International Trade of Agricultural Products


COURSE OUTLINE

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
STUDY LEVEL 7
COURSE CODE ECO0016 SEMESTER 9th
COURSE TITLE International Trade of Agricultural Products
INDEPENDENT TEACHING ACTIVITIES

 

TEACHING HOURS PER WEEK ECTS
Lectures 4 5
COURSE TYPE Specialization
PREREQUISITE COURSE(S):
LANGUAGE (TEACHING AND EXAMS) Greek
THE COURSE IS OFFERED TO ERASMUS STUDENTS Yes (in English)
COURSE WEBSITE (URL) http://www.agro.duth.gr/undergraduate/program/ECO0011.shtml

 

  1. TEACHING OUTCOMES
Teaching outcomes
This course enables the student to:

  • Demonstrate and understand the basic principles of international trade and become familiar with the traditional theory of international trade and the late evolutions.
  • Obtain a clear and concise picture of the concepts of trade protection
  • Comprehend the functions of international trade, the impacts of the economic union and the economic transformation of different countries.
General capabilities
  • Independent work
  • Literature search, data analysis and synthesis
  • Development of inductive reasoning

 

 

  1. COURSE CONTENT
Traditional theory of international trade, Absolute and comparative advantage, Labour productivity and comparative advantage, Terms of trade, Heckser-Ohlin theorem, Equational impacts of trade, Methods for trade policy, Posner-Vernon theorem, Protectionism in international trade, Post war institutional context of international trade, GΑΤΤ, Economic union, Economic union in Europe, China: economic development and westernism

 

  1. TEACHING AND LEARNING ASSESSMENT METHODS
DELIVERING METHOD In classroom
IT USE
  • Power point, videos
  •  e-class

 

TEACHING ORGANIZATION Activity Semester workload

 

Lectures 39
Laboratory courses 0
Written assignement 15
Independent study 71
Course total

(25-hour workload per credit unit)

 

125

STUDENT ASSESSMENT Written exams at the end of the semester both on theoretical and practical courses.
  1. PROPOSED LITERATURE
  • Paul Krugman and Maurice Obstfeld, Διεθνής Οικονομική: Θεωρία και Πολιτική, Νέα Αναθεωρημένη Έκδοση 2011, Εκδόσεις Κριτική AE, Κωδικός στον Εύδοξο: 7648537.

·       Γ.Μ Αγιομυργιανάκης, Μ. Βλάσσης, Η. Thompson, Διεθνείς Οικονομικές Σχέσεις – , Έκδοση 2006, Εκδόσεις Rosili ISBN 960-7745-16-7

 

ANNEX OF THE COURSE OUTLINE 

Alternative ways of examining a course in emergency situations

 

Teacher (full name): Christos Karelakis
Contact details: chkarel@agro.duth.gr
Supervisors: (1) No
Evaluation methods:(2) Written examination with distance through e-class and Microsoft Teams, provided that the integrity and reliability of the examination are ensured
Implementation Instructions: (3) The examination will be carried out via multiple choice questions in e-class and Microsoft Teams on the scheduled date.

A. Microsoft Teams

The Microsoft Teams link is created on the course page on the platform and exclusively in the institutional accounts of those who have registered for the course and have learned the terms of distance education.

Students must log in to the Microsoft Teams room through their institutional account, otherwise they will NOT be able to participate. They will be identified using their institutional account.

B. e-class

At the same time, they must log in to the e-class using their institutional account and go to the course page (prerequisite to have registered for the course)

https://eclass.duth.gr/courses/OPE01184/

The exam lasts 30 minutes and each student must answer 20 multiple choice questions, without a negative grade. Each of the questions is scored with 0.5.

 

 

Agro-economic and market research methods


COURSE OUTLINE

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
LEVEL OF STUDIES 7
COURSE CODE ECO0014 SEMESTER 8th  
COURSE TITLE Agro-economic and market research methods
TEACHING ACTIVITIES
If the ECTS Credits are distributed in distinct parts of the course e.g. lectures, labs etc. If the ECTS Credits are awarded to the whole course, then please indicate the teaching hours per week and the corresponding ECTS Credits.
TEACHING HOURS PER WEEK ECTS CREDITS
Lectures and Laboratory Exercises / Practice Exercises 5 5
 
 
Please, add lines if necessary. Teaching methods and organization of the course are described in section 4.
COURSE TYPE

Background, General Knowledge, Scientific Area, Skill Development

Scientific area, skill development
PREREQUISITES:

 

TEACHING & EXAMINATION LANGUAGE: Greek
COURSE OFFERED TO ERASMUS STUDENTS:
COURSE URL: https://eclass.duth.gr/courses/OPE01225/
  1. LEARNING OUTCOMES
Learning Outcomes
Please describe the learning outcomes of the course: Knowledge, skills and abilities acquired after the successful completion of the course.
The aim of the course if to provide students with knowledge of the basic concepts of agro-economic and market research. In particular, upon the completion of the course, students should be able to:

(a) Understand the differences among various research designs and be capable of choosing the most appropriate design in order to achieve the goals of their research.

