C3A

This is the Calendar of the institutional courses for the academic year 2020/21: click on the individual courses for further info about programs and registration details. Attendance of 75% for all courses is requested.

Courses will be offered mainly by the Edmund Mach Foundation but also at UniTN departments involved in the PhD program in Agrifood and Environmental Sciences. Please, see the downloads box to check the complete educational offer. 

Based on the instructions received on coronavirus emergency, most of the classes will he held online and some schedule might change. Please, check the course and in case of doubts get in contact with the lecturer/s. 

Laboratory health and safety (LHS) - mandatory for all PhD Students

Lecturer(s): C3A and FEM health and safety officers and consultants (org. by UNITN)
N hours: 12

Summary: Lectures and practicals in general laboratory safety procedures, equipment use, and basic first aid. 
Description: Legally required basic (4 hours) and specific (8 hours) training in health and safety and risks connected to work activities.
Skills acquired: knowledge of basic chemical manipulation, laboratory skills, biological hazards, fire and radiation safety and basic first aid. 

Learned Evaluation procedure: Multiple choice quiz.
Notes and Pre-requisites: Obligatory for all PhD students (unless certificate of previous courses available)
Calendar: First session: November 2020 - Second Session January 2021

Basic and advanced courses 

Invasive Species and Tree health 

9 November-3 December 2020 - Summary

Lecturer(s): Nicola La Porta
N hours: 16
ECTS: 2

The aim of the course is to provide basic knowledge on the role of the introduction and spread of invasive alien species in Europe on plant health and sustainability of natural environmental management. Specific case studies concerning representative Alpine ecosystems will provide examples of the possible methodological approaches. The course will consist of lectures and group works on real cases. 
Module 1 (8 hours): main alien invasive pathogens on trees. Their introduction and spread by global trade and human movements. Effects of climate changes and further opportunities for aliens on their establishment and impact.
Module 2 (8 hours): main alien invasive trees and their effect in terms of biodiversity and landscape losses. Associated risks and possible challenges.

Learned Evaluation procedure: Article presentation chosen by the Phd Student written test
Notes and Pre-requisites: 1st year
Schedule: November-December 2020 or January-February 2021 to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Food authenticity and origin

30 November - 10 December 2020 - Summary

Lecturer(s): Federica Camin, Luana Bontempo, Roberto Larcher, Matteo Perini
N hours: 16
ECTS: 2

Summary: The course will be focused on the topics of food authenticity and origin traceability. Issues such as legislative requirements, commercial impact and consumer protection, as well as the applicable analytical tools will be addressed. The course will consist of lectures and group works on real cases. 

Module 1 (4 hours): concepts and meaning of food authenticity, origin traceability, legislative requirements, tools to tackle these problems and to protect consumers and dishonest producers 
Module 2 (4 hours): stable isotope ratios techniques 
Module 3 (4 hours): mineral profile techniques 
Module 4 (4 hours): other analytical approaches.

Learned Evaluation procedure: presentation of an article 
Notes and Pre-requisites: 1st year
Schedule: From 30 November to 10 December 2020 (2 hours classes twice a week).

Timetable

Monday 30 Nov. 9.00 -12.00 Concepts and meaning of food authenticity, origin traceability, legislative requirements, tools to tackle these problems and to protect consumers and dishonest producers
Tuesday 1 Dec. 9.00-12.00 Mineral and MS profiling techniques 
Wednesday 2 Dec. 14.00-17.00 Stable isotope ratios techniques part A
Thursday 3 Dec. 9.00-12.00 Stable isotope ratios techniques part B
Thursday 3 Dec. 14.00-16.00 NMR profiling
Thursday 10 Dec. 10.00-12.00 Exam - presentation from the students

 

The course will be held online; participants will receive the link to connect to the classes directly bu the lecturers

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Molecular Plant Breeding 

12 November 2020-11 February 2021 - Summary

Lecturer(s): Silvia Vezzulli, Laura Costantini, Fabrizio Costa, Lorenza Dalla Costa, Umberto Salvagnin 
N hours: 40
ECTS: 5

This course will present the most advanced frontiers in Plant Breeding, the science of creation, the fixation and selection of superior plant phenotypes. This course is organized in four modules for a total of 40 hours distributed in 20 lectures. The students will acquire knowledge about the principles undertaking the control of important agricultural traits and will be introduced to the several strategies to date available for a DNA-guided precise selection in different species, distinguished also by a different ploidy level.

Module 1 (12 hours): Molecular markers and Marker-Assisted Selection: it will introduce the basic concept of plant breeding and the genetic control of simple mendelian traits. Skills acquired: knowledge of the types of molecular markers and their employment in Marker-Assisted Selection (MAS).

Module 2 (8 hours): Mapping of quantitative trait loci in experimental populations: it will introduce the analysis of quantitative traits. Skills acquired: use of molecular markers in constructing genetic linkage maps and in detecting quantitative trait loci (QTL) in progenies.

