SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code	Course Name	Year	Semester	Theoretical	Practical	Credit	ECTS
DTI5206	The Turkish Economy and the European Union	2	Fall	3	0	3	6

Course Type :	University Elective
Cycle:	Associate TQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Language of Instruction:	Turkish
Prerequisities and Co-requisities:	N/A
Mode of Delivery:	Face to face
Name of Coordinator:	Dr. Öğr. Üyesi BURAK NEDİM AKTAŞ
Dersin Öğretim Eleman(lar)ı:	Dr. Öğr. Üyesi BURAK NEDİM AKTAŞ
Dersin Kategorisi:	Competency Development (University Elective)

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives:

The aim of this course is to help students understand how theoretical economics is reflected in the Turkish economy in practice; to develop the ability to interpret key macroeconomic variables of the Turkish economy and their broad trends; and to evaluate economic policies from the past to the present (and with a forward-looking perspective). The course also aims to build a comprehensive, sectoral understanding of the Turkish economy (e.g., public sector, key sectors, financial structure, and external balance).

Course Content:

The course examines the Turkish economy through a sectoral perspective. It begins with the fundamental characteristics of Turkey’s economy and its position in the world economy, then covers national income/growth, income distribution, and poverty. It subsequently addresses the role of the public sector in the national economy, including developments in public expenditures and revenues, domestic debt, privatisation, and the budget system. Agriculture, industry, and services are analysed in dedicated sections; agriculture includes production structure, support policies, and alignment with the EU’s Common Agricultural Policy, while services include trade, transport, communication, construction/contracting, and tourism sub-sectors. Finally, the course reviews Turkey’s financial structure (the Central Bank and banking sector), economic crises and stabilisation measures, and then focuses on the balance of payments, current account and foreign trade developments, external debt, and the foreign exchange market.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:



Knowledge *(Described as Theoritical and/or Factual Knowledge.)*
1) Defines and interprets key macroeconomic indicators of the Turkish economy (GDP, growth, inflation, unemployment, current account, debt metrics).
2) Analyses the role of the public sector in Türkiye through public revenues/expenditures, budgeting, and debt dynamics.
3) Evaluates the structure and transformation of agriculture, industry, and services using sectoral evidence.
4) Explains the linkages among foreign trade, balance of payments items, current account dynamics, capital flows, and the exchange rate market.
5) Discusses Türkiye–EU economic relations (Customs Union, alignment/common policies, trade and competition dimensions) and their implications for the Turkish economy.
Skills *(Describe as Cognitive and/or Practical Skills.)*
Competences *(Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)*

Weekly Course Schedule

Week	Subject	Materials Sharing *
		Related Preparation	Further Study
1)	Introduction; core features of the Turkish economy, geography/natural resources, and an introduction to demographic indicators.
2)	Labour market and social security; savings and regional development; Türkiye’s position in the world economy (indices/indicators).
3)	National income and growth: GDP and growth by periods; introduction to sectoral growth dynamics.
4)	Income distribution and inequality measures; poverty in Türkiye (absolute/relative) and key indicators.
5)	Public economics: size of the public sector; public expenditures and revenues; tax burden and budget developments.
6)	Debt and privatisation: domestic debt/management; scope and practices of privatisation; introduction to local administrations.
7)	Key sectors I (Agriculture): functions/features; production structure; agricultural supports and alignment with the EU Common Agricultural Policy.
8)	Midterm Exam
9)	Key sectors II (Industry): industrial development, structural change, the role of industry and its main challenges.
10)	Key sectors III (Services): scope of services; sub-sectors of trade, transport, communication, construction, and tourism.
11)	Financial structure and crises: the Central Bank and banking; crises and stabilisation policies/programmes.
12)	Introduction and historical framework of Türkiye–EU relations: overview; the association relationship and key phases towards the Customs Union (preparatory–transitional–final stage).
13)	From association to candidacy: discussions around full membership application; candidacy and the logic of EU progress reports.
14)	Negotiation process: start of accession negotiations; Negotiation Framework and core pillars; institutional set-up (EU Secretariat / EU Ministry).