(c) Analyze the data selection process and elaborate qualitative and quantitative research methods.

(d) Understand the differences among various statistical techniques used in marketing and economics and be able to apply them.

 

General Skills
Name the desirable general skills upon successful completion of the module
Search, analysis and synthesis of data and information,

ICT Use

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Project design and management

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive reasoning

Decision making

Autonomous work

Teamwork

Working in an interdisciplinary environment

Production of new research ideas

Project design and management

Critical thinking

Promoting free, creative and inductive reasoning

 

  1. COURSE CONTENT
  • Decision making, agro-economic research and marketing research.
  • Content and role of the agro-economic research and marketing research in managerial decision making – Agro-economic and marketing research process.
  • Research design and implementation. Types of research.
  • Secondary sources of data – Methods of collecting secondary data – Internal and external sources of secondary data.
  • Primary data – Methods of collecting primary data (survey methods)
  • Census – Sampling procedure – Sampling methods
  • Sample size – Sample selection.
  • Qualitative research methods.
  • Quantitative research – Questionnaire design.
  • The concept of measurement and scaling – Measurement levels – Types of attitude rating scales.
  • Reliability – Validity.
  • Data encoding. Marketing research methods.
  • Case studies.

 

  1. LEARNING & TEACHING METHODSEVALUATION
TEACHING METHOD
Face to face, Distance learning, etc.
In classroom (face to face)
USE OF INFORMATION & COMMUNICATIONS TECHNOLOGY (ICT)
Use of ICT in Teaching, in Laboratory Education, in Communication with students
e-class platform, e-media use, power point presentations
TEACHING ORGANIZATION

The ways and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographic research & analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

 

The supervised and unsupervised workload per activity is indicated here, so that total workload per semester complies to ECTS standards.

Activity Workload/semester
Lectures 45
Practice exercises 20
Team or individual projects in the classroom 25
Individual study 35
Course total 125
Student Evaluation

Description of the evaluation process

 

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Presentation in audience, Laboratory Report, Clinical examination of a patient, Artistic interpretation, Other/Others

 

Please indicate all relevant information about the course assessment and how students are informed 

 

Oral examination at the end of the semester

Individual or team projects

 

  1. SUGGESTED BIBLIOGRAPHY
·         Stathakopoulos V. Methods in Market Research. Stamouli Publications, 2011.

·         Daoutopoulos G. Methods in Social Research. Zigos Publications, 2005.

·         Siomkos G., Mavros D.A. Market Research. Stamouli Publications, 2008.

·         Saunders Μ., Lewis P., Thornhill A. Research Methods for Business and Economy. Editors: Tsoukatos E. Vrontis D. Disigma Publications, 2014.

 

 

ANNEX OF THE COURSE OUTLINE

Alternative ways of examining a course in emergency situations

Teacher (full name): Elena Raptou
Contact details: elenra@agro.duth.gr
Supervisors: (1) No
Evaluation methods: (2) Oral examination with distance learning methods, provided that the integrity and reliability of the examination are ensured.
Implementation Instructions: (3) The examinations will be carried out according to the examination program that will be announced by the secretariat of the Department

The examination in the course will be oral carried out using Skype for Business or Microsoft Teams. The oral examination in the course will be carried out in groups of 4 people (20 minutes per group) according to the order in which the Number of Student Record of the participants appear in the attached list (examination program).