Module 3 (10 hours): Molecular dissection of complex traits in germplasm collection: alternative methods of QTL mapping employing complex and more structured genetic background will be presented.
Skills acquired: Linkage Disequilibrium (LD) analysis and the detection of QTL through Association Study (AS) approaches, introducing to the principle of Genomic Selection (GS).

Module 4 (8 hours): Technological evolution in the field of genetic engineering: from GMOs to New Plant Breeding Technologies (NPBTs).
Skills acquired: knowledge of the state-of-the-art genome modification technologies with a methodological focus on their strengths and weaknesses.

Final exam (2 hours)

Learned Evaluation procedure: oral presentation
Notes and Pre-requisites: 1st year
Month/year: 12 November 2020 - 11 February 2021 (2 hours on  Tuesday and Thursday from 10:00 to 12:00)

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

Evaluation of agri-food products and policies

2-22 December 2020 - Summary

Lecturer(s): Simone Cerroni 
N hours: 24
ECTS: 3

Summary/Description: The course provides students with an in-depth description of state-of the-art methods and tools that are used to evaluate the demand for innovative food products (e.g., lab meat, antibiotic-free products) and welfare benefits generated by environmental and agri-food policies of recent relevance (e.g., climate change, sustainable consumption). Among the methodologies covered in the course: stated preferences (i.e., discrete choice experiments), experimental methods (i.e., experimental auctions) and randomized control trials. The course also provides principles of statistics and econometrics to be used in data analysis. Classes will consist of 7 standard frontal lectures, 1 tutorial on statistics and econometrics, 1 tutorial on research ethics in policy evaluation, and 3 interactive practical lectures.

Skills acquired: The course will improve knowledge and understanding of new trends and policies in the agri-food sector. Students will familiarize with methods and tools for demand and policy evaluation that can be useful in the job market. Strengths and limitations of these methods will be covered to stimulate critical thinking and the elaboration of new research ideas. The course also aims to improve students’ knowledge and understanding of principles of statistics and econometrics applied to evaluation problems.

Learned Evaluation procedure: Oral presentation of an academic paper (20Summary/Description: The course provides students with an in-depth description of state-of the-art methods and tools that are used to evaluate the demand for innovative food products (e.g., lab meat, antibiotic-free products) and welfare benefits generated by environmental and agri-food policies of recent relevance (e.g., climate change, sustainable consumption). Among the methodologies covered in the course: stated preferences (i.e., discrete choice experiments), experimental methods (i.e., experimental auctions) and randomized control trials. The course also provides principles of statistics and econometrics to be used in data analysis. Classes will consist of 7 standard frontal lectures, 1 tutorial on statistics and econometrics, 1 tutorial on research ethics in policy evaluation, and 3 interactive practical lectures.

Evalutation Procedure: Oral presentation of an academic paper (20%) - Oral presentation and short report on the development of an experimental protocol (40%) - Oral presentation and short report on conducted data analysis (40%)
Notes and Pre-requisites: 1st year
Schedule2-22 December 2020

Timetable

Wednesday 2 Dec. 10.00 -12.00 Principles of economic valuation
Friday 4 Dec. 10.00-12.00 Stated preference techniques 
Friday 4 Dec. 14.00-16.00 Focus on discrete choice modelling
Wednesday 9 Dec. 10.00-12.00 Survey design
Wednesday 9 Dec. 14.00-16.00 Experimental economic methods
Friday 11 Dec. 10.00-12.00 Experimental auctions
Friday 11 Dec. 14.00-16.00 Handling data from an experimental auction
Wednesday 16 Dec. 10.00-12.00 1st Continous Assessment: Oral presentation and discussion of scientific papers
Wednesday 16 Dec. 14.00-16.00 2nd Continous Assessment: Presentation  of the report on  the design of an experimental protocol
Friday 18 Dec. 10.00-12.00 From the lab to the field
Friday 11 Dec. 14.00-16.00 Randomized control trial
Tuesday 22 Dec. 10.00-12.00 3rd Continous Assessment: Presentation  of the report on data analysis

The course will be held online; participants will receive the link to connect to the classes directly bu the lecturers

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

GEOframe Winter School - offered by DICAM

7-14 January 2021 - Summary

Lecturer(s): Riccardo Rigon, Giuseppe Formetta, Marialaura Bancheri (CNR-Ercolano Napoli)
N hours: 64
ECTS: 8

Content and registration procedures are available on the official web-page of the event.

For any doubts or clarifications, you can send an e-mail to abouthydrology@google.com (remember to put the code: GWS2021 in the object)

Learned Evaluation procedure: Final exam
Notes and Pre-requisites: None
Schedule: 7-14 January 2021

Ecological and epidemiological modelling

11-22 January 2021 - Summary

Lecturer(s): Roberto Rosà, Andrea Pugliese
N hours: 16
ECTS: 2

Summary: 8 hours of lectures on the basis of eco-epidemiological models with application both in agriculture and public health. 
8 hours of practical exercises with software R using experimental data from agriculture and public health case studies.
Description: this course will provide an insight on the development and analysis of ecological and epidemiological models with applications in agriculture and public health.
Skills acquired: conceptual ideas and mathematical tools needed for implementing ecological and epidemiological models, especially population dynamic models as well as epidemiological models.

