ECON 2101 - Microeconomic Theory I

Basic Information

Course Code:

ECON 2101

Course Name:

Microeconomic Theory I

Language of Instruction:

English

Course Type:

Class

Course Level:

Bachelor

ECTS:

7.00

Instructor:

Dr. Öğr. Üyesi Peyman UYSAL

Course Objectives

The aim of this course is to provide students with the fundamental concepts and analytical tools of microeconomic theory and enable them to explain the economic decision-making processes of consumers and firms and analyze the functioning of market mechanisms. The course focuses on consumer preferences, utility maximization, demand, production technology, costs, profit maximization, and firm behavior in perfectly competitive markets.

Course Content

Fundamental concepts of microeconomic analysis; supply, demand, and market equilibrium; consumer preferences and budget constraints; utility maximization; individual and market demand; income and substitution effects; production theory and technology; production in the short run and long run; cost theory; cost minimization; profit maximization; firm and industry supply; short-run and long-run equilibrium in perfectly competitive markets; and welfare analysis.

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Robert S. Pindyck & Daniel L. Rubinfeld, Microeconomics, Pearson, 9th Edition.Additional recommended resources:Hal R. Varian, Intermediate Microeconomics: A Modern Approach, W. W. Norton & Company, 9th Edition.Jeffrey M. Perloff, Microeconomics, Pearson.

Learning Outcomes

Code	Description
LO1	Explains the fundamental concepts of microeconomics and the functioning of market mechanisms.
LO2	Analyzes supply, demand, market equilibrium, and elasticity.
LO3	Analyzes consumer preferences, budget constraints, and utility maximization.
LO4	Evaluates firm decisions related to production, costs, and profit maximization.
LO5	Analyzes firm and market equilibrium in perfectly competitive markets from a welfare perspective.

Assessment

#	Assessment Type	Contribution (%)
1	Midterm Exam	%40
2	Final Exam	%60
TOTAL		%100

PO - LO Matrix

PO \ LO	LO1	LO2	LO3	LO4	LO5
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
PO-11
PO-12

1

Low Contribution

2

Medium Contribution

3

High Contribution

Teaching and Learning Methods

#	Method Name	Description	Tools
1	Lecture (expository teaching), interactive discussion	Listening and taking notes.	Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2	Controversial Course	Listening and comprehension, critical thinking	Standard classroom technologies, multimedia tools, projector, computer, overhead projector
3	Problem Solving	* Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.

Academic Integrity and Artificial Intelligence

Students are required to comply with the principles of academic integrity in all examinations, assignments, projects, and other academic work. Cheating, plagiarism, fabrication of data or sources, submitting another person's work as one's own, and any form of unauthorized assistance constitute violations of academic integrity. Regarding the use of generative artificial intelligence (GenAI) tools, 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.