| 1017325 | BIOINFORMATICS [BIO/10] [ITA] | 1st | 1st | 6 |
Educational objectives The complexity and huge quantity of genomics and biomolecular data accumulated so far, require computational techniques for management and, more important, for data mining and extraction of biological and functional information. Bioinformatics is the science able to achieve these goals and represents an essential tool for those involved in biochemistry, molecular biology, biomedicine and biotechnology. The aim of the Bioinformatics course is to introduce the Biotechnology students to the logical, mathematical and algorithmic bases of the most common computational tools available for the structural and functional bioinformatics research and to provide the practical skills to use them effectively.
After passing the final exam, student will have acquired the competences and skills in the following areas:
Knowledge and understanding
B) Applying knowledge and understanding
- be able to use the specific terminology
- practicing problem solving in Cell Biology
- be able of identifying cells and tissue types in the histological preparations.
C) Making judgements
- critical thinking through the historical survey of the main discoveries in cell biology with the detailed analysis of the fundamental experiments
- learning by questioning
D) Communication skills
-be able to communicate what has been learned during the oral exam
E) Learning skills
- learning the specific terminology
- be able to make the logical connections between the topics covered
- be able to identify the most relevant topics
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| 1017413 | Statistics [SECS-S/01] [ITA] | 1st | 1st | 6 |
Educational objectives Learning goals:
The learning goal of the course is to acquire a basic knowledge of statistical inference.
Knowledge and understanding
At the end of the course, students have a basic knowledge of the theory of point and interval estimation, and of some specific cases of parametric hypotheses testing
Applying knowledge and understanding
At the end of the course, students are able to use the main statistical inference techniques for samples drawn from a normal population
Making judgments
Students ability is stimulated using empirical cases, and the comparison between different approaches to statistical inference
Communication skills
The students' communication skills are enhanced by the critical discussion of the theory of statstical inference
Learning skills
Students with a positive mark have the ability to deal with real empirical cases of limited complexity
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| 1035083 | INDUSTRIAL AND ENVIRONMENTAL MICROBIAL MICROBIOLOGY [CHIM/11, ING-IND/26] [ITA] | 1st | 1st | 12 |
Educational objectives The Industrial, Environmental and Microbial Biotechnologies course aims to provide the basic principles of biodiversity in the world of microorganisms, highlighting the aspects of interaction and interdependence of the components of microbial communities. Specific training objectives are the knowledge of the different methods for the isolation and characterization of microorganisms from environmental samples of different origins, and the capability to search for microorganisms having specific physiological characteristics. Specific training objectives also are the knowledge of the main molecular and genomics methods for the characterization of complex microbial communities, aimed also at the search for specific functional genes for subsequent biotechnological applications. Specific training objectives include the knowledge of the main molecular approaches for the characterization and study of unculturable microbial communities. The knowledge and skills acquired will result in a reference framework for the design of genomic analysis applied also in unconventional contexts and for the understanding of potential biotechnological applications.
Students will be able to know and understand (acquired knowledge)
- the origins and scale of complexity of microbial biodiversity
- the interactions and problems related to the functioning of microbial communities;
- the problems related to the use of a novel as well as a recombinant microbial biocatalyst with improved properties in the process;
- the strategies to be used to identify the main physiological and molecular limits that can prevent or suggest the use of a microorganism in a biotechnological process;
Students will be able to (acquired skills):
- know how to design industrial production processes or environmental applications using microbial biocatalysts;
- know how to select methodologies for process performances evaluation, and how to propose new solutions to overcome any physiological or molecular limits highlighted during the process evaluation;
- know how to explain to non-expert people the basic notions of the methodologies, the principles and the applicative possibilities of the industrial microbiology;
- know how to present a paper or summarize in a complete but concise way the results achieved by correctly using the technical language;
- be able to update or expand their knowledge by using autonomously texts, scientific articles, by consulting the main databases available on the web,
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| THREE-DIMENSIONAL MODELING [CHIM/11] [ITA] | 1st | 1st | 6 |
Educational objectives The Industrial, Environmental and Microbial Biotechnologies course aims to provide the basic principles of biodiversity in the world of microorganisms, highlighting the aspects of interaction and interdependence of the components of microbial communities. Specific training objectives are the knowledge of the different methods for the isolation and characterization of microorganisms from environmental samples of different origins, and the capability to search for microorganisms having specific physiological characteristics. Specific training objectives also are the knowledge of the main molecular and genomics methods for the characterization of complex microbial communities, aimed also at the search for specific functional genes for subsequent biotechnological applications. Specific training objectives include the knowledge of the main molecular approaches for the characterization and study of unculturable microbial communities. The knowledge and skills acquired will result in a reference framework for the design of genomic analysis applied also in unconventional contexts and for the understanding of potential biotechnological applications.