Learned Evaluation procedure: presentation or report
Notes and Pre-requisites: 2nd year - Students are expected to know the basic concepts of mathematics and statistics. Prior knowledge of open source software R use is also required
Schedule: 11-22/12/2020 - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Sustainable production and consumption from a social perspective

11 January - 1 February 2021 - Summary

Lecturer(s): Emanuela Bozzini, Francesca Forno, Natalia Magnani
N hours: 24
ECTS: 3

Summary: The objective of this course is to critically discuss the transformations in patterns and practices of production and consumption, giving particular attention to sustainability ideas and practices. The class will be articulated in three main modules (8 hours each).
Module 1 (8 hours): Overview of long-term trends in agricultural production and its sustainability
Skills acquired: Knowledge on historical trends in agricultural production, resource use, chemical input across world regions; knowledge on issues of sustainability of current agricultural systems in relation to demography, urbanization and resource depletion.
Module 2 (8 hours): Consumer Culture and Society. This module offers the opportunity to engage with sociological theories of consumption and contemporary consumer society.  
Skills acquired: Familiarity with sociological concepts to investigate changes in consumption practices and lifestyles, with a special attention on food consumption trends. The focus will be on the practice of consumption with regard to lifestyle, consumer subjectivity, meaning making, sustainability and ‘food diversity’.

Module 3 (8 hours): Social innovation and sustainability. The module aims to introduce students to sociological theories and debates concerning the development of social innovation for sustainability.
Skills acquired: familiarity with debates on sustainability and social innovation, with a special attention to food and food systems.

Learned Evaluation procedure: Final writte report or presentation
Notes and Pre-requisites: 1st Year Students
Schedule: E.B.: 11-12-13 January // F.F.: 18-19-20 January // N.M.: 25-28 January + 1 February - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Plant Physiology and Genetics of Fruit Ripening

15 January - 22 February 2021 - Summary

Lecturer(s): Fabrizio Costa, Nicola Busatto, Brian Farneti, Michele Perazzolli
N hours: 24
ECTS: 3

Summary: The course will provide the basics of plant physiology, focusing on phenology and fruit ripening. A special attention will be also given to the genetic mechanisms undertaking important physiological pathways and innovative plant physiology for precision agriculture.
Module 1 (4 hours): Smart plant physiology. This module will provide specific knowledge of plant physiology with particular attention to new tools for precision agriculture
Skills acquired: knowledge of plant physiology and precision agriculture aspects. 

Module 2 (7 hours) Fruit ripening physiology. This module will provide a general description of the type of fruits and their mode of ripening. The interplay between different hormones in regulating the fruit ripening will be discussed, introducing, moreover, the genetic analysis addressed to the detection of the main loci controlling fruit ripening related pathways. 
Skills acquired: knowledge of ripening physiology and the interplay among several hormones

Module 3 (7 hours): Genetic regulation of fruit ripening. This module will present the road map of the functional analysis carried out to date to disclose the main regulating mechanisms of fruit ripening. The state of the art of the molecular and biotech techniques used to date to investigate the fruit ripening processes will be also discussed, from recombinant DNA to OMIC approaches. 
Skills acquired: investigation of the molecular mechanisms regulating fruit ripening using the most advanced biotechnology approaches.

Module 4 (6 hours): Fruit quality and postharvest physiology. This module will be dedicated to underlying the relationship between fruit ripening and fruit quality, and how fruit quality can be investigated. To this end, classic and novel methodologies will be illustrated. The last part of the course will be devoted to postharvest, discussing how fruit change during storage and which are the most modern postharvest technologies oriented to preserve fruit quality.     
Skills acquired: understanding of the regulatory processes underlying fruit quality and their impact in the postharvest physiology.

Learned Evaluation procedure: presentation
Notes and Pre-requisites: 1st Year Students
Schedule: Module 1: 15 - 22 January 2021 // Module 2: 26-28 January and 2 February 2021 // Module 3: 4-9-11 February 2021 // Module 4: 16-18-22 February 2021 - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Insects as a Sustainable Feed Alternative

18-26 January 2021 - Summary

Lecturer(s): Sihem Dabbou
N hours: 12
ECTS: 1.5

Summary: The aim of the course is to provide an overview on insects and the increasing interest basic knowledge on the use of insects in animal feed.

