Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | TBBG-109 | MathematIcal ModelIng of AgrIcultural Systems | Elective | 1 | 3 | 6 |
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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.
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Name of Lecturer(s) |
Prof. Dr. Fariz MİKAİLSOY |
Learning Outcomes |
1 | 1. Sample solutions of single and double variable function graph drawing.
| 2 | 2. To solve the examples about modeling
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Mode of Delivery |
Daytime Class |
Prerequisites and co-requisities |
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Recommended Optional Programme Components |
1. Sample solutions of single and double variable function graph drawing.
2. To solve the examples about modeling
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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
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Weekly Detailed Course Contents |
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1 | Introduction to basic mathematics | | | 2 | - Numbers and transactions on them,
- Functions: features, format, graphics
- Examples of agricultural science
| | | 3 | Single Variable Functions, Examples of agricultural science | | | 4 | Ordinary and partial derivatives, applications, finding of extremes | | | 5 | Ecology concept, ecology environments and factors | | | 6 | Ecological Systems
Basic concepts, schematic representation and mathematical expression
| | | 7 | Analysis and Investigation of Ecosystems
- Systematic approach or systematic analysis method
- Stages of systematic analysis method
| | | 8 | Midterm Exam | | | 9 | Modeling Ecosystems
- Model concept, classification of models
| | | 10 | - Modeling and its stages,
- Theoretical and conceptual modeling of ecosystems
| | | 11 | Mathematical Modeling of Ecosystems
- Analytical modeling of ecological systems
- Numerical modeling of ecological systems
| | | 12 | Empirical Modeling of Ecosystems
- Experimental models with a variable
- Multivariate experimental models
| | | 13 | Half-Empirical Modeling | | | 14 | Compliance Criteria of Models | | |
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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
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Planned Learning Activities and Teaching Methods |
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Assessment Methods and Criteria | |
Midterm Examination | 1 | 100 | SUM | 100 | |
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) | |
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Workload Calculation |
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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 |
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Contribution of Learning Outcomes to Programme Outcomes |
LO1 | 4 | 4 | 4 | 4 | 5 | 4 | 4 | 4 | 4 | 4 | LO2 | 5 | 4 | 5 | 4 | 4 | 5 | 5 | 4 | 4 | 5 |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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