Management Engineering | Course catalogue

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Curriculum(s) for 2024 - Management Engineering (29936)

Gestione delle organizzazioni (percorso formativo valido anche ai fini del conseguimento del doppio titolo italo-francese)

1st year

Lesson	Semester	CFU	Language
10600199 \| Industrial Organization	1st	12	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
1022657 \| MANAGMENT OF INDUSTRIAL PLANTS	1st	9	ITA
Educational objectives OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management. EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.
1017412 \| Service systems and simulations	1st	6	ITA
Educational objectives The course aims at illustrating the analytical foundations of the study of the Queueing systems, which are structures characterized by random arrival of clients who request a service to be performed by a server. The purpose is to evaluate some fundamental Key Performance Indicators in order to efficiently design the system. The course also aims at providing the basic tools for building and using discrete event simulation models. Discrete event simulation techniques are introduced as a tool to reproduce real processes - already existing or to be designed - through appropriate models, in order to study the effects of possible interventions, in the first case, or to evaluate different design and/or strategic choices in the second case. Knowledge and understanding: Queueing systems models and their main Key Performance Indicators. Building and validating discrete event simulation models. Designing of experiments and executing of simulation runs. Applying knowledge and understanding: To be able to build and to solve queueing models. To be able to design, to execute and to assess the output of a discrete event simulation. Making judgements: To be able to recognize real problems which can be modelled as queueing systems. Knowing how to identify the characteristic elements of a real process for the construction of a simulation model. Knowing how to analyze the output of a discrete event simulation. Communication skills: Course lectures and exercises should provide the student with communication and sharing skill concerning the modelling by means of queueing systems and discrete event simulation models of real problems. Learning skills: In addition to the classic learning skills provided by the theoretical study of the teaching material, the course, in particular the exercises, will stimulate the student to deepen his knowledge of some topics, to team working, and to the concrete application of the concepts and techniques learned in the course.
Elective course	1st	12	ITA
Educational objectives Among other training activities are provided 12 credits are chosen by the student.
10600452 \| Integer Programming and Combinatorial Optimization	2nd	12	ITA
Educational objectives On successful completion of this course, the student should be able to: Recognize the basic features of a combinatorial optimization problem with linear objective function belonging to the wide class of Maximum Weight Independent Set Problems (MWIS) (matching, stable-set, knapsack, spanning forests, spanning connected graph etc.); Construct effective linear formulations (polyhedra) for MWIS problems (Rank Formulation, Circuit Formulation) and compute effective bounds with the Dynamic Simplex Algorithm to be used in the framework of Branch&Bound algorithm; Recognize an Independent System which is a Matroid and prove that the well known "greedy algorithm" always find an optimal solution for the MWIS problem if the Independence System is a Matroid. Compute heuristic solution with guaranteed approximation by means of a Primal-Dual Approximation Algorithm proposed by Goemans and Williamson; Compute effective bounds with the Lagrangean Relaxation Method and compute the Lagrangean Dual solution with the "cutting plane method" and the "subgradient method"; Solve applied problems by making a combined use of the tools described above (bounds, approximate solutions, linear formulations etc.). Among them: designing the optimal crew-scheduling in airlines; designing a path of minimum cost with "transit time" constraint etc. Have a complete understanding of a a real life problem solvable with the above tools. This year: Design of an Optimal Network by means of a "Branch&Cut" algorithm based on the SemiMetric Formulation of the Network Loading Problem;
1035284 \| MODELING AND IDENTIFICATION	2nd	9	ITA
Educational objectives • The course aims to provide the student with basic and advanced statistical tools for the evaluation of performance and decision-making regarding the processes of production of goods and provision of services in the Economic-Management area. • The performance evaluation of a production / delivery system is based on the statistical analysis of the experimental data concerning the variables that define the characteristics of the product item (be it an object or a service) and the process variables from which they depend (explanatory variables). On the basis of this evaluation it is possible to decide whether the quality specifications are respected and possibly to compare the effects produced by possible intervention strategies aimed at improving them. The specific objectives concern: A) Knowledge and understanding: based on the notions of statistics acquired in the previous cycle of studies, define synthetic quality indicators of products / services, their estimation and validation from experimental data, in the articulated real situations that often do not totally fall into the teaching plans referred to by standard methods; B) Applying knowledge and understanding and C) autonomy of judgment: formulating and validating hypotheses on the aforementioned indicators that assure the adequacy of interventions or policies adopted in production / delivery processes aimed at improving their quality; the definition and identification of models that appropriately describe the relationships between the quantities of interest that influence the product of a process; the definition of dynamic models that describe the temporal evolution of the data for the prediction of the time series. D) Communication skills: the student will learn how to present and discuss the results of the analysis in a manner consonant with the interlocutor, so that the results can be easily understood and shared. E) Learning skills: a large collection of case studies to be discussed with the teacher during weekly receptions allows the student to develop autonomous capacity for analysis and solution of various problems related to the various aspects of management.
1017666 \| BUSINESS INFORMATION SYSTEMS	2nd	6	ITA
Educational objectives - To address the methodological principles underlying many phases of the life cycle of information systems, with reference not only to technological aspects, but also and above all to those that require attention to the organizational and economic context - Enrich students' cultural heritage through a series of monographic or seminar contributions
THREE-DIMENSIONAL MODELING