Description: The course is organised in 3 lessons:

1. Introduction on Insects and legislation (2 hours).

2. Insect rearing (case study: Black Soldier Fly) (3 hours).

3. Potential of insect meal in monogastric animal farm nutrition (3 hours). 

Practical activities

1. A journal club where students present and discuss a paper chosen from the literature on this topic (2 hours).

2. Oral presentation where students choose and present the interesting topics on Insect as feed (2 hours).

Skills acquired: Tools for studying the importance of insects as animal feed; skills in presenting and discussing scientific articles on this topic

Learned Evaluation procedure: Oral presentation
Notes and Pre-requisites: 1st Year Students(no prerequisites required)
Schedule: E.B.: 18-20-25-26 January 2021 - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Introduction to Nonparametric Analysis

26 January - 05 February 2021 - Summary

Lecturer(s): Valerio Mazzoni 
N hours: 16
ECTS: 2

Summary: Introduction to the basic concepts of descriptive statistics and probability theory

Description: the following techniques will be studied: contingency tables and goodness-of-fit tests; hypothesis testing about the probability of an event, on a single sample, on two paired samples and on two independent samples; the case of more than two (dependent/independent) samples; tests for the trend detection and correlation; measures of association and related hypothesis testing methods; non parametric inference (Jackknife and Bootstrap).
Skills acquired: use of nonparametric techniques to solve hypotheses testing problems where the conditions for parametric tests are not fulfilled.

Learned Evaluation procedure: written exam
Notes and Pre-requisites: 1st year
Schedule: 4 classes, twice a week, from 26/1 al 5/2/2021 (Tuesdays and Fridays) - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Innovative Methods in Crop Protection

January-February 2021 - Summary

Lecturer(s): Gianfranco Anfora, Ilaria Pertot, Michele Perazzolli, Gerardo Puopolo, Valerio Mazzoni, Emanuela Bozzini  
N hours: 16
ECTS: 2

Summary: The course will give an overview about regulation aspects and innovative procedures for the control of plant pathogens and insects on major crops.

Module 1 (4 hours): Regulatory provisions on pesticides and biopesticides. This module will provide details on novel regulatory provisions on plant protection products and sustainable use of pesticides with a focus on the European Union.

Skills acquired: knowledge of policy principles and provisions informing EU regulation on plant protection products.

Module 2 (6 hours): Innovative approaches for pathogen control. This module will provide details on innovative approaches to control plant pathogens.

Skills acquired: knowledge of new generation tools for biological control of pathogens.

Module 3 (6 hours): Innovative approaches for insect control. The aim of this module is to provide expertise on the principles of plant protection strategies and alternative methods to the use of synthetic chemicals, including biological control and integrated pest management.

Skills acquired: knowledge of the pioneering low impact techniques for the integrated management of insect pests (i.e. semiochemicals, natural enemies, sterile insect technique); to learn the main types of existing bioagrochemicals, their mode of action, their application strategies, the advantages and disadvantages deriving from their application.

Learned Evaluation procedure: Final written test
Notes and Pre-requisites: 1st year
Schedule: January-February 2021- dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Data Exploration - offered by CIBIO

February 2021Summary

Lecturer(s): Pietro Franceschi
N hours: 12
ECTS: 1.5

Summary: data exploration and visualization, introduction to some of the bioinformatical and biostatistical tools/concepts used to explore a multidimensional dataset (PCA, Clustering, Linear Modeling, ...). 

Description: The aim is to highlight the advantages and limitations of each approach. 

Skills acquired: During the course the different aspects will be illustrated by live R/Python sessions on publicly available datasets. The students will be also encouraged to bring their own data to discuss and (possibly) analyse them. 

See also: https://www.unitn.it/drbs/38/teaching-program

This course is offered by CIBIO UNITN, but may be repeated on the FEM campus if demand is high.

Learned Evaluation procedure: Individual/ Group reports and discussion on assigned topics
Notes and Pre-requisites: 1st year
Schedule: February 2021 - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to both phd.aes@unitn.it and phd.bioscie@unitn.it

 

Aquatic ecosystems in natural and human impacted environments;

1-5 February 2021 - Summary

Lecturer(s): Monica Tolotti, Maria Cristina Bruno, Walter Bertoldi, Guido Zolezzi
N hours: 24
ECTS: 3

Summary: The course provides an insight on the physical, chemical, ecological and biological properties and dynamics of freshwater ecosystem, considering natural conditions (Module 1) and the effects of human stressors (Module 2). Specific case studies of different freshwater ecosystems will provide examples of the possible methodological approaches. 

Module 1 (12 hours): Aquatic ecosystem in natural conditions. This module addresses the main variables and processes driving the habitat dynamics in natural freshwater ecosystems.
Skills acquired: ability to describe and interpret aquatic habitats in running waters and lakes, across time and space, including physical, chemical, morphological variables, such as flow, temperature, nutrients, and foodweb descriptors and the effects of vegetation on the above. 

Module 2 (12 hours): Aquatic ecosystem under direct and indirect human stressors. This module provides insight on direct (e.g., pollution, water withdrawals, engineering) and indirect (land use and climate change). 
Skills acquired: methods to recognize and quantify stressors such as  source and point pollution, hydro-morphological alterations, thermal alterations, extinction and creation of habitats; methods for mitigation /restoration strategies (e-flows, morphological restoration, sediment augmentation).

