The course fits into the overall program curriculum pursuing some of the defined general learning goals. In particular, the course contributes to the development of the following capabilities:

• Understand context, functions, processes in a business and industrial environment and the impact of those factors on business performance

• Identify trends, technologies and key methodologies in a specific domain (specialization streams)

• Design solutions applying a scientific and engineering approach (Analysis, Learning, Reasoning, and Modeling capability deriving from a solid and rigorous multidisciplinary background) to face problems and opportunities in a business and industrial environment

Intended Learning Outcomes

• Understand context, functions, processes in a business and industrial environment and the impact of those factors on business performance:
  • Illustrate recent technological trends in data acquisition
  • Illustrate the cloud computing paradigm
  • Give examples of use of RFID, sensors, mobile computing
  • Illustrate project management methods

• Identify trends, technologies and key methodologies in a specific domain (specialization streams)
  • Compare ethical and societal issues of digital technology
  • Criticize security threaths and illustrate possible solutions
  • Compare OLTP and OLAP

• Design solutions ausing digital technologies using design frameworks and notations such as BOAT and ArchiMate.
• Understand Python code fragments performing data acquisition and processing.

The course studies the following topics:

• Organizations, management and the networked enterprise, a preliminary analysis of Innovation Systems in present-day global systems and their role inside world-class organizations and small enterprises.
• Global eBusiness collaboration, the link between business processes and Information Systems and the central role of systems enabling collaboration in modern-day environments.
• Enterprise Architectures and architectural components in an Information System: Business, Organizational, Functional Architectures, Technological aspects. The Zachman framework. The BOAT approach and the ArchiMate notation to represent Enterprise Architectures.
• IT infrastructure and emerging technologies: service-based approaches (Iaas, PaaS, SaaS), cloud computing, mobile information systems, RFID and IoT.
• Ethical and social aspects of IS.
• IS security, privacy issues, and the risks connected to systems vulnerability and abuse. Principles of cryptography and digital signature. Blockchain technology. Introduction to GDPR.
• Foundations of Business Intelligence: databases and information management, datawarehouses.
• Managing knowledge and how to exploit enterprise-wise data in all its forms, from structured information to unstructured and volatile data.
• Achieving operational excellence and customer intimacy: enterprise applications and how to exploit Information Systems capabilities to acquire, manage and keep customers in the rapidly-changing environment of today’s markets, thanks to updated and effective Information Systems.
• Managing projects, best practices for project selection, management and exploitation, acquiring perception on Information Systems business value, change management and risk management.
• Introduction to the Python programming language: understanding data acquisition and processing. Classes, methods and functions, attributes, data types and their manipulation (string, list, dictonary), control structures, file handling

Basic knowledge of fundamentals of programming.