2nd year

Lesson	Semester	CFU	Language
1017665 \| MANAGEMENT CONTROL SYSTEMS	1st	6	ITA
Educational objectives The course is designed to provide students the methodologies to apply to management control systems. The focus is on management and criteria for judging strategies and actions. The conceptual framework for the course is Balanced Scorecard. The course is designed to allow students to gain knowledge related to how managers design, implement and use Balanced Scorecard(BSC).Risultati di apprendimento attesi (Inglese): After completing this course student will be able to:a) understand management control systemsb) solve control design problemsc) analyze and discuss BSC design
1038261 \| Purchasing management	2nd	6	ITA
Educational objectives This course aims at addressing important strategic aspects and operational implications in the purchasing management. To this purpose, the course presents purchasing strategies of item categories, purchasing portfolio matrices and spending analysis of organizations. Then, the course describes the steps of the procurement process and examines in-depth the operational aspects of the keys underlying activities. After completing this course, the student will master some methodological tools that will enable him to elaborate an appropriate purchasing strategy of a specific item category, to assess and select reliable and efficient providers, and to obtain terms and conditions that are responsive to the buyer firm needs.
10589751 \| PROJECT MANAGEMENT	2nd	9	ITA
Educational objectives GENERAL OBJECTIVES The course clarifies and transfers to students the founding principles, the scope and the fundamental tools and methodologies of Project Management (PM). Starting from the concept of integrated management of projects, all the main methods for managing the performance variables of quality, time and cost will be proposed. In line with the main standard processes of Project Management, the internationally standardized Project Management terminology will be used. At the end of the course the student will be able to plan a project starting from the objectives of quality, time and cost defined by internal or external customers of a company. She/he will also be able to critically analyze an ongoing or closed project proposing both organizational and managerial improvements and both the use of correct Project Management methodologies. SPECIFIC OBJECTIVES KNOWLEDGE AND UNDERSTANDING. The course will allow an in-depth comprehension of the fundamental concepts and tools of Project Management in the main application contexts: new product/service development, business process reengineering and management of engineering-to-order jobs . The students will learn to recognize and to master the best practices of Project Management and to apply them in real contexts. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Through this course students will be able to plan a project starting from the objectives of quality, time and cost requested by the internal or external client, to manage the project execution phase through a proper monitoring of the activities, and to assess project benefits in line with the expectations of the main stakeholders. They will also be able to critically analyze a project in progress or finished proposing both organizational and management improvements and the use of correct Project Management methodologies. MAKING AUTONOMOUS JUDGEMENTS. After the course, students will be able to choose, for a given project, the best methodology through a deep understanding of the requirements and constraints of the business context; moreover they will develop the ability to critically analyze a project. COMMUNICATE SKILLS. At the end of the course the students will be able to illustrate the concepts of Project Management using the standard international terminology, to organize information and project data according to a format and a standardized reporting process comprehensible to professionals, and to present in depth all the aspects of a project to an audience of specialists and non-specialists. LEARNING SKILLS. The student will develop the capability to autonomously study, the capability of teamworking and the critical understanding and evaluation of projects and of different Project Management methodologies.
AAF1016 \| Final exam	2nd	18	ITA
Educational objectives The student will present and discuss the results of a technical activity, producing a written thesis supervised by a professor and showing the ability to master Management Engineering methodologies.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