Learned Evaluation procedure: presentation
Notes and Pre-requisites: 1st year
Schedule: 1-5 February 2021 - timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Exploring gene evolution using phylogenetics and phylogenomics - offered by CIBIO

February 2021Summary

Lecturer(s): Omar Rota-Stabelli
N hours: 12
ECTS: 1.5

Summary: Evolution can deepen our understanding of biological processes by revealing how things come to be the way we currently observe them. Useful evolutionary tools are those based on phylogenetic trees: they aim at understanding how genes evolved in different species and can provide important clues for understanding the molecular bases of organism biology. 

Description: This introductory course will provide the theoretical and practical bases of some tree-based methods using human and Drosophila as main model organisms. The course is divided in three lessons: 
1. Introduction to molecular phylogenetics from sequence alignment to Bayesian inference with a particular emphasis on gene phylogenies (4 hours);  
2. A focus on phylogenomics, the study of how genes evolve in different genomes, with particular emphasis in detecting gene family expansion/contraction and selection in the species of interest (4 hours);  
3. A journal club where students present and discuss with the others a paper chosen form the literature (4 hours).
Skills acquired: practical tools for studying gene evolution using phylogenetics and phylogenomics; skills in presenting and discussing scientific articles on evolutionary biology.
See also: https://www.unitn.it/drbs/36/teaching-activities
CIBIO Manifesto of Studies 2019-2020 (which will be mostly repeated in 2020-2021)

Learned Evaluation procedure: presentation
Notes and Pre-requisites: 1st year
Schedule: indicative period: February 2021 - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to  both phd.aes@unitn.it and phd.bioscie@unitn.it

 

Exploring Biodiversity using DNA-barcoding and molecular clocks

22-25 February 2021 - Summary

Lecturer(s): Omar Rota- Stabelli 
N hours: 12
ECTS: 1.5

A combination of lectures and practicals using phylogenetic methods to explore the diversity within ecosystems and understand how species (or varieties/strains) of bacteria, viruses, insects, plants and fungi have evolved through time. The course is organised in 3 lessons:
1.  Introduction to molecular phylogenetics with a particular emphasis on species phylogenies and DNA barcoding (4 hours); 
2. A focus on estimating divergence times of organisms using molecular clocks and on how to use this technique for paleobiological and paleoecological reconstructions (4 hours);
3. A journal club where students present and discuss a paper chosen form the literature on either barcoding or molecular clocks (4 hours). 
Skills acquired: practical tools for studying the evolution and diversification of species (molecular phylogenetics, DNA barcoding, estimates of divergence times using molecular clocks); skills in presenting and discussing scientific articles on biodiversity

Learned Evaluation procedure: presentation
Notes and Pre-requisites: 1st year
Schedule: 22-25 February 2021 - timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Advanced Econometrics - offered by DRSS

End of February 2021 - Summary

Lecturer(s): Carlo Fezzi
N hours: 24
ECTS: 3

The course provides students with knowledge and understanding of a diverse range of econometric approaches https://www.unitn.it/drss/em/221/curriculum

Learned Evaluation procedure: Final examination to be defined
Notes and Pre-requisites: 1st year
Schedule: End of February 2021 - timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to both phd.aes@unitn.it and school.socialsciences@unitn.it

 

Experimental Econometrics - offered by DRSS

February-March 2021 - Summary

Lecturer(s): Matteo Ploner;
N hours: 24
ECTS: 3

The course provides students with knowledge and understanding of principles of experimental economics https://www.unitn.it/drss/em/221/curriculum

Learned Evaluation procedure: Final examination to be defined
Notes and Pre-requisites: 1st year
Schedule: February-March 2021 - timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to both phd.aes@unitn.it and school.socialsciences@unitn.it

 

Environmental data management and analysis with GIS - offered by DICAM

8-12 March 2021 - Summary

Lecturer(s): Marco Ciolli, Alfonso Vitti, Paolo Zatelli;
N hours: 40
ECTS: 5

Summary: 13 lectures and 7 practicals in Numerical cartography and GIS
Module 1 (26 hours): Numerical cartography and GIS. Introduction to GIS theory, tools and data, Cartographic projections, reference systems and their transformations, GRASS GIS: features, structure and usage, data I/O, Thematic maps, Geoprocessing, network analysis, WebGIS, Geostatistics, Digital data sources, Spatial databases.
Skills acquired: selection of suitable Geographic Information Systems, digital spatial data acquisition and processing. Selection and management of the correct datum and execution of map reprojections. Understanding of the information content of different digital map formats and knowledge of digital spatial information data sources. Knowledge of the Free and Open Source Software GRASS and QGIS. Creation of thematic maps and application of geoprocessing, network analysis and geostatistics. Introductory knowledge of spatial data base management and image analysis.
Module 2 (14 hours): hand-on experience in the use of GRASS and QGIS for environmental applications.
Skills acquired: datum selection and map data input and output, maps reclassification, rasterization and interpolation. Creation of reports. Accomplishment of simple map processing for typical GIS tasks. Creation of a complete environmental model in a GIS.