The link of the Skype for Business or Microsoft Teams meeting will be sent to students via e-class, exclusively to the institutional accounts of those who have registered for the course and have learned the terms of distance teaching

Students will have to log in to the examination room through their institutional account, otherwise they will not be able to participate. They will also participate in the examination with a camera which they will have opened during the examination. Before the start of the exam, students will show their identity card to the camera, so that they can be identified

Each student should answer in 4 questions. Each of the questions is scored with 2.5 credits

 

 

Applied Econometrics


COURSE OUTLINE

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
LEVEL OF STUDIES 7
COURSE CODE ECO0012 SEMESTER 8th
COURSE TITLE APPLIED ECONOMETRICS
TEACHING ACTIVITIES
If the ECTS Credits are distributed in distinct parts of the course e.g. lectures, labs etc. If the ECTS Credits are awarded to the whole course, then please indicate the teaching hours per week and the corresponding ECTS Credits.
TEACHING HOURS PER WEEK ECTS CREDITS
Lectures and practice exercises course (3+2) 5
     
     
Please, add lines if necessary. Teaching methods and organization of the course are described in section 4.    
COURSE TYPE

Background, General Knowledge, Scientific Area, Skill Development

Specialization
PREREQUISITES:

 

TEACHING & EXAMINATION LANGUAGE: Greek
COURSE OFFERED TO ERASMUS STUDENTS: Yes (in English)
COURSE URL: https://eclass.duth.gr/courses/OPE01263/
  1. LEARNING OUTCOMES
Learning Outcomes
Please describe the learning outcomes of the course: Knowledge, skills and abilities acquired after the successful completion of the course.
Upon the completion of the course the students

·         will have acquired the basic knowledge to study the validity of the economic theory with the use of Statistics and Mathematics through the estimation and evaluation of economic models

General Skills
Name the desirable general skills upon successful completion of the module
Search, analysis and synthesis of data and information,

ICT Use

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Project design and management

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive reasoning

               Knowledge on Statistics, Economic Theory and Mathematics

•               Ability to implement theories on the survey of existing economic theories

•               Ability for analysis and Synthesis

  1. COURSE CONTENT
1.       General Concepts (Random variables, Expected value of a random variable Variance, Standard deviation of a random variable, covariance of two random variables, X,Y Expected value of a random variable, variance, standard deviation of a random variable.

2.       Useful distributions  (Normal distribution, , chi square _ distribution, Τ-distribution, F-distribution),

3.       Simple regression (Two variable model) (Economic Theory, Basic assumptions of the linear model Υ = β1 + β2Χ + e, Sample Regression,

4.       The method of ordinary least squares (application to the model: Υ = β1 + β2Χ + e), (Solution with sums, Matrix solution,

5.       Application of regression Variance-Covariance of random error, Attributes of b estimate),

6.       Hypothesis testing (t-ratio of b , The coefficient of determination r2 , Correlation coefficient r, Evaluation of the sub – sample),

7.       General Model Y = β Χ + β Χ +…+ β Χ + e (By the method of matrix-tables) (Presentation of the model Y = b X + b X +…+ b X + e, Appraisers fluctuations – covariance of rates, the coefficient of multiple determination R, Sums squares tabular assessment model, assessment of individual factors, Evaluation of the entire design),

8.       Resolving the three variables model Y = b + b X + b X + e checksum (Solving the three variables model, the coefficient of multiple determination R, the corrected coefficient multiple determination, and Some Simple Coefficient of determination, coefficient of determination Simple, Some factors identification, assessment of the variability of the disturbing term fluctuations b, b,

9.       Testing of Linear restrictions on some coefficients regression, the statistical relationship between F and the coefficient of determination R2,

10.   Violations of Linear Model assumptions (Multi collinearity, Testing the existence of multi collinearity, Estimation methods of models with multi – collinearity

11.   Autocorrelation, Autocorrelation of first order, Consequences of autocorrelation,

12.   Autocorrelation tests (Graphical depict of the residuals, Durbin-Watson Test, t-statistic test, h Durbin criterion), Test for autocorrelation of greater order ( Breusch-Godfrey Test, F-criterion test), Estimation methods of models with autocorrelation,

13.   Heteroscedasticity, Heteroscedasticity tests, (Spearman coefficient of correlation, Goldfeld-Quand criterion, White criterion), Estimation methods of models with heteroscedasticity.

  1. LEARNING & TEACHING METHODSEVALUATION
TEACHING METHOD
Face to face, Distance learning, etc.
Face to face, Distance Learning
USE OF INFORMATION & COMMUNICATIONS TECHNOLOGY (ICT)
Use of ICT in Teaching, in Laboratory Education, in Communication with students
§  Power point

§  eclass

TEACHING ORGANIZATION

The ways and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographic research & analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

 

The supervised and unsupervised workload per activity is indicated here, so that total workload per semester complies to ECTS standards.

