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
1 Key aspects of automation in chemistry
1.1 Overview of the different approaches existing in the field of lab automation
1.2 Study of existing and currently developed equipment
2 The automation tools
2.1 The workflow analysis (+ practical session)
2.2 Elements of robotics (+ practical session)
2.3 Interfacing equipment (+ practical session)
2.4 IT structure of an automated laboratory
3 Data management
3.1 Data ontology and data treatment
3.2 Closing the loop
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