Prosomoíōsī kai Montelopoíīsī Viosystīmátōn

Course Information
TitleΠροσομοίωση και Μοντελοποίηση Βιοσυστημάτων / Prosomoíōsī kai Montelopoíīsī Viosystīmátōn
CodeRM120
FacultyAgriculture, Forestry and Natural Environment
SchoolAgriculture
Cycle / Level2nd / Postgraduate, 3rd / Doctorate
Teaching PeriodWinter/Spring
CoordinatorVasileios Fragkos
CommonYes
StatusActive
Course ID600018833

Programme of Study: PMS Diacheírisī Edafikṓn, Ydatikṓn, Energeiakṓn Pórōn kai Agrotikoý Perivállontos

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses216

Class Information
Academic Year2019 – 2020
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Total Hours52
Class ID
600162257
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
Prerequisites
Required Courses
  • RM102 Water Resources Management
  • RM101 Controlled Environment Systems
  • RM103 Plant-Soil Relationships
  • RM104 Soil-Water-Plant Relationships
  • RM105 Precision Agriculture and Energy Saving
General Prerequisites
Sudents should be familiar with the use of computers
Learning Outcomes
Upon completion of this course, the students will learn to design a laboratory experiment and to analyze and simulate a biosystem in a mathematical way. Therefore, the students will use either a programming environment to understand the modeling process by means of simple examples, as well as using more specific simulation software in examples of higher complexity
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Respect natural environment
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Experimental modeling : Laboratory experiments – dimensional analysis and similarity criteria - wind tunnel testing. Numerical modeling: Mathematical modeling process - the main elements of simulation-analysis and types of models- mathematical description of models – numerical solution of models. Experimental and computer simulation of real agricultural systems (soil-water-air-greenhouses-livestock buildings- biomass).
Keywords
Biosystem, Experimental simulation, Numerical simulation.
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
Description
.Powerpoint, lab exercises.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures117
Laboratory Work26
Written assigments21
Exams4
Total168
Student Assessment
Description
50% Written exams 50% Written assignment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Last Update
09-03-2020