Corso di laurea: Bioinformatics - Bioinformatica A.A. 2020/2021

Obiettivi formativi e sbocchi professionali Regolamento didattico del corso Programmazione

Primo anno

Primo semestre

Insegnamento	CFU	SSD	Ore Lezione	Ore Eserc.	Ore Lab	Ore Studio	Attività	Lingua
1049371 - PRINCIPLES OF MATHEMATICS (obiettivi) Principles of mathematics 1: The aim of this course is to give the student sound mathematical basis in calculus of one or several variables and optimization in a way appropriate for a student of bioinformatics. An emphasis is given to applications and intuitive understanding of the underlying concepts. The first semester (Principles of Mathematics 1) will be devoted mainly to the study of functions of one variables, including limits, derivative and integrals. Basic optimisation results for functions of one variable will also be considered Knowledge and understanding The aim of the course is to give students a basic understanding of calculus in a way appropriate to bioinformatics students. Students will also be exposed to mathematics proofs as an example of rigorous scientific reasoning. Applying knowledge and understanding By the end of the course, students will be able to use basic mathematical tools as applied to different environments. They will also be able to interpret in a critical way results obtained by applying mathematical modelling technique. Making judgements Lectures and practical exercises will provide students with the basic ability in assessing the main strengths and weaknesses of mathematical models when used to explain empirical evidence. Communication By the end of the course, students will have basic mathematical skills that will help them to talk in an appropriate way about quantitative models. Lifelong learning skills Students are expected to develop learning skills necessary to undertake additional and more advanced studies involving mathematics and mathematical modelling in biology. Principles of Mathematics 2: The aim of this course is to give the student sound mathematical basis in calculus of one or several variables and optimization in a way appropriate for a student of bioinformatics. An emphasis is given to applications and intuitive understanding of the underlying concepts. The second semester (Principles of Mathematics 2) will be devoted mainly to the study of functions of several variables, linear algebra, and differential equations. Basic optimization results for functions of several variables will also be considered. Knowledge and understanding The aim of the course is to give students a basic understanding of calculus in a way appropriate to bioinformatics students. Students will also be exposed to mathematics proofs as an example of rigorous scientific reasoning. Applying knowledge and understanding By the end of the course, students will be able to use basic mathematical tools as applied to different environments. They will also be able to interpret in a critical way results obtained by applying mathematical modelling technique. Making judgements Lectures and practical exercises will provide students with the basic ability in assessing the main strengths and weaknesses of mathematical models when used to explain empirical evidence. Communication By the end of the course, students will have basic mathematical skills that will help them to talk in an appropriate way about quantitative models. Lifelong learning skills Students are expected to develop learning skills necessary to undertake additional and more advanced studies involving mathematics and mathematical modelling in biology.
- PRINCIPLES OF MATHEMATICS 2	Erogato in altro semestre o anno
- PRINCIPLES OF MATHEMATICS 1 (obiettivi) Principles of mathematics 1: The aim of this course is to give the student sound mathematical basis in calculus of one or several variables and optimization in a way appropriate for a student of bioinformatics. An emphasis is given to applications and intuitive understanding of the underlying concepts. The first semester (Principles of Mathematics 1) will be devoted mainly to the study of functions of one variables, including limits, derivative and integrals. Basic optimisation results for functions of one variable will also be considered Knowledge and understanding The aim of the course is to give students a basic understanding of calculus in a way appropriate to bioinformatics students. Students will also be exposed to mathematics proofs as an example of rigorous scientific reasoning. Applying knowledge and understanding By the end of the course, students will be able to use basic mathematical tools as applied to different environments. They will also be able to interpret in a critical way results obtained by applying mathematical modelling technique. Making judgements Lectures and practical exercises will provide students with the basic ability in assessing the main strengths and weaknesses of mathematical models when used to explain empirical evidence. Communication By the end of the course, students will have basic mathematical skills that will help them to talk in an appropriate way about quantitative models. Lifelong learning skills Students are expected to develop learning skills necessary to undertake additional and more advanced studies involving mathematics and mathematical modelling in biology. Principles of Mathematics 2: The aim of this course is to give the student sound mathematical basis in calculus of one or several variables and optimization in a way appropriate for a student of bioinformatics. An emphasis is given to applications and intuitive understanding of the underlying concepts. The second semester (Principles of Mathematics 2) will be devoted mainly to the study of functions of several variables, linear algebra, and differential equations. Basic optimization results for functions of several variables will also be considered. Knowledge and understanding The aim of the course is to give students a basic understanding of calculus in a way appropriate to bioinformatics students. Students will also be exposed to mathematics proofs as an example of rigorous scientific reasoning. Applying knowledge and understanding By the end of the course, students will be able to use basic mathematical tools as applied to different environments. They will also be able to interpret in a critical way results obtained by applying mathematical modelling technique. Making judgements Lectures and practical exercises will provide students with the basic ability in assessing the main strengths and weaknesses of mathematical models when used to explain empirical evidence. Communication By the end of the course, students will have basic mathematical skills that will help them to talk in an appropriate way about quantitative models. Lifelong learning skills Students are expected to develop learning skills necessary to undertake additional and more advanced studies involving mathematics and mathematical modelling in biology.	6	MAT/09	24	36	-	-	Attività formative di base	ENG
1049372 - ORGANIC AND INORGANIC CHEMISTRY (obiettivi) This course is an introduction to chemistry fundamentals addressed to students with limited chemistry background. The purpose of the course is to provide students with the knowledge of general chemistry principles, and with the tools to solve simple chemistry problems. At the end of the course the students are expected to know ho to apply the acquired chemical concepts to different fields, including pharmaceutical chemistry and biochemistry which are the subjects of further courses. The course aims to provide a correct knowledge of the fundamental principles of organic chemistry, proposing the contents into two distinct phases that are closely and logically linked. In the first phase the teaching is addressed to provide basic knowledge about classification and nomenclature of organic compounds, about the symbolism used to represent both structures and reactions, as well as over the chemical-physics, acid-base, nucleophilic-electrophilic properties of the considered compounds. In the second phase the teaching is instead focused on the description of the different reactivity involved by different classes of compounds, rationalizing the study through the analysis of the relevant mechanisms. In the context of the described methodology the objectives to be achieved are: 1) attainment of a suitable degree of specialized knowledge, understood as the ability to invoke theories, rules, nomenclature etc.; 2) capacity to properly interpret and process the reaction schemes and propose alternatives to the encountered syntheses; 3) establish connections between different studied subjects.
- ORGANIC AND INORGANIC CHEMISTRY 2	Erogato in altro semestre o anno
- ORGANIC AND INORGANIC CHEMISTRY 1 (obiettivi) This course is an introduction to chemistry fundamentals addressed to students with limited chemistry background. The purpose of the course is to provide students with the knowledge of general chemistry principles, and with the tools to solve simple chemistry problems. At the end of the course the students are expected to know ho to apply the acquired chemical concepts to different fields, including pharmaceutical chemistry and biochemistry which are the subjects of further courses.	6	CHIM/03	48	-	-	-	Attività formative di base	ENG
1049253 - PRINCIPLES OF COMPUTER SCIENCE I (obiettivi) The goal of this course is to teach students the basic programming skills needed to deal with bioinformatics data. At the end of the course the students will be able to: - model problems of medium difficulty and solve them by programming; - decompose complex programming problems into simpler problems; - design and implement programs; - test programs; - analyze programs in terms of their correctness and efficiency; - use Python and its libraries.	6	INF/01	24	36	-	-	Attività formative di base	ENG
1049373 - BIOLOGY OF THE CELL (obiettivi) Students acquire the knowledge and thinking skills necessary to understand biological problems in a evolutionary perspective. The course will provide students with understanding of the basic molecular mechanisms that operate in living cells, with a focus on the flow of genetic information.
- BIOLOGY OF THE CELL 2	Erogato in altro semestre o anno
- BIOLOGY OF THE CELL 1 (obiettivi) Students acquire the knowledge and thinking skills necessary to understand biological problems in a evolutionary perspective. The course will provide students with understanding of the basic molecular mechanisms that operate in living cells, with a focus on the flow of genetic information.	6	BIO/13	40	-	12	-	Attività formative caratterizzanti	ENG
10596081 - PRINCIPLES OF PHYSICS (obiettivi) 1) Knowledge and understanding The course of "Principle of Physics" provides knowledge of the fundamental laws of classical physics. The course will emphasise on mechanics with elements of biophysics and fluids, and importantly the cardiovascular system. Basic terms and general knowledge of fundamental physics, in magnetism, electricity and wave and radiation interaction will be as well covered. 2) Applying knowledge and understanding The student will learn how to use the scientific method up to the modelling required to solve simple problems related to the knowledge acquired during the course. 3) Making judgements At the end of the course, the students will develop quantitative reasoning abilities and problem-solving skills, which represents the basis to study, model, and understand the world from the Physics point of view. 4) Communication skills The student will learn how to develop and communicate the knowledge acquired during the course by: - interaction with the teacher during office hours - course tests and expontaneous quiz. These targets are fundamental and will be acquired by regular exercises of variable degree that are encompassed within a highly modular and comprehensive lecture on Principle of Physics.	6	FIS/03	48	-	-	-	Attività formative di base	ENG

