D1. KNOWLEDGE AND UNDERSTANDING

Learn the basic concepts of physics (measurement, modelling, verification) and the laws of Newtonian mechanics, electromagnetism, thermodynamics, fluid mechanics.

D2. APPLIED KNOWLEDGE AND UNDERSTANDING

Set up and solve simple problems of general physics, solve specific ordinary differential equations for general physics problems, draw Cartesian graphs and extract information from them, write down the numerical results with appropriate units and significant digits

D3. MAKING JUDGEMENTS

Model physical phenomena using the laws of general physics, critically assess the approximations introduced in the model

D4. COMMUNICATION SKILLS

Express the solutions to the proposed problems using correct and coherent mathematical language

D5. LEARNING SKILLS

Acquire a systematic approach to modelling physical phenomena that will allow the student to tackle more complex problems

Knowledge of differential and integral calculus, as well as trigonometry

The course will introduce the basic concepts of physics, as well as the physical laws and methods necessary to solve general physics problems. - Basic concepts: physical quantities, units, measurement uncertainty, significant digits, theoretical modelling and experimental verification - Elements of general physics: kinematics, dynamics, electricity, magnetism, thermodynamics, fluid mechanics

R.A. Serway, J. W. Jewett, "Principi di fisica", or another text on general physics.

Physics is a fundamental field of science, with concepts and methods that extend to almost every scientific activity. This course serves multiple purposes: it not only provides a broad overview of the most important concepts in classical physics, but also helps students develop problem-solving skills that are highly transferable across scientific disciplines. Since this course is specifically designed for students with a strong interest and background in machine learning and data analysis, it also includes practical programming experiments for simulation and physical data processing. The topics covered are: 1. Basic concepts: physical quantities, units, measurement uncertainty, significant digits, experimental method 2. Three-dimensional kinematics: velocity, acceleration, systems of reference 3. Dynamics: force, mass, momentum, electric and gravitational interactions, friction and resistance, kinetic and potential energy, work, power 4. Electricity and magnetism: current and potential, electrical circuits 5. Thermodynamics: pressure, temperature, gas laws, entropy, heat engines 6. Fluid mechanics: Archimedes' principle, hydrostatic laws, Bernoulli's equation Skills developed: 1. Order of magnitude calculations, dimensional analysis 2. Proper usage of mathematical tools, such as calculus and vectorial operations 3. Accurate transfer from physical problems into mathematical formulation 4. Elementary programming concepts in simulation of physical systems and analysis of experimental data.

Lectures including both theoretical parts and exercises to illustrate the strategy to set up and solve the proposed problems. The contents of the course will also be illustrated through some numerical sessions using the python language

.

Written exam including both theoretical questions and general physical problems analogous to those presented in the course. To pass the exam, the student must be able to set up correctly all the proposed problems. To get the highest mark, the student must answer correctly to all the theoretical questions and solve correctly all the proposed problems