SAFE TRANSPORT AND LOGISTICS ENGINEERING

The course aims to provide students with basic and advanced skills on the properties and control of dynamic systems, with a focus on the control of traffic systems. Knowledge will be provided on the treatment of linear and non-linear systems, as well as on the concept of equilibrium point and stability. On the control side, optimisation-based controllers will be developed to minimise KPIs typical of the traffic networks domain, focusing on both complete and incomplete information problems.

Optimization is the discipline that concerns the investigation of the algorithms for searching the points of minimum or maximum of cost functions and functionals.

Written examination (with possible oral check) based on exam dates. Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities."
There will be 3 examination appointments for the winter session (mid-January to February) and 4 appointments for the summer session (June, July and September).

The written examination will focus on exercises related to the topics covered, e.g. the determination of properties of dynamical systems that are the subject of the course. While the oral examination is also designed to test the student's critical and analytical skills.

D. Xue, Y. Chen, D.P. Atherton, Linear Feedback Control: Analysis and Design with MATLAB (Advances in Design and Control), SIAM, 2007.
D. Bertsekas, Introduction to Linear Optimization, Athena Scientific, 1997.
Specific guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The course provides conceptual, technical and normative tools to design stormwater drainage systems, to mitigate the pollutant risk due to the oil spills in the marine environment, to mitigate the hydraulic and hydro-geological risk for inland transport infrastructure.

The course describes the environmental impacts in coastal area related to the sewer and stormwater discharges and the oil spills in the marine environment. It also describes the hydraulic and hydro-geological risk for inland transport infrastructures. It finally addresses the technical and normative aspects needed to manage these phenomena.

Before the exam, the spreadsheet and a short report on the verification of a simple hydraulic infrastructure must be sent to the lecturer via Teams. The oral exam consists of a presentation and discussion of the results of the group work carried out in the laboratory. The discussion of the group work must achieve a mark of >= 6/10 to gain access to the written exam. The written exam is a close ended questions test. The mark for the written exam must be >= 12/20 to be considered a pass. The final mark is calculated as the sum of the marks for the two parts of the exam.

The verification of the simple hydraulic infrastructure will be evaluated based on the correctness of the obtained results. During the oral presentation and discussion, the technical skills acquired by the student during the lectures and during the group work will be evaluated. The interaction with other students within the group will be also considered. The student must demonstrate the ability to synthesise and illustrate the concepts, as well as the ability to critically re-elaborate and effectively use the knowledge acquired.
The written close ended questions test will be evaluated based on the number of correct answers and the score associated to each question.

Specific guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The final exam consists in the preparation and defense of a master’s thesis, aimed at enhancing the skills acquired by the student during the study program, such as the capacity to analyze and solve complex engineering problems in transport and logistics. The thesis also aims to strengthen the student’s abilities to prepare technical-scientific reports and professional or research projects, in view of his/her future career.

The final examination consists of the discussion of a thesis manuscript, written by the student and aimed at ascertaining his/her technical-scientific and professional preparation.
Details can be found in the Teaching Regulations of the M.Sc. program, Art. 12:
https://servizionline.unige.it/unige/stampa_manifesto/RD/2022/10377.pdf

See Teaching Regulations of the M.Sc. program, Art. 12:
https://servizionline.unige.it/unige/stampa_manifesto/RD/2022/10377.pdf

See Teaching Regulations of the M.Sc. program, Art. 12:
https://servizionline.unige.it/unige/stampa_manifesto/RD/2022/10377.pdf

To be discussed with the thesis advisor on a case-by-case basis.

The objective of the course is to provide students with a set of theoretical and practical ICT tools applicable to the field of transport and logistics engineering, with the aim of enhancing the safety and efficiency of such systems. This objective is pursued through two teaching modules: Principles of Data Processing and Analysis and Telecommunications for Transport and Logistics. The first module aims to provide students with the necessary IT tools to collect, store, manage, and analyze data to be used in the context of transport and logistics systems, with particular emphasis on the development of methodologies to make such systems more efficient, sustainable, and safe. The second module aims at providing the basics of radio communication principles and a functional description of latest generation radio mobile systems for supporting traffic in mobility with particular focus on their application in transport and logistics.

The course aims at learning how to access, model, and manipulate (textual) data by providing concepts of object-oriented programming (Python scripts) and an introduction to data interchange files and databases.
The course includes frontal teaching activities alongside practical lecutures with the aim of consolidating the topics seen in class.
The course has a strong applicative connotation, then students are encouraged to tackle problems of increasing complexity independently.

The exam is composed of two parts.
A quiz part (10 questions -multiple choices- in 20 minutes) will test the database and SQL knowledge of the students, 1 point for each correct answer will be assigned (no penalty for wrong answers is foreseen).
A lab project (2 hours) where students should demonstrate their ability to access data from CSV files, manipulate file content to extract some information, and save the results.
Both the parts are delivered on AulaWeb.
Both parts should be sufficient to pass the exam (6 right answers for the quiz and a grade of 18 for the lab). The final grade is given by the weighted average of the two parts (30% the quiz and 70% the lab).
Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

The quiz aims to test the knowledge for accessing information in relational databases and the comprehension of SQL queries; while the lab project tests the acquired scripting knowledge.

All the slides and additional exercise material used during the lectures will be available on AulaWeb.
In general, the notes taken during the lectures and the material on AulaWeb are sufficient to prepare for the exam.

The objective of the course is to provide foundational knowledge on supply chain resilience and low environmental impact technologies for transport and logistics. This objective is pursued through two teaching modules: Supply Chain Management and Machines, Systems and Green Fuels for Transport and Logistics. The first module aims to provide students with an understanding of models for forecasting product demand, production planning, warehouse management and distribution of products between warehouses and distribution centers. The second module aims to provide knowledge on the main types of machines, with reference to those used in transport and logistic systems, as well as on energy systems and their environmental impact.

This unit consists of two modules: "Supply Chain Management" and "Machines, Systems, and Green Fuels for Transport and Logistics" The Supply Chain Management module provides methods and tools to design, analyze, and optimize the logistics and production networks that connect suppliers, companies, and customers. The aim is to train engineers capable of improving performance in terms of cost, service level, lead time, and reliability. The second module, Machines, Systems, and Green Fuels for Transport and Logistics, aims to provide knowledge of the main types of machinery, with particular reference to those used in transport and logistics systems, as well as energy systems and their environmental impact.

