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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 097384 - DIGITAL TECHNOLOGY
Docente Pernici Barbara
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - BV (479) MANAGEMENT ENGINEERING - INGEGNERIA GESTIONALE*AZZZZ097384 - DIGITAL TECHNOLOGY

Obiettivi dell'insegnamento

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


Risultati di apprendimento attesi

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 agile project management methods
    • Compare OLTP and OLAP
  • Identify trends, technologies and key methodologies in a specific domain (specialization streams)
    • Illustrate the cloud computing paradigm
    • Give examples of use of RFID, sensors, mobile computing
    • Compare ethical and societal issues of digital technology
    • Criticize security threaths and illustrate possible solutions
  • Design IT systems using design frameworks and the ArchiMate modeling concepts.
  • Understand Python code fragments performing data acquisition and processing.

Argomenti trattati
The course presents how to develop innovative IT projects and the elements for performing feasibility studies for information systems projects, focusing on their organizational and technological components, project management, and discussing the main choices to be performed. Case studies will be presented in the course.

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  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.
  • 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.

Prerequisiti

Basic knowledge of fundamentals of programming.


Modalità di valutazione
Written examination.
 
The exam will contain 2 questions (2/3 of the evaluation), to test the theoretical parts studied in the course and 2 exercises (1/3 of the evaluation), to test the identification and design capabilities developed during the course on ArchiMate and Python.
 
The exam is closed books. All questions must be at least partially answered.
 

Bibliografia
Risorsa bibliografica obbligatoriaLaudon & Laudon, Management Information Systems - Managing the digital firm, Global edition, 15th ed., paperback edition, Editore: Pearson, Anno edizione: 2017
Risorsa bibliografica obbligatoriacourse material will be made available on Beep during the course http://beep.metid.polimi.it
Risorsa bibliografica facoltativaG. Wierda, Mastering ArchiMate Edition III, Anno edizione: 2018
Risorsa bibliografica facoltativaPaul Grefen, Beyond e-business - Towards networked structures, Editore: Routledge, Anno edizione: 2016, ISBN: 9781315754697

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
30:00
45:00
Esercitazione
20:00
30:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 50:00 75:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
28/02/2020