Programme: Any programme
Subject Role: Compulsory elective
Recommended semester: 0
Objectives
The course aims to address three main areas of multidimensional social and economic development that are relevant to the Sustainable Development Goals and relevant to all, such as economic growth, the dynamics of poverty and inequality, demographic trends, environmental challenges, urbanization, education and health, and policies and institutional systems that promote and hinder development. The second aim is to introduce students to the application of empirical data analysis using the examples of various development theory indicators and various country rankings. Finally, building on the above knowledge and skills, the aim is to provide students with a comprehensive and up-to-date approach that will help them navigate the national and international trends and policies of the 21st century.
Academic results
Knowledge
- indicators and stylized facts of international development trends,
- models of classical international economics and their limitations,
- methodology of regression calculations on international data and in international comparisons,
- main current directions and theoretical trends in development economics,
- instruments of applied development policies and their welfare effects,
- instruments and effects of international economic policy in relation to both developed and developing countries.
Skills
- compile an independent international data set and perform regression analysis,
- calculate and interpret different rank correlations (Pearson, Spearman and Kendall),
- analyze the advantages and disadvantages of classical and modern development theories and models,
- compare and comprehensively analyze economic and social development goals,
- interpret the role and impact of national and international development policy within different institutional frameworks,
- assess the impact of different economic policies in different historical, political and geographical conditions.
Attitude
- The student
- 1. is open to the use of information technology tools, to learning and accepting the methodology of regression and time series analysis models, and to authentically conveying it
- 2. cooperates with the instructor and fellow students in expanding their knowledge
- 3. expands their knowledge through continuous learning
- 4. is open to critical thinking
- 5. strives to learn and apply different economic approaches.
Independence and responsibility
- The student is open to well-founded critical feedback.
- The student collaborates with professionals from other disciplines when carrying out professional tasks.
- The student applies a systems-based approach in their thinking.
Teaching methodology
Lectures, computational exercises and communication in written and oral form. use of IT technics, optional: individual and in group problem solving.
Materials supporting learning
- Todaro, Michael P. – Smith, Stephen C. (2020): Economic Development. (13th ed.) Addison-Wesley, London.
- Acemoglu, D. – Robinson, J. A. (2013): Miért buknak el nemzetek. A hatalom, a jólét és a szegénység eredete. HVG Kiadó Zrt., Budapest.
- Ajánlott:
- Banerjee, Abhijit V. – Duflo, Esther (2021): Jó közgazdaságtan a nehéz időkre. Jobb válaszok bonyolultabb kérdéseinkre. HVG Kiadó Zrt., Budapest.
- Egyéb oktatási segédanyagok elérhetősége: https://edu.gtk.bme.hu/
General Rules
Assessment of learning outcomes described under 2.2. is based on two written mid-term tests during the semester
Performance assessment methods
Learning unit assessment: the complex assessment of knowledge, skills and attitude is written test containing a test part and an exercise part. The test part is intended to assess the knowledge of notions and principles, the exercise part is intended to assess students’ problem solving. The precise from, content and assessment of the written test is to be determined by the lecturer in accordance with the subject responsible.
Percentage of performance assessments, conducted during the study period, within the rating
- 1. learning unit assessment: 50
- 2. learning unit assessment: 50
Percentage of exam elements within the rating
Conditions for obtaining a signature, validity of the signature
-
Issuing grades
% | |
---|---|
Excellent | 91-100 |
Very good | 86-90 |
Good | 71-85 |
Satisfactory | 56-70 |
Pass | 40-55 |
Fail | 0-39 |
Retake and late completion
The obligatory mid-term test can be retaken or made up according to the general rules of the university. In the case of a make-up paper, the grade for the make-up paper is the grade.
Coursework required for the completion of the subject
Nature of work | Number of sessions per term |
---|---|
Contact | 28 |
preparation for mid-term test | 40 |
learning of written material | 22 |
Approval and validity of subject requirements
Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 07.07.2024.
Topics covered during the term
Subject includes the topics detailed in the course syllabus to ensure learning outcomes listed under 2.2. can be achieved. Timing of the topics may be affected by calendar or other circumstances in each semester.
Lecture topics | |
---|---|
1. | Introducing economic development: A global perspective CH 1 |
2. | Comparative economic development. CH 2 |
3. | Classic theories of economic growth and development. CH 3 |
4. | Contemporary models of development and underdevelopment. CH 4 |
5. | Why nations fail? (Acemoglu–Robinson CH 1–5) |
6. | Obligatory mid-term assessment (written mid-term test) |
7. | Poverty, Inequality, and Development CH 5 |
8. | Population growth and economic development CH 6 |
9. | Urbanization and rural-urban migration. CH 7 |
10. | Human capital in economic development. CH 8 |
11. | The Environment and development CH 10 |
12. | Development policymaking. CH 11 |
13. | Obligatory mid-term assessment (written mid-term test) |
14. | Obligatory mid-term assessment (written mid-term test) – retake/make-up opportunity |
Additional lecturers
Name | Position | Contact details |
---|---|---|
Kupcsik Réka | egyetemi tanársegéd/assistant lecturer | kupcsik.reka@gtk.bme.hu |
Bánhidi Zoltán | egyetemi adjunktus/senior lecturer | banhidi.zoltan@gtk.bme.hu |