| 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.
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|
Code
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90653 |
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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.
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|
Language
|
ENG |
|
Type of certificate
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Profit certificate
|
|
Credits
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5
|
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Scientific Disciplinary Sector Code
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FIS/07
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|
Contact Hours
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50
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Type of Activity
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Basic compulsory activities
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Group: CANALE A
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Teacher
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Piersimoni Pierluigi
(syllabus)
Mechanics
Chapter 1: Introduction, Measurement, Estimating
1.4: Measurement and Uncertainty; Significant Figures
1.5: Units, Standards, and SI Units
1.6: Converting Units
1.8: Dimensions and Dimensional Analysis
Chapter 2: Describing Motion: Kinematics in One Dimension
2.1: References Frames and Displacement
2.2: Average Velocity
2.3: Instantaneous Velocity
2.4: Acceleration
2.5: Motion at Constant Acceleration
Chapter 3: Kinematics in Two Dimensions; Vectors
3.1: Vectors and Scalars
3.2: Addition of Vectors-Graphical Methods
3.3: Subtraction of Vectors and Multiplication of a Vector By a Scalar
3.4: Adding Vectors by Components
Chapter 4: Dynamics: Newton's Laws of Motion
4.1: Force
4.2: Newton's First Law of Motion
4.3: Mass
4.4: Newton's Second Law of Motion
4.5: Newton's Third Law of Motion
4.6: Weight-The Force of Gravity; and the Normal Force
4.7: Solving Problems with Newton's Laws: Free-Body Diagrams
4.8: Problems Involving Friction, Inclines
4.9: Problem Solving-A General Approach
Chapter 5: Circular Motion; Gravitation
5.1: Kinematics of Uniform Circular Motion
5.2: Dynamics of Uniform Circular Motion
5.6: Newton's Law of Universal Gravitation
Chapter 6: Work and Energy
6.1: Work Done by a Constant Force
6.3: Kinetic Energy and the Work-Energy Principle
6.4: Potential Energy
6.5: Conservative and Nonconservative Forces
6.6: Mechanical Energy and its Conservation
6.7: Problem Solving Using Conservation of Mechanical Energy
6.8: Other Forms of Energy: Energy Transformations and the Law of Conservation of Energy
6.10: Power
Chapter 7: Linear Momentum
7.1: Momentum and Its Relation to Force
7.2: Conservation of Momentum
7.8: Center of Mass (CM)
7.10: Center of Mass and Translational Motion
Chapter 8: Rotational Motion
8.1: Angular Quantities
8.2: Constant Angular Acceleration
8.4: Torque
8.5: Rotational Dynamics; Torque and Rotational Inertia
8.6: Solving Problems in Rotational Dynamics
8.7: Rotational Kinetic Energy
Chapter 9: Static Equilibrium; Elasticity and Fracture
9.1: The Conditions for Equilibrium
9.2: Solving Statics Problems
9.3: Applications to Muscles and Joints
9.4: Stability and Balance
9.5: Elasticity; Stress and Strain
9.6: Fracture
Electricity and Magnetism
Chapter 16: Electric Charge and Electric Field
16.1: Static Electricity; Electric Charge and its Conservation
16.2: Electric Charge in the Atom
16.3: Insulators and Conductors
16.4: Induced Charge; the Electroscope
16.5: Coulomb's Law
16.6: Solving Problems Involving Coulomb's Law and Vectors
16.7: The Electric Field
16.8: Field Lines
16.9: Electric Fields and Conductors
Chapter 17: Electric Potential
17.1: Electric Potential Energy and Potential Differences
17.2: Relation Between Electric Potential and Electric Field
17.3: Equipotential Lines
17.4: The Electron Volt, a Unit of Energy
17.5: Electric Potential Due to Point Charges
17.7: Capacitance
17.8: Dielectrics
17.9: Storage of Electric Energy
Chapter 18: Electric Currents
18.1: The Electric Battery
18.2: The Electric Current
18.3: Ohm's Law: Resistance and Resistors
18.4: Resistivity
18.5: Electric Power
18.8: Microscopic View of Electric Current
Chapter 19: DC Circuits
19.1: EMF and Terminal Voltage
19.2: Resistors in Series and in Parallel
19.3: Kirchhoff's Rules
19.4: EMFs in Series and in Parallel; Charging a Battery
19.5: Circuits Containing Capacitors in Series and in Parallel
19.6: RC Circuits-Resistor and Capacitor in Series
Chapter 20: Magnetism
20.1: Magnets and Magnetic Fields
20.2: Electric Current Produce Magnetic Fields
20.3: Force on an Electric Current in a Magnetic Field: Definition of B
20.4: Force on an Electric Charge Moving in a Magnetic Field
20.5: Magnetic Field Due to a Long Straight Wire
20.8: Ampere's Law
Chapter 21: Electromagnetic Induction and Faraday's Law
