First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Human and Social Sciences and Cultural Heritage
LOCAL DEVELOPMENT
Course unit
HOW TO MEASURE LOCAL DEVELOPMENT
SFM0014295, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
LOCAL DEVELOPMENT
SU2446, Degree course structure A.Y. 2018/19, A.Y. 2019/20
N0
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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 www.dissgea.unipd.it
Department of reference Department of Historical and Geographic Sciences and the Ancient World
Mandatory attendance No
Language of instruction English
Branch PADOVA
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

Lecturers
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 6.0
Core courses SECS-S/04 Demographics 3.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Practice 1.0 14 11.0 No turn
Lecture 8.0 58 142.0 No turn

Calendar
Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2018 course timetable

Syllabus
Prerequisites: None
Target skills and knowledge: The course is intended to introduce students to quantitative skills. It aims to give students
1) some basic knowledge of tools to collect information (questionnaire design)
2) some basic statistical tools to read quantitative information and understand and produce simple statistical analyses;
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: Evaluation of workgroups and homeworks, and final written exam
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.
Planned learning activities and teaching methods: Lectures, class discussion, and homework and class exercises to improve personal skills; training lessons in computer lab.
Class participation is highly recommended.
Additional notes about suggested reading: Lectures materials (slides, homework and exercises) will be available on the Moodle Platform.
Textbooks (and optional supplementary readings)
  • Martelli J, Greener S., An Introduction to Business Research Methods. --: Bookboon.com, --. download available free at www.bookboon.com
  • Diez D.M., Barr C.D., Cetinkaya-Rundel M., OpenIntro Statistics. --: OpenIntro.org, --. download available free at www.openintro.org

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Problem based learning
  • Case study
  • Interactive lecturing
  • Working in group
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Software R

Sustainable Development Goals (SDGs)
Quality Education