Found 6 relevant results in 1.76s where lecturer="Lorenzo De Pietro"
Projects and Lab Courses III
Projekte und Praktika III
A project lasting one semester, with special requirements regarding choice of materials, properties, etc., concluding project presentation event.Experiments to teach experimental competence using selected examples from polymer chemistry, analytics and physics (e.g. for the storage or conversion of energy), partly closely based on courses.
Projects and Lab Courses IV
Projekte und Praktika IV
On the one hand, P2-IV consists of an elaborate semester project, that is presented at a project presentation event at the end of the semester. On the other hand, there are short chemistry projects in parallel, which are among others closely coordinated with Materials Synthesis II, and physics experiments on e.g. metal physics and solid state physics. One is related to PSI (incl. visit).
Projects and Lab Courses II
Projekte und Praktika II
Practical introduction to the foundations of scientific work, materials science, physics and chemistry in the form of practical experiments and a longer, constructive project, partly closely related to the lectures. Analytical, constructive, chemical and physical methods are tested, project work is practised and safe working in the laboratory and workshop is practiced.
Projects and Lab Courses I
Projekte und Praktika I
Practical introduction to the basics of the scientific method, materials science, physics and chemistry in the form of laboratory experiments and projects, some of which are closely related to the lectures in the first year. Important chemical and physical methods are tested, project work is practiced and the basics of working safely in the laboratory are learned.
Programming I
Programmieren I
This course provides an introduction to the general computer and programming concepts, which are necessary to perform numerical calculations, representations and simulations in materials science.
Programming II - Stochastic Simulations
Programmieren II
This course gives an introduction to the use of stochastic methods for the simulation of materials and their properties. Basic concepts of stochastics and probability theory are discussed, as well as how to implement and run the corresponding simulations within Python.