Learned Evaluation procedure: presentation
Notes and Pre-requisites: 1st year
Schedule: March 2021 - check syllabus and schedule on DICAM official website

Registration procedure: in order to register in the course, please write an e-mail request to both phd.aes@unitn.it and dicamphd@unitn.it

 

Science of cooking

March-April 2021 - Summary

Lecturer(s): Eugenio Aprea, Flavia Gasperi, Isabella Endrizzi 
N hours: 24
ECTS: 3

Summary: the aim of the course is to provide the notions of general chemistry, organic chemistry and the physical states of the main food systems. In particular, it focuses on the world of molecules and their reactions to understand what food is and what happens during cooking and food preparation.

Module 1 (10 hours): Fundamentals: The basic concepts of the matter and its forms will be revised as well as the importance of the atomic and molecular forces, focusing on food systems. An overview of the main properties of aqueous solution will be given, recalling the concept of colligative properties and the definitions of pH and water activity. Description of the basic molecules of food (carbohydrates, lipids, proteins and water) and their nutritional, chemical and technological properties will be provided.
Skills acquired: Knowledge of food constituents and their physical and chemical properties.

Module 2 (6 hours): Heat transfer and effects on foods: Methods of heat transfer will be discussed also in relation to the different cooking methods. The modification of the main constituents of food during preparation and cooking will be revised with a focus on the Maillard Reaction and its implication for the final quality of food systems. 
Skills acquired: The student will be able to predict the effect of cooking on final product as a function of its composition and modality of energy transfer.

Module 3 (8 hours): How to measure the impact of cooking processes on food quality. The module is based on practical activities. The effects of preparation and cooking on real foods will be evaluated through instrumental measurements and/or sensory evaluations of the characteristics of the products (eg. texture, color, taste, ...). The data will be processed by the students who will also prepare a report to describe and explain the observed phenomena.
Skills acquired: Knowledge and “hands-on” on the principal methods and instruments to measure physical, chemical and sensory modifications of food.

Learned Evaluation procedure: written exam and presentation
Notes and Pre-requisites: 1st year
Schedule: March-April - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Animal Conservation in Theory and Practice

March-April 2021 - Summary

Lecturer(s): Francesca Cagnacci; Federico Ossi; Heidi Hauffe
N hours: 24
ECTS: 3

Summary: Conservation biology strives to describe, understand, and forecast biodiversity dynamics by applying ecological and evolutionary theory within the contexts of resource management, economics, sociology and political science. This course will explore the motivation for preserving biodiversity at all levels (genetic, species, ecosystem), available decision-making tools, and the consequences of various interventions, covering mainly terrestrial and freshwater ecosystems and including wild animal and plant species. 
Module 1 (8 hours) Principles of conservation biology. We have entered the Anthropocene, the Era of humans, where human impact is widespread in all biomes. The module will cover the essentials of conservation biology science, its area of application, and the analysis of major threats of humans on ecosystems.
Skills acquired: theory of conservation biology and fields of application.
Module 2 (8 hours) Conservation of terrestrial mammals in the Alps. The module will use the principle acquired in Module 1 to analyse conservation cases of terrestrial mammals in the Alpine range.
Skills acquired: application of conservation biology theory to terrestrial mammals
Module 3 (8 hours) Conservation genetics. The interactive module will focus on the application of genetics, genomics and metagenomics to conservation science, including wildlife forensics, and the importance of preserving genetic variation. 
Skills acquired
: principles of conservation genetics/genomics with practical examples of current research, and active discussion of case studies.

Learned Evaluation procedure: - Project exam (problem-solution analysis) with written part and presentation for Outreach
Notes and Pre-requisites: 1st year
Schedule: March-April 2021;dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Production and characterization of fermented foods

March-April 2021-Summary

Lecturer(s): Roberto Larcher, Tiziana Nardin, Raffaele Guzzon, Tomas Roman
N hours: 16
ECTS: 2

Summary: The course aims to provide, through a series of monographic seminars, notions about current issues or innovative trends in the transformation of raw food, with particular reference to traditional fermented foods. Ample space will also be given to analytical techniques for the characterization of food.
Module 1: Oenological treatments and technological fermentation management.
Module 2: Evolution of microbiota through wine oenological fermentations, influence of technological and environmental variables and impact on wine quality; Wine spoilage microorganisms, risk for wine quality and human health, and innovative approaches at the winery and wine hygiene.
Module 3: Chemical characterisation of fermentative compounds; Identification and quantification of metabolites; Chromatographic separation and analytical detection: profiles of minerals, sugars, amines, amino acids, organic acids, vitamins and volatile compounds; Targeted and untargeted profiles; Models of origin and botanical traceability;
Skills acquired: familiarity and ability to interpret and describe fermentative processes and define quality controls.

