D90004 - ECONOMIC INTELLIGENCE & DECISION SUPPORT SYSTEMS

Information management, data handling, and particularly "Big Data" management, along with related quantitative models supporting the Decision-Maker (DM), increasingly characterize the decision-making process required in an era dominated by complexity and uncertainty. Knowing how to interpret and effectively read the data available to a company and creating appropriate models for identifying optimal strategies represent the key to competing effectively in the global market. Decision Support Systems & Economic Intelligence is an integrated course designed to enable students to acquire skills, knowledge of technologies and methods that allow for data analysis, both current and related to past business performance, in order to guide the decision-making process and planning through forecasting activities. The course provides a comprehensive introduction to Decision Support Systems, allowing students to become familiar with various types of problems and with the quantitative methods most commonly used in solving economic and management problems and in developing decision-making strategies. An applications-oriented approach will be emphasized. Specific attention will be devoted to the practical implementation of the proposed methodologies through commonly used software packages in business practice (Excel), introduction to Python and neural networks. Part of the course will be dedicated to decision theory under uncertainty and Artificial Intelligence (machine learning and deep learning).