Physics and statistics
(objectives)
Aim of the integrated course of Physics and Statistics (Applied Physics, Medical Statistics and Informatics) is to provide students with knowledge on the fundamentals of applied physics, Statistics and Intormatics necessary for their future activity. In particular, the comprehension of physical principles at the base of medical physics and of functioning of medical instrumentation will be addressed. At the end of the course, the students will know the fundamental concepts of application of the Scientific Method to the study of biomedical phenomena (choice and measure of parameters, evaluation of errors), they will be able to describe physical phenomena of complex systems using suitable mathematical tools, they will know the scientific basis of medical procedures and principles of functioning of the equipment commonly used for diagnostics and therapeutics. The student should be able to understand the tools and computer concepts that will be useful for their future profession in the medical field and understand the importance of medical statistics in the research methodology in the medical field; - read a basic biomedical scientific article, understanding its structure and critically evaluating methods and results; handle a simple database, with particular reference to clinical medicine; make a descriptive and inferential analysis.
LEARNING OUTCOMES The specific learning outcomes of the program are coherent with the general provisions of the Bologna Process and the specific provisions of EC Directive 2005/36/EC. They lie within the European Qualifications Framework (Dublin Descriptors) as follows:
1. Knowledge and Understanding : • Understand the experimental method and learn the use and transformation of measure units. • Know and understand the proper terminology of physics. • Know and understand the main physical principles and laws concerning kinetics, dynamics, electricity and magnetism, vibration and waves, radiation, nuclear physics and fluids. • Apply these concepts to biological and physiological phenomena in living organisms. • Identify and recognize the physical principles which govern the function of the specific human organs. • carry out a descriptive analysis of a simple database; • evaluate the association between variables; • know the basic principles of correlation and linear regression analysis; • know and apply frequency and effect measurements; • explain how statistical inference is applied to biomedical research; • demonstrate an understanding of probability and its application; • demonstrate ability to manage data and to draw and present quantitative results effectively, using appropriate tables, figures and summaries • describe the nature of the sampling variation and the role of the statistical methods in quantifying it, and be able to calculate the confidence limits and evaluate the hypotheses; • select and use appropriate statistical methods in the analysis of simple data sets; • interpret and evaluate the results of statistical analyses within a scientific publication; • present and discuss the results of statistical analyses in a clear, concise and comprehensible way, • describe the general principles of the calculation of the sample size and power.
2. Applying Knowledge and Understanding • Apply the principles of physics, informatics and statistics to selected problems and to a variable range of situations. • Use the tools, methodologies, language and conventions of physics, informatics and statistics to test and communicate ideas and explanations.
3. Communication Skills • Present the topics verbally in an organized and consistent manner. • Utilize a proper scientific language coherent with the topic of discussion.
4. Making Judgements • Recognize the importance of an in-depth knowledge of the topics consistent with a proper medical education. • Identify the fundamental role of a proper theoretical knowledge of the topic in the clinical practice.
5. Learning skills at the end of the integrated teaching, the student will acquire skills useful to deepen and expand their knowledge in the field of the course, also through the consultation of scientific literature, databases, specialized websites.
|
Code
|
90653 |
Language
|
ENG |
Type of certificate
|
Profit certificate
|
Module: Applied Physics
(objectives)
Aim of the integrated course of Physics and Statistics (Applied Physics, Medical Statistics and Informatics) is to provide students with knowledge on the fundamentals of applied physics, Statistics and Intormatics necessary for their future activity. In particular, the comprehension of physical principles at the base of medical physics and of functioning of medical instrumentation will be addressed. At the end of the course, the students will know the fundamental concepts of application of the Scientific Method to the study of biomedical phenomena (choice and measure of parameters, evaluation of errors), they will be able to describe physical phenomena of complex systems using suitable mathematical tools, they will know the scientific basis of medical procedures and principles of functioning of the equipment commonly used for diagnostics and therapeutics. The student should be able to understand the tools and computer concepts that will be useful for their future profession in the medical field and understand the importance of medical statistics in the research methodology in the medical field; - read a basic biomedical scientific article, understanding its structure and critically evaluating methods and results; handle a simple database, with particular reference to clinical medicine; make a descriptive and inferential analysis.