Secondo semestre

Insegnamento	CFU	SSD	Ore Lezione	Ore Eserc.	Ore Lab	Ore Studio	Attività	Lingua
1049371 - PRINCIPLES OF MATHEMATICS (obiettivi) Principles of mathematics 1: The aim of this course is to give the student sound mathematical basis in calculus of one or several variables and optimization in a way appropriate for a student of bioinformatics. An emphasis is given to applications and intuitive understanding of the underlying concepts. The first semester (Principles of Mathematics 1) will be devoted mainly to the study of functions of one variables, including limits, derivative and integrals. Basic optimisation results for functions of one variable will also be considered Knowledge and understanding The aim of the course is to give students a basic understanding of calculus in a way appropriate to bioinformatics students. Students will also be exposed to mathematics proofs as an example of rigorous scientific reasoning. Applying knowledge and understanding By the end of the course, students will be able to use basic mathematical tools as applied to different environments. They will also be able to interpret in a critical way results obtained by applying mathematical modelling technique. Making judgements Lectures and practical exercises will provide students with the basic ability in assessing the main strengths and weaknesses of mathematical models when used to explain empirical evidence. Communication By the end of the course, students will have basic mathematical skills that will help them to talk in an appropriate way about quantitative models. Lifelong learning skills Students are expected to develop learning skills necessary to undertake additional and more advanced studies involving mathematics and mathematical modelling in biology. Principles of Mathematics 2: The aim of this course is to give the student sound mathematical basis in calculus of one or several variables and optimization in a way appropriate for a student of bioinformatics. An emphasis is given to applications and intuitive understanding of the underlying concepts. The second semester (Principles of Mathematics 2) will be devoted mainly to the study of functions of several variables, linear algebra, and differential equations. Basic optimization results for functions of several variables will also be considered. Knowledge and understanding The aim of the course is to give students a basic understanding of calculus in a way appropriate to bioinformatics students. Students will also be exposed to mathematics proofs as an example of rigorous scientific reasoning. Applying knowledge and understanding By the end of the course, students will be able to use basic mathematical tools as applied to different environments. They will also be able to interpret in a critical way results obtained by applying mathematical modelling technique. Making judgements Lectures and practical exercises will provide students with the basic ability in assessing the main strengths and weaknesses of mathematical models when used to explain empirical evidence. Communication By the end of the course, students will have basic mathematical skills that will help them to talk in an appropriate way about quantitative models. Lifelong learning skills Students are expected to develop learning skills necessary to undertake additional and more advanced studies involving mathematics and mathematical modelling in biology.
- PRINCIPLES OF MATHEMATICS 2 (obiettivi) Principles of mathematics 1: The aim of this course is to give the student sound mathematical basis in calculus of one or several variables and optimization in a way appropriate for a student of bioinformatics. An emphasis is given to applications and intuitive understanding of the underlying concepts. The first semester (Principles of Mathematics 1) will be devoted mainly to the study of functions of one variables, including limits, derivative and integrals. Basic optimisation results for functions of one variable will also be considered Knowledge and understanding The aim of the course is to give students a basic understanding of calculus in a way appropriate to bioinformatics students. Students will also be exposed to mathematics proofs as an example of rigorous scientific reasoning. Applying knowledge and understanding By the end of the course, students will be able to use basic mathematical tools as applied to different environments. They will also be able to interpret in a critical way results obtained by applying mathematical modelling technique. Making judgements Lectures and practical exercises will provide students with the basic ability in assessing the main strengths and weaknesses of mathematical models when used to explain empirical evidence. Communication By the end of the course, students will have basic mathematical skills that will help them to talk in an appropriate way about quantitative models. Lifelong learning skills Students are expected to develop learning skills necessary to undertake additional and more advanced studies involving mathematics and mathematical modelling in biology. Principles of Mathematics 2: The aim of this course is to give the student sound mathematical basis in calculus of one or several variables and optimization in a way appropriate for a student of bioinformatics. An emphasis is given to applications and intuitive understanding of the underlying concepts. The second semester (Principles of Mathematics 2) will be devoted mainly to the study of functions of several variables, linear algebra, and differential equations. Basic optimization results for functions of several variables will also be considered. Knowledge and understanding The aim of the course is to give students a basic understanding of calculus in a way appropriate to bioinformatics students. Students will also be exposed to mathematics proofs as an example of rigorous scientific reasoning. Applying knowledge and understanding By the end of the course, students will be able to use basic mathematical tools as applied to different environments. They will also be able to interpret in a critical way results obtained by applying mathematical modelling technique. Making judgements Lectures and practical exercises will provide students with the basic ability in assessing the main strengths and weaknesses of mathematical models when used to explain empirical evidence. Communication By the end of the course, students will have basic mathematical skills that will help them to talk in an appropriate way about quantitative models. Lifelong learning skills Students are expected to develop learning skills necessary to undertake additional and more advanced studies involving mathematics and mathematical modelling in biology.	6	MAT/09	48	-	-	-	Attività formative di base	ENG
- PRINCIPLES OF MATHEMATICS 1	Erogato in altro semestre o anno
1049372 - ORGANIC AND INORGANIC CHEMISTRY (obiettivi) This course is an introduction to chemistry fundamentals addressed to students with limited chemistry background. The purpose of the course is to provide students with the knowledge of general chemistry principles, and with the tools to solve simple chemistry problems. At the end of the course the students are expected to know ho to apply the acquired chemical concepts to different fields, including pharmaceutical chemistry and biochemistry which are the subjects of further courses. The course aims to provide a correct knowledge of the fundamental principles of organic chemistry, proposing the contents into two distinct phases that are closely and logically linked. In the first phase the teaching is addressed to provide basic knowledge about classification and nomenclature of organic compounds, about the symbolism used to represent both structures and reactions, as well as over the chemical-physics, acid-base, nucleophilic-electrophilic properties of the considered compounds. In the second phase the teaching is instead focused on the description of the different reactivity involved by different classes of compounds, rationalizing the study through the analysis of the relevant mechanisms. In the context of the described methodology the objectives to be achieved are: 1) attainment of a suitable degree of specialized knowledge, understood as the ability to invoke theories, rules, nomenclature etc.; 2) capacity to properly interpret and process the reaction schemes and propose alternatives to the encountered syntheses; 3) establish connections between different studied subjects.
- ORGANIC AND INORGANIC CHEMISTRY 2 (obiettivi) The course aims to provide a correct knowledge of the fundamental principles of organic chemistry, proposing the contents into two distinct phases that are closely and logically linked. In the first phase the teaching is addressed to provide basic knowledge about classification and nomenclature of organic compounds, about the symbolism used to represent both structures and reactions, as well as over the chemical-physics, acid-base, nucleophilic-electrophilic properties of the considered compounds. In the second phase the teaching is instead focused on the description of the different reactivity involved by different classes of compounds, rationalizing the study through the analysis of the relevant mechanisms. In the context of the described methodology the objectives to be achieved are: 1) attainment of a suitable degree of specialized knowledge, understood as the ability to invoke theories, rules, nomenclature etc.; 2) capacity to properly interpret and process the reaction schemes and propose alternatives to the encountered syntheses; 3) establish connections between different studied subjects.	6	CHIM/06	48	-	-	-	Attività formative di base	ENG
- ORGANIC AND INORGANIC CHEMISTRY 1	Erogato in altro semestre o anno
1049376 - INTRODUCTION TO BIOMEDICAL STATISTICS (obiettivi) The course has the objective to deepen the practical understanding of the use of probability and statistics in the context of epidemiology and genetics and other biomedical applications.
- INTRODUCTION TO BIOMEDICAL STATISTICS 1 (obiettivi) Obiettivi formativi Obiettivo formativo dell’insegnamento è l'apprendimento da parte degli studenti dei fondamenti del calcolo delle probabilità e della statistica. Conoscenza e capacità di comprensione Alla fine del corso gli studenti conoscono e comprendono come formalizzare l’incertezza, descrivere quantitativamente le caratteristiche di una popolazione e come fare inferenza su parametri non noti. Capacità di applicare conoscenza e comprensione Gli studenti apprendono come impostare un problema di probabilità o statistica. Autonomia di giudizio La discussione dei vari metodi fornisce agli studenti le capacità necessarie per analizzare criticamente, ed in autonomia, situazioni reali. Abilità comunicativa Gli studenti acquisiscono gli elementi di base per ragionare, e far ragionare, in termini quantitativi su problemi di incertezza e statistica. Capacità di apprendimento Gli studenti che superano l’esame sono in grado di applicare i metodi appresi in diversi contesti applicativi.	6	SECS-S/01	48	-	-	-	Attività formative di base	ENG
- INTRODUCTION TO BIOMEDICAL STATISTICS 2 (obiettivi) The course has the objective to deepen the practical understanding of the use of probability and statistics in the context of epidemiology and genetics and other biomedical applications.	6	MED/01	48	-	-	-	Attività formative di base	ENG
1049373 - BIOLOGY OF THE CELL (obiettivi) Students acquire the knowledge and thinking skills necessary to understand biological problems in a evolutionary perspective. The course will provide students with understanding of the basic molecular mechanisms that operate in living cells, with a focus on the flow of genetic information.
- BIOLOGY OF THE CELL 2 (obiettivi) Students acquire the knowledge and thinking skills necessary to understand biological problems in a evolutionary perspective. The course will provide students with understanding of the basic molecular mechanisms that operate in living cells, with a focus on the flow of genetic information.	6	BIO/13	48	-	-	-	Attività formative caratterizzanti	ENG
- BIOLOGY OF THE CELL 1	Erogato in altro semestre o anno

