Advanced methods of quantitative analysis and new information technologies

Course Information
TitleΠΡΟΧ/ΝΕΣ ΜΕΘ.ΠΟΣ/ΚΗΣ ΑΝΑΛΥΣΗΣ ΚΑΙ Ν. ΤΕΧ/ΓΙΕΣ ΠΛΗΡ/ΚΗΣ / Advanced methods of quantitative analysis and new information technologies
FacultyAgriculture, Forestry and Natural Environment
Cycle / Level2nd / Postgraduate, 3rd / Doctorate
Teaching PeriodSpring
Course ID420000547

Class Information
Academic Year2019 – 2020
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
Course Type 2016-2020
  • Background
  • General Knowledge
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Work autonomously
  • Work in teams
  • Generate new research ideas
Course Content (Syllabus)
Multiple regression analysis, Econometric systems, Time series analysis, Analysis of variance, Principal component analysis, Cluster Analysis, Discriminant Analysis, Correspondence analysis, Applications with software packages. Advanced Mathematical Programming (Mixed integer, Quadratic, Goal, Multiobjective), Data envelopment analysis, Multicriteria analysis, Stock control theory, Replacement Theory, Networks optimization, Production scheduling, Simulation, Decision support systems, Applications with software packages. Information systems, E-commerce, E-business, E-government, E-logistics, Traceability in supply chain, Expert systems, Software packages.
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
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