Biostatistics and Design of Experiments in Biotechnology

The teaching aims to equip students with essential knowledge and skills to effectively describe and analyze biological and biotechnological data using appropriate statistical methods. It combines a solid theoretical framework with practical applications in descriptive and inferential statistics, including hypothesis testing. Additionally, the teaching introduces the fundamental principles of common experimental designs. Alongside lectures, significant emphasis will be placed on hands-on computer-based exercises.

Students will develop the following skills:
1) organize, summarize, and visually represent biotechnological data;
2) select and apply appropriate standard errors and confidence intervals for key statistical measures;
3) formulate hypotheses and perform suitable statistical tests;
4) identify and design appropriate experimental frameworks;
5) interpret and critically evaluate the results produced by statistical software.