LEARNING OUTCOMES The specific learning outcomes of the program are coherent with the general provisions of the Bologna Process and the specific provisions of EC Directive 2005/36/EC. They lie within the European Qualifications Framework (Dublin Descriptors) as follows:
1. Knowledge and Understanding : • Understand the experimental method and learn the use and transformation of measure units. • Know and understand the proper terminology of physics. • Know and understand the main physical principles and laws concerning kinetics, dynamics, electricity and magnetism, vibration and waves, radiation, nuclear physics and fluids. • Apply these concepts to biological and physiological phenomena in living organisms. • Identify and recognize the physical principles which govern the function of the specific human organs. • carry out a descriptive analysis of a simple database; • evaluate the association between variables; • know the basic principles of correlation and linear regression analysis; • know and apply frequency and effect measurements; • explain how statistical inference is applied to biomedical research; • demonstrate an understanding of probability and its application; • demonstrate ability to manage data and to draw and present quantitative results effectively, using appropriate tables, figures and summaries • describe the nature of the sampling variation and the role of the statistical methods in quantifying it, and be able to calculate the confidence limits and evaluate the hypotheses; • select and use appropriate statistical methods in the analysis of simple data sets; • interpret and evaluate the results of statistical analyses within a scientific publication; • present and discuss the results of statistical analyses in a clear, concise and comprehensible way, • describe the general principles of the calculation of the sample size and power.
2. Applying Knowledge and Understanding • Apply the principles of physics, informatics and statistics to selected problems and to a variable range of situations. • Use the tools, methodologies, language and conventions of physics, informatics and statistics to test and communicate ideas and explanations.
3. Communication Skills • Present the topics verbally in an organized and consistent manner. • Utilize a proper scientific language coherent with the topic of discussion.
4. Making Judgements • Recognize the importance of an in-depth knowledge of the topics consistent with a proper medical education. • Identify the fundamental role of a proper theoretical knowledge of the topic in the clinical practice.
5. Learning skills at the end of the integrated teaching, the student will acquire skills useful to deepen and expand their knowledge in the field of the course, also through the consultation of scientific literature, databases, specialized websites.
|
Language
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ENG |
Type of certificate
|
Profit certificate
|
Credits
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5
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Scientific Disciplinary Sector Code
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FIS/07
|
Contact Hours
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50
|
Type of Activity
|
Basic compulsory activities
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Group: CANALE A
Teacher
|
Contessa Gian Marco
(syllabus)
MECHANICS
Introduction, Measurement, Estimating Measurement and Uncertainty; Significant Figures Units, Standards, and SI Units Converting Units Dimensions and Dimensional Analysis Vectors and Scalars
Vectors Addition of Vectors-Graphical Methods Subtraction of Vectors and Multiplication of a Vector by a Scalar Adding Vectors by Components Scalar and Vector Products
Describing Motion: Kinematics References Frames and Displacement Average Velocity Instantaneous Velocity Acceleration Motion at Constant Acceleration Kinematics of Uniform Circular Motion Nonuniform Circular Motion
Dynamics: Newton’s Laws of Motion Force Newton’s First Law of Motion Mass Newton’s Second Law of Motion Newton’s Third Law of Motion Weight-The Force of Gravity; The Normal Force Friction Elasticity and Hooke’s Law Circular Motion; Gravitation Dynamics of Uniform Circular Motion Newton's Law of Universal Gravitation Types of Forces in Nature