Gestione dei sistemi produttivi e logistici (percorso formativo valido anche ai fini del conseguimento del doppio titolo italo-francese)

1st year

Lesson	Semester	CFU	Language
10600199 \| Industrial Organization	1st	12	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
1022657 \| MANAGMENT OF INDUSTRIAL PLANTS	1st	9	ITA
Educational objectives OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management. EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.
1017412 \| Service systems and simulations	1st	6	ITA
Educational objectives The course aims at illustrating the analytical foundations of the study of the Queueing systems, which are structures characterized by random arrival of clients who request a service to be performed by a server. The purpose is to evaluate some fundamental Key Performance Indicators in order to efficiently design the system. The course also aims at providing the basic tools for building and using discrete event simulation models. Discrete event simulation techniques are introduced as a tool to reproduce real processes - already existing or to be designed - through appropriate models, in order to study the effects of possible interventions, in the first case, or to evaluate different design and/or strategic choices in the second case. Knowledge and understanding: Queueing systems models and their main Key Performance Indicators. Building and validating discrete event simulation models. Designing of experiments and executing of simulation runs. Applying knowledge and understanding: To be able to build and to solve queueing models. To be able to design, to execute and to assess the output of a discrete event simulation. Making judgements: To be able to recognize real problems which can be modelled as queueing systems. Knowing how to identify the characteristic elements of a real process for the construction of a simulation model. Knowing how to analyze the output of a discrete event simulation. Communication skills: Course lectures and exercises should provide the student with communication and sharing skill concerning the modelling by means of queueing systems and discrete event simulation models of real problems. Learning skills: In addition to the classic learning skills provided by the theoretical study of the teaching material, the course, in particular the exercises, will stimulate the student to deepen his knowledge of some topics, to team working, and to the concrete application of the concepts and techniques learned in the course.
Elective course	1st	12	ITA
Educational objectives Among other training activities are provided 12 credits are chosen by the student.
10600452 \| Integer Programming and Combinatorial Optimization	2nd	12	ITA
Educational objectives On successful completion of this course, the student should be able to: Recognize the basic features of a combinatorial optimization problem with linear objective function belonging to the wide class of Maximum Weight Independent Set Problems (MWIS) (matching, stable-set, knapsack, spanning forests, spanning connected graph etc.); Construct effective linear formulations (polyhedra) for MWIS problems (Rank Formulation, Circuit Formulation) and compute effective bounds with the Dynamic Simplex Algorithm to be used in the framework of Branch&Bound algorithm; Recognize an Independent System which is a Matroid and prove that the well known "greedy algorithm" always find an optimal solution for the MWIS problem if the Independence System is a Matroid. Compute heuristic solution with guaranteed approximation by means of a Primal-Dual Approximation Algorithm proposed by Goemans and Williamson; Compute effective bounds with the Lagrangean Relaxation Method and compute the Lagrangean Dual solution with the "cutting plane method" and the "subgradient method"; Solve applied problems by making a combined use of the tools described above (bounds, approximate solutions, linear formulations etc.). Among them: designing the optimal crew-scheduling in airlines; designing a path of minimum cost with "transit time" constraint etc. Have a complete understanding of a a real life problem solvable with the above tools. This year: Design of an Optimal Network by means of a "Branch&Cut" algorithm based on the SemiMetric Formulation of the Network Loading Problem;
1035284 \| MODELING AND IDENTIFICATION	2nd	9	ITA
Educational objectives • The course aims to provide the student with basic and advanced statistical tools for the evaluation of performance and decision-making regarding the processes of production of goods and provision of services in the Economic-Management area. • The performance evaluation of a production / delivery system is based on the statistical analysis of the experimental data concerning the variables that define the characteristics of the product item (be it an object or a service) and the process variables from which they depend (explanatory variables). On the basis of this evaluation it is possible to decide whether the quality specifications are respected and possibly to compare the effects produced by possible intervention strategies aimed at improving them. The specific objectives concern: A) Knowledge and understanding: based on the notions of statistics acquired in the previous cycle of studies, define synthetic quality indicators of products / services, their estimation and validation from experimental data, in the articulated real situations that often do not totally fall into the teaching plans referred to by standard methods; B) Applying knowledge and understanding and C) autonomy of judgment: formulating and validating hypotheses on the aforementioned indicators that assure the adequacy of interventions or policies adopted in production / delivery processes aimed at improving their quality; the definition and identification of models that appropriately describe the relationships between the quantities of interest that influence the product of a process; the definition of dynamic models that describe the temporal evolution of the data for the prediction of the time series. D) Communication skills: the student will learn how to present and discuss the results of the analysis in a manner consonant with the interlocutor, so that the results can be easily understood and shared. E) Learning skills: a large collection of case studies to be discussed with the teacher during weekly receptions allows the student to develop autonomous capacity for analysis and solution of various problems related to the various aspects of management.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