21.1: Induced EMF
21.2: Faraday's Law of Induction; Lenz's Law
21.3: EMF Induced in a Moving Conductor
21.4: Changing Magnetic Flux Produces an Electric Field
Vibrations and Waves
Chapter 11: Vibrations and Waves
11.7: Wave Motion
11.8: Types of Waves: Transverse and Longitudinal
11.9: Energy Transported by Waves
11.10: Intensity Related to Amplitude and Frequency
11.11: Reflection and Transmission of Waves
11.12: Interference; Principle of Superposition
11.13: Standing Waves; Resonance
Chapter 12: Sound
12-1 Characteristics of Sound
12-2 Intensity of Sound: Decibels
12-4 Sources of Sound: Vibrating Strings and
Air Columns
12-6 Interference of Sound Waves; Beats
12-7 Doppler Effect
Chapter 22: Electromagnetic Waves
22.1: Changing Electric Fields Produce Magnetic Fields; Maxwell's Equations
22.2: Production of Electromagnetic Waves
22.3: Light as an Electromagnetic Wave and the Electromagnetic Spectrum
22.5: Energy in EM Waves
Chapter 24: The Wave Nature of Light
24.4: The Visible Spectrum and Dispersion
Chapter 25: Optical Instruments
25-11: X-Rays and X-Ray Diffraction
25-12: X-Ray Imaging and Computed Tomography (CT Scan)
Nuclear Physics and Radioactivity
Chapter 27: Early Quantum Theory and Models of the Atom
27.10: Early Models of the Atom
27.12: The Bohr Model
Chapter 30: Nuclear Physics and Radioactivity
30.1: Structure and Properties of the Nucleus
30.2: Binding Energy and Nuclear Forces
30.3: Radioactivity
30.4: Alpha Decay
30.5: Beta Decay
30.6: Gamma Decay
30.7: Conservation of Nucleon Number and Other Conservation Laws
30.8: Half-Life and Rate of Decay
30.9: Calculations Involving Decay Rates and Half-life
Chapter 31: Nuclear Energy; Effects and Uses of Radiation
31.1: Nuclear Reaction and the Transmutation of Elements
31.5: Measurement of Radiation-Dosimetry
31.9: Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI)
Thermodynamics
Chapter 13: Temperature and Kinetic Theory
13.1: Atomic Theory of Matter
13.2: Temperature and Thermometers
13.3: Thermal Equilibrium and the Zeroth Law of Thermodynamics
13.4: Thermal Expansion
13.6: The Gas Laws and Absolute Temperature
13.7: The Ideal Gas Law
13.8: Problem Solving with the Ideal Gas Law
13.9: Ideal Gas Law in Terms of Molecules: Avogadro's Number
13.10: Kinetic Theory and the Molecular Interpretation of Temperature
Chapter 14: Heat
14.1 Heat as Energy Transfer
14.2 Internal Energy
14.3: Specific Heat
14.4: Calorimetry
14.5: Latent Heat
14.6: Heat Transfer: Conduction
14.7: Heat Transfer: Convection
14.8: Heat Transfer: Radiation
Chapter 15: The Laws of Thermodynamics
15.1: The First Law of Thermodynamics
15.2: Thermodynamic Processes and the First Law
15.4: Second Law of Thermodynamics-Introduction
Fluids
Chapter 10: Fluids
10.1: Phases of Matter
10.2: Density and Specific Gravity
10.3: Pressure in Fluids
10.4: Atmospheric Pressure Gauge Pressure
10.5: Pascal's Principle
10.6: Measurement of Pressure; Gauges and the Barometer
10.7: Buoyancy and Archimedes' Principle
10.8: Fluids in Motion; Flow Rate and the Equation of Continuity
10.9: Bernoulli's Principle
10.10: Applications of Bernoulli's Principle: from Torricelli to Airplanes, Baseballs, and TIA
10.11: Viscosity
10.12: Flow in Tubes: Poiseuille's Equation, Blood Flow
(reference books)
Douglas C. Giancoli “PHYSICS: Principles with Applications” Seventh edition or subsequent, Pearson Education. Inc
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|
Dates of beginning and end of teaching activities
|
From to |
|
Delivery mode
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Traditional
|
|
Attendance
|
Mandatory
|
|
Evaluation methods
|
Written test
|
Group: CANALE B
|
Teacher
|
Piersimoni Pierluigi
(syllabus)
Mechanics
Chapter 1: Introduction, Measurement, Estimating
1.4: Measurement and Uncertainty; Significant Figures
1.5: Units, Standards, and SI Units
1.6: Converting Units
1.8: Dimensions and Dimensional Analysis
Chapter 2: Describing Motion: Kinematics in One Dimension
2.1: References Frames and Displacement
2.2: Average Velocity
2.3: Instantaneous Velocity
2.4: Acceleration
2.5: Motion at Constant Acceleration
Chapter 3: Kinematics in Two Dimensions; Vectors
3.1: Vectors and Scalars
3.2: Addition of Vectors-Graphical Methods
3.3: Subtraction of Vectors and Multiplication of a Vector By a Scalar
3.4: Adding Vectors by Components
Chapter 4: Dynamics: Newton's Laws of Motion
4.1: Force
4.2: Newton's First Law of Motion
4.3: Mass
4.4: Newton's Second Law of Motion
4.5: Newton's Third Law of Motion
4.6: Weight-The Force of Gravity; and the Normal Force
4.7: Solving Problems with Newton's Laws: Free-Body Diagrams
4.8: Problems Involving Friction, Inclines
4.9: Problem Solving-A General Approach
Chapter 5: Circular Motion; Gravitation
5.1: Kinematics of Uniform Circular Motion
5.2: Dynamics of Uniform Circular Motion
5.6: Newton's Law of Universal Gravitation
Chapter 6: Work and Energy
6.1: Work Done by a Constant Force
