Lecturer: Paolo Magni  

Course name: Biomedical data analysis
Course code: 502497
Degree course: Bioingegneria
Disciplinary field of science: ING-INF/06
University credits: CFU 6
Course website: http://aimed11.unipv.it/iscrizioni/main.htm

Specific course objectives

The course helps the student to manage the methods of statistical analysis and probabilistic most used in engineering and scientific literature. It provides the basic tools of probability and statistics. It should be stressed that the expertise in statistical data analysis is an increasingly important requirement in many types of careers in the industrial sector, professional and financial.

Course programme

Course entry requirements

Course structure and teaching

Lectures (hours/year in lecture theatre): 25
Practical class (hours/year in lecture theatre): 30
Practicals / Workshops (hours/year in lecture theatre): 15

Suggested reading materials

Material distributed by the lecturer to the course mailing list subscribers

W. Navidi.. Statistics for Engineers and Scientists. McGraw-Hill.

W. W. Daniel. Biostatistics. John Wiley.

Testing and exams

The final evaluation consists of a written test and an oral part finalized to evaluate both the theoretical foundations of knowledge and the ability to solve exercises.