2nd year

Lesson	Semester	CFU	Language
10589751 \| PROJECT MANAGEMENT	2nd	9	ITA
Educational objectives GENERAL OBJECTIVES The course clarifies and transfers to students the founding principles, the scope and the fundamental tools and methodologies of Project Management (PM). Starting from the concept of integrated management of projects, all the main methods for managing the performance variables of quality, time and cost will be proposed. In line with the main standard processes of Project Management, the internationally standardized Project Management terminology will be used. At the end of the course the student will be able to plan a project starting from the objectives of quality, time and cost defined by internal or external customers of a company. She/he will also be able to critically analyze an ongoing or closed project proposing both organizational and managerial improvements and both the use of correct Project Management methodologies. SPECIFIC OBJECTIVES KNOWLEDGE AND UNDERSTANDING. The course will allow an in-depth comprehension of the fundamental concepts and tools of Project Management in the main application contexts: new product/service development, business process reengineering and management of engineering-to-order jobs . The students will learn to recognize and to master the best practices of Project Management and to apply them in real contexts. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Through this course students will be able to plan a project starting from the objectives of quality, time and cost requested by the internal or external client, to manage the project execution phase through a proper monitoring of the activities, and to assess project benefits in line with the expectations of the main stakeholders. They will also be able to critically analyze a project in progress or finished proposing both organizational and management improvements and the use of correct Project Management methodologies. MAKING AUTONOMOUS JUDGEMENTS. After the course, students will be able to choose, for a given project, the best methodology through a deep understanding of the requirements and constraints of the business context; moreover they will develop the ability to critically analyze a project. COMMUNICATE SKILLS. At the end of the course the students will be able to illustrate the concepts of Project Management using the standard international terminology, to organize information and project data according to a format and a standardized reporting process comprehensible to professionals, and to present in depth all the aspects of a project to an audience of specialists and non-specialists. LEARNING SKILLS. The student will develop the capability to autonomously study, the capability of teamworking and the critical understanding and evaluation of projects and of different Project Management methodologies.
AAF1016 \| Final exam	2nd	18	ITA
Educational objectives The student will present and discuss the results of a technical activity, producing a written thesis supervised by a professor and showing the ability to master Management Engineering methodologies.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

