Course Name Code Semester T+U Hours Credit ECTS
Optimization BSM 433 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Doç.Dr. NİLÜFER YURTAY
Course Lecturers Doç.Dr. NİLÜFER YURTAY, Arş.Gör. HÜSEYİN DEMİRCİ,
Course Assistants
Course Category
Course Objective In this course it is aimed to form models in linear or nonlinear problems and optimize them
Course Content Form a model, linear programming, limited and unlimited optimization problems, nonlinear programming, dynamic programming and introduction to optimal control.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Form a model and to solve ability Lecture, Question-Answer, Discussion, Case Study, Problem Solving, Homework, Project / Design, Testing, Oral Exam,
2 Use optimization technics Lecture, Question-Answer, Discussion, Case Study, Problem Solving, Testing, Oral Exam, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Modelling and simulation concepts
2 Linear programming
3 Graph method
4 Simplex method
5 Duality and sensitivity analysis
6 Transport models
7 Distribution models
8 Integer programming
9 Classic optimization theory
10 Newton-Raphson method
11 Nonlinear programming
12 Unlimited algorithms
13 Limited algorithms
14 Applications
Course Notes [1]Lecture Notes
Course Resources [2]Yöneylem Araştırması, Hamdy A. Taha, Prentice Hall, 2000.
[3]Optimization in operations research , Ronald L. Rardin, Upper Saddle River : Prentice Hall, 2000.
Week Documents Description size
7 tdp 0.64 MB
7 tdp 0.64 MB
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research,
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies,
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility,
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language,
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology,
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society,
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications,
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Proje / Tasarım 30
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
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 5 5
Quiz 2 1 2
Project / Design 1 15 15
Final examination 1 12 12
Total Workload 130
Total Workload / 25 (Hours) 5.2
dersAKTSKredisi 5