Work and Energy Work Done by a Constant Force Kinetic Energy and the Work-Energy Principle Potential Energy (gravitational potential energy, potential energy of elastic spring) Conservative and Nonconservative Forces Mechanical Energy and its Conservation Problem Solving Using Conservation of Mechanical Energy Other Forms of Energy: Energy Transformations and the Law of Conservation of Energy Power
Linear Momentum Momentum and its Relation to Force Conservation of Momentum Center of Mass Center of Mass and Translational Motion
Rotational Motion Angular Quantities Torque
Static Equilibrium The Conditions for Equilibrium Applications to Muscles and Joints Stability and Balance Elasticity Stress and Strain Fracture
Fluids Phases of Matter Density Pressure in Fluids Atmospheric Pressure; Gauge Pressure Pascal’s Principle Buoyancy and Archimedes' Principle Fluids in Motion; Flow Rate and the Equation of Continuity Bernoulli’s Principle Applications of Bernoulli’s Principle: stenosis, aneurism and TIA Viscosity Flow in Tubes: Poiseuille’s Equation, High blood pressure Pumps, and the Heart
THERMODYNAMICS
Temperature Atomic Theory of Matter Temperature and Thermometers Thermal Equilibrium Thermal Expansion
Heat Heat as Energy Transfer Internal Energy Specific Heat Calorimetry Heat Transfer: Conduction Heat Transfer: Convection Heat Transfer: Radiation
The Laws of Thermodynamics The First Law of Thermodynamics Human Metabolism and the First Law Second Law of Thermodynamics-Introduction Entropy and the Second Law of Thermodynamics Order to Disorder
(reference books)
READING MATERIALS
1. Douglas C. Giancoli “PHYSICS: Principles with Applications” Seventh edition or subsequent, Pearson Education. Inc
2. G.M. Contessa, G.A. Marzo. Fisica Applicata alle Scienze Mediche. Casa Editrice Ambrosiana, 2019
The indicated textbooks are just for reference. Students are allowed to adopt the book/books of their choice. Additional material will be provided by the professor as lesson slides
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
Oral exam
|
Teacher
|
D'Arienzo Marco
(syllabus)
Radiation in Healthcare Electromagnetic radiation ionizing and non-ionizing radiation Medical uses for radiation (diagnostics and in therapy)
Ionizing radiation in medicine X-Ray Medical Imaging Physical principles and technical aspects of diagnostics x-ray devices Computed Tomography (CT) Single Photon Emitting Tomography (SPECT) C-arm systems and other x-ray equipment
Non-ionizing radiation: Magnetic Resonance Imaging (MRI)
Radiation protection Interaction of radiation with cells and tissues Radiobiology
(reference books)
1. Douglas C. Giancoli “PHYSICS: Principles with Applications” Seventh edition or subsequent, Pearson Education. Inc
2. G.M. Contessa, G.A. Marzo. Fisica Applicata alle Scienze Mediche. Casa Editrice Ambrosiana, 2019
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
Oral exam
|
Teacher
|
Napolitano Antonio
|
Dates of beginning and end of teaching activities
|
From to |
Attendance
|
not mandatory
|
Group: CANALE B
Teacher
|
Contessa Gian Marco
(syllabus)
MECHANICS Introduction, Measurement, Estimating Measurement and Uncertainty; Significant Figures Units, Standards, and SI Units Converting Units Dimensions and Dimensional Analysis Vectors and Scalars
Vectors Addition of Vectors-Graphical Methods Subtraction of Vectors and Multiplication of a Vector by a Scalar Adding Vectors by Components Scalar and Vector Products
Describing Motion: Kinematics References Frames and Displacement Average Velocity Instantaneous Velocity Acceleration Motion at Constant Acceleration Kinematics of Uniform Circular Motion Nonuniform Circular Motion
Dynamics: Newton’s Laws of Motion Force Newton’s First Law of Motion Mass Newton’s Second Law of Motion Newton’s Third Law of Motion Weight-The Force of Gravity; The Normal Force Friction Elasticity and Hooke’s Law Circular Motion; Gravitation Dynamics of Uniform Circular Motion Newton's Law of Universal Gravitation Types of Forces in Nature