Economia e gestione della tecnologia

1st year

Lesson	Semester	CFU	Language
10600199 \| Industrial Organization	1st	12	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
1022657 \| MANAGMENT OF INDUSTRIAL PLANTS	1st	9	ITA
Educational objectives OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management. EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.
Elective course	1st	12	ITA
Educational objectives Among other training activities are provided 12 credits are chosen by the student.
10600452 \| Integer Programming and Combinatorial Optimization	2nd	12	ITA
Educational objectives On successful completion of this course, the student should be able to: Recognize the basic features of a combinatorial optimization problem with linear objective function belonging to the wide class of Maximum Weight Independent Set Problems (MWIS) (matching, stable-set, knapsack, spanning forests, spanning connected graph etc.); Construct effective linear formulations (polyhedra) for MWIS problems (Rank Formulation, Circuit Formulation) and compute effective bounds with the Dynamic Simplex Algorithm to be used in the framework of Branch&Bound algorithm; Recognize an Independent System which is a Matroid and prove that the well known "greedy algorithm" always find an optimal solution for the MWIS problem if the Independence System is a Matroid. Compute heuristic solution with guaranteed approximation by means of a Primal-Dual Approximation Algorithm proposed by Goemans and Williamson; Compute effective bounds with the Lagrangean Relaxation Method and compute the Lagrangean Dual solution with the "cutting plane method" and the "subgradient method"; Solve applied problems by making a combined use of the tools described above (bounds, approximate solutions, linear formulations etc.). Among them: designing the optimal crew-scheduling in airlines; designing a path of minimum cost with "transit time" constraint etc. Have a complete understanding of a a real life problem solvable with the above tools. This year: Design of an Optimal Network by means of a "Branch&Cut" algorithm based on the SemiMetric Formulation of the Network Loading Problem;
1035284 \| MODELING AND IDENTIFICATION	2nd	9	ITA
Educational objectives • The course aims to provide the student with basic and advanced statistical tools for the evaluation of performance and decision-making regarding the processes of production of goods and provision of services in the Economic-Management area. • The performance evaluation of a production / delivery system is based on the statistical analysis of the experimental data concerning the variables that define the characteristics of the product item (be it an object or a service) and the process variables from which they depend (explanatory variables). On the basis of this evaluation it is possible to decide whether the quality specifications are respected and possibly to compare the effects produced by possible intervention strategies aimed at improving them. The specific objectives concern: A) Knowledge and understanding: based on the notions of statistics acquired in the previous cycle of studies, define synthetic quality indicators of products / services, their estimation and validation from experimental data, in the articulated real situations that often do not totally fall into the teaching plans referred to by standard methods; B) Applying knowledge and understanding and C) autonomy of judgment: formulating and validating hypotheses on the aforementioned indicators that assure the adequacy of interventions or policies adopted in production / delivery processes aimed at improving their quality; the definition and identification of models that appropriately describe the relationships between the quantities of interest that influence the product of a process; the definition of dynamic models that describe the temporal evolution of the data for the prediction of the time series. D) Communication skills: the student will learn how to present and discuss the results of the analysis in a manner consonant with the interlocutor, so that the results can be easily understood and shared. E) Learning skills: a large collection of case studies to be discussed with the teacher during weekly receptions allows the student to develop autonomous capacity for analysis and solution of various problems related to the various aspects of management.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