Secondo anno

Primo semestre

Insegnamento	CFU	SSD	Ore Lezione	Ore Eserc.	Ore Lab	Ore Studio	Attività	Lingua
1052115 - GENETICS AND COMPUTATIONAL GENOMICS (obiettivi) General skills The course of Genetics and computational genomics provides students with a basic knowledge of Genetics aimed at understanding the rules of inheritance, their molecular bases, their main applications and their implications for evolution. In addition, the course will allow students to understand how genetic information is encoded at the DNA level and how it contribute to phenotypic variability. Fundamentals concepts in functional genetics and evolution will be reconsidered in light of the sequencing and re-sequencing projects. The student will be also provided of practical and theoretical tools to solve genetic problems and to use databases for storage, management, analysis, and visualization of genetic data. Specific skills A) Knowledge and understanding -Knowledge and understanding of the characteristics of the genetic material -Knowledge and understanding of the rules of genetic transmission -Knowledge and understanding of mutations and their implications -Basic knowledge on the dynamics of genes in populations as well as on the genetic mechanisms underlying evolution - Knowledge and understanding of informatic methods used for genomic analyses B) Applying knowledge and understanding - Usage of a proper genetic terminology - Identification of the right procedures to solve genetic problems - Formulation of hypotheses on the hereditary transmission of characters - Constructing and interpreting genetic maps and genealogical trees - Acquisition of conceptual tools for the genetic dissection of biological systems - Management of genomic browsers and programs for storage, management analysis, and visualization of “big data” C) Making judgements - Acquisition of a critical judgment capacity on solving problems of formal genetics, through the study of the evolution of the gene concept from Mendel to the present day and the detailed analysis of some fundamental experiments - Addressing questions for the elaboration and deepening of the gained information D) Communication skills - Communicating the genetic concepts acquired during the course with appropriate terminology E) Learning skills - Logically connecting the acquired knowledge - Identification of the most relevant topics of the issues discussed during the course	6	BIO/18	48	-	-	-	Attività formative caratterizzanti	ENG
1049261 - PRINCIPLES OF COMPUTER SCIENCE II (obiettivi) The course aim to introduce the algorithmic approach to solving problems correctly and efficiently. Algorithms are ubiquitous in bioinformatics and are often at the interface of computer science and biology. Well established algorithmic techniques will be studied as well as ways to encode them in a computer programme using python.	6	ING-INF/05	48	-	-	-	Attività formative affini ed integrative	ENG
1049256 - MICROBIOLOGY (obiettivi) Microorganisms play a key role in the environment, in human health and in biotechnological research. The course of Microbiology aims to provide the basic principles of structure, function and evolution of microbial cells, with particular regard to bacterial cells. The knowledge and skills acquired during this course will represent a framework for the study of bioinformatics and biotechnological applications of microorganisms, and for the analysis of their impact on human health and the environment. Students who have passed the exam will know and understand (acquired knowledge) - The structural and functional diversity which is present in the microbial world; - The mechanisms responsible for the structure and functioning of bacterial cells; - The mechanisms responsible for the evolution of bacterial species; - The structure and life cycles of viruses; - The methods and strategies for the control of microbial growth. Students who have passed the exam will be able to (acquired skills): - Understand and analyse microbiological data; - Critically analyze the issues related to the evolution and diffusion of multi-resistant antibiotic bacteria; - Understand and design experimental and bioinformatics approaches for the study and exploitation of bacteria for biotechnological and environmental purposes; - Identify and develop key themes to build educational paths in microbiology.	6	BIO/19	40	-	12	-	Attività formative caratterizzanti	ENG
1049375 - MOLECULAR BIOLOGY (obiettivi) General goals The course aims to introduce the students to the links between DNA, RNA and protein structure and their relevant biological functions with particular emphasis on the bioinformatic approaches to their analysis. Specific goals 1. Knowledge and comprehension: the students will have to know the molecular mechanisms which regulate cellular homeostasis and gene expression and the most utilized methodologies in Molecular Biology. 2. Ability in applying Knowledge and comprehension: the students will have to be able to apply this knowledge in the discussion of specific arguments of recent and general interest with a particular focus on the bioinformatic approaches. 3. Abilities in judging methodologic approaches and communication skill: The students will have to show skills in judging strategies in biological problems solving and to communicate their conclusions to the teacher and to the colleagues. This is also applicable to the practical training sessions. 4. The students will have to show skill in applying what they have learned in molecular biology to specific problems to be solved with a bioinformatic approach.
- MOLECULAR BIOLOGY 2	Erogato in altro semestre o anno
- MOLECULAR BIOLOGY 1 (obiettivi) General goals The course aims to introduce the students to the links between DNA, RNA and protein structure and their relevant biological functions with particular emphasis on the bioinformatic approaches to their analysis. Specific goals 1. Knowledge and comprehension: the students will have to know the molecular mechanisms which regulate cellular homeostasis and gene expression and the most utilized methodologies in Molecular Biology. 2. Ability in applying Knowledge and comprehension: the students will have to be able to apply this knowledge in the discussion of specific arguments of recent and general interest with a particular focus on the bioinformatic approaches. 3. Abilities in judging methodologic approaches and communication skill: The students will have to show skills in judging strategies in biological problems solving and to communicate their conclusions to the teacher and to the colleagues. This is also applicable to the practical training sessions. 4. The students will have to show skill in applying what they have learned in molecular biology to specific problems to be solved with a bioinformatic approach.	6	BIO/11	48	-	-	-	Attività formative di base	ENG
