Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
TBBB-107MATHEMATICAL MODELING OF AGRICULTURAL SYSTEMSElective126
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
11. Sample solutions of single and double variable function graph drawing.
22. To solve the examples about modeling
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
Recommended Optional Programme Components
1. Sample solutions of single and double variable function graph drawing. 2. To solve the examples about modeling
Course Contents
1. To increase the level of knowledge about the basic subjects of Higher Mathematics 2. To gain the ability to understand the system, systematic approach concepts 3. To develop the concept of model, classification of models, selection levels of models according to their science branches 4. To gain the ability to work with scientific resources as soon as possible to reach the objective of experimental, semi-experimental and theoretical models and to understand them. To be able to learn the information, methods and modeling techniques of their own fields
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction to basic mathematics
2 - Numbers and transactions on them, - Functions: features, format, graphics - Examples of agricultural science
3Single Variable Functions, Examples of agricultural science
4Ordinary and partial derivatives, applications, finding of extremes
5Ecology concept, ecology environments and factors
6Ecological Systems Basic concepts, schematic representation and mathematical expression
7Analysis and Investigation of Ecosystems - Systematic approach or systematic analysis method - Stages of systematic analysis method
8Midterm Exam
9Modeling Ecosystems - Model concept, classification of models
10- Modeling and its stages, - Theoretical and conceptual modeling of ecosystems
11Mathematical Modeling of Ecosystems - Analytical modeling of ecological systems - Numerical modeling of ecological systems
12Empirical Modeling of Ecosystems - Experimental models with a variable - Multivariate experimental models
13Half-Empirical Modeling
14Compliance Criteria of Models
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
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
Turkish
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
LO14444444444
LO23444354455
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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