Numerical simulations are calculations performed on a computer using programs that implement a mathematical model for chemical, physical, or biological systems. They are fundamental to the study of processes that are too complex to be solved analytically. While the largest and most accurate simulations often use advanced computing capabilities, there is a large class of small and intermediate problems in many disciplines that can be addressed with more manageable tools. This course introduces modern programming languages (e.g. Python, R, Matlab, etc.) and computational tools (e.g. artificial intelligence - machine learning, deep learning) aimed at solving problems in earth, life and chemical sciences.
Relevant topics in chemometrics and data analysis (16h)
Instrumental or computational data contain useful information that can be difficult to extract. This course aims to provide the tools necessary to extract useful information from complex and large data sets that are difficult to interpret using traditional statistical techniques. This course introduces multivariate data analysis techniques (PCA, PLS) and kernel-based methods (kernel PCA, kernel SIMCA, kernel PLS, support vector machines (SVM)). Case studies will be presented to show the potential of the techniques described and different data sets will be analyzed.
Hot environmental topics in a changing world (16h)
Climate change, increasing demand for raw materials, the impact of pollution and waste, loss of biodiversity and the potential extinction of many plants and animals are putting pressure on our rapidly changing planet. This course will take students across disciplines, from emerging hot topics in geology to the natural sciences, from green economics to technology, to develop a deeper understanding of environmental issues and sustainability concerns.
Scientific Communication in English (20h)
This course will teach you how to communicate effectively in English (and any other language) in the academic world. You will learn how to: - Write a research paper using a simple, clear style that allows your readers to immediately understand your unique contribution; - Present your research at an international conference and network successfully to increase your chances of future collaborations; - Write effective emails to editors and fellow academics; - Write a CV. The classes are dynamic, interactive and, above all, very practical.
Corso Competenze Trasferibili (24h)
Opportunità e percorsi per la ricerca e l'innovazione nazionali e internazionali; Project Design; La Mobilità per i ricercatori, Full Bright ed Euraxesses Portal; Budgeting; Business Planning; I finanziamenti EU per la cittadinanza attiva; Career Development; I diritti di Proprietà Intellettuale
Corso Soft Skills "Bibliographic research, scientific writing and dissemination" (16h)
Introduction to bibliographic research, the use of scientific databases, the management of bibliographic citations in scientific work. Introduction to bibliometric indices and their importance in scientific publications.