2nd year

Lesson	Semester	CFU	Language
10589751 \| PROJECT MANAGEMENT	2nd	9	ITA
Educational objectives GENERAL OBJECTIVES The course clarifies and transfers to students the founding principles, the scope and the fundamental tools and methodologies of Project Management (PM). Starting from the concept of integrated management of projects, all the main methods for managing the performance variables of quality, time and cost will be proposed. In line with the main standard processes of Project Management, the internationally standardized Project Management terminology will be used. At the end of the course the student will be able to plan a project starting from the objectives of quality, time and cost defined by internal or external customers of a company. She/he will also be able to critically analyze an ongoing or closed project proposing both organizational and managerial improvements and both the use of correct Project Management methodologies. SPECIFIC OBJECTIVES KNOWLEDGE AND UNDERSTANDING. The course will allow an in-depth comprehension of the fundamental concepts and tools of Project Management in the main application contexts: new product/service development, business process reengineering and management of engineering-to-order jobs . The students will learn to recognize and to master the best practices of Project Management and to apply them in real contexts. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Through this course students will be able to plan a project starting from the objectives of quality, time and cost requested by the internal or external client, to manage the project execution phase through a proper monitoring of the activities, and to assess project benefits in line with the expectations of the main stakeholders. They will also be able to critically analyze a project in progress or finished proposing both organizational and management improvements and the use of correct Project Management methodologies. MAKING AUTONOMOUS JUDGEMENTS. After the course, students will be able to choose, for a given project, the best methodology through a deep understanding of the requirements and constraints of the business context; moreover they will develop the ability to critically analyze a project. COMMUNICATE SKILLS. At the end of the course the students will be able to illustrate the concepts of Project Management using the standard international terminology, to organize information and project data according to a format and a standardized reporting process comprehensible to professionals, and to present in depth all the aspects of a project to an audience of specialists and non-specialists. LEARNING SKILLS. The student will develop the capability to autonomously study, the capability of teamworking and the critical understanding and evaluation of projects and of different Project Management methodologies.
AAF1016 \| Final exam	2nd	18	ITA
Educational objectives The student will present and discuss the results of a technical activity, producing a written thesis supervised by a professor and showing the ability to master Management Engineering methodologies.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

Modelli decisionali per l'Ingegneria gestionale

1st year

Lesson	Semester	CFU	Language
10600199 \| Industrial Organization	1st	12	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ITA
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
1022657 \| MANAGMENT OF INDUSTRIAL PLANTS	1st	9	ITA
Educational objectives OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management. EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.
Elective course	1st	12	ITA
Educational objectives Among other training activities are provided 12 credits are chosen by the student.
10600452 \| Integer Programming and Combinatorial Optimization	2nd	12	ITA
Educational objectives On successful completion of this course, the student should be able to: Recognize the basic features of a combinatorial optimization problem with linear objective function belonging to the wide class of Maximum Weight Independent Set Problems (MWIS) (matching, stable-set, knapsack, spanning forests, spanning connected graph etc.); Construct effective linear formulations (polyhedra) for MWIS problems (Rank Formulation, Circuit Formulation) and compute effective bounds with the Dynamic Simplex Algorithm to be used in the framework of Branch&Bound algorithm; Recognize an Independent System which is a Matroid and prove that the well known "greedy algorithm" always find an optimal solution for the MWIS problem if the Independence System is a Matroid. Compute heuristic solution with guaranteed approximation by means of a Primal-Dual Approximation Algorithm proposed by Goemans and Williamson; Compute effective bounds with the Lagrangean Relaxation Method and compute the Lagrangean Dual solution with the "cutting plane method" and the "subgradient method"; Solve applied problems by making a combined use of the tools described above (bounds, approximate solutions, linear formulations etc.). Among them: designing the optimal crew-scheduling in airlines; designing a path of minimum cost with "transit time" constraint etc. Have a complete understanding of a a real life problem solvable with the above tools. This year: Design of an Optimal Network by means of a "Branch&Cut" algorithm based on the SemiMetric Formulation of the Network Loading Problem;
1047553 \| Continuous Optimization	2nd	6	ITA
Educational objectives The course introduces to the nonlinear continuous optimization problems and describes the main methodological approaches to efficiently solve this class of optimization problems. At the end of the course, the student should be able to identify the most suitable methodological approach to tackle the real problem to be solved [A) knowledge and understanding]. The student should also be able to correctly use the software available in literature and/or to realize new codes for solving nonlinear continuous optimization problems [B) applying knowledge and understanding]. The student should also have the ability to integrate the mathematical tools proposed in the course to tackle complex real problems [ C) making judgements]. The student should also show that he / she is able to communicate and transfer the methodological approaches used in the considered problems [ D) communication skills]. Finally, the student should have learned well the concepts and methodologies proposed in the course that allow him / her to independently deep further methodological developments of Continuous Optimization [ E) learning skills]. The skills achieved by the student will be verified by a written exam.
1035284 \| MODELING AND IDENTIFICATION	2nd	9	ITA
Educational objectives • The course aims to provide the student with basic and advanced statistical tools for the evaluation of performance and decision-making regarding the processes of production of goods and provision of services in the Economic-Management area. • The performance evaluation of a production / delivery system is based on the statistical analysis of the experimental data concerning the variables that define the characteristics of the product item (be it an object or a service) and the process variables from which they depend (explanatory variables). On the basis of this evaluation it is possible to decide whether the quality specifications are respected and possibly to compare the effects produced by possible intervention strategies aimed at improving them. The specific objectives concern: A) Knowledge and understanding: based on the notions of statistics acquired in the previous cycle of studies, define synthetic quality indicators of products / services, their estimation and validation from experimental data, in the articulated real situations that often do not totally fall into the teaching plans referred to by standard methods; B) Applying knowledge and understanding and C) autonomy of judgment: formulating and validating hypotheses on the aforementioned indicators that assure the adequacy of interventions or policies adopted in production / delivery processes aimed at improving their quality; the definition and identification of models that appropriately describe the relationships between the quantities of interest that influence the product of a process; the definition of dynamic models that describe the temporal evolution of the data for the prediction of the time series. D) Communication skills: the student will learn how to present and discuss the results of the analysis in a manner consonant with the interlocutor, so that the results can be easily understood and shared. E) Learning skills: a large collection of case studies to be discussed with the teacher during weekly receptions allows the student to develop autonomous capacity for analysis and solution of various problems related to the various aspects of management.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