Students will be able to know and understand (acquired knowledge)
- the origins and scale of complexity of microbial biodiversity
- the interactions and problems related to the functioning of microbial communities;
- the problems related to the use of a novel as well as a recombinant microbial biocatalyst with improved properties in the process;
- the strategies to be used to identify the main physiological and molecular limits that can prevent or suggest the use of a microorganism in a biotechnological process;
Students will be able to (acquired skills):
- know how to design industrial production processes or environmental applications using microbial biocatalysts;
- know how to select methodologies for process performances evaluation, and how to propose new solutions to overcome any physiological or molecular limits highlighted during the process evaluation;
- know how to explain to non-expert people the basic notions of the methodologies, the principles and the applicative possibilities of the industrial microbiology;
- know how to present a paper or summarize in a complete but concise way the results achieved by correctly using the technical language;
- be able to update or expand their knowledge by using autonomously texts, scientific articles, by consulting the main databases available on the web,
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| THREE-DIMENSIONAL MODELING [ING-IND/26] [ITA] | 1st | 1st | 6 |
Educational objectives Students know and understand (knowledge acquired):
- The problems related to the design and control of plants of interest to industrial
biotechnologies, and how these problems can be solved by applying mathematical
models.
- The interaction between the different mechanisms (cellular metabolism, transport,
reactions in solution) that govern the dynamics of process systems based on the
application of microbial communities
- the basic elements of the procedures that can be followed for the formulation of first
principles mathematical models of industrial biochemical processes;
- the basic elements of the procedures that can be adopted for the validation of
mathematical models of process systems.
- how a mathematical model can be used to optimize and control processes based
on the application of microbial communities.
B – Application capabilities
Students will be able to:
- Develop, through the application of the first principles of conservation, mathematical
models with lumped parameters of process systems based on the application of
communities of microorganisms.
- Plan experiments and use the experimental data obtained for the identification of
models of process systems.
- Evaluate, through analysis of the formulated mathematical models, how the
dynamics of a process system changes as the operating and design parameters
vary.
- Use mathematical models for choosing the operating and design parameters of a
process system.
C – Making judgments
- Be able to formulate own evaluation and/or judgment based on the interpretation of
the information available in the context of the analysis and control of biochemical
processes.
- Be able to identify and collect additional information to achieve greater awareness.
- Have the ability to know how, to know how to take initiatives and decisions taking
into account the various aspects of interest in the analysis and control of processes
of interest in industrial biotechnologies.
D – Communication skills
- Qualitatively describe the methodologies that can be adopted to verify the validity,
through experimental data analysis, of mathematical models of process systems.
- Knowing how to qualitatively illustrate the different mechanisms that govern the
dynamics of biochemical processes based on the application of communities of
microorganisms.
- being able to explain to non-experts the basic notions of development
methodologies, the principles and the application possibilities of mathematical
process models;
E – Ability to learn
- Have the learning skills that are necessary for continuous updating in the
development of industrial biochemical processes.
- Update or expand their knowledge by using, autonomously, texts, scientific articles,
and by consulting the main databases available on the web.
