Basic knowledge of the most important statistical-methodological tools of the descriptive and inferential statistics for: design of experiments, data collection and analysis, interpretation of scientific literature. Introduction to the main problems related to the computational analysis of biological sequences (DNA, RNA, proteins).

The student will be able to: understand the main concepts of study design, implement statistical analysis, read the scientific literature presenting descriptive and inferential statistic results, acquire the basic knowledge and concepts related to computational methods and techniques for collecting, managing and analyzing data in molecular biology and will master the main computational tools necessary to extract information of interest for biomedical research from the main sequencing databases.

Knowledge and understanding - at the end of the course the student will acquire the basic knowledge for identifying, understanding and conducting studies in the presence of quantitative and quantitative data in scientific research in the field of biotechnology.

Ability to apply knowledge and understanding - at the end of the course the student will acquire critical ability to participate in conducting studies in scientific research in the field of biotechnology.

Autonomy of judgment - at the end of the course the student will acquire critical ability to evaluate studies in scientific research in the field of biotechnology.

Communication skills - at the end of the course the student will have acquired adequate scientific terminology and will be able to present with proper language the topics covered in the course.

Learning ability - at the end of the course the student will be able to understand and critically evaluate the scientific literature that involves the use of descriptive and inferential statistical methods in the field of biotechnology.