Optimization Theory with Applications in Agricultural Sector


COURSE OUTLINE

 

  1. GENERAL
SCHOOL AGRICULTURAL AND FORESTRY SCIENCES
DEPARTMENT AGRICULTURAL DEVELOPMENT
STUDY LEVEL Undergraduate
COURSE CODE ECO1007 SEMESTER 7th & 9thth
COURSE TITLE Optimisation Theory with application in the agricultural sector
INDEPENDENT TEACHING ACTIVITIES

 

TEACHING HOURS PER WEEK ECTS
Lectures and laboratory course 5 5
COURSE TYPE Specialisation
PREREQUISITE COURSE(S):
LANGUAGE (TEACHING AND EXAMS) Greek
THE COURSE IS OFFERED TO ERASMUS STUDENTS Yes (in English)
COURSE WEBSITE (URL) https://eclass.duth.gr/courses/OPE01116/

 

  1. TEACHING OUTCOMES
Teaching outcomes
Students become familiar with the concepts of optimization theory and the application and use of relevant econometric and mathematical programming software.
General capabilities
§  Independent work

§  Literature search, data analysis and synthesis

§  Development of inductive reasoning

 

 

  1. COURSE CONTENT
  1. Introduction.
  2. Inputs and production function.
  3. Production function in the short term.
  4. Production in the long run
  5. Isoproduction curves, curves of equal cost.
  6. Productivity and efficiency. Technical efficacy, distributive efficacy, economic efficiency.
  7. Efficiency measurement: Parametric and non-parametric methods.
  8. DEA (Data Envelopment Analysis). The CRS Constant Returns to Scale) model.
  9. The VRS (Variable Returns to Scale) model.
  10. Computer software: Parametric methods (η συνάρτηση Cobb-Douglas).
  11. Non-parametric methods (DEAP, On- Front, EMS).
  12. Application of the analysis to data of previous scientific papers
  13. Presentations of student assignments

 

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

§  Mathematic & econometric software

§  e-class

 

TEACHING ORGANIZATION Activity Semester workload

 

Lectures 39
Assignment 15
Applied exercises 26
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, consisting of (a) multiple choice (b) numerical exercises (c) theoretical problems explanations.

 

 

  1. PROPOSED LITERATURE
Hand-outs and notes and scientific papers.

COELLI, RAO, BATTESE. AN INTRODUCTION TO EFFICIENCY AND PRODUCTIVITY ANALYSIS. KLUWER ACADEMIC PUBLISHERS, ΝΥ 2006,