DAES02B - METODI DI OTTIMIZZAZIONE

courses

ID:

DAES02B

Duration (hours):

24

CFU:

SSD:

METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE

Located in:

PESCARA

Url:

Course Details:

DATA ANALYTICS FOR ECONOMICS AND SOCIETY/CORSO GENERICO Year: 1

Year:

2025

Course Catalogue:

https://unich.coursecatalogue.cineca.it/af/2025?co...

Date/time interval

Secondo Semestre (15/02/2026 - 31/05/2026)

Course Objectives

The course's goal is to give students the skills they need to comprehend optimization issues involving systems with a variety of variables and constraints.

Learning outcomes

Knowledge and comprehension skills - Mastering the mathematical tools necessary for understanding optimization problems in relation to data management and analysis.

Knowledge and applied comprehension skills - Set up an optimization problem in formal terms, compare different solution strategies. - Use the above mathematical model to solve the problem - Reinterpret the solution found in applicative terms

Course Prerequisites

The student should know algebraic expressions and should be able to solve equations and inequalities of first and second degrees.

Teaching Methods

Lectures

Assessment Methods

Written exam, including questions both theoretical and applied. The approximate length of the test is 1 hour and 45 minutes. The questions are aimed at ascertaining the logical-deductive reasoning and calculation skills developed by the student.
In itinere tests are foreseen in the number of 2.

Texts

Teaching material provided by the teacher

Slides of lessons on e-learning platform

In the course, we will study the problem of optimizing a system through mathematical tools, and we will do this using approximate methods and exact methods. We will apply this knowledge to examples of economic systems and statistical problems.

Course Language

Italian language

More information

Tutorship of students:
- 2 hours per week with dates and times communicated at the beginning of the course;
- on request by reservation via e-mail.
E-mail: g.damico@unich.it