6.3: Kinetic Energy and the Work-Energy Principle
6.4: Potential Energy
6.5: Conservative and Nonconservative Forces
6.6: Mechanical Energy and its Conservation
6.7: Problem Solving Using Conservation of Mechanical Energy
6.8: Other Forms of Energy: Energy Transformations and the Law of Conservation of Energy
6.10: Power
Chapter 7: Linear Momentum
7.1: Momentum and Its Relation to Force
7.2: Conservation of Momentum
7.8: Center of Mass (CM)
7.10: Center of Mass and Translational Motion
Chapter 8: Rotational Motion
8.1: Angular Quantities
8.2: Constant Angular Acceleration
8.4: Torque
8.5: Rotational Dynamics; Torque and Rotational Inertia
8.6: Solving Problems in Rotational Dynamics
8.7: Rotational Kinetic Energy
Chapter 9: Static Equilibrium; Elasticity and Fracture
9.1: The Conditions for Equilibrium
9.2: Solving Statics Problems
9.3: Applications to Muscles and Joints
9.4: Stability and Balance
9.5: Elasticity; Stress and Strain
9.6: Fracture
Electricity and Magnetism
Chapter 16: Electric Charge and Electric Field
16.1: Static Electricity; Electric Charge and its Conservation
16.2: Electric Charge in the Atom
16.3: Insulators and Conductors
16.4: Induced Charge; the Electroscope
16.5: Coulomb's Law
16.6: Solving Problems Involving Coulomb's Law and Vectors
16.7: The Electric Field
16.8: Field Lines
16.9: Electric Fields and Conductors
Chapter 17: Electric Potential
17.1: Electric Potential Energy and Potential Differences
17.2: Relation Between Electric Potential and Electric Field
17.3: Equipotential Lines
17.4: The Electron Volt, a Unit of Energy
17.5: Electric Potential Due to Point Charges
17.7: Capacitance
17.8: Dielectrics
17.9: Storage of Electric Energy
Chapter 18: Electric Currents
18.1: The Electric Battery
18.2: The Electric Current
18.3: Ohm's Law: Resistance and Resistors
18.4: Resistivity
18.5: Electric Power
18.8: Microscopic View of Electric Current
Chapter 19: DC Circuits
19.1: EMF and Terminal Voltage
19.2: Resistors in Series and in Parallel
19.3: Kirchhoff's Rules
19.4: EMFs in Series and in Parallel; Charging a Battery
19.5: Circuits Containing Capacitors in Series and in Parallel
19.6: RC Circuits-Resistor and Capacitor in Series
Chapter 20: Magnetism
20.1: Magnets and Magnetic Fields
20.2: Electric Current Produce Magnetic Fields
20.3: Force on an Electric Current in a Magnetic Field: Definition of B
20.4: Force on an Electric Charge Moving in a Magnetic Field
20.5: Magnetic Field Due to a Long Straight Wire
20.8: Ampere's Law
Chapter 21: Electromagnetic Induction and Faraday's Law
21.1: Induced EMF
21.2: Faraday's Law of Induction; Lenz's Law
21.3: EMF Induced in a Moving Conductor
21.4: Changing Magnetic Flux Produces an Electric Field
Vibrations and Waves
Chapter 11: Vibrations and Waves
11.7: Wave Motion
11.8: Types of Waves: Transverse and Longitudinal
11.9: Energy Transported by Waves
11.10: Intensity Related to Amplitude and Frequency
11.11: Reflection and Transmission of Waves
11.12: Interference; Principle of Superposition
11.13: Standing Waves; Resonance
Chapter 12: Sound
12-1 Characteristics of Sound
12-2 Intensity of Sound: Decibels
12-4 Sources of Sound: Vibrating Strings and
Air Columns
12-6 Interference of Sound Waves; Beats
12-7 Doppler Effect
Chapter 22: Electromagnetic Waves
22.1: Changing Electric Fields Produce Magnetic Fields; Maxwell's Equations
22.2: Production of Electromagnetic Waves
22.3: Light as an Electromagnetic Wave and the Electromagnetic Spectrum
22.5: Energy in EM Waves
Chapter 24: The Wave Nature of Light
24.4: The Visible Spectrum and Dispersion
Chapter 25: Optical Instruments
25-11: X-Rays and X-Ray Diffraction
25-12: X-Ray Imaging and Computed Tomography (CT Scan)
Nuclear Physics and Radioactivity
Chapter 27: Early Quantum Theory and Models of the Atom
27.10: Early Models of the Atom
27.12: The Bohr Model
Chapter 30: Nuclear Physics and Radioactivity
30.1: Structure and Properties of the Nucleus
30.2: Binding Energy and Nuclear Forces
30.3: Radioactivity
30.4: Alpha Decay
30.5: Beta Decay
30.6: Gamma Decay
30.7: Conservation of Nucleon Number and Other Conservation Laws
30.8: Half-Life and Rate of Decay
30.9: Calculations Involving Decay Rates and Half-life
Chapter 31: Nuclear Energy; Effects and Uses of Radiation
31.1: Nuclear Reaction and the Transmutation of Elements
31.5: Measurement of Radiation-Dosimetry
31.9: Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI)
Thermodynamics
Chapter 13: Temperature and Kinetic Theory
13.1: Atomic Theory of Matter
13.2: Temperature and Thermometers
13.3: Thermal Equilibrium and the Zeroth Law of Thermodynamics
13.4: Thermal Expansion
13.6: The Gas Laws and Absolute Temperature
13.7: The Ideal Gas Law
13.8: Problem Solving with the Ideal Gas Law
13.9: Ideal Gas Law in Terms of Molecules: Avogadro's Number
13.10: Kinetic Theory and the Molecular Interpretation of Temperature
Chapter 14: Heat
14.1 Heat as Energy Transfer
14.2 Internal Energy
14.3: Specific Heat
