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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 METHODS – EVALUATION
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
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 METHODS – EVALUATION
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.