The course aims to provide students with a systemic understanding of safety and sustainability in industrial production systems and plant engineering. The learning objectives include the identification and assessment of potential risk factors, the exploration of innovative approaches for industrial and transport applications, the analysis of environmental impacts in production processes including the use of Digital Twins and AI, operations management of production processes with a sustainability-oriented approach. Emphasis will be given to the integration between safety culture and sustainable innovation in industrial settings.

The course aims to provide students with a systemic understanding of safety and sustainability in industrial production systems and plant engineering. The learning objectives include the identification and assessment of potential risk factors, the exploration of innovative approaches for industrial and transport applications, the analysis of environmental impacts in production processes including the use of Digital Twins and AI, operations management of production processes with a sustainability-oriented approach. Emphasis will be given to the integration between safety culture and sustainable innovation in industrial settings.

L’insegnamento si propone di fornire agli studenti internazionali l’opportunità di acquisire una conoscenza di base dell'italiano parlato e scritto.

L’insegnamento è rivolto a studenti internazionali e mira a sviluppare competenze linguistiche e comunicative di livello elementare (livello A del QCER). Il percorso introduce e consolida il lessico e le principali strutture morfosintattiche di base, sempre in relazione al loro uso comunicativo, per favorire una progressiva capacità di interagire in italiano in contesti personali, sociali e universitari.

Dopo le prime 15 ore di insegnamento è prevista una breve prova scritta in itinere, con funzione esclusivamente formativa e di monitoraggio della progressione degli studenti. La prova non concorre alla valutazione finale.
L’accesso alla verifica finale è subordinato allo svolgimento di cinque brevi produzioni scritte individuali, realizzate durante l’insegnamento a partire da tracce e domande guida fornite dalla docente e successivamente corrette dalla docente.
La verifica finale si svolge in lingua italiana, con modalità adeguate al livello linguistico di riferimento, e comprende:
una breve prova scritta sui principali contenuti linguistici e morfosintattici affrontati durante l’insegnamento, composta da esercizi di tipologia analoga a quelli svolti durante le lezioni e nel lavoro autonomo (ad es. scelta multipla e completamento);
una breve prova orale interattiva, consistente nella simulazione di un semplice colloquio conoscitivo su argomenti relativi al dominio personale;
la presentazione orale del proprio project work di circa 10 slide sul paese di origine, elaborato progressivamente durante l’insegnamento con il supporto della docente e realizzato prevalentemente in lingua italiana.

La prova scritta permetterà di verificare l’acquisizione delle principali strutture morfosintattiche affrontate durante l’insegnamento e la capacità di utilizzare il lessico previsto dal livello in semplici contesti comunicativi, tenendo conto della relazione tra forme linguistiche, funzioni comunicative e appropriatezza sociopragmatica.
La prova orale interattiva permetterà di verificare la capacità dello studente di comprendere semplici domande, fornire informazioni personali e partecipare a una breve interazione in italiano su argomenti familiari o di interesse personale. Saranno considerate l’efficacia comunicativa, la comprensibilità, la proprietà lessicale e la capacità di gestire una semplice interazione, compatibilmente con il livello linguistico atteso.
La presentazione del project work permetterà allo studente di reimpiegare in una produzione personale il lessico e le strutture linguistiche appresi e di sperimentare una prima e semplice esposizione orale in italiano, anche in relazione al proprio percorso accademico. La presentazione, realizzata in forma fortemente guidata con il supporto della docente e almeno per il 70% in lingua italiana, sarà valutata principalmente sulla base dell’impegno nella realizzazione del lavoro, della chiarezza e della comprensibilità dell’esposizione, in relazione al livello linguistico atteso.

I materiali didattici forniti dalla docente (slide, schede, esercizi, testi e materiali audio/audiovisivi), resi disponibili tramite AulaWeb, costituiscono il materiale di riferimento dell’insegnamento e il loro studio è obbligatorio.
Per lo studio individuale, il consolidamento e l’approfondimento sono inoltre consigliati, ma non obbligatori, i seguenti testi:
Quercioli, F.; Tossani, G., in alto! A1, Ornimi Editions, ISBN 978-618-84586-2-8.
Falcone, G.; Zogopoulou, T., Perfetto! 1. Esercizi di grammatica italiana. Livello A1-A2, Ornimi Editions, ISBN 978-618-84586-7-3.
Gli studenti che desiderano svolgere attività individuali di consolidamento o approfondimento potranno rivolgersi alla docente, anche su appuntamento, per ricevere indicazioni sulle attività e sugli esercizi più adeguati al proprio livello, alla progressione e alle specifiche esigenze di apprendimento.

The course aims at providing the knowledge on the main types of machines, with reference to those used in transport and logistic systems, as well as on energy systems and their environmental impact. The main objectives are: to provide adequate and critical knowledge of the main design and operating aspects of internal combustion engines and gas turbines power plants; to analyse combustion processes and pollutant emissions formation, including the relevant technologies for their control; to define criteria for the comparison of alternative fuels and propulsion systems based on conventional, electric, and hybrid technologies.

The unit deals with the most relevant topics related to machines and energy systems applied in the transport and logistics sector, analyzing their working principles, operating and technical issues and the relevant environmental impact. Alternative fuels are also considered, as a way to contribute to the decarbonization of the transportation sector.

Examination is based on an oral test, proposing two questions, selecting their subject among the unit topics.
Students with a certified learning disability (DSA), a disability, or other special educational needs are invited to contact the instructor at the beginning of the lessons to discuss teaching and examination arrangements that, while respecting the learning objectives of the course, take individual learning needs into account and provide appropriate accommodations. Please also note that requests for exam accommodations or exemptions must be submitted using the form available at this link https://modulionline.unige.it/richiesta-adattamenti#no-back , to the course professor, the DIME contact person ([email protected]), and the relevant office ( [email protected]) at least seven working days before the examination, in accordance with the guidelines available at this link https://unige.it/disabilita-dsa/richiesta-servizi

The following aspects will be evaluated:
knowledge and understanding of topics discussed during the lectures;
application of a critical approach to compare options and characteristics of machines and energy systems;
use of proper technical language;
skills in reproducing and discussing simple technical schemes.