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| 10596046 | Applied Biotechnology and Evolution [BIO/07] [ITA] | 1st | 1st | 6 |
Educational objectives Objectives
The aim of the Molecular Ecology is to study the genetic and evolutionary mechanisms underlying the organisms' responses to the environment. The teaching intends to provide: an understanding of the mechanisms underlying the formation and maintenance of genetic diversity; - a knowledge of the importance of adaptive mechanisms in biotechnology; - an understanding of the fate of biotechs in natural systems, the last receptors of these products; - a critical view on the costs and benefits of the application of biotechnology.
The students who have passed the exam will know and understand (acquired knowledge):
- the basic principles of ecological genetics;
- the molecular methods used in molecular ecology and their appropriate application in the resolution of ecological and evolutionary issues;
- the genetic structure of natural populations;
- the role of evolutionary forces in modifying diversity patterns;
- the genetic basis of adaptation;
. the principles of biodiversity: measures, threats, value and importance of its conservation.
The students who have passed the exam will be able to (acquired skills):
- recognize and measure the genetic diversity
- use the genetic diversity as a tool in biotechnologies.
- develop, through scientific analysis, an independent, critical view regarding the main global aspects of biodiversity;
- apply principles of ecological genetics to biotechnological research.
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| 1035089 | FUNCTIONAL GENOMICS [BIO/11] [ITA] | 1st | 2nd | 6 |
Educational objectives General skills:
The course aims to introduce the students to the main approaches to functional genomics. Students will
learn to apply the high-throughput techniques based on DNA microarrays and Next Generation Sequencing
(NGS), measuring their potentials and their problems and limits. Focus will be placed on data mining
methodologies, from image analysis to data normalization and statistical filtering to gene clustering and
gene ontology. The availability of functional database and their use for improving biomedical research will
also be explained.
Specific skills:
The course aims to introduce the students to the main approaches to functional genomics, using the most
advanced model systems currently available.
Students will learn the principles and the perspectives of application of the high-throughput techniques
based on DNA microarrays and Next Generation Sequencing (NGS), measuring their potentials and their
problems and limits. Focus will be placed on data mining methodologies, from image analysis to data
normalization and statistical filtering to gene clustering and gene ontology analysis. The perspectives of
next generation sequencing in extending the limits of DNA microarray technology will also be illustrated.
At the end of the course students should be able to critically read papers from scientific literature and
research projects in the functional genomics field and understand methodological choices, perspectives,
eventual problems and week points.
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| Elective course [N/D] [ITA] | 1st | 2nd | 6 |
| Optional group: THREE-DIMENSIONAL MODELING | | | |
| Optional group: Gruppo industriale e ambientale | | | |
| 1017327 | ADVANCED ANALYTICAL METHODOLOGIES [CHIM/01] [ITA] | 2nd | 1st | 6 |
Educational objectives The teaching of Advanced Analytical Methodologies has the main objective of providing fundamental
knowledge and basic principles of separative techniques and spectroscopic methods.
As regards the separative techniques, in addition to the theoretical principles, the operating principles and
methods of application, in real systems, of the main separative techniques, mass spectrometry and coupling
techniques are illustrated. Furthermore, the principles and main fields of application of atomic and molecular
spectroscopy will be addressed: atomic absorption by flame and graphite furnace; plasma spectroscopy; UV-Vis
spectrophotometry and notes of X-ray fluorescence.
The main objective of the course is therefore to make the students able to acquire, after the study of the main
characteristics of separation and spectroscopic techniques, critical skills, in relation to the analytical problem,
in the choice of a suitable sample analysis technique real, together with aspects related to sampling, sample
preparation and data processing.
The lessons related to separative techniques, starting from the theory of extraction and chromatography,
deepen the study and description of the different types of separative techniques (gas chromatography, liquid
chromatography and capillary electrophoresis) coupled with different detectors, including the mass
spectrometer. As for atomic spectroscopy, the general theory principles will be faced up to the description of
atomic absorption by flame and graphite furnace; plasma spectroscopy. For both analytical techniques specific
applications will be addressed on the analysis of different classes of compounds of biotechnological and
environmental interest, etc.
