Course

CH-620: Efficient Synthetic Routes Towards Bioactive Molecules

The course will provide a synopsis of the chemistry of f elements (lanthanides and actinides) covering structure, bonding, redox and spectroscopic properties and reactivity. The coordination and organ

CH-431: Physical and computational organic chemistry

This course introduces modern computational electronic structure methods and their broad applications to organic chemistry. It also discusses physical organic concepts to illustrate the stability and

CH-422: Catalyst design for synthesis

This course on homogeneous catalysis provide a detailed understanding of how these catalysts work at a mechanistic level and give examples of catalyst design for important reactions (hydrogenation, ol

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

HUM-471: Economic growth and sustainability I

This course examines growth from various angles: economic growth, growth in the use of resources, need for growth, limits to growth, sustainable growth, and, if time permits, population growth and gro

CH-432: Structure and reactivity

To develop a detailed knowledge of the key steps of advanced modern organic synthesis going beyond classical chemistry of olefins and carbonyls.

CH-332: Medicinal chemistry

Sitting at the crossroad of organic chemistry and medicine, this course outlines how an initial hit compound transitions into a lead candidate, and ultimately a drug, in the modern drug discovery worl

CH-708: Frontiers in Organic Synthesis. Part II Synthesis of carbo- and hetero-cycles

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CH-707: Frontiers in Chemical Synthesis. Towards Sustainable Chemistry

This training will empowered the student with all the tools of modern chemistry, which will be highly useful for his potential career as a process or medicinal chemist in industry.

CH-801: Big data and machine learning for chemistry

An overview of the main concepts and tools of big data, automatisation, and applications of AI in chemistry is presented through lectures and workshops. Specific applications of machine learning to co