1049377 - BIOCHEMISTRY (obiettivi) Educational aims i.e what is the purpose of the course and general statements about the learning that takes place over the duration of the course 1. To give students a good understanding of the major areas of Biochemistry 2. To develop students’ understanding of the application of biochemical principles to other areas of biology and biomedical sciences 3. To develop students’ awareness of the role of Biochemistry both as a research discipline and its applications 4. Develop the key skills required for independent evaluation of data, critical appraisal of scientific literature. 5. Develop confidence in oral presentation skills to specialized audiences, and the ability to write scientific reports. Knowledge and understanding The course provides a knowledge and understanding of the following: 1. Key concepts in areas of direct relevance to biochemistry 2. Structure and function of proteins 3. Key concepts in enzymology, metabolic pathways and their regulation 4. Mechanisms of enzymatic reactions, Michaelis-Menten kinetics. The most important metabolic pathways of carbohydrates, lipids, fatty acids and amino acids and connections between the metabolic pathways 5. Relevance of the knowledge of enzymic mechanisms, the metabolic pathways for research in metabolomics applied to human health issues and to pharmaceutical chemistry. 6. 7. Role of hormones in cellular communications and signal transduction 8. Theoretical basis of key biochemical and immunological practical techniques 9. Theoretical basis of the determination of protein structure 10. Basis of bioinformatics and sequence/structure analysis 11. Awareness of major issues currently at the forefront of Biochemistry research Teaching/learning methods and strategies The above mentioned points are achieved through lectures, group work and formative assessments, and are reviewed and reinforced in tutorials. Intellectual/Communication skills and Judgements 1. Interpret and analyze biochemical data with a critical understanding of the appropriate contexts for their use 2. Integrate subject knowledge and understanding to explore and solve familiar and unfamiliar problems 3. Understand Biochemistry literature 4. Produce critical and original pieces of written work on biochemical topics 5. Think critically about their own work/research and to input into the formulation of future hypotheses and experiments 7. Ability to present Biochemistry to audiences of differing scientific knowledge 8. Computer skills, to include molecular viewers, data analysis/presentation, spreadsheets and statistical analysis.
- BIOCHEMISTRY 2	Erogato in altro semestre o anno
- BIOCHEMISTRY 1 (obiettivi) KNOWLEDGE AND UNDERSTANDING The students will acquire the knowledge necessary for the understanding of the structures and functions of the living matter in molecular terms. Structures and functions of proteins, lipids, phospholipids. Structure-function relationship of protein and folding. Fibrous and globular proteins. Antibodies and their applications in analytical biochemistry. Importance of kinetics and thermodynamics in biochemistry. Biological membranes and transport systems. Mechanisms of enzymic reactions, Michaelis-Menten kinetics. The most important metabolic pathways of carbohydrates, lipids, fatty acids and amino acids. Mechanisms of regulation of metabolic pathways, production and conservation of energy. Connections between the metabolic pathways. Some aspects of the forefront research in biochemistry and, in particular, in metabolomic research, will also be illustrated, supported by advanced textbooks and scientific articles. APPLYING KNOWLEDGE AND UNDERSTANDING The students will gain an insight into the relevance of the knowledge of biochemistry for pharmaceutical chemistry, biotechnology and, in particular, metabolomic research applied to human health. The knowledge acquired during the lectures will be consolidated by exercises regarding the single topics. Also, examples of problems which can be solved only by applying the knowledge on the enzymic mechanisms, metabolic pathways and their connections, will be proposed. The students will be encouraged to tackle the problems and to put forward the ideas on the possible solutions. The importance of the constant updating on the progress in the research will also be highlighted. MAKING JUDGEMENTS The knowledge and the understanding of the single topics will be consolidated through discussions regarding the conceptual and methodological approaches used in the studies on the metabolic reactions and on the connections among the metabolic pathways. The students will be encouraged to apply the acquired knowledge to new problems. The discussions on the topics regarding the programme, presented in an interdisciplinary framework, together with the acquired knowledge, will help to develop the ability to make autonomous judgements, to gather and interpret relevant data regarding issues in biochemistry. In particular, examples of metabolomic research will be presented and the students will be encouraged to tackle the problems and put forward the ideas on the possible solutions. COMMUNICATION The knowledge of the biochemical bases of biological processes oriented towards applications in medicine and pharmaceutical research and framed in an interdisciplinary context, as well as the correct use of the biochemical terminology, contributes to develop the ability to communicate with specialist and nonspecialist interlocutors. LEARNING SKILLS The knowledge of the fundamentals of biochemistry and the ability to interpret the data, as well as the insight gained into the strategies of biochemical research, will enable the students to develop those skills needed to undertake further studies requiring a higher level of autonomy, such as the Master degree	6	BIO/10	40	12	-	-	Attività formative caratterizzanti	ENG