2nd year

Lesson	Semester	CFU	Language
10589751 \| PROJECT MANAGEMENT	2nd	9	ITA
Educational objectives GENERAL OBJECTIVES The course clarifies and transfers to students the founding principles, the scope and the fundamental tools and methodologies of Project Management (PM). Starting from the concept of integrated management of projects, all the main methods for managing the performance variables of quality, time and cost will be proposed. In line with the main standard processes of Project Management, the internationally standardized Project Management terminology will be used. At the end of the course the student will be able to plan a project starting from the objectives of quality, time and cost defined by internal or external customers of a company. She/he will also be able to critically analyze an ongoing or closed project proposing both organizational and managerial improvements and both the use of correct Project Management methodologies. SPECIFIC OBJECTIVES KNOWLEDGE AND UNDERSTANDING. The course will allow an in-depth comprehension of the fundamental concepts and tools of Project Management in the main application contexts: new product/service development, business process reengineering and management of engineering-to-order jobs . The students will learn to recognize and to master the best practices of Project Management and to apply them in real contexts. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Through this course students will be able to plan a project starting from the objectives of quality, time and cost requested by the internal or external client, to manage the project execution phase through a proper monitoring of the activities, and to assess project benefits in line with the expectations of the main stakeholders. They will also be able to critically analyze a project in progress or finished proposing both organizational and management improvements and the use of correct Project Management methodologies. MAKING AUTONOMOUS JUDGEMENTS. After the course, students will be able to choose, for a given project, the best methodology through a deep understanding of the requirements and constraints of the business context; moreover they will develop the ability to critically analyze a project. COMMUNICATE SKILLS. At the end of the course the students will be able to illustrate the concepts of Project Management using the standard international terminology, to organize information and project data according to a format and a standardized reporting process comprehensible to professionals, and to present in depth all the aspects of a project to an audience of specialists and non-specialists. LEARNING SKILLS. The student will develop the capability to autonomously study, the capability of teamworking and the critical understanding and evaluation of projects and of different Project Management methodologies.
AAF1016 \| Final exam	2nd	18	ITA
Educational objectives The student will present and discuss the results of a technical activity, producing a written thesis supervised by a professor and showing the ability to master Management Engineering methodologies.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

