Cours

CH-801: Big data and machine learning for chemistry

Cours associés (32)

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Acquisition des notions fondamentales liées à la réactivité des molécules organiques, identification de la structure de petites molécules organiques au moyen des techniques de spectrométrie de masse,

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ENG-209: Data science for engineers with Python

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CH-335: Asymmetric synthesis and retrosynthesis

La première partie du cours décrit les méthodes classiques de synthèse asymétrique. La seconde partie du cours traite des stratégies de rétrosynthèse basées sur l'approche par disconnection.

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Basic organometallic chemistry will be covered in this course.

Structure and bonding in organometallic compounds.
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CH-629: Frontiers in Sustainable Chemical Synthesis

The students will become familiar with the most recent progress in sustainable synthetic chemistry, covering a broad rang of topics such as catalysis, heterocyclic chemistry, stereoselective synthesis

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ENG-436: Food biotechnology

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This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way.

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This course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems.

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