ITA | ENG
B024345 - FLOW NETWORKS OPTIMIZATION
Academic Year 2018-19
Coorte 2018 - Second Cycle Degree in TELECOMMUNICATION ENGINEERING
Course year
First year - Second Semester
Belonging Department
Information Engineering (DINFO)
Course Type
Single education field course
Scientific Area
MAT/09 - OPERATIONS RESEARCH
Credits
6
Teaching Hours
48
Teaching Term
25/02/2019 ⇒ 07/06/2019
Attendance required
No
Type of Evaluation
Final Grade
Lectureship
Mutuality
Course teached as:
B019393 - OTTIMIZZAZIONE SU RETI DI FLUSSO
Second Cycle Degree in MECHANICAL ENGINEERING
Curriculum GESTIONALE PRODUTTIVO
B019393 - OTTIMIZZAZIONE SU RETI DI FLUSSO
Second Cycle Degree in MECHANICAL ENGINEERING
Curriculum GESTIONALE PRODUTTIVO
Teaching Language
Italian
Learning Objectives
Training objectives of the course are:
1) Knowledge of models and algorithms for network optimization problems.
2) Ability to formulate network optimization problems.
3) Ability to recognise the structure of a problem.
4) Ability to apply and adapt standard network optimization algorithms to specific application contexts.
cc2: In-depth knowledge and understanding of the theoretical-scientific aspects of mathematics and other basic sciences. To be able to use this knowledge to interpret and describe complex and/or interdisciplinary engineering problems.
cc7: Knowledge and understanding of the design principles of production plants and processes, logistical facilities for material handling and storage. Understanding the advantages and limitations of process and plant design choices in different application contexts.
cc12: Knowledge and understanding of methods for conceiving, planning, designing and managing complex and/or innovative systems, processes and services.
cc15: Fluent knowledge, in written and oral form, of at least one European Union language (essentially English) other than Italian, with reference also to disciplinary lexicons.
ca2: Applying knowledge and understanding related to the analysis and optimization of mechanical devices and systems, as well as to their innovation also through the development and improvement of design methods, constantly confronting with the rapid evolution of mechanical engineering.
ca3: Applying knowledge and understanding related to the choice and application of appropriate analytical and modelling methods, based on mathematical and numerical analysis, in order to better simulate the behavior of components and plants in order to predict and improve their performance.
ca7: Applying knowledge and understanding related to the definition, design and implementation of researches useful for understanding problems, through the use of both theoretical and experimental models and techniques.
ca9: Applying knowledge and understanding related to the critically assessment of data and results, drawing appropriate conclusions, aware of the degree of uncertainty that may affect them.
ca10: Applying advanced knowledge and understanding to operate effectively, individually and as members of a group, having a clear understanding of the context of engineering problems and of the interdisciplinary implications that characterize mechanical engineering.
ca12: Applying adequate knowledge and understanding to understand English texts.
ca15:Applying knowledge and understanding to achieve adequate preparation for tertiary level university studies (frequency to post-master's degree courses and doctoral schools) in order to further deepen knowledge and skills in research.
1) Knowledge of models and algorithms for network optimization problems.
2) Ability to formulate network optimization problems.
3) Ability to recognise the structure of a problem.
4) Ability to apply and adapt standard network optimization algorithms to specific application contexts.
cc2: In-depth knowledge and understanding of the theoretical-scientific aspects of mathematics and other basic sciences. To be able to use this knowledge to interpret and describe complex and/or interdisciplinary engineering problems.
cc7: Knowledge and understanding of the design principles of production plants and processes, logistical facilities for material handling and storage. Understanding the advantages and limitations of process and plant design choices in different application contexts.
cc12: Knowledge and understanding of methods for conceiving, planning, designing and managing complex and/or innovative systems, processes and services.
cc15: Fluent knowledge, in written and oral form, of at least one European Union language (essentially English) other than Italian, with reference also to disciplinary lexicons.
ca2: Applying knowledge and understanding related to the analysis and optimization of mechanical devices and systems, as well as to their innovation also through the development and improvement of design methods, constantly confronting with the rapid evolution of mechanical engineering.
ca3: Applying knowledge and understanding related to the choice and application of appropriate analytical and modelling methods, based on mathematical and numerical analysis, in order to better simulate the behavior of components and plants in order to predict and improve their performance.
ca7: Applying knowledge and understanding related to the definition, design and implementation of researches useful for understanding problems, through the use of both theoretical and experimental models and techniques.
ca9: Applying knowledge and understanding related to the critically assessment of data and results, drawing appropriate conclusions, aware of the degree of uncertainty that may affect them.
ca10: Applying advanced knowledge and understanding to operate effectively, individually and as members of a group, having a clear understanding of the context of engineering problems and of the interdisciplinary implications that characterize mechanical engineering.
ca12: Applying adequate knowledge and understanding to understand English texts.
ca15:Applying knowledge and understanding to achieve adequate preparation for tertiary level university studies (frequency to post-master's degree courses and doctoral schools) in order to further deepen knowledge and skills in research.
Type of Assessment
oral test + optional group project based on the study of a scientific publication (in English language) concerning the topics of the course.
The oral examination focuses on questions relating to models and algorithms for solving a particular problem addressed during the course.
In order to pass the exam, students must show that they have a basic knowledge of the subjects, be able to recognize the structure of a problem and discuss mathematical models and algorithms for its resolution, dealt with in the course .
The oral examination focuses on questions relating to models and algorithms for solving a particular problem addressed during the course.
In order to pass the exam, students must show that they have a basic knowledge of the subjects, be able to recognize the structure of a problem and discuss mathematical models and algorithms for its resolution, dealt with in the course .