Secondo semestre

Insegnamento	CFU	SSD	Ore Lezione	Ore Eserc.	Ore Lab	Ore Studio	Attività	Lingua
1049260 - IMMUNOLOGY AND MOLECULAR PATHOLOGIES (obiettivi) Learning results This course is aimed at providing an overview of the most important cellular and molecular mechanisms involved in the regulation of the immune response. The factors regulating immune system will be put in relation to the molecular mechanisms governing resistance against pathogens and promoting pathologies related to a defective immune response. Specific aims Student will acquire fundamental knowledge on - how immune cells function and interplay to participate to immune responses - how immune system protects us from pathogens and how mechanisms that inhibit immune responses lead to disease state. - how interpretation of transcriptomic and proteomic data helps to elucidate mechanisms of development of the immune response. At the end of the course, students will be able to explain how immune system works and to understand and explain data obtained from multiparametric analysis of immune cell function at transcriptional and post-transcriptional levels. The use of bioinformatics tools to clarify the molecular processes underlying pathologies and their use in diagnosis and treatment of diseases will be discussed. At the end of the course, students will be able to perform bibliographic searches in public scientific data banks (i.e. PubMed) to develop the topics covered in the course. This will be instrumental to identify the most recent methods of bioinformatic analysis used to approach immunology issues. The independent ability of the student to propose solutions to solve immunological questions is and aim of the course. Communication skills will be verified during the course by stimulating discussion and implemented by suggestions and the critical analysis of the slides presented during the course	6	MED/04	48	-	-	-	Attività formative caratterizzanti	ENG
1049375 - MOLECULAR BIOLOGY (obiettivi) General goals The course aims to introduce the students to the links between DNA, RNA and protein structure and their relevant biological functions with particular emphasis on the bioinformatic approaches to their analysis. Specific goals 1. Knowledge and comprehension: the students will have to know the molecular mechanisms which regulate cellular homeostasis and gene expression and the most utilized methodologies in Molecular Biology. 2. Ability in applying Knowledge and comprehension: the students will have to be able to apply this knowledge in the discussion of specific arguments of recent and general interest with a particular focus on the bioinformatic approaches. 3. Abilities in judging methodologic approaches and communication skill: The students will have to show skills in judging strategies in biological problems solving and to communicate their conclusions to the teacher and to the colleagues. This is also applicable to the practical training sessions. 4. The students will have to show skill in applying what they have learned in molecular biology to specific problems to be solved with a bioinformatic approach.
- MOLECULAR BIOLOGY 2 (obiettivi) General goals The course aims to introduce the students to the links between DNA, RNA and protein structure and their relevant biological functions with particular emphasis on the bioinformatic approaches to their analysis. Specific goals: 1. Knowledge and comprehension: the students will have to know the molecular mechanisms which regulate cellular homeostasis and gene expression and the most utilized methodologies in Molecular Biology. 2. Ability in applying Knowledge and comprehension: the students will have to be able to apply this knowledge in the discussion of specific arguments of recent and general interest with a particular focus on the bioinformatic approaches. 3. Abilities in judging methodologic approaches and communication skill: The students will have to show skills in judging strategies in biological problems solving and to communicate their conclusions to the teacher and to the colleagues. This is also applicable to the practical training sessions. 4. The students will have to show skill in applying what they have learned in molecular biology to specific problems to be solved with a bioinformatic approach.	6	BIO/11	32	-	24	-	Attività formative di base	ENG
- MOLECULAR BIOLOGY 1	Erogato in altro semestre o anno
1049377 - BIOCHEMISTRY (obiettivi) Educational aims i.e what is the purpose of the course and general statements about the learning that takes place over the duration of the course 1. To give students a good understanding of the major areas of Biochemistry 2. To develop students’ understanding of the application of biochemical principles to other areas of biology and biomedical sciences 3. To develop students’ awareness of the role of Biochemistry both as a research discipline and its applications 4. Develop the key skills required for independent evaluation of data, critical appraisal of scientific literature. 5. Develop confidence in oral presentation skills to specialized audiences, and the ability to write scientific reports. Knowledge and understanding The course provides a knowledge and understanding of the following: 1. Key concepts in areas of direct relevance to biochemistry 2. Structure and function of proteins 3. Key concepts in enzymology, metabolic pathways and their regulation 4. Mechanisms of enzymatic reactions, Michaelis-Menten kinetics. The most important metabolic pathways of carbohydrates, lipids, fatty acids and amino acids and connections between the metabolic pathways 5. Relevance of the knowledge of enzymic mechanisms, the metabolic pathways for research in metabolomics applied to human health issues and to pharmaceutical chemistry. 6. 7. Role of hormones in cellular communications and signal transduction 8. Theoretical basis of key biochemical and immunological practical techniques 9. Theoretical basis of the determination of protein structure 10. Basis of bioinformatics and sequence/structure analysis 11. Awareness of major issues currently at the forefront of Biochemistry research Teaching/learning methods and strategies The above mentioned points are achieved through lectures, group work and formative assessments, and are reviewed and reinforced in tutorials. Intellectual/Communication skills and Judgements 1. Interpret and analyze biochemical data with a critical understanding of the appropriate contexts for their use 2. Integrate subject knowledge and understanding to explore and solve familiar and unfamiliar problems 3. Understand Biochemistry literature 4. Produce critical and original pieces of written work on biochemical topics 5. Think critically about their own work/research and to input into the formulation of future hypotheses and experiments 7. Ability to present Biochemistry to audiences of differing scientific knowledge 8. Computer skills, to include molecular viewers, data analysis/presentation, spreadsheets and statistical analysis.
- BIOCHEMISTRY 2 (obiettivi) Educational aims i.e what is the purpose of the course and general statements about the learning that takes place over the duration of the course 1. To give students a good understanding of the major areas of Biochemistry 2. To develop students’ understanding of the application of biochemical principles to other areas of biology and biomedical sciences 3. To develop students’ awareness of the role of Biochemistry both as a research discipline and its applications 4. Develop the key skills required for independent evaluation of data, critical appraisal of scientific literature. 5. Develop confidence in oral presentation skills to specialized audiences, and the ability to write scientific reports. Knowledge and understanding The course provides a knowledge and understanding of the following: 1. Key concepts in areas of direct relevance to biochemistry 2. Structure and function of proteins 3. Key concepts in enzymology, metabolic pathways and their regulation 4. Mechanisms of enzymatic reactions, Michaelis-Menten kinetics. The most important metabolic pathways of carbohydrates, lipids, fatty acids and amino acids and connections between the metabolic pathways 5. Relevance of the knowledge of enzymic mechanisms, the metabolic pathways for research in metabolomics applied to human health issues and to pharmaceutical chemistry. 6. 7. Role of hormones in cellular communications and signal transduction 8. Theoretical basis of key biochemical and immunological practical techniques 9. Theoretical basis of the determination of protein structure 10. Basis of bioinformatics and sequence/structure analysis 11. Awareness of major issues currently at the forefront of Biochemistry research Teaching/learning methods and strategies The above mentioned points are achieved through lectures, group work and formative assessments, and are reviewed and reinforced in tutorials. Intellectual/Communication skills and Judgements 1. Interpret and analyze biochemical data with a critical understanding of the appropriate contexts for their use 2. Integrate subject knowledge and understanding to explore and solve familiar and unfamiliar problems 3. Understand Biochemistry literature 4. Produce critical and original pieces of written work on biochemical topics 5. Think critically about their own work/research and to input into the formulation of future hypotheses and experiments 7. Ability to present Biochemistry to audiences of differing scientific knowledge 8. Computer skills, to include molecular viewers, data analysis/presentation, spreadsheets and statistical analysis.	6	BIO/10	40	-	12	-	Attività formative caratterizzanti	ENG
- BIOCHEMISTRY 1	Erogato in altro semestre o anno
1049264 - PHARMACEUTICAL CHEMISTRY (obiettivi) During the course the student will learn the basics to design a drug through computational methods. The aim of the course is to impart an understanding of what medicinal chemists consider when attempting to design new pharmaceuticals. The course is twofold: a theoretical part and practical section. In the first part the course will describe the principles involved in modern drug design and drug discovery, usually with reference to compounds in current clinical usage. In the second part practical sections will be set up to teach the student some computational methods to apply in the drug design process.	6	CHIM/08	32	40	-	-	Attività formative caratterizzanti	ENG
10592707 - BIOINFORMATICS I (obiettivi) L'obiettivo del corso è fornire agli studenti un'introduzione alle tecniche pratiche e alle risorse disponibili sul web per la bioinformatica. Sarà data enfasi alla familiarizzazione degli studenti con l'applicazione di un'ampia varietà di strumenti bioinformatici e database biologici per svolgere attività di ricerca di base (compreso l'accesso ai principali database pubblici di sequenze, ricerca avanzata e recupero di set di dati di espressioni specifici, analisi di espressione differenziale, allineamento di sequenze proteiche) attraverso un ampio uso di tutorial e sessioni di allenamento pratico.	6	BIO/11	48	-	-	-	Attività formative affini ed integrative	ENG

