First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Human and Social Sciences and Cultural Heritage
Course unit
SFM0014295, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
SU2297, Degree course structure A.Y. 2017/18, A.Y. 2017/18
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination HOW TO MEASURE LOCAL DEVELOPMENT
Website of the academic structure
Department of reference Department of Historical and Geographic Sciences and the Ancient World
E-Learning website
Mandatory attendance No
Language of instruction English
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge MARIA CASTIGLIONI SECS-S/04
Other lecturers ANNA GIRALDO SECS-S/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses SECS-S/03 Statistics for Economics 4.0
Core courses SECS-S/04 Demographics 5.0

Mode of delivery (when and how)
Period Second semester
Year 1st Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
Hours of
Individual study
Lecture 9.0 63 162.0 No turn

Start of activities 26/02/2018
End of activities 01/06/2018

Examination board
Board From To Members of the board
2 Commissione 2017/18 01/12/2017 30/11/2018 CASTIGLIONI MARIA (Presidente)
GIRALDO ANNA (Membro Effettivo)
1 Commissione 2016/17 01/12/2016 30/11/2017 CASTIGLIONI MARIA (Presidente)
GIRALDO ANNA (Membro Effettivo)

Prerequisites: None
Target skills and knowledge: The course is intended to introduce students to quantitative skills. It aims to give students
(1) some basic statistical tools to read quantitative information and understand statistical analyses;
(2) some basic knowledge about questionnaire design
(3) an introduction to data sources and indicators for demographic and health problems, education, inequalities, and socio-economic conditions in contexts with poor data-collection systems.
Examination methods: Written examination
Assessment criteria: The assessment of students will be based on the understanding of the handled topics, the acquisition of concepts and measures and skills to apply them
Course unit contents: Research methodology: from theory to measurement of social behaviours.
Data collection with questionnaire, questionnaire design.
Descriptive statistics: type of statistical variables; frequency distributions and their graphical representations; measures of location and spread; relation between variables, general concepts of correlation and regression.
Basic concepts of statistical inference: estimation, confidence intervals and hypothesis testing.
Data sources: Census, administrative sources, surveys for countries with poor statistical systems.
The role of indicators; simple and complex indices.
Examples from different fields: demographic indicators, health and education indicators, measures for economic resources, economic inequalities and poverty, human development indices, millennium development goals and indicators.

Contents of this course are the backgroung knowledge required for the 2nd year course "How to measure the impact of development programmes"
Planned learning activities and teaching methods: Frontal lessons and homework and class exercises to improve personal skills; training lessons in PC lab.
Class participation is recommended.
Additional notes about suggested reading: Lesson documentation (slides, homework and exercises) will be available on Moodle Platform.
Textbooks (and optional supplementary readings)
  • Martelli J, Greener S., An Introduction to Business Research Methods. --:, --. download available free at
  • Diez D.M., Barr C.D., Cetinkaya-Rundel M., OpenIntro Statistics. --:, --. download available free at