Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Hybrid
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Course Coordinator : |
Assoc. Prof. ESRA ALBAYRAKOĞLU |
Recommended Optional Program Components: |
None |
Course Objectives: |
Objective of this course is to provide theoretical basis, rules, and aspects of regional policy and regional development in EU countries. The course will get students familiar with the idea of Euro-pean Union regional policy and its evolution, institutions, mechanism, and financing. Essential part of the course will be focusing on contemporary problems of EU regional policy, regional development in selected countries, differences and priorities. The course will particularly analyze regional development processes and offer students a variety of ‘good practices’. Case study analysis will be an important component of the course. |
Week |
Subject |
Related Preparation |
1) |
Introduction |
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2) |
Historical Evolution of European Integration |
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3) |
Institutions of the EU and the management of the EU budget |
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4) |
The EU regional policy: An Overview |
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5) |
Common Agricultural Policy and the emergence of rural development paradigm |
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6) |
Emergence of rural development paradigm and NUTS methodology |
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7) |
Implementation of the EU Regional Policy: Types of funds |
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8) |
Mind-mapping presentations |
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9) |
Midterm |
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10) |
Impact of Economic Crisis on European Regions and Future Challenges |
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11) |
Enlargement and Regional Development in Central and Eastern European Countries |
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12) |
Case Studies: Mezzogiorno (Italy) and Catalonia (Spain) |
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13) |
Student Presentations (Pecha Kucha) |
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14) |
General Evaluation |
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Program Outcomes |
Level of Contribution |
1) |
Have sufficient background in mathematics, science and artificial intelligence engineering. |
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2) |
Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. |
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3) |
Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. |
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4) |
Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. |
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5) |
Select and use modern techniques and tools necessary for engineering applications. |
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6) |
Design and conduct experiments, collect data, and analyse and interpret results. |
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7) |
Work effectively both as an individual and as a multi-disciplinary team member. |
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8) |
Access information via conducting literature research, using databases and other resources |
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9) |
Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. |
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10) |
Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. |
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11) |
Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. |
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12) |
Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. |
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13) |
Have a sense of professional and ethical responsibility. |
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14) |
Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |
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