|SCIENTIFIC DISCIPLINARY SECTOR||MAT/09|
The aim of the course is to provide students with basic knowledge on mathematical optimization models and methods to solve decision problems useful for the training of maritime personnel and, in particular, for the profession of engineer and deck officers.
The Course introduces to optimization models and methods for the solution of decision problems, with particular attention to models and problems arising in Maritime. In particular the focus will be on route planning, cargo loading and stowage, flow management.
The course aims at presenting the subject in its theoretical, methodological and applicative aspects in order to provide students with knowledge of the applicable models and methodologies to be used to solve different types of problems. The laboratory aims at providing the student with the knowledge and skills to use specific software to solve the practical problems faced.
The practical problems addressed in the course concern problems of interest for the profession of engineer and deck officers such as: stowage and loading of different types of ships, route planning, crew scheduling, flow of people and in emergency situations, search and rescue techniques, inventory and warehouse management.
With reference to learning outcomes, at the end of the course the students must have acquired competences that allow them to understand, describe and solve different types of real problems in maritime trasports, develop models and methods and use optimization software environments with a certain mastery of reference. Specifically, at the end of the course, the students will:
Mathematics and Algebra
Lectures, computer labs using application software, small group activities on case studies and project development.
In the case of still lacking health emergency situation, the updated distance and/or blended teaching methods will be communicated on the Aulaweb website of the course (registration is required and recommended).
Working students and students with certified SLD (Specific Learning Disorders), disability or other special educational needs are advised to contact the teacher at the beginning of the course to agree on teaching and examination arrangements so to take into account individual learning patterns, while respecting the teaching objectives.
In each part of the course the theoretical part, aimed at providing the basic methodological contents, will be flanked by the practical laboratory, carried out in the computer lab, through the use of appropriate software environments (excel, lindo) used to formalize and solve the practical problems addressed.
The text books and any supplementary materials will be communicated at the beginning of the course and published in the course Aulaweb page.
Office hours: Wednesday h.15.00-16.00 - Department of Economics - I floor (contact the teacher some days before via email). Remote reception on Team on request: contact the teacher via email (email@example.com)
ELENA TANFANI (President)
DANIELA AMBROSINO (President Substitute)
ANNA FRANCA SCIOMACHEN (President Substitute)
All class schedules are posted on the EasyAcademy portal.
The achievement verification of the expected learning outcomes is evaluated with a written test and with a project work (in small groups) and/or a practical test using optmization software in the computer lab.
The written test is aimed at assessing the degree of knowledge of the theoretical topics discussed in class. While the capacity of critical evaluation and reasoning and the ability to apply the acquired knowledge are assessed through the project work and/or the practical test.
The course is available on Aulaweb