Detailed notes on the different topics discussed in lectures will be provided by the teacher through the Aulaweb page. Therefore, all registered students, including working students, will access documents to prepare the exam. It is recommended to attend the lectures.
Y. Demirel – Energy: Production, Conversion, Storage, Conservation and Coupling – 2nd Edition, Springer, 2016.
S.L. Dixon – Fluid Mechanics and Thermodynamics of Turbomachinery – 4th Edition, Butterworth-Heinemann, 1998.
B. Miller – Fossil fuel emissions control technologies – Butterworth-Heinemann, 2015.
K. Senecal, F. Leach – Racing Toward Zero. The Untold Story of Driving Green. SAE International, 2021.

The course provides knowledge about the characteristics of maritime transport of goods and passengers, including the regulations established at a global level by the International Maritime Organisation (IMO). In particular, the course provides the fundamental notions regarding the elements of the maritime transport network: ports, sea routes, ships, and organizational and operational processes. Furthermore, the course introduces the research and innovation trends at a European and global level.

Introduction and basic concepts of maritime transport
Regulatory framework
Ports and port operations
Container terminals
Maritime routes and shipping
Ship types and services
Environmental footprint of maritime transport and net-zero ship

Oral exam.
Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

The oral examination is intended to evaluate the student knowledge about the topics addressed during the course, and her/his capabilities of discussing them.

J.P. Rodrigue, The Geography of Transport Systems 5th edition, Routledge, 2020.

The course aims to provide the basic elements of logistics and integrated inventory management techniques, as well as to develop and use logical-mathematical models for the analysis and planning of logistics systems (issues related to sustainability will be considered within the proposed methods and applications). This objective allows students to acquire methodological and practical knowledge (also through the use of software tools) to model and manage logistics systems.

The module aims at providing the basic elements of logistics and integrated inventory management techniques as well as to develop and use logical-mathematical models for the analysis, and the optimal planning and management of logistics systems. Software tools will be used to solve problems related to facility location, inventory management, and supply chain.

The exam is only oral. It includes a discussion of the reports of the computer exercises. Besides, specific questions about the various topics treated in the lectures will be proposed to the students. Moreover, students should be able to define decision variables, parameters, objective function and constraints, with specific reference to the decision problems present in the training material (lecture notes, slides) and presented during lectures.
Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities

The assessment is based on the evaluation of the capability of the student to solve and formalize new problems and to use the methods and tools presented during the lectures and the computer exercises.

Ghiani, Laporte, Musmanno-Introduction to logistics systems planning and control-Wiley 2004
Lecture notes and slides provided by the Professor
Specific guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The objective of the course is to provide students with knowledge of mathematical models that can be used to represent the functioning of transport and logistics systems. This objective is pursued through two teaching modules: Traffic Flow Theory and Methods and Models for Logistics. The first module aims to provide students with a general understanding of the physical phenomena that govern traffic flows in transport systems, as well as the mathematical models used to represent these phenomena. The second module aims to provide the basic elements of logistics and integrated inventory management techniques, as well as to develop and use logical-mathematical models for the analysis and planning of logistics systems.

The course Models for Transport and Logistics introduces a set of important mathematical models that can be used to analyse the functioning of vehicular traffic systems and logistic networks. The considered traffic flow models represent vehicle dynamics at various levels of detail and allow for the analysis of the performance of a traffic network. The models for logistic networks address a range of problems (such as facility location, routing, and inventory management) which can be applied to the planning and management of the entire supply chain.

The examination for the course Models for Transport and Logistics consists of the assessments required for the modules Traffic Flow Theory and Methods and Models for Logistics. The final grade is the average of the marks obtained in the two modules.

The student's assessment is based on the evaluations of the two modules that constitute the course, Traffic Flow Theory and Methods and Models for Logistics. Students are therefore expected to demonstrate an understanding of the material presented during the lessons of both modules and to have acquired a solid knowledge of the topics covered in each.

Operations Research (OR) consists in a set of mathematical models and methods for solving decision problems in a very wide number of application sectors. The purpose of this module is to provide the students with competences in using a set of models for problem solving. In particular, the module mainly considers optimization problems faced by mathematical programming techniques and problems on graph and networks.

Operations Research (OR) consists in a set of mathematical models and methods for solving decision problems in a very wide number of application sectors. The purpose of this course is to provide the students with competences in using a set of models for problem solving. In particular, the course mainly considers optimization problems faced by mathematical programming techniques and problems on graph and networks.

Written exam text.

Written examination, potentially including:

• Exercises requiring the application of algorithms to the problem classes presented in the course * Short theoretical questions * Formulation of simple combinatorial decision-making problems
  Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

Frederick S Hillier, Gerald J Lieberman, Introduction to Operations Research, 9/e, McGraw-Hill Higher Education, 2010, ISBN: 0073376299
Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

The objective of the course is to provide students with a set of fundamental skills to design and implement control systems and optimization models, with particular reference to transport and logistics systems. This objective is pursued through two teaching modules: Operations Research and Control of Traffic Systems. The first module aims to provide students with knowledge of a set of models and methods of Operations Research that will enable them to deal with the analysis and resolution of decision-making problems. The second module aims to provide students with basic and advanced skills on the properties and control of dynamic systems, with a focus on the control of traffic systems.

The "Operations Research and Control Methods" course introduces the fundamentals of modelling, analysing, and solving decision-making problems using mathematical optimisation and control theory. It covers topics such as linear and integer programming, graph theory, dynamical systems analysis and model predictive control. A significant focus is placed on optimisation and control methods and their application in real-world systems. Students will explore dynamic systems through examples in the context of traffic systems. The course blends theory and practice to develop analytical and problem-solving skills.

The written examination will focus on exercises related to the topics covered, e.g. formalising an optimisation problem or determining the properties of dynamical systems that are the subject of the course. While the oral examination is also designed to test the student's critical and analytical skills.

