ChE-650 / 1 credit

Teacher(s): Vacat ., Oberli Solène

Language: English

Remark: Next time Fall 2021


Frequency

Only this year

Summary

Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential of these methods and their applications.

Content

Note

Fall 2021

Keywords

Artificial lntelligence-based algorithms, Artificial Intelligence applications in chemistry, physics , life and material

Keywords: sciences, seminar series

Learning Prerequisites

Recommended courses

Recommended courses           1) Machine Learning, CS-433, 2) Deep Learning EE-559, 3) Artificial Neural Networks, CS-456

Assessment methods

Term paper

In the programs

  • Number of places: 100
  • Exam form: Term paper (session free)
  • Subject examined: Artificial intelligence in chemistry and beyond (fall)
  • Lecture: 10 Hour(s)
  • Project: 8 Hour(s)

Reference week