Ε-Business from the technological, business and market perspective. Electronic re-structuring of private and public organizations. Electronic Intermediaries. Typical and Emerging E-Business Models. Mobile and Social Media Applications. New collaboration-based e-business models (e.g. crowdsourcing). Design of Business Plan for an innovative e-business startup.

Introduction to AI. Machine Learning. Data. Supervised Learning. Classification. Example-based Learning. Decision trees. Statistical Learning. Unsupervised Learning. Clustering. Meta-learning. Evaluation. Deep learning. The Weka Machine Learning Workbench.

Social Web. Social Networks. Social Media. Crowdsourcing. Social web text processing. Social web text mining. Sentiment analysis. Multimedia Information Retrieval. Information retrieval in social networks. Introduction to Semantics. Ubiquitous computing. Cultural Informatics. Interactive Art.

European Projects

National Projects

ICT as a means of knowledge, research and learning in the various disciplines. Basic concepts and terminology of the Teaching of Information Technology. Traditional teaching approaches and approaches based on modern theories of learning, learning difficulties in basic concepts of IT, examples of lesson plans and activities.

The Department of Informatics, Ionian University offers a body of courses in English language for students that wish to visit the Department using Erasmus+. The courses aggregate a total of 30 ECTS per semester. Each course will be offered only if a total of at least 9 Erasmus+ incoming students wish to attend.

This special issue shall shed light on new developments and implementation of soft computing in the fields of engineering, applied science and theoretical research. All interested researchers, academicians, engineers and scholars are invited to submit current research works in the field of artificial intelligence, including relevant applications in solving optimization and modeling challenges using computational intelligence.

Workshop on Computational Models for Neurodegeneration, with the participation of the Ionian University's Bioinformatics and Human Electrophysiology Lab (BiHELab). February 24, 2017, The Fields Institute