After the successful completion of this course, the students will be able to: - Knowledge LO.I Demonstrate a critical awareness of discipline-based concepts and approaches to understanding the complexity of managing an organization. Acquire a deep understanding of the phenomenon of change. For example, describing and analyzing the reception of change management by employees at individual, group, and organizational levels while discerning and analyzing resistance and defense against change at individual, group, and organizational levels LO.II Demonstrate an understanding of how the acquired theoretical knowledge can be applied in practical business situations. Learn the various frameworks and practices associated with effective change management. Cognitive skills LO.III Demonstrate the ability to acquire and analyze data and information, evaluate their relevance and validity, and synthesize various information sources needed to develop a sophisticated understanding of a rapidly changing business context.

The cluster provides interdisciplinary training on the organizational, managerial, marketing and quantitative tools needed to address the challenges of the energy and environmental transition.
The cluster integrates 3 perspectives: on organizational design and change management, with particular attention to the transformation processes required by sustainability and green transition; on sustainable marketing, responsible consumers, green marketing and the application of operational marketing tools in energy and environmental contexts; on quantitative decision support methods, optimization, scenario analysis, uncertainty management, graphs, network optimization and project management.
The cluster (blended-learning model) combines asynchronous video lectures, in-person sessions, tutor-supported interactive teaching and e-tivities. This allows students to acquire theoretical knowledge flexibly and consolidate it through applications, case discussions, and individual and/or group activities.

Assessment is organized at module level, according to the specific methods defined by the instructors and communicated at the beginning of the teaching activities.
Exams may include:
written tests;
open-ended questions and/or applied exercises;
case-study analysis;
individual or group project work;
presentations;
assessment of e-tivities or activities carried out during the course.
Successful completion of the cluster requires passing the assessment activities of the six constituent modules.
At the end of the cluster, an integrated cluster project work must be finalized included. This activity is aimed at critically connecting the project works developed within the individual modules. Its purpose is to foster the integration of organizational, marketing and quantitative perspectives, encouraging students to reflect on the links between organizational change, sustainable marketing strategies and decision support methods in the context of energy and environmental transition.
The cluster project work will be discussed through an in-person presentation according to the modalities communicated by the instructors.

Assessment aims to evaluate:
knowledge of theoretical and methodological concepts related to organization, marketing and decision methods;
ability to apply models and tools to real problems in the energy and environmental sectors;
ability to analyse business cases, change processes, marketing strategies and decision problems;
ability to use quantitative methods, indicators, scenarios and network models;
ability to critically interpret results;
ability to communicate clearly, coherently and convincingly;
ability to work individually and in teams;
ability to integrate different perspectives to support sustainable decision-making.
The assessment of e-tivities and interactive activities may contribute to the final evaluation according to the specific rules defined by the instructors of each module.

For students who prefer the guidance of a textbook, we recommend the following “course companion” textbooks:
Organizational Behavior Managing People and Organizations
Ricky W. Griffin, Jean M. Philips and Stanley M. Gully (Authors)
Imprint: South-Western Pub Date: 2016 or later Edition: International Edition 12th Edition
Publisher: Cengage Learning, Inc Published in: United States
This book can support the attending students, while it is mandatory for non-attending students, and the chapters to be studied are listed in the detailed schedule presented at the end of the syllabus. It can be useful because it incorporates most of the topics discussed in the course andplaces them into coherent intellectual contexts (in particular: Individual differences, motivation, groups, culture, Teams and Leadership, Organizational Design, and Organizational Change). Note, however, that for attending students, this book is not a replacement for the assignedlecture notes and slides, as they may follow a different organization: some issues that we cover in-depth in the course in class receive only brieftreatment in the book, and vice versa.
2. Leading change
John P. Kotter (Authors)
Pub Date: 2012
Publisher: Harvard Business Review Press Published in: United States
This book and Lewin’s framework will be the base of our processual view on change. We will move from using our tools for diagnosis (understanding why and what) to how to implement changes and make them stick. For non-attending students, the entire book is mandatory for the exam.

LO.IV Demonstrate skills in interdisciplinary analysis, drawing upon different empirical sources, analytical perspectives, and sub-disciplines within management studies. Professional skills LO.V Communicate effectively and convincingly on a factual supported basis, both orally and in writing. Practice developing an effective change plan in a supportive and collaborative work environment. LO.VI Develop awareness regarding your personal capacity to handle change. Have skills in time management and planning work assignments. LO.VII Demonstrate an ability to work effectively in teams.

The cluster provides interdisciplinary training on the organizational, managerial, marketing and quantitative tools needed to address the challenges of the energy and environmental transition.
The cluster integrates 3 perspectives: on organizational design and change management, with particular attention to the transformation processes required by sustainability and green transition; on sustainable marketing, responsible consumers, green marketing and the application of operational marketing tools in energy and environmental contexts; on quantitative decision support methods, optimization, scenario analysis, uncertainty management, graphs, network optimization and project management.
The cluster (blended-learning model) combines asynchronous video lectures, in-person sessions, tutor-supported interactive teaching and e-tivities. This allows students to acquire theoretical knowledge flexibly and consolidate it through applications, case discussions, and individual and/or group activities.

Assessment is organized at module level, according to the specific methods defined by the instructors and communicated at the beginning of the teaching activities.
Exams may include:
written tests;
open-ended questions and/or applied exercises;
case-study analysis;
individual or group project work;
presentations;
assessment of e-tivities or activities carried out during the course.
Successful completion of the cluster requires passing the assessment activities of the six constituent modules.
At the end of the cluster, an integrated cluster project work must be finalized included. This activity is aimed at critically connecting the project works developed within the individual modules. Its purpose is to foster the integration of organizational, marketing and quantitative perspectives, encouraging students to reflect on the links between organizational change, sustainable marketing strategies and decision support methods in the context of energy and environmental transition.
The cluster project work will be discussed through an in-person presentation according to the modalities communicated by the instructors.

Assessment aims to evaluate:
knowledge of theoretical and methodological concepts related to organization, marketing and decision methods;
ability to apply models and tools to real problems in the energy and environmental sectors;
ability to analyse business cases, change processes, marketing strategies and decision problems;
ability to use quantitative methods, indicators, scenarios and network models;
ability to critically interpret results;
ability to communicate clearly, coherently and convincingly;
ability to work individually and in teams;
ability to integrate different perspectives to support sustainable decision-making.
The assessment of e-tivities and interactive activities may contribute to the final evaluation according to the specific rules defined by the instructors of each module.

