CH-400 / 2 credits

Teacher: Miéville Pascal

Language: English


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

Assistants No
Forum Yes

Resources

Bibliography

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

In the programs

  • Semester: Fall
  • Exam form: During the semester (winter session)
  • Subject examined: Automated and data-driven laboratories
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: During the semester (winter session)
  • Subject examined: Automated and data-driven laboratories
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: During the semester (winter session)
  • Subject examined: Automated and data-driven laboratories
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: During the semester (winter session)
  • Subject examined: Automated and data-driven laboratories
  • Lecture: 2 Hour(s) per week x 14 weeks

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