Simulation and Modeling of Biosystems
| Title | Προσομοίωση και Μοντελοποίηση Βιοσυστημάτων / Simulation and Modeling of Biosystems |
| Code | RM120 |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 2nd / Postgraduate, 3rd / Doctorate |
| Teaching Period | Winter/Spring |
| Coordinator | Vasileios Fragkos |
| Common | Yes |
| Status | Active |
| Course ID | 600018833 |
Programme of Study: PMS Diacheírisī Edafikṓn, Ydatikṓn, Energeiakṓn Pórōn kai Agrotikoý Perivállontos
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 2 | 1 | 6 |
| Academic Year | 2019 – 2020 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Total Hours | 52 |
| Class ID | 600162257
|
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600162257
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
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 117 | ✓ | |||
| Laboratory Work | 26 | ✓ | ✓ | ||
| Written assigments | 21 | ✓ | ✓ | ||
| Exams | 4 | ✓ | |||
| Total | 168 |
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