The knowledge acquired in this teaching, will be a point of reference and starting point, but also a means to
acquire successive and interdisciplinary skills
Students who have passed the exam will be able to know and understand (acquired knowledge)
- the main techniques, separative and spectroscopic and their evolution
- the main working methods, with practical examples of application in different fields
- the most recent literature in this area
- aspects related to the current applications of separation techniques to biotechnological, environmental,
industrial, food, toxicological, metabolomic, proteomic and clinical problems
Students who have passed the exam will be able to (skills and skills acquired):
- studying in deep critically and autonomously the purposes of separative methodologies and the relative
applicative potentiality.
- understand the connection with other cultural areas of the CdS
-develop the ability to communicate what has been learned, through oral interviews and tests.
- develop self-study using accessible sources of updating.
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| 1035085 | BIOTECHNOLOGICAL PROCESSES FOR THE ENVIRONMENT AND THE ENERGY [ING-IND/25] [ITA] | 2nd | 1st | 6 |
Educational objectives The course aims to provide an overview on the application of biotechnological processes in the field of
environmental protection, with particular reference to the main processes involved in waste and
wastewater treatment, including their valorization, both as secondary resources and for energy purposes.
In this context, the course also intends to provide the key elements of the analysis and description of the
aforementioned processes, also based on chemical engineering methods (kinetic analysis, mass and energy
balances, thermodynamic relationships), providing specific examples for the studied cases.
Students who have passed the examination will have known and understood (descriptor 1 - acquired
knowledge):
- Fundamentals of the main biological processes for the treatment of waste and wastewater and for energy
and materials recovery
- Methods of quantitative representation of processes and preliminary sizing of the related equipment
- Use of specific techniques for measurement, monitoring, and control of relevance in the studied
processes
Students who have passed the examination will be able to (descriptor 2 - acquired skills):
- Apply methodologies for the analysis of processes of environmental relevance in the field of treatment
and valorization of waste and wastewater, and for the production of energy from renewable resources
(up to the preliminary design of the main process units)
- Frame the contents learned in the more general context of environmental protection, also with reference
to the regulatory framework
- Frame the contents learned in the more general context of environmental sustainability.
Along with lectures, the participation to laboratory activities and the individual study, will allow to get the
acquisition of above-described knowledge and to increase and evaluate the critical skills and judgment
(descriptor 3) and the ability to communicate what has been learned (descriptor 4).
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| Elective course [N/D] [ITA] | 2nd | 1st | 6 |
| AAF1162 | OTHER LANGUAGE SKILLS [N/D] [ITA] | 2nd | 1st | 4 |
Educational objectives Graduate students will be able to read and discuss scientific papers covering specific arguments; they wll also be able to present, explain and discuss original scientific results obtained in the specific sector of interest by using the appropriate phrasing.
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| AAF1136 | COMPUTER SKILLS
[N/D, N/D] [ITA] | 2nd | 2nd | 2 |
Educational objectives Use the computer and related devices Use software for word processing, for the production of spreadsheets, for presentations, for archiving. Use tools, specifically suited for the “Bio-“ environment, for storing and sharing data (file sharing), for data analyses. Use the rules of web 2.0 for the use, research and analysis of the contents related to the activities carried out during the study of the courses included in the training course
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| AAF1034 | FINAL EXAM [N/D] [ITA] | 2nd | 2nd | 36 |
Educational objectives The discussion of the experimental data obtained during the participation in a reserch project witnesses the student capabilities to be engaged in a team work and to collaborate on a specific scientific project by applying the principles of the scientific method.
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| Optional group: THREE-DIMENSIONAL MODELING | | | |
| Optional group: Gruppo industriale e ambientale | | | |
