Course Name Code Semester T+U Hours Credit ECTS
Optimization EBT 555 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. NİLÜFER YURTAY
Course Lecturers
Course Assistants
Course Category
Course Objective In this course, it is given definition of the optimization, the data about the details of the static and the dynamic optimization, is explained the details of optimization theory applied to control problems and is given the optimum control system examples.
Course Content Definition of the optimization, calculus of extrama and parameter optimization, variational, dyamic optimization in control systems, optimization theory applied to control problems, optimum control system examples
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To define the optimization Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework,
2 To learn calculus of extrama and parameter optimization Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework,
3 To learn variational, dyamic optimization in control systems Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Testing, Homework, Project / Design,
4 To learn optimization theory applied to control problems Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework, Project / Design,
5 To learn optimum control system examples Lecture, Question-Answer, Drilland Practice, Case Study, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Definition of the optimization
2 Definition of the optimization
3 Calculus of extrama and parameter optimization
4 Calculus of extrama and parameter optimization
5 Calculus of extrama and parameter optimization
6 Variational, dyamic optimization in control systems
7 Variational, dyamic optimization in control systems
8 Variational, dyamic optimization in control systems
9 Optimization theory applied to control problems
10 Optimization theory applied to control problems
11 Optimization theory applied to control problems
12 Optimum control system examples
13 Optimum control system examples
14 Optimum control system examples
Resources
Course Notes [1] SAGE A. P. and CHELSEA, C., W., Optimum Systems Controls, Prentice Hall, New Jersey, 1977.
Course Resources [2] BRYSON J., ARTHUR E., YU-CHI H., Applied Optimal Control, Hemisphere Publishing Corporation Washington, New York, London, 1975.

[3] ANDERSON B. D. O., MOORE J. B., Linear Optimal Control, Prentice Hall, New Jersey, 1971.

[4] TABAK D. and KUO B. C., Optimal Control by Mathematical Programming, Prentice Hall, New Jersey, 1971.

[5] KIRK D., E., Optimal Control Theory, Prentice Hall, New Jersey, 1970.
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement limited or incomplete data by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
11 aware of new and developing application of profession and ability to analyze and study on those applications
12 ability to interpret engineering applications social and environmental dimensions and its compliance with the social environment
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 30
1. Ödev 35
1. Performans Görevi (Seminer) 35
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
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 2 32
Mid-terms 1 10 10
Assignment 5 10 50
Performance Task (Seminar) 1 10 10
Final examination 1 10 10
Total Workload 160
Total Workload / 25 (Hours) 6.4
dersAKTSKredisi 6