For students who prefer the guidance of a textbook, we recommend the following “course companion” textbooks:
Organizational Behavior Managing People and Organizations
Ricky W. Griffin, Jean M. Philips and Stanley M. Gully (Authors)
Imprint: South-Western Pub Date: 2016 or later Edition: International Edition 12th Edition
Publisher: Cengage Learning, Inc Published in: United States
This book can support the attending students, while it is mandatory for non-attending students, and the chapters to be studied are listed in the detailed schedule presented at the end of the syllabus. It can be useful because it incorporates most of the topics discussed in the course andplaces them into coherent intellectual contexts (in particular: Individual differences, motivation, groups, culture, Teams and Leadership, Organizational Design, and Organizational Change). Note, however, that for attending students, this book is not a replacement for the assignedlecture notes and slides, as they may follow a different organization: some issues that we cover in-depth in the course in class receive only brieftreatment in the book, and vice versa.
2. Leading change
John P. Kotter (Authors)
Pub Date: 2012
Publisher: Harvard Business Review Press Published in: United States
This book and Lewin’s framework will be the base of our processual view on change. We will move from using our tools for diagnosis (understanding why and what) to how to implement changes and make them stick. For non-attending students, the entire book is mandatory for the exam.

The course aims to provide students with the necessary IT tools to collect, store, manage, and analyze data to be used in the context of transport and logistics systems, with particular emphasis on the development of methodologies to make such systems more efficient, sustainable, and safe. This objective will be achieved by offering basic technological and methodological tools for writing simple scripts and using an information system. In particular, the course will address aspects related to the automation of data management and data warehousing systems, with a specific focus on scripting techniques and methods for querying structured text files and databases.

The course aims at learning how to access, model, and manipulate (textual) data by providing concepts of object-oriented programming (Python scripts) and an introduction to data interchange files and databases.
The course includes frontal teaching activities alongside practical lecutures with the aim of consolidating the topics seen in class.
The course has a strong applicative connotation, then students are encouraged to tackle problems of increasing complexity independently.

The exam is composed of two parts.
A quiz part (10 questions -multiple choices- in 20 minutes) will test the database and SQL knowledge of the students, 1 point for each correct answer will be assigned (no penalty for wrong answers is foreseen).
A lab project (2 hours) where students should demonstrate their ability to access data from CSV files, manipulate file content to extract some information, and save the results.
Both the parts are delivered on AulaWeb.
Both parts should be sufficient to pass the exam (6 right answers for the quiz and a grade of 18 for the lab). The final grade is given by the weighted average of the two parts (30% the quiz and 70% the lab).
Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

The quiz aims to test the knowledge for accessing information in relational databases and the comprehension of SQL queries; while the lab project tests the acquired scripting knowledge.

All the slides and additional exercise material used during the lectures will be available on AulaWeb.
In general, the notes taken during the lectures and the material on AulaWeb are sufficient to prepare for the exam.

The objective of the course is to provide students with knowledge of two specific modes of transport that play a fundamental role in the mobility of people and goods: rail transport and maritime transport. These two modes are the focus of the two teaching modules, Rail Transport and Maritime Transport, through which the intended learning outcomes are pursued. The first module aims to provide basic knowledge on rail transport systems, both from a technical and functional point of view, framing them in both the European and global context. The second module aims to provide knowledge about the characteristics of maritime transport of goods and passengers, including the regulations established at a global level by the International Maritime Organisation (IMO).

Introduction and basic concepts of maritime transport
Regulatory framework
Ports and port operations
Container terminals
Maritime routes and shipping
Ship types and services
Environmental footprint of maritime transport and net-zero ship

Oral exam.
Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

The oral examination is intended to evaluate the student knowledge about the topics addressed during the course, and her/his capabilities of discussing them.

J.P. Rodrigue, The Geography of Transport Systems 5th edition, Routledge, 2020.

The course provides basic knowledge on rail transport systems, both from a technical and functional point of view, framing them in both the European and global context. In particular, the course deals with the components of a rail transport network: infrastructures, lines, stations, rolling stock, signalling, and functional and operational processes. Particular attention is paid to the evolution induced in rail transport by the progressive introduction of aspects of digitalisation and automation.

The course describes the main aspects related to the rail transport with a particular attention to the practical applications and operational issues of the sector. The major trends of development and technological innovation are analyzed as well as the main research topics according to the vision of the main rail stakeholders at European level.

Oral exam.
Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

The oral examination is intended to evaluate the student knowledge about the topics addressed during the course, and her/his capabilities of discussing them.

C. Pyrgidis, Railway Transportation Systems, 2nd edition. Routledge, 2022
S. Blainey, J. Preston, Sustainable railway engineering and operations. Emerald Publishing, 2022

The goal of the course consists of providing the basic knowledge about methodologies and technologies for safety in transport systems and networks, and the methodological tools for assessing reliability. At the end of the course, the student will be able to discuss safety/security and reliability principles and standards and to apply methods and models for the assessment of safety and reliability in the context of transport systems and networks.

The course describes the main aspects regarding the safety and security of transport systems and networks, providing the methodological tools to assess their reliability.

The exam consists of an oral test.

The student's assessment is carried out through an oral test in which the student is asked to illustrate the theoretical topics of the course. The student must demonstrate that he/she has acquired a sufficient knowledge of the topics illustrated in class and that he/she is able tto define and discuss simple problems in the modeling and analysis of transport systems from the safety and security point of view.

The teaching materials are provided by the professor on AulaWeb.
Specific guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The course aims to provide students with the theoretical foundations and practical skills required to design and develop simulation models of transport and logistics systems. These models can be used to analyze the performance of existing systems, plan solutions to improve efficiency and safety in transport and logistics systems, compare alternative scenarios, and assess the impact of both planned and unexpected events. This objective is mainly pursued through practical lessons, during which students will use macroscopic, microscopic, and discrete-event simulation softwares to develop models of selected transport and logistics systems.

