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 2020-2021 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 Uzaktan 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 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 4
PLO02 - Emphasize the importance of Statistics in life 3
PLO03 - Define basic principles and concepts in the field of Law and Economics 0
PLO04 - Produce numeric and statistical solutions in order to overcome the problems 5
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 2
PLO06 - Utilize computer systems and softwares 4
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 4
PLO08 - Apply the statistical analyze methods 2
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 2
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques 4
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme 0
PLO12 - Construct a model and analyze it by using statistical packages 4
PLO13 - Distinguish the difference between the statistical methods 1
PLO14 - Be aware of the interaction between the disciplines related to statistics 4
PLO15 - Make oral and visual presentation for the results of statistical methods 2
PLO16 - Have capability on effective and productive work in a group and individually 2
PLO17 - 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 3
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 2


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