Mechanical Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course General Introduction Information

Course Code:

MCH310

Course Name:

Robotik

Course Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Course Requirement:

Does the Course Require Work Experience?:

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 KÜRŞAT TANRIVER

Course Lecturer(s):

Course Assistants:

Course Purpose and Content

Course Objectives:	Determination of the position of robots, transformation between spaces and teaching the elements to be used in robot design.
Course Content:	Introduction, Robot and Robotics, History, 2D and 3D Geometry, Robot Navigation, Kinematic Analysis of Robots, Robot Dynamics, Joint Control, Sensors and Actuators, Mobile Robots, Artificial Intelligence.

Learning Outcomes

The students who have succeeded in this course;
1) To recognise the types of robots, to be able to foresee their usage areas.
2) Understand the transformations between axis sets.
3) Understanding robot kinematics and determining its orientation.
4) To know the movement mechanisms of mobile robots.
5) To be able to make path planning for mobile robots.
6) To calculate the joint states in order to reach a desired position and orientation of the end of the robot.
7) To find the end position and orientation caused by known joint states.
8) To determine the appropriate location and orientation of the axis sets.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction, Robot and Robotics, History
2)	2D Geometry
3)	3D Geometry
4)	Kinematic Analysis of Robots
5)	DH Display
6)	Inverse Kinematics
7)	Robot Dynamics
8)	Midterm Exam
9)	Mobile Robots
10)	Robot Navigation
11)	Air and Sea Robots
12)	Angle and accelerometer, movement mechanisms.
13)	Robotic Vision
14)	Artificial Intelligence
15)	Final Exam

Sources

Course Notes / Textbooks:	Introduction to Autonomous Mobile Robots , Roland Siegwart, Illah Nourbakhsh, Davide Scaramuzza, The MIT Press, second edition 2011
References:	Andrew Glaser, Industrial Robotics

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Medium	3 Highest

	Program Outcomes	Level of Contribution
1)	Having advanced theoretical and practical knowledge supported by textbooks, application tools and other resources containing current information in the field.	2
2)	Ability to use advanced theoretical and practical knowledge acquired in the field.	2
3)	Ability to interpret and evaluate data, identify and analyze problems, and develop solution suggestions based on research and evidence, using the advanced knowledge and skills acquired in the field.	2
4)	To be able to inform relevant people and institutions on issues related to the field; Ability to convey thoughts and solution suggestions to problems in written and oral form.	2
5)	Ability to share one's thoughts on issues related to one's field and solutions to problems, supported by quantitative and qualitative data, with experts and non-experts.	2
6)	Ability to organize and implement projects and events for the social environment in which one lives with awareness of social responsibility.	2
7)	Ability to monitor knowledge in the field and communicate with colleagues by using a foreign language at least at the European Language Portfolio B1 General Level.	2
8)	Ability to use information and communication technologies along with computer software at least at the Advanced Level of the European Computer Usage License required by the field.	2
9)	Acting in accordance with social, scientific, cultural and ethical values during the collection, interpretation, application and announcement of the results of data related to the field.	2
10)	Having sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety.	2
11)	Ability to evaluate the advanced knowledge and skills acquired in the field with a critical approach.	2
12)	Ability to identify learning needs and direct learning	1
13)	Being able to develop a positive attitude towards lifelong learning.	2
14)	Ability to independently carry out an advanced study related to the field.	2
15)	Ability to take responsibility individually and as a team member to solve unforeseen complex problems encountered in field-related applications.	2
16)	Ability to plan and manage activities aimed at the development of the employees under his/her responsibility within the framework of a project.	2

Learning Activity and Teaching Methods

Anlatım
Beyin fırtınası /Altı şapka
Bireysel çalışma ve ödevi
Course
Grup çalışması ve ödevi
Okuma
Homework
Problem Çözme

Measurement and Evaluation Methods and Criteria

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	2	% 20
Midterms	1	% 20
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
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	14	4			56
Homework Assignments	14	3			42
Midterms	14	1			14
Final	14	1			14
Total Workload					168