Work and Energy Work Done by a Constant Force Kinetic Energy and the Work-Energy Principle Potential Energy (gravitational potential energy, potential energy of elastic spring) Conservative and Nonconservative Forces Mechanical Energy and its Conservation Problem Solving Using Conservation of Mechanical Energy Other Forms of Energy: Energy Transformations and the Law of Conservation of Energy Power
Linear Momentum Momentum and its Relation to Force Conservation of Momentum Center of Mass Center of Mass and Translational Motion
Rotational Motion Angular Quantities Torque
Static Equilibrium The Conditions for Equilibrium Applications to Muscles and Joints Stability and Balance Elasticity Stress and Strain Fracture
Fluids Phases of Matter Density Pressure in Fluids Atmospheric Pressure; Gauge Pressure Pascal’s Principle Buoyancy and Archimedes' Principle Fluids in Motion; Flow Rate and the Equation of Continuity Bernoulli’s Principle Applications of Bernoulli’s Principle: stenosis, aneurism and TIA Viscosity Flow in Tubes: Poiseuille’s Equation, High blood pressure Pumps, and the Heart
THERMODYNAMICS Temperature Atomic Theory of Matter Temperature and Thermometers Thermal Equilibrium Thermal Expansion
Heat Heat as Energy Transfer Internal Energy Specific Heat Calorimetry Heat Transfer: Conduction Heat Transfer: Convection Heat Transfer: Radiation
The Laws of Thermodynamics The First Law of Thermodynamics Human Metabolism and the First Law Second Law of Thermodynamics-Introduction Entropy and the Second Law of Thermodynamics Order to Disorder
(reference books)
1. Douglas C. Giancoli “PHYSICS: Principles with Applications” Seventh edition or subsequent, Pearson Education. Inc
2. G.M. Contessa, G.A. Marzo. Fisica Applicata alle Scienze Mediche. Casa Editrice Ambrosiana, 2019
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
Oral exam
|
Teacher
|
D'Arienzo Marco
(syllabus)
Radiation in Healthcare Electromagnetic radiation ionizing and non-ionizing radiation Medical uses for radiation (diagnostics and in therapy)
Ionizing radiation in medicine X-Ray Medical Imaging Physical principles and technical aspects of diagnostics x-ray devices Computed Tomography (CT) Single Photon Emitting Tomography (SPECT) C-arm systems and other x-ray equipment
Non-ionizing radiation: Magnetic Resonance Imaging (MRI)
Radiation protection Interaction of radiation with cells and tissues Radiobiology
(reference books)
1. Douglas C. Giancoli “PHYSICS: Principles with Applications” Seventh edition or subsequent, Pearson Education. Inc
2. G.M. Contessa, G.A. Marzo. Fisica Applicata alle Scienze Mediche. Casa Editrice Ambrosiana, 2019
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
Oral exam
|
Teacher
|
Napolitano Antonio
|
Dates of beginning and end of teaching activities
|
From to |
Attendance
|
not mandatory
|
|
|
Module: Medical Statistics
(objectives)
Aim of the integrated course of Physics and Statistics (Applied Physics, Medical Statistics and Informatics) is to provide students with knowledge on the fundamentals of applied physics, Statistics and Intormatics necessary for their future activity. In particular, the comprehension of physical principles at the base of medical physics and of functioning of medical instrumentation will be addressed. At the end of the course, the students will know the fundamental concepts of application of the Scientific Method to the study of biomedical phenomena (choice and measure of parameters, evaluation of errors), they will be able to describe physical phenomena of complex systems using suitable mathematical tools, they will know the scientific basis of medical procedures and principles of functioning of the equipment commonly used for diagnostics and therapeutics. The student should be able to understand the tools and computer concepts that will be useful for their future profession in the medical field and understand the importance of medical statistics in the research methodology in the medical field; - read a basic biomedical scientific article, understanding its structure and critically evaluating methods and results; handle a simple database, with particular reference to clinical medicine; make a descriptive and inferential analysis.