Activity Workload/semester
Activity Semester workload
   
Lectures 39
Laboratory courses 26
Individual study 60
   
Course total 125
(25-hour workload per credit unit)  
Student Evaluation

Description of the evaluation process

 

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Presentation in audience, Laboratory Report, Clinical examination of a patient, Artistic interpretation, Other/Others

 

Please indicate all relevant information about the course assessment and how students are informed 

 

Written exams at the end of the semester both on theory and exercises

 

  1. SUGGESTED BIBLIOGRAPHY
               Maddala G.S. (2010). Introduction to Econometrics, 4th Edition Wiley-Blackwell, West Sussex, UK.

 

 

 

 

 

ANNEX OF THE COURSE OUTLINE

 

Alternative ways of examining a course in emergency situations

 

Teacher (full name): Eleni Zafeiriou
Contact details: ezafeir@agro.duth.gr
Supervisors: (1) Eleni Zafeiriou
Evaluation methods: (2) Final Exams written
Implementation Instructions: (3) The subjects of the exams will be provided through a file that will be uploaded in the field projects for a specific time period according to the program of exams.

The answers by the students will be provided by the students through multimedia files.

Each exercise will be graded while the exam contribution will be 100%,

The exam is simultaneous for all the students

The participation in the exams can be done with the use of their institutional account.

 

 

Linear Programming


COURSE OUTLINE

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
LEVEL OF STUDIES 7
COURSE CODE ECO1008 SEMESTER 8th
COURSE TITLE LINEAR PROGRAMMING
TEACHING ACTIVITIES
If the ECTS Credits are distributed in distinct parts of the course e.g. lectures, labs etc. If the ECTS Credits are awarded to the whole course, then please indicate the teaching hours per week and the corresponding ECTS Credits.
TEACHING HOURS PER WEEK ECTS CREDITS
Lectures and exercises  (3+2) 5
     
     
Please, add lines if necessary. Teaching methods and organization of the course are described in section 4.    
COURSE TYPE

Background, General Knowledge, Scientific Area, Skill Development

Specialization
PREREQUISITES:

 

TEACHING & EXAMINATION LANGUAGE: Greek
COURSE OFFERED TO ERASMUS STUDENTS: Yes (in English)
COURSE URL: https://eclass.duth.gr/courses/OPE01249/
  1. LEARNING OUTCOMES
Learning Outcomes
Please describe the learning outcomes of the course: Knowledge, skills and abilities acquired after the successful completion of the course.
Upon the completion of the course the students;

·        should become capable of implementing Simplex method on agro – economic problems

General Skills
Name the desirable general skills upon successful completion of the module
Search, analysis and synthesis of data and information,

ICT Use

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Project design and management

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive reasoning

  • Knowledge in Mathematics
  • Analytical and synthetically thinking

 

  1. COURSE CONTENT
1.       What is Linear Programming? A Preview,

2.       Types of Linear Problems

3.       The Linear Programming Model (Analytical, Matrix form)

4.       Transformation to a typical linear Programming problem, Core concepts (Feasible Area, Feasible Solution)

5.       Graphical Solution of Linear Programming Problem,

6.       Simplex Algorithm,

7.       Solution with Simplex,

8.       Normal Form, (M Form)

9.       Vogel solution

10.   Hungarian Method solution

11.   Optimum solution

12.   Sensitivity Analysis

13.   Duality

  1. LEARNING & TEACHING METHODSEVALUATION
TEACHING METHOD
Face to face, Distance learning, etc.
Face to face, Distance Learning with Microsoft Teams Platform
USE OF INFORMATION & COMMUNICATIONS TECHNOLOGY (ICT)
Use of ICT in Teaching, in Laboratory Education, in Communication with students
§  Power point

§  e-class

TEACHING ORGANIZATION

The ways and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographic research & analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

 

The supervised and unsupervised workload per activity is indicated here, so that total workload per semester complies to ECTS standards.

Activity Workload/semester
Activity Semester workload

 

Lectures 39
Exercises 26
Individual study 60
   
Course total

(25-hour workload per credit unit)

 

125

Student Evaluation

Description of the evaluation process

 

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Presentation in audience, Laboratory Report, Clinical examination of a patient, Artistic interpretation, Other/Others

 

Please indicate all relevant information about the course assessment and how students are informed 

 

Written exams at the end of the semester both on theory and optional midterm test.

