The course deepens the study of markets by describing the operation of monopolistic and oligopolistic markets, focusing on the differences with respect to perfectly competitive markets. The basic models of oligopoly (Cournot, Bertrand, Stackelberg) are explained as well as the issues of collusion between firms in oligopolistic markets. This is followed by an introduction to game theory and its applications in Economics, where the concept of decisions in problems of strategic interactions is explained. In addition, decision problems under uncertainty or asymmetric information are approached as well as the role in markets of externalities and public goods.

A recent syllabus of the course (in greek) can be found here.

This course continues the analysis of the principles of microeconomic theory and is divided into three parts.  The first part studies individual behavior in the presence of uncertainty. The second part serves as an introduction to general equilibrium theory and its extensions, and discusses the theorems of welfare economics. The analysis covers both pure exchange economies and economies in which production is available and introduces the notion of the core of an economy. The third part focuses on problems of asymmetric information. First, there is a brief introduction of the basics of mechanism design, focusing mainly on the comprehension of the nature of principal-agent models and the revelation principle. This is followed by detailed analysis of adverse selection (with applications both on price discrimination and insurance markets), signaling (including the standard models of education as signaling mechanism and cheap talk), and moral hazard.

A recent syllabus of the course can be found here.

The course examines incentives for innovation, markets for innovation, technology transfers, diffusion of innovations and what drives innovation decisions with an emphasis on the ways intellectual property influences R&D. Particular focus is given on the microeconomic and macroeconomic effects of innovation and how these should affect the evaluation of future R&D projects.  The theoretical discussion is complemented with technical analysis that allows to measure innovation and its impact on several areas, as well as the potential diffusion of an innovation.

A recent syllabus of the course can be found here.

This is an advanced undergraduate core course in Microeconomics, for the students who follow the specialization on Economic Theory and Econometrics. The course begins with the analysis of markets in which there is no perfect competition. Monopolistic markets are analyzed, with an emphasis on the basic problems of price discrimination. The main oligopoly models (Cournot, Bertrand, Stackelberg, Hotelling) are explained and an introduction to the concept of product differentiation is provided. Next, the basic concepts of the general equilibrium model, in pure exchange problems, are presented. This is followed by an extensive introduction to game theory, covering static and dynamic games of complete information, presented mainly through applications related to economics. Finally, issues of asymmetric information are approached, and the problems of adverse selection, moral hazard and signaling are thoroughly analyzed.

A recent syllabus of the course (in greek) can be found here.

The main purpose of this course is to provide a solid background in microeconomic analysis and prepare students for research in economics. The first part of the course will provide a detailed presentation of rational choice theory and consumer behavior. The second part will offer a thorough introduction to game theory. The students should be familiar with basic calculus and constrained optimization. Specific mathematical tools will be revisited or introduced during the course, when appropriate.

A recent syllabus of the course can be found here.

This course continues the analysis of the principles of microeconomic theory and is divided into three parts.  The first part studies individual behavior in the presence of uncertainty. The second part serves as an introduction to general equilibrium theory and its extensions, and discusses the theorems of welfare economics. The analysis covers both pure exchange economies and economies in which production is available and introduces the notion of the core of an economy. The third part focuses on problems of asymmetric information. First, there is a brief introduction of the basics of mechanism design, focusing mainly on the comprehension of the nature of principal-agent models and the revelation principle. This is followed by detailed analysis of adverse selection (with applications both on price discrimination and insurance markets), signaling (including the standard models of education as signaling mechanism and cheap talk), and moral hazard.

A recent syllabus of the course can be found here.

The course examines incentives for innovation, markets for innovation, technology transfers, diffusion of innovations and what drives innovation decisions with an emphasis on the ways intellectual property influences R&D. Particular focus is given on the microeconomic and macroeconomic effects of innovation and how these should affect the evaluation of future R&D projects.  The theoretical discussion is complemented with technical analysis that allows to measure innovation and its impact on several areas, as well as the potential diffusion of an innovation.

A recent syllabus of the course can be found here.

This was an advanced undergraduate core course in Microeconomics. Due to the restructuring of the bachelor program at UCY, it has been replaced by OIK251 and OIK261.

An indicative syllabus of the course (in greek) can be found here.

This is an advanced undergraduate course of industrial organization. It covers problems of strategic interactions between firms in imperfect markets, as well as strategies that firms employ in order to improve their position within such markets. The main topics of study are contractual relations between firms (mergers, acquisitions etc.), non-price competition (advertising, R&D etc.) and price discrimination in monopolistic markets.

This is an advanced level undergraduate course. Industrial organization focuses on the study of imperfectly competitive markets in which firms possess market power. The aim of the course is to provide a systematic analysis of models that capture different aspects of anti-competitive behavior, such as collusion, abuse of market power etc., as well as the strategic interactions between firms in oligopolistic markets. 

The course aims at providing the students with the basic tools for modeling and analyzing situations that involve uncertainty and will consider applications in various fields. The course develops a rigorous analysis of finite probability models and provide an introduction to infinite models. The course covers the following topics: axioms of probability, conditional probability and independence, random variables, random vectors, probability distributions, properties of expectation and limit theorems. The lectures follow closely the textbook "A First Course in Probability", by Sheldon Ross.

This is the standard Micro I Graduate course, willing to provide to the student a solid knowledge of the basics of microeconomic theory. It is basically inspired by the textbook "Microeconomic Theory" of Mas-Colell, Whinston and Green (1995) and deals with the following topics:

1) Preferences and Utility Functions.

2) Classical Demand Theory: The Competitive Demand.

3) Aggregate Demand.

4) Production Choice.

5) Choice Under Uncertainty.

6) Competitive markets.

A description of the course can be found here. This is the previous webpage of the course.

Other useful links: Lecture notes in Microeconomic Theory, by Ariel Rubinstein.

A description of the course can be found here.

This is a first year undergraduate course, willing to provide to the student necessary quantitative instruments, for the analysis of economic problems. It deals with the theory of functions of one variable and focuses on the following five topics:

1) Elementary properties of functions, like invertibility, periodicity, monotonicity, symmetries.

2) Continuity, limits, asymptotes, existence of maxima y minima.

3) Derivatives 1: calculation and applications in the study of monotonicity.

4) Derivatives 2: using the concept of derivatives for the calculation of limits, for local approximation of functions, to characterize concavity or convexity of a function and for a first study of demand, cost and benefit functions.

5) Integration: Concept of primitive function, calculation of integrals, introduction to the concept of area and integral, calculation of areas and improper integrals.

A description of the course can be found here (in spanish).

And a video for those who like music more than maths.

Another first year undergraduate course, covering more topics useful for the mathematical analysis of economic problems. It contains an introduction to linear algebra and optimization, as well as an introduction to multivariable functions. The following topics are covered:

1) Linear Algebra: Elementary properties of matrices, determinants and systems of equations.

2) Multivariate functions: Continuity, partial derivatives, differentiable functions, characterization of convexity, implicit derivation.

3) Optimization: Relatives extremes, conditional extremes, first and second order conditions, comparative statics and applications in economics models.

A description of the course can be found here (in spanish).