general background,
special background, specialised general knowledge, skills development

Correlation of the course with the Department’s subject

The Department of Economics aims to study and promote economic science. It offers all those theoretical and quantitative tools that allow the understanding of the economic environment based on two axes: The first concerns the operation of the financial system and therefore monitors the development of economic theories and models. The second is the scientifically correct positions and proposals for achieving certain objectives regarding the equitable and efficient organization of the economic system. This is directly related to the knowledge of probability and descriptive statistics methodologies, thus supporting inference about a population’s properties and presenting relevant data samples.

This course will develop students’ skills to solve problems, to use and process quantitative data and their analytical and inductive thinking ability.

·         Adapting to new situations

·         Decision-making

·          Production of free, creative and inductive thinking

WRITTEN EXAMS AT THE END OF THE SEMESTER

general background,
special background, specialised general knowledge, skills development

http://www.econ.duth.gr/undergraduate/lessons/b2.shtml

Consult Appendix A

·     Description of the level of learning outcomes for each qualifications cycle, according to the Qualifications Framework of the European Higher Education Area

·     Descriptors for Levels 6, 7 & 8 of the European Qualifications Framework for Lifelong Learning and Appendix B

·     Guidelines for writing Learning Outcomes

The course consists of two parts:

I.                     Introduction to Linear Algebra

II.                    Differential Calculus and Optimization of multivariable functions.

Emphasis is placed on understanding and use of mathematics in economic theory. Upon successful completion of the course the student / her will be able to:

ü  Understands concepts of economic theory using mathematical methods.

ü  To use mathematical methods in economics (modeling using these methods)

ü  To analyze and synthesize data.

ü  To use various ways of thinking (eg inductive, productive).

ü   To develop different problem solving strategies.

Adapting to new situations

Decision-making

Working independently

Team work

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Respect for difference and multiculturalism

Respect for the natural environment

Showing social, professional and ethical responsibility and sensitivity to gender issues

Criticism and self-criticism

Production of free, creative and inductive thinking

……

Others…

…….

·         Production of free, creative and inductive thinking

·          Analysis and synthesis of data and information

·         Decision-making

·         Working independently

The course consists of two parts:

I.                     Introduction to Linear Algebra. Economic applications

II.                    Differential Calculus and Optimization of multivariable functions. Economic applications

·         Support of the learning process via e-class

The manner and methods of teaching are described in detail.

Lectures, seminars, laboratory practice, fieldwork, study and analysis of bibliography, tutorials, placements, clinical practice, art workshop, interactive teaching, educational visits, project, essay writing, artistic creativity, etc.

The student’s study hours for each learning activity are given as well as the hours of non-directed study according to the principles of the ECTS

Description of the evaluation procedure

Language of evaluation, methods of evaluation, summative or conclusive, multiple choice questionnaires, short-answer questions, open-ended questions, problem solving, written work, essay/report, oral examination, public presentation, laboratory work, clinical examination of patient, art interpretation, other

Specifically-defined evaluation criteria are given, and if and where they are accessible to students.

·         Written examination (written examination includes questions of various types (multiple choice questionnaires, short-answer questions, open-ended questions, problem solving)

·

ü  Γ. Σαραφόπουλος, Ν. Μυλωνάς. Γραμμική Άλγεβρα, Βελτιστοποίηση και Δυναμική Ανάλυση για Οικονομολόγους. Εκδόσεις Τζιόλα, Θες/νίκη 2016

ü  Μ. Λουκάκης, Πρόσκληση στα μαθηματικά οικονομικών και διοικητικών επιστημών Τόμος Β΄. Εκδόσεις Σοφία, Θες/νίκη,2011

ü  Hoy Michael-Livernois John-McKenna Chris-Stengos Thanasis-Κυρίτσης Ιωάννης(επιμ.), Μαθηματικά οικονομικών επιστημών, Εκδόσεις Δαρδανός, Αθήνα, 2012

general background,
special background, specialised general knowledge, skills development

Consult Appendix A

·     Description of the level of learning outcomes for each qualifications cycle, according to the Qualifications Framework of the European Higher Education Area

·     Descriptors for Levels 6, 7 & 8 of the European Qualifications Framework for Lifelong Learning and Appendix B

·     Guidelines for writing Learning Outcomes

·         level of output

·         unemployment rate

·         employment levels

·         interest rates

·         inflation rate

·         growth

·         exchange rates

·         and the impact of fiscal and monetary policy.

Adapting to new situations

Decision-making

Working independently

Team work

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Respect for difference and multiculturalism

Respect for the natural environment

Showing social, professional and ethical responsibility and sensitivity to gender issues

Criticism and self-criticism

Production of free, creative and inductive thinking

……

Others…

…….

