Computer Programming (Evening Education) Preview
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

Course Introduction and Application Information

Course Code:

MYO057

Course Name:

Advanced Robotic Coding

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental 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:

Öğr. Gör. AHMET SELİM ÖVER

Course Lecturer(s):

Öğr. Gör. Burak Ağgül

Course Assistants:

Course Objective and Content

Course Objectives:

The aim of this course is to provide students with the basic principles of robotic systems and key skills in the design, programming and implementation processes. The course aims to provide students with a comprehensive perspective by covering a wide range of topics including hardware and software integration, sensor use, motion control, artificial intelligence applications and project development. The goal of the course is to develop students' skills in effectively designing, programming and managing robotic systems. The course, which aims to provide practical experience using important tools such as ROS, also aims to convey the basic knowledge of artificial intelligence and machine learning to students and increase their ability to use these technologies successfully in robotic applications. At the end of the course, students will be able to follow current developments in the field of robotics, develop critical thinking skills and manage robotic projects independently.

Course Content:

This course covers the basic principles and applications of robotic systems. Hardware and software integration, use of sensors, motion control, artificial intelligence algorithms and machine learning models are examined in technical detail. Students gain practical experience using tools such as ROS (Robot Operating System) and develop their own robotic projects. Current technical information on industrial robotic applications is also included in the course content. This course aims to provide students with the skills to understand and design complex robotic systems.

Learning Outcomes

The students who have succeeded in this course;
1) Robotics Fundamentals: In the first part of the course, students learn the basic concepts and terminology of the robotics world. They introduce the field of robotics by focusing on different types of robots and their features.
2) ROS Fundamentals and Integration: Students who learn the basic principles of ROS understand how Raspberry Pi is integrated with this system. By understanding software development processes with ROS, they learn to use the powerful tools offered by this platform.
3) Sensors and Sensing: In this phase of the course, students examine sensors commonly used in robotic systems. They learn sensing and mapping strategies and understand the strategic role of sensors in the development of projects.
4) Motion Control and Navigation: By being introduced to motion control strategies and navigation algorithms, students learn and improve how to effectively achieve motion control in the implementation of projects.
5) Artificial Intelligence and Machine Learning Applications: It focuses on basic artificial intelligence and machine learning concepts, evaluates artificial intelligence applications and its role in industrial robotics, and provides information about current technology trends.

Course Flow Plan

Week	Subject	Related Preparation
1)	Orientation and Entry	None
2)	Robotics and Basic Terminology	None
3)	ROS (Robot Operating System) Basics	None
4)	Raspberry Pi and ROS integration	None
5)	Software development with ROS	None
6)	Sensors and Detection	None
7)	Development and Testing of Projects- I	None
8)	Midterm	1,2,3,4,5,6,7
9)	Gesture Control and Navigation	None
10)	Projects and Application	None
11)	Artificial Intelligence and Machine Learning	None
12)	Industrial Robotics	None
13)	Development and Testing of Projects- II	None
14)	Term Repeat	None
15)	Final	9,10,11,12,13,14

Sources

Course Notes / Textbooks:	Robot Programlama Seti - 3 Kitap Takım, Yazar: Akın Akçaoğlu
References:	1. ROBOT PROGRAMLAMA EĞİTİM KİTABI, Yazar: Dr. Ahmet Ali SÜZEN 2. PROJELERLE YAPAY ZEKA VE BİLGİSAYARLI GÖRÜ EĞİTİM KİTABI, Yazar : Ümit AKSOYLU 3. PYTHON PROJELER VE POPÜLER KÜTÜPHANELER EĞİTİM KİTABI, Yazar : Burak YILDIZ

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) He gains the ability of problem solving and analytical thinking skills.
2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts.
3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem.
4) He understands object-oriented programming concept and web programming.
5) He learns radix systems, fundamental electronics and computer hardware knowledge.
6) He gains mobile programming skills and develops applications for mobile platforms.
7) He designs and codes databases.
8) He learns to program and use computer networks, open source operating systems.
9) He uses the English language effectively.
10) He learns to use appropriate data structures according to programming requirements.
11) He develops software individually or as a team.
12) He follows developments in the field, high technology tools / applications.
13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	He gains the ability of problem solving and analytical thinking skills.	3
2)	He learns the fundamentals of computer programming, hardware and software and the basic computer concepts.	3
3)	He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem.	3
4)	He understands object-oriented programming concept and web programming.	3
5)	He learns radix systems, fundamental electronics and computer hardware knowledge.	3
6)	He gains mobile programming skills and develops applications for mobile platforms.	3
7)	He designs and codes databases.	3
8)	He learns to program and use computer networks, open source operating systems.	3
9)	He uses the English language effectively.	3
10)	He learns to use appropriate data structures according to programming requirements.	3
11)	He develops software individually or as a team.	3
12)	He follows developments in the field, high technology tools / applications.	3
13)	He gains awareness of professional and ethical responsibility and has an awareness of professional ethics.	3

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 Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	2	10			20
Midterms	1	30	1		31
Final	1	35			35
Total Workload					86