Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  TBBG109  MathematIcal ModelIng of AgrIcultural Systems  Elective  1  1  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 corequisities 

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, semiexperimental 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 

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  HalfEmpirical 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  
Homework  1  50  SUM  50  
Final Examination  1  50  SUM  50  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 