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.

Study Plan

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 magistrale in Linguistics - 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.

1° Year

ModulesCreditsTAFSSD
To be chosen between
To be chosen between
6
C
L-FIL-LET/15
6
C
L-FIL-LET/09
Further foreign language skills
6
F
-

2° Year  activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
6
C
M-FIL/05
To be chosen between (different from the 1st choise)
Final exam
30
E
-
ModulesCreditsTAFSSD
To be chosen between
To be chosen between
6
C
L-FIL-LET/15
6
C
L-FIL-LET/09
Further foreign language skills
6
F
-
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
6
C
M-FIL/05
To be chosen between (different from the 1st choise)
Final exam
30
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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

iIntroductory
padvanced
mMasterful

Teaching code

4S004050

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

First half of Semester 2 , Second half of Semester 2

Learning outcomes

CLASSES ARE IN ENGLISH

The course objective is to give students basic concepts of theory of probability and of database management. At the end of the course, the student will be able to
- do basic statistical analysis on data,
- manage a database.

Program

THEORY.
The course will comprise two distinct parts.
The first part will provide basic notions of probability and statistics:
- Introduction to probability: random variables, mean, variance, expectation, independence, conditionally independence
- Linear methods for regression
- Least Square methods

The second part will focus on fundamentals of database systems:
- Introduction to Database theory
- Entity-Relation paradigm
- Examples of Structured Query Language (SQL)

LABORATORY.
Laboratory activities using the Statistical Toolbox of Matlab
Laboratory activities on a database

TEACHIN AIDS: During the course lecture notes and slides will be provided.
FURTHER READINGS:
Papoulis, A., & Pillai, U. (2001). Probability, random variables and stochastic processes. (4th ed.) New York: McGraw-Hill.
Elmasri, Ramez (2008). Fundamentals of database systems, Pearson Education.

Examination Methods

The exam will consist of a project addressing some topics discussed during the course. To pass the exam, the student should:
- have understood the principles related to probability and statistics, and database management,
- be able to use the knowledge acquired during the course to solve the assigned project,
- be able to describe their work.

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

Teaching materials e documents