A new program in English within the MSc-degree of Chemistry focusing on integrating chemistry with fundamental concepts of ‘data-driven chemistry’.
Motivation
Chemistry is undergoing a paradigm shift from the preparation and study of single molecules and structures towards sophisticated systems in which chemical reactions, materials, and devices are interconnected. From the working mechanisms of biomolecules, to catalysis, to the design of materials, complexity is emerging as a pervasive concept in chemistry and offers a modern perspective that unifies many research areas. Complexity in chemistry also marks a transition towards information chemistry characterized by the treatment of large data sets that originate from studying and implementing systems with a vast parameter space.
Scope
The scope of this program is to provide chemistry students with the competences to study complex chemical systems in different areas of chemistry (catalysis, materials, synthesis) and with the tools to collect, analyse, and exploit large chemical data sets. Students will learn the fundamental concepts of ‘data-driven chemistry’, including machine learning, chemometrics, and design of experiments.
Students participating in this program are expected to be already familiar with the following subjects.
Mathematics: Calculus, Geometry and Algebra. Physics: classical mechanics and electromagnetism. AnalyticalChemistry: basic principles of chromatography, spectroscopy, and mass spectrometry. PhysicalChemistry: thermodynamics and quantum chemistry. InorganicChemistry: general chemistry and chemical kinetics; basic principles of solid-state chemistry, coordination chemistry, and complex ion equilibria. OrganicChemistry: structure-property relationships of organic molecules, basic knowledge of the reactivity of organic molecules, familiarity with the characterization of organic molecules.
For any information request, write your enquiry here
Questo sito utilizza i cookie per analisi statistiche: continuando la navigazione ne accetti l'uso.
