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MATHEMATICS FOR ECONOMICS AND DATA SCIENCE 2

CODE 106837
ACADEMIC YEAR 2022/2023
CREDITS
  • 6 cfu during the 1st year of 11267 ECONOMICS AND DATA SCIENCE (LM-56) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR SECS-S/06
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 2° Semester
    MODULES This unit is a module of:
    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 will offer the student: i) a more in-depth study of linear algebra; ii) the tools to face both unconstrained and constrained optimization problems for functions of several variables; iii) basic knowledge and methods to analyze systems of differential equations. Further, the student will acquire the fundamental concepts of probability necessary to model uncertain events.

    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

    The contents of the course of Mathematics for Economics and Data Sciences I.

    TEACHING METHODS

    The course will be taught by frontal lectures. 

    SYLLABUS/CONTENT

    • Advandced topics in linear algebra
    • Constrained optimization and applications to Economics
    • Differentiable equations in two variables and applications to Economics

     

     

     

    RECOMMENDED READING/BIBLIOGRAPHY

    • Sydsaeter, K., Hammond, P., Seierstad, A., Strom, A.: Further Mathematics for Economic Analysis (2008), Pearson
    • Simon, C., Blume, L.: Mathematics for Economists (1994), Norton and Company
    • Peccati, L., D'Amico, M., Cigola, M. : Maths for Social Sciences (2018), Springer

    TEACHERS AND EXAM BOARD

    Exam Board

    SALVATORE FEDERICO (President)

    MARIA LAURA TORRENTE (President Substitute)

    LESSONS

    LESSONS START

    Second semester, February 2023

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    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

    Date Time Location Type Notes

    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.