Automated and data-driven laboratories

Summary

In this course, taught by experts from the Swiss CAT+ West Hub, students will be introduced to key concepts in automation and data-driven chemistry. Using real-world cases, students will learn the theoretical skills and practical tools needed to automate a laboratory.

Content

Learning Prerequisites

Required courses

Bachelor level in chemistry or chemical engineering.

Learning Outcomes

By the end of the course, the student must be able to:

• Analyze a chemistry automation project in terms of feasibility, main features and equipment requirements.
• Design an automated chemical laboratory process and convert it into a logical workflow.
• Demonstrate a good level of understanding of data management, data chaining and data processing in the context of an automated laboratory.
• Explain an automated chemical workflow in clear terms to a microtechnic engineers and IT-developers.

Transversal skills

• Access and evaluate appropriate sources of information.
• Make an oral presentation.
• Write a scientific or technical report.
• Communicate effectively with professionals from other disciplines.

Teaching methods

power point presentation + practical sessions + continuous small group projects

Expected student activities

active participation to the lecture, active participation to practical sessions (organized in groups) and project follow-up throughout the semester (same group as for the practical sessions)

Assessment methods

Oral presentation of the project (25%)

Written project report (75%)

Supervision

Resources

Bibliography

power point presentation of the lecturer + extra material depending on program