LEARNING OUTCOMES The specific learning outcomes of the program are coherent with the general provisions of the Bologna Process and the specific provisions of EC Directive 2005/36/EC. They lie within the European Qualifications Framework (Dublin Descriptors) as follows:
1. Knowledge and Understanding : • Understand the experimental method and learn the use and transformation of measure units. • Know and understand the proper terminology of physics. • Know and understand the main physical principles and laws concerning kinetics, dynamics, electricity and magnetism, vibration and waves, radiation, nuclear physics and fluids. • Apply these concepts to biological and physiological phenomena in living organisms. • Identify and recognize the physical principles which govern the function of the specific human organs. • carry out a descriptive analysis of a simple database; • evaluate the association between variables; • know the basic principles of correlation and linear regression analysis; • know and apply frequency and effect measurements; • explain how statistical inference is applied to biomedical research; • demonstrate an understanding of probability and its application; • demonstrate ability to manage data and to draw and present quantitative results effectively, using appropriate tables, figures and summaries • describe the nature of the sampling variation and the role of the statistical methods in quantifying it, and be able to calculate the confidence limits and evaluate the hypotheses; • select and use appropriate statistical methods in the analysis of simple data sets; • interpret and evaluate the results of statistical analyses within a scientific publication; • present and discuss the results of statistical analyses in a clear, concise and comprehensible way, • describe the general principles of the calculation of the sample size and power.
2. Applying Knowledge and Understanding • Apply the principles of physics, informatics and statistics to selected problems and to a variable range of situations. • Use the tools, methodologies, language and conventions of physics, informatics and statistics to test and communicate ideas and explanations.
3. Communication Skills • Present the topics verbally in an organized and consistent manner. • Utilize a proper scientific language coherent with the topic of discussion.
4. Making Judgements • Recognize the importance of an in-depth knowledge of the topics consistent with a proper medical education. • Identify the fundamental role of a proper theoretical knowledge of the topic in the clinical practice.
5. Learning skills at the end of the integrated teaching, the student will acquire skills useful to deepen and expand their knowledge in the field of the course, also through the consultation of scientific literature, databases, specialized websites.
|
Language
|
ENG |
Type of certificate
|
Profit certificate
|
Credits
|
4
|
Scientific Disciplinary Sector Code
|
MED/01
|
Contact Hours
|
40
|
Type of Activity
|
Core compulsory activities
|
Group: CANALE A
Teacher
|
Weltert Luca Paolo
(syllabus)
• Introduction to biomedical statistics • Types of data, evaluation and presentation of data • Probability: assessment and role of probability • The binomial distribution • Normal distribution • Principles of statistical inference • Inference from a sample mean • Comparison of two averages • Inference from a sample proportion • Comparison between two proportions • Association between two categorical variables • Effect measurement in 2 x 2 tables • Combined analysis for associated binary data • Correlation • Linear regression • Non-parametric methods • Introduction to the calculation of the sample size • Cohort studies • Introduction to survival analysis • Case-control studies • Probability • Introduction to multivariate regression • Introduction to logistic regression • Introduction to the Poisson and Cox regression • Strategies of analysis
(reference books)
Lesson slides
Essential medical statistics (Kirkwood, Sterne)
The indicated textbook is just a reference. Students are allowed to adopt the book/books of their choice. Additional material will be provided by the instructor.a
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
|
Teacher
|
Sane Schepisi Monica
(syllabus)
• Introduction to Biomedical Statistics • Data types, evaluation and presentation • Probability: assessment and role of probability • The binomial distribution • The normal distribution • Principles of statistical inference • Inference from a sample average • Comparison of two averages • Inference from a sample proportion • Comparison between two proportions • Association between two categorical variables • Effect measurement in Tables 2 x 2 • Matched analysis for associated binary data • Correlation • Linear regression • Non-parametric methods • Introduction to the calculation of sample size • Cohort studies • Introduction to Survival Analysis • Case-control studies • Probability • Introduction to Multivariate Regression • Introduction to Logistic Regression • Introduction to the regression of Poisson and Cox • Analysis strategies
(reference books)
Lectures' slides are the main point of reference for studying. Essential Medical Statistics (Kirkwood, Sterne)
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
Oral exam
|
Group: CANALE B
Teacher
|
Weltert Luca Paolo
(syllabus)