• Individual work

• Ability to analyze complex ideas

• Resolve complex issues through scientific debate

• Understand the operation of the economy as a complex system

• Introduction to macroeconomic theory

o Employment and unemployment

o Gross Domestic Product

o Inflation

o Circular flow

• Product and National Accounts

o Gross Domestic Product

o Measurement Methods GDP

o Gross National Product

o Net domestic product

o National income

• Product and aggregate demand – Keynesian Cross

o Potential product

o Total demand

o Demand Changes

o The multiplier

• Fiscal policy and Foreign Trade

o The Government Budget

o Public debt and deficit

o The public sector

o Taxes and Total Product

o Public Expenditure and Total Product

o The balanced budget multiplier

o External trade and income

o The open economy multiplier

• The Cobb-Douglas Production Function

o Marginal Product of Labour

o Marginal Product of Capital

o Factor of Production income

• IS-LM Curves

o Monetary Policy

o Fiscal Policy

o The Ricardian Equivalence

• Employment and Unemployment

o Measuring Unemployment

o Okun’s Law

o Inelastic real wages

• Money in the Economy

o o Properties and functions of money

o The multiplier of money

o Measurement of money

o The demand for money

o Quantity Theory of Money

• Inflation, expectations and credibility

o Money and Inflation

o Inflation and interest rates

o Inflation and unemployment

• Unemployment

o The labor market

o Natural unemployment rate

o Cyclical unemployment fluctuations

o The cost of unemployment

• Unemployment and Inflation

o The Phillips curve

o The cost of unemployment

o The Lucas Critique

• Exchange rates and balance of payments

o Foreign exchange market

o exchange rate regimes

o Balance of payments

o Fixed exchange rates

o Flexible exchange rates

• Economic cycles

o Theories of economic cycles

o Real economic cycles

• The main theories of Macroeconomics

o neoclassical

o monetarists

o Keynesians

• Lectures

The manner and methods of teaching are described in detail.

Lectures, seminars, laboratory practice, fieldwork, study and analysis of bibliography, tutorials, placements, clinical practice, art workshop, interactive teaching, educational visits, project, essay writing, artistic creativity, etc.

The student’s study hours for each learning activity are given as well as the hours of non-directed study according to the principles of the ECTS

Description of the evaluation procedure

Language of evaluation, methods of evaluation, summative or conclusive, multiple choice questionnaires, short-answer questions, open-ended questions, problem solving, written work, essay/report, oral examination, public presentation, laboratory work, clinical examination of patient, art interpretation, other

Specifically-defined evaluation criteria are given, and if and where they are accessible to students.

• Mid-term exams

• Exercises

• Quizzes

• Exams

general background,
special background, specialised general knowledge, skills development

Consult Appendix A

·     Description of the level of learning outcomes for each qualifications cycle, according to the Qualifications Framework of the European Higher Education Area

·     Descriptors for Levels 6, 7 & 8 of the European Qualifications Framework for Lifelong Learning and Appendix B

·     Guidelines for writing Learning Outcomes

After the end of the course the student should know the basic concepts of programming through a computer language. They should be able to analyse a computational problem and transform it to a computer function. They should be familiarized with various data structures and controlled input-output variables in the construction of a function.

Adapting to new situations

Decision-making

Working independently

Team work

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Respect for difference and multiculturalism

Respect for the natural environment

Showing social, professional and ethical responsibility and sensitivity to gender issues

Criticism and self-criticism

Production of free, creative and inductive thinking

……

Others…

…….

·         Search for, analysis and synthesis of data and information, with the use of the necessary technology

·         Working independently

The course aims to present the basic concepts of computer programming: constants and variables, mathematical and logical operators, functions and batch files, flow control. During the course various examples are presented for every subject.

·         Notes, slides, etc posted on e-class

The manner and methods of teaching are described in detail.

Lectures, seminars, laboratory practice, fieldwork, study and analysis of bibliography, tutorials, placements, clinical practice, art workshop, interactive teaching, educational visits, project, essay writing, artistic creativity, etc.

The student’s study hours for each learning activity are given as well as the hours of non-directed study according to the principles of the ECTS

Description of the evaluation procedure

Language of evaluation, methods of evaluation, summative or conclusive, multiple choice questionnaires, short-answer questions, open-ended questions, problem solving, written work, essay/report, oral examination, public presentation, laboratory work, clinical examination of patient, art interpretation, other

Specifically-defined evaluation criteria are given, and if and where they are accessible to students.

In class exam

·         Solution of exercises

·         Matlab 6.5, Παπαρρίζος Κωνσταντίνος

·         Μαθετε το Matlab 7, Hanselman and Littlefield, Εκδόσεις Κλειδάριθμος