14.4: Calorimetry
14.5: Latent Heat
14.6: Heat Transfer: Conduction
14.7: Heat Transfer: Convection
14.8: Heat Transfer: Radiation
Chapter 15: The Laws of Thermodynamics
15.1: The First Law of Thermodynamics
15.2: Thermodynamic Processes and the First Law
15.4: Second Law of Thermodynamics-Introduction
Fluids
Chapter 10: Fluids
10.1: Phases of Matter
10.2: Density and Specific Gravity
10.3: Pressure in Fluids
10.4: Atmospheric Pressure Gauge Pressure
10.5: Pascal's Principle
10.6: Measurement of Pressure; Gauges and the Barometer
10.7: Buoyancy and Archimedes' Principle
10.8: Fluids in Motion; Flow Rate and the Equation of Continuity
10.9: Bernoulli's Principle
10.10: Applications of Bernoulli's Principle: from Torricelli to Airplanes, Baseballs, and TIA
10.11: Viscosity
10.12: Flow in Tubes: Poiseuille's Equation, Blood Flow
(reference books)
Douglas C. Giancoli “PHYSICS: Principles with Applications” Seventh edition or subsequent, Pearson Education. Inc
|
|
Dates of beginning and end of teaching activities
|
From to |
|
Delivery mode
|
Traditional
|
|
Attendance
|
Mandatory
|
|
Evaluation methods
|
Written test
|
|
|
| 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
|
Vairo Francesco
(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.
|
|
Dates of beginning and end of teaching activities
|
From to |
|
Delivery mode
|
Traditional
|
|
Attendance
|
Mandatory
|
|
Evaluation methods
|
Written test
|
|
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
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
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Attendance
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Mandatory
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Evaluation methods
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Written test
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Group: CANALE B
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Teacher
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Vairo Francesco
(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.
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
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Attendance
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Mandatory
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Evaluation methods
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Written test
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Teacher
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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
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
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Attendance
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Mandatory
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Evaluation methods
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Written test
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| 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.
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Language
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ENG |
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Type of certificate
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Profit certificate
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Credits
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3
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Scientific Disciplinary Sector Code
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INF/01
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Contact Hours
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30
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Type of Activity
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Core compulsory activities
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Group: CANALE A
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Teacher
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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.
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
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Attendance
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Mandatory
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Evaluation methods
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Written test
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Group: CANALE B
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Teacher
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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.
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
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Attendance
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Mandatory
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Evaluation methods
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Written test
|
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