CH-801 / 1 credit

Teacher: Corminboeuf Anne-Clémence

Language: English

Remark: June 7 - 9 2021


Summary

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 computational chemistry, catalysis, and high-throughput screening are discussed from theoretical, expe

Content

Keywords

Big Data, machine learning, high-throughput screening, computational chemistry, catalysis

Resources

Websites

In the programs

  • Exam form: Written (session free)
  • Subject examined: Big data and machine learning for chemistry
  • Lecture: 14 Hour(s)
  • Exercises: 3 Hour(s)

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22