Μαθήματα

Introduction, Business Intelligence, Business Intelligence and Decision Making, Design and Development of Business Intelligence Systems, Optimizing Business Performance with Business Intelligence Systems, Knowledge Management, Importance of Knowledge Management, Data representation (relational and OLAP), Data Mining, Structured and Unstructured Information, Knowledge capture, acquisition and elicitation, Knowledge representation methods, Transformation, Data Analysis and Reporting, Statistical Analysis Methods. Knowledge Management Systems.

Introduction to Big Data, Technologies Related to Big Data (Cloud/IoT), Map-Reduce/Hadoop, Data Processing  & Storage, Big & Streaming Data (Apache Spark & Storm), Synopses for Big Data (Sampling, Histograms, Sketches), Lambda Architecture - Big Data Visualization

Origin and circulation of ideas; evolution of ideas into firms; economic value of innovative firms; the migration of managed economies towards entrepreneurial economies; impact of innovative firms on job creation, labor mobility. EF constraints: information asymmetry, moral hazard, borrowing capacity; Cash flow in startups; Financing instruments: grants, angels, incubators, VCs, strategic partners, crowdfunding. Financial markets and technology companies. Social Enterpeneurship: Business models, design thinking and personal leadership in social ventures, role of civil society, social value, science shops, etc.

You can access the tutorial meetings using the following link:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZjQ0ZjE3ZTItZGYwOS00ZGE1LTg4ZTEtOWIwODFhYmFkYmFj%40thread.v2/0?context=%7b%22Tid%22%3a%22b8940084-7e60-46ee-b148-0fcec483d833%22%2c%22Oid%22%3a%22db43239e-4570-49ea-9526-1bb43692f919%22%7d