 

Learned Evaluation procedure: written exam
Notes and Pre-requisites: 2nd year
Schedule: March-April 2021 -;dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

The transmitters: the fascinating life of insect vectors of plant pathogens 

March-April 2021 - Summary

Lecturer(s): Daniele Cornara 
N hours: 20
ECTS: 2.5

Arguments and general structure: 1) Lecture: “Basic knowledge on vector transmission of plant pathogens” 2) Lecture/Case study: “Vectors of Xylella fastidiosa” 3) Lecture/Case study: “Aphids, thrips, whiteflies and mealybugs transmission of viruses” 4) Lecture/Case study: “Psyllids transmission of Ca. Liberibacter spp.” 5) Practice: “How to set-up a transmission study” 6) Practice: “Electrical Penetration Graph: introduction and how to use it in transmission studies”

Objectives/main goals: Overall, the students will acquire basic knowledge about the role of the insects in the epidemiology of plant pathogens, together with the fundamental skills needed to approach the research on the complex interaction insect-pathogen-host plant. Furthermore, they will be introduced to the concept of multidisciplinary and how integration of knowledge from different fields/topics is essential for the study of vector-borne diseases. Finally, lectures will be integrated with practical lessons focusing on: i) how to plan and conduct a transmission experiment from field surveys to pathogen detection in lab; ii) the Electrical Penetration Graph (EPG), and how real-time monitoring of the probing/feeding behavior of a vector can furnish fundamental breakthroughs for the understanding of a vector-borne plant pathogen epidemiology

Learned Evaluation procedure: Final oral exam; attendance to at least 75% of the course is mandatory for admittance to the final exam
Notes and Pre-requisites: 1st year
Schedule: March-April 2021 - timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Field sampling and Spatial Ecological Modelling 

May-June 2021 - Summary

Lecturer(s): Marco Ciolli, Clara Tattoni
N hours: 40
ECTS: 5

 

Summary: 18 hours lectures, Basis of Field sampling techniques and Spatial Ecological modelling using GIS and GPS; 10 hours field sampling work with measuring instruments and GPS; 12 hours practical Exercises with basis of GIS Ecological modelling with QGIS and R. 

Module 1 (28 hours): Theoretical and practical basis of field sampling techniques and data collection and spatial ecological modelling. Exploration of field data and how they can be used/misused, How to perform sampling in the forest and GPS data collection in the field, basis of spatial ecological modelling, overview of various modelling techniques with special reference to landscape ecology, land use change modelling and scenarios development, Vegetation Analysis and cartography, basis of remote sensing for vegetation. Forest landscape change detection, Markov Chain scenarios and Landscape Ecology indexes and parameters. 
Skills acquired: How to select sampling areas in the field and the reliability and limits of field data. Importance of data understanding and of sampling procedures. Data acquisition and critical interpretation of data sources. Improving GPS data sampling in the field. 

Module 2 (12 hours): Practical exercises with a Special focus on Land use change, Vegetation Analysis and cartography, basis of remote sensing for vegetation, Past Forest landscape change detection, Production of Markov Chain scenarios future/past and Landscape Ecology indexes and parameters and modelling of different pollution sources. Overview of various modelling techniques. Comparison of different techniques, pros and cons. Alien species modelling and study cases. Interpretation of Model results and validation. GIS and R Practice on sample data.
Skills acquired: It will give a thorough introduction to the How to use and combine the data in a GIS to perform geospatial analysis and ecological modelling. How to use QGIS plugins and basic use of R as a GIS.

Learned Evaluation procedure: presentation
Notes and Pre-requisites: 1st year
Schedule: May-June 2021 - dates and timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

Other basic and advanced Courses open to C3A PhD Students - schedule to be defined

Integrated river morphodynamics - offered by DICAM

2021 - schedule not defined  Summary

Lecturer(s): Guido Zolezzi, Walter Bertoldi, Marco Tubino
N hours: 40
ECTS: 5

Summary: The general aim of the course is to show how the integration of different approaches can lead to a comprehensive insight into river morphodynamics. The course strategy is to focus on one specific morphodynamic pattern, i.e. alternate bars in channelized streams, a subset of river bars that can be taken as an example of other patterns evolving at different time and spatial scales. Basic knowledge of fluid mechanics and sediment transport are recommended 

Module 1 (20 hours): Analytical theories of river bars. This module provides an overview of assumptions and outcomes of analytical morphodynamic theories and a step-by-step development of a linear stability analysis for free bars in straight channels.
Skills acquired: learn the “machinery” that lays behind the linear stability analysis of free bars, and, more in general, behind linear stability analyses in morphodynamic problems and develop and use simple computational tools to predict the main properties of free bars in straight channels.
Module 2 (8 hours): Bars in rivers: processes, forms and implications for river behaviour. This module describes river bars in different fluvial systems, their relationship with river planform style, the effect of flow unsteadiness, the role of vegetation, and the relationship with hyporheic flow.
Skills acquired: develop an understanding of how to integrate multiple approaches to investigate morphodynamics of river bars
Module 3 (4 hours): Numerical simulation of river bars. This module illustrates the potential of 2D numerical models resolving the shallow water equations to investigate alternate bars dynamics and quantify their properties. 
Skills acquired: ability to use a 2D numerical model to reproduce alternate bars dynamics.

