Principles of Mathematics and Physics with Elements of Biostatistics and Computer Science

A.Y. 2024/2025
10
Max ECTS
104
Overall hours
SSD
FIS/07 INF/01 MAT/05
Language
Italian
Learning objectives
The course provides the student with basic knowledge of mathematics, physics, and elements of bioinformatics and statistics. The mathematics and informatics part provides basic concepts of the theory of regular real-valued functions of real variable, the fundamentals of statistics and probability theory. The physics part provides knowledge in the fields of mechanics, fluids, thermodynamics, electrostatics and magnetism, useful for quantitatively solving simple problems, qualitatively describing physical phenomena related to the biological field, and understanding the principles of operation of some laboratory instrumentations.
Expected learning outcomes
At the end of the course the student should be able to: 1) Analyze real-valued functions of real variable, both from the point of view of computation and description of elementary models; 2) Apply the basic tools of statistics and probability calculus; 3) Describe different physical quantities (scalars and vectors) and their units of measurement; perform conversions, equivalences and vectorial calculus. 4) Apply basic principles of dynamics and thermodynamics, definitions of energy (kinetic and potential) and work, conditions for conservation of energy, basic laws for motion of fluids and charged particles in electric and magnetic fields. 5) Set up and quantitatively solve a physical problem from simple assumptions and following the same scheme used in class. 6) Evaluate the reliability of values of physical quantities and quantitative solutions to problems. 7) Identify the conditions of use and limitations of some laboratory instruments.
Single course

This course can be attended as a single course.

Course syllabus and organization

Linea AL

Responsible
Lesson period
year
Course syllabus
Mathematics-Computer Science: functions with one real variable, limits and asymptotic estimates, derivatives, integrals, mathematics in physics, elements of probability and statistics. Basics of vector calculus. Statistics with spreadsheet.
Physics: Units of measurement, dimensional analysis, mechanics (kinematics, dynamics, field concept, conservative forces, conservation of energy, work of a force, kinetic energy, potential energy, fluids (Pascal's law, Stevino's law, principle of Archimedes, surface tension, capillarity, ideal fluids, fluid motion, Bernoulli's theorem, viscosity, sedimentation and centrifugation (only notes)). Gases and thermodynamics (kinetic theory of gases, the law of perfect gases, heat, thermodynamic transformations (only notes), principles of thermodynamics). Notes on electrostatics and Magnetic fields
Prerequisites for admission
Basic knowledge of Mathematics and Physics. Trigonometry is considered acquired.
Teaching methods
Classroom lessons and exercises for the mathematics and physics modules. Remote synchronous lessons and exercises for statistics and Computer science.
Teaching Resources
Textbook: Principi di Fisica per indirizzo biomedico, Borsa Lascailfari ed Edises
Any other universiti physics textbook is ok (for example Scannicchio, fisica Biomedica edizioni EDISES)
Assessment methods and Criteria
he Mathematics, Computer Science and Physics exams will be taken separately. The Mathematics and Physics exams will consist on a written and an oral part. The computer science part will be a practical test on a computer. The evaluation will be weighted at 50% for skills in Physics, 40% for skills in Mathematics and 10% for those in computer science/statistics. It is necessary to be sufficient in all modules to obtain the overall evaluation.
FIS/07 - APPLIED PHYSICS - University credits: 5
INF/01 - INFORMATICS - University credits: 1
MAT/05 - MATHEMATICAL ANALYSIS - University credits: 4
Practicals: 48 hours
Lessons: 56 hours

Linea MZ

Lesson period
year
Course syllabus
Mathematics - Informatics: functions with one real variable, limits and asymptotic estimates, derivatives, integrals, mathematics in physics, elements of probability and statistics. Basics of vector calculus. Statistics with spreadsheet.
Physics: Units of measurement, dimensional analysis, mechanics (kinematics, dynamics, field concept, conservative forces, conservation of energy, work of a force, kinetic energy, potential energy, fluids (Pascal's law, Stevino's law, principle of Archimedes, surface tension, capillarity, ideal fluids, fluid motion, Bernoulli's theorem, viscosity, sedimentation and centrifugation (only notes)). Gases and thermodynamics (kinetic theory of gases, the law of perfect gases, heat, thermodynamic transformations (only notes), principles of thermodynamics). Notes on electrostatics.
Prerequisites for admission
Basic notions of mathematics, physics and statistics. Trigonometry is considered acquired.
Teaching methods
Classroom lessons and exercises for the mathematics and physics modules. Remote synchronous lessons and exercises for statistics and Computer science.
Teaching Resources
Mathematics and statistics notes: "Elements of Mathematical Analysis and Statistics" M. Boella.
Physics course slides uploaded to the course website. Recommended physics textbook: A. Lascialfari, F. Borsa, A.M. Gueli "Principi di Fisica per indirizzo biomedico e farmaceutico", ed. EDISES or alternatively D. Scannicchio, E. Giroletti "Elementi di Fisica Biomedica", ed. EDISES
Online interactive simulations: https://phet.colorado.edu/en/simulations/filter?subjects=physics&type=html,prototype
Assessment methods and Criteria
The Mathematics, Computer Science and Physics exams will be taken separately. The Mathematics and Physics exams will consist on a written and an oral part. The computer science part will be a practical test on a computer. The evaluation will be weighted at 50% for skills in Physics, 40% for skills in Mathematics and 10% for those in computer science/statistics. It is necessary to be sufficient in all modules to obtain the overall evaluation.
FIS/07 - APPLIED PHYSICS - University credits: 5
INF/01 - INFORMATICS - University credits: 1
MAT/05 - MATHEMATICAL ANALYSIS - University credits: 4
Practicals: 48 hours
Lessons: 56 hours
Professor(s)
Reception:
Friday afternoon (15:00-17:00) - We strongly suggest to contact prof. Franco Camera via e-mail
Office