melt inclusion studies and applications to different geological environments, phase equilibria modeling and thermodynamics of C-O-H fluids at high P and T, and advanced analytical techniques for analysis of fluid and melt inclusions. 
Evaluation YES (written exam)
Calendar I semester
Teacher Federico Agliardi   (UNIMIB, Dep. Earth and Environmental Sciences)
Language English 
CFU  2    (the actual n. CFU depends on whether a fieldwork session will be held or not and/or shared with other courses)
Hours  20    (8 lessons, 6 field work, 6 lab work)
Program  Geometrical and mechanical characterization of fractured media to: a) improve conceptual models in geological and engineering applications; d) provide consistent input datasets for 2D and 3D discontinuum, continuum-based and hybrid numerical models FEM numerical models.
  Detailed contents:
  1)      theoretical aspects.
  2)      field survey techniques (outcrops, boreholes).
  3)      remote techniques (terrestrial and airborne LiDAR and photogrammetry; analysis of digital outcrops).
  4)      data collection, processing and problem-specific analysis.
Evaluation NO
Calendar II semester
Teacher Andrea Bistacchi, Stefano Zanchetta (UNIMIB, dep. Earth and Environmental Sciences)
Language English 
CFU  2
Hours  1-day field trip
  1-day lab, processing, analysis & discussion
Program  Digital Outcrop Models (DOMs) are becoming a very effective tool to collect quantitative data on natural outcrops and artificial exposures (e.g. quarries). Applications include structural analysis and lithological mapping that can be applied to studies in sedimentology, petrography, metasomatism, veining, etc.; other applications might be envisaged. DOM datasets represent the best (more complete and statistically significant) input for quantitative analysis and modelling at the outcrop scale (1m – 1km). The course will cover field data collection, processing, and analysis in different scenarios.
Evaluation YES 
Calendar I semester
Teacher Riccardo Castellanza (UNIMIB, dep. Earth and Environmental Sciences)
Language English 
CFU  2
Hours  20
Program  Provide to students a general overview of advanced numerical modelling (3D FEM based) in geotechnical engineering and engineering geology.
  A specific and detailed critical discussion on existing and new techniques for numerical analyses of instable slopes and underground geostructures will be provided. 
  The course is suggested for the 1st and 2nd year.
  The expected outcome is related to the knowledge on advanced numerical techniques (advantages and restrictions) to be applied as tools in the PhD topics.
  1- Introduction to numerical modelling of geotechnical problems
  2- Definition of the global PDE (Partial Differential Equations) system to cope with complex geotechnical problems including slopes ans geostructures.
  3- New trend related to the numerical modelling for geostructures and geomaterials.
  4- 3D Finite Element Method (3D FEM) introduction and specific aspects
  5- Explicative cases studies on instable 3D slopes
  6- Explicative cases studies on 3D geostructures
  7- New trends in numerical modelling in geomechanics: MPM (Material Point Method) and PFEM (Particles Finite Elelement Methods) 
Evaluation YES
Calendar May 2020
Teacher  Riccardo Castellanza (UNIMIB, dep. Earth and Environmental Sciences)
Language English 
CFU  2
Hours  20
Program  Provide to students a general overview of key advanced tests to evaluate the physical and mechanical properties of intact, weathered and consolidated geomaterials. A specific and detailed critical discussion on existing and new techniques will be provided. 
  The course is suggested for the 1st and 2nd year.
  The expected outcome is related to the knowledge on advanced laboratory tests in engineering geology.
  Detailed program
  1- Introduction to the physical and mechanical characterization of rocks
  2- Weathering of rock mass: overview and practical aspects
  3- Standard tests for geomaterials (with specific emphasize for intact and weathered rocks
  4- Advanced and new experimental apparatus for intact, weathered  and consolidated geomaterials.
  5- Introduction to grouting and freezing of soil
  6- Introduction of rock mass improvements with chemical products
  7- Laboratory test execution on soils (standard and advanced)
  8- Laboratory test execution on rocks (standard and advanced)
  9- Final discussion including critical analyses of the different tests analyzed.
Evaluation YES
Calendar April 2020
a cura di Scuola di dottorato, ultimo aggiornamento il 06/01/2021