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 2025/2026The 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
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2° Year activated in the A.Y. 2018/2019
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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.
Information technology (2017/2018)
Teaching code
4S004050
Teacher
Coordinator
Credits
6
Language
English
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.
Teaching materials e documents
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Introduction to Databases (zip, it, 706 KB, 3/26/18)
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Lab1 (zip, it, 370 KB, 3/7/18)
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Lesson1 (zip, it, 546 KB, 3/1/18)
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Lesson2 (zip, it, 1081 KB, 3/6/18)
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Lesson3 (zip, it, 370 KB, 4/17/18)
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Matlab Primer (zip, it, 1932 KB, 3/1/18)
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Relational Data Model (zip, it, 1133 KB, 3/28/18)
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Structured Query Language (zip, it, 1128 KB, 4/4/18)