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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2024/2025
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 057252 - TECHNOLOGY RISK GOVERNANCE
Cfu 5.00 Tipo insegnamento Monodisciplinare
Docenti: Titolare (Co-titolari) Trucco Paolo

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Arc - Urb - Cost (Mag.)(ord. 270) - MI (1096) MANAGEMENT OF BUILT ENVIRONMENT - GESTIONE DEL COSTRUITO*AZZZZ057809 - TECHNOLOGY RISK GOVERNANCE
Ing Ind - Inf (Mag.)(ord. 270) - BV (479) MANAGEMENT ENGINEERING - INGEGNERIA GESTIONALE*AZZZZ057252 - TECHNOLOGY RISK GOVERNANCE
097315 - SAFETY ENGINEERING AND MANAGEMENT
Ing Ind - Inf (Mag.)(ord. 270) - BV (483) MECHANICAL ENGINEERING - INGEGNERIA MECCANICA*AZZZZ057252 - TECHNOLOGY RISK GOVERNANCE
057305 - INDUSTRIAL RISK MANAGEMENT

Obiettivi dell'insegnamento

Technology-driven businesses are nowadays struggling to keep up with the rapid pace of technology innovation and change, such as the increasing complexity of modern cyber-physical systems. In this context, Technology Risk Governance (TRG) comprises the set of strategies, methods and organisational models that different organisations put in place for understanding, assessing and managing technology-related risks. This course aims at transferring to students theoretical and practical knowledge on TRG through in class discussion of real cases and testimonials from companies, which will cover a wide spectrum of industrial and service systems (e.g. manufacturing, energy, transport).

The course addresses the state-of-the-art approaches, methods and models for supporting risk-informed decisions in managing complex socio-technical systems, from technology selection to system design, from organisational risk factors to regulation and governance.


Risultati di apprendimento attesi

After successful completion of this course module students:

  • Will demonstrate the ability of identifying and analysing technology risks in cyber-physical systems, eventually discussing alternative mitigation options (Knowledge and understanding);
  • Will be able to select and apply proper qualitative and quantitative technology risk assessment methods at different system life cycle stages (Applying Knowledge and understanding);
  • Will be able to identify and critically discuss emerging relevant challenges to the governance of technology risks in cyber-physical systems, leveraging on state-of-the art knowledge (Making Judgements and Learning skills), and prepare a technical report on technology risk assessment (Communication).

Argomenti trattati

The course addresses the state-of-the-art approaches, methods and models for supporting risk-informed decisions in managing complex socio-technical systems, from technology selection to system design, from organisational risk factors to regulation and governance. More specifically: 

  • Risk governance of new and emerging technologies. Technology outlook and risk assessment methods for technology foresight and selection. Discussion of application cases.
  • Risk analysis of complex socio-technical systems. Risk definition, modelling and reporting under the precautionary principle; Risk engineering methods (with exercises on FMECA, FTA-ETA, PRA). Safety and information security analysis of cyber-physical systems: differences and relationships.
  • Human and Organisational risks in complex socio-technical systems. Modelling and analysis of human and organisational risk factors; Risk Management of safety-critical and mission-critical systems (the High Reliability Organisation theory). Critical incident analysis case discussion. Discussion of industrial practices; Testimonials.
  • Risk governance of interdependent systems. Characteristics of networked cyber-physical systems. Types of interdependencies. Modelling tools for vulnerability and interdependency analysis. Risk governance models and processes, discussion of cases and testimonials from companies.

The learning experience of this course includes, in addition to face-to-face lectures, numerical exercises, case discussions, a group project, real examples and interactions with guest speakers from industry.


Obiettivi di sviluppo sostenibile - SDGs
Questo insegnamento contribuisce al raggiungimento dei seguenti Obiettivi di Sviluppo Sostenibile dell'Agenda ONU 2030:
  • SDG9 - INDUSTRY, INNOVATION AND INFRASTRUCTURE
  • SDG17 - PARTNERSHIP FOR THE GOALS

SDG9 - INDUSTRY, INNOVATION AND INFRASTRUCTURE: 8 hours (correposnding to 2 classes) are devoted to introducing the technological and organisational challenges posed by Critical Infrastructure Protection and Resilience objectives in modern societies. Corresponding strategies and solutions are discussed with reference to industrial good practices.

SDG17 - PARTNERSHIP FOR THE GOALS: 4 hours (corresponding to 1 class) are allocated to introducing and discussing institutional programmes and Public-Private Partnerships in the area of Critical Infrastructure Protection at regional, national and supranational levels.


Prerequisiti

None.


Modalità di valutazione

Group Assignment: Groups of students (max 3 students/group) will be engaged in actively applying risk management principles, models and methods by means of a major assignment. The assignment may take the form of a Technology Risk Assessment study, or an ex-post systematic analysis of a technology-driven industrial accident, by making use of the methods and tools presented in class. The assignment is intended to evaluate the student’s ability to: i) choose and apply the most appropriate approach and methods given the key features of the complex socio-technical system at stake; ii) examine and assessing the suitability of an organization’s technology risk governance model; iii) preparing a technical report on technology risk governance. The deliverable consists of a final written report;

During classes some minor assignments will be suggested, as an extension of in-class exercises, to be completed in groups on a voluntary basis.

 

Written test: focuses on analytical problems in technology risk assessment, aiming at evaluating the student’s ability of using proper methods and correctly interpreting results.

 

Grading: Student evaluation will be based on course assignments:

  • Group assignment: 50%;
  • Written test: 50%;
  • The submission of minor assignments may award the student with max 0.5/30 point each.

 


Bibliografia
Risorsa bibliografica obbligatoriaCourse instructor, Teaching notes, Case texts and suggested readings
Note:

Available on Beep course web page

Risorsa bibliografica facoltativaBedford, Tim & Cooke, Roger M, Probabilistic risk analysis: foundations and methods, Editore: Cambridge University Press, Anno edizione: 2012 https://www.cambridge.org/core/books/probabilistic-risk-analysis/E7AB7D462EA12249CA33D828B6A44ECF
Risorsa bibliografica facoltativaReason J. T., Managing the risks of organizational accidents, Editore: Routledge-Ashgate, Anno edizione: 1997

Software utilizzato
Nessun software richiesto

Forme didattiche
Forma Didattica Ore Didattica Assistita
(hh:mm)
% Didattica Assistita
DIDATTICA TRASMISSIVA/FRONTALE
20:00
47.6 %
DIDATTICA INTERATTIVA/PARTECIPATIVA
20:00
47.6 %
DIDATTICA VALUTATIVA
0:00
0.0 %
DIDATTICA LABORATORIALE
0:00
0.0 %
DIDATTICA PROGETTUALE
2:00
4.8 %
Totale ore didattica assistita (hh:mm) 42:00
Totale ore di studio autonomo (hh:mm) 83:00

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. 1.10.0 / 1.10.0
Area Servizi ICT
25/07/2024