Basic Sciences
A.Y. 2020/2021
Learning objectives
The learning objectives are to develop knowledge related to
- fundamental notions and methodology of physics and statistics useful for identifying, understanding and interpreting biomedical phenomena;
- basic notions of statistics applied to research.
- fundamental notions and methodology of physics and statistics useful for identifying, understanding and interpreting biomedical phenomena;
- basic notions of statistics applied to research.
Expected learning outcomes
At the end of the course the student will be able to
- identify experimental designs suitable for research objectives;
- produce and understand the descriptive and inferential statistical analysis results;
- apply notions of physics to biomedical phenomena.
- identify experimental designs suitable for research objectives;
- produce and understand the descriptive and inferential statistical analysis results;
- apply notions of physics to biomedical phenomena.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
The program and the bibliography are confirmed
Teaching activities will be held both in presential mode and at distance (synchronous mode) using MS Teams platform.
Assessment of the learning: written examination via Moodle.
Teaching activities will be held both in presential mode and at distance (synchronous mode) using MS Teams platform.
Assessment of the learning: written examination via Moodle.
Prerequisites for admission
No prior knowledge is required
Assessment methods and Criteria
The examination consists of a written test with multiple choice questions on the theoretical part and exercises .
The result is communicated via vweb.
The result is communicated via vweb.
Applied physics
Course syllabus
MEDICAL PHYSICS
- Use of units of measure, conversion among them, dimensional analysis.
- Concepts of position, velocity, and acceleration; equations of motion for uniform and accelerated motion, and their cartesian representation.
- Concepts of mass and force and their relation in Newton's equations. Example of forces: Hooke's force, friction, gravitational, normal forces.
- Concepts of work, kinetic energy, and potential energy; conservative and dissipative forces; theorem of energy conservation.
- Energy in a many-body system; conversion of energy; concept of power.
- Characteristics of fluids, numerical density and mass density; concept of pressure.
- Static of fluids: Pascal's principle, Stevino's law, communicating vessels. The examples of the hydraulic press and Torricelli's pipe. Archimede's principle.
- Dynamics of fluids: density and velocity of a fluid in motion, continuity equation, mass flow rate. Bernoulli's equation.
- Temperature, thermometers, and scales of temperature.
- Gas theory: Boyle-Mariotte law, ideal gas law. Energy and work for gas expansion.
- First principle of thermodynamics, and concepts of heat and specific heat.
- Use of units of measure, conversion among them, dimensional analysis.
- Concepts of position, velocity, and acceleration; equations of motion for uniform and accelerated motion, and their cartesian representation.
- Concepts of mass and force and their relation in Newton's equations. Example of forces: Hooke's force, friction, gravitational, normal forces.
- Concepts of work, kinetic energy, and potential energy; conservative and dissipative forces; theorem of energy conservation.
- Energy in a many-body system; conversion of energy; concept of power.
- Characteristics of fluids, numerical density and mass density; concept of pressure.
- Static of fluids: Pascal's principle, Stevino's law, communicating vessels. The examples of the hydraulic press and Torricelli's pipe. Archimede's principle.
- Dynamics of fluids: density and velocity of a fluid in motion, continuity equation, mass flow rate. Bernoulli's equation.
- Temperature, thermometers, and scales of temperature.
- Gas theory: Boyle-Mariotte law, ideal gas law. Energy and work for gas expansion.
- First principle of thermodynamics, and concepts of heat and specific heat.
Teaching methods
MEDICAL PHYSICS
Lectures, and exercises at the blackboard with maximum involvement of students.
Lectures, and exercises at the blackboard with maximum involvement of students.
Teaching Resources
Slide
Medical statistics
Course syllabus
Basic principles of data collection and management:
- Description of the main epidemiological and clinical study designs
- Examples of data collection and management.
- Types of variables and of measurement scales
Descriptive statistics:
- Construction and reading of frequency tables
- Construction and reading of the most commonly used graphs in medical statistics.
- Calculation and interpretation of measures of central tendency and measures of dispersion (mean, median, centile, range, standard deviation)
- Calculation and interpretation of measures of association between qualitative variables (relative risk, risk difference and odds ratio) and between quantitative variables (correlation and regression)
Probability and uncertainty:
- Introduction to probability calculation
- Confidence intervals
- Description of the main epidemiological and clinical study designs
- Examples of data collection and management.
- Types of variables and of measurement scales
Descriptive statistics:
- Construction and reading of frequency tables
- Construction and reading of the most commonly used graphs in medical statistics.
- Calculation and interpretation of measures of central tendency and measures of dispersion (mean, median, centile, range, standard deviation)
- Calculation and interpretation of measures of association between qualitative variables (relative risk, risk difference and odds ratio) and between quantitative variables (correlation and regression)
Probability and uncertainty:
- Introduction to probability calculation
- Confidence intervals
Teaching methods
Lectures, and guided exercises in the classroom
Teaching Resources
Lantieri PB, Risso D, Ravera G (2007) Elementi di statistica medica. McGraw Hill
Fowler J, Jarvis P, Chevannes M (2006) Statistica per le professioni sanitarie. EdiSes
Fowler J, Jarvis P, Chevannes M (2006) Statistica per le professioni sanitarie. EdiSes
Statistics for experimental and technological research
Course syllabus
Science and pseudosciences
- Hypothesis testing
- Statistical and clinical significance
- Single-subject designs
- Analysis of graphs for time series data
- Test C
- Hypothesis testing
- Statistical and clinical significance
- Single-subject designs
- Analysis of graphs for time series data
- Test C
Teaching methods
Lectures, and guided exercises in the classroom
Teaching Resources
Truzoli R (2011) ABA e riabilitazione psichiatrica. Milano: Franco Angeli Ed. (cap. 5 e 7).
Applied physics
FIS/07 - APPLIED PHYSICS - University credits: 2
Lessons: 20 hours
Professor:
Guerra Roberto
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 20 hours
Professor:
Casazza Giovanni
Statistics for experimental and technological research
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 1
Lessons: 10 hours
Professor:
Truzoli Roberto
Professor(s)
Reception:
by appointment to be agreed via e-mail
Hall 60 Ospedale L. Sacco via G..B. Grassi, 74 Milano