The course SIMULATION OF TRANSPORT AND LOGISTIC SYSTEMS provides specialized skills for the design, analysis, and optimization of transport and logistic systems. The course is strongly practice-oriented and includes numerous lectures where simulation software is used to develop traffic models, both for passenger and freight flows, including real-world contexts and existing applications. Specific topics will also be addressed during the lectures, such as traffic signal control, selected issues related to port logistics, and the use of innovative technologies in transport and logistic systems.

The exam consists of a practical assignment (project) followed by an oral discussion.

Students are required to carry out a project consisting of the development of a simulation model (using one of the software programs adopted during the course), the definition of input data, and the analysis of output results. During the oral discussion, students must present the developed model, explain the choices made regarding the input data, and discuss the analysis of the results obtained from the simulation. During the discussion, students may also be asked to make modifications to the model.

Lecture slides and documents provided by the instructors.
Further guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The course is intended to develop students’ transversal competencies that are essential in both academic and professional environments. Core focus areas include effective communication, teamwork, problem solving, and time management. The objective is to strengthen students’ ability to operate efficiently and adaptively within complex and dynamic professional contexts.

The course describes how soft skills influence the way we study and work, making it easier to achieve personal goals effectively. In detail also companies and organizations active in the transport and logistics sector, expect their employees to demonstrate these skills appropriately in order to achieve better results. Effective communication, teamwork, problem-solving and time management are among the key skills that will be addressed. Seminars held by experts from the industrial sector are organized to provide students with an overview of the local job market, and the required occupational profiles and skills.

The exam consists of the presentation of the group activity and an oral test.

The assessment methods consist of:
The evaluation of the written group assignments
The evaluation of student’s communication skills in presenting a specific topic
The evaluation of the student’s active participation in group activities.
The main evaluation criteria are the quality of the presentation, the correct use of the specialized terminology, the competence in critical analysis and problem solving acquired during the course.

The teaching materials are provided by the professor on AulaWeb.
Specific guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The course aims to make students understand the models for forecasting product demand, production planning, warehouse management and distribution of products between warehouses and distribution centers. Understanding these models allows students to acquire the theoretical and practical knowledge to plan, coordinate and manage efficient logistics systems that also guarantee a high level of customer service.

The course begins with a general introduction to the operating principles of supply chains and the main decision-making problems, also through teaching tools such as the Beer Game, used to highlight typical dynamics of distribution systems and the emergence of the bullwhip effect.
The phenomenon of demand variability and its effects on the supply chain is then explored in depth, with particular reference to the bullwhip effect and its underlying causes.
A central part of the course is devoted to demand forecasting, through quantitative models based on statistical and probabilistic approaches, including random utility models, time series methods (extrapolation, smoothing), and regression models.
The course then addresses the design and analysis of warehouse systems, with reference to storage capacity and handling capacity, and their impact on logistics performance.
Significant attention is devoted to inventory management, both under deterministic and stochastic conditions. The main inventory control models are analyzed, including Economic Order Quantity (EOQ), fixed-period policies, fixed-order quantity policies, and the (s,S) policy.
Distribution systems and the main configurations of distribution networks are then introduced, with reference to the management of flows from the producer to the end customer.
The course also includes an overview of ICT systems supporting logistics and supply chains, highlighting the role of information systems in process planning and control.
The main transport modes and the issues related to last-mile delivery are then analyzed, with particular attention to operational constraints and logistics costs.

Examination is based on an oral test, proposing two/three questions, selecting their subject among the unit topics.
Students with a certified learning disability (DSA), a disability, or other special educational needs are invited to contact the instructor at the beginning of the course to discuss teaching and examination arrangements that, while respecting the learning objectives of the course, take individual learning needs into account and provide appropriate accommodations. Please also note that requests for exam accommodations or exemptions must be submitted using the form available at this link https://modulionline.unige.it/richiesta-adattamenti#no-back , to the course professor, the DIME contact person ([email protected]), and the relevant office ( [email protected]) at least seven working days before the examination, in accordance with the guidelines available at this link https://unige.it/disabilita-dsa/richiesta-servizi

The following aspects will be assessed:
knowledge and understanding of the principles and models covered during the course;
ability to understand the assumptions, limitations, and fields of application of the main quantitative methods and tools used in Supply Chain Management;
ability to apply the models presented to quantitative and decision-making problems typically encountered in supply chain management;
ability to critically analyze the results obtained and compare alternative solutions based on economic and operational criteria;
ability to interpret logistics and production performance indicators (KPIs).

Detailed notes on the different topics discussed in lectures will be provided by the teacher through the Aulaweb page. Therefore, all registered students, including working students, will access documents to prepare the exam. It is recommended to attend the lectures.
Designing and Managing the Supply Chain, D. Simchi-Levi, P. Kaminsky, E. Simchi-Levi, McGraw-Hill.
Supply Chain Management: Strategy, Planning, and Operation, S. Chopra, P. Meindl, Pearson.
Logistics and Supply Chain Management, M. Christopher, Pearson.

The aim of the course is to provide knowledge regarding the management and maintenance of rail and road infrastructure with a particular reference to the application of innovative technologies and sustainability aspects. New trends such as automation and digitalisation are addressed focusing on users’ perspective and acceptability.

The course describes the main aspects regarding the characteristics and requirements of rail and road infrastructure. The application of innovative technologies and sustainability aspects is analyzed with reference to new trends such as automation and digitalization. A particular focus is dedicated to the maintenance of rail and road infrastructure.

The exam consists of the presentation of a group assignment and an oral test.

The assessment methods consist of:
The evaluation of the student capability to present a specific topic
The evaluation of the student capability to answer to theoretical questions on the course content
The main evaluation parameters are the quality of the presentation, the correct use of the specialized terminology, the competence of critical analysis acquired during the course.

The teaching materials are provided by the professor on AulaWeb.
Specific guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The objective of the course is to introduce the motivations and fundamental principles underlying sustainable urban mobility and to provide both theoretical and practical tools for the analysis and design of innovative solutions. This objective will be pursued by providing students with the knowledge to design and analyse public transport systems, electric mobility solutions, and pedestrian and bicycle mobility networks.

