1049371 | PRINCIPLES OF MATHEMATICS | 1º | 12 | MAT/09 | ENG |
Obiettivi formativi 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 | 1º | 6 | MAT/09 | ENG |
Obiettivi formativi 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 1 | 1º | 6 | MAT/09 | ENG |
Obiettivi formativi 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.
|
1049372 | ORGANIC AND INORGANIC CHEMISTRY | 1º | 12 | CHIM/06, CHIM/03 | ENG |
Obiettivi formativi 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 1 | 1º | 6 | CHIM/03 | ENG |
Obiettivi formativi 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.
|
1049253 | PRINCIPLES OF COMPUTER SCIENCE I | 1º | 6 | INF/01 | ENG |
Obiettivi formativi 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.
|
10620562 | PRINCIPLES OF PHYSICS | 1º | 6 | FIS/01 | ENG |
1049372 | ORGANIC AND INORGANIC CHEMISTRY | 2º | 12 | CHIM/06, CHIM/03 | ENG |
Obiettivi formativi 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 | 2º | 6 | CHIM/06 | ENG |
Obiettivi formativi 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.
|
1049376 | INTRODUCTION TO BIOMEDICAL STATISTICS | 2º | 12 | SECS-S/01, MED/01 | ENG |
Obiettivi formativi The course has the objective to deepen the practical understanding of the use of probability and statistics in the context of epidemiological/biomedical research.
In particular the students will learn the differences between the main epidemiological study designs, suitable measures of treatment/exposure effect , the concepts of bias, variability, confounding and causality in epidemiology. They will also learn the concept and application of linear regression and have an introduction to logistic regression. Furthermore they will learn how to manage data and apply statistical methods using the software Stata.
|
INTRODUCTION TO BIOMEDICAL STATISTICS 1 | 2º | 6 | SECS-S/01 | ENG |
Obiettivi formativi 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.
|
INTRODUCTION TO BIOMEDICAL STATISTICS 2 | 2º | 6 | MED/01 | ENG |
Obiettivi formativi The course has the objective to deepen the practical understanding of the use of probability and statistics in the context of epidemiological/biomedical research.
In particular the students will learn the differences between the main epidemiological study designs, suitable measures of treatment/exposure effect , the concepts of bias, variability, confounding and causality in epidemiology. They will also learn the concept and application of linear regression and have an introduction to logistic regression. Furthermore they will learn how to manage data and apply statistical methods using the software Stata.
|
1049373 | BIOLOGY OF THE CELL | 2º | 12 | BIO/13 | ENG |
Obiettivi formativi 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 | 2º | 6 | BIO/13 | ENG |
Obiettivi formativi 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 1 | 2º | 6 | BIO/13 | ENG |
Obiettivi formativi 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.
|