Course Name Code Semester T+U Hours Credit ECTS
Robotics BSM 428 8 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi SEÇKİN ARI
Course Lecturers Dr.Öğr.Üyesi SEÇKİN ARI,
Course Assistants
Course Category
Course Objective Recently, due to the increasing competition the usage of the automation systems is increased. Robots are also important in the automation. A disciplinary subject robotics became an important concept in the industry effectively.

In this course, it is aimed that the students will learn fundamentals of robotics and they will have information about the problems in robotics and solution of them
Course Content Introduction to robotics and historical developments. Robotics in automations systems. Axis in robotics, coordinate systems and robot types, robot actuators, end effectors, robot dynamics, robot kinematics, kinematics analysis, trajectory planning, robot simulation software, sample robotics applications
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understand the fundamentals of robotics Lecture, Drilland Practice, Self Study, Testing,
2 Recognize robot types, robot structures and their usage areas Lecture, Drilland Practice, Self Study, Testing, Homework,
3 Understand the function of robotics in an automation system Lecture, Drilland Practice, Self Study, Testing, Homework,
4 Understand robot dynamics and kinematics Lecture, Drilland Practice, Self Study, Testing,
5 Recognize the problems in robotics systems and to generate solution methods for these problems Lecture, Drilland Practice, Self Study, Testing, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction to robotics, historical developments and basic concepts
2 Robots in automation systems and group technology
3 The axis in robotics, coordinate systems.
4 The robot types and usage area
5 Actuators in robotics
6 Robot dynamics
7 Robot kinematics
8 Kinematics analysis
9 Deriving direct kinematics equations
10 Inverse kinematics problem and solution methods
11 Trajectory planning, obtaining position and speed curves
12 End effectors in robotics
13 Robot simulation software
14 Sample industrial robotics applications
Resources
Course Notes Lecture Notes
Course Resources 1- J.J. Craig, Introduction to Robotics Mechanics and Control, Prentice Hall, NJ, 2005.
2- K.S. Fu, R.C. Gonzalez, C.S.G. Lee, Robotics Control, Sensing, Vision and Intelligence, McGraw-Hill, 1987.
3- Z. Bingül, S. Küçük, Robot Tekniği 1, Birsen Yayınevi, 2005.
4- R.P. Pauk, Robot manipulators: Mathematics, Programming and Control, MIT press, 1981.
5- A. Varol, Robotik, Milli Eğitim Basımevi, İstanbul, 2000.
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, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
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, X
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, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, X
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 55
1. Kısa Sınav 15
2. Kısa Sınav 15
3. Kısa Sınav 15
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 10 10
Assignment 3 5 15
Final examination 1 15 15
Total Workload 136
Total Workload / 25 (Hours) 5.44
dersAKTSKredisi 5