Design and Automation in Experiments

URL study guide

https://tue.osiris-student.nl/onderwijscatalogus/extern/cursus?cursuscode=31DAE&collegejaar=2025&taal=en

Omschrijving

Experimentation and data acquisition

• Techniques for data acquisition
• Handling and operation of scientific equipment
• Design of Experiments:
  • Formulating research questions
  • Implementing automation in experimental design

Data management and processing

• Experimental logging and record-keeping
• Automation in data collection and processing
• Uncertainty analysis in experimental results
• Curve fitting techniques for analyzing data

Computational programs and analysis tools

• Using Matlab for data analysis and simulations
• Using Origin for data visualization and processing

Communication and reporting

• Presenting experimental results:
  • Poster pitch techniques
• Reporting:
  • Writing detailed reports
  • Designing and creating scientific posters

Group work and collaboration

• Planning and organizing tasks within a team
• Dividing tasks effectively among team members
• Giving and receiving constructive feedback (peer reviews)
• Reflecting on group processes and outcomes

Applications in optics

• Principles and applications of diffraction
• Polarization techniques
• Interferometry
• Microscopy:
  • Assembly
  • Alignment
  • Operation
• Optical components:
  • Lenses and gratings

Doelstellingen

At the end of this course, students are able to:

1. plan and execute an experiment within the given time;
2. work together with other students to formulate a research question, investigate the research question, share findings, and reflect on the research question;
3. based on defining and controlling the complete design process related to the research question, design, build, and align a setup for an optical experiment;
4. automate and control an experimental setup;
5. automatically acquire data, and analyze and interpret the data;
6. document the design and experimental data of the research in a digital logbook, including data management (FAIR principles of data management)
7. analyze the precision and accuracy of a measurement;
8. present scientific results with a joint poster, presenting the research question, results, and a reflection on the research question;
9. share research results in a joint scientific report, describing the research question, methodology, results of the experiments, and reflection on the research question.

Beoordelingsmethode

Report, presentation and notebooks