Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
SYSTEMS ENGINEERING ZTY311 0 + 0 0 0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals System Engineering is a collection of optimization applications that can be used to solve engineering problems in agriculture. It is aimed that students will be able to decide on different alternatives and have knowledge and skills about the linear programming technique.
Course Content System, system engineering, optimization techniques, linear programming, integer linear programming, transportation, transshipment, assignment models, dynamic programming the shortest path, optimum resource allocation, production-inventory models, software’s related these subjects.
Learning Outcomes 1) 1. Understanding Systems Engineering topics and gaining problem-solving skills
2) 2. Gives students the ability to make decisions about different alternatives and enables them to have knowledge and skills in matters related to linear programming techniques
3) 3. Has knowledge about system, model, operation research, optimization, model building, decision steps
4) 4. Understands the fundamentals of linear programming, simplex and vgraphic solutions, solves problems related to their own subjects and gains the ability to use related programs
5) 5. learn transportation and transit transportation and assignment models

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction, system, model, operation research, optimization, model building, decision steps Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
2. Week Introduction, system, model, operation research, optimization, model building, decision steps Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
3. Week (general), model building, graphical solution, integer programming and integer linear programming Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
4. Week (general), model building, graphical solution, integer programming and integer linear programming Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
5. Week Simplex solution and interpretation in linear programming Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
6. Week Simplex solution and interpretation in linear programming Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
7. Week Midterm Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
8. Week Problem solutions related to linear programming, computer applications Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
9. Week Problem solutions related to linear programming, computer applications Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
10. Week Problem solutions related to linear programming, computer applications Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
11. Week Special types of linear programming, transportation and transit transportation models and solutions Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
12. Week Special types of linear programming, transportation and transit transportation models and solutions Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
13. Week Special types of linear programming, assignment model and solution Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
14. Week Special types of linear programming, assignment model and solution Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
15. Week Problem solutions related to transportation, transit transportation and assignment, computer applications Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
16. Week Problem solutions related to transportation, transit transportation and assignment, computer applications Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Diğer Ziraat Fakültelerinin Tarımsal Yapılar ve Sulama bölümlerince ve Diğer Fakültelerde takip edilen yöneylem araştırması ile ilgili ders kitapları

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 16 4
Work Hour outside Classroom (Preparation, strengthening) 16 2
Homework 7 5
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 6
Time to prepare for Final Exam 1 8
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • ECTS credits and course workload