Terzo anno

Primo semestre

Insegnamento

CFU

SSD

Ore Lezione

Ore Eserc.

Ore Lab

Ore Studio

Attività

Lingua

1049266 - BIOINFORMATICS II (obiettivi)

This course offers an introduction to network medicine, a rapidly emerging field that integrates systems biology and network science. It runs counter to the prevailing scientific reductionist trend that dominates current medical research on disease etiology and treatment. Reductionism relies on single molecules or single genes to provide comprehensive and robust insights into the pathophysiology of complex diseases. Similarly, current drug development methodologies target single molecules that very frequently fail because of the unforeseen and unintended effects that result from the application of this piecemeal approach to pharmacology. In contrast, network medicine emphasizes a more holistic approach through the identification and investigation of networks of interacting molecular and cellular components. When network medicine is integrated into biomedical research, it has the potential to transform investigations of disease etiology, diagnosis, and treatment.

The course will explore the concept of network medicine through: (1) a review of the role, identification, and behavior of networks in biology and disease, (2) the integration of multiple types of -omics data into networks as a paradigm for understanding disease expression and course, and (3) systems pharmacology approaches for the development and evaluation of effective therapies of complex disease.

Moreover, this course will provide hands-on experience in the analysis of two specific types of biological networks—gene co-expression networks and drug-disease networks. During the course, attendees will apply the theory to real data sets.
After completing the course, attendees should to be able to apply these methods in their own research.

The course goals are:

Understand the role of networks in biology and disease.
Understand networks as a paradigm for disease expression and course.
Understand the challenges of developing effective therapies for complex diseases.
Understand the role of omics data in networks.
Understand network medicine in terms of investigation for disease etiology, diagnosis, and treatment.

ING-INF/06

Attività formative affini ed integrative

ENG

1049265 - BIOETHICS (obiettivi)

MED/02

Attività formative caratterizzanti

ENG

1049258 - MOLECULAR BIOLOGY AND GENOMICS (obiettivi)

General skills
The new generation of sequencing technologies has provided unforeseen chances for high-throughput functional genomic studies. These technologies have been applied in a variety of contexts, including whole-genome sequencing, discovery of transcription factor binding sites, mapping out the DNA accessibility and RNA expression profiling. Intriguingly, recent annotation efforts focused on the discovery of novel noncoding RNA genes and regulatory elements that control temporal or spatial gene expression along cell differentiation. The course of Molecular Biology and Genomics is designed to provide students with an introduction to the structure and function of genomes and transcripts in humans and in other model organisms. Topics discussed will include modern genome sequencing technologies, as well the recent in silico and in vivo approaches used for functional genomics and for the functional role of emerging non-coding RNA classes (practical examples taken from recent literature will be used). The course also provides students with basic knowledge for accessing browsers and public databases for the analysis of gene expression data, GO and miRNA target prediction software.
By the end of the course, students will be able to apply the acquired knowledge to the study of the basic mechanisms of gene expression, as well as of complex processes such as development, cell division and differentiation, and to exploit them for a practical use in both basic and applied research.

