Statistics I


  • GENERAL
SCHOOL Faculty of Social, Political and Economic Sciences
ACADEMIC UNIT Department of Economics
LEVEL OF STUDIES Undergraduate
COURSE CODE ΝΚ22 SEMESTER 2nd
COURSE TITLE Statistics I
INDEPENDENT TEACHING ACTIVITIES
if credits are awarded for separate components of the course, e.g. lectures, laboratory exercises, etc. If the credits are awarded for the whole of the course, give the weekly teaching hours and the total credits
WEEKLY TEACHING HOURS CREDITS
4 6
 
 
Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d).
COURSE TYPE

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

Core
PREREQUISITE COURSES:

 

LANGUAGE OF INSTRUCTION and EXAMINATIONS: HELLENIC
IS THE COURSE OFFERED TO ERASMUS STUDENTS YES (ESSAY IN ENGLISH)
COURSE WEBSITE (URL) http://www.econ.duth.gr/undergraduate/lessons/b3.shtml

 

  • LEARNING OUTCOMES
Learning outcomes
 
The course is to understand the basic concepts of Probabilities, the most important distributions of random variables and their parameters and the use of basic descriptive statistics tools.

 

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.

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

·         Adapting to new situations

·         Decision-making

·          Production of free, creative and inductive thinking

  • SYLLABUS
Elements of combinatorics theory
Basic Probability concepts
Probability distributions of random variables – Random variables probability distribution parameters
Special discrete distributions
Special continuous distributions
Probability distributions of multidimensional random variables
Convergence of sequences of random variables
Descriptive statistics
  • TEACHING and LEARNING METHODS – EVALUATION
DELIVERY Face-to-face lectures
USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY

 

Utilization of eclass.duth.gr
TEACHING METHODS

 

Activity Semester workload
Lectures 52 hours
Study 98 hours
Course total 150 hours
STUDENT PERFORMANCE EVALUATION  

WRITTEN EXAMS AT THE END OF THE SEMESTER

  • ATTACHED BIBLIOGRAPHY
1 ΣΤΑΤΙΣΤΙΚΗ ΓΙΑ ΟΙΚΟΝΟΜΙΑ ΚΑΙ ΔΙΟΙΚΗΣΗ ΕΠΙΧΕΙΡΗΣΕΩΝ GERALD KELLER ΕΠΙΚΕΝΤΡΟ Α.Ε. 2010
2 ΣΤΑΤΙΣΤΙΚΗ ΤΟΜΟΣ Α΄  ΜΕΘΟΔΟΙ-ΕΦΑΡΜΟΓΕΣ ΧΡΥΣΟΥΛΑ ΖΑΧΑΡΟΠΟΥΛΟΥ ΣΟΦΙΑ Α.Ε.Ε.Ε. 2012
3 ΣΤΑΤΙΣΤΙΚΗ ΤΩΝ ΕΠΙΧΕΙΡΗΣΕΩΝ Douglas Downing, Jeffrey Clark ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ 2010
4 ΣΤΑΤΙΣΤΙΚΗ ΓΙΑ ΟΙΚΟΝΟΜΟΛΟΓΟΥΣ ΔΗΜΗΤΡΗΣ ΧΑΤΖΗΝΙΚΟΛΑΟΥ ΚΙΟΡΟΓΛΟΥ ΛΑΜΠΡΙΝΗ 2002

 

Mathematics II


  • GENERAL
SCHOOL Faculty of Social, Political and Economic Sciences
ACADEMIC UNIT Department of Economics
LEVEL OF STUDIES Undergraduate
COURSE CODE NK23 SEMESTER 2
COURSE TITLE Mathematics II
INDEPENDENT TEACHING ACTIVITIES
if credits are awarded for separate components of the course, e.g. lectures, laboratory exercises, etc. If the credits are awarded for the whole of the course, give the weekly teaching hours and the total credits
WEEKLY TEACHING HOURS CREDITS
Lectures 4 6
 
 
Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d).
COURSE TYPE

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

Core
PREREQUISITE COURSES:

 

LANGUAGE OF INSTRUCTION and EXAMINATIONS: Greek
IS THE COURSE OFFERED TO ERASMUS STUDENTS No
COURSE WEBSITE (URL)  

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

 

 

 

  • LEARNING OUTCOMES
Learning outcomes
The course learning outcomes, specific knowledge, skills and competences of an appropriate level, which the students will acquire with the successful completion of the course are described.

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.

General Competences
Taking into consideration the general competences that the degree-holder must acquire (as these appear in the Diploma Supplement and appear below), at which of the following does the course aim?
Search for, analysis and synthesis of data and information, with the use of the necessary technology

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

Project planning and management

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

 

  • SYLLABUS
 

The course consists of two parts:

I.                     Introduction to Linear Algebra. Economic applications

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

 

  • TEACHING and LEARNING METHODS – EVALUATION
DELIVERY
Face-to-face, Distance learning, etc.
 Lectures in auditorium

 

USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
Use of ICT in teaching, laboratory education, communication with students
·         Use of mathematical package (Mathematica)

·         Support of the learning process via e-class

 

TEACHING METHODS

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

Activity Semester workload
Lectures 52
Study 98
Course total 150
STUDENT PERFORMANCE EVALUATION

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)

 

·

 

  • ATTACHED BIBLIOGRAPHY
 

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

 