Urban mobility systems represent a specific class of transport systems, characterized by high levels of complexity, strong interactions between demand and supply, and significant impacts on environmental sustainability and quality of life in urban areas.
In this context, Sustainable Urban Mobility (SUM) provides the principles and methodologies to design and manage urban transport systems with a focus on efficiency, accessibility, and environmental sustainability, also promoting the adoption of innovative solutions.
The course addresses the fundamental components of sustainable urban mobility, including public transport systems, shared mobility, and pedestrian and bicycle networks, and introduces the main tools for their analysis and functional design.

The exam consists of a written and an oral part.

Within the examination, the student's knowledge of the course topics and his/her capability to discuss how to formalize and solve simple transport problems are assessed.

The study materials will be provided by the lecturers and will be made available on AulaWeb.
Further guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.
Insights:
Hensher, D. A., Mulley, C., & Ho, C. (2020). Understanding Mobility as a Service (MaaS): Past, Present and Future. Yale University Press.
Cornet, H., & Gkemou, M. (2025). Shared Mobility Revolution: Pioneering Autonomous Horizons. Springer.
Vuchic, V. R. (2007). Urban Transit Systems and Technology. Wiley.
National Academies of Sciences, Engineering, and Medicine. (2026). Transit Capacity and Quality of Service Manual (4th ed.). Transportation Research Board.
Ceder, A. (2016). Public Transit Planning and Operation: Modeling, Practice and Behavior (2nd ed.). CRC Press.
Daganzo, C. F., & Ouyang, Y. (2019). Public Transportation Systems: Principles of System Design, Operations Planning and Real-Time Control. World Scientific.

The course aims at providing the basics of radio communication principles and a functional description of latest generation radio mobile systems for supporting traffic in mobility with particular focus on their application in transport and logistics. Localization technologies are investigated and compared, both terrestrial and satellite based. Students will be trained to evaluate and compare different sensors technologies choosing what is most suited for their application within specific complex system in smart mobility, transport infrastructure monitoring and management. Students will also learn the convenience to mix standard solutions for short-range communication like Bluetooth, and NFC with non-standard technologies like RFID, Lora and Sigfox. Through practical examples students will be trained to evaluate the different performances of technologies in terms of data transfer rate, security, range, energy consumption and cost.

I principali contenuti del corso verteranno su: Introduzione alla Teoria dell'Informazione: definizione di Sorgente d'Informazione digitale, Entropia, Codificazione Introduzione alla rappresentazione e trasmissione digitale dei simboli Sorgente: dualità Tempo-Frequenza, modulazione della Portante, intervallo di simbolo, sensibilità al rumore Introduzione alla protezione del canale: Forward Error Correction (FEC), Automatic Repeat Request (ARQ), rumore additivo e bursty Introduzione ai segnali in radiofrequenza: attenuazione del percorso, ampiezza del fascio, attenuazione multi-percorso, attenuazione della pioggia, interferenza intersimbolica (ISI), copertura radio Standard 2G/3G/4G: accesso radio, velocità di traffico, autenticazione, Hand-over, performance Standard Bluetooth, RFID, NFC IoT nei trasporti: sensori per l'analisi dei flussi di traffico, per il rilevamento e la classificazione dei veicoli, per la sicurezza dei passeggeri, per la guida autonoma Analisi di casi di studio I contenuti dell'insegnamento forniranno agli studenti competenze utili al raggiungimento dei diversi obiettivi dell'Agenda 2030, in particolare le soluzioni di telecomunicazioni che verranno approfondite forniranno competenze nella progettazione di soluzioni smart per la gestione ottimizzata degli impianti produttivi riconducibili all'Obiettivo 9 “Imprese Innovazione infrastrutturale”, nonché l’attuazione di politiche efficaci per le Smart Cities riconducibili all’Obiettivo 11 “Città e comunità sostenibili”.

The course can be passed through a test at the end of the semester or in regular sessions after the semester conclusion, based on a written test optionally followed by an oral exam. The oral exam, optional to the choice of the student, can increase or decrease the mark of the written test of up to 3 points.
The written test will consist preferably of a list of questions with multiple choice with or without a request of a short motivation of the answer. Each correct answer will provide positive contribution to the final mark, incorrect answers will give negative contribution, not answered answer will not contribute to the mark.

Learning will be assessed by verifying the correct understanding of the physical mechanisms at the basis of radio communciation, a clear view of the communication protocols supporting digital wireless networks, management of traffic resources, data compression and protection, user authentication, main performances of different technologies.
Verification will be based on a questionnaire either consisting of multiple choice questions or yes/no answer followed by text explanation.
Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

Notes and slides will cover entirely the contents and will be made available to students at conclusion of every explained argument on the Teams channel or through dowload from AULAWEB.
Further guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The course aims to provide a wide and updated knowledge and, even if synthetic, of the types of plans and their relationship with other planning tools in light of current choices and of guidelines of the (international and national) legislation and of trends. Particular attention will be given to the topic of sustainable mobility systems, from an environmental, social and economic point of view in order to develop knowledge for correct governance.

Knowledge and application of the various planning tools (plans, programs, policies) of their interaction and application in an international context, with reference to the main institutional procedures

The exam is constituted by an oral test.
Basically, it consists of two parts:

• the first: the exposition of the topics illustrated during the lessons
• the second: the presentation and subsequent discussion of the results acquired on a chosen topic, that is considered as an integral part of the oral test.
  There will be 3 exam sessions for the summer session (June, July and September) and the witner one (mid-January-February-March). Potential sessions will be shared during the teaching breaks.

The assessment will be carried out through an oral test, in which the overall subject knowledge and the group work carried out during the course will be evaluated.
The oral exam will mainly focus on the topics dealt with in the lectures and will have the purpose of evaluating not only if the student has reached an adequate level of knowledge, but if he has acquired the ability to critically analyze territorial problems.

Tira M., Van der Krabben E., Zanon B., Land Management for Urban Dynamics, Maggioli, 2011
Parker G., Street E., Contemporary Planning Practice, Macmillan International, London, 2021
Lehmann S., Low Carbon Cities. Transforming Urban Systems, Routledge, 2015
Dalheim H., Planning Better Cities. A Practical Guide. Plagrave MCMillan, https://doi.org/10.1007/978-3-031-33947-9, 2023
Rydin Y., Theory in Planning Research, Plagrave MCMillan, https://doi.org/10.1007/978-981-33-6568-1, 2021
Minor sources are indicated within the teaching materials made available.

