The course examines the causes and consequences of firms’ strategic behaviour under situations in which the assumptions of perfect competition do not hold.  The principle objective of the course is to introduce students to the basic concepts of industrial organization and help them understand how industries function, and how firms interact within an industry. In addition, the course investigates: how firms acquire market power or the ability to affect the price of their product, the strategic behaviour of firms that possess market power, the outcomes of policy interventions in these markets, and topics relating to collusions and horizontal mergers. An equally important objective of the course is to introduce students to the basic concepts of game theory and to the basic microeconomics models used to analyze firms’ strategic behavior in oligopolistic markets, so that students deveop the ability to use well-known methodological tools to analyse oligopolistic markets and predict market outcomes.

Upon successful completion of the course, the students are able to:

• understand the basic concepts and the central questions in the field of industrial organization.
• understand how firms interact in non-competitive markets.
• understand the basic concepts of game theory and the basic microeconomic models used in industrial organization.
• use basic methodological tools of microeconomics to solve for the “equilibrium” in oligopolistic markets and markets with price discrimination.

develop the ability to use strategic thinking to predict market outcomes

After successfully completing the course, attendees will be able to:

• have a sound overview of the current status and perspectives of vegetable production in Greece and at global level, the nutritional value, and the economic aspects of producing vegetables both in open field and in greenhouse, as well as their marketing,
• select the most appropriate crops and cropping systems for a particular cultivation site,
• understand the major interactions between vegetable production, root and air environment, including climatic conditions,
• advise growers about the most appropriate cropping practices and new technological developments in the sector of vegetable production and marketing,
• understand the different links of the vegetable supply chain after harvesting, including harvesting technologies and their economics, package, transport, post-harvest storage and marketing.
• Apply good agricultural practices based on integrated crop management in the vegetable production sector.
• Support as advisors or inspectors certification procedures in vegetable production enterprises
• Compile technical studies on vegetable production
• Support research projects related to the vegetable supply chain.

Establish and manage a vegetable production or marketing enterprise.

Τhe lesson aims at the familiarization of students with the concepts, methodologies and practice of the diffusion of innovations (knowledge and know-how) in agriculture (Agricultural Extension).

By successfully completing the course students will be able to:

• Describe, distinguish and explain the fundamental concepts, theories/approaches and (communication) methodologies of Agricultural Extension.
• Select and justify the appropriate (communication) techniques and aides which under certain circumstances will secure the success of a given Agricultural Extension programme.
• Develop appropriate (short- and medium-term) objectives, the (work) plan and the evaluation of an Agricultural Extension programme.

Cooperate with peers to collect appropriate materials so as to put together and present a piece of work related to the course contents/interests.

The course Public Economics investigates the role of the public sector in the economic arena. It examines and analyzes in depth the interventions of the state in the operation of national economies and, in particular, taxation and public spending.

By the end of this course the students will have sufficient knowledge and economic understanding of the major issues concerning taxation and public spending. They will be able to explain why government intervention is needed, how it influences the behavior of the private sector and what the welfare effects of such influences are.

Furthermore, they will be able to express themselves in a professional manner on contemporary issues regarding state intervention, to use efficiently the acquired knowledge and understanding in order to support their view on specific aspects of taxation and public spending issues, to employ the acquired tools of economic analysis in the process of policy evaluation (e.g., public goods, externalities, income distribution, etc.). Furthermore, given the availability of statistical data bases concerning taxation and public spending, the students will be able to perform basic statistical and econometric analysis and thus provide empirical evidence on the issues that they investigate.

Upon successful completion of the course the student will be able to:

• Understand the meaning and characteristics of an intelligent system,
• Understand the concept of an intelligent training system,
• Understand and recognize the differences between OLTP Databases and Data Warehouses and create Data Warehouses according to the steps of the ETL (Extract, Transform and Load) process.
• Diagnose problems that have occurred as a result of the data integration and transformation.
• Create well structured dimension tables and fact tables and use them to create star and snowflake schemata.
• Distinguish and choose the most appropriate method for knowledge extraction through a large number of data,
• Acquire the necessary skills to exploit ready-made tools for data mining , in order to develop an intelligent system,

Combine results of classification, clustering and association rules and will be able to end up with the production of new knowledge

The aim of the course is to offer the students mathematical knowledge, not taught in the general Mathematics courses of the first two semesters, with a special emphasis on economic analysis and agricultural economics. Students will be taught and learn applications of these methods both in exploring theory and developing practice, as well as in solving specific financial problems faced by businesses or policy-making. Students are expected to understand the necessity of the previous mathematical knowledge they have acquired and which they will practice again, and they will be able to judge and decide what specific mathematical methods and tools taught in this course are suitable for solving specific problems. Application of the methods will be assisted with exercises and examples.

Applications of these mathematical methods are expected to:

• improve the student's perception of theoretical and practical problems as well as their judgment for solving optimization problems with applications especially in agricultural economics.

• being able to communicate information, results and solutions based on the application of appropriate mathematical optimization methods (maximization / minimization problems) to both specialized and non-specialized audiences. • In addition, to acquire the necessary basic knowledge in mathematical optimization that will undoubtedly be needed by those who decide to continue with postgraduate / doctoral studies and research.