Specific skills
The students who have passed the exam will be able to know and to understand (acquired knowledge)

- the origin and the maintenance of the biological complexity;
- the structure and function of the genome in humans and in the main model systems;
- the problems and technologies of genome-wide analyses applied to biological processes;
- the influence of the modern sequencing technologies for a better description and for the study of transcriptome dynamics in humans and in the main model systems;
- the network of interactions between the biological molecules in the mechanisms of regulation of gene expression.

The students who have passed the exam will be able to (acquired expertise):
- interpret the biological phenomena in a multi-scale and multi-factorial context;
- interpret the results of genomic studies and to discriminate which techniques to apply according to the different problems to be dealt with in the genomic field;
- report works already present in the literature in the form of an oral presentation.

BIO/11

Attività formative caratterizzanti

ENG

Gruppo opzionale: Gruppo OPZIONALE - (visualizza)

10592651 - COMPUTATIONAL SYSTEMS BIOLOGY (obiettivi) This course aims to provide students with a practical and hands-on experience with common modeling and simulation tools in molecular biology. It would be expected that after completing this course a student would be able to model and simulate using Matlab a biomolecular systems like, for example, a gene regulatory network using the appropriate methodology. Further, students will understand the basic theory behind these modeling tecniques and critically analyze the results of their analysis.	6	ING-INF/06	24	36	-	-	Attività formative affini ed integrative	ENG
1049268 - SIGNAL PROCESSING AND INFORMATION THEORY	Erogato in altro semestre o anno
1049269 - ALGORITHMS	Erogato in altro semestre o anno
1049270 - COMPLEX BIOMOLECULAR NETWORKS (obiettivi) The course aims to provide basics concepts and tools for complex networks analysis. The attendee will be able to apply complex networks concepts to biological networks and explore the underlying process and molecular related issues.	6	ING-INF/05	48	-	-	-	Attività formative affini ed integrative	ENG
1049271 - PLANT FUNCTIONAL GENOMICS (obiettivi) General skills The course of Plant Functional Genomics aims to provide advanced knowledge of plant genomes, with particular attention to the use of this knowledge in order to identify new genes and determine their function. Specific skills A) Knowledge and understanding To acquire detailed knowledge of: - methods of analysis of plant genomes and the peculiar difficulties related to these organisms (polyploidy, repetitive DNA); - the structure of the plant nuclear and plastidic genomes; - genome comparison methods, with particular attention to the identification of homologous, orthologue and paralogue genes; - methods of transfer of information on genes from model species to species of agricultural interest; - methods of integration of genomics and gene expression analysis data; - methods and approaches to study of the function of genes in model species and in crops, with approaches of direct and reverse genetics; - methods of transient and stable transformation; - identification and use of molecular markers in plant genetics; - use of genomic data to identify genes involved in agronomic traits. - the mechanisms of epigenetic regulation in plants and the methods to study them; - silencing and "genome editing" mechanisms in plant organisms; B) Applying knowledge and understanding - design experiments aimed at defining the function of a gene through reverse genetic approaches; - design genetic screening in plant model systems and outline the main lines of identification of a mutation; - understand and critically discuss the different approaches used to alter the expression of a gene in a plant and choose the most appropriate one according to the needs and the experimental model; - designing the engineering of new traits in plant organisms. C) Making judgements - Critical judgment skills, through the study of reviews and scientific articles on key aspects of the field and in-depth discussions; - Ability to evaluate the correctness and scientific rigor in the topics related to the topics covered by the course. D) Communication skills - Acquisition of adequate skills and useful tools for communication in Italian and in foreign languages (English), through the use of graphic and formal languages, with particular regard to the scientific language. E) Learning skills - Ability to interpret and deepen knowledge; - Ability to use cognitive tools for continuous updating of knowledge; - Ability to compare for the consolidation and improvement of knowledge.	6	BIO/04	48	-	-	-	Attività formative affini ed integrative	ENG
1049272 - PRINCIPLES OF GENERAL PATHOLOGY (obiettivi) OVERALL OBJECTIVES: The general aim of this course is to give to the student the basic knowledge concerning: 1) the fundamental molecular mechanisms that regulate human disease processes; 2) how recent biotechnological advances and next generation sequencing approaches can be integrated in the characterization of the pathologies; 3) the different types of genetically modified murine models for the study and the cure of human pathologies; 4) the main bioinformatic tools in this field. SPECIFIC OBJECTIVES: At the end of the course the student will be able, by applying the knowledge acquired during the course: 1) perform bibliographic searches on international databases; 2) perform data mining on most widely used databases 3) integrate notions acquired during lectures and international scientific literature; 4) understand the principal mechanisms of most common pathologies and how these can be studied with the aid of next generation sequencing approach; 4) to hypothesize the generation of animal models for the pathophysiological study of human diseases and for the identification of therapeutic targets; 5) to critically evaluate the best bioinformatic tools for achieving these results or alternatively, to pursue the replacement of animal experimentation. KNOWLEDGE AND UNDERSTANDING: At the end of the course the student woud be able to know: Concept and causes of alteration in the cell, from homeostasis to disease; Next generation Sequencing (NGS) technique used for different applications, from the study of genomes, chromatin accessibility and trascriptome; Molecular and cellular pathology of cancer; Pathogenetic mechanisms of non-coding RNAs; Stem cells: embryonic stem cells, tissue stem cells and cancer stem cells; advantages and limits of genetically modified murine models; the basic technical and bioinformatic tools concerning the generation, the characterization and the maintenance of murine colonies; the specific traits of the different types of genetically modified murine models, both conventional and conditional; the bioinformatic tools to potentially validate mouse models of human diseases. APPLYING KNOWLEDGE AND UNDERSTANDING: To apply the acquired knowledge to integrate information gathered from different sources (datasets, material obtained during lectures, and scientific literature); to understand different mechanisms that contribute to pathogenesis and how these mechanisms can be studied, with particular focus on NGS-based technologies; to discriminate advantages and limits in generating and using different types of genetically modified murine models for the study and the cure of human pathologies; to critically evaluate the bioinformatic means available to pursue these aims. MAKING JUDGEMENTS: The student will be able to link the different types of notions acquired during the course to elaborate the most appropriate experimental strategy based on bioinformatic tools and able to solve research problems in the field of general pathology. COMMUNICATION: The student will be able to perform oral presentation of scientific data, with the aid of Power Point software. Notions acquired during the course will be evaluated during the exam. LIFELONG LEARNING SKILLS: The notions, the tools and the notes available during the course will contribute in developing the competence for the autonomous study and continuous updating in the field of the Bioinformatics applied to the general pathology.	6	MED/46	48	-	-	-	Attività formative affini ed integrative	ENG
1049273 - OPTIMIZATION METHODS FOR COMPUTATIONAL BIOLOGY (obiettivi) The course gives an introduction on the basic tools for mathematical modeling and solving decision and optimization problems that arise in bioinformatics. At the end of the course, students should be able to recognize such problems, build mathematical models for them, and solve them using a number of modeling techniques and solution algorithms, also by means of specific software tools. Expected learning outcomes (Dublin Descriptors): 1. Understand all basic mathematical aspects of solving linear, linear integer, and nonlinear convex optimization problems. Understand main modeling techniques in mathematical programming. 2. Be able to develop an optimization model from a decision problem with quantitative data. Be able to select and use suitable software to solve such model. 3. Be able to identify weaknesses of optimization models and limits of numerical solvers (students develop these abilities also during any practical test of the course when they practically solve relevant decision problems). 4. Be able to describe any aspect of a mathematical program and of the main algorithms for the solution of linear, linear integer, and nonlinear programs (students develop these abilities also during any practical test of the course when they practically solve relevant decision problems by working in groups). 5. Get mathematical basis to self-study solution techniques for complex mathematical programs such as nonconvex and multi-objective programming.	6	MAT/09	48	-	-	-	Attività formative affini ed integrative	ENG
1049285 - BIOINFORMATICS IN PLANT PATHOLOGY (obiettivi) General skills A modern plant pathologist has to face this complex reality, plan experiments at real scale, "sucks the marrow out of -omics" (par. Walt Whitman) by using bioinformatics tools, individuate biocontrol agents and stimulate plant self-defences. In relation to this, the main aim of this course is forming young scientists in managing plant diseases tout court by the mean of the -omics plus bioinformatics tools Specific skills A) Knowledge and understanding - Introduction to Plant Pathology: the concept of disease - The Pathogens: from virus to fungi, different strategies for different pathogens - The Pathobiome concept - Integrated Pest Management: how to couple food security with food safety - Pathogenomics; how genomics meets pathogen B) Applying knowledge and understanding - how using specific terminology of a plant pathologist - Identify the main factors causing disease in major crops - Establish the salient features of a cycle of infection of a pathogen - Identify important activities and genes in plant resistance - Identify the important activities and genes in the virulence of pathogens - Outline novel strategies for controlling plant diseases C) Making judgements - Identification of new perspectives / development strategies for the protection of crops - Evaluation, interpretation and reprocessing of literature data in the field of molecular plant-microbe interactions D) Communication skills - Ability to illustrate the results of research and experimentation carried out in the context of the exercises - Ability to understand manuscripts in English and to indicate the salient features of the oral exam E) Learning skills - Learn the specific terminology of plant pathologist - Logically connect the acquired knowledge in the field of molecular plant-microbe interactions - Identify the most relevant topics of the subjects dealt with - how consulting specialist databases (e.g. ncbi, kegg, string, uniprot)	6	AGR/12	48	-	-	-	Attività formative affini ed integrative	ENG

