ISB404 Operations Research

5 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

Code ISB404
Name Operations Research
Term 2022-2023 Academic Year
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. NİMET ÖZBAY
Course Instructor Doç. Dr. NİMET ÖZBAY (A Group) (Ins. in Charge)


Course Goal / Objective

To teach operations research techniques, to develop the ability to build models and apply solution methods of different models

Course Content

The Assignment Model, Network Models, Shortest Path Problem, Maximum Flow Model, Minumum Cost Flow Problem, Critical Path Method, PERT Analysis, Parametric Linear Programming, Goal Programming

Course Precondition

None

Resources

-Yöneylem Araştırması, Prof.Dr. Ahmet Öztürk, Ekin Basım Yayın, 2016, 894s. -Yöneylem Araştırması, Hamdy A. Taha, Literatür Yayıncılık, 2003. -İşletmede Sayısal Yöntemler ve Winqsb Uygulamaları, Prof.Dr. İsmail Erdem, Seçkin Yayıncılık, 2017, 535s.

Notes

Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Solves the assignment models
LO02 Comprehends the network models, solves the shortest path problems
LO03 Explains the maximum flow model and solves related examples
LO04 Understands the minimum cost flow problems and solves related examples
LO05 Comprehends the critical path method
LO06 Learns the PERT method
LO07 Learns parametric linear programming models and various solution methods
LO08 Learns goal programming models and various solution methods


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 3
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 4
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems 2
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer systems and softwares 2
PLO07 Bilgi - Kuramsal, Olgusal Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 3
PLO08 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods 3
PLO09 Bilgi - Kuramsal, Olgusal Make statistical inference(estimation, hypothesis tests etc.)
PLO10 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques 5
PLO11 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programme
PLO12 Bilgi - Kuramsal, Olgusal Construct a model and analyze it by using statistical packages
PLO13 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods 3
PLO14 Beceriler - Bilişsel, Uygulamalı Be aware of the interaction between the disciplines related to statistics 5
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 2
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
PLO18 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 Assignment Model Source reading Öğretim Yöntemleri:
Anlatım
2 Application of the Hungarian Method Source reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Network Models Source reading Öğretim Yöntemleri:
Anlatım
4 Shortest Path Problem Source reading Öğretim Yöntemleri:
Problem Çözme
5 Maximum Flow Model Source reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap
6 Minumum Cost Flow Problem Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Bireysel Çalışma
7 Critical Path Method Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme, Bireysel Çalışma
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav
9 Problem Solving Source reading Öğretim Yöntemleri:
Problem Çözme, Soru-Cevap
10 PERT Analysis Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
11 Critical Path Method and PERT Analysis Applications Source reading Öğretim Yöntemleri:
Problem Çözme, Beyin Fırtınası, Soru-Cevap
12 Parametric Linear Programming Source reading Öğretim Yöntemleri:
Anlatım
13 Analysis of Systematic Variation in Objective Function Parameters Source reading Öğretim Yöntemleri:
Problem Çözme, Soru-Cevap
14 Analysis of Systematic Change in Right Side Parameters Source reading Öğretim Yöntemleri:
Problem Çözme
15 Goal Programming Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
16 Term Exams Review the topics discussed in the lecture notes and sources Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
17 Term Exams Review the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 18.11.2022 03:31