Macroeconomics I


  • GENERAL
SCHOOL POLITICAL, SOCIAL AND ECONOMIC SCIENCES
ACADEMIC UNIT DEPARTMENT OF ECONOMICS
LEVEL OF STUDIES UNDERGRADUATE
COURSE CODE ΝΚ31 SEMESTER 2
COURSE TITLE MACROECONOMICS I
INDEPENDENT TEACHING ACTIVITIES
if credits are awarded for separate components of the course, e.g. lectures, laboratory exercises, etc. If the credits are awarded for the whole of the course, give the weekly teaching hours and the total credits
WEEKLY TEACHING HOURS CREDITS
LECTURES 4 6
Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d).
COURSE TYPE

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

SPECIALIZATION
PREREQUISITE COURSES:

 

LANGUAGE OF INSTRUCTION and EXAMINATIONS: GREEK
IS THE COURSE OFFERED TO ERASMUS STUDENTS YES
COURSE WEBSITE (URL) http://www.econ.duth.gr/undergraduate/lessons/b1.shtml

 

 

  • LEARNING OUTCOMES
Learning outcomes
The course learning outcomes, specific knowledge, skills and competences of an appropriate level, which the students will acquire with the successful completion of the course are described.

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 presents all the basics of macroeconomic theory which contribute to the understanding of macroeconomic issues. In the context of the course we attempt to explain the:

·         level of output

·         unemployment rate

·         employment levels

·         interest rates

·         inflation rate

·         growth

·         exchange rates

·         and the impact of fiscal and monetary policy.

 

 

 

 

 

 

 

 

 

 

General Competences
Taking into consideration the general competences that the degree-holder must acquire (as these appear in the Diploma Supplement and appear below), at which of the following does the course aim?
Search for, analysis and synthesis of data and information, with the use of the necessary technology

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

Project planning and management

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

 

 

 

 

 

 

 

 

 

 

  • SYLLABUS
 

• 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

 

 

 

 

 

 

  • TEACHING and LEARNING METHODS – EVALUATION
DELIVERY
Face-to-face, Distance learning, etc.
  • Lectures

 

USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
Use of ICT in teaching, laboratory education, communication with students
•                     Eclass

 

TEACHING METHODS

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

Activity Semester workload
Lectures 50
Study 70
Assignments 30
 
 
 
Course total 150
STUDENT PERFORMANCE EVALUATION

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

 

 

 

 

 

 

 

 

 

 

 

  • ATTACHED BIBLIOGRAPHY
• J.E. Stiglitz and C.E. Walsh, Principles of Macroeconomics, Papazissis.

 

 

Informatics II


  • GENERAL
SCHOOL Faculty of Social, Political and Economic Sciences
ACADEMIC UNIT Department of Economics
LEVEL OF STUDIES Undergraduate
COURSE CODE NK25 SEMESTER 2nd
COURSE TITLE Informatics 2
INDEPENDENT TEACHING ACTIVITIES
if credits are awarded for separate components of the course, e.g. lectures, laboratory exercises, etc. If the credits are awarded for the whole of the course, give the weekly teaching hours and the total credits
WEEKLY TEACHING HOURS CREDITS
Lectures 4 6
 
 
Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d).
COURSE TYPE

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

General Background
PREREQUISITE COURSES:

 

LANGUAGE OF INSTRUCTION and EXAMINATIONS: Greek
IS THE COURSE OFFERED TO ERASMUS STUDENTS Yes
COURSE WEBSITE (URL) http://www.econ.duth.gr/undergraduate/lessons/b5.shtml

 

 

  • LEARNING OUTCOMES
Learning outcomes
The course learning outcomes, specific knowledge, skills and competences of an appropriate level, which the students will acquire with the successful completion of the course are described.

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.

 

General Competences
Taking into consideration the general competences that the degree-holder must acquire (as these appear in the Diploma Supplement and appear below), at which of the following does the course aim?
Search for, analysis and synthesis of data and information, with the use of the necessary technology

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

Project planning and management

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

 

  • SYLLABUS
 

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.

 

  • TEACHING and LEARNING METHODS – EVALUATION
DELIVERY
Face-to-face, Distance learning, etc.
·         Class lectures

·         Notes, slides, etc posted on e-class

USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
Use of ICT in teaching, laboratory education, communication with students
·         Support of the learning process via e-class

 

TEACHING METHODS

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

Activity Semester workload
Lectures 50
Study 60
Exercises 40
Course total 150
STUDENT PERFORMANCE EVALUATION

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

 

 

 

 

 

 

 

 

 

 

  • ATTACHED BIBLIOGRAPHY
 

·         Matlab 6.5, Παπαρρίζος Κωνσταντίνος

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

 

Accounting II


In this course the discussion focuses on the advanced issues of financial accounting, while an introduction in IAS -IFRS and the new Greek accounting standards, is attempted. Below the outline of the course is presented analytically.

 

  1. INVENTORIES ACCOUNTING

1.1 Basic concepts

1.2 Perpetual inventory system

1.3 Periodic inventory system

1.4 Inventories evaluation

1.5 Accounting handling of inventories fair value according to IFRS and HAS(Hellenic Accounting Standards)

  1. NON CURRENT ASSETS (FIXED ASSETS)

2.1 Fixed assets categories

2.2 The concept of  Depreciation  – Depreciation methods

2.3 Accounting handling of Fixed assets fair value, according to IFRS and HAS(Hellenic Accounting Standards)

  1. RECEIVABLES
  2. INVESTMENTS – CASH ITEMS AND CASH EQUIVALENT
  3. GOODWILL
  4. OWNERS’ EQUITY
  5. LIABILITIES

7.1 Long term liabilities

7.2 Current liabilities

8 PROVISIONS

  1. DEFERED TAXES (IFRS – HAS)
  2. STATEMENT OF OWNERS’ EQUITY
  3. CASH FLOW STATEMENT
  4. ACCOUNTS EXCHANGE
  5. An overview in the differences between IAS -IFRS and Greek Accounting Standard.