MMEK209 Robot TechnologyIstanbul Okan UniversityDegree Programs Mobil TeknolojileriGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mobil Teknolojileri
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

General course introduction information

Course Code: MMEK209
Course Name: Robot Technology
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department/Faculty Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi TANER KARASOY
Course Lecturer(s): Öğr.Gör. DUYGU ÇALIŞKAN
Dr.Öğr.Üyesi MEHMET TEVFİK ÇOBANOĞLU
Course Assistants:

Course Objective and Content

Course Objectives: * Understand the general information about robot technology
* Examining robot mechanics
* Describe robot coordinate movements and control
* To be able to recognize and select robot elements.
* To have general knowledge about robot programming languages and computer aided design and modeling of robots.
Course Content: Introduction, Classification of robots, Robot arm kinematics and dynamics, Orbital planning, Robot control, Sensors, Robot programming languages, Computer aided design of robots.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) * General knowledge about Robot technology field
2) * Examines robot mechanics
3) * Robot coordinate movements and control are explained
4) * Robots can pick and choose elements
5) * Have general knowledge about robot programming languages and computer aided design and modeling of robots
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Introduction to robot technology, definitions, general information
2) Structure of robots and classification of robots
3) Axis and Robot Coordinate Frames
4) Robot Kinematic
5) Robot Dynamic
6) Robot control
7) Trajectory Generation in Robots
8) Midterm
9) Robot power systems and actuators used in robots
10) Robot Sensors
11) Robot sensors (cont.)
12) Material technology in robots
13) Robot software
14) Robot simulation software
15) Final Exam

Sources

Course Notes / Textbooks: Robot Tekniği
Asım Kurtoğlu
Baskı Yılı: 2011
Dili: Türkçe
Yayınevi: Papatya Bilim
Sayfa Sayısı : 288
ISBN: 9786054220373
References: Robot Tekniği
Asım Kurtoğlu
Baskı Yılı: 2011
Dili: Türkçe
Yayınevi: Papatya Bilim
Sayfa Sayısı : 288
ISBN: 9786054220373

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Has basic theoretical and practical knowledge in mathematics, computation and computer science.
2) It implements the defined problems and models of computer science and / or computer science and implements basic solution proposals.
3) Uses algorithmic thinking and planning approach in their applications.
4) Develops software components whose specifications are defined.
5) Communicates spoken and written; at least one foreign language at least on the European Language Portfolio A2 General Level, monitors information in the field of computer science and computer science and communicates with colleagues.
6) The necessity of lifelong learning follows consciousness and current developments in information and communication technologies.
7) Vocational and ethical responsibility is conscious and has an awareness of professional ethics in information applications.
8) It works effectively either individually or on teams.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Has basic theoretical and practical knowledge in mathematics, computation and computer science.
2) It implements the defined problems and models of computer science and / or computer science and implements basic solution proposals.
3) Uses algorithmic thinking and planning approach in their applications.
4) Develops software components whose specifications are defined.
5) Communicates spoken and written; at least one foreign language at least on the European Language Portfolio A2 General Level, monitors information in the field of computer science and computer science and communicates with colleagues.
6) The necessity of lifelong learning follows consciousness and current developments in information and communication technologies.
7) Vocational and ethical responsibility is conscious and has an awareness of professional ethics in information applications.
8) It works effectively either individually or on teams.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Individual Project

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 9 4 36
Homework Assignments 4 6 24
Midterms 1 12 12
Final 1 24 24
Total Workload 138