PREPARATORY COURSE - LABORATORY OF QUANTITATIVE METHODS

Academic year
2025/2026 Syllabus of previous years
Official course title
PRECORSO - LABORATORY OF QUANTITATIVE METHODS
Course code
EM9057 (AF:581856 AR:328178)
Teaching language
English
Modality
On campus classes
ECTS credits
0
Degree level
Master's Degree Programme (DM270)
Academic Discipline
NN
Period
Precorsi
Course year
1
Where
VENEZIA
Moodle
Go to Moodle page
The preparatory course aims to review the fundamental concepts of descriptive and provide students with the necessary tools to address basic statistics calculation and to attend the Statistical methods for tourism course. Attendance is highly recommended for those students who do not have any background in statistics, but it can also be a good opportunity to review basic concepts .
At the end of the pre-course, students will be expected to have acquired the basic knowledge of statistics to develop descriptive analyses, as for example graphics and numerical synthesis.
In particular, students should:
1. Knowledge and understanding
- know the terminology and basic concepts of descriptive statistics;
2. Ability to apply knowledge and understanding
- know how to determine the best statistical methods for the descriptive analysis of real phenomena;
- understand the main aspects of the descriptive statistical analyses;
3. Making judgements
- be able to critically assess under which circumstances the analyses are reliable;
- be able to assess the goodness of the achieved results.
4. (Lifelong) learning skills
- be able to critically consult reference books and online material in the fields of descriptive statistics.
Students are assumed to be familiar with high-school level mathematics.
During the pre-course the following descriptive statistics topics will be reviewed:

1. Introduction
2. Types of Data
3. Frequency Distributions
4. Graphical Representation
5. Measures of Centrality
6. Measures of Variability
7. Measures of Association
Chapters 1-2 of the book: Illowsky, D., Dean, S. (2022) Introductory Statistics, OpenStax (available for free download at https://openstax.org/details/books/introductory-statistics?Book%20details ).
The precourse does not include a final exam, nor are there any other forms of assessment of learning.
not present
The precourse does not include a final exam, nor are there any other forms of assessment of learning.
Lessons with discussion and illustration of the methods presented through examples
Definitive programme.
Last update of the programme: 26/06/2025