Secondo semestre

Insegnamento

CFU

SSD

Ore Lezione

Ore Eserc.

Ore Lab

Ore Studio

Attività

Lingua

Gruppo opzionale: Gruppo OPZIONALE - (visualizza)

10592651 - COMPUTATIONAL SYSTEMS BIOLOGY	Erogato in altro semestre o anno
1049268 - SIGNAL PROCESSING AND INFORMATION THEORY (obiettivi) The course consists in a introduction to signal processing fundamentals. It is intended to provide an understanding and working familiarity with the fundamentals of signal processing and is suitable for a wide range of people involved with and/or interested in signal processing applications. Its goals are to enable students to apply digital signal processing concepts to their own field of interest, to make it possible for them to read the technical literature on digital signal processing, and to provide the background for the study of more advanced topics and applications.	6	ING-INF/03	48	-	-	-	Attività formative affini ed integrative	ENG
1049269 - ALGORITHMS (obiettivi) Obiettivi generali Acquisire la conoscenza di base delle più note tecniche algoritmiche di progettazione e delle tecniche di valutazione della correttezza e della complessità degli algoritmi. Obiettivi specifici Conoscenza e comprensione: Al termine del corso gli studenti posseggono le conoscenze di base relative a: - tecniche fondamentali di progettazione algoritmica; - analisi della correttezza e della efficienza degli algoritmi; Applicazione di conoscenza e comprensione: Al termine del corso gli studenti sono in grado di: - analizzare le prestazioni di un algoritmo tramite strumenti matematici rigorosi; - analizzare algoritmi e strutture dati - progettare ed analizzare nuovi algoritmi, sfruttando le metodologie presentate durante il corso. Autonomia di giudizio: Lo studente alla fine del corso deve essere in grado di scegliere autonomamente qual è la tecnica algoritmica più adatta da applicare per un determinato problema e valutare tra più soluzioni algoritmiche per un certo problema qual’è da preferirsi. Abilità comunicative: Lo studente acquisirà la capacità di esprimere un’idea algoritmica tramite l’uso di uno pseudocodice. Capacità di apprendimento: Lo studente avrà acquisito la capacità di analizzare un problema, progettare le necessarie strutture dati e un algoritmo corretto ed efficiente che lo risolva.	6	INF/01	48	-	-	-	Attività formative affini ed integrative	ENG
1049270 - COMPLEX BIOMOLECULAR NETWORKS	Erogato in altro semestre o anno
1049271 - PLANT FUNCTIONAL GENOMICS	Erogato in altro semestre o anno
1049272 - PRINCIPLES OF GENERAL PATHOLOGY	Erogato in altro semestre o anno
1049273 - OPTIMIZATION METHODS FOR COMPUTATIONAL BIOLOGY	Erogato in altro semestre o anno
1049285 - BIOINFORMATICS IN PLANT PATHOLOGY	Erogato in altro semestre o anno

AAF1749 - FOR THE FINAL TEST (obiettivi)

Per la prova finale e la lingua straniera (art.10, comma 5, lettera c)

ENG

AAF1750 - FURTHER LINGUISTIC KNOWLEDGE

Ulteriori attività formative (art.10, comma 5, lettera d)

ENG

AAF1752 - STAGES AND PROFESSIONAL TRAINING (obiettivi)

Ulteriori attività formative (art.10, comma 5, lettera d)

ENG

AAF1753 - OTHER KNOWLEDGE USEFUL FOR ENTERING INTO THE WORK MARKET (obiettivi)

Ulteriori attività formative (art.10, comma 5, lettera d)

ENG

- - Elective course

Attività formative a scelta dello studente (art.10, comma 5, lettera a)

ENG

TOTALE

180

Corso di laurea: Bioinformatics - Bioinformatica A.A. 2020/2021

Obiettivi formativi e sbocchi professionali Regolamento didattico del corso Programmazione

Conoscenza e capacità di comprensione

Capacità di applicare conoscenza e comprensione

Autonomia di giudizio

Abilità comunicative

Capacità di apprendimento

Requisiti di ammissione

Prova finale

Orientamento in ingresso