Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits TBBB-107 MATHEMATICAL MODELING OF AGRICULTURAL SYSTEMS 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 1. Sample solutions of single and double variable function graph drawing. 2 2. 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
 Week Theoretical Practice Laboratory 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
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 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)