GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

SMART AND AUTONOMOUS SYSTEMS/BEBS5102

Course Title:	SMART AND AUTONOMOUS SYSTEMS
Credits	3	ECTS	6
Course Semester	1	Type of The Course	Elective

COURSE INFORMATION

-- (CATALOG CONTENT)

-- (TEXTBOOK)

-- (SUPPLEMENTARY TEXTBOOK)

-- (PREREQUISITES AND CO-REQUISITES)

-- LANGUAGE OF INSTRUCTION

Turkish

-- COURSE OBJECTIVES

-- COURSE LEARNING OUTCOMES

At the end of this course, students will gain the following features; Knows the operating system design that makes access to resources understandable to the user on autonomous systems.
Knows the properties and characteristics of distributed systems.
Knows the principles of resource management and design.

-- MODE OF DELIVERY

This course is only face-to-face training.

--WEEKLY SCHEDULE
1. Week	Definition and Analysis of Autonomous Systems, Autonomic Nervous System and Hypothalamus, Intelligent and Autonomous Systems
2. Week	Energy Collection for Autonomous Systems
3. Week	Autonomous (Driverless) Vehicles and Subsystems Forming Autonomous Vehicles
4. Week	Precise Positioning System and Global Orbit Planning System.
5. Week	Environmental Perception and Signaling System. Decision Making System. Local Trajectory Planning System.
6. Week	Decision Implementation and Support System. A Simple Application Example
7. Week	Basics of Border Gateway Protocol
8. Week	Mid-term Exam
9. Week	Autonomous Robots Introduction
10. Week	Industry 4.0 and Autonomous Robots
11. Week	Autonomous Unmanned Aerial Vehicles
12. Week	Autonomous military drones
13. Week	Autonomous Flight System, unmanned systems, aerospace, cockpit systems, system engineering, software engineering and management
14. Week	Embedded System Solutions for Autonomous Systems Embedded System Solutions for Drones
15. Week	Final Exam
16. Week

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	35
Assignment	4	25
Application	0	0
Projects	0	0
Practice	0	0
Quiz	0	0

Percent of In-term Studies		60
Percentage of Final Exam to Total Score		40

-- WORKLOAD

Activity	Total Number of Weeks	Duration (weekly hour)	Total Period Work Load
Weekly Theoretical Course Hours	14	3	42
Weekly Tutorial Hours	0	0	0
Reading Tasks	14	2	28
Searching in Internet and Library	14	2	28
Material Design and Implementation	0	0	0
Report Preparing	4	4	16
Preparing a Presentation	0	0	0
Presentation	0	0	0
Midterm Exam and Preperation for Midterm Exam	1	12	12
Final Exam and Preperation for Final Exam	1	24	24
Other (should be emphasized)	0	0	0
TOTAL WORKLOAD:			150
TOTAL WORKLOAD / 25:			6
Course Credit (ECTS):			6

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1						X
2				X
3					X
4						X
5					X
6					X
7					X
8				X
9			X
10				X
11				X
12				X
13			X
14					X
15			X
16			X
17			X
18				X

-- NAME OF LECTURER(S)

(Prof. Dr. Mahir DURSUN)

-- WEB SITE(S) OF LECTURER(S)

(https://websitem.gazi.edu.tr/site/mdursun)

-- EMAIL(S) OF LECTURER(S)

(mdursun@gazi.edu.tr)

Gazi University

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR