The first part of the course presents the classical methods of asymmetric synthesis. The second part of the course introduces retrosynthesis strategies based on the disconnection approach. ...
This hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insight ...
The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, s ...
This course gives a comprehensive view of the main research topics being explored in the different sections of Physics, and the highlights from EPFL beyond the specific topic of each PhD. The students are guided through the topics starting from the basics ...