Basic Information
Course Name:
Principles of Microeconomics
Language of Instruction:
English
Instructor:
Dr. Öğr. Üyesi Melike ÇETİN
Course Objectives
This course aims to equip students with the fundamental principles and analytical tools of microeconomics. By covering economic decision-making processes, the supply-demand mechanism, elasticity, market efficiency, production costs, and different market structures (perfect competition, monopoly, monopolistic competition, oligopoly), the course develops students' competence in analysing market functioning and developing a critical perspective on economic phenomena.
Course Content
The course begins with the basic principles of economics and economic thinking, then examines interdependence and the gains from trade. The supply-demand mechanism, the concept of elasticity, and the effects of government policies on markets are covered. Market efficiency is analysed through the framework of consumer and producer surplus. After examining production costs and firm behaviour, perfect competition, monopoly, monopolistic competition, and oligopoly market structures are comparatively evaluated. The course concludes with markets for factors of production and the theory of consumer choice.
Course Books / Materials / Recommended Resources
* N. Gregory Mankiw, (2021) Principles of Microeconomics, Cengage Learning. * David Shapiro, Daniel MacDonald, Steven A. Greenlaw et al., (2022) Principles of Microeconomics, OpenStax (Rice University).* Karl E. Case, Ray C. Fair, Sharon E. Oster, (2019) Principles of Microeconomics, Global Edition, Pearson.* Stevenson, Betsey;Wolfers, Justin, (2019) Principles of Microeconomics, Worth Publishers.* Magnus Hoffmann; Martin Kolmar, (2022) Workbook for Principles of Microeconomics, Classroom companion.
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.