• Introduction to biomedical statistics • Types of data, evaluation and presentation of data • Probability: assessment and role of probability • The binomial distribution • Normal distribution • Principles of statistical inference • Inference from a sample mean • Comparison of two averages • Inference from a sample proportion • Comparison between two proportions • Association between two categorical variables • Effect measurement in 2 x 2 tables • Combined analysis for associated binary data • Correlation • Linear regression • Non-parametric methods • Introduction to the calculation of the sample size • Cohort studies • Introduction to survival analysis • Case-control studies • Probability • Introduction to multivariate regression • Introduction to logistic regression • Introduction to the Poisson and Cox regression • Strategies of analysis
(reference books)
Lesson slides
Essential medical statistics (Kirkwood, Sterne)
The indicated textbook is just a reference. Students are allowed to adopt the book/books of their choice. Additional material will be provided by the instructor.a
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
|
Teacher
|
Sane Schepisi Monica
(syllabus)
• Introduction to Biomedical Statistics • Data types, evaluation and presentation • Probability: assessment and role of probability • The binomial distribution • The normal distribution • Principles of statistical inference • Inference from a sample average • Comparison of two averages • Inference from a sample proportion • Comparison between two proportions • Association between two categorical variables • Effect measurement in Tables 2 x 2 • Matched analysis for associated binary data • Correlation • Linear regression • Non-parametric methods • Introduction to the calculation of sample size • Cohort studies • Introduction to Survival Analysis • Case-control studies • Probability • Introduction to Multivariate Regression • Introduction to Logistic Regression • Introduction to the regression of Poisson and Cox • Analysis strategies
(reference books)
Lectures' slides are the reference point for the study Essential Medical Statistics (Kirkwood, Sterne)
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
Oral exam
|
|
|
Module: Information Technology
(objectives)
Aim of the integrated course of Physics and Statistics (Applied Physics, Medical Statistics and Informatics) is to provide students with knowledge on the fundamentals of applied physics, Statistics and Intormatics necessary for their future activity. In particular, the comprehension of physical principles at the base of medical physics and of functioning of medical instrumentation will be addressed. At the end of the course, the students will know the fundamental concepts of application of the Scientific Method to the study of biomedical phenomena (choice and measure of parameters, evaluation of errors), they will be able to describe physical phenomena of complex systems using suitable mathematical tools, they will know the scientific basis of medical procedures and principles of functioning of the equipment commonly used for diagnostics and therapeutics. The student should be able to understand the tools and computer concepts that will be useful for their future profession in the medical field and understand the importance of medical statistics in the research methodology in the medical field; - read a basic biomedical scientific article, understanding its structure and critically evaluating methods and results; handle a simple database, with particular reference to clinical medicine; make a descriptive and inferential analysis.
LEARNING OUTCOMES The specific learning outcomes of the program are coherent with the general provisions of the Bologna Process and the specific provisions of EC Directive 2005/36/EC. They lie within the European Qualifications Framework (Dublin Descriptors) as follows:
1. Knowledge and Understanding : • Understand the experimental method and learn the use and transformation of measure units. • Know and understand the proper terminology of physics. • Know and understand the main physical principles and laws concerning kinetics, dynamics, electricity and magnetism, vibration and waves, radiation, nuclear physics and fluids. • Apply these concepts to biological and physiological phenomena in living organisms. • Identify and recognize the physical principles which govern the function of the specific human organs. • carry out a descriptive analysis of a simple database; • evaluate the association between variables; • know the basic principles of correlation and linear regression analysis; • know and apply frequency and effect measurements; • explain how statistical inference is applied to biomedical research; • demonstrate an understanding of probability and its application; • demonstrate ability to manage data and to draw and present quantitative results effectively, using appropriate tables, figures and summaries • describe the nature of the sampling variation and the role of the statistical methods in quantifying it, and be able to calculate the confidence limits and evaluate the hypotheses; • select and use appropriate statistical methods in the analysis of simple data sets; • interpret and evaluate the results of statistical analyses within a scientific publication; • present and discuss the results of statistical analyses in a clear, concise and comprehensible way, • describe the general principles of the calculation of the sample size and power.