Business intelligence and analytics (percorso formativo valido anche ai fini del conseguimento del doppio titolo italo-francese) - in inglese

1st year

Lesson	Semester	CFU	Language
10600261 \| Industrial Organization	1st	12	ENG
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ENG
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Industrial Organization	1st	6	ENG
Educational objectives Knowledge and understanding The course deals with the nature and functioning of those entities which coordinate the production and exchange of goods, such as firms, markets and hierarchies. Students are expected to learn and understand: - the main theoretical views of the firm and the definition of the horizontal and vertical boundaries of the firm; - the structure of firms and their internal organization; - the functioning of markets, with a focus on imperfect competition (monopoly and oligopoly); - the rationale and the scope for government intervention. Applying knowledge and understanding Students will be able to use methods and models of intermediate microeconomics and industrial organization to understand how firms organize and interact, how markets allocate resources and how governments can affect the provision and prices of goods and services. Specifically, students will be able to understand the internal organization of firms and analyze the relationships between industry structure, firms’ conduct and market performance. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the field of industrial organization. Communication By the end of the course, students are able to discuss information, ideas, problems and solutions in the modern theory of industrial organization both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in industrial organization with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.
10600388 \| PROCESS IDENTIFICATION AND CONTROL	1st	9	ENG
Educational objectives The goal of the course is to provide the knowledge and the skills to analyze experimental data, to build and identify suitable models. Techniques of modeling, identification and control will be discussed and applications of interest for management engineering will be proposed. Both model – based control techniques (economic model predictive control) and model-free ones (reinforcement learning) will be addressed. Specific outcomes - Knowledge and understanding The Students will lean methods of modeling and identification and the main applications in different fields. - Capability to apply knowledge and understanding The Students will be able to propose the suitable modeling, data analysis and identification strategy , also in view of support decision issues. - Critical and judgment skill The Students will be able to analyze modeling and identification problems, proposing and implementing suitable strategies. - Communication skills The course activities will allow the Students to increase their communication capabilities in scientific fields. - Learning skills One of the aim of the course is to increase the critical skills of the Students; they will be able to tackle a modeling and identification problems, starting from the literature analysis up to the implementation.
10600425 \| Operations Management	1st	9	ENG
Educational objectives OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management. EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.
Operations Management I	1st	3	ENG
Educational objectives OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management. EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.
Operations Management II	1st	6	ENG
Educational objectives OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management. EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.
Elective course	1st	12	ENG
Educational objectives Among other training activities are provided 12 credits are chosen by the student.
10600389 \| Integer Programming and Combinatorial Optimization	2nd	12	ENG
Educational objectives The course aims to provide the basic notions of Integer Programming and Combinatorial Optimization. The expected learning outcomes consist of the ability to: 1. recognize Integer and Combinatorial Optimization problems in the application fields, also knowing how to evaluate their complexity and characteristics; 2. develop the mathematical modeling of the identified problems, writing optimization models for them; 3. practically solve the considered optimization models, by appropriately choosing the algorithms and solution software; 4. know how to interpret the solutions found in terms of the original application problems. In particular, referring to the Dublin Descriptors: Knowledge and understanding: On completion of the course, the students should have acquired knowledge of Integer Programming and Combinatorial Optimization, in particular with regards to the different types of mathematical models, solution algorithms and software solvers. Skills and abilities: On completion of the course, the students should be able to: - identify Integer and Combinatorial Optimization problems; - write an optimization model of an identified problem; - select an algorithm and a solution software to solve in practice the considered model. Judgement and communication skills: On completion of the course, the students should be able to: - judge the computational complexity of an Integer or Combinatorial Optimization problem and explain this to other colleagues without specific training on the subject; - judge whether a solution approach can practically obtain the solution; - understand the practical meaning of an obtained solution and explain it to other colleagues without specific training on the subject. Learning abilities: On completion of the course, the students should be able to learn and understand new types of models, algorithms and solution software to extend his/her skills in Optimization.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING