DAES02A - ANALISI MATEMATICA E ALGEBRA LINEARE

courses

ID:

DAES02A

Duration (hours):

72

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

Primo Semestre (01/10/2025 - 31/01/2026)

Course Objectives

The objective of the course is to equip students with the necessary tools to understand phenomena related to functions in one variable and in multiple but linear variables, including the necessary tools of linear algebra. Expected learning outcomes Knowledge and comprehension skills - Mastering the mathematical tools necessary for understanding social and economic models and data analysis. Knowledge and applied comprehension skills- Choose a mathematical model to solve a problem involving the use of data - 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 this course, we will learn the mathematical language and use it to study the dependencies between numerical variables using function graphs. We will then apply this knowledge to statistics and economics.

Course Language

Italian

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