BYM451 RoboticsInstitutional InformationDegree Programs Computer EngineeringInformation For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Computer Engineering

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: BYM451
Course Name: Robotics
Course Semester: Spring
Course Credits:
ECTS
6
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi NAZLI TOKATLI
Course Lecturer(s): Assistant Prof. Dr. Ferhat Canbay
Course Assistants:

Course Purpose and Content

Course Objectives: 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

Learning Outcomes

The students who have succeeded in this course;
1) Understand the fundamentals of robotics
2) Recognize robot types, robot structures and their usage areas
3) Understand the function of robotics in an automation system
4) Understand robot dynamics and kinematics
5) Recognize the problems in robotics systems and to generate solution methods for these problems

Course Flow Plan

Week Subject Related Preparation
1) Introduction to robotics, historical developments and basic concepts Lecture notes and course book
2) Robots in automation systems and group technology Lecture notes and course book
3) The axis in robotics, coordinate systems. Lecture notes and course book
4) The robot types and usage area Lecture notes and course book
5) Actuators in robotics Lecture notes and course book
6) Robot dynamics Lecture notes and course book
7) Robot kinematics Lecture notes and course book
8) Kinematics analysis Lecture notes and course book
9) Deriving direct kinematics equations Lecture notes and course book
10) Inverse kinematics problem and solution methods Lecture notes and course book
11) Trajectory planning, obtaining position and speed curves Lecture notes and course book
12) End effectors in robotics Lecture notes and course book
13) Robot simulation software Lecture notes and course book
14) Sample industrial robotics applications Lecture notes and course book

Sources

Course Notes / Textbooks: 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.
References: yok

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose
4) Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8) Knowledge of the global and societal impacts of engineering practices on priority issues such as health, environment and safety and contemporary issues; knowledge of the legal aspects of engineering solutions. awareness of the consequences
9) Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and knowledge about sustainable development.
11) Ability to design systems to meet desired needs
12) Ability to apply basic sciences in the field of computer engineering
13) Ability to implement designs by experiments
14) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.

Learning Activity and Teaching Methods

Anlatım
Bireysel çalışma ve ödevi
Course
Grup çalışması ve ödevi
Okuma
Homework
Proje Hazırlama
Teknik gezi

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Uygulama
Grup Projesi
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 5 % 10
Project 1 % 15
Midterms 1 % 30
Final 1 % 45
total % 100
PERCENTAGE OF SEMESTER WORK % 55
PERCENTAGE OF FINAL WORK % 45
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Application 5 5 25
Study Hours Out of Class 14 4 56
Presentations / Seminar 1 5 5
Project 1 15 15
Homework Assignments 5 3 15
Midterms 1 1 1
Paper Submission 1 7 7
Final 1 2 2
Total Workload 168