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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Industrial Engineering, M.Sc.
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01END5102
Non-linear Programming
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Assistant Professor Dr. Gültekin ÖZDEMİR
Course Instructors
 
Course Assistants
 
Course Aims
Students taking this course, to introduce operations research, linear optimization problems solved by various methods to interpret the model's ability to win.
Course Goals
Operations Research to recognize, as a model of linear optimization problems by solving a variety of ways to gain the ability to interpret.
Learning Outcomes of The Course Unit
Linear decision models to recognize and grasp the solution
Linear decision models to analyze and interpret the solutions.
Course Contents
Operations Research (OR) 's Definition and Overview, YA'nın Relations with Other Field, the history, YA'nın Applications and Application Examples, Linear Programming (DP) and Properties, DP's Graphics Solution, Various DP Model samples, the DP Model Simplex Solution: Standard Form, Basic Solutions, Simplex Algorithm İlkil, United-M-Method, Two-Phase Method, Dual Simplex Method, Simplex Method in the Special Cases, Binary concept, First-binary Solutions Between the Binary Economic Analysis of Comments -Shadow-Prices Reduced Cost, Sensitivity Analysis, Changes Affecting Eniyiliği, Transport Models, Network Models, Integer Algorithms
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
50
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
4
56
Homework
0
0
Homeworks
6
3
18
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
1
10
10
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
1
20
20
Seminary
0
0
Finals
1
30
30
Field study
0
0
Workload Hour (30)
30
TOTAL
50
Total Work Charge / Hour
176
The ratio of the term to success
50
Course's ECTS Credit
6
The ratio of final to success
50
 
TOTAL
100
 
Recommended or Required Reading
Textbook
Lecture Notes
Additional Resources
 
Material Sharing
Documents
 
Assignments
 
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
1
Ability to formulate and solve engineering problems by using mathematics, occupational knowledge and scientific methods.
5