Course Name Code Semester T+U Hours Credit ECTS
Operations Research ENM 214 4 4 + 0 4 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. HARUN REŞİT YAZĞAN
Course Lecturers Prof.Dr. HARUN REŞİT YAZĞAN, Doç.Dr. ÖZER UYGUN, Arş.Gör.Dr. SENA KIR,
Course Assistants
Course Category
Course Objective
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Learning Linear Programming (LP) and its characteristics, implementing and interpreting graphical solution of LP Lecture, Question-Answer, Drilland Practice, Self Study, Testing, Homework,
2 Implementing Primal Simplex algorithm, solution with initial artificial variable-M Technique and Two Phase Method, and distinguishing using of these techniques in different LP problems Lecture, Question-Answer, Drilland Practice, Self Study, Testing, Homework, Project / Design,
3 Understanding duality concept, relation between dual and primal solutions, economic interpretations of dual solutions. Lecture, Question-Answer, Drilland Practice, Self Study, Testing, Homework,
4 Understanding Sensitivity analysis, calculating the results when any chances in parameters. Lecture, Question-Answer, Drilland Practice, Self Study, Testing, Homework,
5 Learning Transportation Models and its applications, interpreting the results. Lecture, Question-Answer, Drilland Practice, Self Study, Testing, Homework, Project / Design,
6 Learning integer programming, understanding the problem types that it can be applied and interpreting the solution results. Lecture, Question-Answer, Drilland Practice, Self Study, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction to Operations Research and Linear Programming
2 Linear Programming, Model Building
3 Model Building and Graphical Solution
4 Primal Simplex Method
5 Big M Technique and Two Phase Method
6 Dual simplex method, Special Conditions in Simplex Method
7 Duality concept, Economical Interpretations of Dual Solutions
8 Sensitivity Analysis, Changes That Effect Optimality
9
10 Sensitivity Analysis, Changes That Effect Feasibility
11 Transportation and Assignment Models-1
12 Transportation and Assignment Models-2
13 Integer Programming-1
14
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 Engineering graduates with well-structured responsibilities in profession and ethics
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 55
1. Kısa Sınav 15
2. Kısa Sınav 15
3. Kısa Sınav 15
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 2 5 10
Assignment 1 5 5
Final examination 1 10 10
Total Workload 131
Total Workload / 25 (Hours) 5.24
dersAKTSKredisi 5