Two tests are taken within the semester and the average of the grade of those tests is multiplied by 0,3 and is added to the grade of the final test. The precondition for the validity of this bonus is the grade of the final test to be equal or over three. 2. Assignments are delegated to the students that are graded with ranking 0-2. The grade of this assignment is added to the final grade of the semester The precondition for the validity of this bonus is the grade of the final test to be equal or over three

 

 

  1. SUGGESTED BIBLIOGRAPHY
§           Koutroumanidis Th., Zafeiriou E., Malesios Ch., Applied Mathematics for Agriculture (in Greek)

§  M Loukakis Linear Programming

§  Paparrizos K. Linear Programming, Algorithms and Applications

 

 

 

 

 

ANNEX OF THE COURSE OUTLINE

 

Alternative ways of examining a course in emergency situations

 

Teacher (full name): Eleni Zafeiriou
Contact details: ezafeir@agro.duth.gr
Supervisors: (1) Yes
Evaluation methods: (2) Written Exam /Mid term test
Implementation Instructions: (3) The subjects of the exams will be provided through a file that will be uploaded in the field ‘projects’ for a specific time period according to the program of exams.

The answers by the students will be provided by the students through multimedia files.

Each exercise will be graded while the exam contribution will be 100%,

The exam is simultaneous for all the students

The participation in the exams can be done with the use of their institutional account.

Introduction to Business Administration


COURSE OUTLINE

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
LEVEL OF STUDIES 7
COURSE CODE ECO0009 SEMESTER 7th
COURSE TITLE INTRODUCTION TO BUSINESS ADMINISTRATION
TEACHING ACTIVITIES
If the ECTS Credits are distributed in distinct parts of the course e.g. lectures, labs etc. If the ECTS Credits are awarded to the whole course, then please indicate the teaching hours per week and the corresponding ECTS Credits.
TEACHING HOURS PER WEEK ECTS CREDITS
Lectures and exercises (4) 5
     
     
Please, add lines if necessary. Teaching methods and organization of the course are described in section 4.    
COURSE TYPE

Background, General Knowledge, Scientific Area, Skill Development

Specialization
PREREQUISITES:

 

TEACHING & EXAMINATION LANGUAGE: Greek
COURSE OFFERED TO ERASMUS STUDENTS: Yes (in English)
COURSE URL: https://eclass.duth.gr/courses/OPE01204/
  1. LEARNING OUTCOMES
Learning Outcomes
Please describe the learning outcomes of the course: Knowledge, skills and abilities acquired after the successful completion of the course.
Upon the completion of the course the students should be able to;

·        Develop professional skills for business communication and management.

·        Conceptualize the linkage of business planning, organizing, leading and controlling.

·        Build business managerial plans and innovative ideas in product development.

General Skills
Name the desirable general skills upon successful completion of the module
Search, analysis and synthesis of data and information,

ICT Use

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Project design and management

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive reasoning

§ Project preparation

§ Data Survey, synthesis, record and presentation of the finding with the assistance of information systems

§ Innovation and original thinking

 

  1. COURSE CONTENT
·        Definition, content, objectives of business administration

·        The economic, political and social environment of business.

·        Categories of economic units.

·        Definition of management. Historical development of science and practice of management.

·        Key areas of business. The management of personnel and human relations.

·        The functioning of the Organization of Enterprise. The functioning of the Directorate of Operations.

·        The function of the Control of Business.

·        Decision making in business.

·        The financial enterprise.

·         SMEs.

·         International MANAGEMENT.

·        Corporate social responsibility.

  1. LEARNING & TEACHING METHODSEVALUATION
TEACHING METHOD
Face to face, Distance learning, etc.
Face to face, Distance learning via Microsoft Teams Platform
USE OF INFORMATION & COMMUNICATIONS TECHNOLOGY (ICT)
Use of ICT in Teaching, in Laboratory Education, in Communication with students
§  Power point

§  e-class Platform

§  Communication via email

TEACHING ORGANIZATION

The ways and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographic research & analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

 

The supervised and unsupervised workload per activity is indicated here, so that total workload per semester complies to ECTS standards.

