Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Matematica applicata - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

2° Year  activated in the A.Y. 2013/2014

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
B
MAT/06
One course chosen from the following two
6
C
SECS-P/01
6
C
FIS/01
One course chosen from the following two
6
C
SECS-P/01

3° Year  activated in the A.Y. 2014/2015

ModulesCreditsTAFSSD
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
6
C
MAT/06 ,SECS-P/05
Prova finale
6
E
-
activated in the A.Y. 2013/2014
ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
B
MAT/06
One course chosen from the following two
6
C
SECS-P/01
6
C
FIS/01
One course chosen from the following two
6
C
SECS-P/01
activated in the A.Y. 2014/2015
ModulesCreditsTAFSSD
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
6
C
MAT/06 ,SECS-P/05
Prova finale
6
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Other activities
6
F
-
Between the years: 1°- 2°- 3°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S01951

Coordinator

Valeria Maggian

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITY AND STATISTICSSECS-P/05 - ECONOMETRICS

Period

I sem. dal Oct 1, 2014 al Jan 30, 2015.

Learning outcomes

This course intends to expose students to the statistical techniques that economists use for estimating, testing, and forecasting economic relationships. The course covers a range of examples and empirical applications in order to allow students to properly analyze economic phenomena, including the use of a computer software package.

Program

Review of Statistics.
Single and multiple regression models.
Interpretation, estimation, inference and prediction of the models: OLS and diagnostic.
Regression model for binary dependent variable.

Reference texts
Author Title Publishing house Year ISBN Notes
James H. Stock, Mark W. Watson Introduzione all'econometria (Edizione 4) Pearson Education Italia 2016 978-8-891-90124-8

Examination Methods

Written exam: theoretical questions and exercises.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE