ISB404 Operations Research

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

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB404
Name Operations Research
Term 2021-2022 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
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. NİMET ÖZBAY
Course Instructor Doç. Dr. NİMET ÖZBAY (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

To teach basic ideas of operations research techniques

Course Content

Operations research Techniques, Art of modelling, Transportation model, The assignment model, Network models, Shortest Route Problem, Goal Programming, Integer linear programming, Decision analysis and game theory

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understand the concept of the model and improve the model
LO02 solve balanced and unbalanced transportation problems
LO03 solve the assignment models
LO04 solve Network models and the problems of the shortest path
LO05 understand maximum flow model
LO06 understand capacity of the minimum cost flow problem
LO07 understand goal programming algorithms
LO08 apply Integer programming algorithms
LO09 do decision analysis
LO10 solve game theory problems


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 Statistics
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
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization
PLO07 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods 3
PLO08 Bilgi - Kuramsal, Olgusal Make statistical inference (estimation, hypothesis tests etc.)
PLO09 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques and gain insight
PLO10 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programs
PLO11 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 2
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually
PLO14 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
PLO15 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 The concept of model, model development Source reading
2 Transportation Models Source reading
3 Unbalanced transportation problems Source reading
4 Assignment Model Source reading
5 Network Models, the shortest path problem Source reading
6 Maximum Flow Model Source reading
7 Capacity of the minimum cost flow problem Source reading
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources
9 Goal Programming Source reading
10 Goal programming algorithms Source reading
11 Integer programming Source reading
12 Integer programming algorithms Source reading
13 Decision Analysis Source reading
14 Game theory Source reading
15 Game theory Source reading
16 Term Exams Review the topics discussed in the lecture notes and sources
17 Term Exams Review the topics discussed in the lecture notes and sources


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 29.04.2025 02:19