The aim of the course is to provide fundamental knowledge and practical techniques to analyse biotechnological data applying descriptive statistics, inferential statistics and hypothesis testing to understand and perform the most appropriate analysis. The course also aims to provide the basic tool to generate and analyse common experimental designs in biotechnology. Besides theoretical classes, close attention will be given to computer sessions.
Expected learning outcomes
Students will acquire the following skills: 1) organize, summarize and represent biotechnological data; 2) define the appropriate experimental design; 3) use the appropriate standard errors and confidence intervals; 4) realize the appropriate statistical test on data; 5) understand and comment the output of a statistical software.
Lesson period: First semester
(In case of multiple editions, please check the period, as it may vary)