Basic Information
Course Name:
Principles of Macroeconomics
Language of Instruction:
English
Instructor:
Dr. Öğr. Üyesi Melike ÇETİN
Course Objectives
This course aims to equip students with fundamental macroeconomic concepts and tools. By covering national income, cost of living, economic growth, saving and investment, the financial system, unemployment, the monetary system, inflation, open economy, aggregate demand and supply analysis, and the effects of monetary and fiscal policies on the economy, the course develops students' competence in analysing and interpreting macroeconomic phenomena.
Course Content
The course begins with measuring national income and the cost of living, then covers production, economic growth, saving, investment, and the financial system. After examining unemployment and the monetary system, money growth and inflation are discussed. Open-economy macroeconomics is explored through basic concepts and theories. Within the framework of aggregate demand and supply analysis, the effects of monetary and fiscal policies on aggregate demand are examined. The course concludes with the short-run trade-off between inflation and unemployment and debates over macroeconomic policy.
Course Books / Materials / Recommended Resources
* N. Gregory Mankiw, (2021) Brief Principles of Macroeconomics, Cengage Learning. * N. Gregory Mankiw, (2017) Principles of Macroeconomics, Cengage Learning.* William J. Baumol and Alan S. Blinder, (2020) Macroeconomics: Principles and Policy, Brooks/Cole Cengage Learning.* Lee Coppock and Dirk Mateer Principles of Macroeconomics, (2023), W. W. Norton & Company * David Shapiro, Daniel MacDonald, Steven A. Greenlaw et al., (2022), Principles of Macroeconomics, OpenStax (Rice University).
Academic Integrity and Artificial Intelligence
Violations of scholastic honesty include, but are not limited to cheating, plagiarizing, fabricating information or citations, facilitating acts of dishonesty by others, having unauthorized possession of examinations, submitting work of another person or work previously used without informing the instructor, or tampering with the academic work of other students. Any form of scholastic dishonesty is a serious academic violation and will result in disciplinary action. Regarding the use of generative artificial intelligence (GenAI) tools in this course, the provisions of the 'Ethical Guide on the Use of Generative Artificial Intelligence in Scientific Research and Publication Activities of Higher Education Institutions (2024)' published by the Council of Higher Education (YÖK) shall apply.