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CODE 106836
ACADEMIC YEAR 2023/2024
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR SECS-S/06
LANGUAGE English
TEACHING LOCATION
  • GENOVA
SEMESTER 1° Semester
MODULES Questo insegnamento è un modulo di:
TEACHING MATERIALS AULAWEB

OVERVIEW

The aim of the course is to provide the student with the knowledge of advanced mathematical methods to successfully deal with economic models from a quantitative viewpoint.

AIMS AND CONTENT

LEARNING OUTCOMES

The course will provide the mathematical tools needed to successfully attend the other courses of the Master program. Specifically, the course: i) will integrate topics from the undergraduate course of Math, notably integration theory and linear algebra; ii) will introduce the student to differential calculus for functions of several variables and to the unconstrained optimization of such functions; iii) will introduce the students to the formalism of difference and differential equations and dynamical systems. Special attention will be devoted to examples based on economic models.

AIMS AND LEARNING OUTCOMES

At the end of the course, the student will be able to deal, autonomously and properly, with the learned mathematical topics and apply them to economic problems with the needed methodological rigor.

Knowledge and understanding: The students must learn the main mathematcal techniques for the optmization and the description of dynamical systems.

Ability to apply knowledge and understanding: The students must be able to model and solve mathematical problems of static optimization and dynamical system in the field of social sciences.  

Making judgments: The students must be able to use the acquired knowledge with an autonomous evaluating assessment.  

Communication skills: Students must be able to use the correct technical language for the communication of the results and for the description of the techniques.

Learning skills: Students will develop adequate learning skills in order to continue with further studies about other aspects of the subject and different fields of application than those illustrated. 

PREREQUISITES

Calculus and optimization in one variable and basic notions of linear algebra.

TEACHING METHODS

The course will be taught by frontal lectures. 

SYLLABUS/CONTENT

  • Advandced topics in linear algebra
  • ​Advanced topics in integration theory and applications to Economics
  • Calculus in several variables and optimization
  • Constrained optimization and applications to Economic

 

RECOMMENDED READING/BIBLIOGRAPHY

- Simon, C., Blume, L.: Mathematics for Economists (1994), Norton and Company

- Peccati, L., D'Amico, M., Cigola, M. : Maths for Social Sciences (2018), Springer

- Knut Sydsaeter, Peter Hammond, Atle Seierstad, Arne Strom, "Further mathematics for Economic Analysis" (2nd edition), Pearson 

TEACHERS AND EXAM BOARD

Exam Board

MARIA LAURA TORRENTE (President)

MAURO ROSESTOLATO

LESSONS

LESSONS START

September 2023

Class schedule

L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy.

EXAMS

EXAM DESCRIPTION

The exam will be written and will contain questions on the the theoretical and modeling features treated in the course as well as exercises.

ASSESSMENT METHODS

The  exam will evaluate the understanding of the contents of the course with the goal of assessing the reached skill of applying the tools and the methods learned in an economic perspective.

Exam schedule

Data Ora Luogo Degree type Note
08/01/2024 14:00 GENOVA Scritto
22/01/2024 14:00 GENOVA Scritto
06/02/2024 14:00 GENOVA Scritto
22/05/2024 11:00 GENOVA Scritto
12/06/2024 11:00 GENOVA Scritto
10/07/2024 11:00 GENOVA Scritto
11/09/2024 11:00 GENOVA Scritto

FURTHER INFORMATION

Other information will be provided during the course. For non-attending students the same rules apply.

Students with DSA certification ("specific learning disabilities"), disability or other special educational needs are advised to contact the teacher at the beginning of the course to agree on teaching and examination methods that, in compliance with the teaching objectives, take account of individual learning arrangements and provide appropriate compensatory tools.

Agenda 2030 - Sustainable Development Goals

Agenda 2030 - Sustainable Development Goals
Quality education
Quality education
Gender equality
Gender equality
Decent work and economic growth
Decent work and economic growth