*These fields provides students with course materials for their pre- and further study before and after the course delivered.

DERS ÖĞRENME ÇIKTILARI - PROGRAM ÖĞRENME ÇIKTILARI İLİŞKİSİ

Contribution of The Course Unit To The Programme Learning Outcomes

Ders Öğrenme Çıktıları (DÖÇ)	1	2	3	4	5
Program Öğrenme Çıktıları (PÖÇ)
1) It explains fundamental concepts in mathematics, statistics, and probability; and applies this knowledge to data analysis, modeling, and interpretation of results.
2) It explains the principles of algorithm design and develops software for solving problems using at least one programming language.
3) It compares machine learning and data mining algorithms, selects the appropriate method, and applies it to real data.
4) Big data platforms utilize distributed systems and cloud computing architectures to perform data processing operations.
5) They apply natural language processing techniques to text data and develop basic NLP-based applications.
6) It analyzes different data sources, transforms them into meaningful outputs, and presents them using appropriate visualization tools.
7) It creates data-driven decision models using decision support systems.
8) It develops optimization models and produces solutions for industrial and sectoral problems.
9) In professional practice, we operate within the framework of ethical principles, data security, and social responsibility.
10) They keep up with current technological developments in their field, actively participate in teamwork, and develop a lifelong learning awareness.

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

Level of Contribution of the Course to PLOs

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Programme Learning Outcomes	Contribution Level (from 1 to 5)
1)	It explains fundamental concepts in mathematics, statistics, and probability; and applies this knowledge to data analysis, modeling, and interpretation of results.
2)	It explains the principles of algorithm design and develops software for solving problems using at least one programming language.
3)	It compares machine learning and data mining algorithms, selects the appropriate method, and applies it to real data.
4)	Big data platforms utilize distributed systems and cloud computing architectures to perform data processing operations.
5)	They apply natural language processing techniques to text data and develop basic NLP-based applications.
6)	It analyzes different data sources, transforms them into meaningful outputs, and presents them using appropriate visualization tools.
7)	It creates data-driven decision models using decision support systems.
8)	It develops optimization models and produces solutions for industrial and sectoral problems.
9)	In professional practice, we operate within the framework of ethical principles, data security, and social responsibility.
10)	They keep up with current technological developments in their field, actively participate in teamwork, and develop a lifelong learning awareness.

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Teaching and Learning Methods defined at the Programme Level	Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Brain Storming
Questions Answers
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Aassessment and evaluation Methods defined at the Programme Level	Assessment and Evaluation Methods defined for the Course
Midterm
Final Exam
Quiz

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods	# of practice per semester	Level of Contribution
Quizzes	2	% 15.00
Midterms	1	% 35.00
Semester Final Exam	1	% 50.00
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities	# of Activities per semester	Duration (hour)	Total Workload
Course	13	3	39
Laboratory	0	0	0
Application	0	0	0
Special Course Internship (Work Placement)	0	0	0
Field Work	0	0	0
Study Hours Out of Class	13	3	39
Presentations / Seminar	0	0	0
Project	0	0	0
Homework Assignments	0	0	0
Total Workload of Teaching & Learning Activities	-	-	78
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities	# of Activities per semester	Duration (hour)	Total Workload
Quizzes	1	15	15
Midterms	1	30	30
Semester Final Exam	1	30	30
Total Workload of Assesment & Evaluation Activities	-	-	75
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities)			153
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h)			6

Course Notes / Textbooks:
References:	Telli, R. (2015). Türkiye ekonomisi ve Avrupa Birliği. Ekin Yayınları. Anadolu Üniversitesi. (2019). Türkiye ekonomisi. Açıköğretim Fakültesi Yayınları.(E-kitap) Denk, E. (2016). Türkiye–Avrupa Birliği ilişkileri. Millî Eğitim Bakanlığı Yayınları.