The two-day extensive course targets the major pitfalls of experimental design. The practical examples are demonstrated in the field of light microscopy, however, the skills you acquire are valid and necessary in any area of research, development or industry.
The course introduces the individual phases of experimental design, for instance, hypothesizing, sampling theorems, data acquisition, data processing and analysis including AI or data interpretation, and highlights the principal aspects in designing an experiment in general. The course is highly recommended for undergraduate and Ph.D. students, however, anyone interested in light microscopy, data processing and analysis or research methodology is warmly welcomed.
