Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
TBB-23-116EKOLOJİK PROSESLERİNİN MODELLENMESİNDE İLERİ KONULARElective126
Level of Course Unit
Second Cycle
Objectives of the Course
The aim of the course is to teach the basic structures of high mathematics, system and model concepts and their classification, to teach the necessary knowledge about modeling and to give students the ability to understand modeling and modeling methods for their fields. In this context, students will have moderate modeling at the end of the course
Name of Lecturer(s)
Prof. Dr. Fariz MİKAİLSOY
Learning Outcomes
1Detailed adoption of experimental, semi-experimental and theoretical models
2Determination of parameters of these models
3Application of Models
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
Recommended Optional Programme Components
Detailed adoption of experimental, semi-experimental and theoretical models Determination of parameters of these models Application of Models
Course Contents
1. To develop the selection levels of various models depending on their work areas in agricultural systems 2. To gain the ability to work with scientific resources as quickly as possible to reach the goal of understanding, experimental, half-experimental and theoretical models, 3. To gain the ability to learn modeling knowledge, methods and modeling techniques of their field 4. Teaching modeling in Excell, MINITAP and Statistical package program
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
11. To develop the selection levels of various models depending on their work areas in agricultural systems
22. To gain the ability to work with scientific resources as quickly as possible to reach the goal of understanding, experimental, half-experimental and theoretical models,
3 3. To gain the ability to learn modeling knowledge, methods and modeling techniques of their field
44. Teaching modeling in Excell, MINITAP and Statistical package program
Recommended or Required Reading
Fariz Mikailsoy, Higher Mathematics, Konya, 2016 Odum E.P. Fundamentals of Ekology. Pennsylvania, 1971 Feodorov V. D., Gilmanov T.G. Ecology. Moscow, 1980 Evrendilek F. Ecological Systems Analysis, Management and Modeling, 2004. Chapra S.C., Canale R.P. Numerical Methods for Engineers, 2003 France J., Thornley J. Mathematical Models in Agriculture, London, 1984
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities50
End Of Term (or Year) Learning Activities50
SUM100
Language of Instruction
Work Placement(s)
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14114
Self Study14342
Individual Study for Mid term Examination12020
Individual Study for Final Examination12020
Homework42080
TOTAL WORKLOAD (hours)180
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
LO144      4 
LO2  5534  45
LO3      5455
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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