At the end of the course, students will have achieved the following learning outcomes according to the Dublin descriptors.
Knowledge and understanding: knowledge and understanding of Internet security and privacy, the basics of artificial intelligence, spreadsheets and presentation tools.
Applying knowledge and understanding: conscious use of privacy and security on the Internet, artificial intelligence and its limitations, spreadsheets for data processing in the healthcare sector, and presentation tools for representing ideas/projects/results.
Making judgements: developing ethical and legal awareness in the management of sensitive data (privacy) and network security, recognising the potential and limitations of artificial intelligence, collecting and analysing healthcare data with spreadsheets, presenting healthcare data in a scientific and concise manner using presentation tools.

Artificial intelligence: history, state of the art and evolution, neural networks, machine learning, backpropagation, various applications and medical-scientific applications.  
Internet security and privacy: online life, big data, privacy, cloud, social networks, commercial value of internet users, threats and precautions, cookies, WiFi networks, passwords, legal protections, advertising, spam and hoaxes. 
Excel spreadsheets: tables, operations and expressions, statistical, mathematical and search functions, graphs, conditional formatting.
PowerPoint presentations: use and development of the application, management of text, tables, graphs, organisational charts, drawings, multimedia files and external links, animations and revisions.