Activity Workload/semester
Activity Semester workload

 

Lectures 39
Project 26
Individual study 60
   
Course total

(25-hour workload per credit unit)

 

125

Written exams at the end of the semester both on theory and exercises

 

 
Student Evaluation

Description of the evaluation process

 

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Presentation in audience, Laboratory Report, Clinical examination of a patient, Artistic interpretation, Other/Others

 

Please indicate all relevant information about the course assessment and how students are informed 

 

Written exams at the end of the semester both on theory and exercises

Essay Report

 

  1. SUGGESTED BIBLIOGRAPHY
S. Ross, R. Westerfield, J. Jaffe, B. Jordan Corporate Finance: Core Principles and Applications (McGraw-Hill/Irwin Series in Finance, Insurance, and Real Est) 4th Edition

 

 

 

 

 

 

ANNEX OF THE COURSE OUTLINE

 

Alternative ways of examining a course in emergency situations

 

Teacher (full name): Eleni Zafeiriou
Contact details: ezafeir@agro.duth.gr
Supervisors: (1) Yes
Evaluation methods: (2) Written Assignment/Oral Examination via eclass platform
Implementation Instructions: (3) The subjects of the exams will be provided through a file that will be uploaded in the field projects for a specific time period according to the program of exams.

The answers by the students will be provided by the students through multimedia files.

Each exercise will be graded while the exam contribution will be 100%,

The exam is simultaneous for all the students

The participation in the exams can be done with the use of their institutional account.

 

Quantitative Methods in Economics Analysis


COURSE OUTLINE

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
LEVEL OF STUDIES 7
COURSE CODE ECO0005 SEMESTER 6th
COURSE TITLE QUANTITATIVE METHODS IN ECONOMIC ANALYSIS
TEACHING ACTIVITIES
If the ECTS Credits are distributed in distinct parts of the course e.g. lectures, labs etc. If the ECTS Credits are awarded to the whole course, then please indicate the teaching hours per week and the corresponding ECTS Credits.
TEACHING HOURS PER WEEK ECTS CREDITS
Lectures and exercises  (3+2) 5
     
     
Please, add lines if necessary. Teaching methods and organization of the course are described in section 4.    
COURSE TYPE

Background, General Knowledge, Scientific Area, Skill Development

Specialization
PREREQUISITES:

 

 
TEACHING & EXAMINATION LANGUAGE: Greek
COURSE OFFERED TO ERASMUS STUDENTS: Yes (in English)
COURSE URL: https://eclass.duth.gr/courses/OPE01245/
  1. LEARNING OUTCOMES
Learning Outcomes
Please describe the learning outcomes of the course: Knowledge, skills and abilities acquired after the successful completion of the course.
Upon the completion of the course the students should be able to;

·        get an insight to the applicability of the mathematics in the study of economic theory.

·        To apply the appropriate methodology for the study of an economic phenomenon

General Skills
Name the desirable general skills upon successful completion of the module
Search, analysis and synthesis of data and information,

ICT Use

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Project design and management

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive reasoning

  • Knowledge in Mathematics
  • Analytical and synthetically thought

 

  1. COURSE CONTENT
  1. Concepts (Definition of economic model, type variables, type equations)
  2. Elasticity Introduction, elasticity of demand to price elasticity of supply on price,
  3. Prices of elasticity, the elasticity of demand with multiple independent variables.
  4. Comparative statics and the use of derivative; What is comparative static analysis, marginal revenue functions – cost,
  5. Determination of marginal revenue from the revenue function, define the marginal cost of the function, cost,
  6. marginal product of work in classical economic system instantaneous rate of growth in the economy.
  7. Maximum-minimum economic theory general, Revenue Boundary Change,
  8. Maximizing – minimizing economic functions, maximize revenue, Minimum average cost,
  9. Profit- maximizing in monopoly market, profit maximizing monopoly with tax, maximizing tax revenue.
  10. The integration in economic theory, Applications of indefinite integrals in economic theory,
  11. Finding the overall function of the limit function, saving function
  12.  Finding the limit moment of saving, capital accumulation, Value net investment

13.    Applications of certain integral to the economic theory of consumer surplus, producer surplus capital accumulation at a given time).

  1. LEARNING & TEACHING METHODSEVALUATION
TEACHING METHOD
Face to face, Distance learning, etc.
Face to face, Distance Learning with Microsoft Teams Platform
USE OF INFORMATION & COMMUNICATIONS TECHNOLOGY (ICT)
Use of ICT in Teaching, in Laboratory Education, in Communication with students
§  Power point

§  e-class

TEACHING ORGANIZATION

The ways and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographic research & analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

 

The supervised and unsupervised workload per activity is indicated here, so that total workload per semester complies to ECTS standards.

Activity Workload/semester
Activity Semester workload

 

Lectures 39
Exercises 26
Individual study 60
   
Course total

(25-hour workload per credit unit)

 

125

Student Evaluation

Description of the evaluation process

 

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Presentation in audience, Laboratory Report, Clinical examination of a patient, Artistic interpretation, Other/Others

 

Please indicate all relevant information about the course assessment and how students are informed 

 

Written exams at the end of the semester both on theory and midterm test.

