MODULE 1 – Introductory concepts
- Introduction to the course
- Recalls of mathematics
- The statistical survey and its phases
- Official sources of statistical data
- From data to information.

MODULE 2 – Descriptive Statistics
2.1 The statistical data collection
 Tools for the collection of statistical data
 The Questionnaire
 The Qualitative Interview
2.2 The representation of statistical data
 Types of variables and Scales
 Statistical distributions
 Graphic representations
2.3 Measures of synthesis: the averages
 The synthesis of frequency distributions
 Synthesis for nominal, ordinal, cardinal and interval variables
 The measures of synthesis for nominal scales
 The measures of synthesis for ordinal scales
 The measures of synthesis for interval scales
2.4 Measures of variability
 The statistical distance and its measures
 The concept of variability of a distribution
 The measures of variability for nominal scales
 The measures of variability for ordinal scales
 The measures of variability for interval scales
 The measures of relative variability
 The Box plot
2.5 The Measures of the Relationships between Variables
 The representation of two statistical variables
 Characteristics of the distribution of two variables
 Types of relationships between variables
 Percentage frequencies for two variables
 Relationships between qualitative variables: the Chi-square
 Relationships between quantitative variables: the Regression
 Relationships between quantitative variables: the Correlation
 The Research Report

MODULE 3. Statistical Inference
3.1 Probability and random variables
 Combinatorial calculation
 The probability as a measure of the degree of possibility. Definitions and application.
 The probability in the classic approach and the conditional probability
 Further probability definitions
 The random variable: probability and distribution function
 Continuous random variable and density function
 Expected value and variance
 Some discrete random variables
 Some continuous random variables
3.2 Sampling techniques
 Introduction
 Sampling
 Differences between probabilistic and non-probabilistic samples
 Probabilistic sampling
 Non- probabilistic sampling
 Sample distributions and sample mean
3.3 Inference from "Statistical experiment"
 Concept and types of inference
 The estimators and their properties
 Point estimate and maximum likelihood
 Interval estimate
 Statistical hypothesis testing
3.4 Geographic Profiling
 Definitions
 Geographic Profiling in the criminological field
 Geographic Information Systems (GIS)
MODULE 4. The Methods of Participation and for the Convergence of Opinions
4.1 Participation and convergence of opinions
 The various forms of participation
 Some methods for the detection of "needs" and "desirderate"
 The Methods for the convergence of opinions
 Delphi method derivatives
4.2 Participation in public decisione and e-participation
 Some methods of participation in public decisions
 The methods for participation used in architecture
 Other useful methods for participation
 Methods for Electronic participation