The course provides the fundamental knowledge about computer science fundamental knowledge about computer science applied to the Medical Statistic. The course provides methodologies for exploring and analyzing data in biomedical research. The student must be able to use the concepts learned to: evaluate data quality; build a data matrix; analyze dataset; build a graphical representation; interpreting and reporting basic research results.
Course Prerequisites
None
Teaching Methods
Oral lessons, which are taught in the computer lab using KIRO multimedia platform (e.learning platform UNIPV).
Assessment Methods
The exam will focus on the topics covered in the classroom and it will be a written exercise using the PC (whose specifications will be communicated to students during the course).
Defining the structure of Excel software (version 2013) and introduction to the main techniques of descriptive statistics: electronic spreadsheet, toolbar structure and formula bar; data matrix and evaluation of data quality; sort and filter commands; Data Analysis and functions (mean, mode, median, standard deviations. variance and range); single/double entry pivot tables; creation of classes for quantitative variables; creation of a pivot chart; interpreting and reporting basic research results.
