Teaching
Courses in economics, statistics, and political economy, taught across several institutions in Istanbul.
My approach to teaching is connected to my research on social capital, institutional trust, and the political economy of development in the MENA region. Also, having studied HRM as a major, I treat the courses I teach in mathematics and statistics not as technical exercises, but as the essential methodological tools that allow students to evaluate real world social and economic data. My goal is to maintain a supportive classroom where data and mathematical logic help us better understand human behavior and institutions.
Considering working with me as a supervisor or research assistant? See Working With Me.
This course introduces theories of economic growth and development, exploring long run determinants through analytical models, empirical applications, and real world examples. Through empirical evidence, case studies, and critical reflections on multimedia resources like TED Talks, students diagnose root causes of development challenges and evaluate reform strategies.
The goal of this course is to provide the basic mathematical tools (e.g., algebra, functions, finance, matrices) and foundations for undergraduate students of social sciences (e.g., Political Science, Business Administration, Economics, and International Finance) at an introductory level.
The goal of this course is to provide students with a strong mathematical foundation, extend their knowledge and skills in mathematics, and prepare them for more advanced studies in the subject. Throughout the course, students are introduced to topics including limits, differentiation, integration, multivariable calculus, and their applications.
Statistics are more than numbers. As a field, it involves data collection, analysis, and interpretation, providing a structured approach to understanding information in different areas, such as the social and behavioral sciences. This course introduces students to statistical concepts and their application in social sciences, with an emphasis on both theoretical foundations and practical data analysis using SPSS.
The course is designed for students from diverse disciplines, including business administration, logistics, finance, and social sciences. It includes both Excel and SPSS to prepare students for real world data tasks and introduces specialized statistical software used in research and industry.
This course focused on the concepts of innovation and entrepreneurship. Students learned the foundational mechanics of corporate and individual innovation, examining how entrepreneurial strategies drive economic transformation and market competitiveness.
This introductory course aims to develop an understanding of the basic aggregate macroeconomic variables such as national income, economic growth, productivity, monetary and fiscal policies, unemployment, inflation, and economic fluctuations.
This course aims to: introduce the measurement of key indicators such as aggregate output, inflation, unemployment, and the current account deficit; demonstrate the insights conveyed by various economic schools of thought; promote students to read, contemplate, and discuss pieces from the related literature; and encourage students to convey their arguments related to the aggregate economy through written assignments.
In this course, the different aspects and dimensions of globalization (economic, social, and political) are presented, analyzed, and discussed. In particular, the course aims at providing students with the conceptual and analytical tools necessary to comprehend the different faces that globalization has and how they affect domestic politics and decisions.