In this course, students will learn to apply statistical approaches to efficiently design and analyse bioengineering experiments. The course first briefly reviews some fundamental statistical concepts related to the design and analysis of experiments (statistical distributions, the central limit theorem, linear functions of random variables and error propagation, ANOVA, multiple regression). The main topics covered include: screening designs, full factorial designs, blocking and replication, response surface methods, custom designs, sequential design strategies, non-normal responses and transformations. The students will learn to apply these statistical approaches to solve practical problems in bioengineering, in particular to examine and control the interactions of living systems with molecular and physical factors. They will also be expected to become proficient in the use of statistical software to design experiments and analyse them. Finally, the students will be expected to gain enough knowledge.