The course aims to provide students with a general understanding of the physical phenomena that govern traffic flows in transport systems, as well as the mathematical models used to represent these phenomena. This objective allows students to acquire both theoretical and practical knowledge to represent traffic dynamics in transport networks using appropriate models (macroscopic, mesoscopic, microscopic, queue-based). More generally, the course aims to develop competencies in the planning and management of the mobility of people and goods through knowledge of the fundamental elements of transport and logistics systems.

Traffic flow characteristics and fundamental diagrams
Capacity analysis and level-of-service
Queuing models and analysis
Macroscopic traffic models
Microscopic traffic models

The exam consists of an oral test.

The student's assessment is carried out through an oral test during which the student is asked to present and explain the theoretical topics covered in the course (either on the blackboard or on paper) and, where appropriate, to solve some practical examples or exercises. The student is expected to demonstrate an adequate level of understanding and knowledge of the material presented during lessons, as well as the ability to solve basic traffic analysis problems using the models introduced in the course.

The main bibliographic reference is the following book:
Ennio Cascetta, “TRANSPORTATION SYSTEMS ANALYSIS - Models and Applications (Second Edition)”, Springer Optimization and Its Applications series, vol. 29, Springer, 2009.
Further guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.

The course provides key competences for performing economic appraisal and planning in the mobility, logistics, and transport sectors. Moreover, local economic impacts and performance indicators will be presented and discussed so to provide key tools for performing assessment and evaluations, linking social science issues to engineering competences. In order to achieve its aim, the course provides knowledge of specific features related to different transport modes, competition elements, and industrial organization features within the markets where the different private and public bodies operate.

In line with the overall training objectives, the module will be organized as follows:
PART 1: Principle of economics, organization of transport markets and levels for competitiveness
PART 2: Bascis on the evaluation of transport economic behavior, cost structure, demand and supply; Pricing approaches.
PART 3: Competition in/for the market. Economic regulation, externalities, competition
PART 4: The problem of measurement, KPI and monitoring
PART 5: Innovation, technology, regulation and their market effects
PART 6: Socio-economic impact assessment and the role of transport in the local economy
PART 7: Transport modes, and the growing role of intermodality
Each part of the teaching is imagined to be aimed at transferring specific skills, in line with the module objectives to be achieved. The approach will be base on prioritizing theoretical knowledge at first and subsequently analyze specific use cases and challenges in the real world of transport.

Oral and written exam, according to the instructions agreed and discussed in class.
For non-attending students, please contact the module leader.

The exam is divided in two parts:
1) Questions during the oral exam will aim at verifying theoretical knowledge.
2) A written report will be asked to verify the ability to analyze and the acquisition of practical skills.

Specific readings and textbooks will be presented and discussed in class.
In case of impossibility to attend, please contact the module leader.

The objective of the course is to provide students with knowledge of regulatory, social, and economic aspects related to transport and logistics engineering, with particular attention to issues of safety and sustainability. This objective is pursued through two teaching modules: Transport Economics and Organisational Design and Change Issues in Energy Business and Environmental Transition. The first module aims to provide key competences for performing economic appraisal and planning in the mobility, logistics, and transport sectors, linking social science issues to engineering competences. The second module aims to provide cognitive and interpretative tools to address organizational design and organizational change issues, with a focus on identifying the most suitable structures for each organization in the different contexts in which it operates.

The course is composed of two components:

• Transport Economics which aims to provide specific skills related to the understanding of yhr competitive levers of the transport market, and providing analytical tools for the related evaluations
• Organisational design and change issues in energy business and environmental transition which aims to provide knowledge on the organisation of economic institutions.

The aim of the course is to provide the tools and capabilities for analysing and designing transport systems across different geographic and temporal scales. Specifically, the first part of the course focuses on the analysis phase and provides the student with the skills to define models of transport infrastructures and services, articulate models of mobility demand, and state and solve assignment problems. The second part of the course focuses on the design phase and provides the student with the skills to collect and use field data for customizing, calibrating, and enhancing supply and demand models. Therefore, in the second part, the aim is to provide the students with the capability to state and solve transport systems design problems and define and compare different alternatives both in terms of performance and costs.

Transport systems are the set of components and their interactions that determine the demand for mobility of people and goods between different points in the territory and the supply of transport services to satisfy it.
In this framework, Transport Systems Planning (in short TSP) is the engineering discipline that provides the methodologies to model, analyze, and design transport systems with a holistic approach and by means of appropriate mathematical and modelling tools.
The problems faced by TSP range from the mathematical formalization and implementation of models for understanding users' mobility choices to the design of performing solutions.

The exam consists of a written part and an oral part.
During the lecture period, some exercises will be assigned and must be completed within two weeks. These exercises will contribute to the final grade and may be discussed during the oral exam.

Within the examination, the student's knowledge of the course topics and his/her capability to discuss how to formalize and solve simple transport problems are assessed.

The course materials will be provided by the teacher and will be made available on the course's AulaWeb page. All the material is prepared according to the main reference book.
Further guidance regarding the reference bibliography and any materials available to specific categories of students (working students, non-attending students, and students with certified learning disorders, disabilities, or other special educational needs) will be provided by the professor at the beginning of the course.
Main reference book:
E. Cascetta, 2009, Transportation Systems Analysis 2nd ed., Springer (English)
E. Cascetta, 2002, Modelli per i Sistemi di Trasporto: Teoria ed Applicazioni, UTET, 2006 (Italian)
Insights:
S. M. Ross, Introduction to Probability and statistics for engineers and scientists, Elsevier, 2004 (English)
S. M. Ross, Probabilità e Statistica per Ingegneria e le Scienze, APOGEO, 2008 (Italian)
F. S. Hillier, Introduction to Operation Research, McGraw-Hill Education, 2016 (English)
S. Martello, Ricerca Operativa, ESCULAPIO, 2015 (Italian)
Highway Capacity Manual, Transportation Research Board (TRB), 6th ed., 2016