CODE | 80675 |
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ACADEMIC YEAR | 2022/2023 |
CREDITS |
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SCIENTIFIC DISCIPLINARY SECTOR | MAT/09 |
LANGUAGE | Italian |
TEACHING LOCATION |
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SEMESTER | 1° Semester |
TEACHING MATERIALS | AULAWEB |
The course introduces students to optimization models and decision support methods used for the analysis and resolution of decision problems arising in economics and social sciences field. Some of the problems have been already studied from a teorethical view point in some of the 1° and 2° year courses of the Economics bachelor, thus the attention will be focused on how obtaining the problem solutions using specific software.
The course aims to provide students with a basic knowledge about the main quantitative methods to support decision-making processes in economics, both in certain and uncertain environments. The course also aims to let the students be able to use the reference software environments for solving the different problems faced. From a methodological point of view will be introduced single decision maker optmization problems, in particular using convex programming models to optimize different objective functions (such as profit and utility maximization and cost minimization), decision models under uncertainty and risk and game theory decision methods to deal with situations of strategic interaction.
The course aims to present the subject in its theoretical, methodological and applicative features in order to provide students with knowledge of the applicable models and methodologies. The practical laboratories aim to provide the student with the knowledge and skills to use specific software in order to solve the practical problems faced.
At the end of the course the students should have acquired skills that allow them to understand, describe and solve different types of real problems, developing models and solution methods and using, with a certain mastery, the reference software environments.
In particular, students at the end of the course will:
Suggested: Mathematics and Statistics
Lectures, analysis of case studies, computer lab exercises and lessons using ad hoc software tools.
In the case of health emergency situation, the updated distance and blended teaching methods will be communicated on the Aulaweb page of the course (registration is required and recommended).
For each part of the course, the theoretical discussion intended to provide basic theory content, will be complemented by the practical/laboratory part in the computer lab using specific software tools (Excel solver and optimization software).
Part I:
Part II:
Part III:
The text books and other additional handouts for foreign students will be communicated at the beginning of the course and published on 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 (etanfani@economia.unige.it)
ELENA TANFANI (President)
DANIELA AMBROSINO
ANNA FRANCA SCIOMACHEN
Sem: I
12 Sept 2022
The verification of the achievement of the expected learning outcomes is evaluated with a written test and with a project work (alone or in groups) and / or a practical test in the computer lab.
The written test is aimed at assessing the degree of knowledge and learning of the theoretical topics discussed during the lectures. While the critical evaluation and reasoning and the ability to apply the acquired knowledge are evaluated through the project work and/or the practical exam.
Date | Time | Location | Type | Notes |
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10/01/2023 | 14:30 | GENOVA | Scritto | |
25/01/2023 | 14:30 | GENOVA | Scritto | |
16/02/2023 | 11:00 | GENOVA | Scritto | |
10/05/2023 | 15:30 | GENOVA | Scritto | appello straordinario riservato ai laureandi 21/22 |
08/06/2023 | 14:00 | GENOVA | Scritto | II appello met.dec. AE 22 giugno ore 10 |
22/06/2023 | 14:00 | GENOVA | Scritto | II appello met.dec. AE 22 giugno ore 10 |
22/06/2023 | 14:00 | GENOVA | Scritto | |
05/07/2023 | 14:00 | GENOVA | Scritto | II appello met.dec. AE 22 giugno ore 10 |
01/09/2023 | 14:00 | GENOVA | Scritto | II appello met.dec. AE 22 giugno ore 10 |
Not compulsory.
The course is available on aulaweb. All students are invited to periodically consult the page of this course on the AulaWeb portal (http://www.aulaweb.unige.it/), where they will find further information and updates.
It should be noted that to take into account the findings of last year's teaching assessment questionnaires, more time will be devoted to laboratories and case studies.