Cyber Security (Master) (without Thesis) (English) Preview
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code:

AO5013

Course Name:

Robotic Systems

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Dr. Öğr. Üy. EZGİ ÖZER

Course Lecturer(s):

Dr. Öğr. Üye. Ezgi Özer

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to teach the theory of robots and to enable them to do practical studies on robot construction.
Course Content:	In this course, sub-systems and components of autonomous robots are introduced, motion techniques are taught, applications related to trajectory planning are studied, control strategies for robots are explained, students are informed about new technologies and application areas in robots.

Learning Outcomes

The students who have succeeded in this course;
2) 1) Learn the basic concepts of robotics, axes, coordinate systems, 2) Define the functional components of a robot, 3) Learns the elements of the robot system, types of robots and places of use, 4) Apply a trajectory, whose mathematical definition is given, on the computer, 5) Determine the control strategy suitable for the robot,
2) 1) Learn the basic concepts of robotics, axes, coordinate systems, 2) Define the functional components of a robot, 3) Learns the elements of the robot system, types of robots and places of use, 4) Apply a trajectory, whose mathematical definition is given, on the computer, 5) Determine the control strategy suitable for the robot,

Course Flow Plan

Week	Subject	Related Preparation
1)	History of robots
1)	History of robots
1)	History of robots

Sources

Course Notes / Textbooks:	"1) G. Dudek, M. Jenkin, “Computational Principles of Mobile Robots”, Cambridge, 2000, ISBN: 978-521-56876-0. 2) G. A. Bekey, “Autonomous Robots: From Biologically Inspiration to Implementation and Control”, MIT, 2005, ISBN: 0-262-02578-7."
References:	"1) G. Dudek, M. Jenkin, “Computational Principles of Mobile Robots”, Cambridge, 2000, ISBN: 978-521-56876-0. 2) G. A. Bekey, “Autonomous Robots: From Biologically Inspiration to Implementation and Control”, MIT, 2005, ISBN: 0-262-02578-7."

Course - Program Learning Outcome Relationship

Course Learning Outcomes	2	2
Program Outcomes
1) Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications.
2) To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field.
3) To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines.
4) To be able to solve the problems encountered in the field by using research methods.
5) To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data.
6) To be able to communicate orally and in writing using a foreign language at least at the B2 General Level of the European Language Portfolio.
7) To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning.
8) To be able to use information and communication technologies at an advanced level along with computer software at the level required by the field.
9) To be able to supervise and teach these values by observing social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field.
10) To be able to use the knowledge, problem solving and/or application skills they have internalized in their field in interdisciplinary studies.
11) Being able to independently carry out a work that requires expertise in the field.
12) To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications.
2)	To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field.
3)	To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines.
4)	To be able to solve the problems encountered in the field by using research methods.
5)	To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data.
6)	To be able to communicate orally and in writing using a foreign language at least at the B2 General Level of the European Language Portfolio.
7)	To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning.
8)	To be able to use information and communication technologies at an advanced level along with computer software at the level required by the field.
9)	To be able to supervise and teach these values by observing social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field.
10)	To be able to use the knowledge, problem solving and/or application skills they have internalized in their field in interdisciplinary studies.
11)	Being able to independently carry out a work that requires expertise in the field.
12)	To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	5	% 30
Midterms	1	% 30
Final Sözlü	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 100
PERCENTAGE OF FINAL WORK		%
total		% 100