Iğdır University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
TBB-23-116	EKOLOJİK PROSESLERİNİN MODELLENMESİNDE İLERİ KONULAR	Elective	1	2	6

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

1	Detailed adoption of experimental, semi-experimental and theoretical models Determination of parameters of these models Application 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

Week	Theoretical	Practice	Laboratory
1	Modeling of agricultural systems Steps of modeling
2	Agricultural Systems - Physical, - Conceptual (conceptual) and - Mathematical modeling
3	Mathematical Modeling of Agricultural Systems - Analytical modeling - Numerical modeling
4	Analytical modeling of agricultural systems: - Empirical (Experimental) modeling - Half theoretical modeling - Theoretical modeling
5	One and multivariate linear models.	Examples of agricultural science
6	One and multivariate nonlinear models. Examples of agricultural science
7	K. F. Gaussian Least Squares Method
8	Midterm Exam
9	Determination of parameters of models
10	Linearity of non-linear models
11	Teaching modeling in Excell program system
12	Teaching modeling in the MINITAP program system
13	Teaching the modeling in Statistical package program
14	Compliance criteria for models
15	Final exam

Recommended or Required Reading

Fariz Mikailsoy Yüksek Matematik, Konya, 2016 Odum E.P. Fundamentals of Ekology. Pennsiylvania, 1971 Feodorov V.D., Gilmanov T.G. Ecology. Moscow, 1980 Evrendilek F. Ekolojik Sistemlerin Analizi, Yönetimi ve Modellenmesi, 2004. Chapra S.C., Canale R.P. Mühendisler İçin Sayısal Yöntemler, 2003. France J., Thornley J. Mathematical Models in Agriculture, London 1984 Straskraba M. Freshwater Ecosystems-Modeling and Simulation, 1985

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		50
End Of Term (or Year) Learning Activities		50
SUM		100

Language of Instruction

Turkish

Work Placement(s)

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	2	2
Final Examination	1	2	2
Attending Lectures	14	1	14
Self Study	14	3	42
Individual Study for Mid term Examination	1	20	20
Individual Study for Final Examination	1	20	20
Homework	4	20	80
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
LO1	4	5	2	3	4	5	3	4	5	5

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High