 

 

  1. SUGGESTED BIBLIOGRAPHY
               A. C. Chiang  Fundamental Methods of Mathematical Economics Third Edition, Published February 1st 1984 by McGraw-Hill, Inc.

Koutroumanidis T., Zafeiriou e., Quantitative Economic Analysis. Methods and Applications. Ziti editions  (in Greek)

 

 

 

 

 

 

ANNEX OF THE COURSE OUTLINE

 

Alternative ways of examining a course in emergency situations

 

Teacher (full name): Eleni Zafeiriou
Contact details: ezafeir@agro.duth.gr
Supervisors: (1) Yes
Evaluation methods: (2) Written Exam /Mid term test
Implementation Instructions: (3) The subjects of the exams will be provided through a file that will be uploaded in the field ‘projects’ for a specific time period according to the program of exams.

The answers by the students will be provided by the students through multimedia files.

Each exercise will be graded while the exam contribution will be 100%,

The exam is simultaneous for all the students

The participation in the exams can be done with the use of their institutional account.

 

Applied Economics Statistics


COURSE OUTLINE

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
LEVEL OF STUDIES 7
COURSE CODE ECO0002 SEMESTER 6TH, 8TH
COURSE TITLE APPLIED ECONOMIC STATISTICS
TEACHING ACTIVITIES
If the ECTS Credits are distributed in distinct parts of the course e.g. lectures, labs etc. If the ECTS Credits are awarded to the whole course, then please indicate the teaching hours per week and the corresponding ECTS Credits.
TEACHING HOURS PER WEEK ECTS CREDITS
Lectures and exercises  (3+2) 5
 
 
Please, add lines if necessary. Teaching methods and organization of the course are described in section 4.
COURSE TYPE

Background, General Knowledge, Scientific Area, Skill Development

Specialization
PREREQUISITES:

 

TEACHING & EXAMINATION LANGUAGE: Greek
COURSE OFFERED TO ERASMUS STUDENTS: Yes (in English)
COURSE URL:
  1. LEARNING OUTCOMES
Learning Outcomes
Please describe the learning outcomes of the course: Knowledge, skills and abilities acquired after the successful completion of the course.
Upon the completion of the course the students;

·        should become capable of applying statistics to confront problems of economic theory

General Skills
Name the desirable general skills upon successful completion of the module
Search, analysis and synthesis of data and information,

ICT Use

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Project design and management

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive reasoning

 

Analytical and Synthetical Thinking

  1. COURSE CONTENT
1.       Derived distributions, (x square, t-student, F distribution)

2.       sample distribution statistics,

3.       Estimation, Confidence Interval estimation for mean,

4.       two means, variance, proportions.

5.       Hypothesis Testing, Hypothesis Testing,Type I and Type II Errors,Power of a Test, Computing a test statistic,

6.       Making a decision about H0, Student t Distribution, Degrees of Freedom

7.       categorical data analysis,

8.       Homogeneity, Independence Test

9.       Goodness of Fit Test (Xsquare, Kolmogorov – Smirnov Tes)t

10.   linear models, OLS Estimation, Hypothesis Testing, Correlation Coefficient, Coefficient of Determinant,

11.   Simple Linear Models, Non linear Models

12.   Time series analysis

  1. LEARNING & TEACHING METHODSEVALUATION
TEACHING METHOD
Face to face, Distance learning, etc.
Face to face, Distance Learning
USE OF INFORMATION & COMMUNICATIONS TECHNOLOGY (ICT)
Use of ICT in Teaching, in Laboratory Education, in Communication with students
Power Point, Communication via email and eclass platform
TEACHING ORGANIZATION

The ways and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographic research & analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

 

The supervised and unsupervised workload per activity is indicated here, so that total workload per semester complies to ECTS standards.