2. Applying Knowledge and Understanding • Apply the principles of physics, informatics and statistics to selected problems and to a variable range of situations. • Use the tools, methodologies, language and conventions of physics, informatics and statistics to test and communicate ideas and explanations.
3. Communication Skills • Present the topics verbally in an organized and consistent manner. • Utilize a proper scientific language coherent with the topic of discussion.
4. Making Judgements • Recognize the importance of an in-depth knowledge of the topics consistent with a proper medical education. • Identify the fundamental role of a proper theoretical knowledge of the topic in the clinical practice.
5. Learning skills at the end of the integrated teaching, the student will acquire skills useful to deepen and expand their knowledge in the field of the course, also through the consultation of scientific literature, databases, specialized websites.
|
Language
|
ENG |
Type of certificate
|
Profit certificate
|
Credits
|
3
|
Scientific Disciplinary Sector Code
|
INF/01
|
Contact Hours
|
30
|
Type of Activity
|
Core compulsory activities
|
Group: CANALE A
Teacher
|
Rocco Domenico
(syllabus)
1) Binary system and information codification, input and output, boolean operators. 2) Computer architecture, CPU, memories; 3) Software: operating systems, application software; 4) Word processor (Microsoft Word), including bibliography, citations and references; 5) Spreadsheet (Microsoft excel); 6) Computer networks, Internet, e-mail, World Wide Web; 7) Databases, Academic databases and search engines. Public health databases 8) Introduction to health information systems. The Italian health information system. Health standards for data acquisition, storing and visualization. The electronic medical record. 9) Information security and Privacy in the management of healthcare data. 10) Digital devices, sensors and mobile app for precise medicine. Supporting systems for the physicians.
(reference books)
Lesson slides
Joos, D. Wolf, R. Nelson, “Introduction to Computers for Healthcare Professionals” seventh edition, 2019, Jones & Bartlett Learning, ISBN 978-1284194708
Kathleen Mastrian, Dee McGonigle - Informatics for Health Professionals. Jones & Bartlett Learning; 1 edition (April 25, 2016)
Joseph Tan - E-Health Care Information Systems: An Introduction for Students and Professionals. Jossey-Bass Inc Pub; 1 ed (May 1, 2012)
The indicated textbooks are just a reference.
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
|
Group: CANALE B
Teacher
|
Rocco Domenico
(syllabus)
1) Binary system and information codification, input and output, boolean operators. 2) Computer architecture, CPU, memories; 3) Software: operating systems, application software; 4) Word processor (Microsoft Word), including bibliography, citations and references; 5) Spreadsheet (Microsoft excel); 6) Computer networks, Internet, e-mail, World Wide Web; 7) Databases, Academic databases and search engines. Public health databases 8) Introduction to health information systems. The Italian health information system. Health standards for data acquisition, storing and visualization. The electronic medical record. 9) Information security and Privacy in the management of healthcare data. 10) Digital devices, sensors and mobile app for precise medicine. Supporting systems for the physicians.
(reference books)
Lesson slides
Joos, D. Wolf, R. Nelson, “Introduction to Computers for Healthcare Professionals” seventh edition, 2019, Jones & Bartlett Learning, ISBN 978-1284194708
Kathleen Mastrian, Dee McGonigle - Informatics for Health Professionals. Jones & Bartlett Learning; 1 edition (April 25, 2016)
Joseph Tan - E-Health Care Information Systems: An Introduction for Students and Professionals. Jossey-Bass Inc Pub; 1 ed (May 1, 2012)
The indicated textbooks are just a reference.
|
Dates of beginning and end of teaching activities
|
From to |
Delivery mode
|
Traditional
|
Attendance
|
Mandatory
|
Evaluation methods
|
Written test
|
|
|
|