Learned Evaluation procedure: presentation
Notes and Pre-requisites: 1st year
Schedule: 2021 - schedule to be defined

Registration procedure: in order to register in the course, please write an e-mail request to both phd.aes@unitn.it and dicamphd@unitn.it

 

Statistical methods and data analysis - offered by DICAM

15 March - 7 May 2021 - schedule not defined  Summary

Lecturer(s): Stefano Siboni
N hours: 32
ECTS: 4

Summary: illustration of the basic mathematical tools for the analysis and modeling of experimental data and to introduce and analyse the statistical models implemented by computational procedures, underlining their limitations and the interpretation of the results

Description: topics encompass short recalls about errors in experimental measurements, random variables, functions of random variables. Then sample theory is introduced, for small and large samples. The main content of the course concerns hypothesis testing, related to kind or parameters of statistical populations, comparison of statistical populations, Pearson’s linear correlation coefficient, 1 and 2 way ANOVA, linear regression model

Skills acquired: general understanding of how statistical tests work, that she/he can appropriately use the basic statistical tests and also easily understand and apply further, more specific tests not presented in the course

The aim of the course is to illustrate the basic mathematical tools for the analysis and modelling of experimental data, particularly concerning the main statistical methods. The idea is not simply to describe and discuss the "cooking recipes" for the statistical treatment of data, but also to introduce and analyse in a critical way the statistical models implemented by the computation procedures, stressing their limitations and the actual interpretation of the results.

Learned Evaluation procedure: written exam
Notes and Pre-requisites: 1st year
Schedule: 15 March - 7 May 2021 - check syllabus and schedule on DICAM official website

Registration procedure: in order to register in the course, please write an e-mail request to both phd.aes@unitn.it and dicamphd@unitn.it

 

Behavioural Economics - offered by DRSS

2021 - schedule not defined  Summary

Lecturer(s): Luigi Mittone
N hours: 48
ECTS: 6

The course provides students with knowledge and understanding of principles of behavioural economics https://www.unitn.it/drss/em/221/curriculum

Learned Evaluation procedure: final exam to be defined
Notes and Pre-requisites: 1st year
Schedule: 2021 - schedule to be defined

Registration procedure: in order to register in the course, please write an e-mail request to both phd.aes@unitn.it and school.socialsciences@unitn.it

Soft Skills

How to write a research project - basic - 1st year PhD Students

14-16 December 2020 - Summary

Lecturer(s): Ilaria Pertot;
N hours: 10
ECTS: 1 type A

Summary: Basic knowledge on how to prepare a research project for my PhD. What is the aim of the research project, what are the main steps and sections, Gannt chart and other tools.(8 hours lesson and 2 hours for a draft project preparation)

Learned Evaluation procedure: Project proposal
Notes and Pre-requisites: 1st Year PhD students
Schedule: 14-16 December - timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

How to write a research project - advanced - 2nd or 3rd year PhD Students

22-26 March 2021 - Summary

Lecturer(s): Ilaria Pertot;
N hours: 16
ECTS: 2 type A

Summary: Basic knowledge on how to prepare a research project proposal. The EU funding scheme and the evaluation process. Opportunities for project proposal application (4 hours lesson and 16 hours project preparation)
Funding opportunities in the H2020 and FP9

Learned Evaluation procedure: Project proposal
Notes and Pre-requisites: 2nd and 3rd year
Schedule: 22-26 March 2021 - timetable to be defined

Registration procedure: in order to register in the course, please write an e-mail request to phd.aes@unitn.it

 

Technical Scientific English

2020 - Summary

Lecturer(s): Felicity Hope
N hours: 24 or 16
ECTS: 3 or 2 type B

Courses of Technical-Scientific English (Academic Writing, Presentations and Academic Writing II) addressed to PhD Students of the scientific area.

Timetable 2020-21 is available in the download box. Syllabus is available in the dedicated wep-page of CLA. The courses will take place remotely at least until December 2020.

Students must register online starting at 10.00 on the first day of registration, by connecting to the page https://cialsrv.unitn.it/cialweb/web-site/index.jsp and entering the Esse3 passwords (for more information, please contact cla@unitn.it).

Please note that a maximum number of 15 students per course is admitted.

Students who will gain the final certificate from CLA will be acknowledged 3 ECTS for courses of 24 hours and 2 ECTS for courses of 16 hours.

NB: During the enrolment process, you will read that you have to pay 50 euro. Please ignore this information and confirm your online enrollment: the course is free for C3A PhD students. CLA will afterwards change the wording to "free". 

For any further query you can contact directly CLA.