Activity Workload/semester
Activity Semester workload
Lectures 39
Exercises 26
Individual study 60
Course total 125
(25-hour workload per credit unit)  
Student Evaluation

Description of the evaluation process

 

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Presentation in audience, Laboratory Report, Clinical examination of a patient, Artistic interpretation, Other/Others

 

Please indicate all relevant information about the course assessment and how students are informed 

Written exams at the end of the semester both on theory and exercises

Two tests are taken within the semester and the average of the grade of those tests is multiplied by 0,3 and is added to the grade of the final test. The precondition for the validity of this bonus is the grade of the final test to be equal or over three. 2. Assignments are delegated to the students that are graded with ranking 0-2. The grade of this assignment is added to the final grade of the semester The precondition for the validity of this bonus is the grade of the final test to be equal or over three

 

 

  1. SUGGESTED BIBLIOGRAPHY
§  Koutroumanidis Th., Zafeiriou E., Malesios Ch., Statistics II (in Greek)

§  Manos B. Applied Statistics (in Greek)

§  Batzios Ch.Statistics in Education of Veterinary Science (in Greek)

 

 

 

 

 

 

ANNEX OF THE COURSE OUTLINE

 

Alternative ways of examining a course in emergency situations

 

Teacher (full name): Eleni Zafeiriou
Contact details: ezafeir@agro.duth.gr
Supervisors: (1) Yes
Evaluation methods: (2) Written Examination
Implementation Instructions: (3) The subjects of the exams will be provided through a file that will be uploaded in the field ‘projects’ for a specific time period in the eclass platform according to the program of exams.

The answers will be provided by the students through multimedia files.

Each exercise will be graded while the exam contribution will be 100%,

The exam is simultaneous for all the students

The participation in the exams can be done with the use of their institutional account.

 

 

 

 

Agricultural Policy


COURSE OUTLINE

 

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
STUDY LEVEL 7
COURSE CODE ECO0011 SEMESTER 6th
COURSE TITLE AGRICULTURAL POLICY
INDEPENDENT TEACHING ACTIVITIES

 

TEACHING HOURS PER WEEK ECTS
Lectures and laboratory course 5 5
COURSE TYPE Specialization
PREREQUISITE COURSE(S):
LANGUAGE (TEACHING AND EXAMS) Greek
THE COURSE IS OFFERED TO ERASMUS STUDENTS Yes (in English)
COURSE WEBSITE (URL) http://www.agro.duth.gr/undergraduate/program/ECO0011.shtml

 

  1. TEACHING OUTCOMES
Teaching outcomes
After this course the students will be able to:

Understand and simulate theories and concepts on the impacts and evolutions of agricultural policies and the Common Agricultural Policy.

Comprehend and identify national or international effects that different agricultural policy measures or schemes may have on different stakeholders.

General capabilities
§  Independent work

§  Literature search, data analysis and synthesis

§  Development of inductive reasoning

 

  1. COURSE CONTENT
Measures and Forms of Agricultural Policy, Agricultural products policy in the EU, Agricultural policy organizations, Agricultural products policy and planning, Impacts of agricultural products policy, Common Agricultural Policy.

 

  1. TEACHING AND LEARNING ASSESSMENT METHODS
DELIVERING METHOD In classroom
IT USE §  Power point, videos

§  e-class

TEACHING ORGANIZATION Activity Semester workload

 

Lectures 39
Laboratory courses 26
Entomological Collection 15
Independent study 45
Course total

(25-hour workload per credit unit)

 

125

STUDENT ASSESSMENT

 

Written exams at the end of the semester both on theoretical and practical courses.

 

 

  1. PROPOSED LITERATURE
·       “Αγροτική Πολιτική” Σέμος Α., Εκδόσεις ΖΗΤΗ, Θεσσαλονίκη 2004.

·       “Αγροτική Πολιτική”, Παπαγεωργίου Κ., Δαμιανός Π., Σπαθής Π., Εκδόσεις Α. Σταμούλης, Αθήνα 2005.

 

ANNEX OF THE COURSE OUTLINE

 

Alternative ways of examining a course in emergency situations

 

Teacher (full name): Christos Karelakis
Contact details: chkarel@agro.duth.gr
Supervisors: (1) No
Evaluation methods:(2) Written examination with distance through e-class and Microsoft Teams, provided that the integrity and reliability of the examination are ensured
Implementation Instructions: (3) The examination will be carried out via multiple choice questions in e-class and Microsoft Teams on the scheduled date.

A. Microsoft Teams

The Microsoft Teams link is created on the course page on the platform and exclusively in the institutional accounts of those who have registered for the course and have learned the terms of distance education.

Students must log in to the Microsoft Teams room through their institutional account, otherwise they will NOT be able to participate. They will be identified using their institutional account.

B. e-class

At the same time, they must log in to the e-class using their institutional account and go to the course page (prerequisite to have registered for the course)

https://eclass.duth.gr/courses/OPE01138/

The exam lasts 30 minutes and each student must answer 20 multiple choice questions, without a negative grade. Each of the questions is scored with 0.5.