QUANTITATIVE ANALYSIS IN SUSTAINABLE DEVELOPMENT

Course Information
TitleΠΟΣΟΤΙΚΗ ΑΝΑΛΥΣΗ ΓΙΑ ΤΗ ΒΙΩΣΙΜΗ ΑΝΑΠΤΥΞΗ / QUANTITATIVE ANALYSIS IN SUSTAINABLE DEVELOPMENT
CodeΕΔΕ08
FacultySocial and Economic Sciences
SchoolEconomics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CoordinatorGrigorios Zarotiadis
CommonNo
StatusActive
Course ID600026522

Programme of Study: Data Science in Economics and Finance

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
CoreElective Courses116

Class Information
Academic Year2025 – 2026
Class PeriodWinter
Faculty Instructors
Class ID
600273585
Course Type 2021
Specialization / Direction
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge of macroeconomics and economic development Basic knowledge of statistics and econometrics
Learning Outcomes
Analyze contemporary issues of sustainable development Combining databases of different origins and content Developing new and analyzing the effectiveness of quantitative indicators Using new computational methods and technologies specifically for the analysis of sustainable development issues
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Respect natural environment
  • Advance free, creative and causative thinking
Course Content (Syllabus)
I koinonikooikonomiká kai perivallontiká nooúmeni viosimótita apoteleí tin kentrikí epidíoxi tis pankósmias koinótitas. Málista, pénte éti prin tin oloklírosi tis stratigikís ton Stóchon Viósimis Anáptyxis 2015-2030, stin prósfati Sýnodo gia to Méllon (OIE, Néa Yórki 22-23 Septémvri 2024) xekínise i diergasía olikís axiológisis tis éos tóra exélixis kai schediasmoú tis epómenis periódou. Kathístatai pasifanés óti se aftó to plaísio, dedoménou málista tou polydiástatou tis énnoias tis viósimis anáptyxis, échei idiaiteri simasía i katállili exypirétisi me posotiká dedoména kai methódous axiológisis. Sto plaísio tou mathímatos exetázetai akrivós aftó to zítima, prosengízontas synkekriména tis akólouthes thematikés: a) Eisagogí kai vasikés ennoies peri viósimis anáptyxis, v) Syndyazómenes váseis dedoménon kai sýstima deiktón sto plaísio tis stratigikís SDGs 2015-2030 - zitímata kai trópoi antimetópisis, g) I simasía tis posotikís análysis sto Méllon kai i chrísi néon ypologistikón methódon kai technologión - theoría kai praktikí. 1.030 / 5.000 Sustainability, understood in socio-economic and environmental terms, is the central pursuit of the global community. In fact, five years before the completion of the Sustainable Development Goals 2015-2030 strategy, at the recent Summit on the Future (UN, New York 22-23 September 2024) the process of comprehensive evaluation of the development to date and planning for the next period began. It is evident that in this context, especially given the multidimensional nature of the concept of sustainable development, appropriate service with quantitative data and evaluation methods is of particular importance. The course examines precisely this issue, specifically approaching the following topics: a) Introduction and basic concepts of sustainable development, b) Combined databases and indicator system within the framework of the SDGs 2015-2030 strategy - issues and ways to address them, c) The importance of quantitative analysis in the future and the use of new computational methods and technologies - theory and practice.
Keywords
Sustainable development databases, Sustainable development indicators, Quantitative analysis of sustainable development
Educational Material Types
  • Notes
  • Slide presentations
  • Video lectures
  • Interactive excersises
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39
Laboratory Work31
Reading Assigment70
Written assigments40
Total180
Student Assessment
Description
Evaluation with final exams on the course material (60%), conducted orally or in writing, as well as the papers conducted by the students (40%).
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Summative)
  • Oral Exams (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Additional bibliography for study
"Sustainable Development: Economics and Policy", Peter S. C. van der Meer & Mark C. Schilling "Quantitative Methods for Sustainability Research", R. P. M. de Almeida
Last Update
21-09-2025