ChE-606 / 1 credit

Teacher(s): Schwaller Philippe, Vacat .

Language: English

Remark: From fall 2023 to spring 2024


Frequency

Every 3 years

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

Keywords

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

Learning Prerequisites

Required courses

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

Assessment methods

Term paper: At the end of the semester, the students are required to deliver a report summarizing the main tapies addressed in the seminars with a special emphasize on one particular seminar, and a critical assessment of what they learned.

In the programs

  • Exam form: Term paper (session free)
  • Subject examined: AI in chemistry and beyond: Trends in the field
  • Lecture: 10 Hour(s)
  • Exercises: 8 Hour(s)
  • Project: 14 Hour(s)

Reference week

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